AI Models verified for OpenVINO™#
The following is a list of models that have been verified to work with OpenVINO. Note that other models from OpenVINO-supported frameworks may also work properly but have not been tested.
AI Models that run on Intel® Core Ultra™ Processors with OpenVINO™ toolkit:
Model |
Category |
Framework |
Precision |
AI PC CPU |
AI PC GPU |
AI PC NPU |
---|---|---|---|---|---|---|
aclnet |
Sound Classification |
onnx |
FP16 |
|||
aclnet |
Sound Classification |
onnx |
FP16-INT8 |
|||
aclnet |
Sound Classification |
onnx |
FP32 |
|||
aclnet-int8 |
Sound Classification |
onnx |
FP16-INT8 |
|||
adv_inception_v3 |
Image Classification |
pytorch |
FP32 |
|||
albert-base-v2 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
albert-base-v2-sst2 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
albert-large-v2 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
albert-large-v2-finetuned-mnli |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
alexnet-caffe |
Image Classification |
caffe |
FP16 |
|||
alexnet-caffe |
Image Classification |
caffe |
FP32 |
|||
alexnet-onnx |
Image Classification |
onnx |
FP16 |
|||
alexnet-onnx |
Image Classification |
onnx |
FP16-INT8 |
|||
alexnet-onnx |
Image Classification |
onnx |
FP32 |
|||
Aquila2-7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Aquila-7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
AquilaChat2-7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
AquilaChat-7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
arcfaceresnet100-8_resnet100 |
Object Detection |
onnx |
FP16 |
|||
arcfaceresnet100-8_resnet100 |
Object Detection |
onnx |
FP32 |
|||
ast-finetuned-speech-commands-v2 |
Audio Classification |
pytorch |
intel-optimum default |
|||
Baichuan2-13B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
Baichuan2-7B-Base |
Large Language Model |
pytorch |
intel-optimum default |
|||
Baichuan2-7B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
bart-base-japanese |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
began |
Image Processing, Enhancement |
onnx |
FP16 |
|||
began |
Image Processing, Enhancement |
onnx |
FP32 |
|||
beit_base_patch16_224 |
Image Classification |
pytorch |
FP32 |
|||
beit-base-patch16-224-pt22k-ft22k |
Image Classification |
pytorch |
intel-optimum default |
|||
bert-base-cased-conversational |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bert-base-cased-onnx |
Natural Language Processing |
onnx |
FP16 |
|||
bert-base-cased-onnx |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
bert-base-cased-onnx |
Natural Language Processing |
onnx |
FP32 |
|||
bert-base-cased-paddle |
Natural Language Processing |
paddle |
FP16 |
|||
bert-base-cased-paddle |
Natural Language Processing |
paddle |
FP16-INT8 |
|||
bert-base-cased-paddle |
Natural Language Processing |
paddle |
FP32 |
|||
bert-base-cased-squad2 |
Natural Language Processing |
onnx |
FP16 |
|||
bert-base-cased-squad2 |
Natural Language Processing |
onnx |
FP32 |
|||
bert-base-chinese-xnli-zh |
Natural Language Processing |
tf |
FP16 |
|||
bert-base-chinese-xnli-zh |
Natural Language Processing |
tf |
FP32 |
|||
bert-base-ner |
Natural Language Processing |
onnx |
FP16 |
|||
bert-base-ner |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
bert-base-ner |
Natural Language Processing |
onnx |
FP32 |
|||
bert-base-NER |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bert-base-uncased |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bert-base-uncased-mrpc |
Natural Language Processing |
onnx |
FP16 |
|||
bert-base-uncased-mrpc |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
bert-base-uncased-mrpc |
Natural Language Processing |
onnx |
FP32 |
|||
bert-base-uncased-yelp-polarity |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
BERT-Large-CT-STSb |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bert-large-NER |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bert-large-uncased |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bert-large-uncased-whole-word-masking-finetuned-sst-2 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bert-large-uncased-whole-word-masking-squad-0001 |
Natural Language Processing |
onnx |
FP16 |
|||
bert-large-uncased-whole-word-masking-squad-0001 |
Natural Language Processing |
onnx |
FP32 |
|||
bert-large-uncased-whole-word-masking-squad-int8-0001 |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
bert-small-finetuned-squadv2 |
Large Language Model |
pytorch |
intel-optimum default |
|||
bertsquad-12 |
Natural Language Processing |
onnx |
FP16 |
|||
bertsquad-12 |
Natural Language Processing |
onnx |
FP32 |
|||
bge-base-en-v1.5 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bge-large-en-v1.5 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bge-reranker-base |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bge-reranker-large |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
BioMedLM |
Large Language Model |
pytorch |
intel-optimum default |
|||
bisenet-v2 |
Semantic Segmentation |
paddle |
FP16 |
|||
bisenet-v2 |
Semantic Segmentation |
paddle |
FP32 |
|||
blenderbot-400M-distill |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
bloom-560m |
Large Language Model |
pytorch |
intel-optimum default |
|||
bloomz-1b1 |
Large Language Model |
pytorch |
intel-optimum default |
|||
bloomz-3b |
Large Language Model |
pytorch |
intel-optimum default |
|||
bloomz-7b1-mt |
Large Language Model |
pytorch |
intel-optimum default |
|||
botnet26t_256 |
Image Classification |
pytorch |
FP32 |
|||
brain-tumor-segmentation-0002 |
Image Classification |
onnx |
FP16 |
|||
brain-tumor-segmentation-0002 |
Image Classification |
onnx |
FP16-INT8 |
|||
bvlcalexnet-12 |
Image Classification |
onnx |
FP16 |
|||
bvlcalexnet-12 |
Image Classification |
onnx |
FP32 |
|||
caffenet-12 |
Image Classification |
onnx |
FP16 |
|||
caffenet-12 |
Image Classification |
onnx |
FP32 |
|||
cait_m36_384 |
Image Classification |
pytorch |
FP32 |
|||
candy-8_candy |
Vision Style Transfer |
onnx |
FP16 |
|||
candy-8_candy |
Vision Style Transfer |
onnx |
FP32 |
|||
coat_lite_mini |
Image Classification |
pytorch |
FP32 |
|||
codegemma-1.1-2b |
Large Language Model |
pytorch |
intel-optimum default |
|||
codegemma-1.1-7b-it |
Large Language Model |
pytorch |
intel-optimum default |
|||
codegemma-2b |
Large Language Model |
pytorch |
intel-optimum default |
|||
codegemma-7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
codegen2-1B_P |
Large Language Model |
pytorch |
intel-optimum default |
|||
codegen2-3_7B_P |
Large Language Model |
pytorch |
intel-optimum default |
|||
codegen2-7B_P |
Large Language Model |
pytorch |
intel-optimum default |
|||
codegen-2B-multi |
Large Language Model |
pytorch |
intel-optimum default |
|||
codegen-350M-mono |
Large Language Model |
pytorch |
intel-optimum default |
|||
codegen-6B-multi |
Large Language Model |
pytorch |
intel-optimum default |
|||
CodeQwen1.5-7B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
colorization-siggraph |
Colorization |
onnx |
FP16 |
|||
colorization-siggraph |
Colorization |
onnx |
FP16 |
|||
colorization-siggraph |
Colorization |
onnx |
FP32 |
|||
colorization-siggraph |
Colorization |
onnx |
FP32 |
|||
colorization-v2 |
Colorization |
onnx |
FP16-INT8 |
|||
common-sign-language-0001 |
Image Classification |
onnx |
FP16 |
|||
common-sign-language-0001 |
Image Classification |
onnx |
FP32 |
|||
convbert-base-turkish-mc4-toxicity-uncased |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
convit_base |
Image Classification |
pytorch |
FP32 |
|||
convmixer_768_32 |
Image Classification |
pytorch |
FP32 |
|||
convnext_base |
Image Classification |
pytorch |
FP32 |
|||
convnext-base-224 |
Image Classification |
pytorch |
intel-optimum default |
|||
crnn-tf |
Image-to-Text |
tf |
FP16 |
|||
crnn-tf |
Image-to-Text |
tf |
FP32 |
|||
crossvit_9_240 |
Image Classification |
pytorch |
FP32 |
|||
cspdarknet53 |
Image Classification |
pytorch |
FP32 |
|||
darknet19 |
Image Classification |
tf |
FP16 |
|||
darknet19 |
Image Classification |
tf |
FP16-INT8 |
|||
darknet19 |
Image Classification |
tf |
FP32 |
|||
deberta-v3-large |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
deeplabv3 |
Semantic Segmentation |
tf |
FP16 |
|||
deeplabv3 |
Semantic Segmentation |
tf |
FP16-INT8 |
|||
deeplabv3 |
Semantic Segmentation |
tf |
FP32 |
|||
deeplab-v3p-resnet50-os8 |
Semantic Segmentation |
paddle |
FP16 |
|||
deeplab-v3p-resnet50-os8 |
Semantic Segmentation |
paddle |
FP16-INT8 |
|||
deeplab-v3p-resnet50-os8 |
Semantic Segmentation |
paddle |
FP32 |
|||
deit_base_distilled_patch16_224 |
Image Classification |
pytorch |
FP32 |
|||
Denoise |
Audio Enhancement |
tf |
FP16 |
|||
Denoise |
Audio Enhancement |
tf |
FP32 |
|||
densenet-121-caffe |
Image Classification |
caffe |
FP16 |
|||
densenet-121-caffe |
Image Classification |
caffe |
FP32 |
|||
densenet-121-onnx |
Image Classification |
onnx |
FP16 |
|||
densenet-121-onnx |
Image Classification |
onnx |
FP16-INT8 |
|||
densenet-121-tf |
Image Classification |
tf |
FP16 |
|||
densenet-121-tf |
Image Classification |
tf |
FP32 |
|||
densenet-121-tf2 |
Image Classification |
tf2 |
FP16 |
|||
densenet-121-tf2 |
Image Classification |
tf2 |
FP32 |
|||
detr_resnet50 |
Object Detection |
onnx |
FP16 |
|||
detr_resnet50 |
Object Detection |
onnx |
FP32 |
|||
dien_alibaba |
Behavior / Decision Prediction |
tf |
FP16 |
|||
dien_alibaba |
Behavior / Decision Prediction |
tf |
FP32 |
|||
distilbert-base-cased |
Natural Language Processing |
onnx |
FP16 |
|||
distilbert-base-cased |
Natural Language Processing |
onnx |
FP32 |
|||
distilbert-base-nli-mean-tokens |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
distilbert-base-uncased |
Natural Language Processing |
onnx |
FP16 |
|||
distilbert-base-uncased |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
distilbert-base-uncased-distilled-squad |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
distilbert-base-uncased-sst-2 |
Natural Language Processing |
onnx |
FP16 |
|||
distilbert-base-uncased-sst-2 |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
distilbert-base-uncased-sst-2 |
Natural Language Processing |
onnx |
FP32 |
|||
distilbert-NER |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
distil-large-v3 |
Speech Recognition |
pytorch |
intel-optimum default |
|||
distil-medium.en |
Speech Recognition |
pytorch |
intel-optimum default |
|||
dla102 |
Image Classification |
pytorch |
FP32 |
|||
dm_nfnet_f0 |
Image Classification |
pytorch |
FP32 |
|||
DNA Classification |
onnx |
FP16 |
||||
DNA Classification |
onnx |
FP32 |
||||
dpn107 |
Image Classification |
pytorch |
FP32 |
|||
dpn-68 |
Image Classification, Dual Path Network |
onnx |
FP16 |
|||
dpn-68 |
Image Classification, Dual Path Network |
onnx |
FP16-INT8 |
|||
dpn-68 |
Image Classification, Dual Path Network |
onnx |
FP32 |
|||
east_resnet_v1_50 |
Image Classification |
tf |
FP16 |
|||
east_resnet_v1_50 |
Image Classification |
tf |
FP16-INT8 |
|||
east_resnet_v1_50 |
Image Classification |
tf |
FP32 |
|||
ebgan |
Image Processing, Enhancement |
onnx |
FP16 |
|||
ebgan |
Image Processing, Enhancement |
onnx |
FP32 |
|||
eca_botnext26ts_256 |
Image Classification |
pytorch |
FP32 |
|||
eca_halonext26ts |
Image Classification |
pytorch |
FP32 |
|||
edsr3_super_resolution |
Image Processing, Enhancement |
tf |
FP16 |
|||
edsr3_super_resolution |
Image Processing, Enhancement |
tf |
FP32 |
|||
edsr3-nas |
Image Processing, Enhancement |
onnx |
FP16 |
|||
edsr3-nas |
Image Processing, Enhancement |
onnx |
FP32 |
|||
efficientdet-d0-tf |
Object Detection |
tf |
FP16 |
|||
efficientdet-d0-tf |
Object Detection |
tf |
FP16 |
|||
efficientdet-d0-tf |
Object Detection |
tf |
FP16-INT8 |
|||
efficientdet-d0-tf |
Object Detection |
tf |
FP16-INT8 |
|||
efficientnet-b0-onnx |
Object Detection |
onnx |
FP16 |
|||
efficientnet-b0-onnx |
Object Detection |
onnx |
FP16-INT8 |
|||
efficientnet-b0-onnx |
Object Detection |
onnx |
FP32 |
|||
efficientnet-b0-tf |
Object Detection |
tf |
FP16 |
|||
efficientnet-b0-tf |
Object Detection |
tf |
FP16-INT8 |
|||
efficientnet-b0-tf |
Object Detection |
tf |
FP32 |
|||
efficientnet-lite4-11_efficientnet-lite4 |
Image Classification |
onnx |
FP16 |
|||
efficientnet-lite4-11_efficientnet-lite4 |
Image Classification |
onnx |
FP32 |
|||
efficientnet-v2-m |
Object Detection |
onnx |
FP16 |
|||
efficientnet-v2-m |
Object Detection |
onnx |
FP16-INT8 |
|||
efficientnet-v2-m |
Object Detection |
onnx |
FP32 |
|||
electra-base-french-europeana-cased-generator |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
electra-large-discriminator-nli-efl-tweeteval |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
emotion-ferplus-8_model |
Object Detection |
onnx |
FP16 |
|||
emotion-ferplus-8_model |
Object Detection |
onnx |
FP32 |
|||
emotions-recognition-retail-0003 |
Image Classification, Emotion |
caffe |
FP16 |
|||
emotions-recognition-retail-0003 |
Image Classification, Emotion |
caffe |
FP16-INT8 |
|||
ese_vovnet19b_dw |
Image Classification |
pytorch |
FP32 |
|||
esrgan |
Image Processing, Enhancement |
onnx |
FP16 |
|||
esrgan |
Image Processing, Enhancement |
onnx |
FP16 |
|||
esrgan |
Image Processing, Enhancement |
onnx |
FP32 |
|||
f3net |
Object Detection |
onnx |
FP16 |
|||
f3net |
Object Detection |
onnx |
FP16-INT8 |
|||
f3net |
Object Detection |
onnx |
FP32 |
|||
faceboxes-caffe |
Object Detection |
caffe |
FP16 |
|||
faceboxes-caffe |
Object Detection |
caffe |
FP32 |
|||
faceboxes-onnx |
Object Detection |
onnx |
FP16 |
|||
faceboxes-onnx |
Object Detection |
onnx |
FP16-INT8 |
|||
faceboxes-onnx |
Object Detection |
onnx |
FP32 |
|||
face-detection-0200 |
Object Detection |
onnx |
FP16 |
|||
face-detection-0202 |
Object Detection |
onnx |
FP16 |
|||
face-detection-0202 |
Object Detection |
onnx |
FP32 |
|||
face-detection-0204 |
Object Detection |
onnx |
FP16 |
|||
face-detection-adas-0001 |
Object Detection |
caffe |
FP16 |
|||
face-detection-adas-0001 |
Object Detection |
caffe |
FP32 |
|||
face-detection-retail-0004 |
Object Detection |
caffe |
FP16 |
|||
face-detection-retail-0004 |
Object Detection |
caffe |
FP32 |
|||
face-detection-retail-0044 |
Object Detection |
caffe |
FP16 |
|||
face-detection-retail-0044 |
Object Detection |
caffe |
FP32 |
|||
facenet |
Object Detection |
onnx |
FP16 |
|||
facenet |
Object Detection |
onnx |
FP16-INT8 |
|||
facenet-20180408-102900 |
Object Detection |
tf |
FP16 |
|||
facenet-20180408-102900 |
Object Detection |
tf |
FP32 |
|||
face-recognition-mobilefacenet-arcface |
Object Detection |
mxnet |
FP16 |
|||
face-recognition-mobilefacenet-arcface |
Object Detection |
mxnet |
FP16-INT8 |
|||
face-recognition-resnet50-arcface |
Object Detection |
mxnet |
FP16 |
|||
face-recognition-resnet50-aws |
Object Detection |
mxnet |
FP16 |
|||
face-recognition-resnet50-aws |
Object Detection |
mxnet |
FP32 |
|||
face-reidentification-retail-0095 |
Object Detection |
onnx |
FP16 |
|||
face-reidentification-retail-0095 |
Object Detection |
onnx |
FP16-INT8 |
|||
facial-landmarks-35-adas-0002 |
Object Detection |
caffe |
FP16 |
|||
facial-landmarks-35-adas-0002 |
Object Detection |
caffe |
FP16-INT8 |
|||
facial-landmarks-98-detection-0001 |
Object Detection |
onnx |
FP16 |
|||
facial-landmarks-98-detection-0001 |
Object Detection |
onnx |
FP32 |
|||
falcon-11B |
Large Language Model |
pytorch |
intel-optimum default |
|||
falcon-7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
falcon-7b-instruct |
Large Language Model |
pytorch |
intel-optimum default |
|||
faster_rcnn_inception_resnet_v2_atrous_coco |
Object Detection |
tf |
FP16 |
|||
faster_rcnn_inception_resnet_v2_atrous_coco |
Object Detection |
tf |
FP32 |
|||
faster_rcnn_inception_v2_coco |
Object Detection |
tf |
FP16 |
|||
faster_rcnn_inception_v2_coco |
Object Detection |
tf |
FP32 |
|||
faster_rcnn_resnet101_coco |
Object Detection |
tf |
FP16 |
|||
faster_rcnn_resnet101_coco |
Object Detection |
tf |
FP32 |
|||
faster_rcnn_resnet101_kitti |
Object Detection |
tf |
FP16 |
|||
faster_rcnn_resnet101_kitti |
Object Detection |
tf |
FP32 |
|||
faster_rcnn_resnet50_coco |
Object Detection |
tf |
FP16 |
|||
faster_rcnn_resnet50_coco |
Object Detection |
tf |
FP16-INT8 |
|||
faster_rcnn_resnet50_coco |
Object Detection |
tf |
FP32 |
|||
faster_rcnn_resnet50_fpn_coco |
Object Detection |
onnx |
FP16 |
|||
faster-rcnn-resnet101-coco-sparse-60-0001 |
Object Detection |
tf |
FP16 |
|||
faster-rcnn-resnet101-coco-sparse-60-0001 |
Object Detection |
tf |
FP32 |
|||
fastscnn |
Object Detection |
paddle |
FP16 |
|||
fastscnn |
Object Detection |
paddle |
FP32 |
|||
fastseg-small |
Semantic Segmentation |
onnx |
FP16 |
|||
fastseg-small |
Semantic Segmentation |
onnx |
FP16-INT8 |
|||
fastseg-small |
Semantic Segmentation |
onnx |
FP32 |
|||
fbnetc_100 |
Image Classification |
pytorch |
FP32 |
|||
fbnetv3_b |
Image Classification |
pytorch |
FP32 |
|||
fcn-resnet101-11 |
Object Detection |
onnx |
FP16 |
|||
fcn-resnet101-11 |
Object Detection |
onnx |
FP32 |
|||
fcn-resnet50-11 |
Object Detection |
onnx |
FP16 |
|||
fcn-resnet50-11 |
Object Detection |
onnx |
FP32 |
|||
fcrn-dp-nyu-depth-v2-tf |
Monodepth |
tf |
FP16 |
|||
fcrn-dp-nyu-depth-v2-tf |
Monodepth |
tf |
FP16-INT8 |
|||
fcrn-dp-nyu-depth-v2-tf |
Monodepth |
tf |
FP32 |
|||
flaubert_base_cased |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
flaubert-base-uncased-finetuned-cooking |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
forward-tacotron-duration-prediction |
Text-to-Speech |
onnx |
FP16 |
|||
forward-tacotron-duration-prediction |
Text-to-Speech |
onnx |
FP32 |
|||
fsrcnn-x4 |
Image Processing, Enhancement |
tf |
FP16 |
|||
fsrcnn-x4 |
Image Processing, Enhancement |
tf |
FP32 |
|||
gaze-estimation-adas-0002 |
Object Detection |
onnx |
FP16 |
|||
gemma-1.1-2b-it |
Large Language Model |
pytorch |
intel-optimum default |
|||
gemma-1.1-7b-it |
Large Language Model |
pytorch |
intel-optimum default |
|||
gemma-2b |
Large Language Model |
pytorch |
intel-optimum default |
|||
gemma-2b-it |
Large Language Model |
pytorch |
intel-optimum default |
|||
gemma-7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
gemma-7b-it |
Large Language Model |
pytorch |
intel-optimum default |
|||
gernet_l |
Image Classification |
pytorch |
FP32 |
|||
ghostnet_100 |
Image Classification |
pytorch |
FP32 |
|||
gluon_inception_v3 |
Image Classification |
pytorch |
FP32 |
|||
gmixer_24_224 |
Image Classification |
pytorch |
FP32 |
|||
gmlp_s16_224 |
Image Classification |
pytorch |
FP32 |
|||
googlenet-12 |
Image Classification |
onnx |
FP16 |
|||
googlenet-12 |
Image Classification |
onnx |
FP32 |
|||
googlenet-v4-caffe |
Image Classification |
caffe |
FP16 |
|||
googlenet-v4-caffe |
Image Classification |
caffe |
FP32 |
|||
googlenet-v4-tf |
Image Classification |
tf |
FP16 |
|||
googlenet-v4-tf |
Image Classification |
tf |
FP16-INT8 |
|||
googlenet-v4-tf |
Image Classification |
tf |
FP32 |
|||
GPT-2 |
Large Language Model |
onnx |
FP16 |
|||
GPT-2 |
Large Language Model |
onnx |
FP32 |
|||
gpt2-lm-head-10_GPT-2-LM-HEAD |
Large Language Model |
onnx |
FP16 |
|||
gpt2-lm-head-10_GPT-2-LM-HEAD |
Large Language Model |
onnx |
FP32 |
|||
GPT2Neo1.3BPoints |
Large Language Model |
pytorch |
intel-optimum default |
|||
granite-3b-code-base |
Large Language Model |
pytorch |
intel-optimum default |
|||
granite-3b-code-instruct |
Large Language Model |
pytorch |
intel-optimum default |
|||
granite-8b-code-base |
Large Language Model |
pytorch |
intel-optimum default |
|||
granite-8b-code-instruct |
Large Language Model |
pytorch |
intel-optimum default |
|||
handwritten-japanese-recognition-0001 |
Text Detection |
onnx |
FP16-INT8 |
|||
hg-s8-b1-mpii |
Object Detection |
onnx |
FP16 |
|||
hg-s8-b1-mpii |
Object Detection |
onnx |
FP16-INT8 |
|||
higher-hrnet-w32-512 |
Object Detection |
onnx |
FP16 |
|||
higher-hrnet-w32-512 |
Object Detection |
onnx |
FP32 |
|||
horizontal-text-detection-0001 |
Text Detection |
onnx |
FP16 |
|||
horizontal-text-detection-0001 |
Text Detection |
onnx |
FP16-INT8 |
|||
horizontal-text-detection-0001 |
Text Detection |
onnx |
FP32 |
|||
hrnet_w18 |
Image Classification |
pytorch |
FP32 |
|||
hubert-large-ls960-ft |
Speech Recognition |
pytorch |
intel-optimum default |
|||
human-pose-estimation-3d-0001 |
Object Detection |
onnx |
FP16 |
|||
human-pose-estimation-3d-0001 |
Object Detection |
onnx |
FP32 |
|||
hybrid-cs-model-mri |
Image Processing, Enhancement |
tf2 |
FP16 |
|||
hybrid-cs-model-mri |
Image Processing, Enhancement |
tf2 |
FP32 |
|||
i3d-flow |
Action Recognition |
tf |
FP16 |
|||
i3d-flow |
Action Recognition |
tf |
FP16-INT8 |
|||
i3d-flow |
Action Recognition |
tf |
FP32 |
|||
ibert-roberta-base |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
ibert-roberta-base-finetuned-mrpc |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
inception_v3 |
Image Classification |
pytorch |
FP32 |
|||
inception-v1-12 |
Image Classification |
onnx |
FP16 |
|||
inception-v1-12 |
Image Classification |
onnx |
FP32 |
|||
inception-v2-7_model |
Image Classification |
onnx |
FP16 |
|||
inception-v2-7_model |
Image Classification |
onnx |
FP32 |
|||
instance-segmentation-security-0002 |
Instance Segmentation |
onnx |
FP16 |
|||
instance-segmentation-security-0002 |
Instance Segmentation |
onnx |
FP32 |
|||
instance-segmentation-security-0010 |
Instance Segmentation |
onnx |
FP16 |
|||
instance-segmentation-security-0010 |
Instance Segmentation |
onnx |
FP32 |
|||
internlm2-1_8b |
Large Language Model |
pytorch |
intel-optimum default |
|||
internlm2-7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
internlm2-chat-1_8b |
Large Language Model |
pytorch |
intel-optimum default |
|||
internlm2-chat-7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
internlm2-chat-7b-sft |
Large Language Model |
pytorch |
intel-optimum default |
|||
internlm2-math-7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
internlm2-math-base-7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
jx_nest_base |
Image Classification |
pytorch |
FP32 |
|||
klue-roberta-base-ner |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
LCM_Dreamshaper_v7 |
Text-to-Image |
pytorch |
intel-optimum default |
|||
lcnet_050 |
Image Classification |
pytorch |
FP32 |
|||
levit_128 |
Image Classification |
pytorch |
FP32 |
|||
levit-256 |
Image Classification |
pytorch |
intel-optimum default |
|||
Llama-2-13b-chat-hf |
Large Language Model |
pytorch |
intel-optimum default |
|||
Llama-2-13b-hf |
Large Language Model |
pytorch |
intel-optimum default |
|||
Llama-2-7b-chat-hf |
Large Language Model |
pytorch |
intel-optimum default |
|||
Llama-2-7b-hf |
Large Language Model |
pytorch |
intel-optimum default |
|||
m2m100_418M |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
Magicoder-CL-7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Magicoder-DS-6.7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Magicoder-S-CL-7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Magicoder-S-DS-6.7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
MarianCausalLM |
Large Language Model |
pytorch |
intel-optimum default |
|||
marian-finetuned-kde4-en-to-cn-accelerate |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
mask_rcnn_inception_resnet_v2_atrous_coco |
Instance Segmentation |
tf |
FP16 |
|||
mask_rcnn_inception_resnet_v2_atrous_coco |
Instance Segmentation |
tf |
FP32 |
|||
mask_rcnn_inception_v2_coco |
Instance Segmentation |
tf |
FP16 |
|||
mask_rcnn_inception_v2_coco |
Instance Segmentation |
tf |
FP16-INT8 |
|||
mask_rcnn_inception_v2_coco |
Instance Segmentation |
tf |
FP32 |
|||
mask_rcnn_resnet101_atrous_coco |
Instance Segmentation |
tf |
FP16 |
|||
mask_rcnn_resnet101_atrous_coco |
Instance Segmentation |
tf |
FP16-INT8 |
|||
mask_rcnn_resnet50_atrous_coco |
Instance Segmentation |
tf |
FP16 |
|||
mask_rcnn_resnet50_atrous_coco |
Instance Segmentation |
tf |
FP16-INT8 |
|||
mask_rcnn_resnet50_atrous_coco |
Instance Segmentation |
tf |
FP32 |
|||
MaskRCNN-12 |
Object Detection |
onnx |
FP16 |
|||
MaskRCNN-12 |
Object Detection |
onnx |
FP32 |
|||
mbart-large-50-many-to-one-mmt |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
Meta-Llama-3-8B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Meta-Llama-3-8B-Instruct |
Large Language Model |
pytorch |
intel-optimum default |
|||
Meta-Llama-Guard-2-8B |
Large Language Model |
pytorch |
intel-optimum default |
|||
midasnet |
Monodepth |
onnx |
FP16 |
|||
midasnet |
Monodepth |
onnx |
FP16-INT8 |
|||
midasnet |
Monodepth |
onnx |
FP32 |
|||
MindChat-Qwen2-4B |
Large Language Model |
pytorch |
intel-optimum default |
|||
MiniCPM-2B-sft-bf16 |
Large Language Model |
pytorch |
intel-optimum default |
|||
Mistral-7B-Instruct-v0.2 |
Large Language Model |
pytorch |
intel-optimum default |
|||
Mistral-7B-Instruct-v0.3 |
Large Language Model |
pytorch |
intel-optimum default |
|||
Mistral-7B-v0.3 |
Large Language Model |
pytorch |
intel-optimum default |
|||
mixer_b16_224 |
Image Classification |
pytorch |
FP32 |
|||
mixnet_l |
Image Classification |
pytorch |
FP32 |
|||
mnasnet_100 |
Image Classification |
pytorch |
FP32 |
|||
mnist-12 |
Image Classification |
onnx |
FP16 |
|||
mnist-12 |
Image Classification |
onnx |
FP32 |
|||
mobilebert |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
mobilebert |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
mobilenet-ssd |
Object Detection |
caffe |
FP16 |
|||
mobilenet-ssd |
Object Detection |
caffe |
FP32 |
|||
mobilenetv2_100 |
Image Classification |
pytorch |
FP32 |
|||
mobilenet-v2-1.0-224-tf |
Object Detection |
tf |
FP16 |
|||
mobilenet-v2-1.0-224-tf |
Object Detection |
tf |
FP16-INT8 |
|||
mobilenet-v2-1.0-224-tf |
Object Detection |
tf |
FP32 |
|||
mobilenet-v2-1.0-224-tf2 |
Object Detection |
tf2 |
FP16 |
|||
mobilenet-v2-1.0-224-tf2 |
Object Detection |
tf2 |
FP16-INT8 |
|||
mobilenet-v2-1.0-224-tf2 |
Object Detection |
tf2 |
FP32 |
|||
mobilenet-v2-caffe |
Object Detection |
caffe |
FP16 |
|||
mobilenet-v2-caffe |
Object Detection |
caffe |
FP32 |
|||
mobilenet-v2-onnx |
Object Detection |
onnx |
FP16 |
|||
mobilenet-v2-onnx |
Object Detection |
onnx |
FP16-INT8 |
|||
mobilenet-v2-onnx |
Object Detection |
onnx |
FP32 |
|||
mobilenet-v2-paddle |
Object Detection |
paddle |
FP16 |
|||
mobilenet-v2-paddle |
Object Detection |
paddle |
FP16-INT8 |
|||
mobilenet-v2-paddle |
Object Detection |
paddle |
FP32 |
|||
mobilenetv3_large_100 |
Image Classification |
pytorch |
FP32 |
|||
mobilenet-v3-large-1.0-224-onnx |
Object Detection |
onnx |
FP16 |
|||
mobilenet-v3-large-1.0-224-onnx |
Object Detection |
onnx |
FP16-INT8 |
|||
mobilenet-v3-large-1.0-224-onnx |
Object Detection |
onnx |
FP32 |
|||
mobilenet-v3-large-1.0-224-paddle |
Object Detection |
paddle |
FP16 |
|||
mobilenet-v3-large-1.0-224-paddle |
Object Detection |
paddle |
FP16-INT8 |
|||
mobilenet-v3-large-1.0-224-paddle |
Object Detection |
paddle |
FP32 |
|||
mobilenet-v3-large-1.0-224-tf |
Object Detection |
tf |
FP16 |
|||
mobilenet-v3-large-1.0-224-tf |
Object Detection |
tf |
FP32 |
|||
mobilenet-v3-large-1.0-224-tf2 |
Object Detection |
tf2 |
FP16 |
|||
mobilenet-v3-large-1.0-224-tf2 |
Object Detection |
tf2 |
FP16-INT8 |
|||
mobilenet-v3-large-1.0-224-tf2 |
Object Detection |
tf2 |
FP32 |
|||
mobilenet-yolo-v4-syg |
Object Detection |
tf |
FP16-INT8 |
|||
mobilenet-yolo-v4-syg |
Object Detection |
tf |
FP32 |
|||
mobilevit_s |
Image Classification |
pytorch |
FP32 |
|||
mobilevit-xx-small |
Image Classification |
pytorch |
intel-optimum default |
|||
modnet_webcam_portrait_matting |
Background Matting |
onnx |
FP16-INT8 |
|||
mosaic-8_mosaic |
Vision Style Transfer |
onnx |
FP16 |
|||
mosaic-8_mosaic |
Vision Style Transfer |
onnx |
FP32 |
|||
mozilla-deepspeech-0.8.2 |
Speech Recognition |
tf |
FP16 |
|||
mozilla-deepspeech-0.8.2 |
Speech Recognition |
tf |
FP16-INT8 |
|||
mozilla-deepspeech-0.8.2 |
Speech Recognition |
tf |
FP32 |
|||
mpt-7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
mpt-7b-8k |
Large Language Model |
pytorch |
intel-optimum default |
|||
mpt-7b-8k-chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
mpt-7b-chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
mpt-7b-instruct |
Large Language Model |
pytorch |
intel-optimum default |
|||
mpt-7b-storywriter |
Large Language Model |
pytorch |
intel-optimum default |
|||
ms-marco-electra-base |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
mt5-base |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
mt5-large |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
mt5-small |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
mt5-tiny-random |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
neural-chat-7b-v1-1 |
Large Language Model |
pytorch |
intel-optimum default |
|||
neural-chat-7b-v3-3 |
Large Language Model |
pytorch |
intel-optimum default |
|||
nfnet_l0 |
Image Classification |
pytorch |
FP32 |
|||
ocrnet-hrnet-w18 |
Text Detection |
paddle |
FP16 |
|||
ocrnet-hrnet-w18 |
Text Detection |
paddle |
FP16-INT8 |
|||
ocrnet-hrnet-w18 |
Text Detection |
paddle |
FP32 |
|||
ocrnet-hrnet-w48 |
Text Detection |
paddle |
FP16 |
|||
ocrnet-hrnet-w48 |
Text Detection |
paddle |
FP32 |
|||
octave-resnext-101-0.25 |
Image Classification |
mxnet |
FP16 |
|||
octave-resnext-101-0.25 |
Image Classification |
mxnet |
FP32 |
|||
openchat-3.6-8b-20240522 |
Large Language Model |
pytorch |
intel-optimum default |
|||
open-closed-eye-0001 |
Image Classification |
onnx |
FP16 |
|||
open-closed-eye-0001 |
Image Classification |
onnx |
FP16-INT8 |
|||
open-closed-eye-0001 |
Image Classification |
onnx |
FP32 |
|||
opt-1.3b |
Large Language Model |
pytorch |
intel-optimum default |
|||
opt-125m |
Large Language Model |
pytorch |
intel-optimum default |
|||
opt-13b |
Large Language Model |
pytorch |
intel-optimum default |
|||
opt-2.7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
opt-350m |
Large Language Model |
pytorch |
intel-optimum default |
|||
opt-6.7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
opt-iml-1.3b |
Large Language Model |
pytorch |
intel-optimum default |
|||
pedestrian-detection-adas-0002 |
Object Detection |
caffe |
FP16 |
|||
pedestrian-detection-adas-0002 |
Object Detection |
caffe |
FP16-INT8 |
|||
pedestrian-detection-adas-0002 |
Object Detection |
caffe |
FP32 |
|||
Pegasus-7b-slerp |
Large Language Model |
pytorch |
intel-optimum default |
|||
pegasus-samsum |
Large Language Model |
pytorch |
intel-optimum default |
|||
persimmon-8b-chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
person-detection-0100 |
Object Detection |
onnx |
FP16 |
|||
person-detection-0101 |
Object Detection |
onnx |
FP16 |
|||
person-detection-0201 |
Object Detection |
onnx |
FP16 |
|||
person-detection-0201 |
Object Detection |
onnx |
FP32 |
|||
person-vehicle-bike-detection-crossroad-0078 |
Object Detection |
caffe |
FP16 |
|||
person-vehicle-bike-detection-crossroad-0078 |
Object Detection |
caffe |
FP16-INT8 |
|||
person-vehicle-bike-detection-crossroad-0078 |
Object Detection |
caffe |
FP32 |
|||
phi-2 |
Large Language Model |
pytorch |
intel-optimum default |
|||
Phi-3-medium-4k-instruct |
Large Language Model |
pytorch |
intel-optimum default |
|||
Phi-3-mini-128k-instruct |
Large Language Model |
pytorch |
intel-optimum default |
|||
pit_b_224 |
Image Classification |
pytorch |
FP32 |
|||
pix2struct-base |
Image-to-Text |
pytorch |
intel-optimum default |
|||
pix2struct-tiny-random |
Image-to-Text |
pytorch |
intel-optimum default |
|||
pnasnet5large |
Image Classification |
pytorch |
FP32 |
|||
pointilism-8_pointilism |
Vision Style Transfer |
onnx |
FP16 |
|||
pointilism-8_pointilism |
Vision Style Transfer |
onnx |
FP32 |
|||
Polish_RoBERTa_large_OPI |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
poolformer_m36 |
Image Classification |
pytorch |
FP32 |
|||
pp-ocr-det |
Object Detection |
paddle |
FP16 |
|||
pp-ocr-det |
Object Detection |
paddle |
FP16-INT8 |
|||
pp-ocr-det |
Object Detection |
paddle |
FP32 |
|||
pp-ocr-rec |
Object Detection |
paddle |
FP16 |
|||
pp-ocr-rec |
Object Detection |
paddle |
FP32 |
|||
pp-yolo |
Object Detection |
paddle |
FP16 |
|||
pp-yolo |
Object Detection |
paddle |
FP32 |
|||
prnet |
Object Detection |
tf |
FP16 |
|||
prnet |
Object Detection |
tf |
FP16-INT8 |
|||
prnet |
Object Detection |
tf |
FP32 |
|||
product-detection-0001 |
Object Detection |
onnx |
FP16 |
|||
product-detection-0001 |
Object Detection |
onnx |
FP16-INT8 |
|||
product-detection-0001 |
Object Detection |
onnx |
FP32 |
|||
pythia-1.4b |
Large Language Model |
pytorch |
intel-optimum default |
|||
pythia-12b |
Large Language Model |
pytorch |
intel-optimum default |
|||
pythia-14m |
Large Language Model |
pytorch |
intel-optimum default |
|||
pythia-160m |
Large Language Model |
pytorch |
intel-optimum default |
|||
pythia-1b |
Large Language Model |
pytorch |
intel-optimum default |
|||
pythia-2.8b |
Large Language Model |
pytorch |
intel-optimum default |
|||
pythia-410m |
Large Language Model |
pytorch |
intel-optimum default |
|||
pythia-6.9b |
Large Language Model |
pytorch |
intel-optimum default |
|||
pythia-70m |
Large Language Model |
pytorch |
intel-optimum default |
|||
Pythia-Chat-Base-7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
quartznet-15x5-en |
Speech Recognition |
onnx |
FP16 |
|||
quartznet-15x5-en |
Speech Recognition |
onnx |
FP16-INT8 |
|||
quartznet-15x5-en |
Speech Recognition |
onnx |
FP32 |
|||
Qwen1.5-0.5B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen1.5-0.5B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen1.5-1.8B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen1.5-1.8B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen1.5-4B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen1.5-4B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen1.5-7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen1.5-7B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen-1_8B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen-1_8B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen-7B |
Large Language Model |
pytorch |
intel-optimum default |
|||
Qwen-7B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
rain-princess-8_rain_princess |
Vision Style Transfer |
onnx |
FP16 |
|||
rain-princess-8_rain_princess |
Vision Style Transfer |
onnx |
FP32 |
|||
rcnn-ilsvrc13-7_model |
Image Classification |
onnx |
FP16 |
|||
rcnn-ilsvrc13-7_model |
Image Classification |
onnx |
FP32 |
|||
really-tiny-falcon-testing |
Large Language Model |
pytorch |
INT4 |
|||
RedPajama-INCITE-7B-Base |
Large Language Model |
pytorch |
intel-optimum default |
|||
RedPajama-INCITE-7B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
RedPajama-INCITE-7B-Instruct |
Large Language Model |
pytorch |
intel-optimum default |
|||
RedPajama-INCITE-Chat-3B-v1 |
Large Language Model |
pytorch |
intel-optimum default |
|||
regnety_002 |
Image Classification |
pytorch |
FP32 |
|||
repvgg_a2 |
Image Classification |
pytorch |
FP32 |
|||
res2net101_26w_4s |
Image Classification |
pytorch |
FP32 |
|||
res2net50_14w_8s |
Image Classification |
pytorch |
FP32 |
|||
res2next50 |
Image Classification |
pytorch |
FP32 |
|||
resmlp_12_224 |
Image Classification |
pytorch |
FP32 |
|||
resnest101e |
Image Classification |
pytorch |
FP32 |
|||
ResNet101-DUC-12 |
Object Detection |
onnx |
FP16 |
|||
ResNet101-DUC-12 |
Object Detection |
onnx |
FP32 |
|||
resnet101-v1-7 |
Image Classification |
onnx |
FP16 |
|||
resnet101-v1-7 |
Image Classification |
onnx |
FP32 |
|||
resnet101-v2-7 |
Image Classification |
onnx |
FP16 |
|||
resnet101-v2-7 |
Image Classification |
onnx |
FP32 |
|||
resnet152-v1-7 |
Image Classification |
onnx |
FP16 |
|||
resnet152-v1-7 |
Image Classification |
onnx |
FP32 |
|||
resnet152-v2-7 |
Image Classification |
onnx |
FP16 |
|||
resnet152-v2-7 |
Image Classification |
onnx |
FP32 |
|||
resnet-18 |
Image Classification |
onnx |
FP16 |
|||
resnet-18 |
Image Classification |
onnx |
FP16-INT8 |
|||
resnet-18 |
Image Classification |
onnx |
FP32 |
|||
resnet18-v1-7 |
Image Classification |
onnx |
FP16 |
|||
resnet18-v1-7 |
Image Classification |
onnx |
FP32 |
|||
resnet18-v2-7 |
Image Classification |
onnx |
FP16 |
|||
resnet18-v2-7 |
Image Classification |
onnx |
FP32 |
|||
resnet34-v1-7 |
Image Classification |
onnx |
FP16 |
|||
resnet34-v1-7 |
Image Classification |
onnx |
FP32 |
|||
resnet34-v2-7 |
Image Classification |
onnx |
FP16 |
|||
resnet34-v2-7 |
Image Classification |
onnx |
FP32 |
|||
resnet50-caffe2-v1-7_model |
Image Classification |
onnx |
FP16 |
|||
resnet50-caffe2-v1-7_model |
Image Classification |
onnx |
FP32 |
|||
resnet-50-onnx |
Image Classification |
onnx |
FP16 |
|||
resnet-50-onnx |
Image Classification |
onnx |
FP16-INT8 |
|||
resnet-50-onnx |
Image Classification |
onnx |
FP32 |
|||
resnet-50-paddle |
Image Classification |
paddle |
FP16 |
|||
resnet-50-paddle |
Image Classification |
paddle |
FP16-INT8 |
|||
resnet-50-paddle |
Image Classification |
paddle |
FP32 |
|||
resnet-50-pytorch |
Image Classification |
onnx |
FP16 |
|||
resnet-50-pytorch |
Image Classification |
onnx |
FP16-INT8 |
|||
resnet-50-pytorch |
Image Classification |
onnx |
FP32 |
|||
resnet-50-tf |
Image Classification |
tf |
FP16 |
|||
resnet-50-tf |
Image Classification |
tf |
FP16-INT8 |
|||
resnet-50-tf |
Image Classification |
tf |
FP32 |
|||
resnet50-v2-7 |
Image Classification |
onnx |
FP16 |
|||
resnet50-v2-7 |
Image Classification |
onnx |
FP32 |
|||
resnext101-32x16d-swsl |
Image Classification |
onnx |
FP16 |
|||
resnext101-32x16d-swsl |
Image Classification |
onnx |
FP16-INT8 |
|||
resnext101-32x16d-swsl |
Image Classification |
onnx |
FP32 |
|||
resnext-101-32x8d |
Image Classification |
onnx |
FP16 |
|||
resnext-101-32x8d |
Image Classification |
onnx |
FP32 |
|||
retinanet |
Image Classification |
tf2 |
FP16 |
|||
retinanet |
Image Classification |
tf2 |
FP32 |
|||
retinanet_resnet34 |
Image Classification |
onnx |
FP16 |
|||
retinanet_resnet34 |
Image Classification |
onnx |
FP16-INT8 |
|||
retinanet_resnet34 |
Image Classification |
onnx |
FP32 |
|||
retinanet-9_test_retinanet_resnet101 |
Object Detection |
onnx |
FP16 |
|||
retinanet-9_test_retinanet_resnet101 |
Object Detection |
onnx |
FP32 |
|||
rexnet_100 |
Image Classification |
pytorch |
FP32 |
|||
rnnt |
Speech Recognition |
onnx |
FP16 |
|||
rnnt |
Speech Recognition |
onnx |
FP32 |
|||
road-segmentation-adas-0001 |
Semantic Segmentation |
caffe |
FP16 |
|||
roberta-base |
Natural Language Processing |
onnx |
FP16 |
|||
roberta-base |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
roberta-base |
Natural Language Processing |
onnx |
FP32 |
|||
roberta-base-mrpc |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
roberta-base-mrpc |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
roberta-base-squad2 |
Large Language Model |
pytorch |
intel-optimum default |
|||
roberta-large |
Natural Language Processing |
onnx |
FP16 |
|||
roberta-large |
Natural Language Processing |
onnx |
FP32 |
|||
roberta-large-mnli |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
roberta-large-ner-english |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
roberta-large-squadv2 |
Large Language Model |
pytorch |
intel-optimum default |
|||
roformer_small_generator |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
sbert-base-mean-tokens |
Natural Language Processing |
onnx |
FP16 |
|||
sbert-base-mean-tokens |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
sbert-base-mean-tokens |
Natural Language Processing |
onnx |
FP32 |
|||
sebotnet33ts_256 |
Image Classification |
pytorch |
FP32 |
|||
selecsls42b |
Image Classification |
pytorch |
FP32 |
|||
semantic-segmentation-adas-0001 |
Semantic Segmentation |
caffe |
FP16 |
|||
semantic-segmentation-adas-0001 |
Semantic Segmentation |
caffe |
FP16-INT8 |
|||
semantic-segmentation-adas-0001 |
Semantic Segmentation |
caffe |
FP32 |
|||
se-resnet-50 |
Image Classification |
caffe |
FP16 |
|||
se-resnet-50 |
Image Classification |
caffe |
FP32 |
|||
se-resnext-101 |
Image Classification |
caffe |
FP16 |
|||
se-resnext-101 |
Image Classification |
caffe |
FP32 |
|||
se-resnext-50-caffe |
Image Classification |
caffe |
FP16 |
|||
se-resnext-50-caffe |
Image Classification |
caffe |
FP32 |
|||
se-resnext-50-onnx |
Image Classification |
onnx |
FP16 |
|||
se-resnext-50-onnx |
Image Classification |
onnx |
FP16-INT8 |
|||
se-resnext-50-onnx |
Image Classification |
onnx |
FP32 |
|||
se-resnext-50-tf |
Image Classification |
tf |
FP16 |
|||
se-resnext-50-tf |
Image Classification |
tf |
FP32 |
|||
sew-d-tiny-100k-ft-ls100h |
Speech Recognition |
pytorch |
intel-optimum default |
|||
Sharpen-LensBlur |
Image Processing, Enhancement |
tf |
FP16 |
|||
Sharpen-LensBlur |
Image Processing, Enhancement |
tf |
FP16-INT8 |
|||
Sharpen-LensBlur |
Image Processing, Enhancement |
tf |
FP32 |
|||
Sharpen-MotionBlur |
Image Processing, Enhancement |
tf |
FP16 |
|||
Sharpen-MotionBlur |
Image Processing, Enhancement |
tf |
FP16-INT8 |
|||
Sharpen-MotionBlur |
Image Processing, Enhancement |
tf |
FP32 |
|||
Sharpen-Sharpen |
Image Processing, Enhancement |
tf |
FP16 |
|||
Sharpen-Sharpen |
Image Processing, Enhancement |
tf |
FP16-INT8 |
|||
Sharpen-Sharpen |
Image Processing, Enhancement |
tf |
FP32 |
|||
shufflenet-7_model |
Image Classification |
onnx |
FP16 |
|||
shufflenet-7_model |
Image Classification |
onnx |
FP32 |
|||
shufflenet-v2-x1.0-onnx |
Image Classification |
onnx |
FP16 |
|||
shufflenet-v2-x1.0-onnx |
Image Classification |
onnx |
FP16-INT8 |
|||
shufflenet-v2-x1.0-onnx |
Image Classification |
onnx |
FP32 |
|||
shufflenet-v2-x1.0-tf |
Image Classification |
tf |
FP16 |
|||
shufflenet-v2-x1.0-tf |
Image Classification |
tf |
FP16-INT8 |
|||
shufflenet-v2-x1.0-tf |
Image Classification |
tf |
FP32 |
|||
single-image-super-resolution-1032 |
Image Processing, Enhancement |
onnx |
FP16 |
|||
Sphereface |
Image Classification |
caffe |
FP16 |
|||
Sphereface |
Image Classification |
caffe |
FP32 |
|||
spnasnet_100 |
Image Classification |
pytorch |
FP32 |
|||
squeezenet1.0-12 |
Image Classification |
onnx |
FP16 |
|||
squeezenet1.0-12 |
Image Classification |
onnx |
FP32 |
|||
squeezenet1.1-caffe |
Image Classification |
caffe |
FP16 |
|||
squeezenet1.1-caffe |
Image Classification |
caffe |
FP32 |
|||
squeezenet1.1-mxnet |
Image Classification |
mxnet |
FP16 |
|||
squeezenet1.1-mxnet |
Image Classification |
mxnet |
FP32 |
|||
squeezenet1.1-onnx |
Image Classification |
onnx |
FP32 |
|||
srgan-onnx |
Image Processing, Enhancement |
onnx |
FP16 |
|||
srgan-tf |
Image Processing, Enhancement |
tf |
FP16 |
|||
srgan-tf |
Image Processing, Enhancement |
tf |
FP16-INT8 |
|||
srgan-tf |
Image Processing, Enhancement |
tf |
FP32 |
|||
ssd_mobilenet_v1_10_ssd_mobilenet_v1 |
Object Detection |
onnx |
FP16 |
|||
ssd_mobilenet_v1_coco |
Object Detection |
tf |
FP16 |
|||
ssd_mobilenet_v1_coco |
Object Detection |
tf |
FP16-INT8 |
|||
ssd_mobilenet_v1_coco |
Object Detection |
tf |
FP32 |
|||
ssd-10 |
Object Detection |
onnx |
FP16 |
|||
ssd-10 |
Object Detection |
onnx |
FP32 |
|||
ssd300-onnx-0001 |
Object Detection |
onnx |
FP16 |
|||
ssd300-onnx-0001 |
Object Detection |
onnx |
FP16-INT8 |
|||
ssdlite_mobilenet_v2 |
Object Detection |
tf |
FP16 |
|||
ssdlite_mobilenet_v2 |
Object Detection |
tf |
FP16-INT8 |
|||
ssdlite_mobilenet_v2 |
Object Detection |
tf |
FP32 |
|||
ssdlite-mobilenet-v3-small-320-coco |
Object Detection |
paddle |
FP16 |
|||
ssdlite-mobilenet-v3-small-320-coco |
Object Detection |
paddle |
FP32 |
|||
ssd-resnet34-1200 |
Object Detection |
onnx |
FP16 |
|||
ssd-resnet34-1200 |
Object Detection |
onnx |
FP16-INT8 |
|||
ssd-resnet34-1200 |
Object Detection |
onnx |
FP32 |
|||
stable-diffusion-2-1 |
Image-to-Text & Text-to-Image |
pytorch |
intel-optimum default |
|||
stable-diffusion-v1-4 |
Image-to-Text & Text-to-Image |
pytorch |
intel-optimum default |
|||
stable-diffusion-v1-5 |
Image-to-Text & Text-to-Image |
pytorch |
intel-optimum default |
|||
stable-diffusion-xl-base-1.0 |
Image-to-Text & Text-to-Image |
pytorch |
intel-optimum default |
|||
stablelm-2-1_6b |
Large Language Model |
pytorch |
intel-optimum default |
|||
stablelm-2-1_6b-chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
stablelm-2-12b |
Large Language Model |
pytorch |
intel-optimum default |
|||
stablelm-2-12b-chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
stablelm-2-zephyr-1_6b |
Large Language Model |
pytorch |
intel-optimum default |
|||
stablelm-3b-4e1t |
Large Language Model |
pytorch |
intel-optimum default |
|||
stablelm-base-alpha-3b |
Large Language Model |
pytorch |
intel-optimum default |
|||
stablelm-tuned-alpha-7b |
Large Language Model |
pytorch |
intel-optimum default |
|||
stablelm-zephyr-3b |
Large Language Model |
pytorch |
intel-optimum default |
|||
stsb-bert-tiny-safetensors |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
style_transfer |
Image Processing |
onnx |
FP16 |
|||
style_transfer |
Image Processing |
onnx |
FP16-INT8 |
|||
style_transfer |
Image Processing |
onnx |
FP32 |
|||
stylegan2 |
Image Processing |
tf |
FP16 |
|||
stylegan2 |
Image Processing |
tf |
FP32 |
|||
super-resolution-10_super_resolution |
Image Manipulation |
onnx |
FP16 |
|||
super-resolution-10_super_resolution |
Image Manipulation |
onnx |
FP32 |
|||
sup-simcse-roberta-base |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
swin_base_patch4_window7_224 |
Image Classification |
pytorch |
FP32 |
|||
swin-tiny-patch4-window7-224 |
Image Classification |
onnx |
FP16 |
|||
swin-tiny-patch4-window7-224 |
Image Classification |
onnx |
FP16-INT8 |
|||
swin-tiny-patch4-window7-224 |
Image Classification |
onnx |
FP32 |
|||
swsl_resnext101_32x16d |
Image Classification |
pytorch |
FP32 |
|||
t2t-vit-7 |
Image Classification |
onnx |
FP16 |
|||
t2t-vit-7 |
Image Classification |
onnx |
FP16-INT8 |
|||
t2t-vit-7 |
Image Classification |
onnx |
FP32 |
|||
t5-base |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
t5-decoder-with-lm-head-12_t5-decoder-with-lm-head |
Natural Language Processing |
onnx |
FP16 |
|||
t5-decoder-with-lm-head-12_t5-decoder-with-lm-head |
Natural Language Processing |
onnx |
FP32 |
|||
t5-encoder-12_t5-encoder |
Natural Language Processing |
onnx |
FP16 |
|||
t5-encoder-12_t5-encoder |
Natural Language Processing |
onnx |
FP32 |
|||
t5-large |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
t5-small |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tedlium_dnn4_smbr |
Speech Recognition |
kaldi |
FP16 |
|||
tedlium_dnn4_smbr |
Speech Recognition |
kaldi |
FP16-INT8 |
|||
tedlium_dnn4_smbr |
Speech Recognition |
kaldi |
FP32 |
|||
text-image-super-resolution-0001 |
Image Processing, Enhancement |
onnx |
FP16 |
|||
text-image-super-resolution-0001 |
Image Processing, Enhancement |
onnx |
FP16-INT8 |
|||
text-image-super-resolution-0001 |
Image Processing, Enhancement |
onnx |
FP32 |
|||
text-recognition-0012 |
Text Detection |
tf |
FP16 |
|||
text-recognition-0012 |
Text Detection |
tf |
FP32 |
|||
text-recognition-0013 |
Text Detection |
onnx |
FP16 |
|||
text-recognition-0013 |
Text Detection |
onnx |
FP32 |
|||
text-recognition-0014 |
Text Detection |
onnx |
FP16 |
|||
text-recognition-0014 |
Text Detection |
onnx |
FP16-INT8 |
|||
text-recognition-0014 |
Text Detection |
onnx |
FP32 |
|||
text-to-speech-en-multi-0001 |
Text-to-Speech |
null |
FP32 |
|||
tf_efficientnet_b0 |
Image Classification |
pytorch |
FP32 |
|||
tf_mixnet_l |
Image Classification |
pytorch |
FP32 |
|||
tiny_yolo_v2 |
Object Detection |
onnx |
FP16 |
|||
tiny_yolo_v2 |
Object Detection |
onnx |
FP32 |
|||
tinybert_6layer_768dim_cola |
Natural Language Processing |
onnx |
FP16 |
|||
tinybert_6layer_768dim_cola |
Natural Language Processing |
onnx |
FP16-INT8 |
|||
tinybert_6layer_768dim_cola |
Natural Language Processing |
onnx |
FP32 |
|||
tiny-doc-qa-vision-encoder-decoder |
Image-to-Text |
pytorch |
intel-optimum default |
|||
tiny-llama-fast-tokenizer |
Large Language Model |
pytorch |
INT4 |
|||
tiny-marian-en-de |
Large Language Model |
pytorch |
INT4 |
|||
tiny-mixtral |
Large Language Model |
pytorch |
INT4 |
|||
tinynet_a |
Image Classification |
pytorch |
FP32 |
|||
tiny-random-albert |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-aquila2 |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-aquilachat |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-baichuan2 |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-baichuan2-13b |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-bart |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-BeitForImageClassification |
Image Classification |
pytorch |
intel-optimum default |
|||
tiny-random-bert |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-BlenderbotModel |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-BloomModel |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-chatglm2 |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-codegen2 |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-CodeGenForCausalLM |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-CohereForCausalLM |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-ConvBertForSequenceClassification |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-convnext |
Image Classification |
pytorch |
intel-optimum default |
|||
tiny-random-Data2VecAudioModel |
Speech Recognition |
pytorch |
intel-optimum default |
|||
tiny-random-dbrx |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-deberta |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-distilbert |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-electra |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-falcon-40b |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-flaubert |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-GemmaForCausalLM |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-gpt2 |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-GPTNeoModel |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-GPTNeoXForCausalLM |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-HubertModel |
Speech Recognition |
pytorch |
intel-optimum default |
|||
tiny-random-ibert |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-internlm |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-internlm2 |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-latent-consistency |
Text-to-Image |
pytorch |
intel-optimum default |
|||
tiny-random-LevitModel |
Image Classification |
pytorch |
intel-optimum default |
|||
tiny-random-m2m_100 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-mbart |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-minicpm |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-mistral |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-MobileNetV2Model |
Image Classification |
pytorch |
intel-optimum default |
|||
tiny-random-mobilevit |
Image Classification |
pytorch |
intel-optimum default |
|||
tiny-random-MptForCausalLM |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-olmo-hf |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-OPTModel |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-orion |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-pegasus |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-PersimmonForCausalLM |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-phi3 |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-PhiForCausalLM |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-qwen |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-qwen1.5-moe |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-resnet |
Image Classification |
pytorch |
intel-optimum default |
|||
tiny-random-roberta |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-roformer |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-SEWModel |
Speech Recognition |
pytorch |
intel-optimum default |
|||
tiny-random-squeezebert |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-stable-diffusion-xl |
Text-to-Image |
pytorch |
intel-optimum default |
|||
tiny-random-stable-diffusion-xl-refiner |
Text-to-Image |
pytorch |
intel-optimum default |
|||
tiny-random-StableLmForCausalLM |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-Starcoder2ForCausalLM |
Large Language Model |
pytorch |
INT4 |
|||
tiny-random-t5 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-unispeech |
Audio Classification |
pytorch |
intel-optimum default |
|||
tiny-random-UnispeechSatModel |
Speech Recognition |
pytorch |
intel-optimum default |
|||
tiny-random-VisionEncoderDecoderModel-vit-gpt2 |
Image-to-Text |
pytorch |
intel-optimum default |
|||
tiny-random-vit |
Image Classification |
pytorch |
intel-optimum default |
|||
tiny-random-wav2vec2-conformer |
Speech Recognition |
pytorch |
intel-optimum default |
|||
tiny-random-Wav2Vec2Model |
Speech Recognition |
pytorch |
intel-optimum default |
|||
tiny-random-WavlmModel |
Speech Recognition |
pytorch |
intel-optimum default |
|||
tiny-random-xlm |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiny-random-xverse |
Large Language Model |
pytorch |
INT4 |
|||
tiny-stable-diffusion-torch |
Text-to-Image |
pytorch |
intel-optimum default |
|||
tiny-xlm-roberta |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
tiramisu-fc-densenet-103 |
Object Detection |
tf2 |
FP16 |
|||
tiramisu-fc-densenet-103 |
Object Detection |
tf2 |
FP16-INT8 |
|||
tiramisu-fc-densenet-103 |
Object Detection |
tf2 |
FP32 |
|||
tnt_s_patch16_224 |
Image Classification |
pytorch |
FP32 |
|||
topaz_video_super_resolution |
Image Processing, Enhancement |
tf |
FP16 |
|||
topaz_video_super_resolution |
Image Processing, Enhancement |
tf |
FP32 |
|||
trocr-base-handwritten |
Image-to-Text |
pytorch |
intel-optimum default |
|||
trocr-small-handwritten |
Image-to-Text |
pytorch |
intel-optimum default |
|||
twins_pcpvt_base |
Image Classification |
pytorch |
FP32 |
|||
twitter-roberta-base-sentiment-latest |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
udnie-8_udnie |
Neural Style Transfer |
onnx |
FP16 |
|||
udnie-8_udnie |
Neural Style Transfer |
onnx |
FP32 |
|||
ultra-lightweight-face-detection-rfb-320 |
Object Detection |
onnx |
FP16 |
|||
ultra-lightweight-face-detection-slim-320 |
Object Detection |
onnx |
FP16 |
|||
unet-2d |
Semantic Segmentation |
onnx |
FP16 |
|||
unet3d_mlperf-onnx |
Semantic Segmentation |
onnx |
FP16 |
|||
unet3d_mlperf-onnx |
Semantic Segmentation |
onnx |
FP16-INT8 |
|||
unet3d_mlperf-onnx |
Semantic Segmentation |
onnx |
FP32 |
|||
unet3d_mlperf-tf |
Semantic Segmentation |
tf |
FP16 |
|||
unet3d_mlperf-tf |
Semantic Segmentation |
tf |
FP16-INT8 |
|||
unet-camvid-onnx-0001 |
Semantic Segmentation |
onnx |
FP16 |
|||
unet-camvid-onnx-0001 |
Semantic Segmentation |
onnx |
FP16-INT8 |
|||
unet-camvid-onnx-0001 |
Semantic Segmentation |
onnx |
FP32 |
|||
unispeech-1350-en-90-it-ft-1h |
Speech Recognition |
pytorch |
intel-optimum default |
|||
unispeech-sat-base-plus-sd |
Audio |
pytorch |
intel-optimum default |
|||
unispeech-sat-base-sv |
Audio |
pytorch |
intel-optimum default |
|||
unispeech-sat-large-sv |
Audio |
pytorch |
intel-optimum default |
|||
urlnet |
URL Classification |
tf2 |
FP16 |
|||
urlnet |
URL Classification |
tf2 |
FP32 |
|||
vehicle-detection-adas-0002 |
Object Detection |
caffe |
FP16 |
|||
version-RFB-320 |
Object Detection |
onnx |
FP16 |
|||
version-RFB-320 |
Object Detection |
onnx |
FP32 |
|||
version-RFB-640 |
Object Detection |
onnx |
FP16 |
|||
version-RFB-640 |
Object Detection |
onnx |
FP32 |
|||
vgg16-12 |
Image Classification |
onnx |
FP16 |
|||
vgg16-12 |
Image Classification |
onnx |
FP32 |
|||
vgg19-7_vgg19 |
Image Classification |
onnx |
FP16 |
|||
vgg19-7_vgg19 |
Image Classification |
onnx |
FP32 |
|||
vgg19-caffe2-7_model |
Image Classification |
onnx |
FP16 |
|||
vgg19-caffe2-7_model |
Image Classification |
onnx |
FP32 |
|||
visformer_small |
Image Classification |
pytorch |
FP32 |
|||
vit_base_patch16_224 |
Image Feature Extraction |
pytorch |
FP32 |
|||
vitstr-small-patch16-224 |
Text Detection |
onnx |
FP16 |
|||
vitstr-small-patch16-224 |
Text Detection |
onnx |
FP32 |
|||
vit-with-attentions |
Image Classification |
pytorch |
intel-optimum default |
|||
vit-with-hidden_states |
Image Classification |
pytorch |
intel-optimum default |
|||
volo_d1_224 |
Image Classification |
pytorch |
FP32 |
|||
wav2vec2-base |
Speech Recognition |
onnx |
FP16 |
|||
wav2vec2-base |
Speech Recognition |
onnx |
FP16-INT8 |
|||
wav2vec2-base |
Speech Recognition |
onnx |
FP32 |
|||
wav2vec2-base-superb-sd |
Audio Classification |
pytorch |
intel-optimum default |
|||
wav2vec2-base-superb-sid |
Audio Classification |
pytorch |
intel-optimum default |
|||
wav2vec2-base-superb-sv |
Audio |
pytorch |
intel-optimum default |
|||
wav2vec2-random-tiny-classifier |
Audio Classification |
pytorch |
intel-optimum default |
|||
wavernn-rnn |
Text-to-Speech |
onnx |
FP16 |
|||
wavernn-rnn |
Text-to-Speech |
onnx |
FP32 |
|||
wavernn-upsampler |
Text-to-Speech |
onnx |
FP16 |
|||
wavernn-upsampler |
Text-to-Speech |
onnx |
FP32 |
|||
wdsr-small-x4 |
Image Processing, Enhancement |
onnx |
FP16 |
|||
wdsr-small-x4 |
Image Processing, Enhancement |
onnx |
FP16-INT8 |
|||
wdsr-small-x4 |
Image Processing, Enhancement |
onnx |
FP32 |
|||
weld-porosity-detection-0001 |
Image Classification |
onnx |
FP16 |
|||
weld-porosity-detection-0001 |
Image Classification |
onnx |
FP32 |
|||
whisper-base |
Speech Reognition |
pytorch |
intel-optimum default |
|||
whisper-large-v2 |
Speech Reognition |
pytorch |
intel-optimum default |
|||
whisper-medium |
Speech Reognition |
pytorch |
intel-optimum default |
|||
whisper-small |
Speech Reognition |
pytorch |
intel-optimum default |
|||
whisper-tiny.en |
Speech Recognition |
pytorch |
intel-optimum default |
|||
WizardMath-7B-V1.1 |
Large Language Model |
pytorch |
intel-optimum default |
|||
xcit_large_24_p8_224 |
Image Classification |
pytorch |
FP32 |
|||
xlm-clm-ende-1024 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
xlm-roberta-base |
Natural Language Processing |
onnx |
FP16 |
|||
xlm-roberta-base |
Natural Language Processing |
onnx |
FP32 |
|||
xlm-roberta-base-language-detection |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
xlm-roberta-base-uncased-conll2003 |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
xlm-roberta-large |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
xlm-roberta-large-en-ru-mnli |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
xlm-roberta-large-finetuned-conll03-english |
Natural Language Processing |
pytorch |
intel-optimum default |
|||
XVERSE-7B-Chat |
Large Language Model |
pytorch |
intel-optimum default |
|||
yolo_v3_tiny |
Object Detection |
onnx |
FP16 |
|||
yolo_v3_tiny-onnx |
Object Detection |
onnx |
FP16 |
|||
yolo_v3_tiny-onnx |
Object Detection |
onnx |
FP16-INT8 |
|||
yolo_v3_tiny-onnx |
Object Detection |
onnx |
FP32 |
|||
yolo_v3_tiny-tf |
Object Detection |
tf |
FP16 |
|||
yolo_v3_tiny-tf |
Object Detection |
tf |
FP16-INT8 |
|||
yolo_v3_tiny-tf |
Object Detection |
tf |
FP32 |
|||
yolo_v3-onnx |
Object Detection |
onnx |
FP16 |
|||
yolo_v3-onnx |
Object Detection |
onnx |
FP16 |
|||
yolo_v4-tf |
Object Detection |
tf |
FP16 |
|||
yolo_v4-tf |
Object Detection |
tf |
FP16-INT8 |
|||
yolo_v4-tf |
Object Detection |
tf |
FP32 |
|||
yolo_v4-tf2 |
Object Detection |
tf2 |
FP16 |
|||
yolo_v4-tf2 |
Object Detection |
tf2 |
FP16-INT8 |
|||
yolo_v5l |
Object Detection |
onnx |
FP16 |
|||
yolo_v5l |
Object Detection |
onnx |
FP16-INT8 |
|||
yolo_v5l |
Object Detection |
onnx |
FP32 |
|||
yolo_v5m |
Object Detection |
onnx |
FP16 |
|||
yolo_v5m |
Object Detection |
onnx |
FP16-INT8 |
|||
yolo_v5m |
Object Detection |
onnx |
FP32 |
|||
yolo_v5m-v6 |
Object Detection |
onnx |
FP16 |
|||
yolo_v5m-v6 |
Object Detection |
onnx |
FP16-INT8 |
|||
yolo_v5m-v6 |
Object Detection |
onnx |
FP32 |
|||
yolo_v5s |
Object Detection |
onnx |
FP16 |
|||
yolo_v5s |
Object Detection |
onnx |
FP16-INT8 |
|||
yolo_v5s |
Object Detection |
onnx |
FP32 |
|||
yolo_v5s-v6 |
Object Detection |
onnx |
FP16 |
|||
yolo_v5s-v6 |
Object Detection |
onnx |
FP16-INT8 |
|||
yolo_v5s-v6 |
Object Detection |
onnx |
FP32 |
|||
yolo_v5x |
Object Detection |
onnx |
FP16 |
|||
yolo_v5x |
Object Detection |
onnx |
FP32 |
|||
yolo_v8n |
Object Detection |
onnx |
FP16 |
|||
yolo_v8n |
Object Detection |
onnx |
FP16-INT8 |
|||
yolo_v8n |
Object Detection |
onnx |
FP32 |
|||
yolof |
Object Detection |
onnx |
FP16 |
|||
yolof |
Object Detection |
onnx |
FP16-INT8 |
|||
yolof |
Object Detection |
onnx |
FP32 |
|||
yolor_p6 |
Object Detection |
onnx |
FP16 |
|||
yolor_p6 |
Object Detection |
onnx |
FP16-INT8 |
|||
yolor_p6 |
Object Detection |
onnx |
FP32 |
|||
yolo-v2-ava-0001 |
Object Detection |
tf |
FP16 |
|||
yolo-v2-ava-0001 |
Object Detection |
tf |
FP16-INT8 |
|||
yolo-v2-ava-0001 |
Object Detection |
tf |
FP32 |
|||
yolo-v2-ava-sparse-70-0001 |
Object Detection |
tf |
FP16 |
|||
yolo-v2-ava-sparse-70-0001 |
Object Detection |
tf |
FP16-INT8 |
|||
yolo-v2-ava-sparse-70-0001 |
Object Detection |
tf |
FP32 |
|||
yolov2-coco-9 |
Object Detection |
onnx |
FP16 |
|||
yolov2-coco-9 |
Object Detection |
onnx |
FP32 |
|||
yolo-v3-caffe |
Object Detection |
caffe |
FP16 |
|||
yolo-v3-caffe |
Object Detection |
caffe |
FP32 |
|||
yolo-v3-tf |
Object Detection |
tf |
FP16 |
|||
yolo-v3-tf |
Object Detection |
tf |
FP32 |
|||
yolov4 |
Object Detection |
onnx |
FP16 |
|||
yolov4 |
Object Detection |
onnx |
FP32 |
|||
zephyr-7b-beta |
Large Language Model |
pytorch |
intel-optimum default |
|||
zfnet512-12 |
Image Classification |
onnx |
FP16 |
|||
zfnet512-12 |
Image Classification |
onnx |
FP32 |