Supported Devices

The OpenVINO Runtime can infer models in different formats with various input and output formats. This section provides supported and optimal configurations per device. In OpenVINO™ documentation, “device” refers to an Intel® processors used for inference, which can be a supported CPU, GPU, VPU (vision processing unit), or GNA (Gaussian neural accelerator coprocessor), or a combination of those devices.

Note

With OpenVINO™ 2020.4 release, Intel® Movidius™ Neural Compute Stick support has been cancelled.

The OpenVINO Runtime provides unique capabilities to infer deep learning models on the following device types with corresponding plugins:

Plugin

Device types

GPU plugin

Intel Processor Graphics, including Intel HD Graphics and Intel Iris Graphics

CPU plugin

Intel Xeon with Intel® Advanced Vector Extensions 2 (Intel® AVX2), Intel® Advanced Vector Extensions 512 (Intel® AVX-512), and AVX512_BF16, Intel Core Processors with Intel AVX2, Intel Atom Processors with Intel® Streaming SIMD Extensions (Intel® SSE)

VPU plugins (available in the Intel® Distribution of OpenVINO™ toolkit)

Intel® Neural Compute Stick 2 powered by the Intel® Movidius™ Myriad™ X, Intel® Vision Accelerator Design with Intel® Movidius™ VPUs

GNA plugin (available in the Intel® Distribution of OpenVINO™ toolkit)

Intel Speech Enabling Developer Kit, Amazon Alexa* Premium Far-Field Developer Kit, Intel Pentium Silver J5005 Processor, Intel Pentium Silver N5000 Processor, Intel Celeron J4005 Processor, Intel Celeron J4105 Processor, Intel Celeron Processor N4100, Intel Celeron Processor N4000, Intel Core i3-8121U Processor, Intel Core i7-1065G7 Processor, Intel Core i7-1060G7 Processor, Intel Core i5-1035G4 Processor, Intel Core i5-1035G7 Processor, Intel Core i5-1035G1 Processor, Intel Core i5-1030G7 Processor, Intel Core i5-1030G4 Processor, Intel Core i3-1005G1 Processor, Intel Core i3-1000G1 Processor, Intel Core i3-1000G4 Processor

Arm® CPU plugin (unavailable in the Intel® Distribution of OpenVINO™ toolkit)

Raspberry Pi™ 4 Model B, Apple® Mac mini with M1 chip, NVIDIA® Jetson Nano™, Android™ devices

Multi-Device execution

Multi-Device execution enables simultaneous inference of the same model on several devices in parallel

Auto-Device plugin

Auto-Device plugin enables selecting Intel device for inference automatically

Heterogeneous plugin

Heterogeneous execution enables automatic inference splitting between several devices (for example if a device doesn’t support certain operation ).

Note

ARM® CPU plugin is a community-level add-on to OpenVINO™. Intel® welcomes community participation in the OpenVINO™ ecosystem, technical questions and code contributions on community forums. However, this component has not undergone full release validation or qualification from Intel®, hence no official support is offered.

Devices similar to the ones we have used for benchmarking can be accessed using Intel® DevCloud for the Edge, a remote development environment with access to Intel® hardware and the latest versions of the Intel® Distribution of the OpenVINO™ Toolkit. Learn more or Register here.

Supported Configurations

The OpenVINO Runtime can inference models in different formats with various input and output formats. This page shows supported and optimal configurations for each plugin.

Terminology

Acronym/Term

Description

FP32 format

Single-precision floating-point format

BF16 format

Brain floating-point format

FP16 format

Half-precision floating-point format

I16 format

2-byte signed integer format

I8 format

1-byte signed integer format

U16 format

2-byte unsigned integer format

U8 format

1-byte unsigned integer format

NHWC, NCHW, and NCDHW refer to the data ordering in batches of images:

  • NHWC and NCHW refer to image data layout.

  • NCDHW refers to image sequence data layout.

Abbreviations in the support tables are as follows:

  • N: Number of images in a batch

  • D: Depth. Depend on model it could be spatial or time dimension

  • H: Number of pixels in the vertical dimension

  • W: Number of pixels in the horizontal dimension

  • C: Number of channels

CHW, NC, C - Tensor memory layout. For example, the CHW value at index (c,h,w) is physically located at index (c*H+h)*W+w, for others by analogy.

Supported Model Formats

Plugin

FP32

FP16

I8

CPU plugin

Supported and preferred

Supported

Supported

GPU plugin

Supported

Supported and preferred

Supported

VPU plugins

Not supported

Supported

Not supported

GNA plugin

Supported

Supported

Not supported

Arm® CPU plugin

Supported and preferred

Supported

Supported (partially)

For Multi-Device and Heterogeneous executions the supported models formats depends on the actual underlying devices. Generally, FP16 is preferable as it is most ubiquitous and performant.

Supported Input Precision

Plugin

FP32

FP16

U8

U16

I8

I16

CPU plugin

Supported

Supported

Supported

Supported

Supported

Supported

GPU plugin

Supported

Supported*

Supported*

Supported*

Not supported

Supported*

VPU plugins

Supported

Supported

Supported

Not supported

Not supported

Not supported

GNA plugin

Supported

Not supported

Supported

Not supported

Supported

Supported

Arm® CPU plugin

Supported

Supported

Supported

Supported

Not supported

Not supported

* - Supported via SetBlob only, GetBlob returns FP32

For Multi-Device and Heterogeneous executions the supported input precision depends on the actual underlying devices. Generally, U8 is preferable as it is most ubiquitous.

Supported Output Precision

Plugin

FP32

FP16

CPU plugin

Supported

Supported

GPU plugin

Supported

Supported

VPU plugins

Supported

Supported

GNA plugin

Supported

Not supported

Arm® CPU plugin

Supported

Supported

For Multi-Device and Heterogeneous executions the supported output precision depends on the actual underlying devices. Generally, FP32 is preferable as it is most ubiquitous.

Supported Input Layout

Plugin

NCDHW

NCHW

NHWC

NC

CPU plugin

Supported

Supported

Supported

Supported

GPU plugin

Supported

Supported

Supported

Supported

VPU plugins

Supported

Supported

Supported

Supported

GNA plugin

Not supported

Supported

Supported

Supported

Arm® CPU plugin

Not supported

Supported

Supported

Supported

Supported Output Layout

Number of dimensions

5

4

3

2

1

Layout

NCDHW

NCHW

CHW

NC

C

For setting relevant configuration, refer to the Integrate with Customer Application topic (step 3 “Configure input and output”).

Supported Layers

The following layers are supported by the plugins:

Layers

GPU

CPU

VPU

GNA

Arm® CPU

Abs

Supported

Supported**

Supported

Not Supported

Supported

Acos

Supported

Supported**

Not Supported

Not Supported

Supported****

Acosh

Supported

Supported**

Not Supported

Not Supported

Supported****

Activation-Clamp

Supported

Supported***

Supported

Supported

Supported

Activation-ELU

Supported

Supported***

Supported

Not Supported

Supported

Activation-Exp

Supported

Supported***

Supported

Supported

Supported

Activation-Leaky ReLU

Supported

Supported***

Supported

Supported

Not Supported

Activation-Not

Supported

Supported***

Supported

Not Supported

Not Supported

Activation-PReLU

Supported

Supported***

Supported

Not Supported

Supported

Activation-ReLU

Supported

Supported***

Supported

Supported

Supported

Activation-ReLU6

Supported

Supported***

Supported

Not Supported

Not Supported

Activation-Sigmoid/Logistic

Supported

Supported***

Supported

Supported

Supported

Activation-TanH

Supported

Supported***

Supported

Supported

Supported

ArgMax

Supported

Supported**

Supported

Not Supported

Not Supported

Asin

Supported

Supported**

Not Supported

Not Supported

Supported****

Asinh

Supported

Supported**

Not Supported

Not Supported

Supported****

Atan

Supported

Supported**

Not Supported

Not Supported

Supported****

Atanh

Supported

Supported**

Not Supported

Not Supported

Supported****

BatchNormalization

Supported

Supported

Supported

Not Supported

Supported

BinaryConvolution

Supported

Supported

Not Supported

Not Supported

Not Supported

Broadcast

Supported

Supported**

Supported

Not Supported

Supported

Ceil

Supported

Supported**

Supported

Not Supported

Supported

Concat

Supported

Supported***

Supported

Supported

Supported

Const

Supported

Supported

Supported

Supported

Supported

Convolution-Dilated

Supported

Supported

Supported

Not Supported

Supported

Convolution-Dilated 3D

Supported

Supported

Not Supported

Not Supported

Not Supported

Convolution-Grouped

Supported

Supported

Supported

Not Supported

Supported

Convolution-Grouped 3D

Supported

Supported

Not Supported

Not Supported

Not Supported

Convolution-Ordinary

Supported

Supported

Supported

Supported*

Supported

Convolution-Ordinary 3D

Supported

Supported

Not Supported

Not Supported

Not Supported

Cos

Supported

Supported**

Not Supported

Not Supported

Supported****

Cosh

Supported

Supported**

Not Supported

Not Supported

Supported****

Crop

Supported

Supported

Supported

Supported

Not Supported

CTCGreedyDecoder

Supported**

Supported**

Supported*

Not Supported

Supported****

Deconvolution

Supported

Supported

Supported

Not Supported

Not Supported

Deconvolution 3D

Supported

Supported

Not Supported

Not Supported

Not Supported

DeformableConvolution

Supported

Supported

Not Supported

Not Supported

Not Supported

DepthToSpace

Supported

Supported**

Not Supported

Not Supported

Supported*

DetectionOutput

Supported

Supported**

Supported*

Not Supported

Supported****

Eltwise-And

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-Add

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-Div

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-Equal

Supported

Supported***

Supported

Not Supported

Supported*

Eltwise-FloorMod

Supported

Supported***

Supported

Not Supported

Supported****

Eltwise-Greater

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-GreaterEqual

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-Less

Supported

Supported***

Supported

Not Supported

Supported*

Eltwise-LessEqual

Supported

Supported***

Supported

Not Supported

Supported*

Eltwise-LogicalAnd

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-LogicalOr

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-LogicalXor

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-Max

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-Min

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-Mul

Supported

Supported***

Supported

Supported

Supported

Eltwise-NotEqual

Supported

Supported***

Supported

Not Supported

Supported*

Eltwise-Pow

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-Prod

Supported

Supported***

Supported

Supported

Not Supported

Eltwise-SquaredDiff

Supported

Supported***

Supported

Not Supported

Supported

Eltwise-Sub

Supported

Supported***

Supported

Supported

Supported

Eltwise-Sum

Supported

Supported***

Supported

Supported

Supported****

Erf

Supported

Supported**

Supported

Not Supported

Supported****

Exp

Supported

Supported

Supported

Supported

Supported

FakeQuantize

Not Supported

Supported

Not Supported

Not Supported

Supported*

Fill

Not Supported

Supported**

Not Supported

Not Supported

Not Supported

Flatten

Supported

Supported

Supported

Not Supported

Not Supported

Floor

Supported

Supported**

Supported

Not Supported

Supported

FullyConnected (Inner Product)

Supported

Supported***

Supported

Supported

Supported

Gather

Supported

Supported**

Supported

Not Supported

Supported*

GatherTree

Not Supported

Supported**

Not Supported

Not Supported

Supported****

Gemm

Supported

Supported

Supported

Not Supported

Not Supported

GRN

Supported**

Supported**

Supported

Not Supported

Supported

HardSigmoid

Supported

Supported**

Not Supported

Not Supported

Supported****

Interp

Supported**

Supported**

Supported

Not Supported

Supported*

Log

Supported

Supported**

Supported

Supported

Supported

LRN (Norm)

Supported

Supported

Supported

Not Supported

Supported*

LSTMCell

Supported

Supported

Supported

Supported

Supported

GRUCell

Supported

Supported

Not Supported

Supported

Supported

RNNCell

Supported

Supported

Not Supported

Not Supported

Supported

LSTMSequence

Supported

Supported

Supported

Supported

Supported****

GRUSequence

Supported

Supported

Not Supported

Supported

Supported****

RNNSequence

Supported

Supported

Not Supported

Not Supported

Supported****

LogSoftmax

Supported

Supported**

Not Supported

Not Supported

Supported

Memory

Not Supported

Supported

Not Supported

Supported

Not Supported

MVN

Supported

Supported**

Supported*

Not Supported

Supported*

Neg

Supported

Supported**

Not Supported

Not Supported

Supported

NonMaxSuppression

Not Supported

Supported**

Supported

Not Supported

Supported****

Normalize

Supported

Supported**

Supported*

Not Supported

Supported*

OneHot

Supported

Supported**

Supported

Not Supported

Supported****

Pad

Supported

Supported**

Supported*

Not Supported

Supported*

Permute

Supported

Supported

Supported

Supported*

Not Supported

Pooling(AVG,MAX)

Supported

Supported

Supported

Supported

Supported

Pooling(AVG,MAX) 3D

Supported

Supported

Not Supported

Not Supported

Supported*

Power

Supported

Supported**

Supported

Supported*

Supported

PowerFile

Not Supported

Supported**

Not Supported

Not Supported

Not Supported

PriorBox

Supported

Supported**

Supported

Not Supported

Supported

PriorBoxClustered

Supported**

Supported**

Supported

Not Supported

Supported

Proposal

Supported

Supported**

Supported

Not Supported

Supported****

PSROIPooling

Supported

Supported**

Supported

Not Supported

Supported****

Range

Not Supported

Supported**

Not Supported

Not Supported

Not Supported

Reciprocal

Supported

Supported**

Not Supported

Not Supported

Not Supported

ReduceAnd

Supported

Supported**

Supported

Not Supported

Supported****

ReduceL1

Supported

Supported**

Not Supported

Not Supported

Supported

ReduceL2

Supported

Supported**

Not Supported

Not Supported

Supported

ReduceLogSum

Supported

Supported**

Not Supported

Not Supported

Supported

ReduceLogSumExp

Supported

Supported**

Not Supported

Not Supported

Not Supported

ReduceMax

Supported

Supported**

Supported

Not Supported

Supported

ReduceMean

Supported

Supported**

Supported

Not Supported

Supported

ReduceMin

Supported

Supported**

Supported

Not Supported

Supported

ReduceOr

Supported

Supported**

Not Supported

Not Supported

Supported****

ReduceProd

Supported

Supported**

Not Supported

Not Supported

Supported

ReduceSum

Supported

Supported**

Supported

Not Supported

Supported

ReduceSumSquare

Supported

Supported**

Not Supported

Not Supported

Not Supported

RegionYolo

Supported

Supported**

Supported

Not Supported

Supported****

ReorgYolo

Supported

Supported**

Supported

Not Supported

Supported

Resample

Supported

Supported**

Supported

Not Supported

Not Supported

Reshape

Supported

Supported***

Supported

Supported

Supported

ReverseSequence

Supported

Supported**

Supported

Not Supported

Supported****

RNN

Not Supported

Supported

Supported

Not Supported

Supported

ROIPooling

Supported*

Supported

Supported

Not Supported

Supported****

ScaleShift

Supported

Supported***

Supported*

Supported

Not Supported

ScatterUpdate

Not Supported

Supported**

Supported

Not Supported

Not Supported

Select

Supported

Supported

Supported

Not Supported

Supported

Selu

Supported

Supported**

Not Supported

Not Supported

Supported****

ShuffleChannels

Supported

Supported**

Not Supported

Not Supported

Supported

Sign

Supported

Supported**

Supported

Not Supported

Supported

Sin

Supported

Supported**

Not Supported

Not Supported

Supported

Sinh

Supported

Supported**

Not Supported

Not Supported

Supported****

SimplerNMS

Supported

Supported**

Not Supported

Not Supported

Not Supported

Slice

Supported

Supported***

Supported

Supported

Not Supported

SoftMax

Supported

Supported***

Supported

Not Supported

Supported

Softplus

Supported

Supported**

Supported

Not Supported

Supported

Softsign

Supported

Supported**

Not Supported

Supported

Not Supported

SpaceToDepth

Not Supported

Supported**

Not Supported

Not Supported

Supported*

SpatialTransformer

Not Supported

Supported**

Not Supported

Not Supported

Not Supported

Split

Supported

Supported***

Supported

Supported

Supported

Squeeze

Supported

Supported**

Supported

Supported

Supported

StridedSlice

Supported

Supported**

Supported

Not Supported

Supported*

Tan

Supported

Supported**

Not Supported

Not Supported

Supported****

TensorIterator

Not Supported

Supported

Supported

Supported

Supported

Tile

Supported**

Supported***

Supported

Not Supported

Supported

TopK

Supported

Supported**

Supported

Not Supported

Supported****

Unpooling

Supported

Not Supported

Not Supported

Not Supported

Not Supported

Unsqueeze

Supported

Supported**

Supported

Supported

Supported

Upsampling

Supported

Not Supported

Not Supported

Not Supported

Not Supported

*- support is limited to the specific parameters. Refer to “Known Layers Limitation” section for the device from the list of supported.

**- support is implemented via Extensibility mechanism.

***- supports NCDHW layout.

****- support is implemented via runtime reference.