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openvino/docs/benchmarks/performance_benchmarks.md
Andrey Zaytsev 4ae6258bed Feature/azaytsev/from 2021 4 (#9247) 
* Added info on DockerHub CI Framework

* Feature/azaytsev/change layout (#3295)

* Changes according to feedback comments

* Replaced @ref's with html links

* Fixed links, added a title page for installing from repos and images, fixed formatting issues

* Added links

* minor fix

* Added DL Streamer to the list of components installed by default

* Link fixes

* Link fixes

* ovms doc fix (#2988)

* added OpenVINO Model Server

* ovms doc fixes

Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>

* Updated openvino_docs.xml

* Updated the link to software license agreements

* Revert "Updated the link to software license agreements"

This reverts commit 706dac500e.

* Docs to Sphinx (#8151)

* docs to sphinx

* Update GPU.md

* Update CPU.md

* Update AUTO.md

* Update performance_int8_vs_fp32.md

* update

* update md

* updates

* disable doc ci

* disable ci

* fix index.rst

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
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* Cherry-picked remove font-family (#8211)

* Cherry-picked: Update get_started_scripts.md (#8338)

* doc updates (#8268)

* Various doc changes

* theme changes

* remove font-family (#8211)

* fix  css

* Update uninstalling-openvino.md

* fix css

* fix

* Fixes for Installation Guides

Co-authored-by: Andrey Zaytsev <andrey.zaytsev@intel.com>
Co-authored-by: kblaszczak-intel <karol.blaszczak@intel.com>
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* Cherry-picked: doc script changes (#8568)

* fix openvino-sphinx-theme

* add linkcheck target

* fix

* change version

* add doxygen-xfail.txt

* fix

* AA

* fix

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* Cherry-pick: Feature/azaytsev/doc updates gna 2021 4 2 (#8567)

* Various doc changes

* Reformatted C++/Pythob sections. Updated with info from PR8490

* additional fix

* Gemini Lake replaced with Elkhart Lake

* Fixed links in IGs, Added 12th Gen
# Conflicts:
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#	thirdparty/ade

* Cherry-pick: Feature/azaytsev/doc fixes (#8897)

* Various doc changes

* Removed the empty Learning path topic

* Restored the Gemini Lake CPIU list
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* Cherry-pick: sphinx copybutton doxyrest code blocks (#8992)

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* Cherry-pick: fix untitled titles (#9213)

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* Cherry-pick: perf bench graph animation (#9045)

* animation

* fix
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* Cherry-pick: doc pytest (#8888)

* docs pytest

* fixes
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#	docs/scripts/ie_docs.xml
#	thirdparty/ade

* Cherry-pick: restore deleted files (#9215)

* Added new operations to the doc structure (from removed ie_docs.xml)

* Additional fixes

* Update docs/IE_DG/InferenceEngine_QueryAPI.md

Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>

* Update docs/IE_DG/Int8Inference.md

Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>

* Update Custom_Layers_Guide.md

* Changes according to review  comments

* doc scripts fixes

* Update docs/IE_DG/Int8Inference.md

Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>

* Update Int8Inference.md

* update xfail

* clang format

* updated xfail

Co-authored-by: Trawinski, Dariusz <dariusz.trawinski@intel.com>
Co-authored-by: Nikolay Tyukaev <nikolay.tyukaev@intel.com>
Co-authored-by: kblaszczak-intel <karol.blaszczak@intel.com>
Co-authored-by: Yury Gorbachev <yury.gorbachev@intel.com>
Co-authored-by: Helena Kloosterman <helena.kloosterman@intel.com>
2021-12-21 20:26:37 +03:00

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Performance Benchmarks

@sphinxdirective

.. toctree:: :maxdepth: 1 :hidden:

openvino_docs_performance_benchmarks_openvino openvino_docs_performance_benchmarks_ovms

@endsphinxdirective

The Intel® Distribution of OpenVINO™ toolkit helps accelerate deep learning inference across a variety of Intel® processors and accelerators.

The benchmarks below demonstrate high performance gains on several public neural networks on multiple Intel® CPUs, GPUs and VPUs covering a broad performance range. Use this data to help you decide which hardware is best for your applications and solutions, or to plan your AI workload on the Intel computing already included in your solutions.

Use the links below to review the benchmarking results for each alternative:

Performance for a particular application can also be evaluated virtually 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.