Files
openvino/docs/benchmarks/performance_int8_vs_fp32.md
Ilya Lavrenov d1a7b0e3c0 Releases/2022/3 (#16409)
* Docs: Update the doc on default hint and execution devices property (#14836)

* Docs: Update to LATENCY as default hint
* Docs: Update the doc on execution devices property
* Update auto_device_selection.md

Co-authored-by: Yuan Xu <yuan1.xu@intel.com>

* 22.3: remove tbb version check for using tbbbind static library (#15700)

* update symbolic link on uninstall page (#15720)

* Update deployment_simplified.svg (#15681)

* [NormalizeL2] normalization of reduction axes (#15841) (#15879)

* Add test for negative axes, preliminary solution to solve uncorrect
results

* Normalize axes in operation NormalizeL2

* Add test for negative axes

* Add EOF

* [67541] - face-detection-0205, 0206 issues fixed (incorrect dimensions error) (#14687)

* [CVS-67541] - face-detection-0205, 0206 issues fixed (incorrect dimensions error)
* [CVS-67541] - face-detection-0205, 0206 issues fixed

* Conversion fail for ov::hint::performance_mode with UNDEFINED value (#15903)

* Update ov::hint::performance_hint UNDEFINED value from empty string to "UNDEFINED".
Update benchmark Python version.
Update the description about hint setting within benchmark APP README and help message.

* Drop the reduntant changes.

* Supported OpenSUSE 15.3 (#15897) (#15907)

* [DOCS] Structure change for 'AUTO Device Selection' article - post merge fix (#15752)

* aligning with 14750

* Fixed samples build on Debian 10 with cmake 3.13 (#15939)

* Fixed samples build on Debian 10 with cmake 3.13

* Use 2022/3 branches

* Limit setuptools version

* Fixed issues in setupvars.sh (#15884) (#15952)

* Fixed issues with setupvar.sh

* Fixes setupvars realpath error

---------

Co-authored-by: Otoka, Tomasz <tomasz.otoka@intel.com>

* Apivalidator (#15951)

* Improved API validator logic (#15942)

* Fix for apiValidator when more than 1 target needs to be checked (#15950)

* Prevent infinite recursion

* [Snippets] Added matcher_name in ConvertConstantsToScalars pass (#15977)

* Install libtbb2 instead of libtbb12 on U22.04 (#15993)

* Apply Apivalidator to extra TBB libs (#15998)

* [GNA] Changed max layer limit tests to avoid SEH exceptions (#15015) (#15460)

* splitted test model

* Changed test config

* Set SF for all inputs

* [Transformations] Enable missing runtime info check (#15796) (#15972)

* Add rt info propagation to StridesOptimization

* Enable rt info check for pruning tests

* Fixed clang-format for C API (#16025)

* Port to 2022.3 from master (#16049)

* notebooks update (#16091)

20230302220806

* Update Customize_Model_Optimizer.md (#15687)

Recreating #14062

* fix benchmark_app python to support YES and NO values for -pin parameter (#16042)

* support YES and NO for -pin

* add if property_name == 'AFFINITY'

---------

Co-authored-by: Chen Peter <peter.chen@intel.com>

* [Docs] nv12 changes port to 22.3 (#16115)

Port:
#15370
#16004

add single-plane input information
create single-plane cpp snippet
menu fix
update formatting for sphinx directives
additional snippet fixes
---------
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
Co-authored-by: Vladimir Paramuzov <vladimir.paramuzov@intel.com>

* [DOCS] Port  Frontend Extensions and OTX page (#16135)

* [DOCS] Add OTX page to Ecosystem  (#16118)

* add otx page

* change ecosystem page

* add ote img

* move ote page to rst

* fix path

* add path

* img test

* otx page

* add docs to ecosystem page

* [DOCS] Fix Frontend Extensions snippets (#16120)

* move fe to rst

* fix code snippets

* add more line breaks

* fix tabsets

* fix link

* fix anchor

* test

* fixing link

* change tab directive

* fix tabs

* align code tabs

* fix link

* fix snippets

* add dlwb to ecosystem

* change ecosystem menu

* exclude fe page

* Port to 2022.3 (#16174)

* Remove setuptools upperbound (#16054)

* Added missed licenses to openvino-dev (#16057)

* Fixed OpenMP + debian package code-path (#16058)

* [CPU] Prevent out of bounds read inside Graph::InferDynamic (#16067)

* Fixed compilation on Debian 11 with gcc 12.2 (#16096)

* Fix for OpenCL

---------

Co-authored-by: Przemyslaw Wysocki <przemyslaw.wysocki@intel.com>
Co-authored-by: Maksim Kutakov <maksim.kutakov@intel.com>

* Docs benchmarks page update port 22.3 (#16187)

changes to benchmarks page to align with theme

* Andreib/2022.3 myriad plugin obs (#16079)

* Changed to OBS firmware

* Changed dependencies settings for new FW

---------

Co-authored-by: Daria Mityagina <daria.mityagina@intel.com>

* port-16085 (#16210)

* 234 update (#16212)

Adding notebook 234-encodec-audio-compression

* [DOCS] Adding 'Scrollbox' - new sphinx directive (#15307)

port https://github.com/openvinotoolkit/openvino/pull/15305

* [DOCS] Updating 'Prerequisites' section in `Configurations for GNA` article - for 22.3 (#16237)

* issue-15090
Add command for installation of prerequisites on Linux.

* DOCS-image-fix port22.3 (#16341)

(#16324)
(#16308)

* Clearing of CustomReplacementRegistry.registry in convert_model() (#15893) (#16347)

* Clearing of CustomReplacementRegistry.registry.

* Added test.

* Fixed clearing of pipeline config params and TF session in convert_model() (#16191) (#16346)

* Fixed pipeline config params clearing.

* Added clearing of TF session. Added tests.

---------

Co-authored-by: Wang Wangwang <wangwang.wang@intel.com>
Co-authored-by: Yuan Xu <yuan1.xu@intel.com>
Co-authored-by: Fang Xu <fang.xu@intel.com>
Co-authored-by: Maciej Smyk <maciejx.smyk@intel.com>
Co-authored-by: Artur Kulikowski <artur.kulikowski@intel.com>
Co-authored-by: Daria Mityagina <daria.mityagina@intel.com>
Co-authored-by: Wang, Yang <yang4.wang@intel.com>
Co-authored-by: Sebastian Golebiewski <sebastianx.golebiewski@intel.com>
Co-authored-by: Otoka, Tomasz <tomasz.otoka@intel.com>
Co-authored-by: Alexandra Sidorova <alexandra.sidorova@intel.com>
Co-authored-by: Vitaliy Urusovskij <vitaliy.urusovskij@intel.com>
Co-authored-by: Mikhail Ryzhov <mikhail.ryzhov@intel.com>
Co-authored-by: Tomasz Jankowski <tomasz1.jankowski@intel.com>
Co-authored-by: Haiqi Pan <haiqi.pan@intel.com>
Co-authored-by: Chen Peter <peter.chen@intel.com>
Co-authored-by: Karol Blaszczak <karol.blaszczak@intel.com>
Co-authored-by: Ilya Churaev <ilyachur@gmail.com>
Co-authored-by: Vladimir Paramuzov <vladimir.paramuzov@intel.com>
Co-authored-by: Tatiana Savina <tatiana.savina@intel.com>
Co-authored-by: Przemyslaw Wysocki <przemyslaw.wysocki@intel.com>
Co-authored-by: Maksim Kutakov <maksim.kutakov@intel.com>
Co-authored-by: Andrei-George Boji <andrei-george.boji@intel.com>
Co-authored-by: Anastasiia Pnevskaia <anastasia.popova@intel.com>
2023-03-20 19:47:11 +04:00

2.1 KiB

Model Accuracy

The following table presents the absolute accuracy drop calculated as the accuracy difference between FP32 and INT8 representations of a model on two platforms

  • A - Intel® Core™ i9-9000K (AVX2)
  • B - Intel® Xeon® 6338, (VNNI)
  • C - Intel® Flex-170

@sphinxdirective .. list-table:: Model Accuracy :header-rows: 1

    • OpenVINO™ Model name
    • dataset
    • Metric Name
    • A
    • B
    • C
    • bert-base-cased
    • SST-2_bert_cased_padded
    • accuracy
    • 0.11%
    • 1.15%
    • 0.57%
    • bert-large-uncased-whole-word-masking-squad-0001
    • SQUAD_v1_1_bert_msl384_mql64_ds128_lowercase
    • F1
    • 0.51%
    • 0.55%
    • 0.68%
    • deeplabv3
    • VOC2012_segm
    • mean_iou
    • 0.44%
    • 0.06%
    • 0.04%
    • densenet-121
    • ImageNet2012
    • accuracy @ top1
    • 0.31%
    • 0.32%
    • 0.30%
    • efficientdet-d0
    • COCO2017_detection_91cl
    • coco_precision
    • 0.88%
    • 0.62%
    • 0.50%
    • faster_rcnn_resnet50_coco
    • COCO2017_detection_91cl_bkgr
    • coco_precision
    • 0.19%
    • 0.19%
    • 0.20%
    • googlenet-v4
    • ImageNet2012_bkgr
    • accuracy @ top1
    • 0.07%
    • 0.09%
    • 0.26%
    • mobilenet-ssd
    • VOC2007_detection
    • map
    • 0.47%
    • 0.14%
    • 0.48%
    • mobilenet-v2
    • ImageNet2012
    • accuracy @ top1
    • 0.50%
    • 0.18%
    • 0.20%
    • resnet-18
    • ImageNet2012
    • accuracy @ top1
    • 0.27%
    • 0.24%
    • 0.29%
    • resnet-50
    • ImageNet2012
    • accuracy @ top1
    • 0.13%
    • 0.12%
    • 0.13%
    • ssd-resnet34-1200
    • COCO2017_detection_80cl_bkgr
    • map
    • 0.08%
    • 0.09%
    • 0.06%
    • unet-camvid-onnx-0001
    • CamVid_12cl
    • mean_iou @ mean
    • 0.33%
    • 0.33%
    • 0.30%
    • yolo_v3_tiny
    • COCO2017_detection_80cl
    • map
    • 0.01%
    • 0.07%
    • 0.12%
    • yolo_v4
    • COCO2017_detection_80cl
    • map
    • 0.05%
    • 0.06%
    • 0.01%

@endsphinxdirective