new stuff

AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1802 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403075-NE-NEWSTUFF184
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March 06
  43 Minutes
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March 06
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March 07
  43 Minutes
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new stuffOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads)ASUS ROG ZENITH II EXTREME (1802 BIOS)AMD Starship/Matisse4 x 16GB DDR4-3600MT/s Corsair CMT64GX4M4Z3600C16Samsung SSD 980 PRO 500GBAMD Radeon RX 5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioASUS VP28UAquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 22.046.5.0-14-generic (x86_64)6.5.0-21-generic (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.54)1.2.204GCC 11.4.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelsDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionNew Stuff BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830107a- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_rstack_overflow: Mitigation of safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%102%103%105%OpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOChaos Group V-RAYOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOW.P.D.F - CPUW.P.D.F - CPUP.D.F - CPUP.D.F - CPUP.D.F - CPUP.D.F - CPUV.D.F - CPUV.D.F - CPUA.G.R.R.0.F - CPUA.G.R.R.0.F - CPUF.D.R.F - CPUF.D.R.F - CPUF.D.F.I - CPUF.D.F.I - CPUN.S.P.L.F - CPUN.S.P.L.F - CPUP.V.B.D.F - CPUP.V.B.D.F - CPUCPUR.S.A.F - CPUR.S.A.F - CPUV.D.F.I - CPUV.D.F.I - CPUR.S.A.F.I - CPUR.S.A.F.I - CPUP.R.I.R.F - CPUH.E.R.F.I - CPUP.R.I.R.F - CPUH.E.R.F.I - CPUF.D.R.F.I - CPUF.D.F - CPUM.T.E.T.D.F - CPUM.T.E.T.D.F - CPUF.D.F - CPUH.E.R.F - CPUH.E.R.F - CPUF.D.R.F.I - CPUW.P.D.F.I - CPUW.P.D.F.I - CPUA.G.R.R.0.F.I - CPUA.G.R.R.0.F.I - CPU

new stuffopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUv-ray: CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUabcd9.2389.1586.96614.8411.342717.99106.98910.77883.822876.18425.93106.341126.241251.921238.99424.991417.2727516.98440.4338636.14446161719.51179.17183.825.971402.995.87149.4117.5618.095.5537.54150.3628.412.7612.8675.2411.281.1572.60.829.2684.1485.79600.5311.112665.33106.99909.25832.542872.53422.8105.921125.151234.391229.46425.171408.8927548.26439.1238674.2450141715.49190186.3326.61430.45.99149.3517.5819.25.5637.81150.9128.4312.9412.9675.2111.341.1572.810.829.2686.4685.64613.3011.32706.29106.65905.63880.222865.70422.55105.861125.491235.871224.10424.361410.1527449.65439.9238594.89445071713.28184.78186.6926.041407.625.9149.8517.6518.165.5837.84150.9428.4212.9313.0275.3511.331.1572.690.829.2287.2789.6621.8411.342724.82108.04901.27882.552877.44426.49106.371127.941253.781243.84426.181417.7326939.1441.8138686.33443191722.44183.14178.3825.681404.935.86147.9517.7418.115.5537.48150.2328.3512.7412.8175.0311.271.1872.360.82OpenBenchmarking.org

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUdabc3691215SE +/- 0.10, N = 39.229.239.269.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUbcda20406080100SE +/- 0.66, N = 384.1486.4687.2789.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUcbad20406080100SE +/- 0.87, N = 385.6485.7986.9689.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUbcad130260390520650SE +/- 0.78, N = 3600.53613.30614.84621.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUbcad3691215SE +/- 0.00, N = 311.1111.3011.3411.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUbcad6001200180024003000SE +/- 0.21, N = 32665.332706.292717.992724.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUcabd20406080100SE +/- 0.16, N = 3106.65106.98106.99108.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUdcba2004006008001000SE +/- 4.34, N = 3901.27905.63909.25910.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUbcda2004006008001000SE +/- 1.03, N = 3832.54880.22882.55883.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUcbad6001200180024003000SE +/- 0.32, N = 32865.702872.532876.182877.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUcbad90180270360450SE +/- 0.26, N = 3422.55422.80425.93426.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUcbad20406080100SE +/- 0.11, N = 3105.86105.92106.34106.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUbcad2004006008001000SE +/- 0.63, N = 31125.151125.491126.241127.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUbcad30060090012001500SE +/- 1.49, N = 31234.391235.871251.921253.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUcbad30060090012001500SE +/- 1.12, N = 31224.101229.461238.991243.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUcabd90180270360450SE +/- 0.56, N = 3424.36424.99425.17426.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUbcad30060090012001500SE +/- 0.82, N = 31408.891410.151417.271417.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUdcab6K12K18K24K30KSE +/- 9.65, N = 326939.1027449.6527516.9827548.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUbcad100200300400500SE +/- 0.48, N = 3439.12439.92440.43441.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUcabd8K16K24K32K40KSE +/- 27.57, N = 338594.8938636.1438674.2038686.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPUdcab10K20K30K40K50KSE +/- 211.54, N = 344319445074461645014

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUdabc400800120016002000SE +/- 18.89, N = 31722.441719.511715.491713.28MIN: 1596.55 / MAX: 1846.55MIN: 1582.15 / MAX: 1853.15MIN: 1287.44 / MAX: 2021.14MIN: 1446.63 / MAX: 1903.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUbcda4080120160200SE +/- 1.37, N = 3190.00184.78183.14179.17MIN: 111.52 / MAX: 326.32MIN: 119.45 / MAX: 251.72MIN: 83.31 / MAX: 246.65MIN: 95.25 / MAX: 247.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUcbad4080120160200SE +/- 1.90, N = 3186.69186.33183.80178.38MIN: 94.93 / MAX: 249.57MIN: 96.63 / MAX: 310.79MIN: 147.02 / MAX: 250.69MIN: 146.94 / MAX: 250.111. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUbcad612182430SE +/- 0.03, N = 326.6026.0425.9725.68MIN: 10.56 / MAX: 94.11MIN: 9.97 / MAX: 50.46MIN: 11.33 / MAX: 47.95MIN: 10.88 / MAX: 49.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUbcda30060090012001500SE +/- 2.04, N = 31430.401407.621404.931402.99MIN: 785.99 / MAX: 1744.85MIN: 1357.63 / MAX: 1484.55MIN: 1350.43 / MAX: 1472.85MIN: 1370.56 / MAX: 1478.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUbcad1.34782.69564.04345.39126.739SE +/- 0.00, N = 35.995.905.875.86MIN: 3.4 / MAX: 46.26MIN: 3.17 / MAX: 17.28MIN: 3.46 / MAX: 17.32MIN: 3.63 / MAX: 17.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUcabd306090120150SE +/- 0.23, N = 3149.85149.41149.35147.95MIN: 35.69 / MAX: 186.48MIN: 101.1 / MAX: 173.59MIN: 52.83 / MAX: 245.78MIN: 94.93 / MAX: 168.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUdcba48121620SE +/- 0.08, N = 317.7417.6517.5817.56MIN: 9.37 / MAX: 38.68MIN: 11.31 / MAX: 40.23MIN: 10.29 / MAX: 96.98MIN: 11.85 / MAX: 39.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUbcda510152025SE +/- 0.02, N = 319.2018.1618.1118.09MIN: 11.36 / MAX: 82.77MIN: 9.49 / MAX: 43.66MIN: 10.07 / MAX: 37.42MIN: 17.28 / MAX: 37.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUcbda1.25552.5113.76655.0226.2775SE +/- 0.00, N = 35.585.565.555.55MIN: 3.53 / MAX: 19.53MIN: 3.54 / MAX: 15.23MIN: 3.56 / MAX: 16.83MIN: 3.58 / MAX: 16.081. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUcbad918273645SE +/- 0.02, N = 337.8437.8137.5437.48MIN: 26.41 / MAX: 74.94MIN: 32.02 / MAX: 71.39MIN: 20.55 / MAX: 74.35MIN: 30.7 / MAX: 75.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUcbad306090120150SE +/- 0.16, N = 3150.94150.91150.36150.23MIN: 78.92 / MAX: 221.74MIN: 78.96 / MAX: 213.96MIN: 89.32 / MAX: 216.43MIN: 120.56 / MAX: 217.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUbcad714212835SE +/- 0.02, N = 328.4328.4228.4028.35MIN: 14.49 / MAX: 62.05MIN: 14.21 / MAX: 61.28MIN: 20.62 / MAX: 60.08MIN: 15.52 / MAX: 66.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUbcad3691215SE +/- 0.01, N = 312.9412.9312.7612.74MIN: 7.54 / MAX: 27MIN: 9.26 / MAX: 27.17MIN: 9.76 / MAX: 27.07MIN: 9.26 / MAX: 26.41. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUcbad3691215SE +/- 0.01, N = 313.0212.9612.8612.81MIN: 8.06 / MAX: 28.35MIN: 10.12 / MAX: 26.41MIN: 9.32 / MAX: 25.64MIN: 9.05 / MAX: 27.081. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUcabd20406080100SE +/- 0.10, N = 375.3575.2475.2175.03MIN: 55.02 / MAX: 130.15MIN: 56.86 / MAX: 120.08MIN: 49.08 / MAX: 128.66MIN: 60.4 / MAX: 122.051. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUbcad3691215SE +/- 0.01, N = 311.3411.3311.2811.27MIN: 9.33 / MAX: 22.56MIN: 6.12 / MAX: 23.65MIN: 6.18 / MAX: 47.42MIN: 9.11 / MAX: 23.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUdcba0.26550.5310.79651.0621.3275SE +/- 0.00, N = 31.181.151.151.15MIN: 0.68 / MAX: 12.11MIN: 0.66 / MAX: 19.4MIN: 0.64 / MAX: 10.76MIN: 0.66 / MAX: 10.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUbcad1632486480SE +/- 0.07, N = 372.8172.6972.6072.36MIN: 62.37 / MAX: 109.35MIN: 49.56 / MAX: 113.87MIN: 49.27 / MAX: 110.31MIN: 49.23 / MAX: 115.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUdcba0.18450.3690.55350.7380.9225SE +/- 0.00, N = 30.820.820.820.82MIN: 0.51 / MAX: 9.99MIN: 0.5 / MAX: 10.62MIN: 0.52 / MAX: 10.82MIN: 0.51 / MAX: 10.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

41 Results Shown

OpenVINO:
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Person Re-Identification Retail FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
Chaos Group V-RAY
OpenVINO:
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
  Road Segmentation ADAS FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
  Handwritten English Recognition FP16 - CPU
  Person Re-Identification Retail FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU