ryzen amd openvino

AMD Ryzen 9 5900HX testing with a ASUS G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Ubuntu 22.10 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 2212224-PTS-RYZENAMD77
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a
December 22 2022
  2 Hours, 3 Minutes
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December 22 2022
  1 Hour, 39 Minutes
c
December 22 2022
  1 Hour, 51 Minutes
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ryzen amd openvinoOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 9 5900HX @ 4.89GHz (8 Cores / 16 Threads)ASUS G513QY v1.0 (G513QY.318 BIOS)AMD Renoir/Cezanne16GB512GB SAMSUNG MZVLQ512HBLU-00B00ASUS AMD Cezanne 512MB (2500/1000MHz)ASUS AMD Cezanne 512MBAMD Navi 21/23LQ156M1JW25Realtek RTL8111/8168/8411 + MEDIATEK MT7921 802.11ax PCIUbuntu 22.105.19.0-26-generic (x86_64)GNOME Shell 43.0X Server 1.21.1.4 + Wayland4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.47)1.3.224GCC 12.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionRyzen Amd Openvino BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-U8K4Qv/gcc-12-12.2.0/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-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: amd-pstate schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa50000c - ACPI Profile: balanced - Python 3.10.7- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

abBcResult OverviewPhoronix Test Suite100%102%103%105%106%OpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOOpenVINOA.G.R.R.0.F.I - CPUA.G.R.R.0.F.I - CPUV.D.F.I - CPUV.D.F.I - CPUP.D.F - CPUV.D.F - CPUV.D.F - CPUM.T.E.T.D.F - CPUM.T.E.T.D.F - CPUP.D.F - CPUA.G.R.R.0.F - CPUP.D.F - CPUA.G.R.R.0.F - CPUF.D.F - CPUF.D.F - CPUP.V.B.D.F - CPUW.P.D.F.I - CPUP.V.B.D.F - CPUP.D.F - CPUW.P.D.F.I - CPUF.D.F.I - CPUW.P.D.F - CPUW.P.D.F - CPUF.D.F.I - CPU

ryzen amd openvinoopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUabBc2.121876.181.253148.431.263143.16125.5631.845.32750.97269.0714.87234.8417.0221.06189.79522.4015.30267.9614.915991.721.316766.251.172.131868.651.273134.551.263140.57127.2731.395.32751.24266.5315.01234.9717.0020.81192.04521.3015.32267.2614.955961.441.327135.461.102.131875.501.263157.251.273134.71127.3031.385.33750.89263.7315.16235.1516.9920.79192.26522.9215.28268.0614.905959.641.326997.511.13OpenBenchmarking.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 2022.3Model: Face Detection FP16 - Device: CPUcbBa0.47930.95861.43791.91722.3965SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.132.132.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUcbBa400800120016002000SE +/- 2.62, N = 3SE +/- 1.98, N = 3SE +/- 3.82, N = 31875.501868.651876.18MIN: 1759.25 / MAX: 1985.44MIN: 1669.93 / MAX: 1975.51MIN: 1654.35 / MAX: 2035.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUcbBa0.28580.57160.85741.14321.429SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.261.271.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUcbBa7001400210028003500SE +/- 9.98, N = 3SE +/- 6.61, N = 3SE +/- 7.89, N = 33157.253134.553148.43MIN: 2627.61 / MAX: 3453.81MIN: 2572.82 / MAX: 3441.81MIN: 2527.95 / MAX: 3461.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUcbBa0.28580.57160.85741.14321.429SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.271.261.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUcbBa7001400210028003500SE +/- 2.73, N = 3SE +/- 2.98, N = 3SE +/- 3.30, N = 33134.713140.573143.16MIN: 2514.49 / MAX: 3435.65MIN: 2610.7 / MAX: 3429.64MIN: 2512.36 / MAX: 3483.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUcbBa306090120150SE +/- 0.28, N = 3SE +/- 0.47, N = 3SE +/- 0.84, N = 15127.30127.27125.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUcbBa714212835SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.23, N = 1531.3831.3931.84MIN: 17.8 / MAX: 49.83MIN: 21.25 / MAX: 48.23MIN: 17.9 / MAX: 109.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUcbBa1.19932.39863.59794.79725.9965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.335.325.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUcbBa160320480640800SE +/- 0.33, N = 3SE +/- 0.45, N = 3SE +/- 0.83, N = 3750.89751.24750.97MIN: 696.6 / MAX: 768.13MIN: 696.55 / MAX: 766.4MIN: 696.5 / MAX: 767.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUcbBa60120180240300SE +/- 2.14, N = 9SE +/- 3.80, N = 3SE +/- 2.64, N = 15263.73266.53269.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUcbBa48121620SE +/- 0.12, N = 9SE +/- 0.21, N = 3SE +/- 0.14, N = 1515.1615.0114.87MIN: 9.92 / MAX: 27.17MIN: 10.26 / MAX: 25.98MIN: 9.89 / MAX: 28.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUcbBa50100150200250SE +/- 0.45, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3235.15234.97234.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUcbBa48121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 316.9917.0017.02MIN: 15.28 / MAX: 30.35MIN: 15.29 / MAX: 27.69MIN: 15.27 / MAX: 28.671. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUcbBa510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.28, N = 320.7920.8121.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUcbBa4080120160200SE +/- 0.27, N = 3SE +/- 0.51, N = 3SE +/- 2.49, N = 3192.26192.04189.79MIN: 166.08 / MAX: 208.84MIN: 166.85 / MAX: 209.13MIN: 163.97 / MAX: 211.61. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUcbBa110220330440550SE +/- 0.85, N = 3SE +/- 0.25, N = 3SE +/- 0.29, N = 3522.92521.30522.401. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUcbBa48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.2815.3215.30MIN: 13.71 / MAX: 25.91MIN: 13.57 / MAX: 24.71MIN: 13.68 / MAX: 25.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUcbBa60120180240300SE +/- 0.39, N = 3SE +/- 0.48, N = 3SE +/- 0.23, N = 3268.06267.26267.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUcbBa48121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 314.9014.9514.91MIN: 11.27 / MAX: 27.92MIN: 11.27 / MAX: 27.24MIN: 11.25 / MAX: 25.851. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUcbBa13002600390052006500SE +/- 81.34, N = 3SE +/- 48.81, N = 3SE +/- 43.34, N = 35959.645961.445991.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUcbBa0.2970.5940.8911.1881.485SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.321.321.31MIN: 0.96 / MAX: 14.52MIN: 0.96 / MAX: 14.33MIN: 0.98 / MAX: 13.81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUcbBa15003000450060007500SE +/- 67.93, N = 15SE +/- 61.65, N = 15SE +/- 60.48, N = 36997.517135.466766.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUcbBa0.26330.52660.78991.05321.3165SE +/- 0.01, N = 15SE +/- 0.01, N = 15SE +/- 0.01, N = 31.131.101.17MIN: 0.87 / MAX: 13.9MIN: 0.84 / MAX: 13.83MIN: 0.87 / MAX: 14.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

24 Results Shown

OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms