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.

HTML result view exported from: https://openbenchmarking.org/result/2212224-PTS-RYZENAMD77&sro&grs.

ryzen amd openvinoProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionabBcAMD 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)AMD 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 12.2.0ext41920x1080ASUS AMD Cezanne 512MBASUS AMD Cezanne 512MB (2500/1000MHz)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Processor Details- Scaling Governor: amd-pstate schedutil (Boost: Enabled) - Platform Profile: balanced - CPU Microcode: 0xa50000c - ACPI Profile: balanced Python Details- Python 3.10.7Security Details- 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

ryzen amd openvinoopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUabBc1.176766.25269.0714.871.2531.84125.56189.7921.061.261.313148.435991.722.121876.1814.91522.40267.963143.1615.305.3217.02234.84750.971.107135.46266.5315.011.2731.39127.27192.0420.811.261.323134.555961.442.131868.6514.95521.30267.263140.5715.325.3217.00234.97751.241.136997.51263.7315.161.2631.38127.30192.2620.791.271.323157.255959.642.131875.5014.90522.92268.063134.7115.285.3316.99235.15750.89OpenBenchmarking.org

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabBc0.26330.52660.78991.05321.3165SE +/- 0.01, N = 3SE +/- 0.01, N = 15SE +/- 0.01, N = 151.171.101.13MIN: 0.87 / MAX: 14.41MIN: 0.84 / MAX: 13.83MIN: 0.87 / MAX: 13.91. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUabBc15003000450060007500SE +/- 60.48, N = 3SE +/- 61.65, N = 15SE +/- 67.93, N = 156766.257135.466997.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUabBc60120180240300SE +/- 2.64, N = 15SE +/- 3.80, N = 3SE +/- 2.14, N = 9269.07266.53263.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUabBc48121620SE +/- 0.14, N = 15SE +/- 0.21, N = 3SE +/- 0.12, N = 914.8715.0115.16MIN: 9.89 / MAX: 28.21MIN: 10.26 / MAX: 25.98MIN: 9.92 / MAX: 27.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUabBc0.28580.57160.85741.14321.429SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.251.271.261. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUabBc714212835SE +/- 0.23, N = 15SE +/- 0.12, N = 3SE +/- 0.07, N = 331.8431.3931.38MIN: 17.9 / MAX: 109.8MIN: 21.25 / MAX: 48.23MIN: 17.8 / MAX: 49.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUabBc306090120150SE +/- 0.84, N = 15SE +/- 0.47, N = 3SE +/- 0.28, N = 3125.56127.27127.301. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUabBc4080120160200SE +/- 2.49, N = 3SE +/- 0.51, N = 3SE +/- 0.27, N = 3189.79192.04192.26MIN: 163.97 / MAX: 211.6MIN: 166.85 / MAX: 209.13MIN: 166.08 / MAX: 208.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUabBc510152025SE +/- 0.28, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 321.0620.8120.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUabBc0.28580.57160.85741.14321.429SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.261.261.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUabBc0.2970.5940.8911.1881.485SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.311.321.32MIN: 0.98 / MAX: 13.8MIN: 0.96 / MAX: 14.33MIN: 0.96 / MAX: 14.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUabBc7001400210028003500SE +/- 7.89, N = 3SE +/- 6.61, N = 3SE +/- 9.98, N = 33148.433134.553157.25MIN: 2527.95 / MAX: 3461.14MIN: 2572.82 / MAX: 3441.81MIN: 2627.61 / MAX: 3453.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUabBc13002600390052006500SE +/- 43.34, N = 3SE +/- 48.81, N = 3SE +/- 81.34, N = 35991.725961.445959.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUabBc0.47930.95861.43791.91722.3965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.122.132.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Face Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUabBc400800120016002000SE +/- 3.82, N = 3SE +/- 1.98, N = 3SE +/- 2.62, N = 31876.181868.651875.50MIN: 1654.35 / MAX: 2035.51MIN: 1669.93 / MAX: 1975.51MIN: 1759.25 / MAX: 1985.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUabBc48121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 314.9114.9514.90MIN: 11.25 / MAX: 25.85MIN: 11.27 / MAX: 27.24MIN: 11.27 / MAX: 27.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUabBc110220330440550SE +/- 0.29, N = 3SE +/- 0.25, N = 3SE +/- 0.85, N = 3522.40521.30522.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUabBc60120180240300SE +/- 0.23, N = 3SE +/- 0.48, N = 3SE +/- 0.39, N = 3267.96267.26268.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Person Detection FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUabBc7001400210028003500SE +/- 3.30, N = 3SE +/- 2.98, N = 3SE +/- 2.73, N = 33143.163140.573134.71MIN: 2512.36 / MAX: 3483.24MIN: 2610.7 / MAX: 3429.64MIN: 2514.49 / MAX: 3435.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUabBc48121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 315.3015.3215.28MIN: 13.68 / MAX: 25.18MIN: 13.57 / MAX: 24.71MIN: 13.71 / MAX: 25.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUabBc1.19932.39863.59794.79725.9965SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.325.325.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUabBc48121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 317.0217.0016.99MIN: 15.27 / MAX: 28.67MIN: 15.29 / MAX: 27.69MIN: 15.28 / MAX: 30.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUabBc50100150200250SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.45, N = 3234.84234.97235.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUabBc160320480640800SE +/- 0.83, N = 3SE +/- 0.45, N = 3SE +/- 0.33, N = 3750.97751.24750.89MIN: 696.5 / MAX: 767.81MIN: 696.55 / MAX: 766.4MIN: 696.6 / MAX: 768.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

Phoronix Test Suite v10.8.5