2 x AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED 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 2209053-NE-EPYCSEP9279 epyc sep - Phoronix Test Suite epyc sep 2 x AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2209053-NE-EPYCSEP9279&rdt&gru .
epyc sep Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution A N C D 2 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads) AMD DAYTONA_X (RYM1009B BIOS) AMD Starship/Matisse 512GB 3841GB Micron_9300_MTFDHAL3T8TDP ASPEED VE228 2 x Mellanox MT27710 Ubuntu 22.04 5.19.0-051900daily20220803-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 1.2.204 GCC 11.2.0 ext4 1920x1080 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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-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 Disk Details - NONE / errors=remount-ro,relatime,rw / Block Size: 4096 Processor Details - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 Python Details - Python 3.10.4 Security 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 + srbds: Not affected + tsx_async_abort: Not affected
epyc sep openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU natron: Spaceship graphics-magick: Swirl graphics-magick: Rotate graphics-magick: Sharpen graphics-magick: Enhanced graphics-magick: Resizing graphics-magick: Noise-Gaussian graphics-magick: HWB Color Space compress-7zip: Compression Rating compress-7zip: Decompression Rating mnn: nasnet mnn: mobilenetV3 mnn: squeezenetv1.1 mnn: resnet-v2-50 mnn: SqueezeNetV1.0 mnn: MobileNetV2_224 mnn: mobilenet-v1-1.0 mnn: inception-v3 openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU unpack-linux: linux-5.19.tar.xz build-nodejs: Time To Compile build-php: Time To Compile build-python: Default build-python: Released Build, PGO + LTO Optimized build-erlang: Time To Compile build-wasmer: Time To Compile A N C D 17.67 13.03 13.19 1812.71 45.76 3117.18 1895.81 217.19 4550.37 2937.36 41358.65 59076.88 1.9 2158 568 784 1377 130 780 1039 514182 637290 93.47 3.283 11.919 25.463 7.738 6.867 5.209 30.499 3601.88 4799.15 4753.02 35.26 1389.97 20.51 33.72 294.05 28.11 21.76 3.01 2.06 6.946 111.334 39.09 15.304 261.72 100.236 51.506 17.57 13.04 13.07 1819.02 45.84 3121.06 1898.11 216.22 4553.62 2935.11 39273.79 62630.27 1.9 2143 738 776 1366 117 824 1031 508103 635891 33.35 4.456 5.207 26.045 8.859 6.611 4.465 29.84 3627.02 4791.04 4783.65 35.14 1384.14 20.48 33.68 295.39 28.09 21.77 3.19 1.94 6.87 113.809 39.118 15.263 260.978 98.272 50.784 17.74 12.97 13.12 1809.47 46.11 3123.56 1899.96 217.36 4554.06 2935.22 39955.31 61415.85 1.8 2126 721 773 1355 113 782 1107 512426 621945 107.171 9.549 5.101 25.342 8.767 6.568 4.9 30.645 3587.71 4797.26 4759.67 35.33 1378.82 20.47 33.64 293.88 28.08 21.77 3.13 1.96 6.823 112.73 39.164 15.296 261.764 101.425 51.03 17.66 13.01 13.03 1805.61 46 3118.52 1908.3 217.05 4553.16 2927.35 41518.27 57587.74 1.8 2141 723 772 1355 109 811 873 508007 641048 21.335 2.881 5.132 26.032 8.766 6.576 4.779 30.203 3607.68 4809.55 4783.28 35.4 1382.59 20.5 33.5 294.37 28.09 21.83 2.99 2.13 7.088 113.844 39.102 15.275 262.072 103.687 51.238 OpenBenchmarking.org
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU A N C D 4 8 12 16 20 17.67 17.57 17.74 17.66 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU A N C D 3 6 9 12 15 13.03 13.04 12.97 13.01 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU A N C D 3 6 9 12 15 13.19 13.07 13.12 13.03 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU A N C D 400 800 1200 1600 2000 1812.71 1819.02 1809.47 1805.61 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU A N C D 10 20 30 40 50 45.76 45.84 46.11 46.00 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU A N C D 700 1400 2100 2800 3500 3117.18 3121.06 3123.56 3118.52 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU A N C D 400 800 1200 1600 2000 1895.81 1898.11 1899.96 1908.30 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU A N C D 50 100 150 200 250 217.19 216.22 217.36 217.05 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU A N C D 1000 2000 3000 4000 5000 4550.37 4553.62 4554.06 4553.16 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU A N C D 600 1200 1800 2400 3000 2937.36 2935.11 2935.22 2927.35 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU A N C D 9K 18K 27K 36K 45K 41358.65 39273.79 39955.31 41518.27 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU A N C D 13K 26K 39K 52K 65K 59076.88 62630.27 61415.85 57587.74 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
Natron Input: Spaceship OpenBenchmarking.org FPS, More Is Better Natron 2.4.3 Input: Spaceship A N C D 0.4275 0.855 1.2825 1.71 2.1375 1.9 1.9 1.8 1.8
GraphicsMagick Operation: Swirl OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Swirl A N C D 500 1000 1500 2000 2500 2158 2143 2126 2141 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: Rotate OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Rotate A N C D 160 320 480 640 800 568 738 721 723 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Sharpen A N C D 200 400 600 800 1000 784 776 773 772 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced A N C D 300 600 900 1200 1500 1377 1366 1355 1355 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: Resizing OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Resizing A N C D 30 60 90 120 150 130 117 113 109 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: Noise-Gaussian OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Noise-Gaussian A N C D 200 400 600 800 1000 780 824 782 811 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: HWB Color Space OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: HWB Color Space A N C D 200 400 600 800 1000 1039 1031 1107 873 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating A N C D 110K 220K 330K 440K 550K 514182 508103 512426 508007 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating A N C D 140K 280K 420K 560K 700K 637290 635891 621945 641048 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Mobile Neural Network Model: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: nasnet A N C D 20 40 60 80 100 93.47 33.35 107.17 21.34 MIN: 60.76 / MAX: 114.25 MIN: 19.41 / MAX: 131.56 MIN: 76.16 / MAX: 138.67 MIN: 20.08 / MAX: 31.58 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: mobilenetV3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenetV3 A N C D 3 6 9 12 15 3.283 4.456 9.549 2.881 MIN: 2.24 / MAX: 11.45 MIN: 2.31 / MAX: 25.58 MIN: 4.92 / MAX: 17.47 MIN: 2.34 / MAX: 6.63 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: squeezenetv1.1 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: squeezenetv1.1 A N C D 3 6 9 12 15 11.919 5.207 5.101 5.132 MIN: 10.25 / MAX: 12.94 MIN: 4.29 / MAX: 6.43 MIN: 4.38 / MAX: 12.38 MIN: 5.05 / MAX: 8.63 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: resnet-v2-50 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: resnet-v2-50 A N C D 6 12 18 24 30 25.46 26.05 25.34 26.03 MIN: 22.54 / MAX: 34.61 MIN: 22.86 / MAX: 51.51 MIN: 23.89 / MAX: 53 MIN: 22.73 / MAX: 54.68 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: SqueezeNetV1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: SqueezeNetV1.0 A N C D 2 4 6 8 10 7.738 8.859 8.767 8.766 MIN: 6.75 / MAX: 9.07 MIN: 7.35 / MAX: 10.48 MIN: 7.28 / MAX: 22.14 MIN: 7.38 / MAX: 17.55 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: MobileNetV2_224 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: MobileNetV2_224 A N C D 2 4 6 8 10 6.867 6.611 6.568 6.576 MIN: 4.62 / MAX: 9.84 MIN: 5.1 / MAX: 8.49 MIN: 5.14 / MAX: 9.36 MIN: 5.95 / MAX: 19.87 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 A N C D 1.172 2.344 3.516 4.688 5.86 5.209 4.465 4.900 4.779 MIN: 4.4 / MAX: 6.46 MIN: 3.09 / MAX: 8.68 MIN: 3.35 / MAX: 15.04 MIN: 3.25 / MAX: 8.45 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: inception-v3 A N C D 7 14 21 28 35 30.50 29.84 30.65 30.20 MIN: 24.47 / MAX: 100.19 MIN: 24.02 / MAX: 91.57 MIN: 24.61 / MAX: 76.15 MIN: 24.28 / MAX: 107.48 1. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU A N C D 800 1600 2400 3200 4000 3601.88 3627.02 3587.71 3607.68 MIN: 3240.26 / MAX: 4342.56 MIN: 3354.9 / MAX: 3982.02 MIN: 3244.52 / MAX: 4117.04 MIN: 3358.31 / MAX: 3984.68 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU A N C D 1000 2000 3000 4000 5000 4799.15 4791.04 4797.26 4809.55 MIN: 2595.33 / MAX: 6009.57 MIN: 2713.04 / MAX: 6008.4 MIN: 2646.74 / MAX: 6025.7 MIN: 2480.55 / MAX: 6027.32 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU A N C D 1000 2000 3000 4000 5000 4753.02 4783.65 4759.67 4783.28 MIN: 2656.58 / MAX: 5914.24 MIN: 2330.36 / MAX: 6054.3 MIN: 2631.88 / MAX: 6054.94 MIN: 2659.71 / MAX: 6020.28 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU A N C D 8 16 24 32 40 35.26 35.14 35.33 35.40 MIN: 21.02 / MAX: 155.28 MIN: 18.05 / MAX: 153.79 MIN: 16.03 / MAX: 159.42 MIN: 17.28 / MAX: 145.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU A N C D 300 600 900 1200 1500 1389.97 1384.14 1378.82 1382.59 MIN: 1223.23 / MAX: 1778.47 MIN: 1164.13 / MAX: 1492.17 MIN: 1184.12 / MAX: 1491.57 MIN: 1147.05 / MAX: 1481.21 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16-INT8 - Device: CPU A N C D 5 10 15 20 25 20.51 20.48 20.47 20.50 MIN: 11.3 / MAX: 87.19 MIN: 13.16 / MAX: 83.07 MIN: 9.91 / MAX: 79.9 MIN: 11.52 / MAX: 85.56 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU A N C D 8 16 24 32 40 33.72 33.68 33.64 33.50 MIN: 18.51 / MAX: 109 MIN: 16.23 / MAX: 158.24 MIN: 15.33 / MAX: 111.26 MIN: 17.19 / MAX: 110.73 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU A N C D 60 120 180 240 300 294.05 295.39 293.88 294.37 MIN: 171.95 / MAX: 498.11 MIN: 122.47 / MAX: 454.97 MIN: 131.15 / MAX: 458.35 MIN: 198.5 / MAX: 480.03 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU A N C D 7 14 21 28 35 28.11 28.09 28.08 28.09 MIN: 13.09 / MAX: 64.82 MIN: 13.31 / MAX: 67 MIN: 14.29 / MAX: 63.03 MIN: 13.15 / MAX: 65.87 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU A N C D 5 10 15 20 25 21.76 21.77 21.77 21.83 MIN: 13.18 / MAX: 63.2 MIN: 13.31 / MAX: 63.4 MIN: 13.93 / MAX: 128.68 MIN: 11.64 / MAX: 57.86 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU A N C D 0.7178 1.4356 2.1534 2.8712 3.589 3.01 3.19 3.13 2.99 MIN: 0.88 / MAX: 40.68 MIN: 0.89 / MAX: 50.89 MIN: 0.88 / MAX: 48.24 MIN: 0.9 / MAX: 41.19 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU A N C D 0.4793 0.9586 1.4379 1.9172 2.3965 2.06 1.94 1.96 2.13 MIN: 0.54 / MAX: 70.29 MIN: 0.54 / MAX: 57.17 MIN: 0.54 / MAX: 62.96 MIN: 0.54 / MAX: 64.3 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
Unpacking The Linux Kernel linux-5.19.tar.xz OpenBenchmarking.org Seconds, Fewer Is Better Unpacking The Linux Kernel 5.19 linux-5.19.tar.xz A N C D 2 4 6 8 10 6.946 6.870 6.823 7.088
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 18.8 Time To Compile A N C D 30 60 90 120 150 111.33 113.81 112.73 113.84
Timed PHP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 8.1.9 Time To Compile A N C D 9 18 27 36 45 39.09 39.12 39.16 39.10
Timed CPython Compilation Build Configuration: Default OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Default A N C D 4 8 12 16 20 15.30 15.26 15.30 15.28
Timed CPython Compilation Build Configuration: Released Build, PGO + LTO Optimized OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized A N C D 60 120 180 240 300 261.72 260.98 261.76 262.07
Timed Erlang/OTP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Erlang/OTP Compilation 25.0 Time To Compile A N C D 20 40 60 80 100 100.24 98.27 101.43 103.69
Timed Wasmer Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 2.3 Time To Compile A N C D 12 24 36 48 60 51.51 50.78 51.03 51.24 1. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
Phoronix Test Suite v10.8.4