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