3950X Sep AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VII HERO (WI-FI) (3103 BIOS) and Sapphire AMD Radeon RX 470 4GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2209044-NE-3950XSEP507&gru&sor .
3950X Sep Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution A B C D E AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores) ASUS ROG CROSSHAIR VII HERO (WI-FI) (3103 BIOS) AMD Starship/Matisse 16GB Samsung SSD 970 EVO 250GB Sapphire AMD Radeon RX 470 4GB (1260/1750MHz) AMD Ellesmere HDMI Audio DELL S2409W Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/ac Ubuntu 22.04 5.19.0-051900daily20220813-generic (x86_64) GNOME Shell 42.2 X Server + Wayland 4.6 Mesa 22.0.5 (LLVM 13.0.1 DRM 3.48) 1.3.204 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 schedutil (Boost: Enabled) - CPU Microcode: 0x8701021 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: Mitigation of IBPB + 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: always-on STIBP: forced RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
3950X 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 blosc: blosclz shuffle blosc: blosclz bitshuffle compress-7zip: Compression Rating compress-7zip: Decompression Rating etcd: PUT - 50 - 100 etcd: PUT - 100 - 100 etcd: PUT - 50 - 1000 etcd: PUT - 500 - 100 etcd: PUT - 100 - 1000 etcd: PUT - 500 - 1000 etcd: RANGE - 50 - 100 etcd: RANGE - 100 - 100 etcd: RANGE - 50 - 1000 etcd: RANGE - 500 - 100 etcd: RANGE - 100 - 1000 etcd: RANGE - 500 - 1000 etcd: PUT - 50 - 100 - Average Latency etcd: PUT - 100 - 100 - Average Latency etcd: PUT - 50 - 1000 - Average Latency etcd: PUT - 500 - 100 - Average Latency etcd: PUT - 100 - 1000 - Average Latency etcd: PUT - 500 - 1000 - Average Latency etcd: RANGE - 50 - 100 - Average Latency etcd: RANGE - 100 - 100 - Average Latency etcd: RANGE - 50 - 1000 - Average Latency etcd: RANGE - 500 - 100 - Average Latency etcd: RANGE - 100 - 1000 - Average Latency etcd: RANGE - 500 - 1000 - Average Latency 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 B C D E 3.16 2.37 2.39 351.33 5.74 437.73 321.78 36.32 570.81 504.46 10973.67 15767.85 3.3 659 468 251 364 1688 290 729 14794.4 10091.1 84205 75100 30093.3858 29893.4342 90351.7306 29940.6161 85435.5111 66273.0768 30099.5813 26866.5759 90098.1995 18991.5239 84607.3437 65917.2412 3.3 3.3 11 3.3 11.6 14.7 3.3 3.7 11 5.3 11.7 14.8 12.978 2.013 3.379 20.177 5.421 3.592 2.698 27.847 1258.34 1668.85 1659.89 11.37 695.52 9.13 12.41 110.01 28.01 7.92 1.44 1.01 7.698 497.19 60.378 18.361 272.578 111.939 57.352 3.16 2.38 2.42 343.85 5.76 439 321.18 36.04 572.41 503.24 11065.96 15826.05 3.4 657 463 251 363 1674 289 722 14622.1 10039.2 82350 74832 16614.8535 16572.2801 89723.1316 16446.3786 84546.0612 65970.6099 16178.249 16165.5907 89816.4119 16096.4741 84592.9072 65709.4541 6 6 11.1 6.1 11.7 14.8 6.2 6.2 11 6.2 11.7 14.8 13.061 2.006 3.374 20.064 5.566 3.571 2.692 27.608 1255.92 1661.53 1637.81 11.61 693.78 9.1 12.43 110.92 27.92 7.93 1.43 1 7.682 497.081 60.627 18.414 272.358 112.06 57.317 3.14 2.39 2.41 344.15 5.77 439.42 321.38 36.06 572.84 504.03 11106.24 15841.7 3.3 658 461 251 364 1684 289 722 14763.6 10074.1 83291 75045 15974.8552 15915.4645 89853.168 15901.9526 84943.43 65829.2852 15954.5557 16010.0146 89932.6944 15859.1248 84946.7854 65751.5752 6.3 6.3 11 6.3 11.6 14.8 6.3 6.2 11 6.3 11.6 14.8 12.798 1.971 3.279 20.321 5.401 3.542 2.7 27.76 1271.04 1663.26 1641.56 11.6 692.6 9.09 12.42 110.84 27.91 7.92 1.43 1 7.653 495.674 60.57 18.379 272.803 112.666 57.32 3.13 2.41 2.42 344.26 5.76 438.99 321.99 36.15 572.19 504.36 11031.84 15834.93 3.4 657 462 251 363 1673 289 723 14684.2 10053.4 84096 74994 15721.3132 15687.9816 89674.3612 15561.3594 84669.7892 65753.4823 15613.6585 15511.5642 90539.5988 15521.4251 84795.2544 65750.6546 6.4 6.4 11.1 6.4 11.7 14.8 6.4 6.4 11 6.4 11.7 14.8 13.057 2.014 3.37 20.069 5.541 3.508 2.69 27.825 1274.45 1645.1 1643.31 11.6 693.83 9.1 12.4 110.55 27.94 7.92 1.44 1 7.675 496.204 60.49 18.366 272.489 113.131 57.618 3.14 2.39 2.39 340.86 5.74 436.56 320.41 35.75 569.25 503.15 11013.08 15751.27 3.3 653 461 249 362 1666 289 720 14626.6 10021.8 83473 74898 15591.5835 15439.5777 72969.6471 15135.4651 62573.1546 52164.5114 13528.9582 13662.1831 57913.1768 12552.8291 55692.0084 47997.9506 6.4 6.5 13.7 6.6 16.0 18.8 7.4 7.3 17.5 8.0 18.1 20.5 12.810 1.972 3.312 20.032 5.380 3.506 2.683 27.527 1269.03 1654.29 1661.55 11.71 696.40 9.15 12.46 111.79 28.08 7.94 1.44 1.01 7.648 496.366 60.039 18.387 274.585 112.594 57.353 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 B A E C D 0.711 1.422 2.133 2.844 3.555 SE +/- 0.00, N = 3 3.16 3.16 3.14 3.14 3.13 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU D E C B A 0.5423 1.0846 1.6269 2.1692 2.7115 SE +/- 0.01, N = 3 2.41 2.39 2.39 2.38 2.37 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU D B C E A 0.5445 1.089 1.6335 2.178 2.7225 SE +/- 0.02, N = 3 2.42 2.42 2.41 2.39 2.39 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU A D C B E 80 160 240 320 400 SE +/- 2.43, N = 3 351.33 344.26 344.15 343.85 340.86 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 C D B E A 1.2983 2.5966 3.8949 5.1932 6.4915 SE +/- 0.00, N = 3 5.77 5.76 5.76 5.74 5.74 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 C B D A E 100 200 300 400 500 SE +/- 0.31, N = 3 439.42 439.00 438.99 437.73 436.56 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 D A C B E 70 140 210 280 350 SE +/- 0.08, N = 3 321.99 321.78 321.38 321.18 320.41 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 D C B E 8 16 24 32 40 SE +/- 0.10, N = 3 36.32 36.15 36.06 36.04 35.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 C B D A E 120 240 360 480 600 SE +/- 0.37, N = 3 572.84 572.41 572.19 570.81 569.25 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 D C B E 110 220 330 440 550 SE +/- 0.63, N = 3 504.46 504.36 504.03 503.24 503.15 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 C B D E A 2K 4K 6K 8K 10K SE +/- 33.81, N = 3 11106.24 11065.96 11031.84 11013.08 10973.67 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 C D B A E 3K 6K 9K 12K 15K SE +/- 1.59, N = 3 15841.70 15834.93 15826.05 15767.85 15751.27 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
Natron Input: Spaceship OpenBenchmarking.org FPS, More Is Better Natron 2.4.3 Input: Spaceship D B E C A 0.765 1.53 2.295 3.06 3.825 SE +/- 0.06, N = 12 3.4 3.4 3.3 3.3 3.3
GraphicsMagick Operation: Swirl OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Swirl A C D B E 140 280 420 560 700 SE +/- 1.20, N = 3 659 658 657 657 653 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 B D E C 100 200 300 400 500 SE +/- 0.33, N = 3 468 463 462 461 461 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 D C B A E 50 100 150 200 250 SE +/- 0.67, N = 3 251 251 251 251 249 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 C A D B E 80 160 240 320 400 SE +/- 0.33, N = 3 364 364 363 363 362 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 C B D E 400 800 1200 1600 2000 SE +/- 3.67, N = 3 1688 1684 1674 1673 1666 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 E D C B 60 120 180 240 300 SE +/- 0.33, N = 3 290 289 289 289 289 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 D C B E 160 320 480 640 800 SE +/- 0.58, N = 3 729 723 722 722 720 1. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
C-Blosc Test: blosclz shuffle OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.3 Test: blosclz shuffle A C D E B 3K 6K 9K 12K 15K SE +/- 39.75, N = 3 14794.4 14763.6 14684.2 14626.6 14622.1 1. (CC) gcc options: -std=gnu99 -O3 -lrt -lm
C-Blosc Test: blosclz bitshuffle OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.3 Test: blosclz bitshuffle A C D B E 2K 4K 6K 8K 10K SE +/- 4.68, N = 3 10091.1 10074.1 10053.4 10039.2 10021.8 1. (CC) gcc options: -std=gnu99 -O3 -lrt -lm
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating A D E C B 20K 40K 60K 80K 100K SE +/- 30.72, N = 3 84205 84096 83473 83291 82350 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 C D E B 16K 32K 48K 64K 80K SE +/- 23.02, N = 3 75100 75045 74994 74898 74832 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
etcd Test: PUT - Connections: 50 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 100 A B C D E 6K 12K 18K 24K 30K SE +/- 9.73, N = 3 30093.39 16614.85 15974.86 15721.31 15591.58
etcd Test: PUT - Connections: 100 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 100 A B C D E 6K 12K 18K 24K 30K SE +/- 18.08, N = 3 29893.43 16572.28 15915.46 15687.98 15439.58
etcd Test: PUT - Connections: 50 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 1000 A C B D E 20K 40K 60K 80K 100K SE +/- 1306.71, N = 15 90351.73 89853.17 89723.13 89674.36 72969.65
etcd Test: PUT - Connections: 500 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 100 A B C D E 6K 12K 18K 24K 30K SE +/- 148.13, N = 6 29940.62 16446.38 15901.95 15561.36 15135.47
etcd Test: PUT - Connections: 100 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 1000 A C D B E 20K 40K 60K 80K 100K SE +/- 1719.86, N = 15 85435.51 84943.43 84669.79 84546.06 62573.15
etcd Test: PUT - Connections: 500 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 1000 A B C D E 14K 28K 42K 56K 70K SE +/- 625.45, N = 15 66273.08 65970.61 65829.29 65753.48 52164.51
etcd Test: RANGE - Connections: 50 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 100 A B C D E 6K 12K 18K 24K 30K SE +/- 119.86, N = 7 30099.58 16178.25 15954.56 15613.66 13528.96
etcd Test: RANGE - Connections: 100 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 100 A B C D E 6K 12K 18K 24K 30K SE +/- 215.62, N = 9 26866.58 16165.59 16010.01 15511.56 13662.18
etcd Test: RANGE - Connections: 50 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 1000 D A C B E 20K 40K 60K 80K 100K SE +/- 2395.30, N = 15 90539.60 90098.20 89932.69 89816.41 57913.18
etcd Test: RANGE - Connections: 500 - Clients: 100 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 100 A B C D E 4K 8K 12K 16K 20K SE +/- 112.68, N = 7 18991.52 16096.47 15859.12 15521.43 12552.83
etcd Test: RANGE - Connections: 100 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 1000 C D A B E 20K 40K 60K 80K 100K SE +/- 1989.42, N = 15 84946.79 84795.25 84607.34 84592.91 55692.01
etcd Test: RANGE - Connections: 500 - Clients: 1000 OpenBenchmarking.org Requests/sec, More Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 1000 A C D B E 14K 28K 42K 56K 70K SE +/- 337.08, N = 15 65917.24 65751.58 65750.65 65709.45 47997.95
etcd Test: PUT - Connections: 50 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 100 - Average Latency A B C D E 2 4 6 8 10 SE +/- 0.00, N = 3 3.3 6.0 6.3 6.4 6.4
etcd Test: PUT - Connections: 100 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 100 - Average Latency A B C D E 2 4 6 8 10 SE +/- 0.00, N = 3 3.3 6.0 6.3 6.4 6.5
etcd Test: PUT - Connections: 50 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 1000 - Average Latency A C B D E 4 8 12 16 20 SE +/- 0.21, N = 15 11.0 11.0 11.1 11.1 13.7
etcd Test: PUT - Connections: 500 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 100 - Average Latency A B C D E 2 4 6 8 10 SE +/- 0.07, N = 6 3.3 6.1 6.3 6.4 6.6
etcd Test: PUT - Connections: 100 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 1000 - Average Latency A C B D E 4 8 12 16 20 SE +/- 0.35, N = 15 11.6 11.6 11.7 11.7 16.0
etcd Test: PUT - Connections: 500 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 1000 - Average Latency A B C D E 5 10 15 20 25 SE +/- 0.21, N = 15 14.7 14.8 14.8 14.8 18.8
etcd Test: RANGE - Connections: 50 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 100 - Average Latency A B C D E 2 4 6 8 10 SE +/- 0.07, N = 7 3.3 6.2 6.3 6.4 7.4
etcd Test: RANGE - Connections: 100 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 100 - Average Latency A B C D E 2 4 6 8 10 SE +/- 0.11, N = 9 3.7 6.2 6.2 6.4 7.3
etcd Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 1000 - Average Latency A B C D E 4 8 12 16 20 SE +/- 0.51, N = 15 11.0 11.0 11.0 11.0 17.5
etcd Test: RANGE - Connections: 500 - Clients: 100 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 100 - Average Latency A B C D E 2 4 6 8 10 SE +/- 0.08, N = 7 5.3 6.2 6.3 6.4 8.0
etcd Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 1000 - Average Latency C A B D E 4 8 12 16 20 SE +/- 0.46, N = 15 11.6 11.7 11.7 11.7 18.1
etcd Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency OpenBenchmarking.org ms, Fewer Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 1000 - Average Latency A B C D E 5 10 15 20 25 SE +/- 0.14, N = 15 14.8 14.8 14.8 14.8 20.5
Mobile Neural Network Model: nasnet OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: nasnet C E A D B 3 6 9 12 15 SE +/- 0.02, N = 3 12.80 12.81 12.98 13.06 13.06 MIN: 12.68 / MAX: 19.17 MIN: 12.68 / MAX: 30.81 MIN: 12.88 / MAX: 19.14 MIN: 12.94 / MAX: 19.32 MIN: 12.97 / MAX: 19.07 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
Mobile Neural Network Model: mobilenetV3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenetV3 C E B A D 0.4532 0.9064 1.3596 1.8128 2.266 SE +/- 0.009, N = 3 1.971 1.972 2.006 2.013 2.014 MIN: 1.94 / MAX: 3.07 MIN: 1.93 / MAX: 3.06 MIN: 1.98 / MAX: 2.75 MIN: 1.99 / MAX: 3.11 MIN: 1.99 / MAX: 2.25 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: squeezenetv1.1 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: squeezenetv1.1 C E D B A 0.7603 1.5206 2.2809 3.0412 3.8015 SE +/- 0.008, N = 3 3.279 3.312 3.370 3.374 3.379 MIN: 3.24 / MAX: 4.29 MIN: 3.26 / MAX: 4.42 MIN: 3.32 / MAX: 4.47 MIN: 3.33 / MAX: 4.48 MIN: 3.34 / MAX: 4.37 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 E B D A C 5 10 15 20 25 SE +/- 0.07, N = 3 20.03 20.06 20.07 20.18 20.32 MIN: 19.6 / MAX: 34.6 MIN: 19.82 / MAX: 36.51 MIN: 19.84 / MAX: 34.96 MIN: 19.89 / MAX: 26.06 MIN: 20.04 / MAX: 36.83 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 E C A D B 1.2524 2.5048 3.7572 5.0096 6.262 SE +/- 0.019, N = 3 5.380 5.401 5.421 5.541 5.566 MIN: 5.3 / MAX: 6.52 MIN: 5.35 / MAX: 6.22 MIN: 5.35 / MAX: 21.72 MIN: 5.49 / MAX: 6.76 MIN: 5.51 / MAX: 6.67 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 E D C B A 0.8082 1.6164 2.4246 3.2328 4.041 SE +/- 0.022, N = 3 3.506 3.508 3.542 3.571 3.592 MIN: 3.44 / MAX: 9.59 MIN: 3.47 / MAX: 4.6 MIN: 3.5 / MAX: 5.07 MIN: 3.53 / MAX: 4.69 MIN: 3.55 / MAX: 6.84 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
Mobile Neural Network Model: mobilenet-v1-1.0 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: mobilenet-v1-1.0 E D B A C 0.6075 1.215 1.8225 2.43 3.0375 SE +/- 0.024, N = 3 2.683 2.690 2.692 2.698 2.700 MIN: 2.61 / MAX: 3.75 MIN: 2.65 / MAX: 3.76 MIN: 2.65 / MAX: 3.77 MIN: 2.66 / MAX: 3.73 MIN: 2.66 / MAX: 3.68 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: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: inception-v3 E B C D A 7 14 21 28 35 SE +/- 0.09, N = 3 27.53 27.61 27.76 27.83 27.85 MIN: 27.08 / MAX: 47.12 MIN: 27.19 / MAX: 34.67 MIN: 27.3 / MAX: 72.79 MIN: 27.33 / MAX: 33.14 MIN: 27.42 / MAX: 33.72 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 B A E C D 300 600 900 1200 1500 SE +/- 1.95, N = 3 1255.92 1258.34 1269.03 1271.04 1274.45 MIN: 1206.49 / MAX: 1356.42 MIN: 1201.93 / MAX: 1341.23 MIN: 1210.75 / MAX: 1378.29 MIN: 1241.13 / MAX: 1380.49 MIN: 1226.87 / MAX: 1355.68 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU D E B C A 400 800 1200 1600 2000 SE +/- 9.27, N = 3 1645.10 1654.29 1661.53 1663.26 1668.85 MIN: 1489.68 / MAX: 1839.49 MIN: 1481.86 / MAX: 1868.97 MIN: 1480.92 / MAX: 1803.33 MIN: 1482.48 / MAX: 1805.04 MIN: 1447.91 / MAX: 1780.07 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU B C D A E 400 800 1200 1600 2000 SE +/- 11.54, N = 3 1637.81 1641.56 1643.31 1659.89 1661.55 MIN: 1490.45 / MAX: 1850.31 MIN: 1477.93 / MAX: 1797.33 MIN: 1495.03 / MAX: 1843.12 MIN: 1461.24 / MAX: 1823.91 MIN: 1464.72 / MAX: 1861.45 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU A C D B E 3 6 9 12 15 SE +/- 0.08, N = 3 11.37 11.60 11.60 11.61 11.71 MIN: 10.52 / MAX: 21.67 MIN: 10.53 / MAX: 23.08 MIN: 10.66 / MAX: 22.12 MIN: 10.6 / MAX: 28.3 MIN: 10.26 / MAX: 21.14 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 C B D A E 150 300 450 600 750 SE +/- 0.32, N = 3 692.60 693.78 693.83 695.52 696.40 MIN: 686.95 / MAX: 699.35 MIN: 686.88 / MAX: 717.7 MIN: 684.96 / MAX: 701.04 MIN: 691.3 / MAX: 708.41 MIN: 688.69 / MAX: 721.06 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 C B D A E 3 6 9 12 15 SE +/- 0.01, N = 3 9.09 9.10 9.10 9.13 9.15 MIN: 8.83 / MAX: 25.56 MIN: 8.83 / MAX: 15.74 MIN: 8.85 / MAX: 25.66 MIN: 8.85 / MAX: 16.16 MIN: 8.87 / MAX: 26.46 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 D A C B E 3 6 9 12 15 SE +/- 0.00, N = 3 12.40 12.41 12.42 12.43 12.46 MIN: 10.39 / MAX: 18.88 MIN: 10.44 / MAX: 22.3 MIN: 10.48 / MAX: 15.98 MIN: 10.42 / MAX: 17.91 MIN: 10.39 / MAX: 27.74 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 D C B E 30 60 90 120 150 SE +/- 0.33, N = 3 110.01 110.55 110.84 110.92 111.79 MIN: 85.11 / MAX: 135.51 MIN: 89.56 / MAX: 138.28 MIN: 84.72 / MAX: 133.04 MIN: 92.03 / MAX: 133.28 MIN: 86.68 / MAX: 133.95 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 C B D A E 7 14 21 28 35 SE +/- 0.02, N = 3 27.91 27.92 27.94 28.01 28.08 MIN: 27.1 / MAX: 34.12 MIN: 27.09 / MAX: 44.07 MIN: 27.08 / MAX: 44.05 MIN: 27.19 / MAX: 33.76 MIN: 27.25 / MAX: 44.19 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 C D B E 2 4 6 8 10 SE +/- 0.01, N = 3 7.92 7.92 7.92 7.93 7.94 MIN: 7.59 / MAX: 24.31 MIN: 7.6 / MAX: 12.54 MIN: 7.52 / MAX: 15.54 MIN: 7.45 / MAX: 12.66 MIN: 7.58 / MAX: 38.47 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 B C A D E 0.324 0.648 0.972 1.296 1.62 SE +/- 0.00, N = 3 1.43 1.43 1.44 1.44 1.44 MIN: 1.27 / MAX: 18.12 MIN: 1.25 / MAX: 17.38 MIN: 1.23 / MAX: 17.9 MIN: 1.27 / MAX: 18.07 MIN: 1.26 / MAX: 17.8 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 B C D A E 0.2273 0.4546 0.6819 0.9092 1.1365 SE +/- 0.00, N = 3 1.00 1.00 1.00 1.01 1.01 MIN: 0.95 / MAX: 7.42 MIN: 0.95 / MAX: 7.16 MIN: 0.95 / MAX: 5.25 MIN: 0.95 / MAX: 7.42 MIN: 0.95 / MAX: 17.36 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
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 E C D B A 2 4 6 8 10 SE +/- 0.009, N = 4 7.648 7.653 7.675 7.682 7.698
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 18.8 Time To Compile C D E B A 110 220 330 440 550 SE +/- 0.12, N = 3 495.67 496.20 496.37 497.08 497.19
Timed PHP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 8.1.9 Time To Compile E A D C B 14 28 42 56 70 SE +/- 0.22, N = 3 60.04 60.38 60.49 60.57 60.63
Timed CPython Compilation Build Configuration: Default OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Default A D C E B 5 10 15 20 25 18.36 18.37 18.38 18.39 18.41
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 B D A C E 60 120 180 240 300 272.36 272.49 272.58 272.80 274.59
Timed Erlang/OTP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Erlang/OTP Compilation 25.0 Time To Compile A B E C D 30 60 90 120 150 SE +/- 0.20, N = 3 111.94 112.06 112.59 112.67 113.13
Timed Wasmer Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 2.3 Time To Compile B C A E D 13 26 39 52 65 SE +/- 0.11, N = 3 57.32 57.32 57.35 57.35 57.62 1. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
Phoronix Test Suite v10.8.5