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&grs&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 etcd: RANGE - 50 - 100 - Average Latency etcd: RANGE - 50 - 100 etcd: PUT - 500 - 100 - Average Latency etcd: PUT - 500 - 100 etcd: RANGE - 100 - 100 - Average Latency etcd: PUT - 100 - 100 - Average Latency etcd: RANGE - 100 - 100 etcd: PUT - 50 - 100 - Average Latency etcd: PUT - 100 - 100 etcd: PUT - 50 - 100 etcd: RANGE - 500 - 100 etcd: RANGE - 500 - 100 - Average Latency etcd: RANGE - 500 - 1000 - Average Latency etcd: RANGE - 500 - 1000 etcd: PUT - 500 - 1000 - Average Latency etcd: PUT - 500 - 1000 etcd: PUT - 50 - 1000 - Average Latency mnn: SqueezeNetV1.0 openvino: Vehicle Detection FP16 - CPU mnn: squeezenetv1.1 openvino: Vehicle Detection FP16 - CPU mnn: MobileNetV2_224 compress-7zip: Compression Rating mnn: mobilenetV3 mnn: nasnet openvino: Person Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU graphics-magick: Rotate openvino: Face Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP16 - CPU mnn: resnet-v2-50 graphics-magick: Resizing openvino: Person Detection FP32 - CPU graphics-magick: HWB Color Space openvino: Age Gender Recognition Retail 0013 FP16 - CPU blosc: blosclz shuffle mnn: inception-v3 build-erlang: Time To Compile openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU build-php: Time To Compile openvino: Face Detection FP16 - CPU graphics-magick: Swirl build-python: Released Build, PGO + LTO Optimized graphics-magick: Sharpen openvino: Age Gender Recognition Retail 0013 FP16 - CPU blosc: blosclz bitshuffle openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU unpack-linux: linux-5.19.tar.xz mnn: mobilenet-v1-1.0 openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU graphics-magick: Enhanced openvino: Face Detection FP16-INT8 - CPU build-wasmer: Time To Compile openvino: Face Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU compress-7zip: Decompression Rating graphics-magick: Noise-Gaussian build-nodejs: Time To Compile build-python: Default openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU natron: Spaceship etcd: RANGE - 100 - 1000 - Average Latency etcd: RANGE - 100 - 1000 etcd: RANGE - 50 - 1000 - Average Latency etcd: RANGE - 50 - 1000 etcd: PUT - 100 - 1000 - Average Latency etcd: PUT - 100 - 1000 etcd: PUT - 50 - 1000 A B C D E 3.3 30099.5813 3.3 29940.6161 3.7 3.3 26866.5759 3.3 29893.4342 30093.3858 18991.5239 5.3 14.8 65917.2412 14.7 66273.0768 11 5.421 351.33 3.379 11.37 3.592 84205 2.013 12.978 2.37 110.01 36.32 468 1258.34 1659.89 1668.85 20.177 1688 2.39 729 10973.67 14794.4 27.847 111.939 1.01 60.378 3.16 659 272.578 251 1.44 10091.1 9.13 437.73 7.698 2.698 570.81 28.01 15767.85 364 695.52 57.352 5.74 321.78 12.41 75100 290 497.19 18.361 504.46 7.92 3.3 11.7 84607.3437 11 90098.1995 11.6 85435.5111 90351.7306 6.2 16178.249 6.1 16446.3786 6.2 6 16165.5907 6 16572.2801 16614.8535 16096.4741 6.2 14.8 65709.4541 14.8 65970.6099 11.1 5.566 343.85 3.374 11.61 3.571 82350 2.006 13.061 2.38 110.92 36.04 463 1255.92 1637.81 1661.53 20.064 1674 2.42 722 11065.96 14622.1 27.608 112.06 1 60.627 3.16 657 272.358 251 1.43 10039.2 9.1 439 7.682 2.692 572.41 27.92 15826.05 363 693.78 57.317 5.76 321.18 12.43 74832 289 497.081 18.414 503.24 7.93 3.4 11.7 84592.9072 11 89816.4119 11.7 84546.0612 89723.1316 6.3 15954.5557 6.3 15901.9526 6.2 6.3 16010.0146 6.3 15915.4645 15974.8552 15859.1248 6.3 14.8 65751.5752 14.8 65829.2852 11 5.401 344.15 3.279 11.6 3.542 83291 1.971 12.798 2.39 110.84 36.06 461 1271.04 1641.56 1663.26 20.321 1684 2.41 722 11106.24 14763.6 27.76 112.666 1 60.57 3.14 658 272.803 251 1.43 10074.1 9.09 439.42 7.653 2.7 572.84 27.91 15841.7 364 692.6 57.32 5.77 321.38 12.42 75045 289 495.674 18.379 504.03 7.92 3.3 11.6 84946.7854 11 89932.6944 11.6 84943.43 89853.168 6.4 15613.6585 6.4 15561.3594 6.4 6.4 15511.5642 6.4 15687.9816 15721.3132 15521.4251 6.4 14.8 65750.6546 14.8 65753.4823 11.1 5.541 344.26 3.37 11.6 3.508 84096 2.014 13.057 2.41 110.55 36.15 462 1274.45 1643.31 1645.1 20.069 1673 2.42 723 11031.84 14684.2 27.825 113.131 1 60.49 3.13 657 272.489 251 1.44 10053.4 9.1 438.99 7.675 2.69 572.19 27.94 15834.93 363 693.83 57.618 5.76 321.99 12.4 74994 289 496.204 18.366 504.36 7.92 3.4 11.7 84795.2544 11 90539.5988 11.7 84669.7892 89674.3612 7.4 13528.9582 6.6 15135.4651 7.3 6.5 13662.1831 6.4 15439.5777 15591.5835 12552.8291 8.0 20.5 47997.9506 18.8 52164.5114 13.7 5.380 340.86 3.312 11.71 3.506 83473 1.972 12.810 2.39 111.79 35.75 461 1269.03 1661.55 1654.29 20.032 1666 2.39 720 11013.08 14626.6 27.527 112.594 1.01 60.039 3.14 653 274.585 249 1.44 10021.8 9.15 436.56 7.648 2.683 569.25 28.08 15751.27 362 696.40 57.353 5.74 320.41 12.46 74898 289 496.366 18.387 503.15 7.94 3.3 18.1 55692.0084 17.5 57913.1768 16.0 62573.1546 72969.6471 OpenBenchmarking.org
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: 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: 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: 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: 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: 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: 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: 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 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: 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: 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: 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: 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
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: 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: 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: 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
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
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
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
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
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
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
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: 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
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: 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: 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
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
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 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: 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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: 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
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
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
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: 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: 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
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
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
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
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: 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: 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
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
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
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 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
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: 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
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
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: 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: 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: 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: 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: 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: 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
Phoronix Test Suite v10.8.5