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&grr .
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 - 100 - 100 - Average Latency etcd: RANGE - 100 - 100 build-nodejs: Time To Compile etcd: RANGE - 500 - 100 - Average Latency etcd: RANGE - 500 - 100 etcd: RANGE - 50 - 100 - Average Latency etcd: RANGE - 50 - 100 etcd: PUT - 500 - 100 - Average Latency etcd: PUT - 500 - 100 etcd: PUT - 100 - 100 - Average Latency etcd: PUT - 100 - 100 etcd: PUT - 50 - 100 - Average Latency etcd: PUT - 50 - 100 etcd: RANGE - 500 - 1000 - Average Latency etcd: RANGE - 500 - 1000 etcd: PUT - 500 - 1000 - Average Latency etcd: PUT - 500 - 1000 etcd: RANGE - 100 - 1000 - Average Latency etcd: RANGE - 100 - 1000 etcd: RANGE - 50 - 1000 - Average Latency etcd: RANGE - 50 - 1000 build-python: Released Build, PGO + LTO Optimized etcd: PUT - 100 - 1000 - Average Latency etcd: PUT - 100 - 1000 mnn: inception-v3 mnn: mobilenet-v1-1.0 mnn: MobileNetV2_224 mnn: SqueezeNetV1.0 mnn: resnet-v2-50 mnn: squeezenetv1.1 mnn: mobilenetV3 mnn: nasnet etcd: PUT - 50 - 1000 - Average Latency etcd: PUT - 50 - 1000 build-erlang: Time To Compile natron: Spaceship openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU build-php: Time To Compile openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU graphics-magick: Sharpen graphics-magick: Noise-Gaussian graphics-magick: Enhanced graphics-magick: Swirl graphics-magick: HWB Color Space graphics-magick: Rotate graphics-magick: Resizing build-wasmer: Time To Compile compress-7zip: Decompression Rating compress-7zip: Compression Rating build-python: Default blosc: blosclz bitshuffle unpack-linux: linux-5.19.tar.xz blosc: blosclz shuffle A B C D E 3.7 26866.5759 497.19 5.3 18991.5239 3.3 30099.5813 3.3 29940.6161 3.3 29893.4342 3.3 30093.3858 14.8 65917.2412 14.7 66273.0768 11.7 84607.3437 11 90098.1995 272.578 11.6 85435.5111 27.847 2.698 3.592 5.421 20.177 3.379 2.013 12.978 11 90351.7306 111.939 3.3 1668.85 2.37 1659.89 2.39 1258.34 3.16 695.52 5.74 110.01 36.32 7.92 504.46 12.41 321.78 60.378 9.13 437.73 28.01 570.81 11.37 351.33 1.44 10973.67 1.01 15767.85 251 290 364 659 729 468 1688 57.352 75100 84205 18.361 10091.1 7.698 14794.4 6.2 16165.5907 497.081 6.2 16096.4741 6.2 16178.249 6.1 16446.3786 6 16572.2801 6 16614.8535 14.8 65709.4541 14.8 65970.6099 11.7 84592.9072 11 89816.4119 272.358 11.7 84546.0612 27.608 2.692 3.571 5.566 20.064 3.374 2.006 13.061 11.1 89723.1316 112.06 3.4 1661.53 2.38 1637.81 2.42 1255.92 3.16 693.78 5.76 110.92 36.04 7.93 503.24 12.43 321.18 60.627 9.1 439 27.92 572.41 11.61 343.85 1.43 11065.96 1 15826.05 251 289 363 657 722 463 1674 57.317 74832 82350 18.414 10039.2 7.682 14622.1 6.2 16010.0146 495.674 6.3 15859.1248 6.3 15954.5557 6.3 15901.9526 6.3 15915.4645 6.3 15974.8552 14.8 65751.5752 14.8 65829.2852 11.6 84946.7854 11 89932.6944 272.803 11.6 84943.43 27.76 2.7 3.542 5.401 20.321 3.279 1.971 12.798 11 89853.168 112.666 3.3 1663.26 2.39 1641.56 2.41 1271.04 3.14 692.6 5.77 110.84 36.06 7.92 504.03 12.42 321.38 60.57 9.09 439.42 27.91 572.84 11.6 344.15 1.43 11106.24 1 15841.7 251 289 364 658 722 461 1684 57.32 75045 83291 18.379 10074.1 7.653 14763.6 6.4 15511.5642 496.204 6.4 15521.4251 6.4 15613.6585 6.4 15561.3594 6.4 15687.9816 6.4 15721.3132 14.8 65750.6546 14.8 65753.4823 11.7 84795.2544 11 90539.5988 272.489 11.7 84669.7892 27.825 2.69 3.508 5.541 20.069 3.37 2.014 13.057 11.1 89674.3612 113.131 3.4 1645.1 2.41 1643.31 2.42 1274.45 3.13 693.83 5.76 110.55 36.15 7.92 504.36 12.4 321.99 60.49 9.1 438.99 27.94 572.19 11.6 344.26 1.44 11031.84 1 15834.93 251 289 363 657 723 462 1673 57.618 74994 84096 18.366 10053.4 7.675 14684.2 7.3 13662.1831 496.366 8.0 12552.8291 7.4 13528.9582 6.6 15135.4651 6.5 15439.5777 6.4 15591.5835 20.5 47997.9506 18.8 52164.5114 18.1 55692.0084 17.5 57913.1768 274.585 16.0 62573.1546 27.527 2.683 3.506 5.380 20.032 3.312 1.972 12.810 13.7 72969.6471 112.594 3.3 1654.29 2.39 1661.55 2.39 1269.03 3.14 696.40 5.74 111.79 35.75 7.94 503.15 12.46 320.41 60.039 9.15 436.56 28.08 569.25 11.71 340.86 1.44 11013.08 1.01 15751.27 249 289 362 653 720 461 1666 57.353 74898 83473 18.387 10021.8 7.648 14626.6 OpenBenchmarking.org
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: 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
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 18.8 Time To Compile A B C D E 110 220 330 440 550 SE +/- 0.12, N = 3 497.19 497.08 495.67 496.20 496.37
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: 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: 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: 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: 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 - 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: 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: 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 B C D E 14K 28K 42K 56K 70K SE +/- 337.08, N = 15 65917.24 65709.45 65751.58 65750.65 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: 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 A B C D E 4 8 12 16 20 SE +/- 0.46, N = 15 11.7 11.7 11.6 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 A B C D E 20K 40K 60K 80K 100K SE +/- 1989.42, N = 15 84607.34 84592.91 84946.79 84795.25 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 A B C D E 20K 40K 60K 80K 100K SE +/- 2395.30, N = 15 90098.20 89816.41 89932.69 90539.60 57913.18
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 B C D E 60 120 180 240 300 272.58 272.36 272.80 272.49 274.59
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 B C D E 4 8 12 16 20 SE +/- 0.35, N = 15 11.6 11.7 11.6 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 B C D E 20K 40K 60K 80K 100K SE +/- 1719.86, N = 15 85435.51 84546.06 84943.43 84669.79 62573.15
Mobile Neural Network Model: inception-v3 OpenBenchmarking.org ms, Fewer Is Better Mobile Neural Network 2.1 Model: inception-v3 A B C D E 7 14 21 28 35 SE +/- 0.09, N = 3 27.85 27.61 27.76 27.83 27.53 MIN: 27.42 / MAX: 33.72 MIN: 27.19 / MAX: 34.67 MIN: 27.3 / MAX: 72.79 MIN: 27.33 / MAX: 33.14 MIN: 27.08 / MAX: 47.12 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 B C D E 0.6075 1.215 1.8225 2.43 3.0375 SE +/- 0.024, N = 3 2.698 2.692 2.700 2.690 2.683 MIN: 2.66 / MAX: 3.73 MIN: 2.65 / MAX: 3.77 MIN: 2.66 / MAX: 3.68 MIN: 2.65 / MAX: 3.76 MIN: 2.61 / MAX: 3.75 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 B C D E 0.8082 1.6164 2.4246 3.2328 4.041 SE +/- 0.022, N = 3 3.592 3.571 3.542 3.508 3.506 MIN: 3.55 / MAX: 6.84 MIN: 3.53 / MAX: 4.69 MIN: 3.5 / MAX: 5.07 MIN: 3.47 / MAX: 4.6 MIN: 3.44 / MAX: 9.59 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 B C D E 1.2524 2.5048 3.7572 5.0096 6.262 SE +/- 0.019, N = 3 5.421 5.566 5.401 5.541 5.380 MIN: 5.35 / MAX: 21.72 MIN: 5.51 / MAX: 6.67 MIN: 5.35 / MAX: 6.22 MIN: 5.49 / MAX: 6.76 MIN: 5.3 / MAX: 6.52 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 B C D E 5 10 15 20 25 SE +/- 0.07, N = 3 20.18 20.06 20.32 20.07 20.03 MIN: 19.89 / MAX: 26.06 MIN: 19.82 / MAX: 36.51 MIN: 20.04 / MAX: 36.83 MIN: 19.84 / MAX: 34.96 MIN: 19.6 / MAX: 34.6 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 B C D E 0.7603 1.5206 2.2809 3.0412 3.8015 SE +/- 0.008, N = 3 3.379 3.374 3.279 3.370 3.312 MIN: 3.34 / MAX: 4.37 MIN: 3.33 / MAX: 4.48 MIN: 3.24 / MAX: 4.29 MIN: 3.32 / MAX: 4.47 MIN: 3.26 / MAX: 4.42 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 B C D E 0.4532 0.9064 1.3596 1.8128 2.266 SE +/- 0.009, N = 3 2.013 2.006 1.971 2.014 1.972 MIN: 1.99 / MAX: 3.11 MIN: 1.98 / MAX: 2.75 MIN: 1.94 / MAX: 3.07 MIN: 1.99 / MAX: 2.25 MIN: 1.93 / MAX: 3.06 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 A B C D E 3 6 9 12 15 SE +/- 0.02, N = 3 12.98 13.06 12.80 13.06 12.81 MIN: 12.88 / MAX: 19.14 MIN: 12.97 / MAX: 19.07 MIN: 12.68 / MAX: 19.17 MIN: 12.94 / MAX: 19.32 MIN: 12.68 / MAX: 30.81 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
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 B C D E 4 8 12 16 20 SE +/- 0.21, N = 15 11.0 11.1 11.0 11.1 13.7
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 B C D E 20K 40K 60K 80K 100K SE +/- 1306.71, N = 15 90351.73 89723.13 89853.17 89674.36 72969.65
Timed Erlang/OTP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Erlang/OTP Compilation 25.0 Time To Compile A B C D E 30 60 90 120 150 SE +/- 0.20, N = 3 111.94 112.06 112.67 113.13 112.59
Natron Input: Spaceship OpenBenchmarking.org FPS, More Is Better Natron 2.4.3 Input: Spaceship A B C D E 0.765 1.53 2.295 3.06 3.825 SE +/- 0.06, N = 12 3.3 3.4 3.3 3.4 3.3
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU A B C D E 400 800 1200 1600 2000 SE +/- 9.27, N = 3 1668.85 1661.53 1663.26 1645.10 1654.29 MIN: 1447.91 / MAX: 1780.07 MIN: 1480.92 / MAX: 1803.33 MIN: 1482.48 / MAX: 1805.04 MIN: 1489.68 / MAX: 1839.49 MIN: 1481.86 / MAX: 1868.97 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 A B C D E 0.5423 1.0846 1.6269 2.1692 2.7115 SE +/- 0.01, N = 3 2.37 2.38 2.39 2.41 2.39 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 A B C D E 400 800 1200 1600 2000 SE +/- 11.54, N = 3 1659.89 1637.81 1641.56 1643.31 1661.55 MIN: 1461.24 / MAX: 1823.91 MIN: 1490.45 / MAX: 1850.31 MIN: 1477.93 / MAX: 1797.33 MIN: 1495.03 / MAX: 1843.12 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 FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU A B C D E 0.5445 1.089 1.6335 2.178 2.7225 SE +/- 0.02, N = 3 2.39 2.42 2.41 2.42 2.39 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU A B C D E 300 600 900 1200 1500 SE +/- 1.95, N = 3 1258.34 1255.92 1271.04 1274.45 1269.03 MIN: 1201.93 / MAX: 1341.23 MIN: 1206.49 / MAX: 1356.42 MIN: 1241.13 / MAX: 1380.49 MIN: 1226.87 / MAX: 1355.68 MIN: 1210.75 / MAX: 1378.29 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU A B C D E 0.711 1.422 2.133 2.844 3.555 SE +/- 0.00, N = 3 3.16 3.16 3.14 3.13 3.14 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 A B C D E 150 300 450 600 750 SE +/- 0.32, N = 3 695.52 693.78 692.60 693.83 696.40 MIN: 691.3 / MAX: 708.41 MIN: 686.88 / MAX: 717.7 MIN: 686.95 / MAX: 699.35 MIN: 684.96 / MAX: 701.04 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: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16-INT8 - Device: CPU A B C D E 1.2983 2.5966 3.8949 5.1932 6.4915 SE +/- 0.00, N = 3 5.74 5.76 5.77 5.76 5.74 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 B C D E 30 60 90 120 150 SE +/- 0.33, N = 3 110.01 110.92 110.84 110.55 111.79 MIN: 85.11 / MAX: 135.51 MIN: 92.03 / MAX: 133.28 MIN: 84.72 / MAX: 133.04 MIN: 89.56 / MAX: 138.28 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 B C D E 8 16 24 32 40 SE +/- 0.10, N = 3 36.32 36.04 36.06 36.15 35.75 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 B C D E 2 4 6 8 10 SE +/- 0.01, N = 3 7.92 7.93 7.92 7.92 7.94 MIN: 7.59 / MAX: 24.31 MIN: 7.45 / MAX: 12.66 MIN: 7.6 / MAX: 12.54 MIN: 7.52 / MAX: 15.54 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: 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 B C D E 110 220 330 440 550 SE +/- 0.63, N = 3 504.46 503.24 504.03 504.36 503.15 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 A B C D E 3 6 9 12 15 SE +/- 0.00, N = 3 12.41 12.43 12.42 12.40 12.46 MIN: 10.44 / MAX: 22.3 MIN: 10.42 / MAX: 17.91 MIN: 10.48 / MAX: 15.98 MIN: 10.39 / MAX: 18.88 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: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU A B C D E 70 140 210 280 350 SE +/- 0.08, N = 3 321.78 321.18 321.38 321.99 320.41 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 A B C D E 14 28 42 56 70 SE +/- 0.22, N = 3 60.38 60.63 60.57 60.49 60.04
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 B C D E 3 6 9 12 15 SE +/- 0.01, N = 3 9.13 9.10 9.09 9.10 9.15 MIN: 8.85 / MAX: 16.16 MIN: 8.83 / MAX: 15.74 MIN: 8.83 / MAX: 25.56 MIN: 8.85 / MAX: 25.66 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 A B C D E 100 200 300 400 500 SE +/- 0.31, N = 3 437.73 439.00 439.42 438.99 436.56 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16-INT8 - Device: CPU A B C D E 7 14 21 28 35 SE +/- 0.02, N = 3 28.01 27.92 27.91 27.94 28.08 MIN: 27.19 / MAX: 33.76 MIN: 27.09 / MAX: 44.07 MIN: 27.1 / MAX: 34.12 MIN: 27.08 / MAX: 44.05 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: 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 B C D E 120 240 360 480 600 SE +/- 0.37, N = 3 570.81 572.41 572.84 572.19 569.25 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 B C D E 3 6 9 12 15 SE +/- 0.08, N = 3 11.37 11.61 11.60 11.60 11.71 MIN: 10.52 / MAX: 21.67 MIN: 10.6 / MAX: 28.3 MIN: 10.53 / MAX: 23.08 MIN: 10.66 / MAX: 22.12 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: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU A B C D E 80 160 240 320 400 SE +/- 2.43, N = 3 351.33 343.85 344.15 344.26 340.86 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 A B C D E 0.324 0.648 0.972 1.296 1.62 SE +/- 0.00, N = 3 1.44 1.43 1.43 1.44 1.44 MIN: 1.23 / MAX: 17.9 MIN: 1.27 / MAX: 18.12 MIN: 1.25 / MAX: 17.38 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 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU A B C D E 2K 4K 6K 8K 10K SE +/- 33.81, N = 3 10973.67 11065.96 11106.24 11031.84 11013.08 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 A B C D E 0.2273 0.4546 0.6819 0.9092 1.1365 SE +/- 0.00, N = 3 1.01 1.00 1.00 1.00 1.01 MIN: 0.95 / MAX: 7.42 MIN: 0.95 / MAX: 7.42 MIN: 0.95 / MAX: 7.16 MIN: 0.95 / MAX: 5.25 MIN: 0.95 / MAX: 17.36 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 A B C D E 3K 6K 9K 12K 15K SE +/- 1.59, N = 3 15767.85 15826.05 15841.70 15834.93 15751.27 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Sharpen A B C D 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: Noise-Gaussian OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Noise-Gaussian A B C D E 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: Enhanced OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced A B C D E 80 160 240 320 400 SE +/- 0.33, N = 3 364 363 364 363 362 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 A B C D E 140 280 420 560 700 SE +/- 1.20, N = 3 659 657 658 657 653 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 B C D E 160 320 480 640 800 SE +/- 0.58, N = 3 729 722 722 723 720 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 C D E 100 200 300 400 500 SE +/- 0.33, N = 3 468 463 461 462 461 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 B C D E 400 800 1200 1600 2000 SE +/- 3.67, N = 3 1688 1674 1684 1673 1666 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 A B C D E 13 26 39 52 65 SE +/- 0.11, N = 3 57.35 57.32 57.32 57.62 57.35 1. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating A B C D E 16K 32K 48K 64K 80K SE +/- 23.02, N = 3 75100 74832 75045 74994 74898 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating A B C D E 20K 40K 60K 80K 100K SE +/- 30.72, N = 3 84205 82350 83291 84096 83473 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Timed CPython Compilation Build Configuration: Default OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Default A B C D E 5 10 15 20 25 18.36 18.41 18.38 18.37 18.39
C-Blosc Test: blosclz bitshuffle OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.3 Test: blosclz bitshuffle A B C D E 2K 4K 6K 8K 10K SE +/- 4.68, N = 3 10091.1 10039.2 10074.1 10053.4 10021.8 1. (CC) gcc options: -std=gnu99 -O3 -lrt -lm
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 B C D E 2 4 6 8 10 SE +/- 0.009, N = 4 7.698 7.682 7.653 7.675 7.648
C-Blosc Test: blosclz shuffle OpenBenchmarking.org MB/s, More Is Better C-Blosc 2.3 Test: blosclz shuffle A B C D E 3K 6K 9K 12K 15K SE +/- 39.75, N = 3 14794.4 14622.1 14763.6 14684.2 14626.6 1. (CC) gcc options: -std=gnu99 -O3 -lrt -lm
Phoronix Test Suite v10.8.5