ryzen 7 3700x dec AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2012245-HA-RYZEN737018&gru .
ryzen 7 3700x dec Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution 1 2 3 4 AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads) Gigabyte A320M-S2H-CF (F52a BIOS) AMD Starship/Matisse 8GB 240GB TOSHIBA RC100 HIS AMD Radeon HD 7750/8740 / R7 250E 1GB AMD Oland/Hainan/Cape VA2431 Realtek RTL8111/8168/8411 Ubuntu 20.04 5.8.1-050801-generic (x86_64) GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.5 Mesa 20.0.8 (LLVM 10.0.0) GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --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-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 Processor Details - Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021 Python Details - Python 3.8.5 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
ryzen 7 3700x dec openvino: Face Detection 0106 FP16 - CPU openvino: Face Detection 0106 FP32 - CPU openvino: Person Detection 0106 FP16 - CPU openvino: Person Detection 0106 FP32 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP32 - CPU rav1e: 1 rav1e: 5 rav1e: 6 rav1e: 10 simdjson: Kostya simdjson: LargeRand simdjson: PartialTweets simdjson: DistinctUserID hpcg: coremark: CoreMark Size 666 - Iterations Per Second compress-lz4: 1 - Compression Speed compress-lz4: 1 - Decompression Speed compress-lz4: 3 - Compression Speed compress-lz4: 3 - Decompression Speed compress-lz4: 9 - Compression Speed compress-lz4: 9 - Decompression Speed crafty: Elapsed Time stockfish: Total Time asmfish: 1024 Hash Memory, 26 Depth node-web-tooling: phpbench: PHP Benchmark Suite clomp: Static OMP Speedup brl-cad: VGR Performance Metric onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: CPU - squeezenet_ssd ncnn: CPU - regnety_400m openvino: Face Detection 0106 FP16 - CPU openvino: Face Detection 0106 FP32 - CPU openvino: Person Detection 0106 FP16 - CPU openvino: Person Detection 0106 FP32 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP32 - CPU hmmer: Pfam Database Search build-clash: Time To Compile build-ffmpeg: Time To Compile build2: Time To Compile build-eigen: Time To Compile encode-ape: WAV To APE encode-ogg: WAV To Ogg encode-opus: WAV To Opus Encode astcenc: Fast astcenc: Medium astcenc: Thorough astcenc: Exhaustive sqlite-speedtest: Timed Time - Size 1,000 encode-wavpack: WAV To WavPack unpack-firefox: firefox-84.0.source.tar.xz 1 2 3 4 1.90 1.88 1.50 1.52 6575.88 6689.73 0.402 1.186 1.587 3.457 0.59 0.43 0.69 0.7 4.15940 353574.858058 9360.33 10310.6 51.50 9919.0 50.69 9942.5 8546471 20160779 27502562 12.06 674200 23.0 120993 6.41982 9.36757 2.59978 1.92313 21.8821 5.46401 6.98587 20.3999 6.51376 5.32109 3822.92 2647.28 3848.17 2870.93 4.18422 3905.20 2691.72 2.95246 19.21 6.18 5.23 6.72 5.14 8.14 2.38 17.02 67.04 17.87 14.20 32.59 28.75 23.51 18.67 2105.37 2125.78 2640.59 2589.43 0.60 0.59 107.499 248.032 56.277 119.006 74.181 11.565 18.840 7.194 5.97 8.68 26.68 215.92 59.241 12.624 18.129 1.91 1.88 1.53 1.51 6385.20 6618.49 0.402 1.183 1.586 3.450 0.59 0.42 0.68 0.70 4.13952 353496.410708 9307.53 10300.3 50.73 9895.1 49.77 9964.5 8920559 19613677 27582263 12.13 669279 23.4 119540 5.63807 9.21133 2.62207 2.24347 22.5039 5.09666 6.73147 20.5986 6.43594 5.30594 3843.11 2716.83 3841.65 2680.98 4.46430 3828.39 2671.70 2.90638 19.36 6.12 5.18 6.70 5.11 8.16 2.38 17.14 67.23 17.96 14.19 32.61 29.07 23.63 18.66 2092.82 2128.47 2586.64 2600.09 0.62 0.60 107.861 249.576 56.166 118.888 74.094 11.601 18.899 7.213 6.02 8.69 26.70 216.19 59.934 12.596 18.224 1.89 1.88 1.53 1.52 6637.86 6784.44 0.398 1.185 1.582 3.447 0.59 0.43 0.67 0.70 4.14396 352288.838866 9368.21 10277.4 51.59 9901.3 50.47 9943.8 8893425 19737025 27974508 12.17 670904 23.4 121138 5.71737 9.43065 2.61510 2.35658 22.1752 5.14679 6.76584 20.9056 6.37617 5.26936 3876.27 2700.05 3906.57 2686.22 4.42827 3885.91 2656.26 2.86008 19.27 6.20 5.25 6.71 5.13 8.17 2.31 16.86 67.05 17.80 14.22 32.76 29.08 23.41 18.69 2107.64 2120.16 2584.40 2598.96 0.59 0.58 108.068 247.213 56.009 117.139 74.084 11.502 18.846 7.204 6.11 8.69 26.64 215.24 59.490 12.508 18.395 1.91 1.88 1.53 1.50 6685.19 6715.20 0.400 1.178 1.582 3.455 0.59 0.43 0.68 0.70 4.18942 355783.638913 9333.49 10229.8 52.10 9944.8 50.16 9903.2 8823060 19931000 27935855 12.09 668752 23.2 122061 5.47702 9.22956 2.60889 2.32680 22.7344 5.06969 6.69818 20.6116 6.33997 5.28923 3804.05 2668.89 3828.50 2877.16 4.92533 3872.86 2707.27 2.84703 19.28 6.19 5.25 6.69 5.16 8.13 2.33 16.96 66.95 17.86 14.21 32.58 29.05 23.34 18.67 2092.01 2129.83 2579.88 2601.17 0.59 0.59 107.122 245.507 56.453 119.841 73.346 11.518 18.773 7.212 5.99 8.69 26.64 214.69 59.413 12.464 18.779 OpenBenchmarking.org
OpenVINO Model: Face Detection 0106 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU 1 2 3 4 0.4298 0.8596 1.2894 1.7192 2.149 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.90 1.91 1.89 1.91
OpenVINO Model: Face Detection 0106 FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU 1 2 3 4 0.423 0.846 1.269 1.692 2.115 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.88 1.88 1.88 1.88
OpenVINO Model: Person Detection 0106 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU 1 2 3 4 0.3443 0.6886 1.0329 1.3772 1.7215 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 1.50 1.53 1.53 1.53
OpenVINO Model: Person Detection 0106 FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU 1 2 3 4 0.342 0.684 1.026 1.368 1.71 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 1.52 1.51 1.52 1.50
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 1 2 3 4 1400 2800 4200 5600 7000 SE +/- 104.51, N = 3 SE +/- 45.76, N = 3 SE +/- 37.70, N = 3 SE +/- 48.76, N = 3 6575.88 6385.20 6637.86 6685.19
OpenVINO Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU 1 2 3 4 1500 3000 4500 6000 7500 SE +/- 45.45, N = 3 SE +/- 24.26, N = 3 SE +/- 15.68, N = 3 SE +/- 68.15, N = 3 6689.73 6618.49 6784.44 6715.20
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 1 1 2 3 4 0.0905 0.181 0.2715 0.362 0.4525 SE +/- 0.001, N = 3 SE +/- 0.000, N = 3 SE +/- 0.005, N = 3 SE +/- 0.001, N = 3 0.402 0.402 0.398 0.400
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 5 1 2 3 4 0.2669 0.5338 0.8007 1.0676 1.3345 SE +/- 0.002, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.003, N = 3 1.186 1.183 1.185 1.178
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 6 1 2 3 4 0.3571 0.7142 1.0713 1.4284 1.7855 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 1.587 1.586 1.582 1.582
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 10 1 2 3 4 0.7778 1.5556 2.3334 3.1112 3.889 SE +/- 0.009, N = 3 SE +/- 0.016, N = 3 SE +/- 0.010, N = 3 SE +/- 0.020, N = 3 3.457 3.450 3.447 3.455
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: Kostya 1 2 3 4 0.1328 0.2656 0.3984 0.5312 0.664 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.59 0.59 0.59 0.59 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: LargeRandom OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: LargeRandom 1 2 3 4 0.0968 0.1936 0.2904 0.3872 0.484 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.43 0.42 0.43 0.43 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: PartialTweets OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: PartialTweets 1 2 3 4 0.1553 0.3106 0.4659 0.6212 0.7765 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.69 0.68 0.67 0.68 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: DistinctUserID 1 2 3 4 0.1575 0.315 0.4725 0.63 0.7875 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 0.70 0.70 0.70 0.70 1. (CXX) g++ options: -O3 -pthread
High Performance Conjugate Gradient OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 1 2 3 4 0.9426 1.8852 2.8278 3.7704 4.713 SE +/- 0.01048, N = 3 SE +/- 0.00654, N = 3 SE +/- 0.00914, N = 3 SE +/- 0.00261, N = 3 4.15940 4.13952 4.14396 4.18942 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second 1 2 3 4 80K 160K 240K 320K 400K SE +/- 433.03, N = 3 SE +/- 1791.95, N = 3 SE +/- 551.56, N = 3 SE +/- 2489.73, N = 3 353574.86 353496.41 352288.84 355783.64 1. (CC) gcc options: -O2 -lrt" -lrt
LZ4 Compression Compression Level: 1 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed 1 2 3 4 2K 4K 6K 8K 10K SE +/- 28.64, N = 3 SE +/- 35.67, N = 3 SE +/- 58.52, N = 3 SE +/- 17.75, N = 3 9360.33 9307.53 9368.21 9333.49 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 1 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Decompression Speed 1 2 3 4 2K 4K 6K 8K 10K SE +/- 75.38, N = 3 SE +/- 29.70, N = 3 SE +/- 20.35, N = 3 SE +/- 16.57, N = 3 10310.6 10300.3 10277.4 10229.8 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 3 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Compression Speed 1 2 3 4 12 24 36 48 60 SE +/- 0.13, N = 3 SE +/- 0.43, N = 3 SE +/- 0.61, N = 3 SE +/- 0.80, N = 3 51.50 50.73 51.59 52.10 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 3 - Decompression Speed 1 2 3 4 2K 4K 6K 8K 10K SE +/- 22.08, N = 3 SE +/- 28.51, N = 3 SE +/- 18.23, N = 3 SE +/- 31.18, N = 3 9919.0 9895.1 9901.3 9944.8 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 9 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Compression Speed 1 2 3 4 11 22 33 44 55 SE +/- 0.61, N = 3 SE +/- 0.09, N = 3 SE +/- 0.56, N = 3 SE +/- 0.24, N = 3 50.69 49.77 50.47 50.16 1. (CC) gcc options: -O3
LZ4 Compression Compression Level: 9 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 9 - Decompression Speed 1 2 3 4 2K 4K 6K 8K 10K SE +/- 34.85, N = 3 SE +/- 13.58, N = 3 SE +/- 11.11, N = 3 SE +/- 20.54, N = 3 9942.5 9964.5 9943.8 9903.2 1. (CC) gcc options: -O3
Crafty Elapsed Time OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time 1 2 3 4 2M 4M 6M 8M 10M SE +/- 40721.86, N = 3 SE +/- 23311.86, N = 3 SE +/- 39685.50, N = 3 SE +/- 10375.27, N = 3 8546471 8920559 8893425 8823060 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time 1 2 3 4 4M 8M 12M 16M 20M SE +/- 110311.00, N = 3 SE +/- 217803.95, N = 3 SE +/- 129535.89, N = 3 SE +/- 210476.75, N = 3 20160779 19613677 19737025 19931000 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth 1 2 3 4 6M 12M 18M 24M 30M SE +/- 236042.73, N = 3 SE +/- 392976.00, N = 4 SE +/- 375615.15, N = 3 SE +/- 413508.74, N = 3 27502562 27582263 27974508 27935855
Node.js V8 Web Tooling Benchmark OpenBenchmarking.org runs/s, More Is Better Node.js V8 Web Tooling Benchmark 1 2 3 4 3 6 9 12 15 SE +/- 0.11, N = 3 SE +/- 0.14, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 12.06 12.13 12.17 12.09 1. Nodejs
v10.19.0
PHPBench PHP Benchmark Suite OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite 1 2 3 4 140K 280K 420K 560K 700K SE +/- 847.75, N = 3 SE +/- 2076.23, N = 3 SE +/- 3673.00, N = 3 SE +/- 2049.04, N = 3 674200 669279 670904 668752
CLOMP Static OMP Speedup OpenBenchmarking.org Speedup, More Is Better CLOMP 1.2 Static OMP Speedup 1 2 3 4 6 12 18 24 30 SE +/- 0.33, N = 4 SE +/- 0.15, N = 3 SE +/- 0.25, N = 3 SE +/- 0.09, N = 3 23.0 23.4 23.4 23.2 1. (CC) gcc options: -fopenmp -O3 -lm
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.30.8 VGR Performance Metric 1 2 3 4 30K 60K 90K 120K 150K 120993 119540 121138 122061 1. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 1 2 3 4 2 4 6 8 10 SE +/- 0.03713, N = 3 SE +/- 0.02140, N = 3 SE +/- 0.09674, N = 3 SE +/- 0.01309, N = 3 6.41982 5.63807 5.71737 5.47702 MIN: 6.16 MIN: 5.46 MIN: 5.44 MIN: 5.33 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 1 2 3 4 3 6 9 12 15 SE +/- 0.02026, N = 3 SE +/- 0.03208, N = 3 SE +/- 0.00670, N = 3 SE +/- 0.00920, N = 3 9.36757 9.21133 9.43065 9.22956 MIN: 8.65 MIN: 8.73 MIN: 8.94 MIN: 8.81 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU 1 2 3 4 0.59 1.18 1.77 2.36 2.95 SE +/- 0.00707, N = 3 SE +/- 0.00999, N = 3 SE +/- 0.00458, N = 3 SE +/- 0.00294, N = 3 2.59978 2.62207 2.61510 2.60889 MIN: 2.54 MIN: 2.53 MIN: 2.55 MIN: 2.55 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU 1 2 3 4 0.5302 1.0604 1.5906 2.1208 2.651 SE +/- 0.01532, N = 3 SE +/- 0.00242, N = 3 SE +/- 0.00400, N = 3 SE +/- 0.00821, N = 3 1.92313 2.24347 2.35658 2.32680 MIN: 1.77 MIN: 2.16 MIN: 2.27 MIN: 2.26 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 1 2 3 4 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 21.88 22.50 22.18 22.73 MIN: 21.72 MIN: 22.23 MIN: 21.92 MIN: 22.57 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 1 2 3 4 1.2294 2.4588 3.6882 4.9176 6.147 SE +/- 0.06268, N = 3 SE +/- 0.01540, N = 3 SE +/- 0.03943, N = 3 SE +/- 0.02681, N = 3 5.46401 5.09666 5.14679 5.06969 MIN: 5.24 MIN: 4.97 MIN: 4.96 MIN: 4.93 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 1 2 3 4 2 4 6 8 10 SE +/- 0.00565, N = 3 SE +/- 0.01088, N = 3 SE +/- 0.03140, N = 3 SE +/- 0.00633, N = 3 6.98587 6.73147 6.76584 6.69818 MIN: 6.9 MIN: 6.65 MIN: 6.66 MIN: 6.61 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 1 2 3 4 5 10 15 20 25 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.08, N = 3 20.40 20.60 20.91 20.61 MIN: 19.84 MIN: 20.17 MIN: 20.6 MIN: 20.13 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU 1 2 3 4 2 4 6 8 10 SE +/- 0.09124, N = 4 SE +/- 0.04033, N = 3 SE +/- 0.01483, N = 3 SE +/- 0.00504, N = 3 6.51376 6.43594 6.37617 6.33997 MIN: 6.15 MIN: 6.16 MIN: 6.19 MIN: 6.13 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 1 2 3 4 1.1972 2.3944 3.5916 4.7888 5.986 SE +/- 0.00290, N = 3 SE +/- 0.01452, N = 3 SE +/- 0.01044, N = 3 SE +/- 0.00180, N = 3 5.32109 5.30594 5.26936 5.28923 MIN: 5.19 MIN: 5.15 MIN: 5.13 MIN: 5.14 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 1 2 3 4 800 1600 2400 3200 4000 SE +/- 15.33, N = 3 SE +/- 10.50, N = 3 SE +/- 7.78, N = 3 SE +/- 9.46, N = 3 3822.92 3843.11 3876.27 3804.05 MIN: 3794.35 MIN: 3822.5 MIN: 3849.36 MIN: 3774.53 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 1 2 3 4 600 1200 1800 2400 3000 SE +/- 6.44, N = 3 SE +/- 7.32, N = 3 SE +/- 13.71, N = 3 SE +/- 3.97, N = 3 2647.28 2716.83 2700.05 2668.89 MIN: 2623.28 MIN: 2679.78 MIN: 2664.68 MIN: 2653.57 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU 1 2 3 4 800 1600 2400 3200 4000 SE +/- 3.51, N = 3 SE +/- 7.95, N = 3 SE +/- 7.82, N = 3 SE +/- 10.35, N = 3 3848.17 3841.65 3906.57 3828.50 MIN: 3835.87 MIN: 3822.65 MIN: 3881.33 MIN: 3796.66 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU 1 2 3 4 600 1200 1800 2400 3000 SE +/- 164.47, N = 15 SE +/- 18.41, N = 3 SE +/- 26.06, N = 3 SE +/- 112.58, N = 15 2870.93 2680.98 2686.22 2877.16 MIN: 2616.42 MIN: 2639.83 MIN: 2623.98 MIN: 2678.01 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 1 2 3 4 1.1082 2.2164 3.3246 4.4328 5.541 SE +/- 0.00828, N = 3 SE +/- 0.00615, N = 3 SE +/- 0.02300, N = 3 SE +/- 0.01211, N = 3 4.18422 4.46430 4.42827 4.92533 MIN: 4.11 MIN: 4.37 MIN: 4.29 MIN: 4.78 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU 1 2 3 4 800 1600 2400 3200 4000 SE +/- 9.21, N = 3 SE +/- 15.67, N = 3 SE +/- 18.76, N = 3 SE +/- 13.24, N = 3 3905.20 3828.39 3885.91 3872.86 MIN: 3873.81 MIN: 3789.68 MIN: 3857.9 MIN: 3841.97 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 1 2 3 4 600 1200 1800 2400 3000 SE +/- 16.87, N = 3 SE +/- 11.78, N = 3 SE +/- 21.78, N = 3 SE +/- 17.38, N = 3 2691.72 2671.70 2656.26 2707.27 MIN: 2656.78 MIN: 2634.62 MIN: 2609.52 MIN: 2664.29 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU 1 2 3 4 0.6643 1.3286 1.9929 2.6572 3.3215 SE +/- 0.01867, N = 3 SE +/- 0.02849, N = 3 SE +/- 0.02222, N = 3 SE +/- 0.00316, N = 3 2.95246 2.90638 2.86008 2.84703 MIN: 2.78 MIN: 2.78 MIN: 2.74 MIN: 2.79 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mobilenet 1 2 3 4 5 10 15 20 25 SE +/- 0.16, N = 3 SE +/- 0.17, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 19.21 19.36 19.27 19.28 MIN: 18.78 / MAX: 21.15 MIN: 18.77 / MAX: 35.98 MIN: 18.88 / MAX: 44.34 MIN: 18.9 / MAX: 29.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v2-v2 - Model: mobilenet-v2 1 2 3 4 2 4 6 8 10 SE +/- 0.02, N = 3 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 6.18 6.12 6.20 6.19 MIN: 6.06 / MAX: 8.19 MIN: 5.85 / MAX: 7.6 MIN: 6.09 / MAX: 8.16 MIN: 6.03 / MAX: 10.92 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU-v3-v3 - Model: mobilenet-v3 1 2 3 4 1.1813 2.3626 3.5439 4.7252 5.9065 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 5.23 5.18 5.25 5.25 MIN: 5.15 / MAX: 6.2 MIN: 4.98 / MAX: 6.67 MIN: 5.16 / MAX: 10.04 MIN: 5.12 / MAX: 14.04 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: shufflenet-v2 1 2 3 4 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 6.72 6.70 6.71 6.69 MIN: 6.65 / MAX: 7.66 MIN: 6.61 / MAX: 7.44 MIN: 6.63 / MAX: 7.73 MIN: 6.58 / MAX: 7.67 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mnasnet 1 2 3 4 1.161 2.322 3.483 4.644 5.805 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 5.14 5.11 5.13 5.16 MIN: 5.05 / MAX: 6.45 MIN: 5.01 / MAX: 6.04 MIN: 5.04 / MAX: 6.51 MIN: 5.06 / MAX: 6.5 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: efficientnet-b0 1 2 3 4 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 8.14 8.16 8.17 8.13 MIN: 8.02 / MAX: 8.83 MIN: 7.88 / MAX: 9.12 MIN: 8.06 / MAX: 8.32 MIN: 8.03 / MAX: 8.49 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: blazeface 1 2 3 4 0.5355 1.071 1.6065 2.142 2.6775 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 2.38 2.38 2.31 2.33 MIN: 2.27 / MAX: 19.28 MIN: 2.27 / MAX: 2.52 MIN: 2.25 / MAX: 2.91 MIN: 2.27 / MAX: 2.43 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: googlenet 1 2 3 4 4 8 12 16 20 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 17.02 17.14 16.86 16.96 MIN: 16.66 / MAX: 19.25 MIN: 16.66 / MAX: 17.83 MIN: 16.71 / MAX: 17.29 MIN: 16.69 / MAX: 17.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: vgg16 1 2 3 4 15 30 45 60 75 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 SE +/- 0.12, N = 3 67.04 67.23 67.05 66.95 MIN: 66.37 / MAX: 76.88 MIN: 66.76 / MAX: 69.07 MIN: 66.64 / MAX: 85.47 MIN: 66.49 / MAX: 77.52 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet18 1 2 3 4 4 8 12 16 20 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 17.87 17.96 17.80 17.86 MIN: 17.67 / MAX: 19.64 MIN: 17.69 / MAX: 18.83 MIN: 17.69 / MAX: 18.2 MIN: 17.69 / MAX: 19.08 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: alexnet 1 2 3 4 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 14.20 14.19 14.22 14.21 MIN: 14 / MAX: 14.91 MIN: 14.01 / MAX: 17.99 MIN: 14.02 / MAX: 29.08 MIN: 13.97 / MAX: 34.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: resnet50 1 2 3 4 8 16 24 32 40 SE +/- 0.18, N = 3 SE +/- 0.24, N = 3 SE +/- 0.27, N = 3 SE +/- 0.20, N = 3 32.59 32.61 32.76 32.58 MIN: 32.08 / MAX: 33.46 MIN: 31.97 / MAX: 34.1 MIN: 32.03 / MAX: 34.5 MIN: 32.05 / MAX: 36.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: yolov4-tiny 1 2 3 4 7 14 21 28 35 SE +/- 0.52, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 SE +/- 0.06, N = 3 28.75 29.07 29.08 29.05 MIN: 27.61 / MAX: 64.45 MIN: 28.75 / MAX: 29.65 MIN: 28.89 / MAX: 29.73 MIN: 28.82 / MAX: 29.73 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: squeezenet_ssd 1 2 3 4 6 12 18 24 30 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 23.51 23.63 23.41 23.34 MIN: 23.25 / MAX: 25.8 MIN: 23.22 / MAX: 24.08 MIN: 23.19 / MAX: 25.44 MIN: 23.02 / MAX: 43.03 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: regnety_400m 1 2 3 4 5 10 15 20 25 SE +/- 0.02, N = 3 SE +/- 0.13, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 18.67 18.66 18.69 18.67 MIN: 18.49 / MAX: 19.91 MIN: 18.24 / MAX: 19.92 MIN: 18.54 / MAX: 19.88 MIN: 18.39 / MAX: 19.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO Model: Face Detection 0106 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU 1 2 3 4 500 1000 1500 2000 2500 SE +/- 10.65, N = 3 SE +/- 10.32, N = 3 SE +/- 3.44, N = 3 SE +/- 4.55, N = 3 2105.37 2092.82 2107.64 2092.01
OpenVINO Model: Face Detection 0106 FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU 1 2 3 4 500 1000 1500 2000 2500 SE +/- 7.97, N = 3 SE +/- 10.63, N = 3 SE +/- 12.17, N = 3 SE +/- 5.04, N = 3 2125.78 2128.47 2120.16 2129.83
OpenVINO Model: Person Detection 0106 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU 1 2 3 4 600 1200 1800 2400 3000 SE +/- 53.72, N = 3 SE +/- 5.45, N = 3 SE +/- 3.37, N = 3 SE +/- 1.17, N = 3 2640.59 2586.64 2584.40 2579.88
OpenVINO Model: Person Detection 0106 FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU 1 2 3 4 600 1200 1800 2400 3000 SE +/- 2.01, N = 3 SE +/- 12.53, N = 3 SE +/- 10.76, N = 3 SE +/- 11.32, N = 3 2589.43 2600.09 2598.96 2601.17
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 1 2 3 4 0.1395 0.279 0.4185 0.558 0.6975 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 0.60 0.62 0.59 0.59
OpenVINO Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU 1 2 3 4 0.135 0.27 0.405 0.54 0.675 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 0.59 0.60 0.58 0.59
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search 1 2 3 4 20 40 60 80 100 SE +/- 0.21, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 SE +/- 0.02, N = 3 107.50 107.86 108.07 107.12 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Timed Clash Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Clash Compilation Time To Compile 1 2 3 4 50 100 150 200 250 SE +/- 2.91, N = 3 SE +/- 3.62, N = 3 SE +/- 2.51, N = 3 SE +/- 1.63, N = 3 248.03 249.58 247.21 245.51
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile 1 2 3 4 13 26 39 52 65 SE +/- 0.35, N = 3 SE +/- 0.79, N = 3 SE +/- 0.30, N = 3 SE +/- 0.38, N = 3 56.28 56.17 56.01 56.45
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile 1 2 3 4 30 60 90 120 150 SE +/- 0.53, N = 3 SE +/- 0.87, N = 3 SE +/- 0.68, N = 3 SE +/- 0.61, N = 3 119.01 118.89 117.14 119.84
Timed Eigen Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Eigen Compilation 3.3.9 Time To Compile 1 2 3 4 16 32 48 64 80 SE +/- 0.37, N = 3 SE +/- 0.35, N = 3 SE +/- 0.46, N = 3 SE +/- 0.27, N = 3 74.18 74.09 74.08 73.35
Monkey Audio Encoding WAV To APE OpenBenchmarking.org Seconds, Fewer Is Better Monkey Audio Encoding 3.99.6 WAV To APE 1 2 3 4 3 6 9 12 15 SE +/- 0.03, N = 5 SE +/- 0.02, N = 5 SE +/- 0.06, N = 5 SE +/- 0.04, N = 5 11.57 11.60 11.50 11.52 1. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
Ogg Audio Encoding WAV To Ogg OpenBenchmarking.org Seconds, Fewer Is Better Ogg Audio Encoding 1.3.4 WAV To Ogg 1 2 3 4 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 18.84 18.90 18.85 18.77 1. (CC) gcc options: -O2 -ffast-math -fsigned-char
Opus Codec Encoding WAV To Opus Encode OpenBenchmarking.org Seconds, Fewer Is Better Opus Codec Encoding 1.3.1 WAV To Opus Encode 1 2 3 4 2 4 6 8 10 SE +/- 0.026, N = 5 SE +/- 0.035, N = 5 SE +/- 0.021, N = 5 SE +/- 0.025, N = 5 7.194 7.213 7.204 7.212 1. (CXX) g++ options: -fvisibility=hidden -logg -lm
ASTC Encoder Preset: Fast OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast 1 2 3 4 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.03, N = 3 5.97 6.02 6.11 5.99 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
ASTC Encoder Preset: Medium OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium 1 2 3 4 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 8.68 8.69 8.69 8.69 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
ASTC Encoder Preset: Thorough OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough 1 2 3 4 6 12 18 24 30 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 26.68 26.70 26.64 26.64 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive 1 2 3 4 50 100 150 200 250 SE +/- 0.84, N = 3 SE +/- 0.86, N = 3 SE +/- 0.76, N = 3 SE +/- 0.59, N = 3 215.92 216.19 215.24 214.69 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
SQLite Speedtest Timed Time - Size 1,000 OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 1 2 3 4 13 26 39 52 65 SE +/- 0.32, N = 3 SE +/- 0.21, N = 3 SE +/- 0.76, N = 3 SE +/- 0.24, N = 3 59.24 59.93 59.49 59.41 1. (CC) gcc options: -O2 -ldl -lz -lpthread
WavPack Audio Encoding WAV To WavPack OpenBenchmarking.org Seconds, Fewer Is Better WavPack Audio Encoding 5.3 WAV To WavPack 1 2 3 4 3 6 9 12 15 SE +/- 0.02, N = 5 SE +/- 0.02, N = 5 SE +/- 0.04, N = 5 SE +/- 0.03, N = 5 12.62 12.60 12.51 12.46 1. (CXX) g++ options: -rdynamic
Unpacking Firefox Extracting: firefox-84.0.source.tar.xz OpenBenchmarking.org Seconds, Fewer Is Better Unpacking Firefox 84.0 Extracting: firefox-84.0.source.tar.xz 1 2 3 4 5 10 15 20 25 SE +/- 0.14, N = 20 SE +/- 0.16, N = 4 SE +/- 0.27, N = 20 SE +/- 0.24, N = 5 18.13 18.22 18.40 18.78
Phoronix Test Suite v10.8.4