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&grt&sor .
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 asmfish: 1024 Hash Memory, 26 Depth astcenc: Fast astcenc: Medium astcenc: Thorough astcenc: Exhaustive brl-cad: VGR Performance Metric build2: Time To Compile clomp: Static OMP Speedup coremark: CoreMark Size 666 - Iterations Per Second crafty: Elapsed Time hpcg: 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 encode-ape: WAV To APE 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 node-web-tooling: encode-ogg: WAV To Ogg 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 openvino: Face Detection 0106 FP16 - CPU openvino: Face Detection 0106 FP16 - CPU openvino: Face Detection 0106 FP32 - CPU openvino: Face Detection 0106 FP32 - CPU openvino: Person Detection 0106 FP16 - CPU openvino: Person Detection 0106 FP16 - CPU openvino: Person Detection 0106 FP32 - CPU openvino: Person Detection 0106 FP32 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP32 - CPU openvino: Age Gender Recognition Retail 0013 FP32 - CPU encode-opus: WAV To Opus Encode phpbench: PHP Benchmark Suite rav1e: 1 rav1e: 5 rav1e: 6 rav1e: 10 simdjson: Kostya simdjson: LargeRand simdjson: PartialTweets simdjson: DistinctUserID sqlite-speedtest: Timed Time - Size 1,000 stockfish: Total Time build-clash: Time To Compile build-eigen: Time To Compile build-ffmpeg: Time To Compile hmmer: Pfam Database Search unpack-firefox: firefox-84.0.source.tar.xz encode-wavpack: WAV To WavPack 1 2 3 4 27502562 5.97 8.68 26.68 215.92 120993 119.006 23.0 353574.858058 8546471 4.15940 9360.33 10310.6 51.50 9919.0 50.69 9942.5 11.565 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 12.06 18.840 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 1.90 2105.37 1.88 2125.78 1.50 2640.59 1.52 2589.43 6575.88 0.60 6689.73 0.59 7.194 674200 0.402 1.186 1.587 3.457 0.59 0.43 0.69 0.7 59.241 20160779 248.032 74.181 56.277 107.499 18.129 12.624 27582263 6.02 8.69 26.70 216.19 119540 118.888 23.4 353496.410708 8920559 4.13952 9307.53 10300.3 50.73 9895.1 49.77 9964.5 11.601 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 12.13 18.899 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 1.91 2092.82 1.88 2128.47 1.53 2586.64 1.51 2600.09 6385.20 0.62 6618.49 0.60 7.213 669279 0.402 1.183 1.586 3.450 0.59 0.42 0.68 0.70 59.934 19613677 249.576 74.094 56.166 107.861 18.224 12.596 27974508 6.11 8.69 26.64 215.24 121138 117.139 23.4 352288.838866 8893425 4.14396 9368.21 10277.4 51.59 9901.3 50.47 9943.8 11.502 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 12.17 18.846 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 1.89 2107.64 1.88 2120.16 1.53 2584.40 1.52 2598.96 6637.86 0.59 6784.44 0.58 7.204 670904 0.398 1.185 1.582 3.447 0.59 0.43 0.67 0.70 59.490 19737025 247.213 74.084 56.009 108.068 18.395 12.508 27935855 5.99 8.69 26.64 214.69 122061 119.841 23.2 355783.638913 8823060 4.18942 9333.49 10229.8 52.10 9944.8 50.16 9903.2 11.518 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 12.09 18.773 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 1.91 2092.01 1.88 2129.83 1.53 2579.88 1.50 2601.17 6685.19 0.59 6715.20 0.59 7.212 668752 0.400 1.178 1.582 3.455 0.59 0.43 0.68 0.70 59.413 19931000 245.507 73.346 56.453 107.122 18.779 12.464 OpenBenchmarking.org
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth 3 4 2 1 6M 12M 18M 24M 30M SE +/- 375615.15, N = 3 SE +/- 413508.74, N = 3 SE +/- 392976.00, N = 4 SE +/- 236042.73, N = 3 27974508 27935855 27582263 27502562
ASTC Encoder Preset: Fast OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast 1 4 2 3 2 4 6 8 10 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 5.97 5.99 6.02 6.11 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 3 4 1 2 6 12 18 24 30 SE +/- 0.02, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 26.64 26.64 26.68 26.70 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 4 3 1 2 50 100 150 200 250 SE +/- 0.59, N = 3 SE +/- 0.76, N = 3 SE +/- 0.84, N = 3 SE +/- 0.86, N = 3 214.69 215.24 215.92 216.19 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.30.8 VGR Performance Metric 4 3 1 2 30K 60K 90K 120K 150K 122061 121138 120993 119540 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
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile 3 2 1 4 30 60 90 120 150 SE +/- 0.68, N = 3 SE +/- 0.87, N = 3 SE +/- 0.53, N = 3 SE +/- 0.61, N = 3 117.14 118.89 119.01 119.84
CLOMP Static OMP Speedup OpenBenchmarking.org Speedup, More Is Better CLOMP 1.2 Static OMP Speedup 3 2 4 1 6 12 18 24 30 SE +/- 0.25, N = 3 SE +/- 0.15, N = 3 SE +/- 0.09, N = 3 SE +/- 0.33, N = 4 23.4 23.4 23.2 23.0 1. (CC) gcc options: -fopenmp -O3 -lm
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second 4 1 2 3 80K 160K 240K 320K 400K SE +/- 2489.73, N = 3 SE +/- 433.03, N = 3 SE +/- 1791.95, N = 3 SE +/- 551.56, N = 3 355783.64 353574.86 353496.41 352288.84 1. (CC) gcc options: -O2 -lrt" -lrt
Crafty Elapsed Time OpenBenchmarking.org Nodes Per Second, More Is Better Crafty 25.2 Elapsed Time 2 3 4 1 2M 4M 6M 8M 10M SE +/- 23311.86, N = 3 SE +/- 39685.50, N = 3 SE +/- 10375.27, N = 3 SE +/- 40721.86, N = 3 8920559 8893425 8823060 8546471 1. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
High Performance Conjugate Gradient OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 4 1 3 2 0.9426 1.8852 2.8278 3.7704 4.713 SE +/- 0.00261, N = 3 SE +/- 0.01048, N = 3 SE +/- 0.00914, N = 3 SE +/- 0.00654, N = 3 4.18942 4.15940 4.14396 4.13952 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
LZ4 Compression Compression Level: 1 - Compression Speed OpenBenchmarking.org MB/s, More Is Better LZ4 Compression 1.9.3 Compression Level: 1 - Compression Speed 3 1 4 2 2K 4K 6K 8K 10K SE +/- 58.52, N = 3 SE +/- 28.64, N = 3 SE +/- 17.75, N = 3 SE +/- 35.67, N = 3 9368.21 9360.33 9333.49 9307.53 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 4 3 1 2 12 24 36 48 60 SE +/- 0.80, N = 3 SE +/- 0.61, N = 3 SE +/- 0.13, N = 3 SE +/- 0.43, N = 3 52.10 51.59 51.50 50.73 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 4 1 3 2 2K 4K 6K 8K 10K SE +/- 31.18, N = 3 SE +/- 22.08, N = 3 SE +/- 18.23, N = 3 SE +/- 28.51, N = 3 9944.8 9919.0 9901.3 9895.1 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 3 4 2 11 22 33 44 55 SE +/- 0.61, N = 3 SE +/- 0.56, N = 3 SE +/- 0.24, N = 3 SE +/- 0.09, N = 3 50.69 50.47 50.16 49.77 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 2 3 1 4 2K 4K 6K 8K 10K SE +/- 13.58, N = 3 SE +/- 11.11, N = 3 SE +/- 34.85, N = 3 SE +/- 20.54, N = 3 9964.5 9943.8 9942.5 9903.2 1. (CC) gcc options: -O3
Monkey Audio Encoding WAV To APE OpenBenchmarking.org Seconds, Fewer Is Better Monkey Audio Encoding 3.99.6 WAV To APE 3 4 1 2 3 6 9 12 15 SE +/- 0.06, N = 5 SE +/- 0.04, N = 5 SE +/- 0.03, N = 5 SE +/- 0.02, N = 5 11.50 11.52 11.57 11.60 1. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20201218 Target: CPU - Model: mobilenet 1 3 4 2 5 10 15 20 25 SE +/- 0.16, N = 3 SE +/- 0.11, N = 3 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 19.21 19.27 19.28 19.36 MIN: 18.78 / MAX: 21.15 MIN: 18.88 / MAX: 44.34 MIN: 18.9 / MAX: 29.46 MIN: 18.77 / MAX: 35.98 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 2 1 4 3 2 4 6 8 10 SE +/- 0.07, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 6.12 6.18 6.19 6.20 MIN: 5.85 / MAX: 7.6 MIN: 6.06 / MAX: 8.19 MIN: 6.03 / MAX: 10.92 MIN: 6.09 / MAX: 8.16 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 2 1 3 4 1.1813 2.3626 3.5439 4.7252 5.9065 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 5.18 5.23 5.25 5.25 MIN: 4.98 / MAX: 6.67 MIN: 5.15 / MAX: 6.2 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 4 2 3 1 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 6.69 6.70 6.71 6.72 MIN: 6.58 / MAX: 7.67 MIN: 6.61 / MAX: 7.44 MIN: 6.63 / MAX: 7.73 MIN: 6.65 / MAX: 7.66 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 2 3 1 4 1.161 2.322 3.483 4.644 5.805 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 5.11 5.13 5.14 5.16 MIN: 5.01 / MAX: 6.04 MIN: 5.04 / MAX: 6.51 MIN: 5.05 / MAX: 6.45 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 4 1 2 3 2 4 6 8 10 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 8.13 8.14 8.16 8.17 MIN: 8.03 / MAX: 8.49 MIN: 8.02 / MAX: 8.83 MIN: 7.88 / MAX: 9.12 MIN: 8.06 / MAX: 8.32 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 3 4 1 2 0.5355 1.071 1.6065 2.142 2.6775 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 2.31 2.33 2.38 2.38 MIN: 2.25 / MAX: 2.91 MIN: 2.27 / MAX: 2.43 MIN: 2.27 / MAX: 19.28 MIN: 2.27 / MAX: 2.52 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 3 4 1 2 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 16.86 16.96 17.02 17.14 MIN: 16.71 / MAX: 17.29 MIN: 16.69 / MAX: 17.55 MIN: 16.66 / MAX: 19.25 MIN: 16.66 / MAX: 17.83 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 4 1 3 2 15 30 45 60 75 SE +/- 0.12, N = 3 SE +/- 0.13, N = 3 SE +/- 0.08, N = 3 SE +/- 0.08, N = 3 66.95 67.04 67.05 67.23 MIN: 66.49 / MAX: 77.52 MIN: 66.37 / MAX: 76.88 MIN: 66.64 / MAX: 85.47 MIN: 66.76 / MAX: 69.07 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 3 4 1 2 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.06, N = 3 SE +/- 0.07, N = 3 17.80 17.86 17.87 17.96 MIN: 17.69 / MAX: 18.2 MIN: 17.69 / MAX: 19.08 MIN: 17.67 / MAX: 19.64 MIN: 17.69 / MAX: 18.83 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 2 1 4 3 4 8 12 16 20 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.03, N = 3 14.19 14.20 14.21 14.22 MIN: 14.01 / MAX: 17.99 MIN: 14 / MAX: 14.91 MIN: 13.97 / MAX: 34.17 MIN: 14.02 / MAX: 29.08 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 4 1 2 3 8 16 24 32 40 SE +/- 0.20, N = 3 SE +/- 0.18, N = 3 SE +/- 0.24, N = 3 SE +/- 0.27, N = 3 32.58 32.59 32.61 32.76 MIN: 32.05 / MAX: 36.85 MIN: 32.08 / MAX: 33.46 MIN: 31.97 / MAX: 34.1 MIN: 32.03 / MAX: 34.5 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 4 2 3 7 14 21 28 35 SE +/- 0.52, N = 3 SE +/- 0.06, N = 3 SE +/- 0.12, N = 3 SE +/- 0.03, N = 3 28.75 29.05 29.07 29.08 MIN: 27.61 / MAX: 64.45 MIN: 28.82 / MAX: 29.73 MIN: 28.75 / MAX: 29.65 MIN: 28.89 / 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 4 3 1 2 6 12 18 24 30 SE +/- 0.06, N = 3 SE +/- 0.04, N = 3 SE +/- 0.11, N = 3 SE +/- 0.13, N = 3 23.34 23.41 23.51 23.63 MIN: 23.02 / MAX: 43.03 MIN: 23.19 / MAX: 25.44 MIN: 23.25 / MAX: 25.8 MIN: 23.22 / MAX: 24.08 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 2 1 4 3 5 10 15 20 25 SE +/- 0.13, N = 3 SE +/- 0.02, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 18.66 18.67 18.67 18.69 MIN: 18.24 / MAX: 19.92 MIN: 18.49 / MAX: 19.91 MIN: 18.39 / MAX: 19.85 MIN: 18.54 / MAX: 19.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
Node.js V8 Web Tooling Benchmark OpenBenchmarking.org runs/s, More Is Better Node.js V8 Web Tooling Benchmark 3 2 4 1 3 6 9 12 15 SE +/- 0.05, N = 3 SE +/- 0.14, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 12.17 12.13 12.09 12.06 1. Nodejs
v10.19.0
Ogg Audio Encoding WAV To Ogg OpenBenchmarking.org Seconds, Fewer Is Better Ogg Audio Encoding 1.3.4 WAV To Ogg 4 1 3 2 5 10 15 20 25 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 18.77 18.84 18.85 18.90 1. (CC) gcc options: -O2 -ffast-math -fsigned-char
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 4 2 3 1 2 4 6 8 10 SE +/- 0.01309, N = 3 SE +/- 0.02140, N = 3 SE +/- 0.09674, N = 3 SE +/- 0.03713, N = 3 5.47702 5.63807 5.71737 6.41982 MIN: 5.33 MIN: 5.46 MIN: 5.44 MIN: 6.16 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 2 4 1 3 3 6 9 12 15 SE +/- 0.03208, N = 3 SE +/- 0.00920, N = 3 SE +/- 0.02026, N = 3 SE +/- 0.00670, N = 3 9.21133 9.22956 9.36757 9.43065 MIN: 8.73 MIN: 8.81 MIN: 8.65 MIN: 8.94 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 4 3 2 0.59 1.18 1.77 2.36 2.95 SE +/- 0.00707, N = 3 SE +/- 0.00294, N = 3 SE +/- 0.00458, N = 3 SE +/- 0.00999, N = 3 2.59978 2.60889 2.61510 2.62207 MIN: 2.54 MIN: 2.55 MIN: 2.55 MIN: 2.53 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 4 3 0.5302 1.0604 1.5906 2.1208 2.651 SE +/- 0.01532, N = 3 SE +/- 0.00242, N = 3 SE +/- 0.00821, N = 3 SE +/- 0.00400, N = 3 1.92313 2.24347 2.32680 2.35658 MIN: 1.77 MIN: 2.16 MIN: 2.26 MIN: 2.27 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 3 2 4 5 10 15 20 25 SE +/- 0.03, N = 3 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 21.88 22.18 22.50 22.73 MIN: 21.72 MIN: 21.92 MIN: 22.23 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 4 2 3 1 1.2294 2.4588 3.6882 4.9176 6.147 SE +/- 0.02681, N = 3 SE +/- 0.01540, N = 3 SE +/- 0.03943, N = 3 SE +/- 0.06268, N = 3 5.06969 5.09666 5.14679 5.46401 MIN: 4.93 MIN: 4.97 MIN: 4.96 MIN: 5.24 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 4 2 3 1 2 4 6 8 10 SE +/- 0.00633, N = 3 SE +/- 0.01088, N = 3 SE +/- 0.03140, N = 3 SE +/- 0.00565, N = 3 6.69818 6.73147 6.76584 6.98587 MIN: 6.61 MIN: 6.65 MIN: 6.66 MIN: 6.9 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 4 3 5 10 15 20 25 SE +/- 0.14, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.02, N = 3 20.40 20.60 20.61 20.91 MIN: 19.84 MIN: 20.17 MIN: 20.13 MIN: 20.6 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 4 3 2 1 2 4 6 8 10 SE +/- 0.00504, N = 3 SE +/- 0.01483, N = 3 SE +/- 0.04033, N = 3 SE +/- 0.09124, N = 4 6.33997 6.37617 6.43594 6.51376 MIN: 6.13 MIN: 6.19 MIN: 6.16 MIN: 6.15 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 3 4 2 1 1.1972 2.3944 3.5916 4.7888 5.986 SE +/- 0.01044, N = 3 SE +/- 0.00180, N = 3 SE +/- 0.01452, N = 3 SE +/- 0.00290, N = 3 5.26936 5.28923 5.30594 5.32109 MIN: 5.13 MIN: 5.14 MIN: 5.15 MIN: 5.19 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 4 1 2 3 800 1600 2400 3200 4000 SE +/- 9.46, N = 3 SE +/- 15.33, N = 3 SE +/- 10.50, N = 3 SE +/- 7.78, N = 3 3804.05 3822.92 3843.11 3876.27 MIN: 3774.53 MIN: 3794.35 MIN: 3822.5 MIN: 3849.36 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 4 3 2 600 1200 1800 2400 3000 SE +/- 6.44, N = 3 SE +/- 3.97, N = 3 SE +/- 13.71, N = 3 SE +/- 7.32, N = 3 2647.28 2668.89 2700.05 2716.83 MIN: 2623.28 MIN: 2653.57 MIN: 2664.68 MIN: 2679.78 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 4 2 1 3 800 1600 2400 3200 4000 SE +/- 10.35, N = 3 SE +/- 7.95, N = 3 SE +/- 3.51, N = 3 SE +/- 7.82, N = 3 3828.50 3841.65 3848.17 3906.57 MIN: 3796.66 MIN: 3822.65 MIN: 3835.87 MIN: 3881.33 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 2 3 1 4 600 1200 1800 2400 3000 SE +/- 18.41, N = 3 SE +/- 26.06, N = 3 SE +/- 164.47, N = 15 SE +/- 112.58, N = 15 2680.98 2686.22 2870.93 2877.16 MIN: 2639.83 MIN: 2623.98 MIN: 2616.42 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 3 2 4 1.1082 2.2164 3.3246 4.4328 5.541 SE +/- 0.00828, N = 3 SE +/- 0.02300, N = 3 SE +/- 0.00615, N = 3 SE +/- 0.01211, N = 3 4.18422 4.42827 4.46430 4.92533 MIN: 4.11 MIN: 4.29 MIN: 4.37 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 2 4 3 1 800 1600 2400 3200 4000 SE +/- 15.67, N = 3 SE +/- 13.24, N = 3 SE +/- 18.76, N = 3 SE +/- 9.21, N = 3 3828.39 3872.86 3885.91 3905.20 MIN: 3789.68 MIN: 3841.97 MIN: 3857.9 MIN: 3873.81 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 3 2 1 4 600 1200 1800 2400 3000 SE +/- 21.78, N = 3 SE +/- 11.78, N = 3 SE +/- 16.87, N = 3 SE +/- 17.38, N = 3 2656.26 2671.70 2691.72 2707.27 MIN: 2609.52 MIN: 2634.62 MIN: 2656.78 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 4 3 2 1 0.6643 1.3286 1.9929 2.6572 3.3215 SE +/- 0.00316, N = 3 SE +/- 0.02222, N = 3 SE +/- 0.02849, N = 3 SE +/- 0.01867, N = 3 2.84703 2.86008 2.90638 2.95246 MIN: 2.79 MIN: 2.74 MIN: 2.78 MIN: 2.78 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenVINO Model: Face Detection 0106 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU 4 2 1 3 0.4298 0.8596 1.2894 1.7192 2.149 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 1.91 1.91 1.90 1.89
OpenVINO Model: Face Detection 0106 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP16 - Device: CPU 4 2 1 3 500 1000 1500 2000 2500 SE +/- 4.55, N = 3 SE +/- 10.32, N = 3 SE +/- 10.65, N = 3 SE +/- 3.44, N = 3 2092.01 2092.82 2105.37 2107.64
OpenVINO Model: Face Detection 0106 FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU 4 3 2 1 0.423 0.846 1.269 1.692 2.115 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.88 1.88 1.88 1.88
OpenVINO Model: Face Detection 0106 FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Face Detection 0106 FP32 - Device: CPU 3 1 2 4 500 1000 1500 2000 2500 SE +/- 12.17, N = 3 SE +/- 7.97, N = 3 SE +/- 10.63, N = 3 SE +/- 5.04, N = 3 2120.16 2125.78 2128.47 2129.83
OpenVINO Model: Person Detection 0106 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU 4 3 2 1 0.3443 0.6886 1.0329 1.3772 1.7215 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 1.53 1.53 1.53 1.50
OpenVINO Model: Person Detection 0106 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP16 - Device: CPU 4 3 2 1 600 1200 1800 2400 3000 SE +/- 1.17, N = 3 SE +/- 3.37, N = 3 SE +/- 5.45, N = 3 SE +/- 53.72, N = 3 2579.88 2584.40 2586.64 2640.59
OpenVINO Model: Person Detection 0106 FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2021.1 Model: Person Detection 0106 FP32 - Device: CPU 3 1 2 4 0.342 0.684 1.026 1.368 1.71 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 1.52 1.52 1.51 1.50
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 3 2 4 600 1200 1800 2400 3000 SE +/- 2.01, N = 3 SE +/- 10.76, N = 3 SE +/- 12.53, N = 3 SE +/- 11.32, N = 3 2589.43 2598.96 2600.09 2601.17
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 4 3 1 2 1400 2800 4200 5600 7000 SE +/- 48.76, N = 3 SE +/- 37.70, N = 3 SE +/- 104.51, N = 3 SE +/- 45.76, N = 3 6685.19 6637.86 6575.88 6385.20
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 3 4 1 2 0.1395 0.279 0.4185 0.558 0.6975 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 0.59 0.59 0.60 0.62
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 3 4 1 2 1500 3000 4500 6000 7500 SE +/- 15.68, N = 3 SE +/- 68.15, N = 3 SE +/- 45.45, N = 3 SE +/- 24.26, N = 3 6784.44 6715.20 6689.73 6618.49
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 3 1 4 2 0.135 0.27 0.405 0.54 0.675 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 0.58 0.59 0.59 0.60
Opus Codec Encoding WAV To Opus Encode OpenBenchmarking.org Seconds, Fewer Is Better Opus Codec Encoding 1.3.1 WAV To Opus Encode 1 3 4 2 2 4 6 8 10 SE +/- 0.026, N = 5 SE +/- 0.021, N = 5 SE +/- 0.025, N = 5 SE +/- 0.035, N = 5 7.194 7.204 7.212 7.213 1. (CXX) g++ options: -fvisibility=hidden -logg -lm
PHPBench PHP Benchmark Suite OpenBenchmarking.org Score, More Is Better PHPBench 0.8.1 PHP Benchmark Suite 1 3 2 4 140K 280K 420K 560K 700K SE +/- 847.75, N = 3 SE +/- 3673.00, N = 3 SE +/- 2076.23, N = 3 SE +/- 2049.04, N = 3 674200 670904 669279 668752
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 1 2 1 4 3 0.0905 0.181 0.2715 0.362 0.4525 SE +/- 0.000, N = 3 SE +/- 0.001, N = 3 SE +/- 0.001, N = 3 SE +/- 0.005, N = 3 0.402 0.402 0.400 0.398
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 5 1 3 2 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 1.185 1.183 1.178
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.4 Alpha Speed: 6 1 2 4 3 0.3571 0.7142 1.0713 1.4284 1.7855 SE +/- 0.001, N = 3 SE +/- 0.004, N = 3 SE +/- 0.001, N = 3 SE +/- 0.004, 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 4 2 3 0.7778 1.5556 2.3334 3.1112 3.889 SE +/- 0.009, N = 3 SE +/- 0.020, N = 3 SE +/- 0.016, N = 3 SE +/- 0.010, N = 3 3.457 3.455 3.450 3.447
simdjson Throughput Test: Kostya OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: Kostya 4 3 2 1 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 4 3 1 2 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 0.43 0.43 0.42 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 4 2 3 0.1553 0.3106 0.4659 0.6212 0.7765 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 0.69 0.68 0.68 0.67 1. (CXX) g++ options: -O3 -pthread
simdjson Throughput Test: DistinctUserID OpenBenchmarking.org GB/s, More Is Better simdjson 0.7.1 Throughput Test: DistinctUserID 4 3 2 1 0.1575 0.315 0.4725 0.63 0.7875 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.70 0.70 0.70 0.70 1. (CXX) g++ options: -O3 -pthread
SQLite Speedtest Timed Time - Size 1,000 OpenBenchmarking.org Seconds, Fewer Is Better SQLite Speedtest 3.30 Timed Time - Size 1,000 1 4 3 2 13 26 39 52 65 SE +/- 0.32, N = 3 SE +/- 0.24, N = 3 SE +/- 0.76, N = 3 SE +/- 0.21, N = 3 59.24 59.41 59.49 59.93 1. (CC) gcc options: -O2 -ldl -lz -lpthread
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 12 Total Time 1 4 3 2 4M 8M 12M 16M 20M SE +/- 110311.00, N = 3 SE +/- 210476.75, N = 3 SE +/- 129535.89, N = 3 SE +/- 217803.95, N = 3 20160779 19931000 19737025 19613677 1. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
Timed Clash Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Clash Compilation Time To Compile 4 3 1 2 50 100 150 200 250 SE +/- 1.63, N = 3 SE +/- 2.51, N = 3 SE +/- 2.91, N = 3 SE +/- 3.62, N = 3 245.51 247.21 248.03 249.58
Timed Eigen Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Eigen Compilation 3.3.9 Time To Compile 4 3 2 1 16 32 48 64 80 SE +/- 0.27, N = 3 SE +/- 0.46, N = 3 SE +/- 0.35, N = 3 SE +/- 0.37, N = 3 73.35 74.08 74.09 74.18
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.2.2 Time To Compile 3 2 1 4 13 26 39 52 65 SE +/- 0.30, N = 3 SE +/- 0.79, N = 3 SE +/- 0.35, N = 3 SE +/- 0.38, N = 3 56.01 56.17 56.28 56.45
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search 4 1 2 3 20 40 60 80 100 SE +/- 0.02, N = 3 SE +/- 0.21, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 107.12 107.50 107.86 108.07 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
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
WavPack Audio Encoding WAV To WavPack OpenBenchmarking.org Seconds, Fewer Is Better WavPack Audio Encoding 5.3 WAV To WavPack 4 3 2 1 3 6 9 12 15 SE +/- 0.03, N = 5 SE +/- 0.04, N = 5 SE +/- 0.02, N = 5 SE +/- 0.02, N = 5 12.46 12.51 12.60 12.62 1. (CXX) g++ options: -rdynamic
Phoronix Test Suite v10.8.4