7773x Tests for a future article. 2 x AMD EPYC 7573X 32-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2305044-NE-7773X849132&sor .
7773x Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution a b 5 a 5 b 5 2p a 5 2p b AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads) AMD DAYTONA_X (RYM1009B BIOS) AMD Starship/Matisse 256GB 3841GB Micron_9300_MTFDHAL3T8TDP ASPEED VE228 2 x Mellanox MT27710 Ubuntu 22.04 5.15.0-47-generic (x86_64) GNOME Shell 42.4 X Server 1.21.1.3 1.2.204 GCC 11.2.0 ext4 1920x1080 AMD EPYC 7573X 32-Core @ 2.80GHz (32 Cores / 64 Threads) 2 x AMD EPYC 7573X 32-Core @ 2.80GHz (64 Cores / 128 Threads) 512GB 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 Processor Details - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229 Python Details - Python 3.10.6 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
7773x quantlib: openfoam: drivaerFastback, Small Mesh Size - Mesh Time openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time openfoam: drivaerFastback, Medium Mesh Size - Execution Time specfem3d: Mount St. Helens specfem3d: Layered Halfspace specfem3d: Tomographic Model specfem3d: Homogeneous Halfspace specfem3d: Water-layered Halfspace john-the-ripper: bcrypt john-the-ripper: WPA PSK john-the-ripper: Blowfish john-the-ripper: HMAC-SHA512 john-the-ripper: MD5 embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Fast vvenc: Bosphorus 1080p - Faster mt-dgemm: Sustained Floating-Point Rate openvkl: vklBenchmark ISPC build-ffmpeg: Time To Compile build-llvm: Ninja build-llvm: Unix Makefiles ffmpeg: libx265 - Live ffmpeg: libx265 - Live ffmpeg: libx265 - Upload ffmpeg: libx265 - Upload ffmpeg: libx265 - Platform ffmpeg: libx265 - Platform ffmpeg: libx265 - Video On Demand ffmpeg: libx265 - Video On Demand gromacs: MPI CPU - water_GMX50_bare draco: Lion draco: Church Facade blender: BMW27 - CPU-Only blender: Classroom - CPU-Only blender: Fishy Cat - CPU-Only blender: Barbershop - CPU-Only blender: Pabellon Barcelona - CPU-Only lczero: BLAS lczero: Eigen cloverleaf: Lagrangian-Eulerian Hydrodynamics pennant: sedovbig pennant: leblancbig incompact3d: input.i3d 129 Cells Per Direction incompact3d: input.i3d 193 Cells Per Direction lulesh: compress-zstd: 3 - Compression Speed compress-zstd: 3 - Decompression Speed compress-zstd: 8 - Compression Speed compress-zstd: 8 - Decompression Speed compress-zstd: 12 - Compression Speed compress-zstd: 12 - Decompression Speed compress-zstd: 19 - Compression Speed compress-zstd: 19 - Decompression Speed compress-zstd: 3, Long Mode - Compression Speed compress-zstd: 3, Long Mode - Decompression Speed compress-zstd: 8, Long Mode - Compression Speed compress-zstd: 8, Long Mode - Decompression Speed compress-zstd: 19, Long Mode - Compression Speed compress-zstd: 19, Long Mode - Decompression Speed compress-7zip: Compression Rating compress-7zip: Decompression Rating onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU espeak: Text-To-Speech Synthesis clickhouse: 100M Rows Hits Dataset, First Run / Cold Cache clickhouse: 100M Rows Hits Dataset, Second Run clickhouse: 100M Rows Hits Dataset, Third Run askap: tConvolve MT - Gridding askap: tConvolve MT - Degridding askap: tConvolve MPI - Degridding askap: tConvolve MPI - Gridding askap: tConvolve OpenMP - Gridding askap: tConvolve OpenMP - Degridding askap: Hogbom Clean OpenMP 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 ncnn: CPU - vision_transformer ncnn: CPU - FastestDet openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike 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 petsc: Streams opencv: Core opencv: Graph API opencv: Stitching opencv: Object Detection opencv: DNN - Deep Neural Network a b 5 a 5 b 5 2p a 5 2p b 2746.5 24.729957 40.450568 25.348583 40.481652 11.678414616 30.518912661 13.862202300 17.209349082 28.081540950 86230 201388 86460 136796000 5534000 69.1077 63.3711 78.4751 70.5238 73.8446 64.5117 4.863 73.442 222.837 195.924 10.295 109.984 604.842 552.241 6.286 11.367 16.552 30.006 29.383496 470 16.928 165.707 246.957 47.74 105.78 116.93 21.59 173.23 43.73 173.47 43.67 7.290 4867 5793 27.61 72.45 34.77 260.83 88.76 2692.4 25.596085 40.244428 120.39337 363.7359 11.75332146 30.115899704 13.530179394 16.817080246 27.467540273 91276 202957 87360 135165000 5543000 63.3647 73.828 64.6409 4.826 67.548 214.933 198.135 10.234 109.711 601.984 549.834 6.128 11.364 16.374 30.114 29.04569 469 17.042 164.449 248.481 47.206774889 106.98 116.80915814 21.62 172.56956694 43.90 172.533939506 43.90 7.299 4885 5833 27.6 72.02 34.61 259.87 88.73 5554 5142 11.34 9.56361 5.104078 4.43804121 17.2118473 22257.137 2819 1277.3 988.5 1390 270.8 1445.9 17.6 1276.8 752.6 1300.8 744.5 1434.2 9.3 1190.8 396928 411213 1.26107 1.24618 0.827622 6.92145 3.12487 1183.63 749.622 28.157 428.51 439.07 437.35 5493.35 8308.33 32799.5 36827.5 20481.2 19018.3 806.452 17.84 11.3 10.29 15.6 11.71 15.44 8.12 19.09 24.04 10.89 7.13 19.58 23.92 19.32 53.52 133.39 19.08 12.16 2608.34 8.05 3911.97 8.04 3927 1205.11 26.54 27.03 1175.01 1889.05 16.93 1198.45 26.68 138.84 230.27 2674.29 23.92 1888.2 16.93 35737.82 1.74 38091.46 1.62 56185.7504 77061 235810 201160 31910 39756 2756.9 22.337396 50.745904 117.4378 428.6592 18.86219907 49.136149469 19.089664857 24.987445867 45.70942713 60192 130848 60325 96059000 3621000 43.9492 40.2408 48.5228 43.9589 44.9118 39.1941 4.743 65.337 220.813 199.69 10.76 107.382 629.3 571.084 6.406 11.961 16.846 31.837 17.8745 340 20.378 230.378 290.539 45.71 110.49 110.01 22.95 162.19 46.70 161.54 46.89 5.022 4760 5718 42.52 113.31 52.68 408.79 136.58 1419 1238 12.09 14.00111 7.974022 5.06756401 19.6305008 20920.487 2856.6 1326.5 1067.8 1438.8 289.1 1478.1 18.2 1304.2 854.2 1361.5 792.1 1460.1 9.54 1229.1 271918 244220 1.37996 0.62593 1.14656 4.49565 2.76234 1182.61 679.645 27.826 437.20 457.81 456.30 6599.68 9611.05 20991.7 24990.1 17750.4 19018.3 869.565 13.7 6.46 6.19 7.73 6.08 9.03 3.82 14.11 21.08 8.12 5.48 14.8 19.98 14.85 26.34 126.26 9.25 8.23 1935.6 5.48 2881.04 5.47 2886.12 841.49 19 17.92 886.41 1244.86 12.84 822.19 19.45 92.61 172.53 1767.13 18.1 1252.05 12.77 25209.62 1.26 27340.96 1.16 31992.6068 68343 206970 184032 27739 39997 2820.4 22.706399 50.699752 117.6045 427.71276 19.355553092 48.738676454 19.630096342 25.089622797 44.334574335 60152 131072 60345 94924000 3605000 43.9787 40.1199 48.5074 44.1884 45.1054 39.2236 4.76 70.856 226.733 196.063 10.828 108.364 622.732 560.565 6.39 12.02 17.253 31.795 18.6403 339 20.64 231.091 297.223 45.79 110.29 110.14 22.93 2760.9 22.563946 33.001079 99.384145 205.46392 9.609453868 25.221006745 11.224767813 14.491419469 23.936065997 118502 259413 118579 79002000 6845000 81.4508 73.3301 76.8067 68.6922 73.9612 64.4091 4.784 62.836 169.112 169.658 10.41 107.1 540.729 525.154 5.548 9.574 14.812 24.492 31.344515 452 15.455 138.717 219.403 54.58 92.52 112.819760537 22.38 170.942711463 44.31 168.456941186 44.97 8.285 4734 5682 22.59 58.55 27.96 213.6 71.64 8284 8286 15.67 7.656369 4.294731 2.48654294 10.6241302 42030.038 2783.7 1306.7 1024 1437.5 283.6 1482.7 18 1315.6 808.5 1332.3 702.8 1454.7 9.57 1222.9 403739 453996 2.67801 0.911806 0.674336 10.5221 1.85167 1390.36 1212.84 27.868 445.18 463.68 461.53 7738.59 12506.7 41983.3 49980.1 12102.5 16641 436.681 77.77 27.7 21.26 33.27 38.49 35.12 14.65 93.29 33.55 38.94 18.6 80.81 38.1 37.17 100.65 144.31 40.45 15.86 2013.52 10.54 2975.15 10.64 2946.97 1632.81 19.58 34.83 914.24 2504.36 12.76 1594.14 20.06 175.48 182.1 3501.69 18.26 2523.57 12.66 39455.86 1.37 2850.8 23.335275 32.974316 99.93268 203.65118 9.59476935 25.472190291 11.797525585 14.415931158 23.268032641 117542 258457 117771 73260000 6683000 81.0913 73.2602 76.6287 68.7022 73.7779 64.0441 4.842 69.536 176.107 172.573 10.495 104.169 565.057 546.034 5.768 9.906 15.044 24.268 31.760876 452 15.344 138.565 221.789 47.07 107.29 114.261775562 22.10 173.56002958 43.64 173.052257283 43.77 8.222 4818 5729 22.51 58.57 27.9 213.46 71.73 7991 7816 15.51 7.793325 4.418012 2.48386908 10.7624416 42551.898 2775.9 1309.5 1013.4 1441.1 282.8 1498.9 18 1312 741.5 1336.5 702.2 1445.1 9.5 1227.1 396844 440740 2.88451 0.917226 0.669349 10.3685 1.89859 1385.33 1305.96 28.137 440.56 467.46 448.03 7176.41 11068.8 41983.3 51199.1 12678.9 15662.1 434.783 115.68 38.67 28.88 37.89 49.46 60.79 24.56 112.43 32.81 51.8 28.55 120.27 45.89 35.81 128.35 145.49 53.25 15.76 2020.21 10.63 2948.39 10.64 2952.76 1623.83 19.69 34.91 912.42 2498.74 12.79 1592.71 20.07 176.76 180.91 3504.15 18.25 2524.05 12.66 38800.34 1.4 40352.48 1.33 74130.1789 236445 419702 287492 88553 87133 OpenBenchmarking.org
QuantLib OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.30 5 2p b 5 b 5 2p a 5 a a b 600 1200 1800 2400 3000 SE +/- 25.52, N = 3 2850.8 2820.4 2760.9 2756.9 2746.5 2692.4 1. (CXX) g++ options: -O3 -march=native -fPIE -pie
OpenFOAM Input: drivaerFastback, Small Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time 5 a 5 2p a 5 b 5 2p b a b 6 12 18 24 30 22.34 22.56 22.71 23.34 24.73 25.60 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM Input: drivaerFastback, Small Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time 5 2p b 5 2p a b a 5 b 5 a 11 22 33 44 55 32.97 33.00 40.24 40.45 50.70 50.75 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Mesh Time a 5 2p a 5 2p b 5 a 5 b b 30 60 90 120 150 25.35 99.38 99.93 117.44 117.60 120.39 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time a 5 2p b 5 2p a b 5 b 5 a 90 180 270 360 450 40.48 203.65 205.46 363.74 427.71 428.66 1. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm
SPECFEM3D Model: Mount St. Helens OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Mount St. Helens 5 2p b 5 2p a a b 5 a 5 b 5 10 15 20 25 SE +/- 0.038048290, N = 3 9.594769350 9.609453868 11.678414616 11.753321460 18.862199070 19.355553092 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SPECFEM3D Model: Layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Layered Halfspace 5 2p a 5 2p b b a 5 b 5 a 11 22 33 44 55 SE +/- 0.29, N = 3 25.22 25.47 30.12 30.52 48.74 49.14 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SPECFEM3D Model: Tomographic Model OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Tomographic Model 5 2p a 5 2p b b a 5 a 5 b 5 10 15 20 25 SE +/- 0.15, N = 3 11.22 11.80 13.53 13.86 19.09 19.63 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SPECFEM3D Model: Homogeneous Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Homogeneous Halfspace 5 2p b 5 2p a b a 5 a 5 b 6 12 18 24 30 SE +/- 0.20, N = 3 14.42 14.49 16.82 17.21 24.99 25.09 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
SPECFEM3D Model: Water-layered Halfspace OpenBenchmarking.org Seconds, Fewer Is Better SPECFEM3D 4.0 Model: Water-layered Halfspace 5 2p b 5 2p a b a 5 b 5 a 10 20 30 40 50 SE +/- 0.13, N = 3 23.27 23.94 27.47 28.08 44.33 45.71 1. (F9X) gfortran options: -O2 -fopenmp -std=f2003 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
John The Ripper Test: bcrypt OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: bcrypt 5 2p a 5 2p b b a 5 a 5 b 30K 60K 90K 120K 150K SE +/- 99.80, N = 3 118502 117542 91276 86230 60192 60152 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
John The Ripper Test: WPA PSK OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: WPA PSK 5 2p a 5 2p b b a 5 b 5 a 60K 120K 180K 240K 300K SE +/- 297.59, N = 3 259413 258457 202957 201388 131072 130848 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
John The Ripper Test: Blowfish OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: Blowfish 5 2p a 5 2p b b a 5 b 5 a 30K 60K 90K 120K 150K SE +/- 185.66, N = 3 118579 117771 87360 86460 60345 60325 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
John The Ripper Test: HMAC-SHA512 OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: HMAC-SHA512 a b 5 a 5 b 5 2p a 5 2p b 30M 60M 90M 120M 150M SE +/- 266743.32, N = 3 136796000 135165000 96059000 94924000 79002000 73260000 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
John The Ripper Test: MD5 OpenBenchmarking.org Real C/S, More Is Better John The Ripper 2023.03.14 Test: MD5 5 2p a 5 2p b b a 5 a 5 b 1.5M 3M 4.5M 6M 7.5M SE +/- 1000.00, N = 3 6845000 6683000 5543000 5534000 3621000 3605000 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Crown 5 2p a 5 2p b a 5 b 5 a 20 40 60 80 100 SE +/- 0.05, N = 3 81.45 81.09 69.11 43.98 43.95 MIN: 80.49 / MAX: 83.06 MIN: 80.03 / MAX: 82.56 MIN: 68.18 / MAX: 71.75 MIN: 43.29 / MAX: 44.67 MIN: 43.49 / MAX: 44.42
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Crown 5 2p a 5 2p b a b 5 a 5 b 16 32 48 64 80 SE +/- 0.11, N = 3 73.33 73.26 63.37 63.36 40.24 40.12 MIN: 71.99 / MAX: 75.06 MIN: 72.13 / MAX: 74.82 MIN: 62.18 / MAX: 66.58 MIN: 62.44 / MAX: 66.52 MIN: 39.64 / MAX: 40.95 MIN: 39.64 / MAX: 40.56
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon a 5 2p a 5 2p b 5 a 5 b 20 40 60 80 100 SE +/- 0.14, N = 3 78.48 76.81 76.63 48.52 48.51 MIN: 77.64 / MAX: 80.46 MIN: 76.07 / MAX: 77.73 MIN: 75.97 / MAX: 78.17 MIN: 48.32 / MAX: 48.91 MIN: 48.29 / MAX: 48.79
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon Obj a 5 2p b 5 2p a 5 b 5 a 16 32 48 64 80 SE +/- 0.08, N = 3 70.52 68.70 68.69 44.19 43.96 MIN: 69.67 / MAX: 71.94 MIN: 67.96 / MAX: 69.64 MIN: 68.03 / MAX: 70.15 MIN: 43.94 / MAX: 44.51 MIN: 43.73 / MAX: 44.3
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon 5 2p a a b 5 2p b 5 b 5 a 16 32 48 64 80 SE +/- 0.01, N = 3 73.96 73.84 73.83 73.78 45.11 44.91 MIN: 73.12 / MAX: 75.27 MIN: 73.31 / MAX: 75.9 MIN: 73.34 / MAX: 74.66 MIN: 72.91 / MAX: 74.82 MIN: 44.88 / MAX: 45.48 MIN: 44.68 / MAX: 45.26
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Asian Dragon Obj b a 5 2p a 5 2p b 5 b 5 a 14 28 42 56 70 SE +/- 0.03, N = 3 64.64 64.51 64.41 64.04 39.22 39.19 MIN: 64.13 / MAX: 65.46 MIN: 63.96 / MAX: 66.18 MIN: 63.78 / MAX: 65.49 MIN: 63.29 / MAX: 64.92 MIN: 39 / MAX: 39.63 MIN: 38.97 / MAX: 39.59
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 4 - Input: Bosphorus 4K a 5 2p b b 5 2p a 5 b 5 a 1.0942 2.1884 3.2826 4.3768 5.471 SE +/- 0.021, N = 3 4.863 4.842 4.826 4.784 4.760 4.743 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 8 - Input: Bosphorus 4K a 5 b 5 2p b b 5 a 5 2p a 16 32 48 64 80 SE +/- 0.56, N = 12 73.44 70.86 69.54 67.55 65.34 62.84 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 12 - Input: Bosphorus 4K 5 b a 5 a b 5 2p b 5 2p a 50 100 150 200 250 SE +/- 0.73, N = 3 226.73 222.84 220.81 214.93 176.11 169.11 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 13 - Input: Bosphorus 4K 5 a b 5 b a 5 2p b 5 2p a 40 80 120 160 200 SE +/- 0.70, N = 3 199.69 198.14 196.06 195.92 172.57 169.66 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 4 - Input: Bosphorus 1080p 5 b 5 a 5 2p b 5 2p a a b 3 6 9 12 15 SE +/- 0.02, N = 3 10.83 10.76 10.50 10.41 10.30 10.23 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 8 - Input: Bosphorus 1080p a b 5 b 5 a 5 2p a 5 2p b 20 40 60 80 100 SE +/- 1.23, N = 5 109.98 109.71 108.36 107.38 107.10 104.17 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 12 - Input: Bosphorus 1080p 5 a 5 b a b 5 2p b 5 2p a 140 280 420 560 700 SE +/- 2.97, N = 3 629.30 622.73 604.84 601.98 565.06 540.73 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.5 Encoder Mode: Preset 13 - Input: Bosphorus 1080p 5 a 5 b a b 5 2p b 5 2p a 120 240 360 480 600 SE +/- 5.77, N = 3 571.08 560.57 552.24 549.83 546.03 525.15 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.8 Video Input: Bosphorus 4K - Video Preset: Fast 5 a 5 b a b 5 2p b 5 2p a 2 4 6 8 10 SE +/- 0.010, N = 3 6.406 6.390 6.286 6.128 5.768 5.548 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.8 Video Input: Bosphorus 4K - Video Preset: Faster 5 b 5 a a b 5 2p b 5 2p a 3 6 9 12 15 SE +/- 0.022, N = 3 12.020 11.961 11.367 11.364 9.906 9.574 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
VVenC Video Input: Bosphorus 1080p - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.8 Video Input: Bosphorus 1080p - Video Preset: Fast 5 b 5 a a b 5 2p b 5 2p a 4 8 12 16 20 SE +/- 0.10, N = 3 17.25 16.85 16.55 16.37 15.04 14.81 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
VVenC Video Input: Bosphorus 1080p - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.8 Video Input: Bosphorus 1080p - Video Preset: Faster 5 a 5 b b a 5 2p a 5 2p b 7 14 21 28 35 SE +/- 0.03, N = 3 31.84 31.80 30.11 30.01 24.49 24.27 1. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate 5 2p b 5 2p a a b 5 b 5 a 7 14 21 28 35 SE +/- 0.25, N = 15 31.76 31.34 29.38 29.05 18.64 17.87 1. (CC) gcc options: -O3 -march=native -fopenmp
OpenVKL Benchmark: vklBenchmark ISPC OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC a b 5 2p b 5 2p a 5 a 5 b 100 200 300 400 500 SE +/- 0.33, N = 3 470 469 452 452 340 339 MIN: 84 / MAX: 2616 MIN: 84 / MAX: 2565 MIN: 99 / MAX: 2013 MIN: 98 / MAX: 1875 MIN: 55 / MAX: 2309 MIN: 54 / MAX: 2307
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 6.0 Time To Compile 5 2p b 5 2p a a b 5 a 5 b 5 10 15 20 25 SE +/- 0.03, N = 3 15.34 15.46 16.93 17.04 20.38 20.64
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja 5 2p b 5 2p a b a 5 a 5 b 50 100 150 200 250 SE +/- 0.08, N = 3 138.57 138.72 164.45 165.71 230.38 231.09
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles 5 2p a 5 2p b a b 5 a 5 b 60 120 180 240 300 SE +/- 0.96, N = 3 219.40 221.79 246.96 248.48 290.54 297.22
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live 5 a 5 b 5 2p b b a 5 2p a 12 24 36 48 60 SE +/- 0.13, N = 3 45.71 45.79 47.07 47.21 47.74 54.58 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live 5 a 5 b 5 2p b b a 5 2p a 20 40 60 80 100 SE +/- 0.29, N = 3 110.49 110.29 107.29 106.98 105.78 92.52 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload 5 a 5 b 5 2p a 5 2p b b a 30 60 90 120 150 SE +/- 0.05, N = 3 110.01 110.14 112.82 114.26 116.81 116.93 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Upload OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Upload 5 a 5 b 5 2p a 5 2p b b a 5 10 15 20 25 SE +/- 0.01, N = 3 22.95 22.93 22.38 22.10 21.62 21.59 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform 5 a 5 2p a b a 5 2p b 40 80 120 160 200 SE +/- 0.08, N = 3 162.19 170.94 172.57 173.23 173.56 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Platform OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Platform 5 a 5 2p a b a 5 2p b 11 22 33 44 55 SE +/- 0.02, N = 3 46.70 44.31 43.90 43.73 43.64 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand 5 a 5 2p a b 5 2p b a 40 80 120 160 200 SE +/- 0.15, N = 3 161.54 168.46 172.53 173.05 173.47 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
FFmpeg Encoder: libx265 - Scenario: Video On Demand OpenBenchmarking.org FPS, More Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Video On Demand 5 a 5 2p a b 5 2p b a 11 22 33 44 55 SE +/- 0.04, N = 3 46.89 44.97 43.90 43.77 43.67 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare 5 2p a 5 2p b b a 5 a 2 4 6 8 10 SE +/- 0.026, N = 3 8.285 8.222 7.299 7.290 5.022 1. (CXX) g++ options: -O3
Google Draco Model: Lion OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Lion 5 2p a 5 a 5 2p b a b 1000 2000 3000 4000 5000 SE +/- 7.02, N = 3 4734 4760 4818 4867 4885 1. (CXX) g++ options: -O3
Google Draco Model: Church Facade OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Church Facade 5 2p a 5 a 5 2p b a b 1300 2600 3900 5200 6500 SE +/- 3.21, N = 3 5682 5718 5729 5793 5833 1. (CXX) g++ options: -O3
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: BMW27 - Compute: CPU-Only 5 2p b 5 2p a b a 5 a 10 20 30 40 50 SE +/- 0.03, N = 3 22.51 22.59 27.60 27.61 42.52
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Classroom - Compute: CPU-Only 5 2p a 5 2p b b a 5 a 30 60 90 120 150 SE +/- 0.17, N = 3 58.55 58.57 72.02 72.45 113.31
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Fishy Cat - Compute: CPU-Only 5 2p b 5 2p a b a 5 a 12 24 36 48 60 SE +/- 0.04, N = 3 27.90 27.96 34.61 34.77 52.68
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Barbershop - Compute: CPU-Only 5 2p b 5 2p a b a 5 a 90 180 270 360 450 SE +/- 0.09, N = 3 213.46 213.60 259.87 260.83 408.79
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Pabellon Barcelona - Compute: CPU-Only 5 2p a 5 2p b b a 5 a 30 60 90 120 150 SE +/- 0.10, N = 3 71.64 71.73 88.73 88.76 136.58
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: BLAS 5 2p a 5 2p b b 5 a 2K 4K 6K 8K 10K 8284 7991 5554 1419 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: Eigen 5 2p a 5 2p b b 5 a 2K 4K 6K 8K 10K 8286 7816 5142 1238 1. (CXX) g++ options: -flto -pthread
CloverLeaf Lagrangian-Eulerian Hydrodynamics OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics b 5 a 5 2p b 5 2p a 4 8 12 16 20 11.34 12.09 15.51 15.67 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Pennant Test: sedovbig OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: sedovbig 5 2p a 5 2p b b 5 a 4 8 12 16 20 7.656369 7.793325 9.563610 14.001110 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
Pennant Test: leblancbig OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig 5 2p a 5 2p b b 5 a 2 4 6 8 10 4.294731 4.418012 5.104078 7.974022 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
Xcompact3d Incompact3d Input: input.i3d 129 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction 5 2p b 5 2p a b 5 a 1.1402 2.2804 3.4206 4.5608 5.701 2.48386908 2.48654294 4.43804121 5.06756401 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
Xcompact3d Incompact3d Input: input.i3d 193 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction 5 2p a 5 2p b b 5 a 5 10 15 20 25 10.62 10.76 17.21 19.63 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
LULESH OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 5 2p b 5 2p a b 5 a 9K 18K 27K 36K 45K 42551.90 42030.04 22257.14 20920.49 1. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
Zstd Compression Compression Level: 3 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3 - Compression Speed 5 a b 5 2p a 5 2p b 600 1200 1800 2400 3000 2856.6 2819.0 2783.7 2775.9 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 3 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3 - Decompression Speed 5 a 5 2p b 5 2p a b 300 600 900 1200 1500 1326.5 1309.5 1306.7 1277.3 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 8 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Compression Speed 5 a 5 2p a 5 2p b b 200 400 600 800 1000 1067.8 1024.0 1013.4 988.5 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 8 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8 - Decompression Speed 5 2p b 5 a 5 2p a b 300 600 900 1200 1500 1441.1 1438.8 1437.5 1390.0 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 12 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Compression Speed 5 a 5 2p a 5 2p b b 60 120 180 240 300 289.1 283.6 282.8 270.8 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 12 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 12 - Decompression Speed 5 2p b 5 2p a 5 a b 300 600 900 1200 1500 1498.9 1482.7 1478.1 1445.9 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 19 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Compression Speed 5 a 5 2p b 5 2p a b 4 8 12 16 20 18.2 18.0 18.0 17.6 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 19 - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19 - Decompression Speed 5 2p a 5 2p b 5 a b 300 600 900 1200 1500 1315.6 1312.0 1304.2 1276.8 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 3, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Compression Speed 5 a 5 2p a b 5 2p b 200 400 600 800 1000 854.2 808.5 752.6 741.5 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 3, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 3, Long Mode - Decompression Speed 5 a 5 2p b 5 2p a b 300 600 900 1200 1500 1361.5 1336.5 1332.3 1300.8 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 8, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Compression Speed 5 a b 5 2p a 5 2p b 200 400 600 800 1000 792.1 744.5 702.8 702.2 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 8, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 8, Long Mode - Decompression Speed 5 a 5 2p a 5 2p b b 300 600 900 1200 1500 1460.1 1454.7 1445.1 1434.2 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 19, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Compression Speed 5 2p a 5 a 5 2p b b 3 6 9 12 15 9.57 9.54 9.50 9.30 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
Zstd Compression Compression Level: 19, Long Mode - Decompression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.4 Compression Level: 19, Long Mode - Decompression Speed 5 a 5 2p b 5 2p a b 300 600 900 1200 1500 1229.1 1227.1 1222.9 1190.8 1. (CC) gcc options: -O3 -pthread -lz -llzma -llz4
7-Zip Compression Test: Compression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Compression Rating 5 2p a b 5 2p b 5 a 90K 180K 270K 360K 450K 403739 396928 396844 271918 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating 5 2p a 5 2p b b 5 a 100K 200K 300K 400K 500K 453996 440740 411213 244220 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU b 5 a 5 2p a 5 2p b 0.649 1.298 1.947 2.596 3.245 1.26107 1.37996 2.67801 2.88451 MIN: 1.06 MIN: 1.25 MIN: 1.89 MIN: 1.79 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 5 a 5 2p a 5 2p b b 0.2804 0.5608 0.8412 1.1216 1.402 0.625930 0.911806 0.917226 1.246180 MIN: 0.57 MIN: 0.78 MIN: 0.77 MIN: 1.13 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 5 2p b 5 2p a b 5 a 0.258 0.516 0.774 1.032 1.29 0.669349 0.674336 0.827622 1.146560 MIN: 0.6 MIN: 0.62 MIN: 0.78 MIN: 1.09 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 5 a b 5 2p b 5 2p a 3 6 9 12 15 4.49565 6.92145 10.36850 10.52210 MIN: 3.9 MIN: 6.32 MIN: 8.54 MIN: 8.88 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 5 2p a 5 2p b 5 a b 0.7031 1.4062 2.1093 2.8124 3.5155 1.85167 1.89859 2.76234 3.12487 MIN: 1.61 MIN: 1.58 MIN: 2.59 MIN: 2.06 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 5 a b 5 2p b 5 2p a 300 600 900 1200 1500 1182.61 1183.63 1385.33 1390.36 MIN: 1161.83 MIN: 1162.73 MIN: 1314.76 MIN: 1287.43 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.1 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 5 a b 5 2p a 5 2p b 300 600 900 1200 1500 679.65 749.62 1212.84 1305.96 MIN: 664.64 MIN: 731.75 MIN: 1070.52 MIN: 1060.61 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread
eSpeak-NG Speech Engine Text-To-Speech Synthesis OpenBenchmarking.org Seconds, Fewer Is Better eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis 5 a 5 2p a 5 2p b b 7 14 21 28 35 27.83 27.87 28.14 28.16 1. (CC) gcc options: -O2 -std=c99
ClickHouse 100M Rows Hits Dataset, First Run / Cold Cache OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache 5 2p a 5 2p b 5 a b 100 200 300 400 500 445.18 440.56 437.20 428.51 MIN: 41.18 / MAX: 3157.89 MIN: 40.98 / MAX: 4000 MIN: 24.3 / MAX: 6000 MIN: 34.8 / MAX: 5454.55
ClickHouse 100M Rows Hits Dataset, Second Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run 5 2p b 5 2p a 5 a b 100 200 300 400 500 467.46 463.68 457.81 439.07 MIN: 40.6 / MAX: 4615.38 MIN: 41.64 / MAX: 4615.38 MIN: 24.13 / MAX: 5454.55 MIN: 35.82 / MAX: 6000
ClickHouse 100M Rows Hits Dataset, Third Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run 5 2p a 5 a 5 2p b b 100 200 300 400 500 461.53 456.30 448.03 437.35 MIN: 41.49 / MAX: 3000 MIN: 24.65 / MAX: 5454.55 MIN: 41.38 / MAX: 2608.7 MIN: 35.59 / MAX: 5454.55
ASKAP Test: tConvolve MT - Gridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Gridding 5 2p a 5 2p b 5 a b 1700 3400 5100 6800 8500 7738.59 7176.41 6599.68 5493.35 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve MT - Degridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Degridding 5 2p a 5 2p b 5 a b 3K 6K 9K 12K 15K 12506.70 11068.80 9611.05 8308.33 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve MPI - Degridding OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding 5 2p b 5 2p a b 5 a 9K 18K 27K 36K 45K 41983.3 41983.3 32799.5 20991.7 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve MPI - Gridding OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding 5 2p b 5 2p a b 5 a 11K 22K 33K 44K 55K 51199.1 49980.1 36827.5 24990.1 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve OpenMP - Gridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding b 5 a 5 2p b 5 2p a 4K 8K 12K 16K 20K 20481.2 17750.4 12678.9 12102.5 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve OpenMP - Degridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding 5 a b 5 2p a 5 2p b 4K 8K 12K 16K 20K 19018.3 19018.3 16641.0 15662.1 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: Hogbom Clean OpenMP OpenBenchmarking.org Iterations Per Second, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP 5 a b 5 2p a 5 2p b 200 400 600 800 1000 869.57 806.45 436.68 434.78 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mobilenet 5 a b 5 2p a 5 2p b 30 60 90 120 150 13.70 17.84 77.77 115.68 MIN: 13.55 / MAX: 14.38 MIN: 17.55 / MAX: 25.78 MIN: 67.11 / MAX: 156 MIN: 64.45 / MAX: 159.93 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v2-v2 - Model: mobilenet-v2 5 a b 5 2p a 5 2p b 9 18 27 36 45 6.46 11.30 27.70 38.67 MIN: 6.35 / MAX: 8.73 MIN: 9.74 / MAX: 14.96 MIN: 23.18 / MAX: 43.54 MIN: 28.02 / MAX: 119.64 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU-v3-v3 - Model: mobilenet-v3 5 a b 5 2p a 5 2p b 7 14 21 28 35 6.19 10.29 21.26 28.88 MIN: 6.05 / MAX: 6.93 MIN: 9.51 / MAX: 11.93 MIN: 20.79 / MAX: 28.25 MIN: 23.66 / MAX: 168.43 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: shufflenet-v2 5 a b 5 2p a 5 2p b 9 18 27 36 45 7.73 15.60 33.27 37.89 MIN: 7.58 / MAX: 9.71 MIN: 12.95 / MAX: 19.73 MIN: 29.37 / MAX: 96.69 MIN: 34.63 / MAX: 113.32 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: mnasnet 5 a b 5 2p a 5 2p b 11 22 33 44 55 6.08 11.71 38.49 49.46 MIN: 6.01 / MAX: 6.54 MIN: 9.43 / MAX: 20.81 MIN: 25.51 / MAX: 75.24 MIN: 36.42 / MAX: 176.46 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: efficientnet-b0 5 a b 5 2p a 5 2p b 14 28 42 56 70 9.03 15.44 35.12 60.79 MIN: 8.93 / MAX: 11.07 MIN: 13.63 / MAX: 18.67 MIN: 33.83 / MAX: 41.96 MIN: 47.67 / MAX: 141.85 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: blazeface 5 a b 5 2p a 5 2p b 6 12 18 24 30 3.82 8.12 14.65 24.56 MIN: 3.45 / MAX: 79.74 MIN: 6.94 / MAX: 11.1 MIN: 11.34 / MAX: 73.36 MIN: 20.64 / MAX: 91.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: googlenet 5 a b 5 2p a 5 2p b 30 60 90 120 150 14.11 19.09 93.29 112.43 MIN: 13.96 / MAX: 17.22 MIN: 18.77 / MAX: 25.76 MIN: 52.46 / MAX: 137.19 MIN: 29.99 / MAX: 148.59 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vgg16 5 a b 5 2p b 5 2p a 8 16 24 32 40 21.08 24.04 32.81 33.55 MIN: 20.78 / MAX: 24.35 MIN: 23.49 / MAX: 30.66 MIN: 30.06 / MAX: 44.76 MIN: 28.65 / MAX: 42.53 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet18 5 a b 5 2p a 5 2p b 12 24 36 48 60 8.12 10.89 38.94 51.80 MIN: 8.01 / MAX: 10.04 MIN: 10.68 / MAX: 11.74 MIN: 16.05 / MAX: 124.98 MIN: 16.09 / MAX: 93.56 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: alexnet 5 a b 5 2p a 5 2p b 7 14 21 28 35 5.48 7.13 18.60 28.55 MIN: 5.36 / MAX: 6.34 MIN: 6.97 / MAX: 7.76 MIN: 17.59 / MAX: 34.64 MIN: 12.6 / MAX: 62.18 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: resnet50 5 a b 5 2p a 5 2p b 30 60 90 120 150 14.80 19.58 80.81 120.27 MIN: 14.6 / MAX: 16.84 MIN: 19.15 / MAX: 44.79 MIN: 62.51 / MAX: 112.38 MIN: 42.99 / MAX: 192.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: yolov4-tiny 5 a b 5 2p a 5 2p b 10 20 30 40 50 19.98 23.92 38.10 45.89 MIN: 19.53 / MAX: 23.19 MIN: 23.17 / MAX: 30.48 MIN: 29.08 / MAX: 101.85 MIN: 34.08 / MAX: 64.66 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: squeezenet_ssd OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: squeezenet_ssd 5 a b 5 2p b 5 2p a 9 18 27 36 45 14.85 19.32 35.81 37.17 MIN: 14.49 / MAX: 25.32 MIN: 18.86 / MAX: 22.39 MIN: 29.14 / MAX: 58.45 MIN: 30.62 / MAX: 51.54 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: regnety_400m OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: regnety_400m 5 a b 5 2p a 5 2p b 30 60 90 120 150 26.34 53.52 100.65 128.35 MIN: 25.99 / MAX: 28.26 MIN: 50.93 / MAX: 71.06 MIN: 97.81 / MAX: 136.12 MIN: 111.43 / MAX: 240.27 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vision_transformer OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: vision_transformer 5 a b 5 2p a 5 2p b 30 60 90 120 150 126.26 133.39 144.31 145.49 MIN: 125.42 / MAX: 132.03 MIN: 129.7 / MAX: 252.77 MIN: 140.5 / MAX: 157.63 MIN: 141.27 / MAX: 245.34 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: FastestDet OpenBenchmarking.org ms, Fewer Is Better NCNN 20220729 Target: CPU - Model: FastestDet 5 a b 5 2p a 5 2p b 12 24 36 48 60 9.25 19.08 40.45 53.25 MIN: 9.12 / MAX: 9.81 MIN: 13.65 / MAX: 21.7 MIN: 27.4 / MAX: 462.07 MIN: 30.07 / MAX: 66.77 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU 5 2p a 5 2p b b 5 a 4 8 12 16 20 15.86 15.76 12.16 8.23 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU 5 a 5 2p a 5 2p b b 600 1200 1800 2400 3000 1935.60 2013.52 2020.21 2608.34 MIN: 1852.05 / MAX: 1974.19 MIN: 1890.96 / MAX: 2802.82 MIN: 1823.96 / MAX: 3111.51 MIN: 2421.38 / MAX: 2754.89 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 5 2p b 5 2p a b 5 a 3 6 9 12 15 10.63 10.54 8.05 5.48 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 5 a 5 2p b 5 2p a b 800 1600 2400 3200 4000 2881.04 2948.39 2975.15 3911.97 MIN: 1536.21 / MAX: 3142.35 MIN: 1547.54 / MAX: 3537.3 MIN: 2241.37 / MAX: 3616.82 MIN: 3337.4 / MAX: 4451.63 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU 5 2p b 5 2p a b 5 a 3 6 9 12 15 10.64 10.64 8.04 5.47 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU 5 a 5 2p a 5 2p b b 800 1600 2400 3200 4000 2886.12 2946.97 2952.76 3927.00 MIN: 1694.68 / MAX: 3104.67 MIN: 2004.15 / MAX: 3534.38 MIN: 2193.59 / MAX: 3652.32 MIN: 3402.58 / MAX: 4474.47 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 5 2p a 5 2p b b 5 a 400 800 1200 1600 2000 1632.81 1623.83 1205.11 841.49 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 5 a 5 2p a 5 2p b b 6 12 18 24 30 19.00 19.58 19.69 26.54 MIN: 13.62 / MAX: 32.75 MIN: 11.25 / MAX: 73.87 MIN: 11.03 / MAX: 75.83 MIN: 14.19 / MAX: 63.19 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU 5 2p b 5 2p a b 5 a 8 16 24 32 40 34.91 34.83 27.03 17.92 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU 5 a 5 2p b 5 2p a b 300 600 900 1200 1500 886.41 912.42 914.24 1175.01 MIN: 851.09 / MAX: 900.44 MIN: 878.63 / MAX: 988.74 MIN: 797.83 / MAX: 966.84 MIN: 982.69 / MAX: 1202.21 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU 5 2p a 5 2p b b 5 a 500 1000 1500 2000 2500 2504.36 2498.74 1889.05 1244.86 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU 5 2p a 5 2p b 5 a b 4 8 12 16 20 12.76 12.79 12.84 16.93 MIN: 7.65 / MAX: 43.58 MIN: 7.68 / MAX: 43.18 MIN: 6.96 / MAX: 23.28 MIN: 10.73 / MAX: 31.24 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU 5 2p a 5 2p b b 5 a 300 600 900 1200 1500 1594.14 1592.71 1198.45 822.19 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU 5 a 5 2p a 5 2p b b 6 12 18 24 30 19.45 20.06 20.07 26.68 MIN: 11.98 / MAX: 28.4 MIN: 11.41 / MAX: 47.48 MIN: 13.26 / MAX: 75.83 MIN: 15.32 / MAX: 46.54 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU 5 2p b 5 2p a b 5 a 40 80 120 160 200 176.76 175.48 138.84 92.61 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU 5 a 5 2p b 5 2p a b 50 100 150 200 250 172.53 180.91 182.10 230.27 MIN: 81.35 / MAX: 207.95 MIN: 124.49 / MAX: 288.01 MIN: 117.14 / MAX: 548.18 MIN: 166.99 / MAX: 311.89 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU 5 2p b 5 2p a b 5 a 800 1600 2400 3200 4000 3504.15 3501.69 2674.29 1767.13 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU 5 a 5 2p b 5 2p a b 6 12 18 24 30 18.10 18.25 18.26 23.92 MIN: 9.23 / MAX: 28.11 MIN: 8.84 / MAX: 40.73 MIN: 10.53 / MAX: 60.19 MIN: 15.02 / MAX: 35.74 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU 5 2p b 5 2p a b 5 a 500 1000 1500 2000 2500 2524.05 2523.57 1888.20 1252.05 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU 5 2p a 5 2p b 5 a b 4 8 12 16 20 12.66 12.66 12.77 16.93 MIN: 7.58 / MAX: 53.45 MIN: 8.38 / MAX: 48.88 MIN: 7.39 / MAX: 23.62 MIN: 13.88 / MAX: 33.11 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 5 2p a 5 2p b b 5 a 8K 16K 24K 32K 40K 39455.86 38800.34 35737.82 25209.62 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU 5 a 5 2p a 5 2p b b 0.3915 0.783 1.1745 1.566 1.9575 1.26 1.37 1.40 1.74 MIN: 0.69 / MAX: 12.96 MIN: 0.67 / MAX: 28.86 MIN: 0.68 / MAX: 42.1 MIN: 0.84 / MAX: 14.57 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU 5 2p b b 5 a 9K 18K 27K 36K 45K 40352.48 38091.46 27340.96 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU 5 a 5 2p b b 0.3645 0.729 1.0935 1.458 1.8225 1.16 1.33 1.62 MIN: 0.66 / MAX: 12.23 MIN: 0.64 / MAX: 26.34 MIN: 0.69 / MAX: 13.34 1. (CXX) g++ options: -isystem -fsigned-char -ffunction-sections -fdata-sections -msse4.1 -msse4.2 -O3 -fno-strict-overflow -fwrapv -fPIC -fvisibility=hidden -Os -std=c++11 -MD -MT -MF
PETSc Test: Streams OpenBenchmarking.org MB/s, More Is Better PETSc 3.19 Test: Streams 5 2p b b 5 a 16K 32K 48K 64K 80K 74130.18 56185.75 31992.61 1. (CC) gcc options: -fPIC -O3 -O2 -lpthread -ludev -lpciaccess -lm
OpenCV Test: Core OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Core 5 a b 5 2p b 50K 100K 150K 200K 250K 68343 77061 236445 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
OpenCV Test: Graph API OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Graph API 5 a b 5 2p b 90K 180K 270K 360K 450K 206970 235810 419702 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
OpenCV Test: Stitching OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Stitching 5 a b 5 2p b 60K 120K 180K 240K 300K 184032 201160 287492 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
OpenCV Test: Object Detection OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: Object Detection 5 a b 5 2p b 20K 40K 60K 80K 100K 27739 31910 88553 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
OpenCV Test: DNN - Deep Neural Network OpenBenchmarking.org ms, Fewer Is Better OpenCV 4.7 Test: DNN - Deep Neural Network b 5 a 5 2p b 20K 40K 60K 80K 100K 39756 39997 87133 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
Phoronix Test Suite v10.8.5