tests for a future article.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2305086-NE-7773X808085 7773x - Phoronix Test Suite 7773x tests for a future article.
HTML result view exported from: https://openbenchmarking.org/result/2305086-NE-7773X808085&sro&export=pdf .
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 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 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 AMD EPYC 7373X 16-Core @ 3.05GHz (16 Cores / 32 Threads) 256GB 2 x AMD EPYC 7373X 16-Core @ 3.05GHz (32 Cores / 64 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 z3: 1.smt2 z3: 2.smt2 a b 5 a 5 b 5 2p a 5 2p b 7373x 2 x AMD EPYC 7373X 16-Core 7373X 2P 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 2854.1 26.386727 78.749334 149.00372 596.96916 37.795953129 91.272692415 35.505846619 51.264616343 78.600264543 31573 70803 31651 59680000 1959000 23.589 21.3851 24.9073 23.3587 23.5684 20.1045 3.993 49.204 152.194 147.354 10.023 92.984 487.076 506.517 5.719 11.224 15.801 31.274 8.024336 213 29.979 391.792 433.971 44.06 114.63 110.605502327 22.83 162.296027345 46.67 162.33 46.66 2.985 4563 5406 78.75 212.97 95.96 768.94 252.02 1955 1714 18.26 23.87947 14.50909 6.86468983 25.2174606 10188.248 2661 1281.1 913.5 1523.9 305.1 1557.2 19.2 1389.6 865.4 1413 727 1541.7 10.1 1312.9 155879 128235 1.87446 0.609746 1.93416 6.82625 3.77803 1760.49 906.609 26.507 351.01 386.60 384.96 8783.7 10352.6 11662 15435 13312.8 14792 729.927 12.23 4.92 4.5 5.86 4.52 6.97 2.4 11.76 20.47 7.05 4.76 13.25 18.23 12.71 17.6 140.06 7.35 4.74 1684.86 3.17 2493.98 3.16 2496.52 400.07 19.99 9.71 821.36 652.03 12.26 454.9 17.58 52.66 151.73 964.19 16.58 598.4 13.36 14994.76 1.06 16278.25 0.97 2894.2 24.265467 76.087652 114.44612 334.89524 18.406629769 48.717394203 18.033266557 23.273738774 43.780135473 62360 136260 62244 67213000 3735000 44.8797 40.3604 42.8312 38.7779 40.5062 35.2408 4.644 58.355 163.328 166.539 10.195 100.587 525.637 510.787 5.877 10.127 14.787 24.314 14.481647 309 19.56 211.489 277.061 45.467307319 111.07 113.672822126 22.21 169.985789453 44.56 165.871463966 45.67 5.248 4642 5498 40.61 108.3 49.27 393.87 127.96 1676 1450 30.67 13.28648 7.465373 3.9324739 13.799696 27032.903 2842.3 1384.1 1022.3 1523.6 288.9 1563 18.6 1375.8 854.9 1415.4 680.9 1559.8 10.1 1289.9 241803 232623 2.05818 0.750853 1.03456 5.78798 2.70057 1377.39 1177.81 26.467 420.29 438.36 429.56 9627.34 11891.4 21866.3 29155.1 11576.3 13312.8 458.716 67.15 28.85 24.19 31.88 37.62 46.67 18.4 27.63 32.77 13.62 9.78 25.38 31.98 22.58 86.22 145.33 21.36 8.86 1782.06 6.17 2547.35 6.1 2595.65 786.17 20.33 19.31 826.77 1274.04 12.54 892.67 17.91 98.39 162.5 1914.22 16.7 1181.75 13.52 29028.25 1.09 31155.59 1.01 85621 263067 232977 31850 65657 21.218 70.286 2907.3 24.672394 74.593848 116.27444 332.03432 17.820390395 49.831882811 18.331770412 23.898547572 43.859744419 62551 139127 62302 68530000 3739000 44.216 39.9992 42.74 38.4256 40.1812 34.8566 4.676 58.697 162.784 159.261 10.434 101.821 522.16 490.986 5.774 10.083 14.936 24.216 14.704153 306 19.697 212.52 271.829 50.590873871 99.82 112.961052185 22.35 165.700132761 45.72 170.679636105 44.38 5.193 4614 5485 40.47 108.06 49.44 396.8 127.5 1709 1357 28.59 13.31026 7.419739 4.75395298 13.717701 27107.143 2801.4 1362.4 992.4 1518.1 295 1552 18.9 1394.3 813.6 1414.1 671.6 1538.4 10.1 1292.1 243862 236136 2.17496 0.948143 1.04348 5.87951 2.73357 1370.61 1349.92 26.514 420.94 433.56 436.29 9605.63 12025.7 21420.1 29155.1 12102.5 13312.8 458.716 79.82 33.16 29.52 31.65 38.98 46.69 18.75 45.41 29.82 15.14 10.29 30.71 33.74 23.89 84.88 144.55 39.48 98738 363745 228123 32187 82360 21.717 70.51 OpenBenchmarking.org
QuantLib OpenBenchmarking.org MFLOPS, More Is Better QuantLib 1.30 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 600 1200 1800 2400 3000 SE +/- 25.52, N = 3 2894.2 2760.9 2850.8 2756.9 2820.4 2907.3 2854.1 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 6 12 18 24 30 24.27 22.56 23.34 22.34 22.71 24.67 26.39 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 20 40 60 80 100 76.09 33.00 32.97 50.75 50.70 74.59 78.75 40.45 40.24 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 30 60 90 120 150 114.45 99.38 99.93 117.44 117.60 116.27 149.00 25.35 120.39 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 130 260 390 520 650 334.90 205.46 203.65 428.66 427.71 332.03 596.97 40.48 363.74 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 9 18 27 36 45 SE +/- 0.038048290, N = 3 18.406629769 9.609453868 9.594769350 18.862199070 19.355553092 17.820390395 37.795953129 11.678414616 11.753321460 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 20 40 60 80 100 SE +/- 0.29, N = 3 48.72 25.22 25.47 49.14 48.74 49.83 91.27 30.52 30.12 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 8 16 24 32 40 SE +/- 0.15, N = 3 18.03 11.22 11.80 19.09 19.63 18.33 35.51 13.86 13.53 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 12 24 36 48 60 SE +/- 0.20, N = 3 23.27 14.49 14.42 24.99 25.09 23.90 51.26 17.21 16.82 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 20 40 60 80 100 SE +/- 0.13, N = 3 43.78 23.94 23.27 45.71 44.33 43.86 78.60 28.08 27.47 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 30K 60K 90K 120K 150K SE +/- 99.80, N = 3 62360 118502 117542 60192 60152 62551 31573 86230 91276 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 60K 120K 180K 240K 300K SE +/- 297.59, N = 3 136260 259413 258457 130848 131072 139127 70803 201388 202957 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 30K 60K 90K 120K 150K SE +/- 185.66, N = 3 62244 118579 117771 60325 60345 62302 31651 86460 87360 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 30M 60M 90M 120M 150M SE +/- 266743.32, N = 3 67213000 79002000 73260000 96059000 94924000 68530000 59680000 136796000 135165000 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 1.5M 3M 4.5M 6M 7.5M SE +/- 1000.00, N = 3 3735000 6845000 6683000 3621000 3605000 3739000 1959000 5534000 5543000 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a 20 40 60 80 100 SE +/- 0.05, N = 3 44.88 81.45 81.09 43.95 43.98 44.22 23.59 69.11 MIN: 44.32 / MAX: 45.69 MIN: 80.49 / MAX: 83.06 MIN: 80.03 / MAX: 82.56 MIN: 43.49 / MAX: 44.42 MIN: 43.29 / MAX: 44.67 MIN: 43.54 / MAX: 44.81 MIN: 23.47 / MAX: 23.76 MIN: 68.18 / MAX: 71.75
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer ISPC - Model: Crown 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 16 32 48 64 80 SE +/- 0.11, N = 3 40.36 73.33 73.26 40.24 40.12 40.00 21.39 63.37 63.36 MIN: 39.78 / MAX: 41.03 MIN: 71.99 / MAX: 75.06 MIN: 72.13 / MAX: 74.82 MIN: 39.64 / MAX: 40.95 MIN: 39.64 / MAX: 40.56 MIN: 39.56 / MAX: 40.59 MIN: 21.25 / MAX: 21.62 MIN: 62.18 / MAX: 66.58 MIN: 62.44 / MAX: 66.52
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 4.0.1 Binary: Pathtracer - Model: Asian Dragon 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a 20 40 60 80 100 SE +/- 0.14, N = 3 42.83 76.81 76.63 48.52 48.51 42.74 24.91 78.48 MIN: 42.56 / MAX: 43.84 MIN: 76.07 / MAX: 77.73 MIN: 75.97 / MAX: 78.17 MIN: 48.32 / MAX: 48.91 MIN: 48.29 / MAX: 48.79 MIN: 42.44 / MAX: 44.03 MIN: 24.47 / MAX: 26.52 MIN: 77.64 / MAX: 80.46
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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a 16 32 48 64 80 SE +/- 0.08, N = 3 38.78 68.69 68.70 43.96 44.19 38.43 23.36 70.52 MIN: 38.54 / MAX: 39.74 MIN: 68.03 / MAX: 70.15 MIN: 67.96 / MAX: 69.64 MIN: 43.73 / MAX: 44.3 MIN: 43.94 / MAX: 44.51 MIN: 38.17 / MAX: 39.69 MIN: 22.36 / MAX: 24.19 MIN: 69.67 / MAX: 71.94
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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 16 32 48 64 80 SE +/- 0.01, N = 3 40.51 73.96 73.78 44.91 45.11 40.18 23.57 73.84 73.83 MIN: 40.25 / MAX: 41.33 MIN: 73.12 / MAX: 75.27 MIN: 72.91 / MAX: 74.82 MIN: 44.68 / MAX: 45.26 MIN: 44.88 / MAX: 45.48 MIN: 39.87 / MAX: 41.09 MIN: 23.24 / MAX: 24.98 MIN: 73.31 / MAX: 75.9 MIN: 73.34 / MAX: 74.66
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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 14 28 42 56 70 SE +/- 0.03, N = 3 35.24 64.41 64.04 39.19 39.22 34.86 20.10 64.51 64.64 MIN: 35.01 / MAX: 35.91 MIN: 63.78 / MAX: 65.49 MIN: 63.29 / MAX: 64.92 MIN: 38.97 / MAX: 39.59 MIN: 39 / MAX: 39.63 MIN: 34.63 / MAX: 35.47 MIN: 20.01 / MAX: 21.52 MIN: 63.96 / MAX: 66.18 MIN: 64.13 / MAX: 65.46
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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 1.0942 2.1884 3.2826 4.3768 5.471 SE +/- 0.021, N = 3 4.644 4.784 4.842 4.743 4.760 4.676 3.993 4.863 4.826 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 16 32 48 64 80 SE +/- 0.56, N = 12 58.36 62.84 69.54 65.34 70.86 58.70 49.20 73.44 67.55 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 50 100 150 200 250 SE +/- 0.73, N = 3 163.33 169.11 176.11 220.81 226.73 162.78 152.19 222.84 214.93 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 40 80 120 160 200 SE +/- 0.70, N = 3 166.54 169.66 172.57 199.69 196.06 159.26 147.35 195.92 198.14 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 3 6 9 12 15 SE +/- 0.02, N = 3 10.20 10.41 10.50 10.76 10.83 10.43 10.02 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 20 40 60 80 100 SE +/- 1.23, N = 5 100.59 107.10 104.17 107.38 108.36 101.82 92.98 109.98 109.71 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 140 280 420 560 700 SE +/- 2.97, N = 3 525.64 540.73 565.06 629.30 622.73 522.16 487.08 604.84 601.98 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 120 240 360 480 600 SE +/- 5.77, N = 3 510.79 525.15 546.03 571.08 560.57 490.99 506.52 552.24 549.83 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 2 4 6 8 10 SE +/- 0.010, N = 3 5.877 5.548 5.768 6.406 6.390 5.774 5.719 6.286 6.128 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 3 6 9 12 15 SE +/- 0.022, N = 3 10.127 9.574 9.906 11.961 12.020 10.083 11.224 11.367 11.364 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 4 8 12 16 20 SE +/- 0.10, N = 3 14.79 14.81 15.04 16.85 17.25 14.94 15.80 16.55 16.37 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 7 14 21 28 35 SE +/- 0.03, N = 3 24.31 24.49 24.27 31.84 31.80 24.22 31.27 30.01 30.11 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 7 14 21 28 35 SE +/- 0.247911, N = 15 14.481647 31.344515 31.760876 17.874500 18.640300 14.704153 8.024336 29.383496 29.045690 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 100 200 300 400 500 SE +/- 0.33, N = 3 309 452 452 340 339 306 213 470 469 MIN: 54 / MAX: 1845 MIN: 98 / MAX: 1875 MIN: 99 / MAX: 2013 MIN: 55 / MAX: 2309 MIN: 54 / MAX: 2307 MIN: 54 / MAX: 1694 MIN: 29 / MAX: 1843 MIN: 84 / MAX: 2616 MIN: 84 / MAX: 2565
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 6.0 Time To Compile 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 7 14 21 28 35 SE +/- 0.03, N = 3 19.56 15.46 15.34 20.38 20.64 19.70 29.98 16.93 17.04
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Ninja 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 80 160 240 320 400 SE +/- 0.08, N = 3 211.49 138.72 138.57 230.38 231.09 212.52 391.79 165.71 164.45
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 16.0 Build System: Unix Makefiles 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 90 180 270 360 450 SE +/- 0.96, N = 3 277.06 219.40 221.79 290.54 297.22 271.83 433.97 246.96 248.48
FFmpeg Encoder: libx265 - Scenario: Live OpenBenchmarking.org Seconds, Fewer Is Better FFmpeg 6.0 Encoder: libx265 - Scenario: Live 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 12 24 36 48 60 SE +/- 0.13, N = 3 45.47 54.58 47.07 45.71 45.79 50.59 44.06 47.74 47.21 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 30 60 90 120 150 SE +/- 0.29, N = 3 111.07 92.52 107.29 110.49 110.29 99.82 114.63 105.78 106.98 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 30 60 90 120 150 SE +/- 0.05, N = 3 113.67 112.82 114.26 110.01 110.14 112.96 110.61 116.93 116.81 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 5 b 7373X 2P 7373x a b 5 10 15 20 25 SE +/- 0.01, N = 3 22.21 22.38 22.10 22.95 22.93 22.35 22.83 21.59 21.62 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 40 80 120 160 200 SE +/- 0.08, N = 3 169.99 170.94 173.56 162.19 165.70 162.30 173.23 172.57 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 11 22 33 44 55 SE +/- 0.02, N = 3 44.56 44.31 43.64 46.70 45.72 46.67 43.73 43.90 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 40 80 120 160 200 SE +/- 0.15, N = 3 165.87 168.46 173.05 161.54 170.68 162.33 173.47 172.53 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 11 22 33 44 55 SE +/- 0.04, N = 3 45.67 44.97 43.77 46.89 44.38 46.66 43.67 43.90 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 2 4 6 8 10 SE +/- 0.026, N = 3 5.248 8.285 8.222 5.022 5.193 2.985 7.290 7.299 1. (CXX) g++ options: -O3
Google Draco Model: Lion OpenBenchmarking.org ms, Fewer Is Better Google Draco 1.5.6 Model: Lion 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 1000 2000 3000 4000 5000 SE +/- 7.02, N = 3 4642 4734 4818 4760 4614 4563 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 1300 2600 3900 5200 6500 SE +/- 3.21, N = 3 5498 5682 5729 5718 5485 5406 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 20 40 60 80 100 SE +/- 0.03, N = 3 40.61 22.59 22.51 42.52 40.47 78.75 27.61 27.60
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Classroom - Compute: CPU-Only 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 50 100 150 200 250 SE +/- 0.17, N = 3 108.30 58.55 58.57 113.31 108.06 212.97 72.45 72.02
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Fishy Cat - Compute: CPU-Only 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 20 40 60 80 100 SE +/- 0.04, N = 3 49.27 27.96 27.90 52.68 49.44 95.96 34.77 34.61
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Barbershop - Compute: CPU-Only 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 170 340 510 680 850 SE +/- 0.09, N = 3 393.87 213.60 213.46 408.79 396.80 768.94 260.83 259.87
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.5 Blend File: Pabellon Barcelona - Compute: CPU-Only 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x a b 60 120 180 240 300 SE +/- 0.10, N = 3 127.96 71.64 71.73 136.58 127.50 252.02 88.76 88.73
LeelaChessZero Backend: BLAS OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: BLAS 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 2K 4K 6K 8K 10K 1676 8284 7991 1419 1709 1955 5554 1. (CXX) g++ options: -flto -pthread
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: Eigen 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 2K 4K 6K 8K 10K 1450 8286 7816 1238 1357 1714 5142 1. (CXX) g++ options: -flto -pthread
CloverLeaf Lagrangian-Eulerian Hydrodynamics OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 7 14 21 28 35 30.67 15.67 15.51 12.09 28.59 18.26 11.34 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 6 12 18 24 30 13.286480 7.656369 7.793325 14.001110 13.310260 23.879470 9.563610 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 4 8 12 16 20 7.465373 4.294731 4.418012 7.974022 7.419739 14.509090 5.104078 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 2 4 6 8 10 3.93247390 2.48654294 2.48386908 5.06756401 4.75395298 6.86468983 4.43804121 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 6 12 18 24 30 13.80 10.62 10.76 19.63 13.72 25.22 17.21 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 9K 18K 27K 36K 45K 27032.90 42030.04 42551.90 20920.49 27107.14 10188.25 22257.14 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 600 1200 1800 2400 3000 2842.3 2783.7 2775.9 2856.6 2801.4 2661.0 2819.0 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 300 600 900 1200 1500 1384.1 1306.7 1309.5 1326.5 1362.4 1281.1 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 200 400 600 800 1000 1022.3 1024.0 1013.4 1067.8 992.4 913.5 988.5 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 300 600 900 1200 1500 1523.6 1437.5 1441.1 1438.8 1518.1 1523.9 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 70 140 210 280 350 288.9 283.6 282.8 289.1 295.0 305.1 270.8 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 300 600 900 1200 1500 1563.0 1482.7 1498.9 1478.1 1552.0 1557.2 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 5 10 15 20 25 18.6 18.0 18.0 18.2 18.9 19.2 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 300 600 900 1200 1500 1375.8 1315.6 1312.0 1304.2 1394.3 1389.6 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 200 400 600 800 1000 854.9 808.5 741.5 854.2 813.6 865.4 752.6 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 300 600 900 1200 1500 1415.4 1332.3 1336.5 1361.5 1414.1 1413.0 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 200 400 600 800 1000 680.9 702.8 702.2 792.1 671.6 727.0 744.5 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 300 600 900 1200 1500 1559.8 1454.7 1445.1 1460.1 1538.4 1541.7 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 3 6 9 12 15 10.10 9.57 9.50 9.54 10.10 10.10 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 300 600 900 1200 1500 1289.9 1222.9 1227.1 1229.1 1292.1 1312.9 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 90K 180K 270K 360K 450K 241803 403739 396844 271918 243862 155879 396928 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 100K 200K 300K 400K 500K 232623 453996 440740 244220 236136 128235 411213 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 0.649 1.298 1.947 2.596 3.245 2.05818 2.67801 2.88451 1.37996 2.17496 1.87446 1.26107 MIN: 1.58 MIN: 1.89 MIN: 1.79 MIN: 1.25 MIN: 1.61 MIN: 1.72 MIN: 1.06 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 0.2804 0.5608 0.8412 1.1216 1.402 0.750853 0.911806 0.917226 0.625930 0.948143 0.609746 1.246180 MIN: 0.57 MIN: 0.78 MIN: 0.77 MIN: 0.57 MIN: 0.62 MIN: 0.57 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 0.4352 0.8704 1.3056 1.7408 2.176 1.034560 0.674336 0.669349 1.146560 1.043480 1.934160 0.827622 MIN: 0.98 MIN: 0.62 MIN: 0.6 MIN: 1.09 MIN: 0.98 MIN: 1.89 MIN: 0.78 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 3 6 9 12 15 5.78798 10.52210 10.36850 4.49565 5.87951 6.82625 6.92145 MIN: 4.87 MIN: 8.88 MIN: 8.54 MIN: 3.9 MIN: 4.97 MIN: 5.9 MIN: 6.32 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 0.8501 1.7002 2.5503 3.4004 4.2505 2.70057 1.85167 1.89859 2.76234 2.73357 3.77803 3.12487 MIN: 2.52 MIN: 1.61 MIN: 1.58 MIN: 2.59 MIN: 2.6 MIN: 3.69 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 400 800 1200 1600 2000 1377.39 1390.36 1385.33 1182.61 1370.61 1760.49 1183.63 MIN: 1316 MIN: 1287.43 MIN: 1314.76 MIN: 1161.83 MIN: 1312.47 MIN: 1746.27 MIN: 1162.73 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 300 600 900 1200 1500 1177.81 1212.84 1305.96 679.65 1349.92 906.61 749.62 MIN: 1030.68 MIN: 1070.52 MIN: 1060.61 MIN: 664.64 MIN: 1150.78 MIN: 898.73 MIN: 731.75 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 7 14 21 28 35 26.47 27.87 28.14 27.83 26.51 26.51 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 100 200 300 400 500 420.29 445.18 440.56 437.20 420.94 351.01 428.51 MIN: 24.7 / MAX: 5454.55 MIN: 41.18 / MAX: 3157.89 MIN: 40.98 / MAX: 4000 MIN: 24.3 / MAX: 6000 MIN: 24.79 / MAX: 3750 MIN: 13.78 / MAX: 6666.67 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 100 200 300 400 500 438.36 463.68 467.46 457.81 433.56 386.60 439.07 MIN: 25.08 / MAX: 4285.71 MIN: 41.64 / MAX: 4615.38 MIN: 40.6 / MAX: 4615.38 MIN: 24.13 / MAX: 5454.55 MIN: 24.58 / MAX: 4285.71 MIN: 13.7 / MAX: 6666.67 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 100 200 300 400 500 429.56 461.53 448.03 456.30 436.29 384.96 437.35 MIN: 25.01 / MAX: 4615.38 MIN: 41.49 / MAX: 3000 MIN: 41.38 / MAX: 2608.7 MIN: 24.65 / MAX: 5454.55 MIN: 24.91 / MAX: 3750 MIN: 13.8 / MAX: 6666.67 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 2K 4K 6K 8K 10K 9627.34 7738.59 7176.41 6599.68 9605.63 8783.70 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 3K 6K 9K 12K 15K 11891.40 12506.70 11068.80 9611.05 12025.70 10352.60 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 9K 18K 27K 36K 45K 21866.3 41983.3 41983.3 20991.7 21420.1 11662.0 32799.5 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 11K 22K 33K 44K 55K 29155.1 49980.1 51199.1 24990.1 29155.1 15435.0 36827.5 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 4K 8K 12K 16K 20K 11576.3 12102.5 12678.9 17750.4 12102.5 13312.8 20481.2 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 4K 8K 12K 16K 20K 13312.8 16641.0 15662.1 19018.3 13312.8 14792.0 19018.3 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 200 400 600 800 1000 458.72 436.68 434.78 869.57 458.72 729.93 806.45 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 30 60 90 120 150 67.15 77.77 115.68 13.70 79.82 12.23 17.84 MIN: 21.26 / MAX: 78.89 MIN: 67.11 / MAX: 156 MIN: 64.45 / MAX: 159.93 MIN: 65.63 / MAX: 95.23 MIN: 17.55 / MAX: 25.78 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 9 18 27 36 45 28.85 27.70 38.67 6.46 33.16 4.92 11.30 MIN: 18.28 / MAX: 40.64 MIN: 23.18 / MAX: 43.54 MIN: 28.02 / MAX: 119.64 MIN: 6.35 / MAX: 8.73 MIN: 24.4 / MAX: 44 MIN: 4.84 / MAX: 5.41 MIN: 9.74 / MAX: 14.96 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 7 14 21 28 35 24.19 21.26 28.88 6.19 29.52 4.50 10.29 MIN: 19.28 / MAX: 34.5 MIN: 20.79 / MAX: 28.25 MIN: 23.66 / MAX: 168.43 MIN: 6.05 / MAX: 6.93 MIN: 25.64 / MAX: 34.13 MIN: 4.43 / MAX: 5.26 MIN: 9.51 / MAX: 11.93 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 9 18 27 36 45 31.88 33.27 37.89 7.73 31.65 5.86 15.60 MIN: 27.33 / MAX: 35.67 MIN: 29.37 / MAX: 96.69 MIN: 34.63 / MAX: 113.32 MIN: 7.58 / MAX: 9.71 MIN: 28.59 / MAX: 37.25 MIN: 5.76 / MAX: 6.62 MIN: 12.95 / MAX: 19.73 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 11 22 33 44 55 37.62 38.49 49.46 6.08 38.98 4.52 11.71 MIN: 29.31 / MAX: 44.7 MIN: 25.51 / MAX: 75.24 MIN: 36.42 / MAX: 176.46 MIN: 6.01 / MAX: 6.54 MIN: 32.96 / MAX: 44.92 MIN: 9.43 / MAX: 20.81 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 14 28 42 56 70 46.67 35.12 60.79 9.03 46.69 6.97 15.44 MIN: 36.84 / MAX: 52.67 MIN: 33.83 / MAX: 41.96 MIN: 47.67 / MAX: 141.85 MIN: 8.93 / MAX: 11.07 MIN: 36.92 / MAX: 81.01 MIN: 6.9 / MAX: 7.4 MIN: 13.63 / MAX: 18.67 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 6 12 18 24 30 18.40 14.65 24.56 3.82 18.75 2.40 8.12 MIN: 16.72 / MAX: 22.27 MIN: 11.34 / MAX: 73.36 MIN: 20.64 / MAX: 91.2 MIN: 3.45 / MAX: 79.74 MIN: 15.74 / MAX: 22.59 MIN: 6.94 / MAX: 11.1 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 30 60 90 120 150 27.63 93.29 112.43 14.11 45.41 11.76 19.09 MIN: 23.37 / MAX: 37.04 MIN: 52.46 / MAX: 137.19 MIN: 29.99 / MAX: 148.59 MIN: 28.42 / MAX: 186.92 MIN: 18.77 / MAX: 25.76 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 8 16 24 32 40 32.77 33.55 32.81 21.08 29.82 20.47 24.04 MIN: 29.33 / MAX: 38.66 MIN: 28.65 / MAX: 42.53 MIN: 30.06 / MAX: 44.76 MIN: 20.78 / MAX: 24.35 MIN: 27.79 / MAX: 34.74 MIN: 20.22 / MAX: 21.34 MIN: 23.49 / MAX: 30.66 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 12 24 36 48 60 13.62 38.94 51.80 8.12 15.14 7.05 10.89 MIN: 13.43 / MAX: 16.6 MIN: 16.05 / MAX: 124.98 MIN: 16.09 / MAX: 93.56 MIN: 8.01 / MAX: 10.04 MIN: 13.62 / MAX: 18.75 MIN: 6.95 / MAX: 7.65 MIN: 10.68 / MAX: 11.74 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 7 14 21 28 35 9.78 18.60 28.55 5.48 10.29 4.76 7.13 MIN: 9.12 / MAX: 10.95 MIN: 17.59 / MAX: 34.64 MIN: 12.6 / MAX: 62.18 MIN: 5.36 / MAX: 6.34 MIN: 9.46 / MAX: 14.07 MIN: 4.68 / MAX: 5.71 MIN: 6.97 / MAX: 7.76 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 30 60 90 120 150 25.38 80.81 120.27 14.80 30.71 13.25 19.58 MIN: 22.8 / MAX: 34.84 MIN: 62.51 / MAX: 112.38 MIN: 42.99 / MAX: 192.41 MIN: 27.2 / MAX: 36.97 MIN: 19.15 / MAX: 44.79 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 10 20 30 40 50 31.98 38.10 45.89 19.98 33.74 18.23 23.92 MIN: 26.72 / MAX: 48.39 MIN: 29.08 / MAX: 101.85 MIN: 34.08 / MAX: 64.66 MIN: 19.53 / MAX: 23.19 MIN: 28.02 / MAX: 43.18 MIN: 17.97 / MAX: 23.77 MIN: 23.17 / MAX: 30.48 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 9 18 27 36 45 22.58 37.17 35.81 14.85 23.89 12.71 19.32 MIN: 21.5 / MAX: 36.98 MIN: 30.62 / MAX: 51.54 MIN: 29.14 / MAX: 58.45 MIN: 14.49 / MAX: 25.32 MIN: 22.35 / MAX: 46.47 MIN: 12.37 / MAX: 13.22 MIN: 18.86 / MAX: 22.39 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 30 60 90 120 150 86.22 100.65 128.35 26.34 84.88 17.60 53.52 MIN: 82.8 / MAX: 122.51 MIN: 97.81 / MAX: 136.12 MIN: 111.43 / MAX: 240.27 MIN: 25.99 / MAX: 28.26 MIN: 80.66 / MAX: 90.33 MIN: 17.32 / MAX: 18.74 MIN: 50.93 / MAX: 71.06 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 30 60 90 120 150 145.33 144.31 145.49 126.26 144.55 140.06 133.39 MIN: 142.5 / MAX: 157.84 MIN: 140.5 / MAX: 157.63 MIN: 141.27 / MAX: 245.34 MIN: 125.42 / MAX: 132.03 MIN: 140.93 / MAX: 165.57 MIN: 137.05 / MAX: 145.39 MIN: 129.7 / MAX: 252.77 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373X 2P 7373x b 12 24 36 48 60 21.36 40.45 53.25 9.25 39.48 7.35 19.08 MIN: 19.71 / MAX: 29.28 MIN: 27.4 / MAX: 462.07 MIN: 30.07 / MAX: 66.77 MIN: 9.12 / MAX: 9.81 MIN: 21.82 / MAX: 52.04 MIN: 7.23 / MAX: 7.88 MIN: 13.65 / MAX: 21.7 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 4 8 12 16 20 8.86 15.86 15.76 8.23 4.74 12.16 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 600 1200 1800 2400 3000 1782.06 2013.52 2020.21 1935.60 1684.86 2608.34 MIN: 1650.91 / MAX: 2051.03 MIN: 1890.96 / MAX: 2802.82 MIN: 1823.96 / MAX: 3111.51 MIN: 1852.05 / MAX: 1974.19 MIN: 1636.65 / MAX: 1721.46 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 3 6 9 12 15 6.17 10.54 10.63 5.48 3.17 8.05 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 Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 800 1600 2400 3200 4000 2547.35 2975.15 2948.39 2881.04 2493.98 3911.97 MIN: 1516.1 / MAX: 2961.68 MIN: 2241.37 / MAX: 3616.82 MIN: 1547.54 / MAX: 3537.3 MIN: 1536.21 / MAX: 3142.35 MIN: 2275.06 / MAX: 2587.16 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 3 6 9 12 15 6.10 10.64 10.64 5.47 3.16 8.04 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 800 1600 2400 3200 4000 2595.65 2946.97 2952.76 2886.12 2496.52 3927.00 MIN: 2193.47 / MAX: 2987.27 MIN: 2004.15 / MAX: 3534.38 MIN: 2193.59 / MAX: 3652.32 MIN: 1694.68 / MAX: 3104.67 MIN: 1381.65 / MAX: 2622.64 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 400 800 1200 1600 2000 786.17 1632.81 1623.83 841.49 400.07 1205.11 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: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 6 12 18 24 30 20.33 19.58 19.69 19.00 19.99 26.54 MIN: 14.4 / MAX: 46.38 MIN: 11.25 / MAX: 73.87 MIN: 11.03 / MAX: 75.83 MIN: 13.62 / MAX: 32.75 MIN: 12.45 / MAX: 25.77 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 8 16 24 32 40 19.31 34.83 34.91 17.92 9.71 27.03 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 300 600 900 1200 1500 826.77 914.24 912.42 886.41 821.36 1175.01 MIN: 796.91 / MAX: 888.72 MIN: 797.83 / MAX: 966.84 MIN: 878.63 / MAX: 988.74 MIN: 851.09 / MAX: 900.44 MIN: 798.88 / MAX: 834.55 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 500 1000 1500 2000 2500 1274.04 2504.36 2498.74 1244.86 652.03 1889.05 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: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 4 8 12 16 20 12.54 12.76 12.79 12.84 12.26 16.93 MIN: 9.03 / MAX: 28.23 MIN: 7.65 / MAX: 43.58 MIN: 7.68 / MAX: 43.18 MIN: 6.96 / MAX: 23.28 MIN: 7.79 / MAX: 21.63 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 300 600 900 1200 1500 892.67 1594.14 1592.71 822.19 454.90 1198.45 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 6 12 18 24 30 17.91 20.06 20.07 19.45 17.58 26.68 MIN: 9.87 / MAX: 67.23 MIN: 11.41 / MAX: 47.48 MIN: 13.26 / MAX: 75.83 MIN: 11.98 / MAX: 28.4 MIN: 15.76 / MAX: 27.27 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 40 80 120 160 200 98.39 175.48 176.76 92.61 52.66 138.84 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 50 100 150 200 250 162.50 182.10 180.91 172.53 151.73 230.27 MIN: 133.61 / MAX: 274.15 MIN: 117.14 / MAX: 548.18 MIN: 124.49 / MAX: 288.01 MIN: 81.35 / MAX: 207.95 MIN: 131.11 / MAX: 163.85 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 800 1600 2400 3200 4000 1914.22 3501.69 3504.15 1767.13 964.19 2674.29 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 6 12 18 24 30 16.70 18.26 18.25 18.10 16.58 23.92 MIN: 9.01 / MAX: 41.25 MIN: 10.53 / MAX: 60.19 MIN: 8.84 / MAX: 40.73 MIN: 9.23 / MAX: 28.11 MIN: 12.62 / MAX: 25.96 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 500 1000 1500 2000 2500 1181.75 2523.57 2524.05 1252.05 598.40 1888.20 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 4 8 12 16 20 13.52 12.66 12.66 12.77 13.36 16.93 MIN: 10.48 / MAX: 44.97 MIN: 7.58 / MAX: 53.45 MIN: 8.38 / MAX: 48.88 MIN: 7.39 / MAX: 23.62 MIN: 8.79 / MAX: 23.44 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 8K 16K 24K 32K 40K 29028.25 39455.86 38800.34 25209.62 14994.76 35737.82 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 2 x AMD EPYC 7373X 16-Core 5 2p a 5 2p b 5 a 7373x b 0.3915 0.783 1.1745 1.566 1.9575 1.09 1.37 1.40 1.26 1.06 1.74 MIN: 0.64 / MAX: 18.03 MIN: 0.67 / MAX: 28.86 MIN: 0.68 / MAX: 42.1 MIN: 0.69 / MAX: 12.96 MIN: 0.62 / MAX: 11.46 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 2 x AMD EPYC 7373X 16-Core 5 2p b 5 a 7373x b 9K 18K 27K 36K 45K 31155.59 40352.48 27340.96 16278.25 38091.46 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 2 x AMD EPYC 7373X 16-Core 5 2p b 5 a 7373x b 0.3645 0.729 1.0935 1.458 1.8225 1.01 1.33 1.16 0.97 1.62 MIN: 0.6 / MAX: 20.54 MIN: 0.64 / MAX: 26.34 MIN: 0.66 / MAX: 12.23 MIN: 0.58 / MAX: 12.03 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 5 a b 16K 32K 48K 64K 80K 74130.18 31992.61 56185.75 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 2 x AMD EPYC 7373X 16-Core 5 2p b 5 a 7373X 2P b 50K 100K 150K 200K 250K 85621 236445 68343 98738 77061 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 2 x AMD EPYC 7373X 16-Core 5 2p b 5 a 7373X 2P b 90K 180K 270K 360K 450K 263067 419702 206970 363745 235810 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 2 x AMD EPYC 7373X 16-Core 5 2p b 5 a 7373X 2P b 60K 120K 180K 240K 300K 232977 287492 184032 228123 201160 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 2 x AMD EPYC 7373X 16-Core 5 2p b 5 a 7373X 2P b 20K 40K 60K 80K 100K 31850 88553 27739 32187 31910 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 2 x AMD EPYC 7373X 16-Core 5 2p b 5 a 7373X 2P b 20K 40K 60K 80K 100K 65657 87133 39997 82360 39756 1. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
Z3 Theorem Prover SMT File: 1.smt2 OpenBenchmarking.org Seconds, Fewer Is Better Z3 Theorem Prover 4.12.1 SMT File: 1.smt2 2 x AMD EPYC 7373X 16-Core 7373X 2P 5 10 15 20 25 21.22 21.72 1. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
Z3 Theorem Prover SMT File: 2.smt2 OpenBenchmarking.org Seconds, Fewer Is Better Z3 Theorem Prover 4.12.1 SMT File: 2.smt2 2 x AMD EPYC 7373X 16-Core 7373X 2P 16 32 48 64 80 70.29 70.51 1. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
Phoronix Test Suite v10.8.4