AMD EPYC Milan-X Ubuntu 22.10 Benchmarks AMD EPYC 7763 vs. EPYC 7773X 1P/2P Linux processor benchmarks by Michael Larabel for a future article. Fresh Milan-X benchmarks on Linux 6.0 and GCC 12.2 on Ubuntu 22.10 snapshot.
HTML result view exported from: https://openbenchmarking.org/result/2209255-NE-AMDMILANX04&grr .
AMD EPYC Milan-X Ubuntu 22.10 Benchmarks Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Desktop Display Server Vulkan Compiler File-System Screen Resolution EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P AMD EPYC 7763 64-Core @ 2.45GHz (64 Cores / 128 Threads) AMD DAYTONA_X (RYM1009B BIOS) AMD Starship/Matisse 256GB 3841GB Micron_9300_MTFDHAL3T8TDP ASPEED VE228 2 x Mellanox MT27710 Ubuntu 22.10 6.0.0-060000rc3daily20220904-generic (x86_64) GNOME Shell X Server 1.21.1.3 1.3.211 GCC 12.2.0 ext4 1920x1080 2 x AMD EPYC 7763 64-Core @ 2.45GHz (128 Cores / 256 Threads) 512GB AMD EPYC 7773X 64-Core @ 2.20GHz (64 Cores / 128 Threads) 256GB 2 x AMD EPYC 7773X 64-Core @ 2.20GHz (128 Cores / 256 Threads) 512GB OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler Details - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-Wbc0TK/gcc-12-12.2.0/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-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 - EPYC 7763: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 - EPYC 7763 2P: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173 - EPYC 7773X: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229 - EPYC 7773X 2P: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001229 Java Details - OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu1) 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 + 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 PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
AMD EPYC Milan-X Ubuntu 22.10 Benchmarks wrf: conus 2.5km nwchem: C240 Buckyball pgbench: 1000 - 500 - Read Only - Average Latency pgbench: 1000 - 500 - Read Only pgbench: 1000 - 500 - Read Write - Average Latency pgbench: 1000 - 500 - Read Write relion: Basic - CPU incompact3d: X3D-benchmarking input.i3d brl-cad: VGR Performance Metric lczero: Eigen spark: 20000000 - 500 - Calculate Pi Benchmark spark: 20000000 - 500 - SHA-512 Benchmark Time build-gem5: Time To Compile jpegxl: PNG - 8 onnx: fcn-resnet101-11 - CPU - Standard ospray: particle_volume/ao/real_time spark: 20000000 - 100 - Calculate Pi Benchmark hpcg: build-llvm: Unix Makefiles build-linux-kernel: allmodconfig blender: Barbershop - CPU-Only pjsip: INVITE numpy: onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU spark: 20000000 - 2000 - Calculate Pi Benchmark openssl: SHA256 asmfish: 1024 Hash Memory, 26 Depth spark: 20000000 - 1000 - Calculate Pi Benchmark openfoam: drivaerFastback, Medium Mesh Size - Execution Time openfoam: drivaerFastback, Medium Mesh Size - Mesh Time clickhouse: 100M Rows Web Analytics Dataset, Third Run clickhouse: 100M Rows Web Analytics Dataset, Second Run clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cache cassandra: Writes build-nodejs: Time To Compile ospray-studio: 2 - 4K - 16 - Path Tracer ospray-studio: 1 - 4K - 16 - Path Tracer build-llvm: Ninja luxcorerender: Orange Juice - CPU ospray-studio: 3 - 4K - 1 - Path Tracer ospray-studio: 3 - 4K - 32 - Path Tracer ospray-studio: 3 - 4K - 16 - Path Tracer ospray-studio: 1 - 4K - 1 - Path Tracer ospray-studio: 2 - 4K - 1 - Path Tracer ospray: gravity_spheres_volume/dim_512/pathtracer/real_time compress-zstd: 19 - Compression Speed ngspice: C7552 pyhpc: CPU - Numpy - 4194304 - Isoneutral Mixing ospray-studio: 2 - 4K - 32 - Path Tracer ospray-studio: 1 - 4K - 32 - Path Tracer onednn: Recurrent Neural Network Training - u8s8f32 - CPU ospray: gravity_spheres_volume/dim_512/scivis/real_time ospray: gravity_spheres_volume/dim_512/ao/real_time build-python: Released Build, PGO + LTO Optimized compress-zstd: 19, Long Mode - Compression Speed sysbench: CPU webp2: Quality 75, Compression Effort 7 onednn: Recurrent Neural Network Training - f32 - CPU webp2: Quality 95, Compression Effort 7 ebizzy: openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU blender: Pabellon Barcelona - CPU-Only pjsip: OPTIONS, Stateful openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU build2: Time To Compile luxcorerender: DLSC - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU graphics-magick: Sharpen openssl: RSA4096 openssl: RSA4096 graphics-magick: Enhanced x265: Bosphorus 4K gpaw: Carbon Nanotube blender: Classroom - CPU-Only build-wasmer: Time To Compile build-linux-kernel: defconfig build-php: Time To Compile svt-hevc: 1 - Bosphorus 4K compress-7zip: Decompression Rating coremark: CoreMark Size 666 - Iterations Per Second build-godot: Time To Compile avifenc: 2 askap: tConvolve MPI - Gridding askap: tConvolve MPI - Degridding aircrack-ng: amg: appleseed: Disney Material pyhpc: CPU - Numpy - 4194304 - Equation of State rodinia: OpenMP LavaMD gromacs: MPI CPU - water_GMX50_bare onednn: IP Shapes 3D - u8s8f32 - CPU npb: IS.D embree: Pathtracer ISPC - Asian Dragon kvazaar: Bosphorus 4K - Very Fast blender: Fishy Cat - CPU-Only incompact3d: input.i3d 193 Cells Per Direction pennant: leblancbig build-mesa: Time To Compile onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU pennant: sedovbig blender: BMW27 - CPU-Only openfoam: drivaerFastback, Small Mesh Size - Execution Time openfoam: drivaerFastback, Small Mesh Size - Mesh Time lulesh: namd: ATPase Simulation - 327,506 Atoms mt-dgemm: Sustained Floating-Point Rate svt-hevc: 10 - Bosphorus 4K liquid-dsp: 64 - 256 - 57 jpegxl: JPEG - 8 npb: SP.C build-ffmpeg: Time To Compile aom-av1: Speed 8 Realtime - Bosphorus 4K incompact3d: input.i3d 129 Cells Per Direction aom-av1: Speed 10 Realtime - Bosphorus 4K npb: LU.C npb: BT.C astcenc: Exhaustive build-imagemagick: Time To Compile astcenc: Thorough aom-av1: Speed 9 Realtime - Bosphorus 4K build-mplayer: Time To Compile npb: FT.C povray: Trace Time embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon onednn: IP Shapes 3D - f32 - CPU m-queens: Time To Solve embree: Pathtracer - Crown webp: Quality 100, Highest Compression avifenc: 6, Lossless onednn: Convolution Batch Shapes Auto - f32 - CPU npb: SP.B octave-benchmark: npb: CG.C avifenc: 10, Lossless astcenc: Medium npb: MG.C etcpak: Multi-Threaded - ETC2 webp: Quality 100 webp: Default blake2: EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 16544.816 2203.9 0.407 1227877 8.380 59667 566.377 603.535645 744533 3898 31.93 13.45 188.631 0.99 171 17.7930 32.20 19.1215 244.613 267.499 264.87 4703 466.89 2978.27 32.19 74358249567 159120297 31.77 627.96949 161.85459 389.40 385.08 372.65 251988 186.250 35372 35029 167.054 13.91 2582 89230 41538 2171 2195 13.8682 85.0 107.798 2.145 77108 76200 3013.73 8.60236 9.05040 298.366 46.4 252773.24 0.48 2939.89 0.24 2345395 4151.95 7.59 3238.66 9.74 4147.58 7.58 85.51 8891 243.26 131.27 19.51 1637.96 65.558 9.47 55150.32 33814.38 30.14 1060.63 28.38 1126.90 582 867678.4 13287.5 1036 26.93 69.894 68.17 52.900 32.611 49.120 11.19 385205 1876249.144907 45.398 39.965 23153.2 22333.2 174850.505 1014445000 56.089494 1.023 42.244 5.772 0.718537 2695.00 66.0878 39.08 34.51 21.8095589 5.812808 26.865 1.57766 10.160930 26.96 48.352201 34.493903 19943.085 0.38226 23.482450 237.26 2810400000 28.93 51889.31 18.234 45.91 5.17996677 59.78 144112.86 133198.16 3.6189 14.691 33.8884 61.34 12.594 60945.14 9.695 58.1697 71.1484 3.72180 12.304 63.1869 3.31 7.483 0.863593 88708.75 7.463 24379.67 5.583 262.0318 57200.16 6689.606 10.22 16.15 4.45 8372.93 1999.1 0.716 698983 40.977 12448 293.342 297.434947 2962593 4598 16.04 20.29 161.435 0.96 210 32.7524 15.99 37.3185 210.123 160.015 142.26 4301 455.68 7505.05 16.07 148797141130 291595066 15.92 277.12759 154.21301 419.07 420.41 392.36 197128 135.210 18614 18319 112.582 21.76 1350 43415 21718 1137 1158 25.9482 80.1 109.707 2.155 37232 36625 7565.54 15.6585 16.4095 298.901 39.9 503926.60 0.64 7393.33 0.35 3061051 2191.23 14.39 1982.52 16.01 2191.71 14.38 44.08 8582 125.80 254.03 10.96 2914.32 60.855 13.76 106094.98 64899.71 14.70 2173.49 14.88 2136.93 858 1728763.7 26521.8 1446 20.35 42.511 35.06 53.113 24.673 48.556 17.74 719323 3706923.161931 43.074 41.175 44983.2 44039.5 160706.620 1929891667 47.628007 1.046 23.950 10.072 1.14577 4729.63 68.2643 56.98 18.49 11.0087018 3.484325 24.953 0.796595 5.500317 14.27 35.335965 31.557736 38255.507 0.22418 38.905788 195.08 3187000000 27.21 114669.27 14.475 36.90 3.13147511 47.65 287345.28 252416.39 7.2392 13.387 66.2779 47.94 10.097 118231.73 7.298 101.5687 73.6071 4.89478 6.443 111.9432 3.31 7.424 0.627969 136460.44 7.875 46814.82 5.799 450.1093 98920.03 6678.397 10.21 16.17 4.34 15435.544 2053.3 0.391 1276247 7.582 65956 276.589 573.313762 777564 5286 30.94 12.64 178.794 1 175 17.8134 31.37 19.7118 232.081 263.289 266.64 5666 492.43 2401.56 30.28 74013930600 156507344 31.44 365.76196 126.71018 442.36 433.68 417.89 274679 177.628 34424 34169 159.222 13.43 2517 86930 40556 2125 2140 13.8114 103.6 100.924 2.048 74833 74550 2415.07 8.65503 9.14710 292.42 59.3 265046.14 0.52 2442.04 0.26 2585316 3956.74 7.97 3059.08 10.36 3931.31 8.02 87.40 10844 227.77 140.19 17.04 1876.12 63.126 9.45 57873.68 35966.80 26.55 1204.49 26.75 1195.39 595 902005.3 13762.3 1039 28.02 59.854 70.57 49.680 31.919 46.290 11.13 412150 1987443.329446 42.814 39.825 34048.4 32294.8 177255.708 1057050667 55.854474 0.912 43.779 7.165 0.609689 2838.04 72.2304 41.75 34.97 16.8753561 5.419712 26.375 0.933818 9.518781 27.53 40.05178 28.9386 22729.594 0.37636 29.460843 246.66 2844933333 28.61 89188.95 17.743 49.53 4.38225862 66.01 255823.48 166563.21 3.6271 12.970 34.1055 67.43 12.204 64733.33 9.667 63.4739 80.6459 1.24710 11.281 68.8597 3.33 7.236 0.836359 135254.12 6.510 40140.36 5.557 264.5017 60128.52 6989.997 10.29 16.23 3.91 7410.731 1866.5 0.663 757591 22.740 22046 147.363 265.938090 2992945 5808 16.18 20.39 154.929 0.96 220 32.6404 16.10 38.2397 201.370 155.910 140.20 5380 488.61 6755.28 16.00 146456411990 291760604 16.11 166.29673 147.74093 430.57 432.78 404.44 213120 130.041 18019 17605 108.524 21.23 1303 41907 20876 1101 1134 25.6820 107.6 101.556 2.026 36025 35270 6647.70 15.5803 16.3969 292.804 62.1 528491.57 0.66 6749.92 0.36 3130176 2067.02 15.26 1821.21 17.41 2084.77 15.12 45.22 10776 116.19 275.03 9.98 3202.24 59.369 13.72 108150.75 68270.41 13.68 2336.77 13.27 2407.71 875 1780874.6 27127.8 1456 20.87 38.203 36.39 50.327 24.148 45.981 17.61 748109 3867411.271855 38.991 40.642 66651.4 62354.4 191971.437 1998897333 46.689219 0.898 25.193 11.216 0.998371 5165.19 94.1002 55.08 18.70 9.50778993 3.300578 24.539 0.714856 5.124529 14.61 30.350772 30.640099 43886.000 0.22366 51.046913 167.73 3338000000 26.64 230050.33 14.269 38.83 2.24685712 51.79 392397.67 369239.47 7.1407 11.775 65.6141 52.33 9.939 127733.49 7.183 116.0755 100.0406 1.83550 5.915 127.8497 3.33 7.351 0.593235 163786.88 6.718 51069.45 5.795 452.1733 123247.08 6926.204 10.28 16.21 3.90 OpenBenchmarking.org
WRF Input: conus 2.5km OpenBenchmarking.org Seconds, Fewer Is Better WRF 4.2.2 Input: conus 2.5km EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4K 8K 12K 16K 20K 16544.82 8372.93 15435.54 7410.73 1. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
NWChem Input: C240 Buckyball OpenBenchmarking.org Seconds, Fewer Is Better NWChem 7.0.2 Input: C240 Buckyball EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 500 1000 1500 2000 2500 2203.9 1999.1 2053.3 1866.5 1. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
PostgreSQL pgbench Scaling Factor: 1000 - Clients: 500 - Mode: Read Only - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 14.0 Scaling Factor: 1000 - Clients: 500 - Mode: Read Only - Average Latency EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.1611 0.3222 0.4833 0.6444 0.8055 SE +/- 0.002, N = 3 SE +/- 0.007, N = 12 SE +/- 0.001, N = 3 SE +/- 0.012, N = 12 0.407 0.716 0.391 0.663 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL pgbench Scaling Factor: 1000 - Clients: 500 - Mode: Read Only OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 14.0 Scaling Factor: 1000 - Clients: 500 - Mode: Read Only EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 300K 600K 900K 1200K 1500K SE +/- 6735.04, N = 3 SE +/- 7253.81, N = 12 SE +/- 2778.77, N = 3 SE +/- 14141.18, N = 12 1227877 698983 1276247 757591 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL pgbench Scaling Factor: 1000 - Clients: 500 - Mode: Read Write - Average Latency OpenBenchmarking.org ms, Fewer Is Better PostgreSQL pgbench 14.0 Scaling Factor: 1000 - Clients: 500 - Mode: Read Write - Average Latency EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 9 18 27 36 45 SE +/- 0.017, N = 3 SE +/- 1.926, N = 9 SE +/- 0.072, N = 3 SE +/- 0.342, N = 12 8.380 40.977 7.582 22.740 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
PostgreSQL pgbench Scaling Factor: 1000 - Clients: 500 - Mode: Read Write OpenBenchmarking.org TPS, More Is Better PostgreSQL pgbench 14.0 Scaling Factor: 1000 - Clients: 500 - Mode: Read Write EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 14K 28K 42K 56K 70K SE +/- 124.43, N = 3 SE +/- 657.10, N = 9 SE +/- 618.42, N = 3 SE +/- 351.77, N = 12 59667 12448 65956 22046 1. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
RELION Test: Basic - Device: CPU OpenBenchmarking.org Seconds, Fewer Is Better RELION 3.1.1 Test: Basic - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 120 240 360 480 600 SE +/- 4.68, N = 3 SE +/- 3.63, N = 4 SE +/- 3.13, N = 4 SE +/- 1.24, N = 12 566.38 293.34 276.59 147.36 1. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lmpi_cxx -lmpi
Xcompact3d Incompact3d Input: X3D-benchmarking input.i3d OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 130 260 390 520 650 SE +/- 0.30, N = 3 SE +/- 0.05, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 603.54 297.43 573.31 265.94 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
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.32.6 VGR Performance Metric EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 600K 1200K 1800K 2400K 3000K 744533 2962593 777564 2992945 1. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second, More Is Better LeelaChessZero 0.28 Backend: Eigen EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1200 2400 3600 4800 6000 SE +/- 27.81, N = 3 SE +/- 32.87, N = 3 SE +/- 13.96, N = 3 SE +/- 62.77, N = 3 3898 4598 5286 5808 1. (CXX) g++ options: -flto -pthread
Apache Spark Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 7 14 21 28 35 SE +/- 0.10, N = 15 SE +/- 0.04, N = 12 SE +/- 0.22, N = 3 SE +/- 0.17, N = 3 31.93 16.04 30.94 15.98
Apache Spark Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 5 10 15 20 25 SE +/- 0.09, N = 15 SE +/- 0.17, N = 12 SE +/- 0.13, N = 3 SE +/- 0.11, N = 3 13.45 20.29 12.64 20.01
Timed Gem5 Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Gem5 Compilation 21.2 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 40 80 120 160 200 SE +/- 2.33, N = 3 SE +/- 0.84, N = 3 SE +/- 1.36, N = 12 SE +/- 0.34, N = 3 188.63 161.44 178.79 154.93
JPEG XL libjxl Input: PNG - Encode Speed: 8 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.6.1 Input: PNG - Encode Speed: 8 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.225 0.45 0.675 0.9 1.125 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.99 0.96 1.00 0.96 1. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie
ONNX Runtime Model: fcn-resnet101-11 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute, More Is Better ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 50 100 150 200 250 SE +/- 1.86, N = 4 SE +/- 6.23, N = 12 SE +/- 0.00, N = 3 SE +/- 9.08, N = 9 171 210 175 220 1. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto=auto -fno-fat-lto-objects -ldl -lrt
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.10 Benchmark: particle_volume/ao/real_time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 8 16 24 32 40 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 17.79 32.75 17.81 32.64
Apache Spark Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 7 14 21 28 35 SE +/- 0.35, N = 3 SE +/- 0.04, N = 4 SE +/- 0.16, N = 15 SE +/- 0.12, N = 9 32.20 15.99 31.37 16.10
High Performance Conjugate Gradient OpenBenchmarking.org GFLOP/s, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 9 18 27 36 45 SE +/- 0.00, N = 3 SE +/- 0.08, N = 3 SE +/- 0.00, N = 3 SE +/- 0.12, N = 3 19.12 37.32 19.71 38.24 1. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 13.0 Build System: Unix Makefiles EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 50 100 150 200 250 SE +/- 1.42, N = 3 SE +/- 0.30, N = 3 SE +/- 0.91, N = 3 SE +/- 0.32, N = 3 244.61 210.12 232.08 201.37
Timed Linux Kernel Compilation Build: allmodconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.18 Build: allmodconfig EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 60 120 180 240 300 SE +/- 0.62, N = 3 SE +/- 0.39, N = 3 SE +/- 0.45, N = 3 SE +/- 0.69, N = 3 267.50 160.02 263.29 155.91
Blender Blend File: Barbershop - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Barbershop - Compute: CPU-Only EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 60 120 180 240 300 SE +/- 0.21, N = 3 SE +/- 0.36, N = 3 SE +/- 0.21, N = 3 SE +/- 0.14, N = 3 264.87 142.26 266.64 140.20
PJSIP Method: INVITE OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: INVITE EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1200 2400 3600 4800 6000 SE +/- 28.20, N = 3 SE +/- 68.28, N = 15 SE +/- 1.53, N = 3 SE +/- 41.51, N = 15 4703 4301 5666 5380 1. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
Numpy Benchmark OpenBenchmarking.org Score, More Is Better Numpy Benchmark EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 110 220 330 440 550 SE +/- 2.62, N = 3 SE +/- 0.72, N = 3 SE +/- 1.00, N = 3 SE +/- 1.81, N = 3 466.89 455.68 492.43 488.61
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1600 3200 4800 6400 8000 SE +/- 32.75, N = 3 SE +/- 78.09, N = 5 SE +/- 33.03, N = 3 SE +/- 53.11, N = 15 2978.27 7505.05 2401.56 6755.28 MIN: 2838.58 MIN: 6922.09 MIN: 2271.8 MIN: 5944.82 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
Apache Spark Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 7 14 21 28 35 SE +/- 0.12, N = 3 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.03, N = 3 32.19 16.07 30.28 16.32
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s, More Is Better OpenSSL 3.0 Algorithm: SHA256 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 30000M 60000M 90000M 120000M 150000M SE +/- 10744204.26, N = 3 SE +/- 22229383.18, N = 3 SE +/- 66727027.10, N = 3 SE +/- 112290036.56, N = 3 74358249567 148797141130 74013930600 146456411990 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 60M 120M 180M 240M 300M SE +/- 1045666.18, N = 3 SE +/- 451407.56, N = 3 SE +/- 348426.38, N = 3 SE +/- 2388608.17, N = 9 159120297 291595066 156507344 291760604
Apache Spark Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 7 14 21 28 35 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.41, N = 3 SE +/- 0.11, N = 3 31.77 15.92 31.44 15.88
OpenFOAM Input: drivaerFastback, Medium Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Medium Mesh Size - Execution Time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 140 280 420 560 700 627.97 277.13 365.76 166.30 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 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 40 80 120 160 200 161.85 154.21 126.71 147.74 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
ClickHouse 100M Rows Web Analytics Dataset, Third Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 100 200 300 400 500 SE +/- 1.09, N = 12 SE +/- 2.91, N = 12 SE +/- 2.88, N = 12 SE +/- 2.69, N = 14 389.40 419.07 442.36 430.57 MIN: 40.93 / MAX: 20000 MIN: 68.03 / MAX: 20000 MIN: 46.55 / MAX: 20000 MIN: 74.26 / MAX: 20000 1. ClickHouse server version 22.5.4.19 (official build).
ClickHouse 100M Rows Web Analytics Dataset, Second Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Second Run EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 90 180 270 360 450 SE +/- 1.48, N = 12 SE +/- 2.21, N = 12 SE +/- 2.98, N = 12 SE +/- 2.49, N = 14 385.08 420.41 433.68 432.78 MIN: 42.08 / MAX: 20000 MIN: 69.61 / MAX: 20000 MIN: 46.55 / MAX: 20000 MIN: 75 / MAX: 20000 1. ClickHouse server version 22.5.4.19 (official build).
ClickHouse 100M Rows Web Analytics Dataset, First Run / Cold Cache OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, First Run / Cold Cache EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 90 180 270 360 450 SE +/- 5.03, N = 12 SE +/- 7.02, N = 12 SE +/- 4.57, N = 12 SE +/- 5.49, N = 14 372.65 392.36 417.89 404.44 MIN: 37.27 / MAX: 20000 MIN: 42.28 / MAX: 15000 MIN: 42.13 / MAX: 20000 MIN: 48.98 / MAX: 20000 1. ClickHouse server version 22.5.4.19 (official build).
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s, More Is Better Apache Cassandra 4.0 Test: Writes EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 60K 120K 180K 240K 300K SE +/- 1011.05, N = 3 SE +/- 1884.49, N = 6 SE +/- 1405.73, N = 3 SE +/- 2897.92, N = 3 251988 197128 274679 213120
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 18.8 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 40 80 120 160 200 SE +/- 0.12, N = 3 SE +/- 0.11, N = 3 SE +/- 0.42, N = 3 SE +/- 0.22, N = 3 186.25 135.21 177.63 130.04
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 8K 16K 24K 32K 40K SE +/- 38.76, N = 3 SE +/- 35.24, N = 3 SE +/- 81.80, N = 3 SE +/- 49.96, N = 3 35372 18614 34424 18019 1. (CXX) g++ options: -O3 -ldl
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 8K 16K 24K 32K 40K SE +/- 43.02, N = 3 SE +/- 67.34, N = 3 SE +/- 77.82, N = 3 SE +/- 24.26, N = 3 35029 18319 34169 17605 1. (CXX) g++ options: -O3 -ldl
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 13.0 Build System: Ninja EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 40 80 120 160 200 SE +/- 0.71, N = 3 SE +/- 0.33, N = 3 SE +/- 0.70, N = 3 SE +/- 0.31, N = 3 167.05 112.58 159.22 108.52
LuxCoreRender Scene: Orange Juice - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 5 10 15 20 25 SE +/- 0.08, N = 3 SE +/- 0.28, N = 15 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 13.91 21.76 13.43 21.23 MIN: 12.02 / MAX: 16.11 MIN: 18.31 / MAX: 29.43 MIN: 11.9 / MAX: 15.89 MIN: 18.86 / MAX: 28.66
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 600 1200 1800 2400 3000 SE +/- 4.33, N = 3 SE +/- 2.33, N = 3 SE +/- 1.00, N = 3 SE +/- 1.20, N = 3 2582 1350 2517 1303 1. (CXX) g++ options: -O3 -ldl
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 20K 40K 60K 80K 100K SE +/- 64.26, N = 3 SE +/- 75.07, N = 3 SE +/- 132.68, N = 3 SE +/- 141.78, N = 3 89230 43415 86930 41907 1. (CXX) g++ options: -O3 -ldl
OSPRay Studio Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 9K 18K 27K 36K 45K SE +/- 26.14, N = 3 SE +/- 27.62, N = 3 SE +/- 121.66, N = 3 SE +/- 17.36, N = 3 41538 21718 40556 20876 1. (CXX) g++ options: -O3 -ldl
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 500 1000 1500 2000 2500 SE +/- 1.76, N = 3 SE +/- 2.52, N = 3 SE +/- 0.33, N = 3 SE +/- 1.86, N = 3 2171 1137 2125 1101 1. (CXX) g++ options: -O3 -ldl
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 500 1000 1500 2000 2500 SE +/- 1.33, N = 3 SE +/- 2.19, N = 3 SE +/- 1.20, N = 3 SE +/- 0.33, N = 3 2195 1158 2140 1134 1. (CXX) g++ options: -O3 -ldl
OSPRay Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 13.87 25.95 13.81 25.68
Zstd Compression Compression Level: 19 - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19 - Compression Speed EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 20 40 60 80 100 SE +/- 0.88, N = 5 SE +/- 1.28, N = 15 SE +/- 0.83, N = 3 SE +/- 0.98, N = 7 85.0 80.1 103.6 107.6 1. (CC) gcc options: -O3 -pthread -lz -llzma
Ngspice Circuit: C7552 OpenBenchmarking.org Seconds, Fewer Is Better Ngspice 34 Circuit: C7552 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 20 40 60 80 100 SE +/- 0.52, N = 3 SE +/- 1.35, N = 3 SE +/- 0.36, N = 3 SE +/- 0.27, N = 3 107.80 109.71 100.92 101.56 1. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lXft -lfontconfig -lXrender -lfreetype -lSM -lICE
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.4849 0.9698 1.4547 1.9396 2.4245 SE +/- 0.003, N = 3 SE +/- 0.010, N = 3 SE +/- 0.006, N = 3 SE +/- 0.007, N = 3 2.145 2.155 2.048 2.026
OSPRay Studio Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 17K 34K 51K 68K 85K SE +/- 72.64, N = 3 SE +/- 85.62, N = 3 SE +/- 88.52, N = 3 SE +/- 73.14, N = 3 77108 37232 74833 36025 1. (CXX) g++ options: -O3 -ldl
OSPRay Studio Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer OpenBenchmarking.org ms, Fewer Is Better OSPRay Studio 0.11 Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 16K 32K 48K 64K 80K SE +/- 88.75, N = 3 SE +/- 102.80, N = 3 SE +/- 173.71, N = 3 SE +/- 69.38, N = 3 76200 36625 74550 35270 1. (CXX) g++ options: -O3 -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1600 3200 4800 6400 8000 SE +/- 20.00, N = 3 SE +/- 79.86, N = 5 SE +/- 12.11, N = 3 SE +/- 25.65, N = 3 3013.73 7565.54 2415.07 6647.70 MIN: 2911.3 MIN: 7097.97 MIN: 2315.22 MIN: 6347.35 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.00934, N = 3 SE +/- 0.01020, N = 3 SE +/- 0.00091, N = 3 SE +/- 0.00686, N = 3 8.60236 15.65850 8.65503 15.58030
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time OpenBenchmarking.org Items Per Second, More Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/ao/real_time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.01245, N = 3 SE +/- 0.01650, N = 3 SE +/- 0.00528, N = 3 SE +/- 0.00542, N = 3 9.05040 16.40950 9.14710 16.39690
Timed CPython Compilation Build Configuration: Released Build, PGO + LTO Optimized OpenBenchmarking.org Seconds, Fewer Is Better Timed CPython Compilation 3.10.6 Build Configuration: Released Build, PGO + LTO Optimized EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 70 140 210 280 350 298.37 298.90 292.42 292.80
Zstd Compression Compression Level: 19, Long Mode - Compression Speed OpenBenchmarking.org MB/s, More Is Better Zstd Compression 1.5.0 Compression Level: 19, Long Mode - Compression Speed EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 14 28 42 56 70 SE +/- 0.20, N = 3 SE +/- 0.79, N = 15 SE +/- 0.06, N = 3 SE +/- 0.70, N = 4 46.4 39.9 59.3 62.1 1. (CC) gcc options: -O3 -pthread -lz -llzma
Sysbench Test: CPU OpenBenchmarking.org Events Per Second, More Is Better Sysbench 1.0.20 Test: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 110K 220K 330K 440K 550K SE +/- 16.30, N = 3 SE +/- 171.45, N = 3 SE +/- 64.96, N = 3 SE +/- 738.28, N = 3 252773.24 503926.60 265046.14 528491.57 1. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
WebP2 Image Encode Encode Settings: Quality 75, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.1485 0.297 0.4455 0.594 0.7425 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 15 SE +/- 0.00, N = 3 0.48 0.64 0.52 0.66 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1600 3200 4800 6400 8000 SE +/- 36.34, N = 3 SE +/- 70.11, N = 3 SE +/- 4.73, N = 3 SE +/- 15.98, N = 3 2939.89 7393.33 2442.04 6749.92 MIN: 2793.54 MIN: 6942.5 MIN: 2358.19 MIN: 6112.04 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
WebP2 Image Encode Encode Settings: Quality 95, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.081 0.162 0.243 0.324 0.405 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 0.24 0.35 0.26 0.36 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
ebizzy OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 700K 1400K 2100K 2800K 3500K SE +/- 31247.78, N = 13 SE +/- 67846.42, N = 15 SE +/- 3596.86, N = 3 SE +/- 63488.17, N = 15 2345395 3061051 2585316 3130176 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 900 1800 2700 3600 4500 SE +/- 4.63, N = 3 SE +/- 5.23, N = 3 SE +/- 4.41, N = 3 SE +/- 6.50, N = 3 4151.95 2191.23 3956.74 2067.02 MIN: 2163.29 / MAX: 4712.94 MIN: 1746.25 / MAX: 2873.59 MIN: 2046.69 / MAX: 4432.67 MIN: 1611.61 / MAX: 2770.94 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 7.59 14.39 7.97 15.26 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 700 1400 2100 2800 3500 SE +/- 3.86, N = 3 SE +/- 2.80, N = 3 SE +/- 1.12, N = 3 SE +/- 5.57, N = 3 3238.66 1982.52 3059.08 1821.21 MIN: 2882.48 / MAX: 3449.46 MIN: 1894.59 / MAX: 2360.56 MIN: 2823.86 / MAX: 3210.59 MIN: 1460.7 / MAX: 2180.22 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Face Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.06, N = 3 9.74 16.01 10.36 17.41 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 900 1800 2700 3600 4500 SE +/- 10.19, N = 3 SE +/- 7.70, N = 3 SE +/- 7.16, N = 3 SE +/- 12.20, N = 3 4147.58 2191.71 3931.31 2084.77 MIN: 3423.12 / MAX: 4677.59 MIN: 1768.77 / MAX: 3043.6 MIN: 3302.53 / MAX: 4476.06 MIN: 1658.89 / MAX: 2882.23 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Detection FP32 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.05, N = 3 SE +/- 0.01, N = 3 SE +/- 0.10, N = 3 7.58 14.38 8.02 15.12 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
Blender Blend File: Pabellon Barcelona - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Pabellon Barcelona - Compute: CPU-Only EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 20 40 60 80 100 SE +/- 0.05, N = 3 SE +/- 0.06, N = 3 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 85.51 44.08 87.40 45.22
PJSIP Method: OPTIONS, Stateful OpenBenchmarking.org Responses Per Second, More Is Better PJSIP 2.11 Method: OPTIONS, Stateful EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 2K 4K 6K 8K 10K SE +/- 97.36, N = 3 SE +/- 113.02, N = 3 SE +/- 10.68, N = 3 SE +/- 27.93, N = 3 8891 8582 10844 10776 1. (CC) gcc options: -lavformat -lavcodec -lswscale -lavutil -lstdc++ -lssl -lcrypto -luuid -lm -lrt -lpthread -lasound -O2
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 50 100 150 200 250 SE +/- 0.48, N = 3 SE +/- 0.53, N = 3 SE +/- 0.07, N = 3 SE +/- 0.28, N = 3 243.26 125.80 227.77 116.19 MIN: 131.64 / MAX: 359.27 MIN: 109.41 / MAX: 288.82 MIN: 151.48 / MAX: 323.99 MIN: 103.17 / MAX: 290.75 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Machine Translation EN To DE FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 60 120 180 240 300 SE +/- 0.27, N = 3 SE +/- 1.09, N = 3 SE +/- 0.06, N = 3 SE +/- 0.69, N = 3 131.27 254.03 140.19 275.03 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 5 10 15 20 25 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 19.51 10.96 17.04 9.98 MIN: 11.54 / MAX: 46.22 MIN: 9.67 / MAX: 55.38 MIN: 9.81 / MAX: 40.13 MIN: 8.49 / MAX: 50.18 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Person Vehicle Bike Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 700 1400 2100 2800 3500 SE +/- 0.54, N = 3 SE +/- 0.68, N = 3 SE +/- 0.30, N = 3 SE +/- 1.92, N = 3 1637.96 2914.32 1876.12 3202.24 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 15 30 45 60 75 SE +/- 0.17, N = 3 SE +/- 0.18, N = 3 SE +/- 0.17, N = 3 SE +/- 0.21, N = 3 65.56 60.86 63.13 59.37
LuxCoreRender Scene: DLSC - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.03, N = 3 SE +/- 0.12, N = 3 SE +/- 0.08, N = 3 SE +/- 0.07, N = 3 9.47 13.76 9.45 13.72 MIN: 9.23 / MAX: 10.23 MIN: 12.78 / MAX: 18.83 MIN: 9.13 / MAX: 10.06 MIN: 13.02 / MAX: 18.16
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 20K 40K 60K 80K 100K SE +/- 47.17, N = 3 SE +/- 544.04, N = 3 SE +/- 101.99, N = 3 SE +/- 1215.82, N = 3 55150.32 106094.98 57873.68 108150.75 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 15K 30K 45K 60K 75K SE +/- 6.50, N = 3 SE +/- 25.85, N = 3 SE +/- 39.91, N = 3 SE +/- 23.57, N = 3 33814.38 64899.71 35966.80 68270.41 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 7 14 21 28 35 SE +/- 0.04, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 30.14 14.70 26.55 13.68 MIN: 14.92 / MAX: 71.17 MIN: 12.67 / MAX: 88.98 MIN: 15.41 / MAX: 63.2 MIN: 11.22 / MAX: 79.47 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Vehicle Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 500 1000 1500 2000 2500 SE +/- 1.50, N = 3 SE +/- 1.76, N = 3 SE +/- 0.12, N = 3 SE +/- 0.77, N = 3 1060.63 2173.49 1204.49 2336.77 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 7 14 21 28 35 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 28.38 14.88 26.75 13.27 MIN: 14.88 / MAX: 54.73 MIN: 13.87 / MAX: 48.95 MIN: 13.52 / MAX: 48.5 MIN: 10.4 / MAX: 46.69 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.2.dev Model: Weld Porosity Detection FP16 - Device: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 500 1000 1500 2000 2500 SE +/- 0.07, N = 3 SE +/- 2.03, N = 3 SE +/- 0.31, N = 3 SE +/- 0.36, N = 3 1126.90 2136.93 1195.39 2407.71 1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Sharpen EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 200 400 600 800 1000 SE +/- 0.58, N = 3 SE +/- 0.67, N = 3 SE +/- 0.33, N = 3 SE +/- 2.03, N = 3 582 858 595 875 1. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 400K 800K 1200K 1600K 2000K SE +/- 79.21, N = 3 SE +/- 3081.20, N = 3 SE +/- 1242.31, N = 3 SE +/- 180.37, N = 3 867678.4 1728763.7 902005.3 1780874.6 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org sign/s, More Is Better OpenSSL 3.0 Algorithm: RSA4096 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 6K 12K 18K 24K 30K SE +/- 3.42, N = 3 SE +/- 22.46, N = 3 SE +/- 25.24, N = 3 SE +/- 13.15, N = 3 13287.5 26521.8 13762.3 27127.8 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 300 600 900 1200 1500 SE +/- 0.67, N = 3 SE +/- 1.67, N = 3 SE +/- 0.88, N = 3 SE +/- 3.67, N = 3 1036 1446 1039 1456 1. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lxml2 -lz -lm -lpthread
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.09, N = 3 SE +/- 0.16, N = 3 SE +/- 0.16, N = 15 26.93 20.35 28.02 20.87 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
GPAW Input: Carbon Nanotube OpenBenchmarking.org Seconds, Fewer Is Better GPAW 22.1 Input: Carbon Nanotube EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 16 32 48 64 80 SE +/- 0.11, N = 3 SE +/- 0.06, N = 3 SE +/- 0.54, N = 3 SE +/- 0.21, N = 3 69.89 42.51 59.85 38.20 1. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi
Blender Blend File: Classroom - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Classroom - Compute: CPU-Only EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 16 32 48 64 80 SE +/- 0.18, N = 3 SE +/- 0.04, N = 3 SE +/- 0.08, N = 3 SE +/- 0.11, N = 3 68.17 35.06 70.57 36.39
Timed Wasmer Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 2.3 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 12 24 36 48 60 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.06, N = 3 SE +/- 0.11, N = 3 52.90 53.11 49.68 50.33 1. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.18 Build: defconfig EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 8 16 24 32 40 SE +/- 0.41, N = 4 SE +/- 0.23, N = 7 SE +/- 0.36, N = 4 SE +/- 0.22, N = 7 32.61 24.67 31.92 24.15
Timed PHP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 8.1.9 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.18, N = 3 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 49.12 48.56 46.29 45.98
SVT-HEVC Tuning: 1 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.09, N = 3 SE +/- 0.01, N = 3 SE +/- 0.05, N = 3 11.19 17.74 11.13 17.61 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 160K 320K 480K 640K 800K SE +/- 1349.13, N = 3 SE +/- 6731.38, N = 4 SE +/- 1089.17, N = 3 SE +/- 3553.28, N = 3 385205 719323 412150 748109 1. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 800K 1600K 2400K 3200K 4000K SE +/- 8067.73, N = 3 SE +/- 1745.40, N = 3 SE +/- 8411.66, N = 3 SE +/- 1391.68, N = 3 1876249.14 3706923.16 1987443.33 3867411.27 1. (CC) gcc options: -O2 -lrt" -lrt
Timed Godot Game Engine Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 10 20 30 40 50 SE +/- 0.12, N = 3 SE +/- 0.53, N = 3 SE +/- 0.13, N = 3 SE +/- 0.30, N = 3 45.40 43.07 42.81 38.99
libavif avifenc Encoder Speed: 2 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.10 Encoder Speed: 2 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 9 18 27 36 45 SE +/- 0.10, N = 3 SE +/- 0.10, N = 3 SE +/- 0.04, N = 3 SE +/- 0.17, N = 3 39.97 41.18 39.83 40.64 1. (CXX) g++ options: -O3 -fPIC -lm
ASKAP Test: tConvolve MPI - Gridding OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 14K 28K 42K 56K 70K SE +/- 85.47, N = 3 SE +/- 160.07, N = 3 SE +/- 364.13, N = 3 SE +/- 610.89, N = 3 23153.2 44983.2 34048.4 66651.4 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 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 13K 26K 39K 52K 65K SE +/- 137.18, N = 3 SE +/- 153.43, N = 3 SE +/- 0.00, N = 3 SE +/- 307.17, N = 3 22333.2 44039.5 32294.8 62354.4 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
Aircrack-ng OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.7 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 40K 80K 120K 160K 200K SE +/- 260.37, N = 3 SE +/- 1433.11, N = 3 SE +/- 690.81, N = 3 SE +/- 1789.41, N = 6 174850.51 160706.62 177255.71 191971.44 1. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
Algebraic Multi-Grid Benchmark OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 400M 800M 1200M 1600M 2000M SE +/- 808623.73, N = 3 SE +/- 1653035.32, N = 3 SE +/- 423657.23, N = 3 SE +/- 3210600.38, N = 3 1014445000 1929891667 1057050667 1998897333 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
Appleseed Scene: Disney Material OpenBenchmarking.org Seconds, Fewer Is Better Appleseed 2.0 Beta Scene: Disney Material EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 13 26 39 52 65 56.09 47.63 55.85 46.69
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.2354 0.4708 0.7062 0.9416 1.177 SE +/- 0.001, N = 3 SE +/- 0.009, N = 3 SE +/- 0.012, N = 3 SE +/- 0.001, N = 3 1.023 1.046 0.912 0.898
Rodinia Test: OpenMP LavaMD OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 10 20 30 40 50 SE +/- 0.09, N = 3 SE +/- 0.20, N = 3 SE +/- 0.07, N = 3 SE +/- 0.30, N = 3 42.24 23.95 43.78 25.19 1. (CXX) g++ options: -O2 -lOpenCL
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 3 6 9 12 15 SE +/- 0.014, N = 3 SE +/- 0.109, N = 3 SE +/- 0.021, N = 3 SE +/- 0.020, N = 3 5.772 10.072 7.165 11.216 1. (CXX) g++ options: -O3
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.2578 0.5156 0.7734 1.0312 1.289 SE +/- 0.006358, N = 5 SE +/- 0.009591, N = 15 SE +/- 0.002130, N = 5 SE +/- 0.015554, N = 15 0.718537 1.145770 0.609689 0.998371 MIN: 0.63 MIN: 0.92 MIN: 0.54 MIN: 0.81 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
NAS Parallel Benchmarks Test / Class: IS.D OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1100 2200 3300 4400 5500 SE +/- 15.95, N = 4 SE +/- 75.53, N = 15 SE +/- 34.33, N = 4 SE +/- 42.90, N = 15 2695.00 4729.63 2838.04 5165.19 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 20 40 60 80 100 SE +/- 0.04, N = 5 SE +/- 0.55, N = 15 SE +/- 0.24, N = 5 SE +/- 0.75, N = 15 66.09 68.26 72.23 94.10 MIN: 64.65 / MAX: 67.98 MIN: 60.57 / MAX: 74.38 MIN: 70.11 / MAX: 73.5 MIN: 83.08 / MAX: 100.84
Kvazaar Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.1 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 13 26 39 52 65 SE +/- 0.08, N = 4 SE +/- 0.41, N = 15 SE +/- 0.06, N = 4 SE +/- 0.61, N = 5 39.08 56.98 41.75 55.08 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Blender Blend File: Fishy Cat - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: Fishy Cat - Compute: CPU-Only EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 8 16 24 32 40 SE +/- 0.10, N = 3 SE +/- 0.18, N = 3 SE +/- 0.15, N = 3 SE +/- 0.10, N = 3 34.51 18.49 34.97 18.70
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 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 5 10 15 20 25 SE +/- 0.17583211, N = 3 SE +/- 0.03743001, N = 4 SE +/- 0.05294615, N = 3 SE +/- 0.09231981, N = 15 21.80955890 11.00870180 16.87535610 9.50778993 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
Pennant Test: leblancbig OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1.3079 2.6158 3.9237 5.2316 6.5395 SE +/- 0.039217, N = 15 SE +/- 0.083507, N = 15 SE +/- 0.046366, N = 15 SE +/- 0.038831, N = 15 5.812808 3.484325 5.419712 3.300578 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
Timed Mesa Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 21.0 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 26.87 24.95 26.38 24.54
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.355 0.71 1.065 1.42 1.775 SE +/- 0.002404, N = 7 SE +/- 0.030182, N = 15 SE +/- 0.018656, N = 12 SE +/- 0.035324, N = 15 1.577660 0.796595 0.933818 0.714856 MIN: 1.52 MIN: 0.42 MIN: 0.56 MIN: 0.4 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
Pennant Test: sedovbig OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: sedovbig EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 3 6 9 12 15 SE +/- 0.071304, N = 5 SE +/- 0.063855, N = 15 SE +/- 0.073072, N = 10 SE +/- 0.041035, N = 7 10.160930 5.500317 9.518781 5.124529 1. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.3 Blend File: BMW27 - Compute: CPU-Only EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 6 12 18 24 30 SE +/- 0.05, N = 3 SE +/- 0.04, N = 4 SE +/- 0.03, N = 3 SE +/- 0.01, N = 4 26.96 14.27 27.53 14.61
OpenFOAM Input: drivaerFastback, Small Mesh Size - Execution Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Execution Time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 11 22 33 44 55 48.35 35.34 40.05 30.35 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 - Mesh Time OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 10 Input: drivaerFastback, Small Mesh Size - Mesh Time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 8 16 24 32 40 34.49 31.56 28.94 30.64 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
LULESH OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 9K 18K 27K 36K 45K SE +/- 36.15, N = 3 SE +/- 178.54, N = 3 SE +/- 83.18, N = 3 SE +/- 106.16, N = 3 19943.09 38255.51 22729.59 43886.00 1. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.086 0.172 0.258 0.344 0.43 SE +/- 0.00059, N = 3 SE +/- 0.00135, N = 4 SE +/- 0.00050, N = 3 SE +/- 0.00076, N = 4 0.38226 0.22418 0.37636 0.22366
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 12 24 36 48 60 SE +/- 0.20, N = 5 SE +/- 0.34, N = 8 SE +/- 0.20, N = 15 SE +/- 0.35, N = 8 23.48 38.91 29.46 51.05 1. (CC) gcc options: -O3 -march=native -fopenmp
SVT-HEVC Tuning: 10 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 50 100 150 200 250 SE +/- 0.55, N = 9 SE +/- 1.99, N = 15 SE +/- 0.70, N = 9 SE +/- 1.47, N = 15 237.26 195.08 246.66 167.73 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 64 - Buffer Length: 256 - Filter Length: 57 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 700M 1400M 2100M 2800M 3500M SE +/- 5026927.49, N = 3 SE +/- 4504442.25, N = 3 SE +/- 2403007.38, N = 3 SE +/- 2138535.32, N = 3 2810400000 3187000000 2844933333 3338000000 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
JPEG XL libjxl Input: JPEG - Encode Speed: 8 OpenBenchmarking.org MP/s, More Is Better JPEG XL libjxl 0.6.1 Input: JPEG - Encode Speed: 8 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 7 14 21 28 35 SE +/- 0.08, N = 5 SE +/- 0.25, N = 7 SE +/- 0.04, N = 5 SE +/- 0.24, N = 5 28.93 27.21 28.61 26.64 1. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie
NAS Parallel Benchmarks Test / Class: SP.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 50K 100K 150K 200K 250K SE +/- 21.43, N = 3 SE +/- 290.00, N = 4 SE +/- 208.16, N = 3 SE +/- 1083.89, N = 6 51889.31 114669.27 89188.95 230050.33 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.4 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.03, N = 4 SE +/- 0.02, N = 3 SE +/- 0.04, N = 4 18.23 14.48 17.74 14.27
AOM AV1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.4 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 11 22 33 44 55 SE +/- 0.13, N = 4 SE +/- 0.15, N = 3 SE +/- 0.19, N = 4 SE +/- 0.29, N = 4 45.91 36.90 49.53 38.83 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
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 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1.1655 2.331 3.4965 4.662 5.8275 SE +/- 0.03796824, N = 15 SE +/- 0.04202120, N = 12 SE +/- 0.02518485, N = 7 SE +/- 0.03428839, N = 15 5.17996677 3.13147511 4.38225862 2.24685712 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
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.4 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 15 30 45 60 75 SE +/- 0.53, N = 4 SE +/- 0.29, N = 4 SE +/- 0.63, N = 5 SE +/- 0.45, N = 4 59.78 47.65 66.01 51.79 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
NAS Parallel Benchmarks Test / Class: LU.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 80K 160K 240K 320K 400K SE +/- 382.95, N = 4 SE +/- 886.34, N = 6 SE +/- 1813.78, N = 5 SE +/- 2945.88, N = 10 144112.86 287345.28 255823.48 392397.67 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4
NAS Parallel Benchmarks Test / Class: BT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 80K 160K 240K 320K 400K SE +/- 218.03, N = 3 SE +/- 401.49, N = 4 SE +/- 269.58, N = 3 SE +/- 1679.40, N = 5 133198.16 252416.39 166563.21 369239.47 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Exhaustive EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 2 4 6 8 10 SE +/- 0.0004, N = 3 SE +/- 0.0017, N = 5 SE +/- 0.0013, N = 3 SE +/- 0.0027, N = 5 3.6189 7.2392 3.6271 7.1407 1. (CXX) g++ options: -O3 -flto -pthread
Timed ImageMagick Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.03, N = 4 SE +/- 0.09, N = 4 SE +/- 0.04, N = 4 SE +/- 0.02, N = 4 14.69 13.39 12.97 11.78
ASTC Encoder Preset: Thorough OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Thorough EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 15 30 45 60 75 SE +/- 0.04, N = 5 SE +/- 0.02, N = 6 SE +/- 0.01, N = 5 SE +/- 0.02, N = 6 33.89 66.28 34.11 65.61 1. (CXX) g++ options: -O3 -flto -pthread
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.4 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 15 30 45 60 75 SE +/- 0.25, N = 5 SE +/- 0.43, N = 4 SE +/- 0.25, N = 5 SE +/- 0.46, N = 4 61.34 47.94 67.43 52.33 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Timed MPlayer Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed MPlayer Compilation 1.5 Time To Compile EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 3 6 9 12 15 SE +/- 0.034, N = 4 SE +/- 0.058, N = 5 SE +/- 0.056, N = 4 SE +/- 0.025, N = 5 12.594 10.097 12.204 9.939
NAS Parallel Benchmarks Test / Class: FT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 30K 60K 90K 120K 150K SE +/- 449.74, N = 6 SE +/- 811.29, N = 8 SE +/- 81.03, N = 6 SE +/- 898.92, N = 15 60945.14 118231.73 64733.33 127733.49 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4
POV-Ray Trace Time OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 3 6 9 12 15 SE +/- 0.060, N = 4 SE +/- 0.039, N = 5 SE +/- 0.022, N = 4 SE +/- 0.043, N = 5 9.695 7.298 9.667 7.183 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -R/usr/lib -lSDL -lXpm -lSM -lICE -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Crown EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 30 60 90 120 150 SE +/- 0.08, N = 5 SE +/- 0.13, N = 6 SE +/- 0.08, N = 5 SE +/- 0.26, N = 7 58.17 101.57 63.47 116.08 MIN: 56.95 / MAX: 60.5 MIN: 92.31 / MAX: 113.29 MIN: 62.1 / MAX: 67.43 MIN: 103.38 / MAX: 128.14
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer - Model: Asian Dragon EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 20 40 60 80 100 SE +/- 0.10, N = 5 SE +/- 0.51, N = 5 SE +/- 0.18, N = 6 SE +/- 1.00, N = 6 71.15 73.61 80.65 100.04 MIN: 69.44 / MAX: 73.41 MIN: 68.18 / MAX: 78.55 MIN: 78.3 / MAX: 82.21 MIN: 92.73 / MAX: 105.71
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1.1013 2.2026 3.3039 4.4052 5.5065 SE +/- 0.02049, N = 5 SE +/- 0.03481, N = 5 SE +/- 0.00678, N = 5 SE +/- 0.00761, N = 5 3.72180 4.89478 1.24710 1.83550 MIN: 3.42 MIN: 3.93 MIN: 1.1 MIN: 1.52 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
m-queens Time To Solve OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 3 6 9 12 15 SE +/- 0.041, N = 4 SE +/- 0.016, N = 6 SE +/- 0.017, N = 5 SE +/- 0.008, N = 7 12.304 6.443 11.281 5.915 1. (CXX) g++ options: -fopenmp -O2 -march=native
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer - Model: Crown EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 30 60 90 120 150 SE +/- 0.10, N = 5 SE +/- 0.24, N = 7 SE +/- 0.12, N = 5 SE +/- 0.14, N = 7 63.19 111.94 68.86 127.85 MIN: 61.77 / MAX: 65.45 MIN: 99.34 / MAX: 123.11 MIN: 67.24 / MAX: 73.75 MIN: 115.43 / MAX: 141.18
WebP Image Encode Encode Settings: Quality 100, Highest Compression OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.7493 1.4986 2.2479 2.9972 3.7465 SE +/- 0.00, N = 6 SE +/- 0.00, N = 6 SE +/- 0.00, N = 6 SE +/- 0.00, N = 6 3.31 3.31 3.33 3.33 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
libavif avifenc Encoder Speed: 6, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.10 Encoder Speed: 6, Lossless EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 2 4 6 8 10 SE +/- 0.033, N = 6 SE +/- 0.029, N = 6 SE +/- 0.027, N = 6 SE +/- 0.032, N = 6 7.483 7.424 7.236 7.351 1. (CXX) g++ options: -O3 -fPIC -lm
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.6 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.1943 0.3886 0.5829 0.7772 0.9715 SE +/- 0.000743, N = 7 SE +/- 0.003588, N = 7 SE +/- 0.001090, N = 7 SE +/- 0.003100, N = 7 0.863593 0.627969 0.836359 0.593235 MIN: 0.84 MIN: 0.58 MIN: 0.79 MIN: 0.54 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
NAS Parallel Benchmarks Test / Class: SP.B OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 40K 80K 120K 160K 200K SE +/- 677.41, N = 10 SE +/- 1060.57, N = 9 SE +/- 2164.09, N = 15 SE +/- 1611.06, N = 15 88708.75 136460.44 135254.12 163786.88 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4
GNU Octave Benchmark OpenBenchmarking.org Seconds, Fewer Is Better GNU Octave Benchmark 7.2.0 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 2 4 6 8 10 SE +/- 0.016, N = 6 SE +/- 0.031, N = 6 SE +/- 0.010, N = 6 SE +/- 0.015, N = 6 7.463 7.875 6.510 6.718
NAS Parallel Benchmarks Test / Class: CG.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 11K 22K 33K 44K 55K SE +/- 74.99, N = 6 SE +/- 404.03, N = 15 SE +/- 271.08, N = 8 SE +/- 413.94, N = 8 24379.67 46814.82 40140.36 51069.45 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4
libavif avifenc Encoder Speed: 10, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.10 Encoder Speed: 10, Lossless EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1.3048 2.6096 3.9144 5.2192 6.524 SE +/- 0.009, N = 7 SE +/- 0.017, N = 7 SE +/- 0.012, N = 7 SE +/- 0.041, N = 7 5.583 5.799 5.557 5.795 1. (CXX) g++ options: -O3 -fPIC -lm
ASTC Encoder Preset: Medium OpenBenchmarking.org MT/s, More Is Better ASTC Encoder 4.0 Preset: Medium EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 100 200 300 400 500 SE +/- 0.15, N = 7 SE +/- 0.32, N = 7 SE +/- 0.09, N = 7 SE +/- 0.67, N = 7 262.03 450.11 264.50 452.17 1. (CXX) g++ options: -O3 -flto -pthread
NAS Parallel Benchmarks Test / Class: MG.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 30K 60K 90K 120K 150K SE +/- 238.68, N = 9 SE +/- 444.87, N = 10 SE +/- 157.87, N = 9 SE +/- 980.49, N = 15 57200.16 98920.03 60128.52 123247.08 1. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.4
Etcpak Benchmark: Multi-Threaded - Configuration: ETC2 OpenBenchmarking.org Mpx/s, More Is Better Etcpak 1.0 Benchmark: Multi-Threaded - Configuration: ETC2 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1500 3000 4500 6000 7500 SE +/- 10.29, N = 9 SE +/- 38.74, N = 8 SE +/- 7.06, N = 9 SE +/- 24.69, N = 8 6689.61 6678.40 6990.00 6926.20 1. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
WebP Image Encode Encode Settings: Quality 100 OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 3 6 9 12 15 SE +/- 0.02, N = 10 SE +/- 0.03, N = 10 SE +/- 0.00, N = 10 SE +/- 0.01, N = 10 10.22 10.21 10.29 10.28 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
WebP Image Encode Encode Settings: Default OpenBenchmarking.org MP/s, More Is Better WebP Image Encode 1.2.4 Encode Settings: Default EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 SE +/- 0.02, N = 11 SE +/- 0.01, N = 11 SE +/- 0.01, N = 11 SE +/- 0.00, N = 11 16.15 16.17 16.23 16.21 1. (CC) gcc options: -fvisibility=hidden -O2 -lm
BLAKE2 OpenBenchmarking.org Cycles Per Byte, Fewer Is Better BLAKE2 20170307 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1.0013 2.0026 3.0039 4.0052 5.0065 SE +/- 0.11, N = 15 SE +/- 0.00, N = 14 SE +/- 0.00, N = 14 SE +/- 0.00, N = 14 4.45 4.34 3.91 3.90 1. (CC) gcc options: -O3 -march=native -lcrypto -lz
OpenFOAM CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 231.8 259.1 EPYC 7763 2P 76.8 472.8 520.4 EPYC 7773X 34.8 258.0 286.4 EPYC 7773X 2P 74.9 522.5 571.0 OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 10 CPU Power Consumption Monitor 140 280 420 560 700
OpenFOAM CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.6 225.9 258.5 EPYC 7763 2P 76.5 430.1 513.2 EPYC 7773X 34.3 243.2 283.5 EPYC 7773X 2P 75.6 478.8 572.0 OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 10 CPU Power Consumption Monitor 140 280 420 560 700
GNU Octave Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.6 74.3 115.1 EPYC 7763 2P 76.9 138.2 197.8 EPYC 7773X 33.8 69.2 114.3 EPYC 7773X 2P 75.0 130.1 204.0 OpenBenchmarking.org Watts, Fewer Is Better GNU Octave Benchmark 7.2.0 CPU Power Consumption Monitor 50 100 150 200 250
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 216.9 262.2 EPYC 7763 2P 75.6 359.1 460.9 EPYC 7773X 34.6 231.2 286.6 EPYC 7773X 2P 73.8 418.6 555.0 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20220823 CPU Power Consumption Monitor 140 280 420 560 700
WebP2 Image Encode Encode Settings: Quality 95, Compression Effort 7 OpenBenchmarking.org MP/s Per Watt, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0002 0.0004 0.0006 0.0008 0.001 0.001 0.001 0.001 0.001
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.6 197.3 264.1 EPYC 7763 2P 76.0 314.5 456.1 EPYC 7773X 33.7 213.9 286.7 EPYC 7773X 2P 74.2 361.5 550.4 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20220823 CPU Power Consumption Monitor 140 280 420 560 700
WebP2 Image Encode Encode Settings: Quality 75, Compression Effort 7 OpenBenchmarking.org MP/s Per Watt, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0005 0.001 0.0015 0.002 0.0025 0.002 0.002 0.002 0.002
WebP Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.5 58.7 71.7 EPYC 7763 2P 76.1 118.9 144.1 EPYC 7773X 33.6 55.1 66.8 EPYC 7773X 2P 73.7 114.1 136.8 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 40 80 120 160 200
WebP Image Encode Encode Settings: Quality 100, Highest Compression OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100, Highest Compression EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0135 0.027 0.0405 0.054 0.0675 0.056 0.028 0.060 0.029
WebP Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.4 50.1 71.3 EPYC 7763 2P 70.1 102.9 141.2 EPYC 7773X 33.7 47.2 66.4 EPYC 7773X 2P 73.6 99.9 137.7 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 40 80 120 160 200
WebP Image Encode Encode Settings: Quality 100 OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Quality 100 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0491 0.0982 0.1473 0.1964 0.2455 0.204 0.099 0.218 0.103
WebP Image Encode CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.5 47.2 71.5 EPYC 7763 2P 76.6 99.4 142.2 EPYC 7773X 33.5 44.3 66.6 EPYC 7773X 2P 74.5 95.0 137.6 OpenBenchmarking.org Watts, Fewer Is Better WebP Image Encode 1.2.4 CPU Power Consumption Monitor 40 80 120 160 200
WebP Image Encode Encode Settings: Default OpenBenchmarking.org MP/s Per Watt, More Is Better WebP Image Encode 1.2.4 Encode Settings: Default EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0824 0.1648 0.2472 0.3296 0.412 0.342 0.163 0.366 0.171
Aircrack-ng CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 252.1 286.3 EPYC 7763 2P 76.3 393.6 444.7 EPYC 7773X 34.5 246.0 283.1 EPYC 7773X 2P 74.2 468.4 536.2 OpenBenchmarking.org Watts, Fewer Is Better Aircrack-ng 1.7 CPU Power Consumption Monitor 140 280 420 560 700
Aircrack-ng OpenBenchmarking.org k/s Per Watt, More Is Better Aircrack-ng 1.7 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 160 320 480 640 800 693.68 408.25 720.42 409.84
asmFish CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.5 269.4 286.8 EPYC 7763 2P 76.5 537.9 569.6 EPYC 7773X 33.7 272.2 286.6 EPYC 7773X 2P 73.6 548.6 573.2 OpenBenchmarking.org Watts, Fewer Is Better asmFish 2018-07-23 CPU Power Consumption Monitor 140 280 420 560 700
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second Per Watt, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 130K 260K 390K 520K 650K 590632.17 542075.99 574873.97 531830.79
Coremark CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 206.4 232.2 EPYC 7763 2P 77.2 379.4 466.4 EPYC 7773X 34.6 239.7 273.4 EPYC 7773X 2P 73.8 438.3 552.3 OpenBenchmarking.org Watts, Fewer Is Better Coremark 1.0 CPU Power Consumption Monitor 140 280 420 560 700
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec Per Watt, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 2K 4K 6K 8K 10K 9060.92 9770.07 8292.50 8823.29
m-queens CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.6 198.2 257.2 EPYC 7763 2P 77.3 335.6 514.4 EPYC 7773X 33.6 208.7 277.7 EPYC 7773X 2P 74.1 351.9 558.0 OpenBenchmarking.org Watts, Fewer Is Better m-queens 1.2 CPU Power Consumption Monitor 140 280 420 560 700
Sysbench CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.2 197.3 205.7 EPYC 7763 2P 76.9 401.1 423.6 EPYC 7773X 34.7 223.2 232.8 EPYC 7773X 2P 73.9 467.5 491.8 OpenBenchmarking.org Watts, Fewer Is Better Sysbench 1.0.20 CPU Power Consumption Monitor 130 260 390 520 650
Sysbench Test: CPU OpenBenchmarking.org Events Per Second Per Watt, More Is Better Sysbench 1.0.20 Test: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 300 600 900 1200 1500 1281.01 1256.25 1187.26 1130.40
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 251.5 273.6 EPYC 7763 2P 76.7 505.3 550.2 EPYC 7773X 34.5 265.9 286.6 EPYC 7773X 2P 73.3 539.9 574.6 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.0 CPU Power Consumption Monitor 140 280 420 560 700
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s Per Watt, More Is Better OpenSSL 3.0 Algorithm: SHA256 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 60M 120M 180M 240M 300M 295613823.05 294464855.67 278365751.00 271280767.13
OpenSSL CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.4 232.4 250.3 EPYC 7763 2P 75.9 469.3 502.7 EPYC 7773X 33.7 259.2 276.0 EPYC 7773X 2P 73.8 522.8 558.9 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 3.0 CPU Power Consumption Monitor 140 280 420 560 700
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s Per Watt, More Is Better OpenSSL 3.0 Algorithm: RSA4096 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 800 1600 2400 3200 4000 3732.85 3684.04 3480.19 3406.12
BLAKE2 CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.3 40.9 60.3 EPYC 7763 2P 75.6 87.1 121.9 EPYC 7773X 33.6 38.7 55.1 EPYC 7773X 2P 73.5 84.2 116.5 OpenBenchmarking.org Watts, Fewer Is Better BLAKE2 20170307 CPU Power Consumption Monitor 40 80 120 160 200
Ngspice CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 74.4 87.3 EPYC 7763 2P 76.9 144.5 159.9 EPYC 7773X 33.7 66.4 80.3 EPYC 7773X 2P 75.4 135.9 152.1 OpenBenchmarking.org Watts, Fewer Is Better Ngspice 34 CPU Power Consumption Monitor 50 100 150 200 250
PJSIP CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.5 76.6 86.5 EPYC 7763 2P 39.6 158.6 203.3 EPYC 7773X 33.8 72.8 86.5 EPYC 7773X 2P 75.5 153.3 198.2 OpenBenchmarking.org Watts, Fewer Is Better PJSIP 2.11 CPU Power Consumption Monitor 50 100 150 200 250
PJSIP Method: INVITE OpenBenchmarking.org Responses Per Second Per Watt, More Is Better PJSIP 2.11 Method: INVITE EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 20 40 60 80 100 61.43 27.11 77.87 35.09
PJSIP CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 74.0 86.6 EPYC 7763 2P 76.0 155.0 185.0 EPYC 7773X 33.9 69.5 80.5 EPYC 7773X 2P 70.2 138.7 165.3 OpenBenchmarking.org Watts, Fewer Is Better PJSIP 2.11 CPU Power Consumption Monitor 50 100 150 200 250
PJSIP Method: OPTIONS, Stateful OpenBenchmarking.org Responses Per Second Per Watt, More Is Better PJSIP 2.11 Method: OPTIONS, Stateful EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 30 60 90 120 150 120.11 55.37 156.12 77.69
Liquid-DSP CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 227.7 269.8 EPYC 7763 2P 76.8 342.4 401.6 EPYC 7773X 34.1 224.4 265.2 EPYC 7773X 2P 73.8 393.1 466.4 OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 2021.01.31 CPU Power Consumption Monitor 120 240 360 480 600
Liquid-DSP Threads: 64 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 64 - Buffer Length: 256 - Filter Length: 57 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 3M 6M 9M 12M 15M 12341073.06 9308668.77 12678254.22 8500179.15
Numpy Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.5 71.6 92.2 EPYC 7763 2P 76.1 141.1 164.8 EPYC 7773X 33.7 66.7 70.9 EPYC 7773X 2P 73.8 134.5 141.7 OpenBenchmarking.org Watts, Fewer Is Better Numpy Benchmark CPU Power Consumption Monitor 50 100 150 200 250
Numpy Benchmark OpenBenchmarking.org Score Per Watt, More Is Better Numpy Benchmark EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 2 4 6 8 10 6.521 3.229 7.382 3.634
BRL-CAD CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 241.1 265.5 EPYC 7763 2P 77.1 179.7 352.4 EPYC 7773X 34.6 257.9 283.8 EPYC 7773X 2P 73.9 169.0 332.9 OpenBenchmarking.org Watts, Fewer Is Better BRL-CAD 7.32.6 CPU Power Consumption Monitor 100 200 300 400 500
BRL-CAD VGR Performance Metric OpenBenchmarking.org VGR Performance Metric Per Watt, More Is Better BRL-CAD 7.32.6 VGR Performance Metric EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4K 8K 12K 16K 20K 3087.78 16490.70 3015.47 17705.11
ClickHouse CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 140.6 218.4 EPYC 7763 2P 77.1 258.3 386.9 EPYC 7773X 34.6 144.7 235.1 EPYC 7773X 2P 75.1 264.2 427.1 OpenBenchmarking.org Watts, Fewer Is Better ClickHouse 22.5.4.19 CPU Power Consumption Monitor 110 220 330 440 550
ClickHouse 100M Rows Web Analytics Dataset, Third Run OpenBenchmarking.org Queries Per Minute, Geo Mean Per Watt, More Is Better ClickHouse 22.5.4.19 100M Rows Web Analytics Dataset, Third Run EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.6876 1.3752 2.0628 2.7504 3.438 2.770 1.623 3.056 1.630
Apache Cassandra CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 183.3 216.4 EPYC 7763 2P 77.5 332.3 402.3 EPYC 7773X 34.6 197.5 236.3 EPYC 7773X 2P 75.8 349.0 414.5 OpenBenchmarking.org Watts, Fewer Is Better Apache Cassandra 4.0 CPU Power Consumption Monitor 110 220 330 440 550
Apache Cassandra Test: Writes OpenBenchmarking.org Op/s Per Watt, More Is Better Apache Cassandra 4.0 Test: Writes EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 300 600 900 1200 1500 1374.98 593.16 1390.50 610.58
ebizzy CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 206.5 245.7 EPYC 7763 2P 78.3 412.0 497.0 EPYC 7773X 34.3 208.2 246.4 EPYC 7773X 2P 75.0 423.8 505.9 OpenBenchmarking.org Watts, Fewer Is Better ebizzy 0.3 CPU Power Consumption Monitor 130 260 390 520 650
ebizzy OpenBenchmarking.org Records/s Per Watt, More Is Better ebizzy 0.3 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 3K 6K 9K 12K 15K 11357.36 7429.47 12415.08 7385.23
PostgreSQL pgbench CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 187.9 284.8 EPYC 7763 2P 76.9 302.6 439.5 EPYC 7773X 34.4 190.3 288.2 EPYC 7773X 2P 74.8 351.6 564.8 OpenBenchmarking.org Watts, Fewer Is Better PostgreSQL pgbench 14.0 CPU Power Consumption Monitor 140 280 420 560 700
PostgreSQL pgbench CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 150.1 239.8 EPYC 7763 2P 76.4 210.4 354.6 EPYC 7773X 34.5 157.0 255.7 EPYC 7773X 2P 74.5 253.0 419.9 OpenBenchmarking.org Watts, Fewer Is Better PostgreSQL pgbench 14.0 CPU Power Consumption Monitor 110 220 330 440 550
Etcpak CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 92.1 192.9 EPYC 7763 2P 77.2 166.9 303.2 EPYC 7773X 33.9 86.1 179.7 EPYC 7773X 2P 74.6 156.6 285.6 OpenBenchmarking.org Watts, Fewer Is Better Etcpak 1.0 CPU Power Consumption Monitor 80 160 240 320 400
Etcpak Benchmark: Multi-Threaded - Configuration: ETC2 OpenBenchmarking.org Mpx/s Per Watt, More Is Better Etcpak 1.0 Benchmark: Multi-Threaded - Configuration: ETC2 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 20 40 60 80 100 72.67 40.01 81.19 44.23
ASTC Encoder CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 185.9 268.2 EPYC 7763 2P 77.3 301.0 561.8 EPYC 7773X 34.2 182.6 266.5 EPYC 7773X 2P 74.7 304.7 572.9 OpenBenchmarking.org Watts, Fewer Is Better ASTC Encoder 4.0 CPU Power Consumption Monitor 140 280 420 560 700
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Exhaustive EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0054 0.0108 0.0162 0.0216 0.027 0.019 0.024 0.020 0.023
ASTC Encoder CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 152.6 268.1 EPYC 7763 2P 77.1 240.1 544.5 EPYC 7773X 34.1 151.2 266.0 EPYC 7773X 2P 53.9 245.3 557.9 OpenBenchmarking.org Watts, Fewer Is Better ASTC Encoder 4.0 CPU Power Consumption Monitor 140 280 420 560 700
ASTC Encoder Preset: Thorough OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Thorough EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0621 0.1242 0.1863 0.2484 0.3105 0.222 0.276 0.226 0.267
ASTC Encoder CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 97.6 269.7 EPYC 7763 2P 76.2 170.5 533.1 EPYC 7773X 34.3 95.2 267.4 EPYC 7773X 2P 74.0 168.1 533.9 OpenBenchmarking.org Watts, Fewer Is Better ASTC Encoder 4.0 CPU Power Consumption Monitor 140 280 420 560 700
ASTC Encoder Preset: Medium OpenBenchmarking.org MT/s Per Watt, More Is Better ASTC Encoder 4.0 Preset: Medium EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.6248 1.2496 1.8744 2.4992 3.124 2.685 2.640 2.777 2.689
GraphicsMagick CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.6 247.5 270.5 EPYC 7763 2P 77.4 446.1 481.8 EPYC 7773X 34.7 251.7 271.8 EPYC 7773X 2P 74.5 453.4 488.4 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.38 CPU Power Consumption Monitor 130 260 390 520 650
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Sharpen EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.5319 1.0638 1.5957 2.1276 2.6595 2.352 1.924 2.364 1.930
GraphicsMagick CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 239.7 261.3 EPYC 7763 2P 76.4 435.3 468.1 EPYC 7773X 33.9 243.1 260.4 EPYC 7773X 2P 73.8 441.6 473.6 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.38 CPU Power Consumption Monitor 120 240 360 480 600
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.38 Operation: Enhanced EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.9725 1.945 2.9175 3.89 4.8625 4.322 3.321 4.274 3.297
libavif avifenc CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.6 69.6 155.8 EPYC 7763 2P 76.5 135.1 258.8 EPYC 7773X 34.0 67.7 164.2 EPYC 7773X 2P 74.0 131.7 257.6 OpenBenchmarking.org Watts, Fewer Is Better libavif avifenc 0.10 CPU Power Consumption Monitor 70 140 210 280 350
libavif avifenc CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 95.0 246.1 EPYC 7763 2P 76.7 162.1 374.2 EPYC 7773X 33.9 97.7 282.8 EPYC 7773X 2P 73.3 166.0 418.1 OpenBenchmarking.org Watts, Fewer Is Better libavif avifenc 0.10 CPU Power Consumption Monitor 110 220 330 440 550
libavif avifenc CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 115.9 274.9 EPYC 7763 2P 76.7 191.3 385.6 EPYC 7773X 34.1 116.5 284.3 EPYC 7773X 2P 74.4 195.0 445.7 OpenBenchmarking.org Watts, Fewer Is Better libavif avifenc 0.10 CPU Power Consumption Monitor 120 240 360 480 600
JPEG XL libjxl CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 77.7 99.5 EPYC 7763 2P 73.6 155.2 196.4 EPYC 7773X 33.9 72.8 94.5 EPYC 7773X 2P 74.5 147.7 190.6 OpenBenchmarking.org Watts, Fewer Is Better JPEG XL libjxl 0.6.1 CPU Power Consumption Monitor 50 100 150 200 250
JPEG XL libjxl Input: PNG - Encode Speed: 8 OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL libjxl 0.6.1 Input: PNG - Encode Speed: 8 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0032 0.0064 0.0096 0.0128 0.016 0.013 0.006 0.014 0.007
JPEG XL libjxl CPU Power Consumption Monitor Min Avg Max EPYC 7763 18.0 67.4 84.1 EPYC 7763 2P 77.5 144.8 177.0 EPYC 7773X 33.9 63.3 77.3 EPYC 7773X 2P 74.4 137.8 169.8 OpenBenchmarking.org Watts, Fewer Is Better JPEG XL libjxl 0.6.1 CPU Power Consumption Monitor 50 100 150 200 250
JPEG XL libjxl Input: JPEG - Encode Speed: 8 OpenBenchmarking.org MP/s Per Watt, More Is Better JPEG XL libjxl 0.6.1 Input: JPEG - Encode Speed: 8 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.1017 0.2034 0.3051 0.4068 0.5085 0.429 0.188 0.452 0.193
x265 CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 136.7 171.9 EPYC 7763 2P 76.9 230.2 277.5 EPYC 7773X 34.2 138.7 179.1 EPYC 7773X 2P 75.3 229.4 291.1 OpenBenchmarking.org Watts, Fewer Is Better x265 3.4 CPU Power Consumption Monitor 70 140 210 280 350
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0455 0.091 0.1365 0.182 0.2275 0.197 0.088 0.202 0.091
SVT-HEVC CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 109.3 257.2 EPYC 7763 2P 77.2 189.4 375.4 EPYC 7773X 34.2 107.9 267.9 EPYC 7773X 2P 38.4 186.1 359.0 OpenBenchmarking.org Watts, Fewer Is Better SVT-HEVC 1.5.0 CPU Power Consumption Monitor 100 200 300 400 500
SVT-HEVC Tuning: 10 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.5146 1.0292 1.5438 2.0584 2.573 2.170 1.030 2.287 0.901
SVT-HEVC CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 245.8 274.9 EPYC 7763 2P 77.8 455.6 570.4 EPYC 7773X 34.3 241.0 277.9 EPYC 7773X 2P 74.8 465.7 573.6 OpenBenchmarking.org Watts, Fewer Is Better SVT-HEVC 1.5.0 CPU Power Consumption Monitor 140 280 420 560 700
SVT-HEVC Tuning: 1 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0104 0.0208 0.0312 0.0416 0.052 0.046 0.039 0.046 0.038
Kvazaar CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 156.0 194.3 EPYC 7763 2P 77.3 289.0 392.1 EPYC 7773X 34.2 167.4 214.5 EPYC 7773X 2P 75.2 296.8 402.0 OpenBenchmarking.org Watts, Fewer Is Better Kvazaar 2.1 CPU Power Consumption Monitor 110 220 330 440 550
Kvazaar Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.1 Video Input: Bosphorus 4K - Video Preset: Very Fast EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0565 0.113 0.1695 0.226 0.2825 0.251 0.197 0.249 0.186
AOM AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 104.4 127.4 EPYC 7763 2P 78.4 196.8 226.0 EPYC 7773X 33.9 102.0 125.8 EPYC 7773X 2P 76.2 192.5 224.1 OpenBenchmarking.org Watts, Fewer Is Better AOM AV1 3.4 CPU Power Consumption Monitor 60 120 180 240 300
AOM AV1 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 3.4 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.1091 0.2182 0.3273 0.4364 0.5455 0.440 0.187 0.485 0.202
AOM AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 95.4 119.6 EPYC 7763 2P 77.1 184.5 225.7 EPYC 7773X 34.1 90.9 117.6 EPYC 7773X 2P 75.0 177.7 223.7 OpenBenchmarking.org Watts, Fewer Is Better AOM AV1 3.4 CPU Power Consumption Monitor 60 120 180 240 300
AOM AV1 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 3.4 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.1667 0.3334 0.5001 0.6668 0.8335 0.643 0.260 0.741 0.294
AOM AV1 CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 93.5 119.0 EPYC 7763 2P 76.5 181.4 218.7 EPYC 7773X 34.4 89.2 116.5 EPYC 7773X 2P 73.6 173.9 212.6 OpenBenchmarking.org Watts, Fewer Is Better AOM AV1 3.4 CPU Power Consumption Monitor 60 120 180 240 300
AOM AV1 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better AOM AV1 3.4 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.1665 0.333 0.4995 0.666 0.8325 0.639 0.263 0.740 0.298
LuxCoreRender CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 253.9 283.2 EPYC 7763 2P 76.6 508.8 573.5 EPYC 7773X 34.8 251.9 278.7 EPYC 7773X 2P 75.2 520.3 574.4 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor 140 280 420 560 700
LuxCoreRender Scene: Orange Juice - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: Orange Juice - Acceleration: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0124 0.0248 0.0372 0.0496 0.062 0.055 0.043 0.053 0.041
LuxCoreRender CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 255.7 275.4 EPYC 7763 2P 76.5 492.5 570.9 EPYC 7773X 34.9 253.6 276.7 EPYC 7773X 2P 74.8 528.3 578.8 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.6 CPU Power Consumption Monitor 160 320 480 640 800
LuxCoreRender Scene: DLSC - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.6 Scene: DLSC - Acceleration: CPU EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0083 0.0166 0.0249 0.0332 0.0415 0.037 0.028 0.037 0.026
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.4 233.1 273.8 EPYC 7763 2P 76.9 512.1 573.7 EPYC 7773X 35.2 229.8 269.1 EPYC 7773X 2P 74.2 512.5 574.0 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 243.6 273.6 EPYC 7763 2P 77.9 487.2 572.8 EPYC 7773X 34.9 240.6 269.2 EPYC 7773X 2P 74.4 486.7 573.7 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 241.9 275.0 EPYC 7763 2P 77.3 497.9 572.7 EPYC 7773X 34.9 238.2 269.1 EPYC 7773X 2P 73.8 500.2 574.1 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 229.0 275.4 EPYC 7763 2P 77.6 503.5 572.8 EPYC 7773X 34.9 224.4 269.3 EPYC 7773X 2P 73.6 505.3 573.4 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.5 240.8 275.0 EPYC 7763 2P 77.3 521.6 572.1 EPYC 7773X 34.7 237.1 269.6 EPYC 7773X 2P 73.7 523.4 574.6 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 242.4 276.9 EPYC 7763 2P 78.1 495.2 572.8 EPYC 7773X 35.0 238.7 270.5 EPYC 7773X 2P 73.6 499.2 574.0 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 227.5 273.4 EPYC 7763 2P 76.9 501.9 572.8 EPYC 7773X 34.7 224.4 269.8 EPYC 7773X 2P 74.5 501.8 576.0 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.4 240.0 273.6 EPYC 7763 2P 77.4 522.2 572.8 EPYC 7773X 35.0 236.1 269.1 EPYC 7773X 2P 74.7 516.7 573.2 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Studio CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 240.5 274.4 EPYC 7763 2P 76.7 497.0 571.5 EPYC 7773X 35.1 237.5 269.0 EPYC 7773X 2P 74.4 498.4 573.7 OpenBenchmarking.org Watts, Fewer Is Better OSPRay Studio 0.11 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.2 263.4 269.5 EPYC 7763 2P 77.3 544.6 558.3 EPYC 7773X 35.0 265.8 271.7 EPYC 7773X 2P 74.1 551.1 566.8 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.10 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Benchmark: particle_volume/ao/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: particle_volume/ao/real_time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0153 0.0306 0.0459 0.0612 0.0765 0.068 0.060 0.067 0.059
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.4 249.9 274.6 EPYC 7763 2P 77.2 528.3 570.5 EPYC 7773X 35.0 250.8 273.9 EPYC 7773X 2P 73.6 534.3 574.0 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.10 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0124 0.0248 0.0372 0.0496 0.062 0.055 0.049 0.055 0.048
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 260.4 284.8 EPYC 7763 2P 77.9 522.0 570.2 EPYC 7773X 34.9 260.2 286.0 EPYC 7773X 2P 73.6 526.1 573.7 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.10 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Benchmark: gravity_spheres_volume/dim_512/scivis/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/scivis/real_time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0074 0.0148 0.0222 0.0296 0.037 0.033 0.030 0.033 0.030
OSPRay CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 260.6 285.0 EPYC 7763 2P 77.9 520.5 571.8 EPYC 7773X 34.2 260.9 286.0 EPYC 7773X 2P 74.4 525.3 573.5 OpenBenchmarking.org Watts, Fewer Is Better OSPRay 2.10 CPU Power Consumption Monitor 140 280 420 560 700
OSPRay Benchmark: gravity_spheres_volume/dim_512/ao/real_time OpenBenchmarking.org Items Per Second Per Watt, More Is Better OSPRay 2.10 Benchmark: gravity_spheres_volume/dim_512/ao/real_time EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0079 0.0158 0.0237 0.0316 0.0395 0.035 0.032 0.035 0.031
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 214.2 286.3 EPYC 7763 2P 77.0 371.8 570.4 EPYC 7773X 34.6 208.5 286.8 EPYC 7773X 2P 75.8 357.5 574.2 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 140 280 420 560 700
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Crown EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0731 0.1462 0.2193 0.2924 0.3655 0.272 0.273 0.304 0.325
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 205.8 285.8 EPYC 7763 2P 76.5 365.0 506.3 EPYC 7773X 34.4 201.4 286.6 EPYC 7773X 2P 74.8 379.4 573.7 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 140 280 420 560 700
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0808 0.1616 0.2424 0.3232 0.404 0.321 0.187 0.359 0.248
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 209.6 286.1 EPYC 7763 2P 77.7 360.7 570.0 EPYC 7773X 34.4 206.5 286.8 EPYC 7773X 2P 75.3 347.7 573.7 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 140 280 420 560 700
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer - Model: Crown EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0828 0.1656 0.2484 0.3312 0.414 0.301 0.310 0.333 0.368
Embree CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 201.9 285.1 EPYC 7763 2P 76.7 347.1 489.2 EPYC 7773X 34.2 197.6 286.7 EPYC 7773X 2P 75.1 370.3 572.7 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 140 280 420 560 700
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer - Model: Asian Dragon EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0918 0.1836 0.2754 0.3672 0.459 0.352 0.212 0.408 0.270
POV-Ray CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 159.6 270.7 EPYC 7763 2P 76.5 253.1 550.8 EPYC 7773X 34.5 159.1 268.3 EPYC 7773X 2P 74.8 254.5 553.8 OpenBenchmarking.org Watts, Fewer Is Better POV-Ray 3.7.0.7 CPU Power Consumption Monitor 140 280 420 560 700
Appleseed CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 219.8 239.4 EPYC 7763 2P 78.7 357.5 404.3 EPYC 7773X 35.0 225.8 244.8 EPYC 7773X 2P 74.2 395.5 444.5 OpenBenchmarking.org Watts, Fewer Is Better Appleseed 2.0 Beta CPU Power Consumption Monitor 120 240 360 480 600
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 264.8 277.0 EPYC 7763 2P 77.0 529.7 573.2 EPYC 7773X 34.9 257.5 269.5 EPYC 7773X 2P 73.9 535.5 574.1 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 140 280 420 560 700
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 249.7 265.7 EPYC 7763 2P 77.0 509.0 572.8 EPYC 7773X 35.1 247.3 261.7 EPYC 7773X 2P 74.3 512.1 571.7 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 140 280 420 560 700
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 230.4 265.9 EPYC 7763 2P 77.0 441.7 572.8 EPYC 7773X 34.8 227.6 261.3 EPYC 7773X 2P 73.7 438.2 570.6 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 140 280 420 560 700
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 251.6 270.9 EPYC 7763 2P 77.1 498.8 572.5 EPYC 7773X 34.4 248.9 265.3 EPYC 7773X 2P 74.0 505.3 573.3 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 140 280 420 560 700
Blender CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 228.2 270.3 EPYC 7763 2P 77.0 428.2 573.4 EPYC 7773X 33.9 227.6 264.3 EPYC 7773X 2P 74.2 438.6 572.3 OpenBenchmarking.org Watts, Fewer Is Better Blender 3.3 CPU Power Consumption Monitor 140 280 420 560 700
7-Zip Compression CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 223.5 282.3 EPYC 7763 2P 77.1 438.1 572.1 EPYC 7773X 34.0 235.8 286.6 EPYC 7773X 2P 74.0 446.2 575.3 OpenBenchmarking.org Watts, Fewer Is Better 7-Zip Compression 22.01 CPU Power Consumption Monitor 140 280 420 560 700
7-Zip Compression Test: Decompression Rating OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 22.01 Test: Decompression Rating EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 400 800 1200 1600 2000 1723.26 1641.75 1748.22 1676.79
Build2 CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 138.4 286.6 EPYC 7763 2P 76.6 226.2 572.1 EPYC 7773X 34.1 138.7 286.6 EPYC 7773X 2P 73.8 226.2 573.1 OpenBenchmarking.org Watts, Fewer Is Better Build2 0.13 CPU Power Consumption Monitor 140 280 420 560 700
Timed Wasmer Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 107.5 204.4 EPYC 7763 2P 76.9 192.5 339.3 EPYC 7773X 34.0 107.2 246.0 EPYC 7773X 2P 74.0 188.1 351.8 OpenBenchmarking.org Watts, Fewer Is Better Timed Wasmer Compilation 2.3 CPU Power Consumption Monitor 100 200 300 400 500
Timed CPython Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.5 78.6 248.1 EPYC 7763 2P 77.5 152.1 359.7 EPYC 7773X 34.0 73.7 279.3 EPYC 7773X 2P 74.5 143.5 443.0 OpenBenchmarking.org Watts, Fewer Is Better Timed CPython Compilation 3.10.6 CPU Power Consumption Monitor 120 240 360 480 600
Timed PHP Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 101.1 286.6 EPYC 7763 2P 77.1 179.5 569.8 EPYC 7773X 34.0 97.9 286.6 EPYC 7773X 2P 73.7 173.4 573.3 OpenBenchmarking.org Watts, Fewer Is Better Timed PHP Compilation 8.1.9 CPU Power Consumption Monitor 140 280 420 560 700
Timed Node.js Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 199.8 286.3 EPYC 7763 2P 77.2 328.9 568.6 EPYC 7773X 34.1 201.2 286.9 EPYC 7773X 2P 73.9 330.8 576.9 OpenBenchmarking.org Watts, Fewer Is Better Timed Node.js Compilation 18.8 CPU Power Consumption Monitor 140 280 420 560 700
Timed MPlayer Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 141.1 285.6 EPYC 7763 2P 77.6 220.0 570.7 EPYC 7773X 34.1 139.3 286.6 EPYC 7773X 2P 74.5 225.3 573.0 OpenBenchmarking.org Watts, Fewer Is Better Timed MPlayer Compilation 1.5 CPU Power Consumption Monitor 140 280 420 560 700
Timed Mesa Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 128.7 286.4 EPYC 7763 2P 76.7 206.9 572.7 EPYC 7773X 34.4 124.6 286.6 EPYC 7773X 2P 75.8 202.8 573.0 OpenBenchmarking.org Watts, Fewer Is Better Timed Mesa Compilation 21.0 CPU Power Consumption Monitor 140 280 420 560 700
Timed Linux Kernel Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.4 247.4 286.2 EPYC 7763 2P 79.0 441.3 573.4 EPYC 7773X 34.7 250.1 286.9 EPYC 7773X 2P 74.0 442.9 574.3 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 5.18 CPU Power Consumption Monitor 140 280 420 560 700
Timed Linux Kernel Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.6 158.8 286.3 EPYC 7763 2P 77.9 259.8 572.8 EPYC 7773X 34.1 157.7 286.6 EPYC 7773X 2P 74.4 255.5 573.2 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 5.18 CPU Power Consumption Monitor 140 280 420 560 700
Timed ImageMagick Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 105.3 286.4 EPYC 7763 2P 77.1 179.7 569.8 EPYC 7773X 34.2 103.4 286.4 EPYC 7773X 2P 74.3 175.7 573.3 OpenBenchmarking.org Watts, Fewer Is Better Timed ImageMagick Compilation 6.9.0 CPU Power Consumption Monitor 140 280 420 560 700
Timed Godot Game Engine Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 170.0 283.9 EPYC 7763 2P 76.9 261.5 565.8 EPYC 7773X 34.2 171.5 286.6 EPYC 7773X 2P 73.9 270.7 574.5 OpenBenchmarking.org Watts, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 CPU Power Consumption Monitor 140 280 420 560 700
Timed Gem5 Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 149.9 285.7 EPYC 7763 2P 77.2 245.0 569.4 EPYC 7773X 32.9 150.0 286.9 EPYC 7773X 2P 75.7 240.7 574.0 OpenBenchmarking.org Watts, Fewer Is Better Timed Gem5 Compilation 21.2 CPU Power Consumption Monitor 140 280 420 560 700
Timed LLVM Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 177.6 286.5 EPYC 7763 2P 76.7 278.7 572.9 EPYC 7773X 34.5 182.0 286.8 EPYC 7773X 2P 73.1 283.9 574.8 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 13.0 CPU Power Consumption Monitor 140 280 420 560 700
Timed LLVM Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.2 213.9 286.3 EPYC 7763 2P 78.2 352.6 572.7 EPYC 7773X 34.5 215.9 286.7 EPYC 7773X 2P 73.6 350.0 574.3 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 13.0 CPU Power Consumption Monitor 140 280 420 560 700
Timed FFmpeg Compilation CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 143.8 286.3 EPYC 7763 2P 38.7 235.4 570.1 EPYC 7773X 34.5 142.3 286.8 EPYC 7773X 2P 74.6 233.6 572.9 OpenBenchmarking.org Watts, Fewer Is Better Timed FFmpeg Compilation 4.4 CPU Power Consumption Monitor 140 280 420 560 700
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 162.4 241.1 EPYC 7763 2P 77.7 291.9 411.8 EPYC 7773X 34.3 164.6 210.2 EPYC 7773X 2P 74.8 302.4 424.8 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.2 162.2 242.8 EPYC 7763 2P 77.7 291.8 399.7 EPYC 7773X 34.3 164.7 221.0 EPYC 7773X 2P 74.7 303.3 389.1 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 163.6 234.0 EPYC 7763 2P 78.1 294.3 409.2 EPYC 7773X 34.4 163.8 213.6 EPYC 7773X 2P 76.0 302.7 426.9 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 120.7 211.7 EPYC 7763 2P 77.8 233.2 359.0 EPYC 7773X 34.1 123.8 211.3 EPYC 7773X 2P 75.2 239.5 344.5 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 100 200 300 400 500
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 114.8 176.7 EPYC 7763 2P 77.7 237.0 349.7 EPYC 7773X 34.1 127.1 225.8 EPYC 7773X 2P 74.8 252.8 400.9 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 152.4 241.8 EPYC 7763 2P 77.4 280.8 490.2 EPYC 7773X 34.2 167.6 269.5 EPYC 7773X 2P 75.0 308.1 572.9 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 140 280 420 560 700
oneDNN CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 151.1 248.0 EPYC 7763 2P 77.2 262.1 417.6 EPYC 7773X 34.6 157.6 252.9 EPYC 7773X 2P 74.0 283.6 465.8 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.6 CPU Power Consumption Monitor 120 240 360 480 600
LeelaChessZero CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 224.5 272.2 EPYC 7763 2P 77.5 344.5 526.6 EPYC 7773X 34.6 231.7 287.0 EPYC 7773X 2P 75.3 337.6 556.6 OpenBenchmarking.org Watts, Fewer Is Better LeelaChessZero 0.28 CPU Power Consumption Monitor 140 280 420 560 700
LeelaChessZero Backend: Eigen OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better LeelaChessZero 0.28 Backend: Eigen EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 5 10 15 20 25 17.37 13.35 22.82 17.20
ASKAP CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 188.3 279.4 EPYC 7763 2P 77.2 383.2 560.9 EPYC 7773X 34.6 209.3 271.5 EPYC 7773X 2P 75.1 436.4 556.8 OpenBenchmarking.org Watts, Fewer Is Better ASKAP 1.0 CPU Power Consumption Monitor 140 280 420 560 700
ASKAP Test: tConvolve MPI - Gridding OpenBenchmarking.org Mpix/sec Per Watt, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 40 80 120 160 200 122.94 117.40 162.65 152.74
ONNX Runtime CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.2 195.6 218.7 EPYC 7763 2P 77.7 438.3 467.1 EPYC 7773X 34.4 209.3 220.5 EPYC 7773X 2P 75.0 468.5 502.5 OpenBenchmarking.org Watts, Fewer Is Better ONNX Runtime 1.11 CPU Power Consumption Monitor 130 260 390 520 650
ONNX Runtime Model: fcn-resnet101-11 - Device: CPU - Executor: Standard OpenBenchmarking.org Inferences Per Minute Per Watt, More Is Better ONNX Runtime 1.11 Model: fcn-resnet101-11 - Device: CPU - Executor: Standard EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.1967 0.3934 0.5901 0.7868 0.9835 0.874 0.479 0.836 0.470
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 241.3 265.3 EPYC 7763 2P 77.5 451.9 502.8 EPYC 7773X 34.7 246.0 275.5 EPYC 7773X 2P 74.8 487.2 549.0 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 140 280 420 560 700
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 235.5 255.0 EPYC 7763 2P 76.7 448.2 493.5 EPYC 7773X 34.8 230.4 249.2 EPYC 7773X 2P 73.9 467.2 522.5 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 130 260 390 520 650
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.5 255.1 274.0 EPYC 7763 2P 76.4 513.7 555.6 EPYC 7773X 34.8 230.2 246.3 EPYC 7773X 2P 74.3 512.9 556.0 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 140 280 420 560 700
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 240.3 261.2 EPYC 7763 2P 76.1 484.5 531.9 EPYC 7773X 34.9 229.6 245.7 EPYC 7773X 2P 73.9 485.8 527.3 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 130 260 390 520 650
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 239.7 271.9 EPYC 7763 2P 76.6 467.1 547.1 EPYC 7773X 34.8 241.4 284.0 EPYC 7773X 2P 73.8 491.6 568.6 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 140 280 420 560 700
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.2 237.6 272.1 EPYC 7763 2P 76.7 460.8 546.3 EPYC 7773X 35.0 239.7 279.3 EPYC 7773X 2P 73.8 488.4 567.0 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 140 280 420 560 700
OpenVINO CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 218.2 263.7 EPYC 7763 2P 77.8 381.3 466.3 EPYC 7773X 33.9 220.1 263.4 EPYC 7773X 2P 74.4 404.4 487.2 OpenBenchmarking.org Watts, Fewer Is Better OpenVINO 2022.2.dev CPU Power Consumption Monitor 130 260 390 520 650
PyHPC Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.7 83.0 92.6 EPYC 7763 2P 77.7 153.7 186.2 EPYC 7773X 34.0 73.7 84.7 EPYC 7773X 2P 74.7 143.7 165.5 OpenBenchmarking.org Watts, Fewer Is Better PyHPC Benchmarks 3.0 CPU Power Consumption Monitor 50 100 150 200 250
PyHPC Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 88.5 96.1 EPYC 7763 2P 76.6 158.1 197.3 EPYC 7773X 34.2 78.8 105.5 EPYC 7773X 2P 74.2 146.8 174.1 OpenBenchmarking.org Watts, Fewer Is Better PyHPC Benchmarks 3.0 CPU Power Consumption Monitor 50 100 150 200 250
Rodinia CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 217.5 260.4 EPYC 7763 2P 77.3 387.3 542.0 EPYC 7773X 34.1 213.8 256.8 EPYC 7773X 2P 75.3 382.9 522.2 OpenBenchmarking.org Watts, Fewer Is Better Rodinia 3.1 CPU Power Consumption Monitor 140 280 420 560 700
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 159.4 263.0 EPYC 7763 2P 77.8 246.6 496.4 EPYC 7773X 34.0 128.9 261.8 EPYC 7773X 2P 75.0 247.0 526.9 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 130 260 390 520 650
NAS Parallel Benchmarks Test / Class: CG.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 70 140 210 280 350 152.95 189.86 311.33 206.78
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 111.1 218.5 EPYC 7763 2P 77.4 197.9 469.5 EPYC 7773X 34.3 112.1 231.5 EPYC 7773X 2P 74.3 198.2 543.6 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 140 280 420 560 700
NAS Parallel Benchmarks Test / Class: MG.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 130 260 390 520 650 514.65 499.84 536.49 621.83
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 173.1 256.1 EPYC 7763 2P 76.9 308.1 520.1 EPYC 7773X 34.6 183.6 278.0 EPYC 7773X 2P 75.4 315.8 548.5 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 140 280 420 560 700
NAS Parallel Benchmarks Test / Class: IS.D OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 4 8 12 16 20 15.57 15.35 15.46 16.36
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 200.7 258.1 EPYC 7763 2P 77.7 401.4 554.7 EPYC 7773X 34.2 221.9 286.4 EPYC 7773X 2P 75.1 362.3 573.7 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 140 280 420 560 700
NAS Parallel Benchmarks Test / Class: SP.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 140 280 420 560 700 258.55 285.67 401.85 635.03
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 146.8 269.2 EPYC 7763 2P 77.5 257.1 555.9 EPYC 7773X 34.4 129.5 286.7 EPYC 7773X 2P 74.9 245.6 573.2 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 140 280 420 560 700
NAS Parallel Benchmarks Test / Class: SP.B OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 200 400 600 800 1000 604.33 530.78 1044.53 667.00
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 194.6 246.9 EPYC 7763 2P 77.5 357.3 552.5 EPYC 7773X 34.4 195.5 286.8 EPYC 7773X 2P 74.4 342.0 572.6 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 140 280 420 560 700
NAS Parallel Benchmarks Test / Class: LU.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 300 600 900 1200 1500 740.63 804.16 1308.26 1147.28
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 161.4 256.0 EPYC 7763 2P 76.5 276.4 526.5 EPYC 7773X 34.7 161.9 254.9 EPYC 7773X 2P 75.0 278.6 547.3 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 140 280 420 560 700
NAS Parallel Benchmarks Test / Class: FT.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 100 200 300 400 500 377.63 427.78 399.84 458.52
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 222.7 279.8 EPYC 7763 2P 78.3 413.6 562.0 EPYC 7773X 34.9 231.2 286.5 EPYC 7773X 2P 73.5 388.7 574.1 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 140 280 420 560 700
NAS Parallel Benchmarks Test / Class: BT.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 200 400 600 800 1000 598.05 610.29 720.51 949.97
NWChem CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better NWChem 7.0.2 CPU Power Consumption Monitor EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 100 200 300 400 500 Min: 35.9 / Avg: 240.12 / Max: 267.51 Min: 77.51 / Avg: 461.15 / Max: 520.72 Min: 34.65 / Avg: 274.01 / Max: 286.94 Min: 74.75 / Avg: 539.19 / Max: 573.15
ACES DGEMM CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 199.0 286.6 EPYC 7763 2P 78.3 338.1 573.3 EPYC 7773X 34.3 182.1 283.5 EPYC 7773X 2P 75.1 306.9 557.1 OpenBenchmarking.org Watts, Fewer Is Better ACES DGEMM 1.0 CPU Power Consumption Monitor 140 280 420 560 700
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0374 0.0748 0.1122 0.1496 0.187 0.118 0.115 0.162 0.166
Pennant CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.8 192.7 271.4 EPYC 7763 2P 77.4 305.1 503.7 EPYC 7773X 34.4 196.3 279.0 EPYC 7773X 2P 74.8 326.7 570.0 OpenBenchmarking.org Watts, Fewer Is Better Pennant 1.0.1 CPU Power Consumption Monitor 140 280 420 560 700
Pennant CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 154.0 253.1 EPYC 7763 2P 76.9 259.9 497.9 EPYC 7773X 34.4 165.8 278.3 EPYC 7773X 2P 41.9 279.3 567.9 OpenBenchmarking.org Watts, Fewer Is Better Pennant 1.0.1 CPU Power Consumption Monitor 140 280 420 560 700
LULESH CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 175.1 259.7 EPYC 7763 2P 78.1 363.1 533.0 EPYC 7773X 34.4 181.4 266.4 EPYC 7773X 2P 76.0 380.6 553.8 OpenBenchmarking.org Watts, Fewer Is Better LULESH 2.0.3 CPU Power Consumption Monitor 140 280 420 560 700
LULESH OpenBenchmarking.org z/s Per Watt, More Is Better LULESH 2.0.3 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 30 60 90 120 150 113.89 105.34 125.28 115.32
Xcompact3d Incompact3d CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 100 200 300 400 500 Min: 35.9 / Avg: 214.87 / Max: 250.35 Min: 77.69 / Avg: 462.38 / Max: 512.37 Min: 34.48 / Avg: 224.91 / Max: 274.82 Min: 74.4 / Avg: 498.45 / Max: 544.95
Xcompact3d Incompact3d CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.0 193.9 243.8 EPYC 7763 2P 77.2 363.0 507.4 EPYC 7773X 34.3 204.7 265.7 EPYC 7773X 2P 75.3 380.7 554.3 OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor 140 280 420 560 700
Xcompact3d Incompact3d CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 145.7 250.3 EPYC 7763 2P 77.3 251.3 508.1 EPYC 7773X 20.5 145.8 267.8 EPYC 7773X 2P 73.8 247.1 568.9 OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor 140 280 420 560 700
Algebraic Multi-Grid Benchmark CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.3 184.2 249.6 EPYC 7763 2P 76.9 395.0 502.9 EPYC 7773X 35.1 201.0 257.7 EPYC 7773X 2P 73.2 438.6 546.0 OpenBenchmarking.org Watts, Fewer Is Better Algebraic Multi-Grid Benchmark 1.2 CPU Power Consumption Monitor 140 280 420 560 700
Algebraic Multi-Grid Benchmark OpenBenchmarking.org Figure Of Merit Per Watt, More Is Better Algebraic Multi-Grid Benchmark 1.2 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 1.2M 2.4M 3.6M 4.8M 6M 5507035.54 4886141.12 5260039.45 4557540.60
RELION CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better RELION 3.1.1 CPU Power Consumption Monitor EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 100 200 300 400 500 Min: 36.37 / Avg: 263.51 / Max: 280.53 Min: 76.42 / Avg: 519.5 / Max: 540.12 Min: 34.87 / Avg: 278.21 / Max: 286.87 Min: 73.82 / Avg: 546.92 / Max: 575.58
WRF CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better WRF 4.2.2 CPU Power Consumption Monitor EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 100 200 300 400 500 Min: 36.05 / Avg: 216.85 / Max: 272.97 Min: 77.54 / Avg: 467 / Max: 537.26 Min: 34.41 / Avg: 237.81 / Max: 286.77 Min: 73.95 / Avg: 519.71 / Max: 573.39
High Performance Conjugate Gradient CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.2 195.9 245.5 EPYC 7763 2P 76.5 415.4 503.2 EPYC 7773X 34.8 212.3 269.7 EPYC 7773X 2P 74.0 457.8 557.3 OpenBenchmarking.org Watts, Fewer Is Better High Performance Conjugate Gradient 3.1 CPU Power Consumption Monitor 140 280 420 560 700
High Performance Conjugate Gradient OpenBenchmarking.org GFLOP/s Per Watt, More Is Better High Performance Conjugate Gradient 3.1 EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0221 0.0442 0.0663 0.0884 0.1105 0.098 0.090 0.093 0.084
NAMD CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.1 237.1 282.8 EPYC 7763 2P 76.9 432.3 560.7 EPYC 7773X 34.8 232.9 279.7 EPYC 7773X 2P 73.7 439.6 565.6 OpenBenchmarking.org Watts, Fewer Is Better NAMD 2.14 CPU Power Consumption Monitor 140 280 420 560 700
GROMACS CPU Power Consumption Monitor Min Avg Max EPYC 7763 36.2 240.0 275.4 EPYC 7763 2P 76.6 458.8 563.8 EPYC 7773X 34.7 248.6 286.6 EPYC 7773X 2P 75.9 480.2 572.9 OpenBenchmarking.org Watts, Fewer Is Better GROMACS 2022.1 CPU Power Consumption Monitor 140 280 420 560 700
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day Per Watt, More Is Better GROMACS 2022.1 Implementation: MPI CPU - Input: water_GMX50_bare EPYC 7763 EPYC 7763 2P EPYC 7773X EPYC 7773X 2P 0.0065 0.013 0.0195 0.026 0.0325 0.024 0.022 0.029 0.023
GPAW CPU Power Consumption Monitor Min Avg Max EPYC 7763 35.9 220.9 264.6 EPYC 7763 2P 75.3 431.0 540.7 EPYC 7773X 33.7 242.7 284.9 EPYC 7773X 2P 73.1 469.6 569.8 OpenBenchmarking.org Watts, Fewer Is Better GPAW 22.1 CPU Power Consumption Monitor 140 280 420 560 700
Phoronix Test Suite v10.8.5