2 x AMD EPYC 7763 64-Core testing with a AMD DAYTONA_X (RYM1001D BIOS) and llvmpipe on Ubuntu 21.04 via the Phoronix Test Suite.
Compare your own system(s) to this result file with the
Phoronix Test Suite by running the command:
phoronix-test-suite benchmark 2106146-IB-2XEPYC77666 server-cpus-june-2021 - Phoronix Test Suite server-cpus-june-2021 2 x AMD EPYC 7763 64-Core testing with a AMD DAYTONA_X (RYM1001D BIOS) and llvmpipe on Ubuntu 21.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2106146-IB-2XEPYC77666 .
server-cpus-june-2021 Processor Motherboard Chipset Memory Disk Graphics Monitor Network OS Kernel Display Server OpenGL Vulkan Compiler File-System Screen Resolution 2 x EPYC 7763 2 x AMD EPYC 7763 64-Core @ 2.45GHz (128 Cores / 256 Threads) AMD DAYTONA_X (RYM1001D BIOS) AMD Starship/Matisse 504GB 7682GB INTEL SSDPF2KX076TZ llvmpipe VE228 2 x Mellanox MT27710 Ubuntu 21.04 5.13.0-051300rc4-generic (x86_64) 20210530 X Server 1.20.11 4.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits) 1.0.2 GCC 10.3.0 ext4 1920x1080 OpenBenchmarking.org - Transparent Huge Pages: madvise - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-gDeRY6/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001119 - Python 3.9.5 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
server-cpus-june-2021 npb: BT.C npb: CG.C npb: EP.C npb: EP.D npb: FT.C npb: IS.D npb: LU.C npb: MG.C npb: SP.B npb: SP.C minife: Small cloverleaf: Lagrangian-Eulerian Hydrodynamics rodinia: OpenMP LavaMD rodinia: OpenMP Leukocyte rodinia: OpenMP CFD Solver rodinia: OpenMP Streamcluster namd: ATPase Simulation - 327,506 Atoms toybrot: TBB toybrot: OpenMP toybrot: C++ Tasks toybrot: C++ Threads amg: pennant: sedovbig pennant: leblancbig nwchem: C240 Buckyball incompact3d: X3D-benchmarking input.i3d incompact3d: input.i3d 129 Cells Per Direction incompact3d: input.i3d 193 Cells Per Direction openfoam: Motorbike 30M openfoam: Motorbike 60M qe: AUSURF112 lammps: 20k Atoms lammps: Rhodopsin Protein lulesh: xmrig: Monero - 1M xmrig: Wownero - 1M john-the-ripper: Blowfish john-the-ripper: MD5 luxcorerender: DLSC - CPU luxcorerender: Danish Mood - CPU luxcorerender: Orange Juice - CPU luxcorerender: LuxCore Benchmark - CPU luxcorerender: Rainbow Colors and Prism - CPU graphics-magick: Swirl graphics-magick: Rotate graphics-magick: Sharpen graphics-magick: Enhanced graphics-magick: Noise-Gaussian graphics-magick: HWB Color Space dav1d: Summer Nature 4K dav1d: Chimera 1080p 10-bit ttsiod-renderer: Phong Rendering With Soft-Shadow Mapping embree: Pathtracer - Crown embree: Pathtracer ISPC - Crown embree: Pathtracer - Asian Dragon embree: Pathtracer - Asian Dragon Obj embree: Pathtracer ISPC - Asian Dragon embree: Pathtracer ISPC - Asian Dragon Obj kvazaar: Bosphorus 4K - Very Fast kvazaar: Bosphorus 4K - Ultra Fast svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-hevc: 1 - Bosphorus 1080p svt-hevc: 7 - Bosphorus 1080p svt-hevc: 10 - Bosphorus 1080p svt-vp9: VMAF Optimized - Bosphorus 1080p svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080p svt-vp9: Visual Quality Optimized - Bosphorus 1080p x265: Bosphorus 4K mt-dgemm: Sustained Floating-Point Rate oidn: RT.hdr_alb_nrm.3840x2160 oidn: RT.ldr_alb_nrm.3840x2160 oidn: RTLightmap.hdr.4096x4096 openvkl: vklBenchmark openvkl: vklBenchmarkVdbVolume openvkl: vklBenchmarkStructuredVolume coremark: CoreMark Size 666 - Iterations Per Second compress-7zip: Compress Speed Test stockfish: Total Time asmfish: 1024 Hash Memory, 26 Depth ebizzy: avifenc: 6, Lossless build-apache: Time To Compile build-ffmpeg: Time To Compile build-gdb: Time To Compile build-godot: Time To Compile build-imagemagick: Time To Compile build-linux-kernel: Time To Compile build-llvm: Ninja build-llvm: Unix Makefiles build-mesa: Time To Compile build-nodejs: Time To Compile build-php: Time To Compile build2: Time To Compile c-ray: Total Time - 4K, 16 Rays Per Pixel povray: Trace Time primesieve: 1e12 Prime Number Generation yafaray: Total Time For Sample Scene rays1bench: Large Scene onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU build-wasmer: Time To Compile helsing: 14 digit m-queens: Time To Solve tachyon: Total Time webp2: Quality 75, Compression Effort 7 webp2: Quality 95, Compression Effort 7 webp2: Quality 100, Compression Effort 5 webp2: Quality 100, Lossless Compression openssl: RSA 4096-bit Performance aircrack-ng: cpuminer-opt: Magi cpuminer-opt: x25x cpuminer-opt: Deepcoin cpuminer-opt: Blake-2 S cpuminer-opt: Garlicoin cpuminer-opt: Skeincoin cpuminer-opt: Myriad-Groestl cpuminer-opt: LBC, LBRY Credits liquid-dsp: 64 - 256 - 57 liquid-dsp: 128 - 256 - 57 liquid-dsp: 160 - 256 - 57 askap: tConvolve MT - Gridding askap: tConvolve MT - Degridding askap: tConvolve MPI - Degridding askap: tConvolve MPI - Gridding askap: tConvolve OpenMP - Gridding askap: tConvolve OpenMP - Degridding askap: Hogbom Clean OpenMP gromacs: MPI CPU - water_GMX50_bare tensorflow-lite: SqueezeNet 2 x EPYC 7763 257264.24 48175.52 9537.23 10736.77 120440.04 4460.84 288799.04 102771.23 149338.71 116234.76 26535.1 16.12 23.658 51.618 6.188 7.489 0.22456 3493 4327 3867 3679 1925458667 5.236554 3.342498 1837.9 297.669800 2.72297419 11.0900421 14.90 90.14 973.02 35.084 31.326 36927.235 56612.7 48176.0 183234 10763333 14.33 8.78 21.66 8.65 18.40 2306 569 884 1468 582 653 592.79 1143.60 527.530 110.7006 100.6551 71.5382 59.5284 67.6136 58.9391 55.43 59.08 5.068 62.101 55.17 337.87 596.09 460.25 459.91 352.07 24.82 38.139648 2.53 2.57 1.25 603 23015684 109870381 3236345.093404 498561 312230895 293793395 3113142 29.278 20.320 14.719 45.666 51.987 11.586 18.306 98.255 177.232 16.899 73.150 35.230 54.249 5.831 7.260 2.408 50.263 554.15 1.80828 4.72404 1.57048 1.06331 0.586135 26.6102 3.32461 0.848820 0.842258 0.730205 3330.40 1464.79 3319.37 1332.19 0.488456 3334.59 1385.48 0.706412 41.783 122.852 6.244 8.9889 121.684 227.807 6.963 388.760 28464.5 414388.802 6099.30 4336.28 112140 4077053 28680 1124649 238780 515733 3110633333 5830733333 5902333333 6000.31 10480.31 44990.1 47712.4 5171.51 5984.04 320.624 10.141 53389.4 OpenBenchmarking.org
NAS Parallel Benchmarks Test / Class: BT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: BT.C 2 x EPYC 7763 60K 120K 180K 240K 300K SE +/- 222.22, N = 4 257264.24 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
NAS Parallel Benchmarks Test / Class: CG.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C 2 x EPYC 7763 10K 20K 30K 40K 50K SE +/- 478.32, N = 6 48175.52 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
NAS Parallel Benchmarks Test / Class: EP.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C 2 x EPYC 7763 2K 4K 6K 8K 10K SE +/- 71.60, N = 15 9537.23 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
NAS Parallel Benchmarks Test / Class: EP.D OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D 2 x EPYC 7763 2K 4K 6K 8K 10K SE +/- 22.40, N = 4 10736.77 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
NAS Parallel Benchmarks Test / Class: FT.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C 2 x EPYC 7763 30K 60K 90K 120K 150K SE +/- 403.59, N = 6 120440.04 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
NAS Parallel Benchmarks Test / Class: IS.D OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D 2 x EPYC 7763 1000 2000 3000 4000 5000 SE +/- 25.73, N = 5 4460.84 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
NAS Parallel Benchmarks Test / Class: LU.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C 2 x EPYC 7763 60K 120K 180K 240K 300K SE +/- 807.48, N = 5 288799.04 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
NAS Parallel Benchmarks Test / Class: MG.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C 2 x EPYC 7763 20K 40K 60K 80K 100K SE +/- 385.78, N = 7 102771.23 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
NAS Parallel Benchmarks Test / Class: SP.B OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.B 2 x EPYC 7763 30K 60K 90K 120K 150K SE +/- 1012.24, N = 7 149338.71 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
NAS Parallel Benchmarks Test / Class: SP.C OpenBenchmarking.org Total Mop/s, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: SP.C 2 x EPYC 7763 20K 40K 60K 80K 100K SE +/- 481.83, N = 4 116234.76 1. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz 2. Open MPI 4.1.0
miniFE Problem Size: Small OpenBenchmarking.org CG Mflops, More Is Better miniFE 2.2 Problem Size: Small 2 x EPYC 7763 6K 12K 18K 24K 30K SE +/- 245.68, N = 4 26535.1 1. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
CloverLeaf Lagrangian-Eulerian Hydrodynamics OpenBenchmarking.org Seconds, Fewer Is Better CloverLeaf Lagrangian-Eulerian Hydrodynamics 2 x EPYC 7763 4 8 12 16 20 SE +/- 0.42, N = 15 16.12 1. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
Rodinia Test: OpenMP LavaMD OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD 2 x EPYC 7763 6 12 18 24 30 SE +/- 0.13, N = 3 23.66 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP Leukocyte OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte 2 x EPYC 7763 12 24 36 48 60 SE +/- 0.40, N = 3 51.62 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP CFD Solver OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver 2 x EPYC 7763 2 4 6 8 10 SE +/- 0.018, N = 7 6.188 1. (CXX) g++ options: -O2 -lOpenCL
Rodinia Test: OpenMP Streamcluster OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster 2 x EPYC 7763 2 4 6 8 10 SE +/- 0.116, N = 15 7.489 1. (CXX) g++ options: -O2 -lOpenCL
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms 2 x EPYC 7763 0.0505 0.101 0.1515 0.202 0.2525 SE +/- 0.00164, N = 4 0.22456
toyBrot Fractal Generator Implementation: TBB OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: TBB 2 x EPYC 7763 700 1400 2100 2800 3500 SE +/- 28.86, N = 9 3493 1. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
toyBrot Fractal Generator Implementation: OpenMP OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: OpenMP 2 x EPYC 7763 900 1800 2700 3600 4500 SE +/- 37.08, N = 15 4327 1. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
toyBrot Fractal Generator Implementation: C++ Tasks OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: C++ Tasks 2 x EPYC 7763 800 1600 2400 3200 4000 SE +/- 19.33, N = 8 3867 1. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
toyBrot Fractal Generator Implementation: C++ Threads OpenBenchmarking.org ms, Fewer Is Better toyBrot Fractal Generator 2020-11-18 Implementation: C++ Threads 2 x EPYC 7763 800 1600 2400 3200 4000 SE +/- 17.86, N = 9 3679 1. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc
Algebraic Multi-Grid Benchmark OpenBenchmarking.org Figure Of Merit, More Is Better Algebraic Multi-Grid Benchmark 1.2 2 x EPYC 7763 400M 800M 1200M 1600M 2000M SE +/- 1375840.15, N = 3 1925458667 1. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
Pennant Test: sedovbig OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: sedovbig 2 x EPYC 7763 1.1782 2.3564 3.5346 4.7128 5.891 SE +/- 0.035443, N = 5 5.236554 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
Pennant Test: leblancbig OpenBenchmarking.org Hydro Cycle Time - Seconds, Fewer Is Better Pennant 1.0.1 Test: leblancbig 2 x EPYC 7763 0.7521 1.5042 2.2563 3.0084 3.7605 SE +/- 0.062888, N = 15 3.342498 1. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
NWChem Input: C240 Buckyball OpenBenchmarking.org Seconds, Fewer Is Better NWChem 7.0.2 Input: C240 Buckyball 2 x EPYC 7763 400 800 1200 1600 2000 1837.9 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 -ldl -levent_core -levent_pthreads -lutil -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
Xcompact3d Incompact3d Input: X3D-benchmarking input.i3d OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: X3D-benchmarking input.i3d 2 x EPYC 7763 60 120 180 240 300 SE +/- 0.12, N = 3 297.67 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
Xcompact3d Incompact3d Input: input.i3d 129 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 129 Cells Per Direction 2 x EPYC 7763 0.6127 1.2254 1.8381 2.4508 3.0635 SE +/- 0.05008949, N = 15 2.72297419 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
Xcompact3d Incompact3d Input: input.i3d 193 Cells Per Direction OpenBenchmarking.org Seconds, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 Input: input.i3d 193 Cells Per Direction 2 x EPYC 7763 3 6 9 12 15 SE +/- 0.02, N = 4 11.09 1. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
OpenFOAM Input: Motorbike 30M OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 8 Input: Motorbike 30M 2 x EPYC 7763 4 8 12 16 20 SE +/- 0.10, N = 3 14.90 1. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
OpenFOAM Input: Motorbike 60M OpenBenchmarking.org Seconds, Fewer Is Better OpenFOAM 8 Input: Motorbike 60M 2 x EPYC 7763 20 40 60 80 100 SE +/- 0.25, N = 3 90.14 1. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
Quantum ESPRESSO Input: AUSURF112 OpenBenchmarking.org Seconds, Fewer Is Better Quantum ESPRESSO 6.7 Input: AUSURF112 2 x EPYC 7763 200 400 600 800 1000 SE +/- 6.05, N = 3 973.02 1. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent_core -levent_pthreads -lutil -lm -lrt -lz
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms 2 x EPYC 7763 8 16 24 32 40 SE +/- 0.03, N = 3 35.08 1. (CXX) g++ options: -O3 -pthread -lm
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein 2 x EPYC 7763 7 14 21 28 35 SE +/- 0.38, N = 15 31.33 1. (CXX) g++ options: -O3 -pthread -lm
LULESH OpenBenchmarking.org z/s, More Is Better LULESH 2.0.3 2 x EPYC 7763 8K 16K 24K 32K 40K SE +/- 316.92, N = 3 36927.24 1. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
Xmrig Variant: Monero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.12.1 Variant: Monero - Hash Count: 1M 2 x EPYC 7763 12K 24K 36K 48K 60K SE +/- 101.74, N = 3 56612.7 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.12.1 Variant: Wownero - Hash Count: 1M 2 x EPYC 7763 10K 20K 30K 40K 50K SE +/- 160.51, N = 3 48176.0 1. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
John The Ripper Test: Blowfish OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish 2 x EPYC 7763 40K 80K 120K 160K 200K SE +/- 2546.43, N = 3 183234 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
John The Ripper Test: MD5 OpenBenchmarking.org Real C/S, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 2 x EPYC 7763 2M 4M 6M 8M 10M SE +/- 109447.60, N = 3 10763333 1. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
LuxCoreRender Scene: DLSC - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: DLSC - Acceleration: CPU 2 x EPYC 7763 4 8 12 16 20 SE +/- 0.33, N = 15 14.33 MIN: 11.8 / MAX: 18.81
LuxCoreRender Scene: Danish Mood - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: Danish Mood - Acceleration: CPU 2 x EPYC 7763 2 4 6 8 10 SE +/- 0.13, N = 15 8.78 MIN: 3.1 / MAX: 11.67
LuxCoreRender Scene: Orange Juice - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: Orange Juice - Acceleration: CPU 2 x EPYC 7763 5 10 15 20 25 SE +/- 0.28, N = 15 21.66 MIN: 17.86 / MAX: 29.24
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: LuxCore Benchmark - Acceleration: CPU 2 x EPYC 7763 2 4 6 8 10 SE +/- 0.11, N = 15 8.65 MIN: 2.95 / MAX: 11.34
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: CPU OpenBenchmarking.org M samples/sec, More Is Better LuxCoreRender 2.5 Scene: Rainbow Colors and Prism - Acceleration: CPU 2 x EPYC 7763 5 10 15 20 25 SE +/- 0.90, N = 15 18.40 MIN: 14.52 / MAX: 25.25
GraphicsMagick Operation: Swirl OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Swirl 2 x EPYC 7763 500 1000 1500 2000 2500 SE +/- 14.11, N = 3 2306 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: Rotate OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Rotate 2 x EPYC 7763 120 240 360 480 600 SE +/- 0.88, N = 3 569 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Sharpen 2 x EPYC 7763 200 400 600 800 1000 SE +/- 0.88, N = 3 884 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced 2 x EPYC 7763 300 600 900 1200 1500 SE +/- 4.26, N = 3 1468 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: Noise-Gaussian OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian 2 x EPYC 7763 130 260 390 520 650 SE +/- 1.53, N = 3 582 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
GraphicsMagick Operation: HWB Color Space OpenBenchmarking.org Iterations Per Minute, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space 2 x EPYC 7763 140 280 420 560 700 SE +/- 4.51, N = 3 653 1. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
dav1d Video Input: Summer Nature 4K OpenBenchmarking.org FPS, More Is Better dav1d 0.9.0 Video Input: Summer Nature 4K 2 x EPYC 7763 130 260 390 520 650 SE +/- 6.89, N = 3 592.79 MIN: 129.05 / MAX: 711.81 1. (CC) gcc options: -pthread -lm
dav1d Video Input: Chimera 1080p 10-bit OpenBenchmarking.org FPS, More Is Better dav1d 0.9.0 Video Input: Chimera 1080p 10-bit 2 x EPYC 7763 200 400 600 800 1000 SE +/- 1.69, N = 3 1143.60 MIN: 481.57 / MAX: 1388.52 1. (CC) gcc options: -pthread -lm
TTSIOD 3D Renderer Phong Rendering With Soft-Shadow Mapping OpenBenchmarking.org FPS, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping 2 x EPYC 7763 110 220 330 440 550 SE +/- 11.48, N = 15 527.53 1. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer - Model: Crown 2 x EPYC 7763 20 40 60 80 100 SE +/- 0.11, N = 6 110.70 MIN: 99.55 / MAX: 124.02
Embree Binary: Pathtracer ISPC - Model: Crown OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Crown 2 x EPYC 7763 20 40 60 80 100 SE +/- 0.10, N = 6 100.66 MIN: 92.79 / MAX: 113.68
Embree Binary: Pathtracer - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer - Model: Asian Dragon 2 x EPYC 7763 16 32 48 64 80 SE +/- 0.50, N = 15 71.54 MIN: 64.78 / MAX: 78.4
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer - Model: Asian Dragon Obj 2 x EPYC 7763 13 26 39 52 65 SE +/- 0.14, N = 3 59.53 MIN: 56.12 / MAX: 66.22
Embree Binary: Pathtracer ISPC - Model: Asian Dragon OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon 2 x EPYC 7763 15 30 45 60 75 SE +/- 0.62, N = 15 67.61 MIN: 60.91 / MAX: 74.47
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon Obj 2 x EPYC 7763 13 26 39 52 65 SE +/- 0.40, N = 15 58.94 MIN: 53.57 / MAX: 65.84
Kvazaar Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast 2 x EPYC 7763 12 24 36 48 60 SE +/- 0.43, N = 5 55.43 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
Kvazaar Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast 2 x EPYC 7763 13 26 39 52 65 SE +/- 0.34, N = 5 59.08 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K 2 x EPYC 7763 1.1403 2.2806 3.4209 4.5612 5.7015 SE +/- 0.019, N = 3 5.068 1. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 0.8.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K 2 x EPYC 7763 14 28 42 56 70 SE +/- 0.41, N = 15 62.10 1. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie
SVT-HEVC Tuning: 1 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p 2 x EPYC 7763 12 24 36 48 60 SE +/- 0.40, N = 15 55.17 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-HEVC Tuning: 7 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p 2 x EPYC 7763 70 140 210 280 350 SE +/- 2.19, N = 10 337.87 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-HEVC Tuning: 10 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p 2 x EPYC 7763 130 260 390 520 650 SE +/- 3.93, N = 11 596.09 1. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
SVT-VP9 Tuning: VMAF Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p 2 x EPYC 7763 100 200 300 400 500 SE +/- 5.37, N = 15 460.25 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SVT-VP9 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p 2 x EPYC 7763 100 200 300 400 500 SE +/- 2.47, N = 9 459.91 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
SVT-VP9 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p 2 x EPYC 7763 80 160 240 320 400 SE +/- 0.89, N = 8 352.07 1. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better x265 3.4 Video Input: Bosphorus 4K 2 x EPYC 7763 6 12 18 24 30 SE +/- 0.21, N = 15 24.82 1. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate 2 x EPYC 7763 9 18 27 36 45 SE +/- 0.28, N = 15 38.14 1. (CC) gcc options: -O3 -march=native -fopenmp
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.4.0 Run: RT.hdr_alb_nrm.3840x2160 2 x EPYC 7763 0.5693 1.1386 1.7079 2.2772 2.8465 SE +/- 0.01, N = 4 2.53
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.4.0 Run: RT.ldr_alb_nrm.3840x2160 2 x EPYC 7763 0.5783 1.1566 1.7349 2.3132 2.8915 SE +/- 0.01, N = 4 2.57
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 OpenBenchmarking.org Images / Sec, More Is Better Intel Open Image Denoise 1.4.0 Run: RTLightmap.hdr.4096x4096 2 x EPYC 7763 0.2813 0.5626 0.8439 1.1252 1.4065 SE +/- 0.00, N = 3 1.25
OpenVKL Benchmark: vklBenchmark OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark 2 x EPYC 7763 130 260 390 520 650 SE +/- 6.72, N = 4 603 MIN: 1 / MAX: 1751
OpenVKL Benchmark: vklBenchmarkVdbVolume OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkVdbVolume 2 x EPYC 7763 5M 10M 15M 20M 25M SE +/- 140542.44, N = 3 23015684 MIN: 826242 / MAX: 134439120
OpenVKL Benchmark: vklBenchmarkStructuredVolume OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume 2 x EPYC 7763 20M 40M 60M 80M 100M SE +/- 857112.13, N = 3 109870381 MIN: 940807 / MAX: 1183908672
Coremark CoreMark Size 666 - Iterations Per Second OpenBenchmarking.org Iterations/Sec, More Is Better Coremark 1.0 CoreMark Size 666 - Iterations Per Second 2 x EPYC 7763 700K 1400K 2100K 2800K 3500K SE +/- 43082.17, N = 3 3236345.09 1. (CC) gcc options: -O2 -lrt" -lrt
7-Zip Compression Compress Speed Test OpenBenchmarking.org MIPS, More Is Better 7-Zip Compression 16.02 Compress Speed Test 2 x EPYC 7763 110K 220K 330K 440K 550K SE +/- 3107.07, N = 15 498561 1. (CXX) g++ options: -pipe -lpthread
Stockfish Total Time OpenBenchmarking.org Nodes Per Second, More Is Better Stockfish 13 Total Time 2 x EPYC 7763 70M 140M 210M 280M 350M SE +/- 623832.94, N = 3 312230895 1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fprofile-use -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
asmFish 1024 Hash Memory, 26 Depth OpenBenchmarking.org Nodes/second, More Is Better asmFish 2018-07-23 1024 Hash Memory, 26 Depth 2 x EPYC 7763 60M 120M 180M 240M 300M SE +/- 2669339.16, N = 7 293793395
ebizzy OpenBenchmarking.org Records/s, More Is Better ebizzy 0.3 2 x EPYC 7763 700K 1400K 2100K 2800K 3500K SE +/- 33675.96, N = 5 3113142 1. (CC) gcc options: -pthread -lpthread -O3 -march=native
libavif avifenc Encoder Speed: 6, Lossless OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.9.0 Encoder Speed: 6, Lossless 2 x EPYC 7763 7 14 21 28 35 SE +/- 0.01, N = 3 29.28 1. (CXX) g++ options: -O3 -fPIC -lm
Timed Apache Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile 2 x EPYC 7763 5 10 15 20 25 SE +/- 0.01, N = 3 20.32
Timed FFmpeg Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed FFmpeg Compilation 4.4 Time To Compile 2 x EPYC 7763 4 8 12 16 20 SE +/- 0.04, N = 4 14.72
Timed GDB GNU Debugger Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed GDB GNU Debugger Compilation 10.2 Time To Compile 2 x EPYC 7763 10 20 30 40 50 SE +/- 0.29, N = 3 45.67
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 2 x EPYC 7763 12 24 36 48 60 SE +/- 0.41, N = 3 51.99
Timed ImageMagick Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed ImageMagick Compilation 6.9.0 Time To Compile 2 x EPYC 7763 3 6 9 12 15 SE +/- 0.04, N = 4 11.59
Timed Linux Kernel Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.10.20 Time To Compile 2 x EPYC 7763 5 10 15 20 25 SE +/- 0.14, N = 12 18.31
Timed LLVM Compilation Build System: Ninja OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 12.0 Build System: Ninja 2 x EPYC 7763 20 40 60 80 100 SE +/- 0.49, N = 3 98.26
Timed LLVM Compilation Build System: Unix Makefiles OpenBenchmarking.org Seconds, Fewer Is Better Timed LLVM Compilation 12.0 Build System: Unix Makefiles 2 x EPYC 7763 40 80 120 160 200 SE +/- 0.57, N = 3 177.23
Timed Mesa Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Mesa Compilation 21.0 Time To Compile 2 x EPYC 7763 4 8 12 16 20 SE +/- 0.03, N = 3 16.90
Timed Node.js Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Node.js Compilation 15.11 Time To Compile 2 x EPYC 7763 16 32 48 64 80 SE +/- 0.30, N = 3 73.15
Timed PHP Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed PHP Compilation 7.4.2 Time To Compile 2 x EPYC 7763 8 16 24 32 40 SE +/- 0.13, N = 3 35.23
Build2 Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Build2 0.13 Time To Compile 2 x EPYC 7763 12 24 36 48 60 SE +/- 0.09, N = 3 54.25
C-Ray Total Time - 4K, 16 Rays Per Pixel OpenBenchmarking.org Seconds, Fewer Is Better C-Ray 1.1 Total Time - 4K, 16 Rays Per Pixel 2 x EPYC 7763 1.312 2.624 3.936 5.248 6.56 SE +/- 0.037, N = 7 5.831 1. (CC) gcc options: -lm -lpthread -O3
POV-Ray Trace Time OpenBenchmarking.org Seconds, Fewer Is Better POV-Ray 3.7.0.7 Trace Time 2 x EPYC 7763 2 4 6 8 10 SE +/- 0.038, N = 5 7.260 1. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lIlmImf-2_5 -lImath-2_5 -lHalf-2_5 -lIex-2_5 -lIexMath-2_5 -lIlmThread-2_5 -lIlmThread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
Primesieve 1e12 Prime Number Generation OpenBenchmarking.org Seconds, Fewer Is Better Primesieve 7.4 1e12 Prime Number Generation 2 x EPYC 7763 0.5418 1.0836 1.6254 2.1672 2.709 SE +/- 0.005, N = 10 2.408 1. (CXX) g++ options: -O3 -lpthread
YafaRay Total Time For Sample Scene OpenBenchmarking.org Seconds, Fewer Is Better YafaRay 3.4.1 Total Time For Sample Scene 2 x EPYC 7763 11 22 33 44 55 SE +/- 0.39, N = 15 50.26 1. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
rays1bench Large Scene OpenBenchmarking.org mrays/s, More Is Better rays1bench 2020-01-09 Large Scene 2 x EPYC 7763 120 240 360 480 600 SE +/- 0.90, N = 9 554.15
oneDNN Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU 2 x EPYC 7763 0.4069 0.8138 1.2207 1.6276 2.0345 SE +/- 0.00936, N = 4 1.80828 MIN: 1.6 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU 2 x EPYC 7763 1.0629 2.1258 3.1887 4.2516 5.3145 SE +/- 0.02745, N = 5 4.72404 MIN: 3.95 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU 2 x EPYC 7763 0.3534 0.7068 1.0602 1.4136 1.767 SE +/- 0.00915, N = 4 1.57048 MIN: 1.29 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU 2 x EPYC 7763 0.2392 0.4784 0.7176 0.9568 1.196 SE +/- 0.00834, N = 5 1.06331 MIN: 0.88 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU 2 x EPYC 7763 0.1319 0.2638 0.3957 0.5276 0.6595 SE +/- 0.004578, N = 7 0.586135 MIN: 0.52 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU 2 x EPYC 7763 6 12 18 24 30 SE +/- 0.34, N = 3 26.61 MIN: 18.33 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU 2 x EPYC 7763 0.748 1.496 2.244 2.992 3.74 SE +/- 0.02376, N = 9 3.32461 MIN: 2.13 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU 2 x EPYC 7763 0.191 0.382 0.573 0.764 0.955 SE +/- 0.037340, N = 15 0.848820 MIN: 0.41 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU 2 x EPYC 7763 0.1895 0.379 0.5685 0.758 0.9475 SE +/- 0.006220, N = 15 0.842258 MIN: 0.75 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU 2 x EPYC 7763 0.1643 0.3286 0.4929 0.6572 0.8215 SE +/- 0.012353, N = 15 0.730205 MIN: 0.52 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU 2 x EPYC 7763 700 1400 2100 2800 3500 SE +/- 12.03, N = 3 3330.40 MIN: 3097.07 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU 2 x EPYC 7763 300 600 900 1200 1500 SE +/- 108.05, N = 12 1464.79 MIN: 1046.77 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU 2 x EPYC 7763 700 1400 2100 2800 3500 SE +/- 22.25, N = 3 3319.37 MIN: 3090.92 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU 2 x EPYC 7763 300 600 900 1200 1500 SE +/- 25.48, N = 15 1332.19 MIN: 1053.76 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU 2 x EPYC 7763 0.1099 0.2198 0.3297 0.4396 0.5495 SE +/- 0.003185, N = 15 0.488456 MIN: 0.42 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU 2 x EPYC 7763 700 1400 2100 2800 3500 SE +/- 34.08, N = 3 3334.59 MIN: 3036.36 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU 2 x EPYC 7763 300 600 900 1200 1500 SE +/- 26.52, N = 15 1385.48 MIN: 1048.29 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 2.1.2 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU 2 x EPYC 7763 0.1589 0.3178 0.4767 0.6356 0.7945 SE +/- 0.008059, N = 4 0.706412 MIN: 0.61 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Timed Wasmer Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Wasmer Compilation 1.0.2 Time To Compile 2 x EPYC 7763 10 20 30 40 50 SE +/- 0.27, N = 3 41.78 1. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc
Helsing Digit Range: 14 digit OpenBenchmarking.org Seconds, Fewer Is Better Helsing 1.0-beta Digit Range: 14 digit 2 x EPYC 7763 30 60 90 120 150 SE +/- 9.54, N = 12 122.85 1. (CC) gcc options: -O2 -pthread
m-queens Time To Solve OpenBenchmarking.org Seconds, Fewer Is Better m-queens 1.2 Time To Solve 2 x EPYC 7763 2 4 6 8 10 SE +/- 0.011, N = 7 6.244 1. (CXX) g++ options: -fopenmp -O2 -march=native
Tachyon Total Time OpenBenchmarking.org Seconds, Fewer Is Better Tachyon 0.99b6 Total Time 2 x EPYC 7763 3 6 9 12 15 SE +/- 0.0972, N = 15 8.9889 1. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
WebP2 Image Encode Encode Settings: Quality 75, Compression Effort 7 OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 75, Compression Effort 7 2 x EPYC 7763 30 60 90 120 150 SE +/- 0.53, N = 3 121.68 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
WebP2 Image Encode Encode Settings: Quality 95, Compression Effort 7 OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 95, Compression Effort 7 2 x EPYC 7763 50 100 150 200 250 SE +/- 0.85, N = 3 227.81 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
WebP2 Image Encode Encode Settings: Quality 100, Compression Effort 5 OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 100, Compression Effort 5 2 x EPYC 7763 2 4 6 8 10 SE +/- 0.014, N = 6 6.963 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
WebP2 Image Encode Encode Settings: Quality 100, Lossless Compression OpenBenchmarking.org Seconds, Fewer Is Better WebP2 Image Encode 20210126 Encode Settings: Quality 100, Lossless Compression 2 x EPYC 7763 80 160 240 320 400 SE +/- 0.24, N = 3 388.76 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
OpenSSL RSA 4096-bit Performance OpenBenchmarking.org Signs Per Second, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance 2 x EPYC 7763 6K 12K 18K 24K 30K SE +/- 0.99, N = 3 28464.5 1. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
Aircrack-ng OpenBenchmarking.org k/s, More Is Better Aircrack-ng 1.5.2 2 x EPYC 7763 90K 180K 270K 360K 450K SE +/- 159.71, N = 3 414388.80 1. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
Cpuminer-Opt Algorithm: Magi OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Magi 2 x EPYC 7763 1300 2600 3900 5200 6500 SE +/- 52.03, N = 13 6099.30 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: x25x OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: x25x 2 x EPYC 7763 900 1800 2700 3600 4500 SE +/- 51.41, N = 4 4336.28 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Deepcoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Deepcoin 2 x EPYC 7763 20K 40K 60K 80K 100K SE +/- 1493.99, N = 12 112140 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Blake-2 S OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Blake-2 S 2 x EPYC 7763 900K 1800K 2700K 3600K 4500K SE +/- 213346.66, N = 15 4077053 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Garlicoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Garlicoin 2 x EPYC 7763 6K 12K 18K 24K 30K SE +/- 116.76, N = 3 28680 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Skeincoin OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Skeincoin 2 x EPYC 7763 200K 400K 600K 800K 1000K SE +/- 17000.09, N = 15 1124649 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: Myriad-Groestl OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Myriad-Groestl 2 x EPYC 7763 50K 100K 150K 200K 250K SE +/- 53782.51, N = 12 238780 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
Cpuminer-Opt Algorithm: LBC, LBRY Credits OpenBenchmarking.org kH/s, More Is Better Cpuminer-Opt 3.15.5 Algorithm: LBC, LBRY Credits 2 x EPYC 7763 110K 220K 330K 440K 550K SE +/- 6048.06, N = 3 515733 1. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
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 2 x EPYC 7763 700M 1400M 2100M 2800M 3500M SE +/- 4437842.32, N = 3 3110633333 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 128 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 128 - Buffer Length: 256 - Filter Length: 57 2 x EPYC 7763 1200M 2400M 3600M 4800M 6000M SE +/- 3169822.99, N = 3 5830733333 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
Liquid-DSP Threads: 160 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s, More Is Better Liquid-DSP 2021.01.31 Threads: 160 - Buffer Length: 256 - Filter Length: 57 2 x EPYC 7763 1300M 2600M 3900M 5200M 6500M SE +/- 3371613.53, N = 3 5902333333 1. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
ASKAP Test: tConvolve MT - Gridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Gridding 2 x EPYC 7763 1300 2600 3900 5200 6500 SE +/- 2.16, N = 3 6000.31 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve MT - Degridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve MT - Degridding 2 x EPYC 7763 2K 4K 6K 8K 10K SE +/- 390.12, N = 3 10480.31 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve MPI - Degridding OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Degridding 2 x EPYC 7763 10K 20K 30K 40K 50K SE +/- 423.01, N = 3 44990.1 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve MPI - Gridding OpenBenchmarking.org Mpix/sec, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding 2 x EPYC 7763 10K 20K 30K 40K 50K SE +/- 313.07, N = 3 47712.4 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve OpenMP - Gridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Gridding 2 x EPYC 7763 1100 2200 3300 4400 5500 SE +/- 51.20, N = 4 5171.51 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: tConvolve OpenMP - Degridding OpenBenchmarking.org Million Grid Points Per Second, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding 2 x EPYC 7763 1300 2600 3900 5200 6500 SE +/- 38.82, N = 4 5984.04 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
ASKAP Test: Hogbom Clean OpenMP OpenBenchmarking.org Iterations Per Second, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP 2 x EPYC 7763 70 140 210 280 350 SE +/- 3.47, N = 4 320.62 1. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2021.2 Implementation: MPI CPU - Input: water_GMX50_bare 2 x EPYC 7763 3 6 9 12 15 SE +/- 0.07, N = 3 10.14 1. (CXX) g++ options: -O3 -pthread
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet 2 x EPYC 7763 11K 22K 33K 44K 55K SE +/- 1660.91, N = 12 53389.4
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 2 x EPYC 7763 140 280 420 560 700 670.35
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 79.7 383.8 541.2 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: CG.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: CG.C 2 x EPYC 7763 40 80 120 160 200 187.33
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 257.2 474.0 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: EP.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.C 2 x EPYC 7763 10 20 30 40 50 44.21
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.7 215.7 482.5 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
NAS Parallel Benchmarks Test / Class: EP.D OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: EP.D 2 x EPYC 7763 6 12 18 24 30 27.38
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.6 392.2 521.9 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: FT.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: FT.C 2 x EPYC 7763 90 180 270 360 450 421.74
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.4 285.6 515.9 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: IS.D OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: IS.D 2 x EPYC 7763 4 8 12 16 20 14.19
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 314.5 521.1 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: LU.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: LU.C 2 x EPYC 7763 200 400 600 800 1000 842.20
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.7 342.9 525.9 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: MG.C OpenBenchmarking.org Total Mop/s Per Watt, More Is Better NAS Parallel Benchmarks 3.4 Test / Class: MG.C 2 x EPYC 7763 100 200 300 400 500 457.92
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.3 224.4 439.8 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 120 240 360 480 600
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 2 x EPYC 7763 120 240 360 480 600 560.65
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 266.4 543.7 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 2 x EPYC 7763 70 140 210 280 350 306.24
NAS Parallel Benchmarks CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 379.6 503.4 OpenBenchmarking.org Watts, Fewer Is Better NAS Parallel Benchmarks 3.4 CPU Power Consumption Monitor 130 260 390 520 650
miniFE Problem Size: Small OpenBenchmarking.org CG Mflops Per Watt, More Is Better miniFE 2.2 Problem Size: Small 2 x EPYC 7763 20 40 60 80 100 98.00
miniFE CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 270.8 422.0 OpenBenchmarking.org Watts, Fewer Is Better miniFE 2.2 CPU Power Consumption Monitor 110 220 330 440 550
CloverLeaf CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.2 330.6 406.6 OpenBenchmarking.org Watts, Fewer Is Better CloverLeaf CPU Power Consumption Monitor 110 220 330 440 550
Rodinia CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.2 395.2 538.1 OpenBenchmarking.org Watts, Fewer Is Better Rodinia 3.1 CPU Power Consumption Monitor 140 280 420 560 700
Rodinia CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.9 254.2 283.5 OpenBenchmarking.org Watts, Fewer Is Better Rodinia 3.1 CPU Power Consumption Monitor 70 140 210 280 350
Rodinia CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.1 241.5 412.8 OpenBenchmarking.org Watts, Fewer Is Better Rodinia 3.1 CPU Power Consumption Monitor 110 220 330 440 550
Rodinia CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 219.6 335.5 OpenBenchmarking.org Watts, Fewer Is Better Rodinia 3.1 CPU Power Consumption Monitor 80 160 240 320 400
NAMD CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 438.4 560.9 OpenBenchmarking.org Watts, Fewer Is Better NAMD 2.14 CPU Power Consumption Monitor 140 280 420 560 700
toyBrot Fractal Generator CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 296.6 565.7 OpenBenchmarking.org Watts, Fewer Is Better toyBrot Fractal Generator 2020-11-18 CPU Power Consumption Monitor 140 280 420 560 700
toyBrot Fractal Generator CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.3 293.6 568.7 OpenBenchmarking.org Watts, Fewer Is Better toyBrot Fractal Generator 2020-11-18 CPU Power Consumption Monitor 140 280 420 560 700
toyBrot Fractal Generator CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.5 293.2 564.1 OpenBenchmarking.org Watts, Fewer Is Better toyBrot Fractal Generator 2020-11-18 CPU Power Consumption Monitor 140 280 420 560 700
toyBrot Fractal Generator CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.9 295.5 562.8 OpenBenchmarking.org Watts, Fewer Is Better toyBrot Fractal Generator 2020-11-18 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 2 x EPYC 7763 1.1M 2.2M 3.3M 4.4M 5.5M 5036688.65
Algebraic Multi-Grid Benchmark CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 382.3 488.8 OpenBenchmarking.org Watts, Fewer Is Better Algebraic Multi-Grid Benchmark 1.2 CPU Power Consumption Monitor 130 260 390 520 650
Pennant CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 310.2 513.6 OpenBenchmarking.org Watts, Fewer Is Better Pennant 1.0.1 CPU Power Consumption Monitor 130 260 390 520 650
Pennant CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 285.2 542.5 OpenBenchmarking.org Watts, Fewer Is Better Pennant 1.0.1 CPU Power Consumption Monitor 140 280 420 560 700
NWChem CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better NWChem 7.0.2 CPU Power Consumption Monitor 2 x EPYC 7763 100 200 300 400 500 Min: 83.05 / Avg: 453.84 / Max: 553.99
Xcompact3d Incompact3d CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.4 455.7 495.3 OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor 130 260 390 520 650
Xcompact3d Incompact3d CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.4 258.4 471.5 OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor 120 240 360 480 600
Xcompact3d Incompact3d CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.1 346.6 466.9 OpenBenchmarking.org Watts, Fewer Is Better Xcompact3d Incompact3d 2021-03-11 CPU Power Consumption Monitor 120 240 360 480 600
OpenFOAM CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 316.0 525.7 OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 8 CPU Power Consumption Monitor 130 260 390 520 650
OpenFOAM CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.6 324.4 465.3 OpenBenchmarking.org Watts, Fewer Is Better OpenFOAM 8 CPU Power Consumption Monitor 120 240 360 480 600
Quantum ESPRESSO CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Quantum ESPRESSO 6.7 CPU Power Consumption Monitor 2 x EPYC 7763 100 200 300 400 500 Min: 82.2 / Avg: 321.72 / Max: 538.01
LAMMPS Molecular Dynamics Simulator Model: 20k Atoms OpenBenchmarking.org ns/day Per Watt, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms 2 x EPYC 7763 0.0162 0.0324 0.0486 0.0648 0.081 0.072
LAMMPS Molecular Dynamics Simulator CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.7 485.8 505.0 OpenBenchmarking.org Watts, Fewer Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 CPU Power Consumption Monitor 130 260 390 520 650
LAMMPS Molecular Dynamics Simulator Model: Rhodopsin Protein OpenBenchmarking.org ns/day Per Watt, More Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein 2 x EPYC 7763 0.0333 0.0666 0.0999 0.1332 0.1665 0.148
LAMMPS Molecular Dynamics Simulator CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 211.3 443.5 OpenBenchmarking.org Watts, Fewer Is Better LAMMPS Molecular Dynamics Simulator 29Oct2020 CPU Power Consumption Monitor 120 240 360 480 600
LULESH OpenBenchmarking.org z/s Per Watt, More Is Better LULESH 2.0.3 2 x EPYC 7763 20 40 60 80 100 103.14
LULESH CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.4 358.0 529.1 OpenBenchmarking.org Watts, Fewer Is Better LULESH 2.0.3 CPU Power Consumption Monitor 130 260 390 520 650
Xmrig Variant: Monero - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.12.1 Variant: Monero - Hash Count: 1M 2 x EPYC 7763 30 60 90 120 150 124.54
Xmrig CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.3 454.6 568.3 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.12.1 CPU Power Consumption Monitor 140 280 420 560 700
Xmrig Variant: Wownero - Hash Count: 1M OpenBenchmarking.org H/s Per Watt, More Is Better Xmrig 6.12.1 Variant: Wownero - Hash Count: 1M 2 x EPYC 7763 20 40 60 80 100 108.21
Xmrig CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 445.2 541.0 OpenBenchmarking.org Watts, Fewer Is Better Xmrig 6.12.1 CPU Power Consumption Monitor 140 280 420 560 700
John The Ripper Test: Blowfish OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 1.9.0-jumbo-1 Test: Blowfish 2 x EPYC 7763 80 160 240 320 400 379.49
John The Ripper CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.9 482.8 554.4 OpenBenchmarking.org Watts, Fewer Is Better John The Ripper 1.9.0-jumbo-1 CPU Power Consumption Monitor 140 280 420 560 700
John The Ripper Test: MD5 OpenBenchmarking.org Real C/S Per Watt, More Is Better John The Ripper 1.9.0-jumbo-1 Test: MD5 2 x EPYC 7763 5K 10K 15K 20K 25K 22207.25
John The Ripper CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.7 484.7 545.0 OpenBenchmarking.org Watts, Fewer Is Better John The Ripper 1.9.0-jumbo-1 CPU Power Consumption Monitor 140 280 420 560 700
LuxCoreRender Scene: DLSC - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.5 Scene: DLSC - Acceleration: CPU 2 x EPYC 7763 0.0063 0.0126 0.0189 0.0252 0.0315 0.028
LuxCoreRender CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.6 507.1 570.4 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 CPU Power Consumption Monitor 140 280 420 560 700
LuxCoreRender Scene: Danish Mood - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.5 Scene: Danish Mood - Acceleration: CPU 2 x EPYC 7763 0.0043 0.0086 0.0129 0.0172 0.0215 0.019
LuxCoreRender CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.9 465.1 554.8 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 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 2.5 Scene: Orange Juice - Acceleration: CPU 2 x EPYC 7763 0.0097 0.0194 0.0291 0.0388 0.0485 0.043
LuxCoreRender CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.7 508.3 572.8 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 CPU Power Consumption Monitor 140 280 420 560 700
LuxCoreRender Scene: LuxCore Benchmark - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.5 Scene: LuxCore Benchmark - Acceleration: CPU 2 x EPYC 7763 0.0043 0.0086 0.0129 0.0172 0.0215 0.019
LuxCoreRender CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 447.0 543.0 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 CPU Power Consumption Monitor 140 280 420 560 700
LuxCoreRender Scene: Rainbow Colors and Prism - Acceleration: CPU OpenBenchmarking.org M samples/sec Per Watt, More Is Better LuxCoreRender 2.5 Scene: Rainbow Colors and Prism - Acceleration: CPU 2 x EPYC 7763 0.0149 0.0298 0.0447 0.0596 0.0745 0.066
LuxCoreRender CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 278.5 414.7 OpenBenchmarking.org Watts, Fewer Is Better LuxCoreRender 2.5 CPU Power Consumption Monitor 110 220 330 440 550
GraphicsMagick Operation: Swirl OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.33 Operation: Swirl 2 x EPYC 7763 2 4 6 8 10 6.064
GraphicsMagick CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 380.3 408.3 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.33 CPU Power Consumption Monitor 110 220 330 440 550
GraphicsMagick Operation: Rotate OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.33 Operation: Rotate 2 x EPYC 7763 0.7349 1.4698 2.2047 2.9396 3.6745 3.266
GraphicsMagick CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.1 174.2 181.2 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.33 CPU Power Consumption Monitor 50 100 150 200 250
GraphicsMagick Operation: Sharpen OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.33 Operation: Sharpen 2 x EPYC 7763 0.4356 0.8712 1.3068 1.7424 2.178 1.936
GraphicsMagick CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.4 456.6 493.4 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.33 CPU Power Consumption Monitor 130 260 390 520 650
GraphicsMagick Operation: Enhanced OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.33 Operation: Enhanced 2 x EPYC 7763 0.7452 1.4904 2.2356 2.9808 3.726 3.312
GraphicsMagick CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.6 443.2 476.5 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.33 CPU Power Consumption Monitor 120 240 360 480 600
GraphicsMagick Operation: Noise-Gaussian OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.33 Operation: Noise-Gaussian 2 x EPYC 7763 0.4946 0.9892 1.4838 1.9784 2.473 2.198
GraphicsMagick CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.0 264.7 290.8 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.33 CPU Power Consumption Monitor 70 140 210 280 350
GraphicsMagick Operation: HWB Color Space OpenBenchmarking.org Iterations Per Minute Per Watt, More Is Better GraphicsMagick 1.3.33 Operation: HWB Color Space 2 x EPYC 7763 0.6509 1.3018 1.9527 2.6036 3.2545 2.893
GraphicsMagick CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.4 225.7 240.1 OpenBenchmarking.org Watts, Fewer Is Better GraphicsMagick 1.3.33 CPU Power Consumption Monitor 60 120 180 240 300
dav1d Video Input: Summer Nature 4K OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.9.0 Video Input: Summer Nature 4K 2 x EPYC 7763 0.7364 1.4728 2.2092 2.9456 3.682 3.273
dav1d CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 181.1 455.2 OpenBenchmarking.org Watts, Fewer Is Better dav1d 0.9.0 CPU Power Consumption Monitor 120 240 360 480 600
dav1d Video Input: Chimera 1080p 10-bit OpenBenchmarking.org FPS Per Watt, More Is Better dav1d 0.9.0 Video Input: Chimera 1080p 10-bit 2 x EPYC 7763 2 4 6 8 10 7.593
dav1d CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better dav1d 0.9.0 CPU Power Consumption Monitor 2 x EPYC 7763 60 120 180 240 300 Min: 73.86 / Avg: 150.62 / Max: 346.93
TTSIOD 3D Renderer Phong Rendering With Soft-Shadow Mapping OpenBenchmarking.org FPS Per Watt, More Is Better TTSIOD 3D Renderer 2.3b Phong Rendering With Soft-Shadow Mapping 2 x EPYC 7763 0.4097 0.8194 1.2291 1.6388 2.0485 1.821
TTSIOD 3D Renderer CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 289.7 322.1 OpenBenchmarking.org Watts, Fewer Is Better TTSIOD 3D Renderer 2.3b CPU Power Consumption Monitor 80 160 240 320 400
Embree Binary: Pathtracer - Model: Crown OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer - Model: Crown 2 x EPYC 7763 0.0682 0.1364 0.2046 0.2728 0.341 0.303
Embree CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 365.5 571.4 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 2 x EPYC 7763 0.0608 0.1216 0.1824 0.2432 0.304 0.27
Embree CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.4 373.0 569.7 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 2 x EPYC 7763 0.0443 0.0886 0.1329 0.1772 0.2215 0.197
Embree CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.8 362.5 503.4 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 130 260 390 520 650
Embree Binary: Pathtracer - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer - Model: Asian Dragon Obj 2 x EPYC 7763 0.0488 0.0976 0.1464 0.1952 0.244 0.217
Embree CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 274.1 487.3 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 130 260 390 520 650
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 2 x EPYC 7763 0.0407 0.0814 0.1221 0.1628 0.2035 0.181
Embree CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 374.3 519.7 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 130 260 390 520 650
Embree Binary: Pathtracer ISPC - Model: Asian Dragon Obj OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Embree 3.13 Binary: Pathtracer ISPC - Model: Asian Dragon Obj 2 x EPYC 7763 0.0468 0.0936 0.1404 0.1872 0.234 0.208
Embree CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.7 283.5 515.2 OpenBenchmarking.org Watts, Fewer Is Better Embree 3.13 CPU Power Consumption Monitor 130 260 390 520 650
Kvazaar Video Input: Bosphorus 4K - Video Preset: Very Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Very Fast 2 x EPYC 7763 0.0401 0.0802 0.1203 0.1604 0.2005 0.178
Kvazaar CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.7 310.8 465.7 OpenBenchmarking.org Watts, Fewer Is Better Kvazaar 2.0 CPU Power Consumption Monitor 120 240 360 480 600
Kvazaar Video Input: Bosphorus 4K - Video Preset: Ultra Fast OpenBenchmarking.org Frames Per Second Per Watt, More Is Better Kvazaar 2.0 Video Input: Bosphorus 4K - Video Preset: Ultra Fast 2 x EPYC 7763 0.052 0.104 0.156 0.208 0.26 0.231
Kvazaar CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 255.8 341.0 OpenBenchmarking.org Watts, Fewer Is Better Kvazaar 2.0 CPU Power Consumption Monitor 80 160 240 320 400
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 0.8.7 Encoder Mode: Preset 4 - Input: Bosphorus 4K 2 x EPYC 7763 0.0043 0.0086 0.0129 0.0172 0.0215 0.019
SVT-AV1 CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 261.5 415.4 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 0.8.7 CPU Power Consumption Monitor 110 220 330 440 550
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-AV1 0.8.7 Encoder Mode: Preset 8 - Input: Bosphorus 4K 2 x EPYC 7763 0.0554 0.1108 0.1662 0.2216 0.277 0.246
SVT-AV1 CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.2 252.2 438.4 OpenBenchmarking.org Watts, Fewer Is Better SVT-AV1 0.8.7 CPU Power Consumption Monitor 110 220 330 440 550
SVT-HEVC Tuning: 1 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 1 - Input: Bosphorus 1080p 2 x EPYC 7763 0.0351 0.0702 0.1053 0.1404 0.1755 0.156
SVT-HEVC CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 352.8 534.8 OpenBenchmarking.org Watts, Fewer Is Better SVT-HEVC 1.5.0 CPU Power Consumption Monitor 140 280 420 560 700
SVT-HEVC Tuning: 7 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 7 - Input: Bosphorus 1080p 2 x EPYC 7763 0.4556 0.9112 1.3668 1.8224 2.278 2.025
SVT-HEVC CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.4 166.9 377.6 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 1080p OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-HEVC 1.5.0 Tuning: 10 - Input: Bosphorus 1080p 2 x EPYC 7763 0.9601 1.9202 2.8803 3.8404 4.8005 4.267
SVT-HEVC CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 139.7 339.7 OpenBenchmarking.org Watts, Fewer Is Better SVT-HEVC 1.5.0 CPU Power Consumption Monitor 80 160 240 320 400
SVT-VP9 Tuning: VMAF Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.3 Tuning: VMAF Optimized - Input: Bosphorus 1080p 2 x EPYC 7763 0.6822 1.3644 2.0466 2.7288 3.411 3.032
SVT-VP9 CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.6 151.8 343.0 OpenBenchmarking.org Watts, Fewer Is Better SVT-VP9 0.3 CPU Power Consumption Monitor 80 160 240 320 400
SVT-VP9 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.3 Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p 2 x EPYC 7763 0.6752 1.3504 2.0256 2.7008 3.376 3.001
SVT-VP9 CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.4 153.2 345.4 OpenBenchmarking.org Watts, Fewer Is Better SVT-VP9 0.3 CPU Power Consumption Monitor 100 200 300 400 500
SVT-VP9 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second Per Watt, More Is Better SVT-VP9 0.3 Tuning: Visual Quality Optimized - Input: Bosphorus 1080p 2 x EPYC 7763 0.5067 1.0134 1.5201 2.0268 2.5335 2.252
SVT-VP9 CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 70.1 156.3 337.5 OpenBenchmarking.org Watts, Fewer Is Better SVT-VP9 0.3 CPU Power Consumption Monitor 80 160 240 320 400
x265 Video Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second Per Watt, More Is Better x265 3.4 Video Input: Bosphorus 4K 2 x EPYC 7763 0.0232 0.0464 0.0696 0.0928 0.116 0.103
x265 CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 240.5 308.8 OpenBenchmarking.org Watts, Fewer Is Better x265 3.4 CPU Power Consumption Monitor 80 160 240 320 400
ACES DGEMM Sustained Floating-Point Rate OpenBenchmarking.org GFLOP/s Per Watt, More Is Better ACES DGEMM 1.0 Sustained Floating-Point Rate 2 x EPYC 7763 0.0252 0.0504 0.0756 0.1008 0.126 0.112
ACES DGEMM CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 341.4 573.1 OpenBenchmarking.org Watts, Fewer Is Better ACES DGEMM 1.0 CPU Power Consumption Monitor 140 280 420 560 700
Intel Open Image Denoise Run: RT.hdr_alb_nrm.3840x2160 OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 1.4.0 Run: RT.hdr_alb_nrm.3840x2160 2 x EPYC 7763 0.002 0.004 0.006 0.008 0.01 0.009
Intel Open Image Denoise CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.3 286.8 511.9 OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 1.4.0 CPU Power Consumption Monitor 130 260 390 520 650
Intel Open Image Denoise Run: RT.ldr_alb_nrm.3840x2160 OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 1.4.0 Run: RT.ldr_alb_nrm.3840x2160 2 x EPYC 7763 0.002 0.004 0.006 0.008 0.01 0.009
Intel Open Image Denoise CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.4 290.9 513.1 OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 1.4.0 CPU Power Consumption Monitor 130 260 390 520 650
Intel Open Image Denoise Run: RTLightmap.hdr.4096x4096 OpenBenchmarking.org Images / Sec Per Watt, More Is Better Intel Open Image Denoise 1.4.0 Run: RTLightmap.hdr.4096x4096 2 x EPYC 7763 0.0009 0.0018 0.0027 0.0036 0.0045 0.004
Intel Open Image Denoise CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.2 317.3 507.0 OpenBenchmarking.org Watts, Fewer Is Better Intel Open Image Denoise 1.4.0 CPU Power Consumption Monitor 130 260 390 520 650
OpenVKL Benchmark: vklBenchmark OpenBenchmarking.org Items / Sec Per Watt, More Is Better OpenVKL 0.9 Benchmark: vklBenchmark 2 x EPYC 7763 0.5774 1.1548 1.7322 2.3096 2.887 2.566
OpenVKL CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better OpenVKL 0.9 CPU Power Consumption Monitor 2 x EPYC 7763 100 200 300 400 500 Min: 82.64 / Avg: 234.97 / Max: 572.93
OpenVKL Benchmark: vklBenchmarkVdbVolume OpenBenchmarking.org Items / Sec Per Watt, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkVdbVolume 2 x EPYC 7763 30K 60K 90K 120K 150K 138628.42
OpenVKL CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.2 166.0 291.3 OpenBenchmarking.org Watts, Fewer Is Better OpenVKL 0.9 CPU Power Consumption Monitor 70 140 210 280 350
OpenVKL Benchmark: vklBenchmarkStructuredVolume OpenBenchmarking.org Items / Sec Per Watt, More Is Better OpenVKL 0.9 Benchmark: vklBenchmarkStructuredVolume 2 x EPYC 7763 140K 280K 420K 560K 700K 631842.95
OpenVKL CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 173.9 301.1 OpenBenchmarking.org Watts, Fewer Is Better OpenVKL 0.9 CPU Power Consumption Monitor 80 160 240 320 400
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 2 x EPYC 7763 2K 4K 6K 8K 10K 9537.4
Coremark CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 339.3 461.2 OpenBenchmarking.org Watts, Fewer Is Better Coremark 1.0 CPU Power Consumption Monitor 120 240 360 480 600
7-Zip Compression Compress Speed Test OpenBenchmarking.org MIPS Per Watt, More Is Better 7-Zip Compression 16.02 Compress Speed Test 2 x EPYC 7763 300 600 900 1200 1500 1494.89
7-Zip Compression CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better 7-Zip Compression 16.02 CPU Power Consumption Monitor 2 x EPYC 7763 100 200 300 400 500 Min: 81.45 / Avg: 333.51 / Max: 572.67
Stockfish Total Time OpenBenchmarking.org Nodes Per Second Per Watt, More Is Better Stockfish 13 Total Time 2 x EPYC 7763 150K 300K 450K 600K 750K 690302.48
Stockfish CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.9 452.3 570.8 OpenBenchmarking.org Watts, Fewer Is Better Stockfish 13 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 2 x EPYC 7763 120K 240K 360K 480K 600K 543167.01
asmFish CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.4 540.9 570.8 OpenBenchmarking.org Watts, Fewer Is Better asmFish 2018-07-23 CPU Power Consumption Monitor 140 280 420 560 700
ebizzy OpenBenchmarking.org Records/s Per Watt, More Is Better ebizzy 0.3 2 x EPYC 7763 1600 3200 4800 6400 8000 7371.59
ebizzy CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.1 422.3 493.4 OpenBenchmarking.org Watts, Fewer Is Better ebizzy 0.3 CPU Power Consumption Monitor 130 260 390 520 650
libavif avifenc CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 203.1 301.0 OpenBenchmarking.org Watts, Fewer Is Better libavif avifenc 0.9.0 CPU Power Consumption Monitor 80 160 240 320 400
Timed Apache Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 158.5 201.0 OpenBenchmarking.org Watts, Fewer Is Better Timed Apache Compilation 2.4.41 CPU Power Consumption Monitor 50 100 150 200 250
Timed FFmpeg Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.6 230.8 572.7 OpenBenchmarking.org Watts, Fewer Is Better Timed FFmpeg Compilation 4.4 CPU Power Consumption Monitor 140 280 420 560 700
Timed GDB GNU Debugger Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.9 192.7 573.1 OpenBenchmarking.org Watts, Fewer Is Better Timed GDB GNU Debugger Compilation 10.2 CPU Power Consumption Monitor 140 280 420 560 700
Timed Godot Game Engine Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 246.4 561.2 OpenBenchmarking.org Watts, Fewer Is Better Timed Godot Game Engine Compilation 3.2.3 CPU Power Consumption Monitor 140 280 420 560 700
Timed ImageMagick Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 187.9 534.1 OpenBenchmarking.org Watts, Fewer Is Better Timed ImageMagick Compilation 6.9.0 CPU Power Consumption Monitor 140 280 420 560 700
Timed Linux Kernel Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 262.4 574.9 OpenBenchmarking.org Watts, Fewer Is Better Timed Linux Kernel Compilation 5.10.20 CPU Power Consumption Monitor 140 280 420 560 700
Timed LLVM Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 356.3 572.4 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 12.0 CPU Power Consumption Monitor 140 280 420 560 700
Timed LLVM Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.4 295.2 571.6 OpenBenchmarking.org Watts, Fewer Is Better Timed LLVM Compilation 12.0 CPU Power Consumption Monitor 140 280 420 560 700
Timed Mesa Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.2 215.5 573.4 OpenBenchmarking.org Watts, Fewer Is Better Timed Mesa Compilation 21.0 CPU Power Consumption Monitor 140 280 420 560 700
Timed Node.js Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.5 346.7 572.6 OpenBenchmarking.org Watts, Fewer Is Better Timed Node.js Compilation 15.11 CPU Power Consumption Monitor 140 280 420 560 700
Timed PHP Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 184.8 564.1 OpenBenchmarking.org Watts, Fewer Is Better Timed PHP Compilation 7.4.2 CPU Power Consumption Monitor 140 280 420 560 700
Build2 CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.6 235.8 571.8 OpenBenchmarking.org Watts, Fewer Is Better Build2 0.13 CPU Power Consumption Monitor 140 280 420 560 700
C-Ray CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.5 340.8 559.8 OpenBenchmarking.org Watts, Fewer Is Better C-Ray 1.1 CPU Power Consumption Monitor 140 280 420 560 700
POV-Ray CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 259.5 546.6 OpenBenchmarking.org Watts, Fewer Is Better POV-Ray 3.7.0.7 CPU Power Consumption Monitor 140 280 420 560 700
Primesieve CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.3 240.7 553.9 OpenBenchmarking.org Watts, Fewer Is Better Primesieve 7.4 CPU Power Consumption Monitor 140 280 420 560 700
YafaRay CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.4 333.7 418.7 OpenBenchmarking.org Watts, Fewer Is Better YafaRay 3.4.1 CPU Power Consumption Monitor 110 220 330 440 550
rays1bench Large Scene OpenBenchmarking.org mrays/s Per Watt, More Is Better rays1bench 2020-01-09 Large Scene 2 x EPYC 7763 0.6833 1.3666 2.0499 2.7332 3.4165 3.037
rays1bench CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 182.4 493.1 OpenBenchmarking.org Watts, Fewer Is Better rays1bench 2020-01-09 CPU Power Consumption Monitor 130 260 390 520 650
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.0 303.1 495.0 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 130 260 390 520 650
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.7 238.3 357.7 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 100 200 300 400 500
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.8 282.5 383.5 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 100 200 300 400 500
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.6 238.8 362.7 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 100 200 300 400 500
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.3 288.6 485.6 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 130 260 390 520 650
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.0 289.5 408.7 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 203.9 368.8 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 100 200 300 400 500
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 299.2 562.9 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 140 280 420 560 700
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.1 315.1 474.5 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 120 240 360 480 600
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 246.0 490.6 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 130 260 390 520 650
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.8 349.1 415.4 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.0 337.8 493.7 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 130 260 390 520 650
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.4 349.0 416.4 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 338.8 499.8 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 130 260 390 520 650
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.7 273.1 395.0 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.4 349.2 416.5 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 110 220 330 440 550
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.9 338.2 497.5 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 130 260 390 520 650
oneDNN CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.4 283.2 435.0 OpenBenchmarking.org Watts, Fewer Is Better oneDNN 2.1.2 CPU Power Consumption Monitor 110 220 330 440 550
Timed Wasmer Compilation CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.1 205.1 326.9 OpenBenchmarking.org Watts, Fewer Is Better Timed Wasmer Compilation 1.0.2 CPU Power Consumption Monitor 80 160 240 320 400
Helsing CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better Helsing 1.0-beta CPU Power Consumption Monitor 2 x EPYC 7763 90 180 270 360 450 Min: 81.86 / Avg: 375.12 / Max: 494.21
m-queens CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.1 332.0 510.4 OpenBenchmarking.org Watts, Fewer Is Better m-queens 1.2 CPU Power Consumption Monitor 130 260 390 520 650
Tachyon CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.4 368.9 558.0 OpenBenchmarking.org Watts, Fewer Is Better Tachyon 0.99b6 CPU Power Consumption Monitor 140 280 420 560 700
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.8 215.8 235.3 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20210126 CPU Power Consumption Monitor 60 120 180 240 300
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.6 217.2 238.9 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20210126 CPU Power Consumption Monitor 60 120 180 240 300
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.7 181.7 251.2 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20210126 CPU Power Consumption Monitor 60 120 180 240 300
WebP2 Image Encode CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 80.9 220.7 240.5 OpenBenchmarking.org Watts, Fewer Is Better WebP2 Image Encode 20210126 CPU Power Consumption Monitor 60 120 180 240 300
OpenSSL RSA 4096-bit Performance OpenBenchmarking.org Signs Per Second Per Watt, More Is Better OpenSSL 1.1.1 RSA 4096-bit Performance 2 x EPYC 7763 13 26 39 52 65 59.57
OpenSSL CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.7 477.9 563.8 OpenBenchmarking.org Watts, Fewer Is Better OpenSSL 1.1.1 CPU Power Consumption Monitor 140 280 420 560 700
Aircrack-ng OpenBenchmarking.org k/s Per Watt, More Is Better Aircrack-ng 1.5.2 2 x EPYC 7763 200 400 600 800 1000 881.11
Aircrack-ng CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.9 470.3 529.7 OpenBenchmarking.org Watts, Fewer Is Better Aircrack-ng 1.5.2 CPU Power Consumption Monitor 130 260 390 520 650
Cpuminer-Opt Algorithm: Magi OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Magi 2 x EPYC 7763 7 14 21 28 35 28.49
Cpuminer-Opt CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.3 214.1 350.9 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.15.5 CPU Power Consumption Monitor 100 200 300 400 500
Cpuminer-Opt Algorithm: x25x OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: x25x 2 x EPYC 7763 5 10 15 20 25 19.17
Cpuminer-Opt CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.7 226.2 386.5 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.15.5 CPU Power Consumption Monitor 100 200 300 400 500
Cpuminer-Opt Algorithm: Deepcoin OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Deepcoin 2 x EPYC 7763 140 280 420 560 700 671.32
Cpuminer-Opt CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 167.0 232.4 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.15.5 CPU Power Consumption Monitor 60 120 180 240 300
Cpuminer-Opt Algorithm: Blake-2 S OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Blake-2 S 2 x EPYC 7763 6K 12K 18K 24K 30K 26905.34
Cpuminer-Opt CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 151.5 168.6 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.15.5 CPU Power Consumption Monitor 50 100 150 200 250
Cpuminer-Opt Algorithm: Garlicoin OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Garlicoin 2 x EPYC 7763 30 60 90 120 150 157.59
Cpuminer-Opt CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.1 182.0 369.9 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.15.5 CPU Power Consumption Monitor 100 200 300 400 500
Cpuminer-Opt Algorithm: Skeincoin OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Skeincoin 2 x EPYC 7763 1600 3200 4800 6400 8000 7272.60
Cpuminer-Opt CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.1 154.6 171.0 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.15.5 CPU Power Consumption Monitor 50 100 150 200 250
Cpuminer-Opt Algorithm: Myriad-Groestl OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: Myriad-Groestl 2 x EPYC 7763 300 600 900 1200 1500 1483.20
Cpuminer-Opt CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.3 161.0 242.7 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.15.5 CPU Power Consumption Monitor 60 120 180 240 300
Cpuminer-Opt Algorithm: LBC, LBRY Credits OpenBenchmarking.org kH/s Per Watt, More Is Better Cpuminer-Opt 3.15.5 Algorithm: LBC, LBRY Credits 2 x EPYC 7763 700 1400 2100 2800 3500 3265.44
Cpuminer-Opt CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.2 157.9 173.0 OpenBenchmarking.org Watts, Fewer Is Better Cpuminer-Opt 3.15.5 CPU Power Consumption Monitor 50 100 150 200 250
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 2 x EPYC 7763 2M 4M 6M 8M 10M 9297794.92
Liquid-DSP CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.5 334.6 414.4 OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 2021.01.31 CPU Power Consumption Monitor 110 220 330 440 550
Liquid-DSP Threads: 128 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 128 - Buffer Length: 256 - Filter Length: 57 2 x EPYC 7763 3M 6M 9M 12M 15M 12615116.14
Liquid-DSP CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.7 462.2 543.7 OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 2021.01.31 CPU Power Consumption Monitor 140 280 420 560 700
Liquid-DSP Threads: 160 - Buffer Length: 256 - Filter Length: 57 OpenBenchmarking.org samples/s Per Watt, More Is Better Liquid-DSP 2021.01.31 Threads: 160 - Buffer Length: 256 - Filter Length: 57 2 x EPYC 7763 3M 6M 9M 12M 15M 13016160.24
Liquid-DSP CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.6 453.5 536.1 OpenBenchmarking.org Watts, Fewer Is Better Liquid-DSP 2021.01.31 CPU Power Consumption Monitor 140 280 420 560 700
ASKAP Test: tConvolve MT - Degridding OpenBenchmarking.org Million Grid Points Per Second Per Watt, More Is Better ASKAP 1.0 Test: tConvolve MT - Degridding 2 x EPYC 7763 10 20 30 40 50 43.68
ASKAP CPU Power Consumption Monitor OpenBenchmarking.org Watts, Fewer Is Better ASKAP 1.0 CPU Power Consumption Monitor 2 x EPYC 7763 90 180 270 360 450 Min: 81.41 / Avg: 239.93 / Max: 479.68
ASKAP Test: tConvolve MPI - Gridding OpenBenchmarking.org Mpix/sec Per Watt, More Is Better ASKAP 1.0 Test: tConvolve MPI - Gridding 2 x EPYC 7763 30 60 90 120 150 123.01
ASKAP CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.6 387.9 562.8 OpenBenchmarking.org Watts, Fewer Is Better ASKAP 1.0 CPU Power Consumption Monitor 140 280 420 560 700
ASKAP Test: tConvolve OpenMP - Degridding OpenBenchmarking.org Million Grid Points Per Second Per Watt, More Is Better ASKAP 1.0 Test: tConvolve OpenMP - Degridding 2 x EPYC 7763 9 18 27 36 45 37.78
ASKAP CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.7 158.4 269.0 OpenBenchmarking.org Watts, Fewer Is Better ASKAP 1.0 CPU Power Consumption Monitor 70 140 210 280 350
ASKAP Test: Hogbom Clean OpenMP OpenBenchmarking.org Iterations Per Second Per Watt, More Is Better ASKAP 1.0 Test: Hogbom Clean OpenMP 2 x EPYC 7763 0.4064 0.8128 1.2192 1.6256 2.032 1.806
ASKAP CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 82.3 177.5 357.6 OpenBenchmarking.org Watts, Fewer Is Better ASKAP 1.0 CPU Power Consumption Monitor 100 200 300 400 500
GROMACS Implementation: MPI CPU - Input: water_GMX50_bare OpenBenchmarking.org Ns Per Day Per Watt, More Is Better GROMACS 2021.2 Implementation: MPI CPU - Input: water_GMX50_bare 2 x EPYC 7763 0.005 0.01 0.015 0.02 0.025 0.022
GROMACS CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 83.1 450.9 560.0 OpenBenchmarking.org Watts, Fewer Is Better GROMACS 2021.2 CPU Power Consumption Monitor 140 280 420 560 700
TensorFlow Lite CPU Power Consumption Monitor Min Avg Max 2 x EPYC 7763 81.2 502.8 561.7 OpenBenchmarking.org Watts, Fewer Is Better TensorFlow Lite 2020-08-23 CPU Power Consumption Monitor 140 280 420 560 700
Phoronix Test Suite v10.8.4