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&grs.

server-cpus-june-2021 ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution2 x EPYC 77632 x AMD EPYC 7763 64-Core @ 2.45GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1001D BIOS)AMD Starship/Matisse504GB7682GB INTEL SSDPF2KX076TZllvmpipeVE2282 x Mellanox MT27710Ubuntu 21.045.13.0-051300rc4-generic (x86_64) 20210530X Server 1.20.114.5 Mesa 21.0.1 (LLVM 11.0.1 256 bits)1.0.2GCC 10.3.0ext41920x1080OpenBenchmarking.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 gromacs: MPI CPU - water_GMX50_bareaskap: Hogbom Clean OpenMPaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingaskap: tConvolve MT - Griddingliquid-dsp: 160 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 64 - 256 - 57cpuminer-opt: LBC, LBRY Creditscpuminer-opt: Skeincoincpuminer-opt: Garlicoincpuminer-opt: Deepcoincpuminer-opt: x25xcpuminer-opt: Magiaircrack-ng: openssl: RSA 4096-bit Performancewebp2: Quality 100, Lossless Compressionwebp2: Quality 100, Compression Effort 5webp2: Quality 95, Compression Effort 7webp2: Quality 75, Compression Effort 7tachyon: Total Timem-queens: Time To Solvebuild-wasmer: Time To Compileonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - f32 - CPUrays1bench: Large Sceneyafaray: Total Time For Sample Sceneprimesieve: 1e12 Prime Number Generationpovray: Trace Timec-ray: Total Time - 4K, 16 Rays Per Pixelbuild2: Time To Compilebuild-php: Time To Compilebuild-nodejs: Time To Compilebuild-mesa: Time To Compilebuild-llvm: Unix Makefilesbuild-llvm: Ninjabuild-linux-kernel: Time To Compilebuild-imagemagick: Time To Compilebuild-godot: Time To Compilebuild-gdb: Time To Compilebuild-ffmpeg: Time To Compilebuild-apache: Time To Compileavifenc: 6, Losslessebizzy: asmfish: 1024 Hash Memory, 26 Depthstockfish: Total Timecompress-7zip: Compress Speed Testcoremark: CoreMark Size 666 - Iterations Per Secondopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkVdbVolumeopenvkl: vklBenchmarkoidn: RTLightmap.hdr.4096x4096oidn: RT.ldr_alb_nrm.3840x2160oidn: RT.hdr_alb_nrm.3840x2160mt-dgemm: Sustained Floating-Point Ratex265: Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 4K - Very Fastembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Crownembree: Pathtracer - Crowndav1d: Chimera 1080p 10-bitdav1d: Summer Nature 4Kgraphics-magick: HWB Color Spacegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpengraphics-magick: Rotategraphics-magick: Swirlluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - CPUjohn-the-ripper: MD5john-the-ripper: Blowfishxmrig: Wownero - 1Mxmrig: Monero - 1Mlulesh: lammps: Rhodopsin Proteinlammps: 20k Atomsqe: AUSURF112openfoam: Motorbike 60Mopenfoam: Motorbike 30Mincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dnwchem: C240 Buckyballpennant: sedovbigamg: toybrot: C++ Threadstoybrot: C++ Taskstoybrot: OpenMPtoybrot: TBBnamd: ATPase Simulation - 327,506 Atomsrodinia: OpenMP Streamclusterrodinia: OpenMP CFD Solverrodinia: OpenMP Leukocyterodinia: OpenMP LavaMDminife: Smallnpb: SP.Cnpb: SP.Bnpb: MG.Cnpb: LU.Cnpb: IS.Dnpb: FT.Cnpb: EP.Dnpb: EP.Cnpb: CG.Cnpb: BT.Ctensorflow-lite: SqueezeNetaskap: tConvolve MT - Degriddingcpuminer-opt: Myriad-Groestlcpuminer-opt: Blake-2 Shelsing: 14 digitonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUttsiod-renderer: Phong Rendering With Soft-Shadow Mappingluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: DLSC - CPUincompact3d: input.i3d 129 Cells Per Directionpennant: leblancbigcloverleaf: Lagrangian-Eulerian Hydrodynamics2 x EPYC 776310.141320.6245984.045171.5147712.444990.16000.315902333333583073333331106333335157331124649286801121404336.286099.30414388.80228464.5388.7606.963227.807121.6848.98896.24441.7830.7064123334.590.4884563319.373330.400.8422583.3246126.61020.5861351.063311.570484.724041.80828554.1550.2632.4087.2605.83154.24935.23073.15016.899177.23298.25518.30611.58651.98745.66614.71920.32029.27831131422937933953122308954985613236345.093404109870381230156846031.252.572.5338.13964824.82352.07459.91460.25596.09337.8755.1762.1015.06859.0855.4358.939167.613659.528471.5382100.6551110.70061143.60592.79653582146888456923068.6521.668.781076333318323448176.056612.736927.23531.32635.084973.0290.1414.9011.0900421297.6698001837.95.236554192545866736793867432734930.224567.4896.18851.61823.65826535.1116234.76149338.71102771.23288799.044460.84120440.0410736.779537.2348175.52257264.2453389.410480.312387804077053122.8521385.481332.191464.790.7302050.848820527.53018.4014.332.722974193.34249816.12OpenBenchmarking.org

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bare2 x EPYC 77633691215SE +/- 0.07, N = 310.141. (CXX) g++ options: -O3 -pthread

ASKAP

Test: Hogbom Clean OpenMP

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMP2 x EPYC 776370140210280350SE +/- 3.47, N = 4320.621. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Degridding2 x EPYC 776313002600390052006500SE +/- 38.82, N = 45984.041. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve OpenMP - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Gridding2 x EPYC 776311002200330044005500SE +/- 51.20, N = 45171.511. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Gridding2 x EPYC 776310K20K30K40K50KSE +/- 313.07, N = 347712.41. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - Degridding2 x EPYC 776310K20K30K40K50KSE +/- 423.01, N = 344990.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MT - Gridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Gridding2 x EPYC 776313002600390052006500SE +/- 2.16, N = 36000.311. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Liquid-DSP

Threads: 160 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 572 x EPYC 77631300M2600M3900M5200M6500MSE +/- 3371613.53, N = 359023333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 572 x EPYC 77631200M2400M3600M4800M6000MSE +/- 3169822.99, N = 358307333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 572 x EPYC 7763700M1400M2100M2800M3500MSE +/- 4437842.32, N = 331106333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: LBC, LBRY Credits2 x EPYC 7763110K220K330K440K550KSE +/- 6048.06, N = 35157331. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Skeincoin2 x EPYC 7763200K400K600K800K1000KSE +/- 17000.09, N = 1511246491. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Garlicoin2 x EPYC 77636K12K18K24K30KSE +/- 116.76, N = 3286801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Deepcoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Deepcoin2 x EPYC 776320K40K60K80K100KSE +/- 1493.99, N = 121121401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25x2 x EPYC 77639001800270036004500SE +/- 51.41, N = 44336.281. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Magi

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Magi2 x EPYC 776313002600390052006500SE +/- 52.03, N = 136099.301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.22 x EPYC 776390K180K270K360K450KSE +/- 159.71, N = 3414388.801. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performance2 x EPYC 77636K12K18K24K30KSE +/- 0.99, N = 328464.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Lossless Compression2 x EPYC 776380160240320400SE +/- 0.24, N = 3388.761. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Compression Effort 52 x EPYC 7763246810SE +/- 0.014, N = 66.9631. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 95, Compression Effort 72 x EPYC 776350100150200250SE +/- 0.85, N = 3227.811. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 75, Compression Effort 72 x EPYC 7763306090120150SE +/- 0.53, N = 3121.681. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

Tachyon

Total Time

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total Time2 x EPYC 77633691215SE +/- 0.0972, N = 158.98891. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To Solve2 x EPYC 7763246810SE +/- 0.011, N = 76.2441. (CXX) g++ options: -fopenmp -O2 -march=native

Timed Wasmer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 1.0.2Time To Compile2 x EPYC 77631020304050SE +/- 0.27, N = 341.781. (CC) gcc options: -m64 -pie -nodefaultlibs -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.15890.31780.47670.63560.7945SE +/- 0.008059, N = 40.706412MIN: 0.611. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU2 x EPYC 77637001400210028003500SE +/- 34.08, N = 33334.59MIN: 3036.361. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU2 x EPYC 77630.10990.21980.32970.43960.5495SE +/- 0.003185, N = 150.488456MIN: 0.421. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77637001400210028003500SE +/- 22.25, N = 33319.37MIN: 3090.921. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU2 x EPYC 77637001400210028003500SE +/- 12.03, N = 33330.40MIN: 3097.071. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.18950.3790.56850.7580.9475SE +/- 0.006220, N = 150.842258MIN: 0.751. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU2 x EPYC 77630.7481.4962.2442.9923.74SE +/- 0.02376, N = 93.32461MIN: 2.131. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU2 x EPYC 7763612182430SE +/- 0.34, N = 326.61MIN: 18.331. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU2 x EPYC 77630.13190.26380.39570.52760.6595SE +/- 0.004578, N = 70.586135MIN: 0.521. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.23920.47840.71760.95681.196SE +/- 0.00834, N = 51.06331MIN: 0.881. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.35340.70681.06021.41361.767SE +/- 0.00915, N = 41.57048MIN: 1.291. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU2 x EPYC 77631.06292.12583.18874.25165.3145SE +/- 0.02745, N = 54.72404MIN: 3.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU2 x EPYC 77630.40690.81381.22071.62762.0345SE +/- 0.00936, N = 41.80828MIN: 1.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

rays1bench

Large Scene

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large Scene2 x EPYC 7763120240360480600SE +/- 0.90, N = 9554.15

YafaRay

Total Time For Sample Scene

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample Scene2 x EPYC 77631122334455SE +/- 0.39, N = 1550.261. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Primesieve

1e12 Prime Number Generation

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 7.41e12 Prime Number Generation2 x EPYC 77630.54181.08361.62542.16722.709SE +/- 0.005, N = 102.4081. (CXX) g++ options: -O3 -lpthread

POV-Ray

Trace Time

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace Time2 x EPYC 7763246810SE +/- 0.038, N = 57.2601. (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

C-Ray

Total Time - 4K, 16 Rays Per Pixel

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per Pixel2 x EPYC 77631.3122.6243.9365.2486.56SE +/- 0.037, N = 75.8311. (CC) gcc options: -lm -lpthread -O3

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile2 x EPYC 77631224364860SE +/- 0.09, N = 354.25

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To Compile2 x EPYC 7763816243240SE +/- 0.13, N = 335.23

Timed Node.js Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 15.11Time To Compile2 x EPYC 77631632486480SE +/- 0.30, N = 373.15

Timed Mesa Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 21.0Time To Compile2 x EPYC 776348121620SE +/- 0.03, N = 316.90

Timed LLVM Compilation

Build System: Unix Makefiles

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Unix Makefiles2 x EPYC 77634080120160200SE +/- 0.57, N = 3177.23

Timed LLVM Compilation

Build System: Ninja

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 12.0Build System: Ninja2 x EPYC 776320406080100SE +/- 0.49, N = 398.26

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20Time To Compile2 x EPYC 7763510152025SE +/- 0.14, N = 1218.31

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To Compile2 x EPYC 77633691215SE +/- 0.04, N = 411.59

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile2 x EPYC 77631224364860SE +/- 0.41, N = 351.99

Timed GDB GNU Debugger Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To Compile2 x EPYC 77631020304050SE +/- 0.29, N = 345.67

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.4Time To Compile2 x EPYC 776348121620SE +/- 0.04, N = 414.72

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile2 x EPYC 7763510152025SE +/- 0.01, N = 320.32

libavif avifenc

Encoder Speed: 6, Lossless

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.9.0Encoder Speed: 6, Lossless2 x EPYC 7763714212835SE +/- 0.01, N = 329.281. (CXX) g++ options: -O3 -fPIC -lm

ebizzy

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.32 x EPYC 7763700K1400K2100K2800K3500KSE +/- 33675.96, N = 531131421. (CC) gcc options: -pthread -lpthread -O3 -march=native

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth2 x EPYC 776360M120M180M240M300MSE +/- 2669339.16, N = 7293793395

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 13Total Time2 x EPYC 776370M140M210M280M350MSE +/- 623832.94, N = 33122308951. (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

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed Test2 x EPYC 7763110K220K330K440K550KSE +/- 3107.07, N = 154985611. (CXX) g++ options: -pipe -lpthread

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second2 x EPYC 7763700K1400K2100K2800K3500KSE +/- 43082.17, N = 33236345.091. (CC) gcc options: -O2 -lrt" -lrt

OpenVKL

Benchmark: vklBenchmarkStructuredVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolume2 x EPYC 776320M40M60M80M100MSE +/- 857112.13, N = 3109870381MIN: 940807 / MAX: 1183908672

OpenVKL

Benchmark: vklBenchmarkVdbVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolume2 x EPYC 77635M10M15M20M25MSE +/- 140542.44, N = 323015684MIN: 826242 / MAX: 134439120

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark2 x EPYC 7763130260390520650SE +/- 6.72, N = 4603MIN: 1 / MAX: 1751

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x40962 x EPYC 77630.28130.56260.84391.12521.4065SE +/- 0.00, N = 31.25

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x21602 x EPYC 77630.57831.15661.73492.31322.8915SE +/- 0.01, N = 42.57

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x21602 x EPYC 77630.56931.13861.70792.27722.8465SE +/- 0.01, N = 42.53

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point Rate2 x EPYC 7763918273645SE +/- 0.28, N = 1538.141. (CC) gcc options: -O3 -march=native -fopenmp

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K2 x EPYC 7763612182430SE +/- 0.21, N = 1524.821. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p2 x EPYC 776380160240320400SE +/- 0.89, N = 8352.071. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p2 x EPYC 7763100200300400500SE +/- 2.47, N = 9459.911. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p2 x EPYC 7763100200300400500SE +/- 5.37, N = 15460.251. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-HEVC

Tuning: 10 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p2 x EPYC 7763130260390520650SE +/- 3.93, N = 11596.091. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 7 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p2 x EPYC 776370140210280350SE +/- 2.19, N = 10337.871. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-HEVC

Tuning: 1 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p2 x EPYC 77631224364860SE +/- 0.40, N = 1555.171. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4K2 x EPYC 77631428425670SE +/- 0.41, N = 1562.101. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4K2 x EPYC 77631.14032.28063.42094.56125.7015SE +/- 0.019, N = 35.0681. (CXX) g++ options: -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq -pie

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast2 x EPYC 77631326395265SE +/- 0.34, N = 559.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast2 x EPYC 77631224364860SE +/- 0.43, N = 555.431. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon Obj2 x EPYC 77631326395265SE +/- 0.40, N = 1558.94MIN: 53.57 / MAX: 65.84

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon2 x EPYC 77631530456075SE +/- 0.62, N = 1567.61MIN: 60.91 / MAX: 74.47

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon Obj2 x EPYC 77631326395265SE +/- 0.14, N = 359.53MIN: 56.12 / MAX: 66.22

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon2 x EPYC 77631632486480SE +/- 0.50, N = 1571.54MIN: 64.78 / MAX: 78.4

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crown2 x EPYC 776320406080100SE +/- 0.10, N = 6100.66MIN: 92.79 / MAX: 113.68

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Crown2 x EPYC 776320406080100SE +/- 0.11, N = 6110.70MIN: 99.55 / MAX: 124.02

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.0Video Input: Chimera 1080p 10-bit2 x EPYC 77632004006008001000SE +/- 1.69, N = 31143.60MIN: 481.57 / MAX: 1388.521. (CC) gcc options: -pthread -lm

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.9.0Video Input: Summer Nature 4K2 x EPYC 7763130260390520650SE +/- 6.89, N = 3592.79MIN: 129.05 / MAX: 711.811. (CC) gcc options: -pthread -lm

GraphicsMagick

Operation: HWB Color Space

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space2 x EPYC 7763140280420560700SE +/- 4.51, N = 36531. (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.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian2 x EPYC 7763130260390520650SE +/- 1.53, N = 35821. (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.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Enhanced2 x EPYC 776330060090012001500SE +/- 4.26, N = 314681. (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.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Sharpen2 x EPYC 77632004006008001000SE +/- 0.88, N = 38841. (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.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Rotate2 x EPYC 7763120240360480600SE +/- 0.88, N = 35691. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Swirl2 x EPYC 77635001000150020002500SE +/- 14.11, N = 323061. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: CPU2 x EPYC 7763246810SE +/- 0.11, N = 158.65MIN: 2.95 / MAX: 11.34

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: CPU2 x EPYC 7763510152025SE +/- 0.28, N = 1521.66MIN: 17.86 / MAX: 29.24

LuxCoreRender

Scene: Danish Mood - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: CPU2 x EPYC 7763246810SE +/- 0.13, N = 158.78MIN: 3.1 / MAX: 11.67

John The Ripper

Test: MD5

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD52 x EPYC 77632M4M6M8M10MSE +/- 109447.60, N = 3107633331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: Blowfish2 x EPYC 776340K80K120K160K200KSE +/- 2546.43, N = 31832341. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1M2 x EPYC 776310K20K30K40K50KSE +/- 160.51, N = 348176.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1M2 x EPYC 776312K24K36K48K60KSE +/- 101.74, N = 356612.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.32 x EPYC 77638K16K24K32K40KSE +/- 316.92, N = 336927.241. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein2 x EPYC 7763714212835SE +/- 0.38, N = 1531.331. (CXX) g++ options: -O3 -pthread -lm

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms2 x EPYC 7763816243240SE +/- 0.03, N = 335.081. (CXX) g++ options: -O3 -pthread -lm

Quantum ESPRESSO

Input: AUSURF112

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF1122 x EPYC 77632004006008001000SE +/- 6.05, N = 3973.021. (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

OpenFOAM

Input: Motorbike 60M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60M2 x EPYC 776320406080100SE +/- 0.25, N = 390.141. (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 30M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30M2 x EPYC 776348121620SE +/- 0.10, N = 314.901. (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

Xcompact3d Incompact3d

Input: input.i3d 193 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per Direction2 x EPYC 77633691215SE +/- 0.02, N = 411.091. (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: X3D-benchmarking input.i3d

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3d2 x EPYC 776360120180240300SE +/- 0.12, N = 3297.671. (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

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 Buckyball2 x EPYC 77634008001200160020001837.91. (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

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbig2 x EPYC 77631.17822.35643.53464.71285.891SE +/- 0.035443, N = 55.2365541. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.22 x EPYC 7763400M800M1200M1600M2000MSE +/- 1375840.15, N = 319254586671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

toyBrot Fractal Generator

Implementation: C++ Threads

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ Threads2 x EPYC 77638001600240032004000SE +/- 17.86, N = 936791. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc

toyBrot Fractal Generator

Implementation: C++ Tasks

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ Tasks2 x EPYC 77638001600240032004000SE +/- 19.33, N = 838671. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc

toyBrot Fractal Generator

Implementation: OpenMP

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMP2 x EPYC 77639001800270036004500SE +/- 37.08, N = 1543271. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc

toyBrot Fractal Generator

Implementation: TBB

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBB2 x EPYC 77637001400210028003500SE +/- 28.86, N = 934931. (CXX) g++ options: -O3 -lpthread -lm -lgcc -lgcc_s -lc

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms2 x EPYC 77630.05050.1010.15150.2020.2525SE +/- 0.00164, N = 40.22456

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster2 x EPYC 7763246810SE +/- 0.116, N = 157.4891. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver2 x EPYC 7763246810SE +/- 0.018, N = 76.1881. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte2 x EPYC 77631224364860SE +/- 0.40, N = 351.621. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD2 x EPYC 7763612182430SE +/- 0.13, N = 323.661. (CXX) g++ options: -O2 -lOpenCL

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: Small2 x EPYC 77636K12K18K24K30KSE +/- 245.68, N = 426535.11. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.C2 x EPYC 776320K40K60K80K100KSE +/- 481.83, N = 4116234.761. (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.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x EPYC 776330K60K90K120K150KSE +/- 1012.24, N = 7149338.711. (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.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C2 x EPYC 776320K40K60K80K100KSE +/- 385.78, N = 7102771.231. (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.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C2 x EPYC 776360K120K180K240K300KSE +/- 807.48, N = 5288799.041. (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.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.D2 x EPYC 776310002000300040005000SE +/- 25.73, N = 54460.841. (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.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C2 x EPYC 776330K60K90K120K150KSE +/- 403.59, N = 6120440.041. (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.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D2 x EPYC 77632K4K6K8K10KSE +/- 22.40, N = 410736.771. (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.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C2 x EPYC 77632K4K6K8K10KSE +/- 71.60, N = 159537.231. (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.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.C2 x EPYC 776310K20K30K40K50KSE +/- 478.32, N = 648175.521. (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: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C2 x EPYC 776360K120K180K240K300KSE +/- 222.22, N = 4257264.241. (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

TensorFlow Lite

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.2502.8561.7OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2020-08-23CPU Power Consumption Monitor140280420560700

GROMACS

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.1450.9560.0OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2021.2CPU Power Consumption Monitor140280420560700

GROMACS

Implementation: MPI CPU - Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021.2Implementation: MPI CPU - Input: water_GMX50_bare2 x EPYC 77630.0050.010.0150.020.0250.022

ASKAP

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.3177.5357.6OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor100200300400500

ASKAP

Test: Hogbom Clean OpenMP

OpenBenchmarking.orgIterations Per Second Per Watt, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMP2 x EPYC 77630.40640.81281.21921.62562.0321.806

ASKAP

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.7158.4269.0OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor70140210280350

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - Degridding2 x EPYC 776391827364537.78

ASKAP

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6387.9562.8OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor140280420560700

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - Gridding2 x EPYC 7763306090120150123.01

ASKAP

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor2 x EPYC 776390180270360450Min: 81.41 / Avg: 239.93 / Max: 479.68

ASKAP

Test: tConvolve MT - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve MT - Degridding2 x EPYC 7763102030405043.68

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.6453.5536.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor140280420560700

Liquid-DSP

Threads: 160 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 160 - Buffer Length: 256 - Filter Length: 572 x EPYC 77633M6M9M12M15M13016160.24

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.7462.2543.7OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor140280420560700

Liquid-DSP

Threads: 128 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 128 - Buffer Length: 256 - Filter Length: 572 x EPYC 77633M6M9M12M15M12615116.14

Liquid-DSP

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5334.6414.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 2021.01.31CPU Power Consumption Monitor110220330440550

Liquid-DSP

Threads: 64 - Buffer Length: 256 - Filter Length: 57

OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 2021.01.31Threads: 64 - Buffer Length: 256 - Filter Length: 572 x EPYC 77632M4M6M8M10M9297794.92

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.2157.9173.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor50100150200250

Cpuminer-Opt

Algorithm: LBC, LBRY Credits

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: LBC, LBRY Credits2 x EPYC 776370014002100280035003265.44

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.3161.0242.7OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor60120180240300

Cpuminer-Opt

Algorithm: Myriad-Groestl

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Myriad-Groestl2 x EPYC 7763300600900120015001483.20

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.1154.6171.0OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor50100150200250

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Skeincoin2 x EPYC 7763160032004800640080007272.60

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.1182.0369.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor100200300400500

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Garlicoin2 x EPYC 7763306090120150157.59

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5151.5168.6OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor50100150200250

Cpuminer-Opt

Algorithm: Blake-2 S

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Blake-2 S2 x EPYC 77636K12K18K24K30K26905.34

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6167.0232.4OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor60120180240300

Cpuminer-Opt

Algorithm: Deepcoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Deepcoin2 x EPYC 7763140280420560700671.32

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.7226.2386.5OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor100200300400500

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25x2 x EPYC 776351015202519.17

Cpuminer-Opt

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.3214.1350.9OpenBenchmarking.orgWatts, Fewer Is BetterCpuminer-Opt 3.15.5CPU Power Consumption Monitor100200300400500

Cpuminer-Opt

Algorithm: Magi

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: Magi2 x EPYC 776371421283528.49

Aircrack-ng

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.9470.3529.7OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.5.2CPU Power Consumption Monitor130260390520650

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.5.22 x EPYC 77632004006008001000881.11

OpenSSL

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.7477.9563.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 1.1.1CPU Power Consumption Monitor140280420560700

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second Per Watt, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performance2 x EPYC 7763132639526559.57

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776380.9220.7240.5OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor60120180240300

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.7181.7251.2OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor60120180240300

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.6217.2238.9OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor60120180240300

WebP2 Image Encode

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8215.8235.3OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20210126CPU Power Consumption Monitor60120180240300

Tachyon

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.4368.9558.0OpenBenchmarking.orgWatts, Fewer Is BetterTachyon 0.99b6CPU Power Consumption Monitor140280420560700

m-queens

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.1332.0510.4OpenBenchmarking.orgWatts, Fewer Is Betterm-queens 1.2CPU Power Consumption Monitor130260390520650

Helsing

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor2 x EPYC 776390180270360450Min: 81.86 / Avg: 375.12 / Max: 494.21

Timed Wasmer Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.1205.1326.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Wasmer Compilation 1.0.2CPU Power Consumption Monitor80160240320400

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.4283.2435.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.9338.2497.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor130260390520650

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.4349.2416.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.7273.1395.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8338.8499.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor130260390520650

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.4349.0416.4OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.0337.8493.7OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor130260390520650

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.8349.1415.4OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6246.0490.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor130260390520650

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.1315.1474.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor120240360480600

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8299.2562.9OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor140280420560700

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6203.9368.8OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor100200300400500

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.0289.5408.7OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor110220330440550

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.3288.6485.6OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor130260390520650

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.6238.8362.7OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor100200300400500

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.8282.5383.5OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor100200300400500

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.7238.3357.7OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor100200300400500

oneDNN

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0303.1495.0OpenBenchmarking.orgWatts, Fewer Is BetteroneDNN 2.1.2CPU Power Consumption Monitor130260390520650

rays1bench

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8182.4493.1OpenBenchmarking.orgWatts, Fewer Is Betterrays1bench 2020-01-09CPU Power Consumption Monitor130260390520650

rays1bench

Large Scene

OpenBenchmarking.orgmrays/s Per Watt, More Is Betterrays1bench 2020-01-09Large Scene2 x EPYC 77630.68331.36662.04992.73323.41653.037

YafaRay

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.4333.7418.7OpenBenchmarking.orgWatts, Fewer Is BetterYafaRay 3.4.1CPU Power Consumption Monitor110220330440550

Primesieve

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.3240.7553.9OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 7.4CPU Power Consumption Monitor140280420560700

POV-Ray

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0259.5546.6OpenBenchmarking.orgWatts, Fewer Is BetterPOV-Ray 3.7.0.7CPU Power Consumption Monitor140280420560700

C-Ray

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.5340.8559.8OpenBenchmarking.orgWatts, Fewer Is BetterC-Ray 1.1CPU Power Consumption Monitor140280420560700

Build2

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.6235.8571.8OpenBenchmarking.orgWatts, Fewer Is BetterBuild2 0.13CPU Power Consumption Monitor140280420560700

Timed PHP Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6184.8564.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 7.4.2CPU Power Consumption Monitor140280420560700

Timed Node.js Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.5346.7572.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed Node.js Compilation 15.11CPU Power Consumption Monitor140280420560700

Timed Mesa Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.2215.5573.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Mesa Compilation 21.0CPU Power Consumption Monitor140280420560700

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.4295.2571.6OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor140280420560700

Timed LLVM Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0356.3572.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed LLVM Compilation 12.0CPU Power Consumption Monitor140280420560700

Timed Linux Kernel Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5262.4574.9OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 5.10.20CPU Power Consumption Monitor140280420560700

Timed ImageMagick Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5187.9534.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed ImageMagick Compilation 6.9.0CPU Power Consumption Monitor140280420560700

Timed Godot Game Engine Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8246.4561.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3CPU Power Consumption Monitor140280420560700

Timed GDB GNU Debugger Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.9192.7573.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2CPU Power Consumption Monitor140280420560700

Timed FFmpeg Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.6230.8572.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 4.4CPU Power Consumption Monitor140280420560700

Timed Apache Compilation

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6158.5201.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Power Consumption Monitor50100150200250

libavif avifenc

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6203.1301.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 0.9.0CPU Power Consumption Monitor80160240320400

ebizzy

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.1422.3493.4OpenBenchmarking.orgWatts, Fewer Is Betterebizzy 0.3CPU Power Consumption Monitor130260390520650

ebizzy

OpenBenchmarking.orgRecords/s Per Watt, More Is Betterebizzy 0.32 x EPYC 7763160032004800640080007371.59

asmFish

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.4540.9570.8OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor140280420560700

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth2 x EPYC 7763120K240K360K480K600K543167.01

Stockfish

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.9452.3570.8OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 13CPU Power Consumption Monitor140280420560700

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 13Total Time2 x EPYC 7763150K300K450K600K750K690302.48

7-Zip Compression

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 16.02CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 81.45 / Avg: 333.51 / Max: 572.67

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 16.02Compress Speed Test2 x EPYC 7763300600900120015001494.89

Coremark

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6339.3461.2OpenBenchmarking.orgWatts, Fewer Is BetterCoremark 1.0CPU Power Consumption Monitor120240360480600

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second2 x EPYC 77632K4K6K8K10K9537.4

OpenVKL

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6173.9301.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor80160240320400

OpenVKL

Benchmark: vklBenchmarkStructuredVolume

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolume2 x EPYC 7763140K280K420K560K700K631842.95

OpenVKL

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.2166.0291.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor70140210280350

OpenVKL

Benchmark: vklBenchmarkVdbVolume

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolume2 x EPYC 776330K60K90K120K150K138628.42

OpenVKL

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 0.9CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 82.64 / Avg: 234.97 / Max: 572.93

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmark2 x EPYC 77630.57741.15481.73222.30962.8872.566

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.2317.3507.0OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor130260390520650

Intel Open Image Denoise

Run: RTLightmap.hdr.4096x4096

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RTLightmap.hdr.4096x40962 x EPYC 77630.00090.00180.00270.00360.00450.004

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.4290.9513.1OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor130260390520650

Intel Open Image Denoise

Run: RT.ldr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x21602 x EPYC 77630.0020.0040.0060.0080.010.009

Intel Open Image Denoise

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.3286.8511.9OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 1.4.0CPU Power Consumption Monitor130260390520650

Intel Open Image Denoise

Run: RT.hdr_alb_nrm.3840x2160

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x21602 x EPYC 77630.0020.0040.0060.0080.010.009

ACES DGEMM

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5341.4573.1OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption Monitor140280420560700

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point Rate2 x EPYC 77630.02520.05040.07560.10080.1260.112

x265

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0240.5308.8OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor80160240320400

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4K2 x EPYC 77630.02320.04640.06960.09280.1160.103

SVT-VP9

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776370.1156.3337.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor80160240320400

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p2 x EPYC 77630.50671.01341.52012.02682.53352.252

SVT-VP9

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.4153.2345.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor100200300400500

SVT-VP9

Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p2 x EPYC 77630.67521.35042.02562.70083.3763.001

SVT-VP9

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.6151.8343.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor80160240320400

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p2 x EPYC 77630.68221.36442.04662.72883.4113.032

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8139.7339.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor80160240320400

SVT-HEVC

Tuning: 10 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p2 x EPYC 77630.96011.92022.88033.84044.80054.267

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.4166.9377.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor100200300400500

SVT-HEVC

Tuning: 7 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p2 x EPYC 77630.45560.91121.36681.82242.2782.025

SVT-HEVC

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0352.8534.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-HEVC 1.5.0CPU Power Consumption Monitor140280420560700

SVT-HEVC

Tuning: 1 - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p2 x EPYC 77630.03510.07020.10530.14040.17550.156

SVT-AV1

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.2252.2438.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor110220330440550

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 8 - Input: Bosphorus 4K2 x EPYC 77630.05540.11080.16620.22160.2770.246

SVT-AV1

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5261.5415.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 0.8.7CPU Power Consumption Monitor110220330440550

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8.7Encoder Mode: Preset 4 - Input: Bosphorus 4K2 x EPYC 77630.00430.00860.01290.01720.02150.019

Kvazaar

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5255.8341.0OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor80160240320400

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast2 x EPYC 77630.0520.1040.1560.2080.260.231

Kvazaar

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.7310.8465.7OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.0CPU Power Consumption Monitor120240360480600

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast2 x EPYC 77630.04010.08020.12030.16040.20050.178

Embree

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.7283.5515.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon Obj2 x EPYC 77630.04680.09360.14040.18720.2340.208

Embree

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6374.3519.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon2 x EPYC 77630.04070.08140.12210.16280.20350.181

Embree

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5274.1487.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon Obj2 x EPYC 77630.04880.09760.14640.19520.2440.217

Embree

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.8362.5503.4OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor130260390520650

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon2 x EPYC 77630.04430.08860.13290.17720.22150.197

Embree

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.4373.0569.7OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crown2 x EPYC 77630.06080.12160.18240.24320.3040.27

Embree

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6365.5571.4OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 3.13CPU Power Consumption Monitor140280420560700

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Crown2 x EPYC 77630.06820.13640.20460.27280.3410.303

TTSIOD 3D Renderer

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0289.7322.1OpenBenchmarking.orgWatts, Fewer Is BetterTTSIOD 3D Renderer 2.3bCPU Power Consumption Monitor80160240320400

TTSIOD 3D Renderer

Phong Rendering With Soft-Shadow Mapping

OpenBenchmarking.orgFPS Per Watt, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow Mapping2 x EPYC 77630.40970.81941.22911.63882.04851.821

dav1d

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.0CPU Power Consumption Monitor2 x EPYC 776360120180240300Min: 73.86 / Avg: 150.62 / Max: 346.93

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.9.0Video Input: Chimera 1080p 10-bit2 x EPYC 77632468107.593

dav1d

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5181.1455.2OpenBenchmarking.orgWatts, Fewer Is Betterdav1d 0.9.0CPU Power Consumption Monitor120240360480600

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.9.0Video Input: Summer Nature 4K2 x EPYC 77630.73641.47282.20922.94563.6823.273

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.4225.7240.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor60120180240300

GraphicsMagick

Operation: HWB Color Space

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Space2 x EPYC 77630.65091.30181.95272.60363.25452.893

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.0264.7290.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor70140210280350

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussian2 x EPYC 77630.49460.98921.48381.97842.4732.198

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.6443.2476.5OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor120240360480600

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Enhanced2 x EPYC 77630.74521.49042.23562.98083.7263.312

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.4456.6493.4OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor130260390520650

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Sharpen2 x EPYC 77630.43560.87121.30681.74242.1781.936

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.1174.2181.2OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor50100150200250

GraphicsMagick

Operation: Rotate

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Rotate2 x EPYC 77630.73491.46982.20472.93963.67453.266

GraphicsMagick

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8380.3408.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.33CPU Power Consumption Monitor110220330440550

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.33Operation: Swirl2 x EPYC 77632468106.064

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5278.5414.7OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor110220330440550

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: CPU2 x EPYC 77630.01490.02980.04470.05960.07450.066

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8447.0543.0OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700

LuxCoreRender

Scene: LuxCore Benchmark - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: LuxCore Benchmark - Acceleration: CPU2 x EPYC 77630.00430.00860.01290.01720.02150.019

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.7508.3572.8OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700

LuxCoreRender

Scene: Orange Juice - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Orange Juice - Acceleration: CPU2 x EPYC 77630.00970.01940.02910.03880.04850.043

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.9465.1554.8OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700

LuxCoreRender

Scene: Danish Mood - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: Danish Mood - Acceleration: CPU2 x EPYC 77630.00430.00860.01290.01720.02150.019

LuxCoreRender

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.6507.1570.4OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.5CPU Power Consumption Monitor140280420560700

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: CPU2 x EPYC 77630.00630.01260.01890.02520.03150.028

John The Ripper

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.7484.7545.0OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor140280420560700

John The Ripper

Test: MD5

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD52 x EPYC 77635K10K15K20K25K22207.25

John The Ripper

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.9482.8554.4OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 1.9.0-jumbo-1CPU Power Consumption Monitor140280420560700

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: Blowfish2 x EPYC 776380160240320400379.49

Xmrig

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0445.2541.0OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor140280420560700

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1M2 x EPYC 776320406080100108.21

Xmrig

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.3454.6568.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.12.1CPU Power Consumption Monitor140280420560700

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1M2 x EPYC 7763306090120150124.54

LULESH

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.4358.0529.1OpenBenchmarking.orgWatts, Fewer Is BetterLULESH 2.0.3CPU Power Consumption Monitor130260390520650

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.32 x EPYC 776320406080100103.14

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8211.3443.5OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor120240360480600

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein2 x EPYC 77630.03330.06660.09990.13320.16650.148

LAMMPS Molecular Dynamics Simulator

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.7485.8505.0OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020CPU Power Consumption Monitor130260390520650

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms2 x EPYC 77630.01620.03240.04860.06480.0810.072

Quantum ESPRESSO

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterQuantum ESPRESSO 6.7CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 82.2 / Avg: 321.72 / Max: 538.01

OpenFOAM

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.6324.4465.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor120240360480600

OpenFOAM

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0316.0525.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenFOAM 8CPU Power Consumption Monitor130260390520650

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776383.1346.6466.9OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor120240360480600

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.4258.4471.5OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor120240360480600

Xcompact3d Incompact3d

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.4455.7495.3OpenBenchmarking.orgWatts, Fewer Is BetterXcompact3d Incompact3d 2021-03-11CPU Power Consumption Monitor130260390520650

NWChem

CPU Power Consumption Monitor

OpenBenchmarking.orgWatts, Fewer Is BetterNWChem 7.0.2CPU Power Consumption Monitor2 x EPYC 7763100200300400500Min: 83.05 / Avg: 453.84 / Max: 553.99

Pennant

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0285.2542.5OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor140280420560700

Pennant

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5310.2513.6OpenBenchmarking.orgWatts, Fewer Is BetterPennant 1.0.1CPU Power Consumption Monitor130260390520650

Algebraic Multi-Grid Benchmark

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6382.3488.8OpenBenchmarking.orgWatts, Fewer Is BetterAlgebraic Multi-Grid Benchmark 1.2CPU Power Consumption Monitor130260390520650

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.22 x EPYC 77631.1M2.2M3.3M4.4M5.5M5036688.65

toyBrot Fractal Generator

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.9295.5562.8OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700

toyBrot Fractal Generator

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.5293.2564.1OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700

toyBrot Fractal Generator

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.3293.6568.7OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700

toyBrot Fractal Generator

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8296.6565.7OpenBenchmarking.orgWatts, Fewer Is BettertoyBrot Fractal Generator 2020-11-18CPU Power Consumption Monitor140280420560700

NAMD

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0438.4560.9OpenBenchmarking.orgWatts, Fewer Is BetterNAMD 2.14CPU Power Consumption Monitor140280420560700

Rodinia

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8219.6335.5OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor80160240320400

Rodinia

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.1241.5412.8OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor110220330440550

Rodinia

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.9254.2283.5OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor70140210280350

Rodinia

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.2395.2538.1OpenBenchmarking.orgWatts, Fewer Is BetterRodinia 3.1CPU Power Consumption Monitor140280420560700

CloverLeaf

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.2330.6406.6OpenBenchmarking.orgWatts, Fewer Is BetterCloverLeafCPU Power Consumption Monitor110220330440550

miniFE

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5270.8422.0OpenBenchmarking.orgWatts, Fewer Is BetterminiFE 2.2CPU Power Consumption Monitor110220330440550

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: Small2 x EPYC 77632040608010098.00

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.8379.6503.4OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: SP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.C2 x EPYC 776370140210280350306.24

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.5266.4543.7OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.B2 x EPYC 7763120240360480600560.65

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.3224.4439.8OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.C2 x EPYC 7763100200300400500457.92

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.7342.9525.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.C2 x EPYC 77632004006008001000842.20

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.6314.5521.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.D2 x EPYC 77634812162014.19

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.4285.6515.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.C2 x EPYC 776390180270360450421.74

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.6392.2521.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor130260390520650

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.D2 x EPYC 776361218243027.38

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776381.7215.7482.5OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.C2 x EPYC 7763102030405044.21

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776382.0257.2474.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor120240360480600

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.C2 x EPYC 77634080120160200187.33

NAS Parallel Benchmarks

CPU Power Consumption Monitor

MinAvgMax2 x EPYC 776379.7383.8541.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor140280420560700

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.C2 x EPYC 7763140280420560700670.35

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet2 x EPYC 776311K22K33K44K55KSE +/- 1660.91, N = 1253389.4

ASKAP

Test: tConvolve MT - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - Degridding2 x EPYC 77632K4K6K8K10KSE +/- 390.12, N = 310480.311. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Cpuminer-Opt

Algorithm: Myriad-Groestl

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Myriad-Groestl2 x EPYC 776350K100K150K200K250KSE +/- 53782.51, N = 122387801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Cpuminer-Opt

Algorithm: Blake-2 S

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: Blake-2 S2 x EPYC 7763900K1800K2700K3600K4500KSE +/- 213346.66, N = 1540770531. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Helsing

Digit Range: 14 digit

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digit2 x EPYC 7763306090120150SE +/- 9.54, N = 12122.851. (CC) gcc options: -O2 -pthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU2 x EPYC 776330060090012001500SE +/- 26.52, N = 151385.48MIN: 1048.291. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU2 x EPYC 776330060090012001500SE +/- 25.48, N = 151332.19MIN: 1053.761. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU2 x EPYC 776330060090012001500SE +/- 108.05, N = 121464.79MIN: 1046.771. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.16430.32860.49290.65720.8215SE +/- 0.012353, N = 150.730205MIN: 0.521. (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.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU2 x EPYC 77630.1910.3820.5730.7640.955SE +/- 0.037340, N = 150.848820MIN: 0.411. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

TTSIOD 3D Renderer

Phong Rendering With Soft-Shadow Mapping

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow Mapping2 x EPYC 7763110220330440550SE +/- 11.48, N = 15527.531. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

LuxCoreRender

Scene: Rainbow Colors and Prism - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: Rainbow Colors and Prism - Acceleration: CPU2 x EPYC 7763510152025SE +/- 0.90, N = 1518.40MIN: 14.52 / MAX: 25.25

LuxCoreRender

Scene: DLSC - Acceleration: CPU

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.5Scene: DLSC - Acceleration: CPU2 x EPYC 776348121620SE +/- 0.33, N = 1514.33MIN: 11.8 / MAX: 18.81

Xcompact3d Incompact3d

Input: input.i3d 129 Cells Per Direction

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 129 Cells Per Direction2 x EPYC 77630.61271.22541.83812.45083.0635SE +/- 0.05008949, N = 152.722974191. (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

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbig2 x EPYC 77630.75211.50422.25633.00843.7605SE +/- 0.062888, N = 153.3424981. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian Hydrodynamics2 x EPYC 776348121620SE +/- 0.42, N = 1516.121. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Phoronix Test Suite v10.8.4