EPYC 2021 Benchmarks

Tests for a future article.

HTML result view exported from: https://openbenchmarking.org/result/2102202-HA-EPYCB627828&grr&sor.

EPYC 2021 BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads)ASRockRack EPYCD8 (P2.40 BIOS)AMD Starship/Matisse8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E13841GB Micron_9300_MTFDHAL3T8TDPllvmpipeVE2282 x Intel I350Ubuntu 20.045.11.0-051100rc6daily20210201-generic (x86_64) 20210131GNOME Shell 3.36.4X Server 1.20.8llvmpipe4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits)GCC 9.3.0ext41920x1080AMD EPYC 7402P 24-Core @ 2.80GHz (24 Cores / 48 Threads)AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads)AMD EPYC 7232P 8-Core @ 3.10GHz (8 Cores / 16 Threads)AMD EPYC 7552 48-Core @ 2.20GHz (48 Cores / 96 Threads)AMD EPYC 7272 12-Core @ 2.90GHz (12 Cores / 24 Threads)AMD EPYC 7662 64-Core @ 2.00GHz (64 Cores / 128 Threads)AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads)AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads)7 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1AMD EPYC 7542 32-Core @ 2.90GHz (32 Cores / 64 Threads)8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1AMD EPYC 7282 16-Core @ 2.80GHz (16 Cores / 32 Threads)AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)AMD EPYC 7532 32-Core @ 2.40GHz (32 Cores / 64 Threads)AMD EPYC 7642 48-Core @ 2.30GHz (48 Cores / 96 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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-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 -vDisk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Details- EPYC 7702: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7402P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7302P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7232P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7552: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7272: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7662: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7502P: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7F52: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7542: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7282: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7F32: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7532: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7642: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Details- Python 3.8.5Security Details- 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 2021 Benchmarksqe: AUSURF112nwchem: C240 Buckyballrenaissance: Akka Unbalanced Cobwebbed Treelczero: Eigenlammps: 20k Atomslczero: BLASrenaissance: Apache Spark PageRankrenaissance: Rand Forestwebp2: Quality 100, Lossless Compressioncaffe: GoogleNet - CPU - 200fftw: Float + SSE - 2D FFT Size 4096build-llvm: Time To Compileopenfoam: Motorbike 60Mblogbench: Readplaidml: No - Inference - ResNet 50 - CPUopenvkl: vklBenchmarkhint: FLOATai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scorecryptopp: Keyed Algorithmsblender: Barbershop - CPU-Onlyrenaissance: In-Memory Database Shootoutjpegxl: PNG - 8onnx: super-resolution-10 - OpenMP CPUwireguard: webp2: Quality 95, Compression Effort 7brl-cad: VGR Performance Metricnumpy: ngspice: C7552blender: Pabellon Barcelona - CPU-Onlygcrypt: ecp-candle: P3B2cryptopp: Integer + Elliptic Curve Public Key Algorithmsincompact3d: Cylinderonnx: shufflenet-v2-10 - OpenMP CPUtinymembench: Standard Memsettinymembench: Standard Memcpyonnx: bertsquad-10 - OpenMP CPUblender: Classroom - CPU-Onlypolyhedron: tfft2radiance: Serialmocassin: Dust 2D tau100.0hpcg: ngspice: C2670ecp-candle: P3B1mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0polyhedron: fatigue2daphne: OpenMP - Points2Imagefftw: Float + SSE - 2D FFT Size 2048ncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - vgg16ncnn: CPU - mobilenetcaffe: AlexNet - CPU - 200asmfish: 1024 Hash Memory, 26 Depthrenaissance: Scala Dottywebp2: Quality 75, Compression Effort 7ncnn: CPU - resnet18ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2appleseed: Emilyyafaray: Total Time For Sample Sceneonnx: fcn-resnet101-11 - OpenMP CPUhmmer: Pfam Database Searchospray: San Miguel - Path Tracergpaw: Carbon Nanotubencnn: CPU-v2-v2-v2 - regnety_400mncnn: CPU-v2-v2-v2 - squeezenet_ssdncnn: CPU-v2-v2-v2 - yolov4-tinyncnn: CPU-v2-v2-v2 - resnet50ncnn: CPU-v2-v2-v2 - alexnetncnn: CPU-v2-v2-v2 - resnet18ncnn: CPU-v2-v2-v2 - vgg16ncnn: CPU-v2-v2-v2 - googlenetncnn: CPU-v2-v2-v2 - blazefacencnn: CPU-v2-v2-v2 - efficientnet-b0ncnn: CPU-v2-v2-v2 - mnasnetncnn: CPU-v2-v2-v2 - shufflenet-v2ncnn: CPU-v2-v2-v2-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2-v2-v2-v2 - mobilenet-v2ncnn: CPU-v2-v2-v2 - mobilenetrodinia: OpenMP Leukocytencnn: CPU-v3-v3-v3 - regnety_400mncnn: CPU-v3-v3-v3 - squeezenet_ssdncnn: CPU-v3-v3-v3 - yolov4-tinyncnn: CPU-v3-v3-v3 - resnet50ncnn: CPU-v3-v3-v3 - alexnetncnn: CPU-v3-v3-v3 - resnet18ncnn: CPU-v3-v3-v3 - vgg16ncnn: CPU-v3-v3-v3 - googlenetncnn: CPU-v3-v3-v3 - blazefacencnn: CPU-v3-v3-v3 - efficientnet-b0ncnn: CPU-v3-v3-v3 - mnasnetncnn: CPU-v3-v3-v3 - shufflenet-v2ncnn: CPU-v3-v3-v3-v3-v3 - mobilenet-v3ncnn: CPU-v3-v3-v3-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3-v3 - mobilenetminion: Quasigroupappleseed: Material Testerrodinia: OpenMP LavaMDrenaissance: Genetic Algorithm Using Jenetics + Futuresplaidml: No - Inference - VGG19 - CPUonnx: yolov4 - OpenMP CPUastcenc: Exhaustivestress-ng: CPU Cachev-ray: CPUblender: Fishy Cat - CPU-Onlyrodinia: OpenMP HotSpot3Dcompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedblosc: blosclzrocksdb: Seq Fillcassandra: Writescpuminer-opt: Garlicoinplaidml: No - Inference - VGG16 - CPUcpuminer-opt: Deepcoindav1d: Chimera 1080p 10-bitnumenta-nab: Earthgecko Skylinetensorflow-lite: NASNet Mobilefinancebench: Bonds OpenMPjpegxl: PNG - 7build-eigen: Time To Compilev-ray: CPUmrbayes: Primate Phylogeny Analysisnpb: EP.Dmbw: Memory Copy, Fixed Block Size - 8192 MiBcouchdb: 100 - 1000 - 24montage: Mosaic of M17, K band, 1.5 deg x 1.5 degbuild-gdb: Time To Compileinfluxdb: 4 - 10000 - 2,5000,1 - 10000ospray: XFrog Forest - Path Tracerbuild-godot: Time To Compileblender: BMW27 - CPU-Onlygromacs: Water Benchmarktensorflow-lite: Inception ResNet V2build2: Time To Compileinfluxdb: 64 - 10000 - 2,5000,1 - 10000tensorflow-lite: Inception V4gnupg: 2.7GB Sample File Encryptionappleseed: Disney Materialkripke: gromacs: water_GMX50_bareparboil: OpenMP MRI Griddingonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUrocksdb: Read While Writingminion: Solitairejpegxl-decode: 1openvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUcpuminer-opt: Skeincoinrocksdb: Rand Fillsqlite-speedtest: Timed Time - Size 1,000onednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUperl-benchmark: Pod2htmlcoremark: CoreMark Size 666 - Iterations Per Secondhimeno: Poisson Pressure Solverrenaissance: Twitter HTTP Requestspyperformance: python_startupcpuminer-opt: x25xcompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedpgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Writestockfish: Total Timeradiance: SMP Parallelopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUkeydb: openvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUcryptopp: Unkeyed Algorithmspolyhedron: rnflowrocksdb: Rand Readopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUindigobench: CPU - Bedroombuild-linux-kernel: Time To Compileindigobench: CPU - Supercarluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismkvazaar: Bosphorus 4K - Mediumtensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quantrocksdb: Rand Fill Syncjohn-the-ripper: MD5simdjson: LargeRandrav1e: 5financebench: Repo OpenMPrawtherapee: Total Benchmark Timenamd: ATPase Simulation - 327,506 Atomsdeepspeech: CPUmbw: Memory Copy - 8192 MiBbasis: ETC1Ssimdjson: PartialTweetssimdjson: DistinctUserIDhugin: Panorama Photo Assistant + Stitching Timepolyhedron: proteinredis: SADDopenfoam: Motorbike 30Msimdjson: Kostyaminion: Gracefulperl-benchmark: Interpreterbuild-php: Time To Compileospray: XFrog Forest - SciVispgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writeredis: SETespeak: Text-To-Speech Synthesisjpegxl-decode: Alltachyon: Total Timeredis: GETcompress-7zip: Compress Speed Testredis: LPUSHrav1e: 6mt-dgemm: Sustained Floating-Point Ratecompress-zstd: 19webp: Quality 100, Lossless, Highest Compressionnpb: BT.Caobench: 2048 x 2048 - Total Timepyperformance: regex_compileospray: San Miguel - SciVisquantlib: askap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingm-queens: Time To Solvephpbench: PHP Benchmark Suitebuild-ffmpeg: Time To Compilelibraw: Post-Processing Benchmarkpolyhedron: aermodbasis: UASTC Level 3etcpak: ETC2pgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlynumenta-nab: Bayesian Changepointminife: Smallstress-ng: Socket Activityparboil: OpenMP LBMpyperformance: pathlibc-ray: Total Time - 4K, 16 Rays Per Pixelospray: NASA Streamlines - Path Tracernpb: LU.Conednn: Deconvolution Batch shapes_1d - f32 - CPUx265: Bosphorus 4Kaom-av1: Speed 6 Two-Passpennant: sedovbigebizzy: compress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedttsiod-renderer: Phong Rendering With Soft-Shadow Mappingaom-av1: Speed 6 Realtimenpb: IS.Drav1e: 10compress-zstd: 3stress-ng: CPU Stressjohn-the-ripper: Blowfishaircrack-ng: stress-ng: Cryptostress-ng: Context Switchingstress-ng: Matrix Mathstress-ng: Vector Mathsynthmark: VoiceMark_100parboil: OpenMP Stencildaphne: OpenMP - NDT Mappingcloverleaf: Lagrangian-Eulerian Hydrodynamicstoybrot: C++ Taskscrafty: Elapsed Timetoybrot: OpenMPtoybrot: C++ Threadstoybrot: TBBpovray: Trace Timepyperformance: django_templatedacapobench: Tradesoapcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9polyhedron: linpktungsten: Water Causticpybench: Total For Average Test Timespyperformance: nbodylulesh: pyperformance: floatpyperformance: crypto_pyaeskvazaar: Bosphorus 4K - Very Fastbuild-apache: Time To Compilestream-dynamic: - Triadstream-dynamic: - Addstream-dynamic: - Scalestream-dynamic: - Copyswet: Averagepennant: leblancbigamg: rsvg: SVG Files To PNGbotan: AES-256tnn: CPU - MobileNet v2build-mplayer: Time To Compilebasis: UASTC Level 2jpegxl: JPEG - 5daphne: OpenMP - Euclidean Clusteraom-av1: Speed 4 Two-Passastcenc: Thoroughbuild-imagemagick: Time To Compileocrmypdf: Processing 60 Page PDF Documentscikit-learn: rodinia: OpenMP Streamclusteretcpak: ETC1 + Ditheringtnn: CPU - SqueezeNet v1.1onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUsvt-av1: Enc Mode 4 - 1080petcpak: ETC1webp: Quality 100, Losslessospray: Magnetic Reconnection - SciVisnumenta-nab: Relative Entropydolfyn: Computational Fluid Dynamicsbotan: Blowfishonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUbotan: Twofishaom-av1: Speed 8 Realtimeonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUbotan: CAST-256botan: KASUMIrodinia: OpenMP CFD Solveroidn: Memorialaskap: Hogbom Clean OpenMPonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUsysbench: Memorytungsten: Hairaskap: tConvolve OpenMP - Degriddingaskap: tConvolve OpenMP - Griddingjpegxl: PNG - 5kvazaar: Bosphorus 4K - Ultra Fastjpegxl: JPEG - 7neat: stream: Copynpb: CG.Cnpb: FT.Cwebp2: Quality 100, Compression Effort 5npb: SP.Bdacapobench: Tradebeanssysbench: CPUmafft: Multiple Sequence Alignment - LSU RNAsvt-av1: Enc Mode 8 - 1080prays1bench: Large Scenebasis: UASTC Level 0webp: Quality 100, Highest Compressiononednn: IP Shapes 3D - u8s8f32 - CPUdacapobench: H2onednn: IP Shapes 3D - f32 - CPUospray: NASA Streamlines - SciVisjpegxl: JPEG - 8dav1d: Chimera 1080pastcenc: Mediumonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUnumenta-nab: Windowed Gaussianonednn: Convolution Batch Shapes Auto - f32 - CPUtjbench: Decompression Throughputfftw: Float + SSE - 1D FFT Size 4096ecp-candle: P1B2dav1d: Summer Nature 4Kastcenc: Fasttungsten: Volumetric Causticdacapobench: Jythonsvt-vp9: Visual Quality Optimized - Bosphorus 1080pn-queens: Elapsed Timetungsten: Non-Exponentialnpb: EP.Cx264: H.264 Video Encodingnpb: MG.Cetcpak: DXT1ffte: N=256, 3D Complex FFT Routineonednn: Deconvolution Batch shapes_3d - f32 - CPUwebp: Quality 100onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUlammps: Rhodopsin Proteinsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pparboil: OpenMP CUTCPtscp: AI Chess Performancedav1d: Summer Nature 1080pctx-clock: Context Switch Timestream: Triadstream: Addstream: Scaleblogbench: WriteEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 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Quantum ESPRESSO

Input: AUSURF112

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112EPYC 7702EPYC 7662EPYC 7542EPYC 7552EPYC 7402PEPYC 7F32EPYC 7F52EPYC 7642EPYC 7502PEPYC 7302PEPYC 7532EPYC 7282EPYC 7272EPYC 7232P400800120016002000SE +/- 1.52, N = 3SE +/- 1.64, N = 3SE +/- 3.48, N = 3SE +/- 16.58, N = 4SE +/- 1.29, N = 3SE +/- 0.33, N = 3SE +/- 11.50, N = 3SE +/- 22.87, N = 9SE +/- 5.50, N = 3SE +/- 5.19, N = 3SE +/- 6.34, N = 3SE +/- 4.40, N = 3SE +/- 1.18, N = 3SE +/- 0.83, N = 31208.311216.501317.271329.901342.141356.261357.301372.731386.781403.521403.871456.821520.431656.881. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

NWChem

Input: C240 Buckyball

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 7662EPYC 7702EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 72722K4K6K8K10K2220.72247.02716.73653.63653.93678.84709.55684.66676.47056.08844.11. (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 -lcomex -lm -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

Renaissance

Test: Akka Unbalanced Cobwebbed Tree

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeEPYC 7302PEPYC 7402PEPYC 77024K8K12K16K20KSE +/- 109.57, N = 9SE +/- 112.86, N = 15SE +/- 118.92, N = 513564.1714033.7019829.41

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7532EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P6001200180024003000SE +/- 26.03, N = 3SE +/- 29.49, N = 9SE +/- 37.70, N = 9SE +/- 31.31, N = 9SE +/- 20.90, N = 3SE +/- 17.43, N = 5SE +/- 9.84, N = 3SE +/- 14.82, N = 9SE +/- 5.90, N = 3SE +/- 12.27, N = 9SE +/- 16.37, N = 9SE +/- 11.49, N = 9SE +/- 11.79, N = 9SE +/- 8.88, N = 32686240823111927176916991617153914391233110410519256811. (CXX) g++ options: -flto -pthread

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P612182430SE +/- 0.056, N = 3SE +/- 0.024, N = 3SE +/- 0.029, N = 3SE +/- 0.112, N = 3SE +/- 0.062, N = 3SE +/- 0.059, N = 3SE +/- 0.016, N = 3SE +/- 0.010, N = 3SE +/- 0.053, N = 3SE +/- 0.009, N = 3SE +/- 0.021, N = 3SE +/- 0.023, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 325.20624.81822.44222.04618.15617.61417.52514.90711.75710.6029.8897.7376.7055.4061. (CXX) g++ options: -O3 -pthread -lm

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7F52EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P6001200180024003000SE +/- 14.38, N = 3SE +/- 41.44, N = 9SE +/- 26.91, N = 3SE +/- 27.18, N = 3SE +/- 31.35, N = 9SE +/- 22.27, N = 9SE +/- 20.09, N = 3SE +/- 23.71, N = 9SE +/- 20.26, N = 3SE +/- 13.76, N = 9SE +/- 22.57, N = 9SE +/- 3.71, N = 3SE +/- 7.54, N = 3SE +/- 4.36, N = 32699237622031969175817351666155915211253105210429467471. (CXX) g++ options: -flto -pthread

Renaissance

Test: Apache Spark PageRank

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankEPYC 7402PEPYC 7302PEPYC 77029001800270036004500SE +/- 44.65, N = 25SE +/- 38.13, N = 25SE +/- 44.71, N = 53856.013992.304023.97

Renaissance

Test: Random Forest

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestEPYC 7402PEPYC 7702EPYC 7302P5001000150020002500SE +/- 16.12, N = 25SE +/- 16.39, N = 5SE +/- 14.97, N = 252059.092114.382167.67

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Lossless CompressionEPYC 7502PEPYC 7542EPYC 7402PEPYC 7642EPYC 7662EPYC 7532EPYC 7F52EPYC 7552EPYC 7702EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P2004006008001000SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.25, N = 3SE +/- 0.22, N = 3SE +/- 0.41, N = 3SE +/- 0.13, N = 3SE +/- 0.50, N = 3SE +/- 0.09, N = 3SE +/- 2.26, N = 3SE +/- 1.69, N = 3SE +/- 0.30, N = 3SE +/- 0.80, N = 3SE +/- 0.43, N = 3SE +/- 0.56, N = 3467.43467.51467.70473.76474.55474.59475.39481.50481.95562.07580.07680.90778.66954.801. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7F32EPYC 7662EPYC 7702EPYC 7232PEPYC 7272EPYC 7F52EPYC 7302PEPYC 7282EPYC 7402PEPYC 7552EPYC 7542EPYC 7502PEPYC 7642EPYC 753290K180K270K360K450KSE +/- 95.91, N = 3SE +/- 1226.45, N = 3SE +/- 730.51, N = 3SE +/- 533.40, N = 3SE +/- 226.68, N = 3SE +/- 1699.46, N = 3SE +/- 60.14, N = 3SE +/- 456.29, N = 3SE +/- 338.07, N = 3SE +/- 18239.03, N = 9SE +/- 147.16, N = 3SE +/- 440.86, N = 3SE +/- 10886.13, N = 9SE +/- 422.64, N = 33401683456263474843690273783673820203871733886993910153996104116814279674298754419781. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

FFTW

Build: Float + SSE - Size: 2D FFT Size 4096

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7662EPYC 7502PEPYC 7402PEPYC 7642EPYC 7302PEPYC 7282EPYC 7532EPYC 7552EPYC 7272EPYC 7232P4K8K12K16K20KSE +/- 146.33, N = 3SE +/- 233.09, N = 3SE +/- 37.78, N = 3SE +/- 52.30, N = 3SE +/- 32.36, N = 3SE +/- 33.50, N = 3SE +/- 31.25, N = 3SE +/- 142.34, N = 3SE +/- 28.18, N = 3SE +/- 49.84, N = 3SE +/- 135.81, N = 9SE +/- 159.60, N = 7SE +/- 167.66, N = 3SE +/- 181.85, N = 319037190361804717793176811766417644176091760017559173081709016820147131. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P160320480640800SE +/- 0.89, N = 3SE +/- 1.73, N = 3SE +/- 1.29, N = 3SE +/- 1.44, N = 3SE +/- 1.12, N = 3SE +/- 1.56, N = 3SE +/- 2.29, N = 3SE +/- 3.16, N = 9SE +/- 2.67, N = 3SE +/- 5.04, N = 4SE +/- 3.68, N = 3SE +/- 0.47, N = 3SE +/- 0.89, N = 3SE +/- 2.05, N = 3233.51234.21243.92245.40275.35280.78289.36312.70343.39404.33440.00529.62581.30763.56

OpenFOAM

Input: Motorbike 60M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MEPYC 7662EPYC 7702EPYC 7642EPYC 7532EPYC 7552EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F32EPYC 7F52EPYC 7282EPYC 7272EPYC 7232P120240360480600SE +/- 0.24, N = 3SE +/- 0.04, N = 3SE +/- 0.31, N = 3SE +/- 0.57, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.59, N = 3SE +/- 0.44, N = 3SE +/- 0.36, N = 3SE +/- 1.71, N = 3SE +/- 0.84, N = 3SE +/- 1.13, N = 3SE +/- 0.29, N = 3232.98233.34233.73236.99260.78313.64314.06319.87320.20362.74454.84520.45530.10573.041. (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

BlogBench

Test: Read

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadEPYC 7282EPYC 7272EPYC 7402PEPYC 7502PEPYC 7232PEPYC 7542EPYC 7302PEPYC 7F32EPYC 7552EPYC 7F52EPYC 7532EPYC 7642EPYC 7662EPYC 7702400K800K1200K1600K2000KSE +/- 12175.94, N = 3SE +/- 20232.46, N = 3SE +/- 7805.03, N = 3SE +/- 7760.40, N = 3SE +/- 16960.13, N = 3SE +/- 7106.01, N = 3SE +/- 7235.14, N = 3SE +/- 14389.61, N = 3SE +/- 4883.16, N = 3SE +/- 13461.20, N = 3SE +/- 13194.50, N = 3SE +/- 14031.09, N = 3SE +/- 9874.65, N = 3SE +/- 10548.76, N = 3204303720231801959615195008019444961923368189842817720371771624167651616360921583350139747513729551. (CC) gcc options: -O2 -pthread

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7662EPYC 7642EPYC 7532EPYC 7402PEPYC 7552EPYC 7302PEPYC 7282EPYC 7702EPYC 7272EPYC 7232P1.34782.69564.04345.39126.739SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 35.995.965.845.765.765.725.715.685.675.675.575.565.535.17

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P110220330440550SE +/- 1.00, N = 3SE +/- 1.86, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 1.15, N = 350449244135933732827922219218614211696MIN: 1 / MAX: 1715MIN: 1 / MAX: 1688MIN: 1 / MAX: 1539MIN: 1 / MAX: 1250MIN: 1 / MAX: 1172MIN: 1 / MAX: 1145MIN: 1 / MAX: 983MIN: 1 / MAX: 779MIN: 1 / MAX: 672MIN: 1 / MAX: 658MIN: 1 / MAX: 507MIN: 1 / MAX: 413MIN: 1 / MAX: 343

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7F32EPYC 7F52EPYC 7542EPYC 7402PEPYC 7502PEPYC 7702EPYC 7532EPYC 7552EPYC 7662EPYC 7302PEPYC 7272EPYC 7232PEPYC 728270M140M210M280M350MSE +/- 60046.42, N = 3SE +/- 33906.80, N = 3SE +/- 40543.01, N = 3SE +/- 465752.47, N = 3SE +/- 131222.60, N = 3SE +/- 320354.97, N = 3SE +/- 12833.10, N = 3SE +/- 234513.76, N = 3SE +/- 136985.64, N = 3SE +/- 206566.86, N = 3SE +/- 380619.49, N = 3SE +/- 333820.85, N = 3SE +/- 38644.36, N = 3346733990.00346505619.64302406827.18297827555.09297816529.28297478250.43293437386.11293216264.80293169027.15292597759.78284710986.66284332324.15283588722.341. (CC) gcc options: -O3 -march=native -lm

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7542EPYC 7642EPYC 7532EPYC 7502PEPYC 7402PEPYC 7552EPYC 7662EPYC 7302PEPYC 7702EPYC 7282EPYC 7272EPYC 7F52EPYC 7F32EPYC 7232P800160024003200400036413528351835103472339733413119308929222679261524742206

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreEPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7302PEPYC 7642EPYC 7282EPYC 7552EPYC 7272EPYC 7662EPYC 7F32EPYC 7F52EPYC 7702EPYC 7232P3006009001200150015461534148814751459140313841348130712191173115911241094

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreEPYC 7642EPYC 7662EPYC 7542EPYC 7552EPYC 7532EPYC 7502PEPYC 7702EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P500100015002000250021252122210720492043202219651926166015381456137213011112

Crypto++

Test: Keyed Algorithms

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsEPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7502PEPYC 7402PEPYC 7532EPYC 7552EPYC 7302PEPYC 7662EPYC 7642EPYC 7272EPYC 7232PEPYC 7282140280420560700SE +/- 0.14, N = 3SE +/- 0.29, N = 3SE +/- 0.77, N = 3SE +/- 0.06, N = 3SE +/- 0.31, N = 3SE +/- 0.56, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.63, N = 3SE +/- 0.31, N = 3SE +/- 0.07, N = 3SE +/- 0.59, N = 3SE +/- 0.21, N = 3628.21627.44546.72539.45539.17538.09531.14530.80530.36529.62529.60514.85513.65513.601. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P2004006008001000SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.31, N = 3SE +/- 0.07, N = 3SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.35, N = 3SE +/- 0.69, N = 3SE +/- 0.25, N = 3SE +/- 0.65, N = 3SE +/- 1.20, N = 3SE +/- 0.11, N = 3SE +/- 0.62, N = 3154.23154.42179.18180.94223.08237.65243.58291.52356.90411.56432.92554.64683.81866.85

Renaissance

Test: In-Memory Database Shootout

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutEPYC 7302PEPYC 7402PEPYC 770211002200330044005500SE +/- 58.56, N = 8SE +/- 31.07, N = 25SE +/- 22.10, N = 54254.654340.285000.14

JPEG XL

Input: PNG - Encode Speed: 8

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 8EPYC 7F32EPYC 7F52EPYC 7542EPYC 7532EPYC 7502PEPYC 72820.17780.35560.53340.71120.889SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.790.790.710.690.690.661. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

ONNX Runtime

Model: super-resolution-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUEPYC 7F52EPYC 7542EPYC 7402PEPYC 7532EPYC 7502PEPYC 7552EPYC 7302PEPYC 7F32EPYC 7642EPYC 7662EPYC 7702EPYC 7282EPYC 7272EPYC 7232P11002200330044005500SE +/- 88.35, N = 12SE +/- 67.46, N = 11SE +/- 71.97, N = 12SE +/- 35.49, N = 11SE +/- 62.74, N = 3SE +/- 27.98, N = 3SE +/- 73.62, N = 12SE +/- 5.63, N = 3SE +/- 52.31, N = 12SE +/- 95.52, N = 12SE +/- 84.35, N = 9SE +/- 24.57, N = 3SE +/- 16.48, N = 3SE +/- 3.69, N = 3521249864946486447554642452245184506417540874044394339411. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

WireGuard + Linux Networking Stack Stress Test

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestEPYC 7542EPYC 7502PEPYC 7282EPYC 7402PEPYC 7F52EPYC 7552EPYC 7662EPYC 7F32EPYC 7532EPYC 7272EPYC 7702EPYC 7302PEPYC 7232P70140210280350SE +/- 0.63, N = 3SE +/- 1.08, N = 3SE +/- 0.25, N = 3SE +/- 1.52, N = 3SE +/- 0.12, N = 3SE +/- 0.75, N = 3SE +/- 1.82, N = 3SE +/- 0.79, N = 3SE +/- 0.79, N = 3SE +/- 0.55, N = 3SE +/- 1.60, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3291.08292.42296.16297.53299.33302.11302.42302.70305.06305.22307.85308.49326.23

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 95, Compression Effort 7EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7642EPYC 7662EPYC 7702EPYC 7552EPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P110220330440550SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 1.43, N = 3SE +/- 0.24, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.98, N = 3SE +/- 2.55, N = 3SE +/- 2.81, N = 3SE +/- 0.26, N = 3SE +/- 0.90, N = 3250.41253.10254.24254.76254.88256.56257.01258.37260.46301.52309.98361.48416.27507.741. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P140K280K420K560K700K6600796526025417755405584120763877923786603176612325072190552081501553471206221060731. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7662EPYC 7302PEPYC 7272EPYC 7282EPYC 7232P80160240320400SE +/- 0.20, N = 3SE +/- 0.65, N = 3SE +/- 0.40, N = 3SE +/- 0.31, N = 3SE +/- 0.30, N = 3SE +/- 0.70, N = 3SE +/- 0.24, N = 3SE +/- 0.35, N = 3SE +/- 0.48, N = 3SE +/- 0.41, N = 3SE +/- 1.35, N = 3SE +/- 0.30, N = 3SE +/- 0.76, N = 3SE +/- 0.53, N = 3348.66345.36311.97309.10307.47306.50303.75303.45303.33303.21301.28298.27296.96270.83

Ngspice

Circuit: C7552

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552EPYC 7F32EPYC 7F52EPYC 7502PEPYC 7542EPYC 7552EPYC 7532EPYC 7702EPYC 7282EPYC 7662EPYC 7272EPYC 7232P50100150200250SE +/- 1.27, N = 12SE +/- 2.04, N = 12SE +/- 1.66, N = 3SE +/- 1.31, N = 12SE +/- 1.35, N = 3SE +/- 1.09, N = 12SE +/- 1.19, N = 3SE +/- 1.05, N = 3SE +/- 1.10, N = 3SE +/- 1.75, N = 3SE +/- 2.36, N = 3119.44122.44128.92130.09131.53132.04132.62135.68136.87137.59212.891. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P140280420560700SE +/- 0.39, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.92, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.33, N = 3SE +/- 1.69, N = 3SE +/- 0.98, N = 3SE +/- 0.50, N = 3SE +/- 1.19, N = 3SE +/- 0.64, N = 3SE +/- 0.51, N = 3SE +/- 0.72, N = 3118.26119.17137.83139.21167.99182.76189.09219.75265.13317.27338.52426.59508.26664.29

Gcrypt Library

OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9EPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7502PEPYC 7402PEPYC 7532EPYC 7552EPYC 7662EPYC 7642EPYC 7302PEPYC 7232PEPYC 7272EPYC 728260120180240300SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.52, N = 3SE +/- 0.70, N = 3SE +/- 1.03, N = 3SE +/- 1.43, N = 3SE +/- 0.48, N = 3SE +/- 0.57, N = 3SE +/- 0.81, N = 3SE +/- 1.00, N = 3SE +/- 0.38, N = 3SE +/- 0.64, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 3223.71223.75257.57261.45262.12262.91264.68264.99265.19265.92268.68273.02273.20274.301. (CC) gcc options: -O2 -fvisibility=hidden

ECP-CANDLE

Benchmark: P3B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2EPYC 7282EPYC 7542EPYC 7272EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7F32EPYC 7232PEPYC 7532EPYC 7F52EPYC 7552EPYC 7662EPYC 7642EPYC 77022004006008001000736.22739.71748.54749.67755.01763.80775.67783.24783.25785.07788.52789.56792.74817.66

Crypto++

Test: Integer + Elliptic Curve Public Key Algorithms

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsEPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7402PEPYC 7502PEPYC 7662EPYC 7532EPYC 7302PEPYC 7552EPYC 7642EPYC 7272EPYC 7232PEPYC 728210002000300040005000SE +/- 2.49, N = 3SE +/- 3.14, N = 3SE +/- 5.67, N = 3SE +/- 5.35, N = 3SE +/- 2.96, N = 3SE +/- 4.11, N = 3SE +/- 2.07, N = 3SE +/- 3.97, N = 3SE +/- 1.09, N = 3SE +/- 2.54, N = 3SE +/- 3.12, N = 3SE +/- 1.24, N = 3SE +/- 5.48, N = 3SE +/- 2.72, N = 34835.024834.054207.914152.604151.294139.984091.784089.124086.084085.534072.763965.033949.443949.001. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderEPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7402PEPYC 7552EPYC 7662EPYC 7702EPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P100200300400500SE +/- 0.39, N = 3SE +/- 0.52, N = 3SE +/- 0.57, N = 3SE +/- 0.73, N = 3SE +/- 0.20, N = 3SE +/- 1.22, N = 3SE +/- 0.75, N = 3SE +/- 0.50, N = 3SE +/- 0.68, N = 3SE +/- 0.25, N = 3SE +/- 0.47, N = 3SE +/- 0.37, N = 3SE +/- 0.12, N = 3SE +/- 1.04, N = 3187.60189.66193.92195.34200.21206.58206.95224.62230.94262.63270.72325.84375.70450.851. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

ONNX Runtime

Model: shufflenet-v2-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUEPYC 7F32EPYC 7F52EPYC 7302PEPYC 7232PEPYC 7402PEPYC 7272EPYC 7542EPYC 7282EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 77022K4K6K8K10KSE +/- 45.76, N = 3SE +/- 112.30, N = 4SE +/- 1.83, N = 3SE +/- 15.37, N = 3SE +/- 18.32, N = 3SE +/- 2.92, N = 3SE +/- 29.60, N = 3SE +/- 45.05, N = 3SE +/- 63.96, N = 12SE +/- 105.59, N = 12SE +/- 70.17, N = 12SE +/- 73.86, N = 12SE +/- 46.88, N = 3SE +/- 53.19, N = 12982393488975883688108721869886118421807073737221668664781. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

Tinymembench

Standard Memset

OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard MemsetEPYC 7702EPYC 7552EPYC 7F32EPYC 7542EPYC 7662EPYC 7F52EPYC 7502PEPYC 7402PEPYC 7282EPYC 7302PEPYC 7532EPYC 7272EPYC 7232P4K8K12K16K20KSE +/- 217.98, N = 3SE +/- 217.68, N = 3SE +/- 28.30, N = 3SE +/- 39.21, N = 3SE +/- 52.61, N = 3SE +/- 39.37, N = 3SE +/- 13.93, N = 3SE +/- 46.42, N = 3SE +/- 18.80, N = 3SE +/- 20.90, N = 3SE +/- 27.08, N = 3SE +/- 37.39, N = 3SE +/- 21.61, N = 317329.816494.416357.215872.015640.115585.715097.114961.414921.314820.314786.914776.414571.71. (CC) gcc options: -O2 -lm

Tinymembench

Standard Memcpy

OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard MemcpyEPYC 7702EPYC 7552EPYC 7F52EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7662EPYC 7282EPYC 7302PEPYC 7532EPYC 7272EPYC 7232P2K4K6K8K10KSE +/- 44.65, N = 3SE +/- 35.12, N = 3SE +/- 1.52, N = 3SE +/- 2.03, N = 3SE +/- 17.46, N = 3SE +/- 19.03, N = 3SE +/- 2.05, N = 3SE +/- 14.82, N = 3SE +/- 7.90, N = 3SE +/- 2.29, N = 3SE +/- 2.22, N = 3SE +/- 22.30, N = 3SE +/- 2.95, N = 39314.09087.19055.19025.48907.78902.88854.28852.08850.68842.78829.98825.78805.91. (CC) gcc options: -O2 -lm

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUEPYC 7402PEPYC 7F32EPYC 7542EPYC 7532EPYC 7502PEPYC 7302PEPYC 7552EPYC 7642EPYC 7232PEPYC 7272EPYC 7282EPYC 7662EPYC 7702EPYC 7F52110220330440550SE +/- 4.15, N = 9SE +/- 0.50, N = 3SE +/- 1.15, N = 3SE +/- 0.44, N = 3SE +/- 4.69, N = 12SE +/- 5.01, N = 3SE +/- 0.60, N = 3SE +/- 3.97, N = 3SE +/- 0.50, N = 3SE +/- 1.26, N = 3SE +/- 0.29, N = 3SE +/- 6.16, N = 12SE +/- 7.16, N = 12SE +/- 6.13, N = 125004804754664594564404314094034003953903721. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P120240360480600SE +/- 0.25, N = 3SE +/- 0.41, N = 3SE +/- 0.77, N = 3SE +/- 0.69, N = 3SE +/- 0.41, N = 3SE +/- 0.20, N = 3SE +/- 1.09, N = 3SE +/- 0.04, N = 3SE +/- 0.74, N = 3SE +/- 0.64, N = 3SE +/- 0.83, N = 3SE +/- 0.31, N = 3SE +/- 0.25, N = 3SE +/- 0.21, N = 3101.68103.55121.21122.03148.50162.29168.40196.70237.79287.81304.34387.23454.49558.87

Polyhedron Fortran Benchmarks

Benchmark: tfft2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2EPYC 770251015202522.25

Radiance Benchmark

Test: Serial

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialEPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7402PEPYC 7502PEPYC 7662EPYC 7532EPYC 7302PEPYC 7642EPYC 7552EPYC 7282EPYC 7272EPYC 7232P160320480640800612.89613.55705.16713.56714.24721.79723.32724.56724.99725.23727.34746.18746.72748.59

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7642EPYC 7F32EPYC 7552EPYC 7302PEPYC 7662EPYC 7282EPYC 7702EPYC 7272EPYC 7232P60120180240300SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 31972142152152172192212232282392392422502761. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7532EPYC 7642EPYC 7662EPYC 7702EPYC 7552EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7F32EPYC 7272EPYC 7282EPYC 7232PEPYC 7F5248121620SE +/- 0.00249, N = 3SE +/- 0.00479, N = 3SE +/- 0.00378, N = 3SE +/- 0.03096, N = 3SE +/- 0.00667, N = 3SE +/- 0.07483, N = 3SE +/- 0.01008, N = 3SE +/- 0.00324, N = 3SE +/- 0.00275, N = 3SE +/- 0.06375, N = 3SE +/- 0.00448, N = 3SE +/- 0.00263, N = 3SE +/- 0.00542, N = 3SE +/- 0.05299, N = 1117.9677017.6850017.3863017.3075016.6494015.6329015.5629015.2920015.2794012.956009.097439.051548.646617.089251. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

Ngspice

Circuit: C2670

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670EPYC 7F52EPYC 7F32EPYC 7542EPYC 7552EPYC 7662EPYC 7502PEPYC 7272EPYC 7532EPYC 7702EPYC 7282EPYC 7232P50100150200250SE +/- 2.33, N = 9SE +/- 1.05, N = 3SE +/- 1.90, N = 3SE +/- 1.89, N = 3SE +/- 1.33, N = 3SE +/- 1.93, N = 5SE +/- 1.59, N = 3SE +/- 1.85, N = 3SE +/- 1.88, N = 4SE +/- 1.23, N = 3SE +/- 2.54, N = 3151.46158.79165.66170.22172.37173.90174.20175.85177.62183.22211.491. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE

ECP-CANDLE

Benchmark: P3B1

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1EPYC 7542EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7552EPYC 7532EPYC 7642EPYC 7662EPYC 7272EPYC 7702EPYC 7282EPYC 7F32EPYC 7232PEPYC 7F522004006008001000566.99574.77576.98577.65584.61586.67590.56604.15623.78649.31655.45668.99715.211108.26

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v3EPYC 7542EPYC 7532EPYC 7642EPYC 7502PEPYC 7662EPYC 7F32EPYC 7552EPYC 7402PEPYC 7702EPYC 7232PEPYC 7272EPYC 7302PEPYC 7282EPYC 7F521020304050SE +/- 0.05, N = 15SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 14SE +/- 0.05, N = 15SE +/- 0.70, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 11SE +/- 0.09, N = 4SE +/- 0.09, N = 15SE +/- 0.09, N = 3SE +/- 0.27, N = 331.8732.4732.8632.9233.5834.9135.4736.8838.0038.3338.6241.1243.1343.36MIN: 30.79 / MAX: 34.77MIN: 32.03 / MAX: 34.7MIN: 32.05 / MAX: 34.89MIN: 32.02 / MAX: 35.9MIN: 32.98 / MAX: 34.68MIN: 33.81 / MAX: 50.1MIN: 34.49 / MAX: 38.11MIN: 35.1 / MAX: 40.26MIN: 36.26 / MAX: 38.93MIN: 37.06 / MAX: 55.19MIN: 38.09 / MAX: 52.97MIN: 39.63 / MAX: 81.35MIN: 42.07 / MAX: 59.48MIN: 40.47 / MAX: 57.181. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.0EPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7402PEPYC 7F32EPYC 7302PEPYC 7232PEPYC 7282EPYC 7272EPYC 7F521.30012.60023.90035.20046.5005SE +/- 0.005, N = 15SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.004, N = 15SE +/- 0.024, N = 3SE +/- 0.006, N = 3SE +/- 0.015, N = 3SE +/- 0.012, N = 3SE +/- 0.002, N = 14SE +/- 0.005, N = 15SE +/- 0.007, N = 11SE +/- 0.060, N = 3SE +/- 0.015, N = 4SE +/- 0.401, N = 32.8362.9273.0033.0223.0563.0733.1873.2133.6253.8563.9174.0815.3225.778MIN: 2.77 / MAX: 4.94MIN: 2.87 / MAX: 5.27MIN: 2.95 / MAX: 3.25MIN: 2.96 / MAX: 3.4MIN: 2.98 / MAX: 3.31MIN: 3.03 / MAX: 3.22MIN: 3.13 / MAX: 3.28MIN: 3.15 / MAX: 4.81MIN: 3.57 / MAX: 17.34MIN: 3.74 / MAX: 20.71MIN: 3.79 / MAX: 19.86MIN: 3.8 / MAX: 20.13MIN: 5.22 / MAX: 13.18MIN: 4.65 / MAX: 7.241. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_224EPYC 7F32EPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 7232PEPYC 7702EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F52246810SE +/- 0.017, N = 14SE +/- 0.009, N = 15SE +/- 0.028, N = 3SE +/- 0.022, N = 3SE +/- 0.016, N = 3SE +/- 0.008, N = 15SE +/- 0.022, N = 3SE +/- 0.030, N = 11SE +/- 0.016, N = 3SE +/- 0.026, N = 3SE +/- 0.046, N = 15SE +/- 0.033, N = 3SE +/- 0.155, N = 4SE +/- 0.391, N = 34.5784.7134.8204.8214.8254.8524.9204.9445.0675.2705.7725.8555.9308.171MIN: 4.43 / MAX: 10.46MIN: 4.51 / MAX: 6.85MIN: 4.67 / MAX: 6.92MIN: 4.72 / MAX: 5.31MIN: 4.71 / MAX: 5.16MIN: 4.69 / MAX: 5.21MIN: 4.78 / MAX: 5.1MIN: 4.74 / MAX: 7.04MIN: 4.95 / MAX: 5.21MIN: 5.12 / MAX: 6.52MIN: 5.46 / MAX: 20.47MIN: 5.58 / MAX: 23.16MIN: 5.53 / MAX: 20.6MIN: 7.28 / MAX: 12.171. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-50EPYC 7542EPYC 7642EPYC 7502PEPYC 7662EPYC 7532EPYC 7552EPYC 7702EPYC 7F32EPYC 7402PEPYC 7232PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7272918273645SE +/- 0.05, N = 15SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 15SE +/- 0.07, N = 3SE +/- 0.01, N = 14SE +/- 0.97, N = 3SE +/- 0.12, N = 11SE +/- 0.09, N = 15SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 424.3024.7825.0625.2225.2725.4426.9227.4529.0231.4431.5433.5033.5938.10MIN: 23.72 / MAX: 27.28MIN: 24.46 / MAX: 25.37MIN: 24.51 / MAX: 27.82MIN: 24.73 / MAX: 27.24MIN: 24.96 / MAX: 28.42MIN: 24.73 / MAX: 28.58MIN: 26.49 / MAX: 27.67MIN: 27.01 / MAX: 58.07MIN: 27.23 / MAX: 33.12MIN: 30.44 / MAX: 49.82MIN: 30.05 / MAX: 48.95MIN: 32.85 / MAX: 46.41MIN: 32.54 / MAX: 48.77MIN: 36.85 / MAX: 55.751. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.0EPYC 7532EPYC 7642EPYC 7502PEPYC 7662EPYC 7542EPYC 7552EPYC 7702EPYC 7402PEPYC 7F32EPYC 7302PEPYC 7282EPYC 7232PEPYC 7272EPYC 7F523691215SE +/- 0.016, N = 3SE +/- 0.003, N = 3SE +/- 0.048, N = 3SE +/- 0.018, N = 3SE +/- 0.252, N = 15SE +/- 0.271, N = 15SE +/- 0.014, N = 3SE +/- 0.114, N = 3SE +/- 0.062, N = 14SE +/- 0.061, N = 15SE +/- 0.027, N = 3SE +/- 0.071, N = 11SE +/- 0.115, N = 4SE +/- 0.064, N = 37.3387.4797.4937.5427.6258.1428.3758.9789.3579.5049.6109.6509.76810.209MIN: 7.23 / MAX: 7.87MIN: 7.34 / MAX: 8.04MIN: 7.29 / MAX: 9.78MIN: 7.38 / MAX: 8.01MIN: 7.08 / MAX: 14.04MIN: 7.43 / MAX: 13.26MIN: 8.25 / MAX: 8.55MIN: 8.7 / MAX: 10.42MIN: 8.98 / MAX: 23.95MIN: 9.01 / MAX: 25.56MIN: 9.28 / MAX: 25.71MIN: 9.16 / MAX: 25.96MIN: 9.3 / MAX: 12.44MIN: 10.06 / MAX: 11.231. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Polyhedron Fortran Benchmarks

Benchmark: fatigue2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue2EPYC 7702142842567061.08

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7F32EPYC 7F52EPYC 7272EPYC 7232PEPYC 7282EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 77026K12K18K24K30KSE +/- 296.05, N = 4SE +/- 205.94, N = 13SE +/- 251.88, N = 3SE +/- 130.62, N = 3SE +/- 162.08, N = 13SE +/- 278.67, N = 4SE +/- 228.79, N = 5SE +/- 300.22, N = 3SE +/- 303.68, N = 3SE +/- 233.41, N = 5SE +/- 149.83, N = 11SE +/- 208.12, N = 5SE +/- 203.19, N = 6SE +/- 189.69, N = 627135.6324205.5423807.6723230.1922574.8022339.8521653.9121442.0021272.0420967.4820634.2020036.1919915.0019062.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp

FFTW

Build: Float + SSE - Size: 2D FFT Size 2048

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 2048EPYC 7F32EPYC 7662EPYC 7402PEPYC 7542EPYC 7F52EPYC 7532EPYC 7552EPYC 7642EPYC 7502PEPYC 7702EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P6K12K18K24K30KSE +/- 204.43, N = 3SE +/- 287.13, N = 3SE +/- 250.51, N = 6SE +/- 218.98, N = 3SE +/- 239.23, N = 3SE +/- 124.32, N = 3SE +/- 82.21, N = 3SE +/- 82.48, N = 3SE +/- 275.94, N = 15SE +/- 294.57, N = 15SE +/- 238.46, N = 3SE +/- 144.50, N = 3SE +/- 254.46, N = 15SE +/- 93.54, N = 330037268672676926724266362630526303262892618626143260452560124876183781. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7502PEPYC 7542EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7702306090120150SE +/- 0.30, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.34, N = 3SE +/- 0.51, N = 3SE +/- 0.05, N = 3SE +/- 0.47, N = 3SE +/- 0.89, N = 3SE +/- 1.20, N = 3SE +/- 0.60, N = 11SE +/- 2.91, N = 3SE +/- 1.44, N = 12SE +/- 1.58, N = 9SE +/- 0.92, N = 931.1632.1634.2440.2741.3546.3051.0960.7761.2966.9091.9093.95115.48119.33MIN: 30.33 / MAX: 33.9MIN: 31.34 / MAX: 32.97MIN: 33.82 / MAX: 47.56MIN: 38.44 / MAX: 167.34MIN: 40.02 / MAX: 44.02MIN: 45.45 / MAX: 121.75MIN: 49.4 / MAX: 53.35MIN: 58.26 / MAX: 140.56MIN: 59.46 / MAX: 72.41MIN: 63.42 / MAX: 212.32MIN: 86.84 / MAX: 102.42MIN: 86.48 / MAX: 1086.99MIN: 104.38 / MAX: 272.84MIN: 110.56 / MAX: 268.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdEPYC 7302PEPYC 7272EPYC 7282EPYC 7402PEPYC 7502PEPYC 7542EPYC 7F52EPYC 7F32EPYC 7532EPYC 7232PEPYC 7642EPYC 7552EPYC 7662EPYC 7702816243240SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 11SE +/- 0.01, N = 3SE +/- 0.09, N = 12SE +/- 0.03, N = 3SE +/- 0.15, N = 9SE +/- 0.19, N = 922.4522.6222.8523.0223.7324.5225.2025.7625.9427.9728.6828.9432.0933.16MIN: 21.7 / MAX: 24.03MIN: 22.05 / MAX: 23.63MIN: 21.95 / MAX: 99.38MIN: 22.47 / MAX: 24.28MIN: 22.99 / MAX: 25.94MIN: 24.07 / MAX: 27.01MIN: 24.28 / MAX: 26.66MIN: 24.63 / MAX: 28.33MIN: 25.15 / MAX: 38.37MIN: 27.46 / MAX: 42.1MIN: 27.54 / MAX: 42.27MIN: 28.1 / MAX: 41.11MIN: 30.51 / MAX: 174.53MIN: 31.64 / MAX: 1271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyEPYC 7F32EPYC 7402PEPYC 7302PEPYC 7542EPYC 7502PEPYC 7272EPYC 7532EPYC 7232PEPYC 7282EPYC 7642EPYC 7552EPYC 7662EPYC 7702EPYC 7F52816243240SE +/- 0.29, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.33, N = 3SE +/- 0.61, N = 3SE +/- 0.17, N = 11SE +/- 0.50, N = 3SE +/- 0.45, N = 3SE +/- 0.06, N = 12SE +/- 0.10, N = 3SE +/- 0.12, N = 9SE +/- 0.21, N = 9SE +/- 0.28, N = 327.6127.7827.8728.2729.1129.2329.6629.6729.7830.6331.6134.1535.1235.38MIN: 26.76 / MAX: 28.5MIN: 27.43 / MAX: 29.51MIN: 27.31 / MAX: 41.48MIN: 27.87 / MAX: 31.14MIN: 28.33 / MAX: 32.38MIN: 28.35 / MAX: 32.28MIN: 28.65 / MAX: 167.51MIN: 28.72 / MAX: 42.97MIN: 28.36 / MAX: 108.17MIN: 29.81 / MAX: 126.09MIN: 30.9 / MAX: 36.86MIN: 32.54 / MAX: 132.52MIN: 33.13 / MAX: 169.41MIN: 34.22 / MAX: 37.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50EPYC 7302PEPYC 7402PEPYC 7542EPYC 7F32EPYC 7502PEPYC 7532EPYC 7282EPYC 7272EPYC 7642EPYC 7232PEPYC 7552EPYC 7662EPYC 7702EPYC 7F52816243240SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.26, N = 3SE +/- 0.04, N = 11SE +/- 0.09, N = 3SE +/- 0.33, N = 3SE +/- 0.19, N = 12SE +/- 0.22, N = 3SE +/- 0.25, N = 3SE +/- 0.12, N = 9SE +/- 0.16, N = 9SE +/- 0.33, N = 321.8822.7923.5523.7524.3224.6225.1726.8327.8328.1928.5732.7333.9835.47MIN: 21.64 / MAX: 23.37MIN: 22.48 / MAX: 33.96MIN: 23.01 / MAX: 26.62MIN: 23.29 / MAX: 24.37MIN: 23.62 / MAX: 27.07MIN: 23.94 / MAX: 27.83MIN: 24.53 / MAX: 50.53MIN: 26.22 / MAX: 41.74MIN: 26.6 / MAX: 234.67MIN: 27.81 / MAX: 29.82MIN: 27.64 / MAX: 33.13MIN: 31.74 / MAX: 44.34MIN: 31.83 / MAX: 59.59MIN: 34.12 / MAX: 114.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetEPYC 7302PEPYC 7F32EPYC 7402PEPYC 7532EPYC 7542EPYC 7502PEPYC 7642EPYC 7662EPYC 7702EPYC 7552EPYC 7232PEPYC 7272EPYC 7F52EPYC 72823691215SE +/- 0.01, N = 2SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 11SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 12SE +/- 0.08, N = 9SE +/- 0.05, N = 9SE +/- 0.32, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 37.447.607.807.818.288.558.568.819.019.499.869.869.8710.16MIN: 7.34 / MAX: 8.53MIN: 7.51 / MAX: 8.13MIN: 7.66 / MAX: 9.41MIN: 7.55 / MAX: 10.47MIN: 8 / MAX: 10.85MIN: 8.18 / MAX: 10.72MIN: 8.22 / MAX: 24.11MIN: 8.44 / MAX: 32.96MIN: 8.61 / MAX: 17.39MIN: 8.54 / MAX: 13.63MIN: 9.77 / MAX: 25.65MIN: 9.77 / MAX: 10.66MIN: 9.45 / MAX: 10.5MIN: 9.88 / MAX: 21.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7F32EPYC 7552EPYC 7642EPYC 7662EPYC 7702EPYC 7282EPYC 7272EPYC 7232PEPYC 7F521326395265SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 11SE +/- 0.18, N = 3SE +/- 0.32, N = 3SE +/- 0.19, N = 12SE +/- 0.27, N = 9SE +/- 0.17, N = 9SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 330.8431.4631.4832.0433.2733.8134.2034.9037.3538.5139.4240.0140.6759.81MIN: 30.45 / MAX: 32.11MIN: 31.24 / MAX: 33.08MIN: 31.08 / MAX: 45.9MIN: 31.32 / MAX: 109.6MIN: 31.92 / MAX: 108.33MIN: 33.39 / MAX: 80.53MIN: 33.04 / MAX: 37.52MIN: 33.25 / MAX: 146.34MIN: 35.01 / MAX: 111.55MIN: 36.25 / MAX: 125.98MIN: 38.3 / MAX: 143.19MIN: 39.54 / MAX: 41.05MIN: 40.35 / MAX: 43.91MIN: 57.95 / MAX: 122.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetEPYC 7402PEPYC 7302PEPYC 7272EPYC 7542EPYC 7282EPYC 7F32EPYC 7502PEPYC 7232PEPYC 7532EPYC 7F52EPYC 7552EPYC 7642EPYC 7702EPYC 7662816243240SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 11SE +/- 0.10, N = 3SE +/- 0.37, N = 3SE +/- 0.64, N = 12SE +/- 0.91, N = 9SE +/- 0.82, N = 919.5219.7020.0620.4320.4620.5421.1422.3323.5924.1426.5028.9235.5835.78MIN: 19.11 / MAX: 21.65MIN: 19.2 / MAX: 20.45MIN: 19.5 / MAX: 23.62MIN: 19.91 / MAX: 33.27MIN: 19.72 / MAX: 77.23MIN: 20.19 / MAX: 21.27MIN: 20.56 / MAX: 35MIN: 21.92 / MAX: 23.79MIN: 22.06 / MAX: 161.6MIN: 23.55 / MAX: 25.73MIN: 24.55 / MAX: 33.31MIN: 24.32 / MAX: 41.88MIN: 29.55 / MAX: 165.69MIN: 28.31 / MAX: 170.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7662EPYC 7702EPYC 7F32EPYC 7F52EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7272EPYC 7282EPYC 7542EPYC 7502PEPYC 7552EPYC 7532EPYC 764240K80K120K160K200KSE +/- 146.69, N = 3SE +/- 182.06, N = 3SE +/- 101.93, N = 3SE +/- 1333.26, N = 3SE +/- 139.37, N = 3SE +/- 37.21, N = 3SE +/- 92.46, N = 3SE +/- 272.29, N = 3SE +/- 76.96, N = 3SE +/- 120.93, N = 3SE +/- 187.42, N = 3SE +/- 1549.72, N = 7SE +/- 106.86, N = 3SE +/- 114.49, N = 31276991289651405581513271515591525391546931548711557631625441687281718851725081738121. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P30M60M90M120M150MSE +/- 1202983.30, N = 3SE +/- 688813.01, N = 3SE +/- 373542.05, N = 3SE +/- 394553.31, N = 3SE +/- 375595.74, N = 3SE +/- 939330.26, N = 3SE +/- 395352.82, N = 3SE +/- 491333.28, N = 3SE +/- 230890.74, N = 3SE +/- 215295.19, N = 3SE +/- 91373.33, N = 3SE +/- 83002.90, N = 3SE +/- 57670.67, N = 312629007712284946110530457882716262780846847442269962581775463426654211221941583844317918132467575321027795

Renaissance

Test: Scala Dotty

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala DottyEPYC 7402PEPYC 7702400800120016002000SE +/- 6.43, N = 5SE +/- 8.07, N = 51777.321784.87

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 75, Compression Effort 7EPYC 7542EPYC 7502PEPYC 7402PEPYC 7642EPYC 7702EPYC 7662EPYC 7552EPYC 7F52EPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60120180240300SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.47, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 3SE +/- 0.46, N = 3SE +/- 0.09, N = 3SE +/- 1.62, N = 3SE +/- 1.08, N = 3SE +/- 0.65, N = 3SE +/- 0.90, N = 3SE +/- 0.87, N = 3135.97137.44138.04138.08139.36139.56140.18140.61142.20164.81173.72199.54227.13277.671. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7532EPYC 7502PEPYC 7232PEPYC 7272EPYC 7282EPYC 7552EPYC 7642EPYC 7F52EPYC 7662EPYC 770248121620SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 11SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.50, N = 12SE +/- 0.02, N = 3SE +/- 0.08, N = 9SE +/- 0.13, N = 911.8812.0212.5313.0113.0913.1714.1414.5014.5214.9515.3515.8316.1916.80MIN: 11.62 / MAX: 12.46MIN: 11.87 / MAX: 12.25MIN: 12.29 / MAX: 14.54MIN: 12.71 / MAX: 16.73MIN: 12.54 / MAX: 15.91MIN: 12.72 / MAX: 15.99MIN: 14.02 / MAX: 14.84MIN: 14.03 / MAX: 30.23MIN: 14.04 / MAX: 90.85MIN: 14.44 / MAX: 17.51MIN: 13.83 / MAX: 1062.41MIN: 15.56 / MAX: 17.09MIN: 14.96 / MAX: 24.1MIN: 15.34 / MAX: 148.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetEPYC 7F32EPYC 7302PEPYC 7272EPYC 7402PEPYC 7232PEPYC 7282EPYC 7542EPYC 7502PEPYC 7F52EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7702816243240SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.28, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.48, N = 3SE +/- 0.12, N = 3SE +/- 0.33, N = 3SE +/- 0.27, N = 3SE +/- 0.29, N = 11SE +/- 0.14, N = 3SE +/- 0.86, N = 12SE +/- 1.29, N = 9SE +/- 1.15, N = 916.3216.8317.5817.6417.8718.8419.9420.3521.8421.9323.9727.6834.0036.76MIN: 15.69 / MAX: 79.67MIN: 16.42 / MAX: 20.42MIN: 17.05 / MAX: 18.64MIN: 17.29 / MAX: 30.94MIN: 17.59 / MAX: 19.75MIN: 17.66 / MAX: 132.29MIN: 19.43 / MAX: 22.28MIN: 19.39 / MAX: 62.1MIN: 20.88 / MAX: 25.6MIN: 20.32 / MAX: 95.63MIN: 23.45 / MAX: 28.72MIN: 23.41 / MAX: 138.56MIN: 27.04 / MAX: 97.01MIN: 28.46 / MAX: 174.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceEPYC 7F32EPYC 7232PEPYC 7272EPYC 7302PEPYC 7282EPYC 7F52EPYC 7402PEPYC 7502PEPYC 7542EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 77023691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 11SE +/- 0.67, N = 3SE +/- 0.26, N = 12SE +/- 0.37, N = 9SE +/- 0.25, N = 93.303.493.543.723.743.824.214.604.614.956.576.808.689.32MIN: 3.2 / MAX: 3.51MIN: 3.4 / MAX: 3.75MIN: 3.43 / MAX: 3.74MIN: 3.58 / MAX: 5.16MIN: 3.58 / MAX: 8.88MIN: 3.72 / MAX: 4.1MIN: 4.06 / MAX: 5.91MIN: 4.38 / MAX: 6.31MIN: 4.45 / MAX: 4.81MIN: 4.63 / MAX: 6.53MIN: 5.73 / MAX: 18.41MIN: 5.67 / MAX: 11.73MIN: 6.7 / MAX: 15.99MIN: 7.36 / MAX: 18.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0EPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7232PEPYC 7402PEPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7702612182430SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.26, N = 11SE +/- 2.24, N = 3SE +/- 0.75, N = 12SE +/- 1.16, N = 9SE +/- 0.85, N = 99.8410.4010.5510.8010.8711.6912.4712.9212.9414.6319.6621.7126.5226.76MIN: 9.58 / MAX: 10.75MIN: 9.83 / MAX: 20.38MIN: 10.24 / MAX: 69.96MIN: 10.45 / MAX: 26MIN: 10.68 / MAX: 11.57MIN: 11.36 / MAX: 14.13MIN: 12.02 / MAX: 14.07MIN: 12.36 / MAX: 16.63MIN: 12.46 / MAX: 15.4MIN: 13.29 / MAX: 20.58MIN: 15.98 / MAX: 32.16MIN: 16.06 / MAX: 33.9MIN: 18.34 / MAX: 159.39MIN: 19.65 / MAX: 171.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetEPYC 7F32EPYC 7272EPYC 7232PEPYC 7282EPYC 7302PEPYC 7402PEPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7702510152025SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 2SE +/- 0.31, N = 3SE +/- 0.05, N = 3SE +/- 0.37, N = 3SE +/- 0.23, N = 11SE +/- 2.35, N = 3SE +/- 0.94, N = 12SE +/- 1.14, N = 9SE +/- 0.77, N = 96.426.496.646.957.328.168.729.079.2810.3815.4916.7122.0522.34MIN: 6.09 / MAX: 7.09MIN: 6.37 / MAX: 6.92MIN: 6.54 / MAX: 7.23MIN: 6.71 / MAX: 14.84MIN: 7.05 / MAX: 8.22MIN: 7.75 / MAX: 9.91MIN: 8.12 / MAX: 10.61MIN: 8.75 / MAX: 11.1MIN: 8.66 / MAX: 11.37MIN: 9.3 / MAX: 16.29MIN: 11.65 / MAX: 28.64MIN: 11.37 / MAX: 30.58MIN: 13.54 / MAX: 37.68MIN: 14.54 / MAX: 162.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2EPYC 7282EPYC 7302PEPYC 7402PEPYC 7F32EPYC 7272EPYC 7502PEPYC 7542EPYC 7F52EPYC 7232PEPYC 7532EPYC 7552EPYC 7642EPYC 7702EPYC 766248121620SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.36, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 11SE +/- 0.60, N = 3SE +/- 0.42, N = 12SE +/- 0.35, N = 9SE +/- 0.61, N = 98.878.919.529.609.619.949.979.9910.2010.6812.8214.0616.7117.29MIN: 8.52 / MAX: 34.05MIN: 8.74 / MAX: 12.61MIN: 9.28 / MAX: 10.99MIN: 9.43 / MAX: 10.04MIN: 9.51 / MAX: 13.18MIN: 9.64 / MAX: 11.99MIN: 9.68 / MAX: 12.72MIN: 9.5 / MAX: 11.56MIN: 10.07 / MAX: 10.8MIN: 10.17 / MAX: 154.31MIN: 12.07 / MAX: 17.58MIN: 11.71 / MAX: 20.88MIN: 14.39 / MAX: 153.63MIN: 13.68 / MAX: 128.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7272EPYC 7F32EPYC 7232PEPYC 7282EPYC 7302PEPYC 7402PEPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 7702510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 11SE +/- 1.69, N = 3SE +/- 0.60, N = 12SE +/- 1.03, N = 9SE +/- 0.75, N = 96.546.586.726.947.318.138.749.119.2010.5114.2115.9420.2920.70MIN: 6.36 / MAX: 10.78MIN: 6.13 / MAX: 7.08MIN: 6.58 / MAX: 8.56MIN: 6.68 / MAX: 16.72MIN: 7.02 / MAX: 19.94MIN: 7.77 / MAX: 9.9MIN: 8.27 / MAX: 12.35MIN: 8.69 / MAX: 12.94MIN: 8.74 / MAX: 13.15MIN: 9.5 / MAX: 16.4MIN: 11.65 / MAX: 24.12MIN: 11.89 / MAX: 108.3MIN: 13.64 / MAX: 155.26MIN: 14.71 / MAX: 286.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7F32EPYC 7272EPYC 7232PEPYC 7302PEPYC 7282EPYC 7402PEPYC 7502PEPYC 7F52EPYC 7542EPYC 7532EPYC 7552EPYC 7642EPYC 7702EPYC 7662612182430SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 0.22, N = 11SE +/- 2.17, N = 3SE +/- 1.02, N = 12SE +/- 0.94, N = 9SE +/- 1.26, N = 97.137.327.617.857.888.4110.0710.1110.1511.5516.0517.7822.9823.01MIN: 6.91 / MAX: 7.7MIN: 7.06 / MAX: 11.87MIN: 7.45 / MAX: 8.18MIN: 7.44 / MAX: 11.79MIN: 7.53 / MAX: 17.78MIN: 7.96 / MAX: 10.39MIN: 9.55 / MAX: 13.68MIN: 9.12 / MAX: 13.81MIN: 9.54 / MAX: 14.14MIN: 10.24 / MAX: 25.89MIN: 12.41 / MAX: 30.85MIN: 12.27 / MAX: 35.04MIN: 15.37 / MAX: 193.31MIN: 14.46 / MAX: 130.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Appleseed

Scene: Emily

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyEPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P110220330440550153.46153.98154.44154.73161.64170.48172.91194.53226.80260.98275.81333.25381.37487.37

YafaRay

Total Time For Sample Scene

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneEPYC 7552EPYC 7542EPYC 7662EPYC 7702EPYC 7642EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P4080120160200SE +/- 0.43, N = 14SE +/- 0.43, N = 3SE +/- 0.74, N = 3SE +/- 0.72, N = 15SE +/- 0.60, N = 15SE +/- 0.38, N = 3SE +/- 1.05, N = 3SE +/- 0.21, N = 3SE +/- 1.06, N = 3SE +/- 1.37, N = 3SE +/- 1.73, N = 3SE +/- 0.80, N = 3SE +/- 0.41, N = 3SE +/- 0.97, N = 364.8864.9266.4867.2567.6670.7080.5085.56102.53110.94127.45131.03172.35186.181. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

ONNX Runtime

Model: fcn-resnet101-11 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7662EPYC 7552EPYC 7282EPYC 7702EPYC 7402PEPYC 7272EPYC 7542EPYC 7F52EPYC 7302PEPYC 7502PEPYC 7F32EPYC 7232P20406080100SE +/- 0.17, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 1.04, N = 3SE +/- 0.29, N = 3SE +/- 0.44, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.58, N = 3SE +/- 0.60, N = 3SE +/- 0.67, N = 3SE +/- 0.53, N = 12SE +/- 0.67, N = 3SE +/- 0.00, N = 380797979777472706969696459591. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7F32EPYC 7F52EPYC 7232PEPYC 7302PEPYC 7272EPYC 7282EPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 77024080120160200SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 3SE +/- 0.18, N = 3104.26110.43126.21128.93129.44132.39133.76139.82141.65145.01165.55166.11191.15191.231. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P1.12282.24563.36844.49125.614SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.994.924.214.173.233.032.972.451.651.591.481.220.950.76MIN: 4.95 / MAX: 5.03MIN: 4.88 / MAX: 4.95MIN: 4.1 / MAX: 4.24MIN: 4.12 / MAX: 4.18MIN: 3.19 / MAX: 3.24MIN: 2.99 / MAX: 3.04MIN: 2.93 / MAX: 2.99MIN: 2.43 / MAX: 2.46MIN: 1.63MIN: 1.58 / MAX: 1.6MIN: 1.47 / MAX: 1.49MIN: 1.21MAX: 0.77

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7F32EPYC 7272EPYC 7232P60120180240300SE +/- 0.05, N = 3SE +/- 0.26, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.46, N = 3SE +/- 0.19, N = 3SE +/- 0.87, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.37, N = 3SE +/- 0.67, N = 378.3979.9881.0686.7493.24103.30105.67116.41139.15165.41177.91200.41205.89271.161. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

NCNN

Target: CPU-v2-v2-v2 - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: regnety_400mEPYC 7F32EPYC 7282EPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7702306090120150SE +/- 0.25, N = 3SE +/- 0.22, N = 3SE +/- 0.54, N = 3SE +/- 1.51, N = 3SE +/- 1.36, N = 3SE +/- 0.38, N = 3SE +/- 0.90, N = 1232.4439.7244.8461.4261.5864.89117.56MIN: 31.57 / MAX: 33.32MIN: 38.43 / MAX: 83.52MIN: 43.55 / MAX: 46.35MIN: 58.39 / MAX: 205.71MIN: 59.2 / MAX: 77.53MIN: 63.26 / MAX: 68.33MIN: 110.38 / MAX: 376.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: squeezenet_ssdEPYC 7F52EPYC 7282EPYC 7542EPYC 7502PEPYC 7532EPYC 7F32EPYC 7702816243240SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 1221.6222.9423.5723.7725.6425.8133.14MIN: 21.07 / MAX: 23.56MIN: 22.01 / MAX: 97.98MIN: 23.08 / MAX: 25.69MIN: 23.13 / MAX: 26.74MIN: 25.07 / MAX: 31.01MIN: 24.64 / MAX: 26.55MIN: 31.31 / MAX: 88.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: yolov4-tinyEPYC 7F32EPYC 7542EPYC 7502PEPYC 7F52EPYC 7532EPYC 7282EPYC 7702816243240SE +/- 0.30, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.65, N = 3SE +/- 0.12, N = 1227.4328.2728.6428.8029.3829.5835.87MIN: 26.83 / MAX: 28.57MIN: 27.92 / MAX: 30.97MIN: 28.24 / MAX: 30.97MIN: 28.11 / MAX: 30.02MIN: 28.95 / MAX: 31.47MIN: 28.18 / MAX: 79.51MIN: 33.58 / MAX: 180.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: resnet50EPYC 7542EPYC 7502PEPYC 7F32EPYC 7532EPYC 7282EPYC 7F52EPYC 7702816243240SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.60, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.21, N = 3SE +/- 0.17, N = 1223.4524.1924.3724.8225.5626.2434.07MIN: 23.16 / MAX: 25.99MIN: 23.68 / MAX: 26.81MIN: 23.47 / MAX: 37.92MIN: 24.27 / MAX: 27.47MIN: 24.69 / MAX: 100.99MIN: 25.52 / MAX: 28.03MIN: 31.16 / MAX: 133.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: alexnetEPYC 7F52EPYC 7F32EPYC 7532EPYC 7542EPYC 7502PEPYC 7702EPYC 72823691215SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 12SE +/- 0.07, N = 37.497.637.728.118.409.0210.23MIN: 7.16 / MAX: 8.48MIN: 7.52 / MAX: 8.93MIN: 7.25 / MAX: 10.27MIN: 8 / MAX: 10.07MIN: 8.19 / MAX: 10.75MIN: 8.58 / MAX: 72.11MIN: 9.93 / MAX: 68.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: resnet18EPYC 7F32EPYC 7F52EPYC 7542EPYC 7532EPYC 7502PEPYC 7282EPYC 770248121620SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 1211.8012.4012.9613.0613.0914.1917.09MIN: 11.66 / MAX: 13.4MIN: 12.1 / MAX: 13.48MIN: 12.71 / MAX: 15.67MIN: 12.64 / MAX: 15.48MIN: 12.8 / MAX: 15.7MIN: 13.89 / MAX: 26.57MIN: 16.07 / MAX: 156.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: vgg16EPYC 7542EPYC 7502PEPYC 7532EPYC 7F32EPYC 7702EPYC 7F52EPYC 7282918273645SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.19, N = 12SE +/- 0.21, N = 3SE +/- 0.16, N = 331.6431.8433.5233.6038.4038.7839.49MIN: 31.33 / MAX: 45.64MIN: 31.49 / MAX: 45.59MIN: 32.72 / MAX: 36.12MIN: 33.35 / MAX: 34.17MIN: 35.78 / MAX: 101.98MIN: 37.99 / MAX: 49.15MIN: 38.04 / MAX: 141.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: googlenetEPYC 7F32EPYC 7282EPYC 7F52EPYC 7542EPYC 7502PEPYC 7532EPYC 7702816243240SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.53, N = 1216.1818.3518.6619.8420.1620.9233.33MIN: 15.75 / MAX: 18.34MIN: 17.92 / MAX: 30.16MIN: 18.37 / MAX: 20.77MIN: 19.52 / MAX: 22.25MIN: 19.79 / MAX: 22.47MIN: 20.33 / MAX: 23.62MIN: 28.29 / MAX: 322.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: blazefaceEPYC 7F32EPYC 7F52EPYC 7282EPYC 7502PEPYC 7542EPYC 7532EPYC 7702246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 3SE +/- 0.25, N = 123.303.713.794.594.764.918.57MIN: 3.23 / MAX: 3.45MIN: 3.57 / MAX: 4.18MIN: 3.64 / MAX: 17.29MIN: 4.36 / MAX: 9.16MIN: 4.4 / MAX: 5.79MIN: 4.58 / MAX: 84.54MIN: 7.33 / MAX: 16.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: efficientnet-b0EPYC 7F32EPYC 7282EPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7702612182430SE +/- 0.02, N = 3SE +/- 0.28, N = 3SE +/- 0.06, N = 3SE +/- 0.49, N = 3SE +/- 0.70, N = 3SE +/- 0.24, N = 3SE +/- 0.70, N = 1210.5310.5811.4613.3313.3614.1625.90MIN: 10.39 / MAX: 10.89MIN: 9.7 / MAX: 23.19MIN: 11.14 / MAX: 14.09MIN: 12.47 / MAX: 17.12MIN: 12.37 / MAX: 16.7MIN: 13.23 / MAX: 19.25MIN: 19.87 / MAX: 167.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: mnasnetEPYC 7F32EPYC 7282EPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7702510152025SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.34, N = 3SE +/- 0.99, N = 3SE +/- 0.20, N = 3SE +/- 0.85, N = 126.557.138.059.499.9610.0019.85MIN: 6.42 / MAX: 6.82MIN: 6.71 / MAX: 81.49MIN: 7.59 / MAX: 83.63MIN: 8.74 / MAX: 11.4MIN: 8.67 / MAX: 14.91MIN: 9.24 / MAX: 12.27MIN: 14.62 / MAX: 160.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: shufflenet-v2EPYC 7282EPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7532EPYC 770248121620SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 2SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.30, N = 129.049.149.619.899.9410.4517.18MIN: 8.5 / MAX: 115.08MIN: 8.98 / MAX: 9.86MIN: 9.47 / MAX: 10.1MIN: 9.55 / MAX: 12.02MIN: 9.7 / MAX: 12.07MIN: 10.06 / MAX: 10.7MIN: 14.33 / MAX: 149.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2-v3-v3 - Model: mobilenet-v3EPYC 7F32EPYC 7282EPYC 7F52EPYC 7502PEPYC 7532EPYC 7542EPYC 7702510152025SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.38, N = 3SE +/- 0.07, N = 3SE +/- 0.85, N = 3SE +/- 0.52, N = 126.816.928.019.5510.0010.0519.33MIN: 6.47 / MAX: 7.66MIN: 6.62 / MAX: 16.73MIN: 7.76 / MAX: 11.26MIN: 8.8 / MAX: 14.17MIN: 9.44 / MAX: 13.72MIN: 8.79 / MAX: 16.73MIN: 14.67 / MAX: 163.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2-v2-v2 - Model: mobilenet-v2EPYC 7F32EPYC 7282EPYC 7F52EPYC 7542EPYC 7502PEPYC 7532EPYC 7702510152025SE +/- 0.41, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.50, N = 3SE +/- 0.40, N = 3SE +/- 0.22, N = 3SE +/- 0.67, N = 127.627.838.9910.4810.5711.1621.78MIN: 6.94 / MAX: 8.63MIN: 7.42 / MAX: 20.77MIN: 8.55 / MAX: 12.68MIN: 9.49 / MAX: 15.91MIN: 9.55 / MAX: 89.27MIN: 10.31 / MAX: 15.76MIN: 15.53 / MAX: 156.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2-v2 - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: mobilenetEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7502PEPYC 7532EPYC 7702816243240SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.30, N = 3SE +/- 0.56, N = 1220.1020.3520.4820.7120.8322.7534.51MIN: 19.72 / MAX: 21.22MIN: 20 / MAX: 22.9MIN: 19.64 / MAX: 33.63MIN: 20.23 / MAX: 80.25MIN: 20.38 / MAX: 23.31MIN: 21.04 / MAX: 28.66MIN: 29.62 / MAX: 183.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7642EPYC 7662EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P306090120150SE +/- 0.47, N = 15SE +/- 0.47, N = 3SE +/- 0.82, N = 15SE +/- 0.61, N = 14SE +/- 0.28, N = 3SE +/- 0.26, N = 3SE +/- 0.42, N = 3SE +/- 0.25, N = 3SE +/- 0.52, N = 3SE +/- 1.14, N = 3SE +/- 0.76, N = 10SE +/- 0.53, N = 3SE +/- 0.11, N = 3SE +/- 0.41, N = 346.5347.3747.4348.7257.6857.9859.4459.6590.5298.1999.72107.97130.98148.201. (CXX) g++ options: -O2 -lOpenCL

NCNN

Target: CPU-v3-v3-v3 - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: regnety_400mEPYC 7F32EPYC 7282EPYC 7F52EPYC 7542EPYC 7502PEPYC 7532EPYC 7702306090120150SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.96, N = 3SE +/- 0.78, N = 3SE +/- 1.18, N = 3SE +/- 0.90, N = 1232.2740.5344.9861.4661.5165.30117.29MIN: 31.53 / MAX: 34.46MIN: 38.3 / MAX: 142.23MIN: 44.41 / MAX: 120.73MIN: 59.76 / MAX: 66.21MIN: 59.23 / MAX: 65.07MIN: 62.09 / MAX: 107.9MIN: 110.16 / MAX: 380.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: squeezenet_ssdEPYC 7F52EPYC 7282EPYC 7502PEPYC 7542EPYC 7F32EPYC 7532EPYC 7702816243240SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 1222.7222.8324.1524.4925.1525.5833.61MIN: 22.33 / MAX: 23.78MIN: 21.87 / MAX: 58.21MIN: 23.15 / MAX: 101MIN: 24.14 / MAX: 33.66MIN: 24.73 / MAX: 26.1MIN: 24.92 / MAX: 28.09MIN: 31.82 / MAX: 180.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: yolov4-tinyEPYC 7F32EPYC 7542EPYC 7502PEPYC 7F52EPYC 7532EPYC 7282EPYC 7702816243240SE +/- 0.34, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 1227.8128.3828.4528.8929.4230.2235.45MIN: 26.87 / MAX: 29.43MIN: 27.87 / MAX: 30.83MIN: 28.02 / MAX: 30.8MIN: 28.11 / MAX: 30.08MIN: 28.77 / MAX: 32.92MIN: 28.5 / MAX: 91.38MIN: 33.92 / MAX: 177.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: resnet50EPYC 7542EPYC 7502PEPYC 7F32EPYC 7532EPYC 7282EPYC 7F52EPYC 7702816243240SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 1223.4023.9723.9824.8725.4926.6534.44MIN: 23.06 / MAX: 26.02MIN: 23.66 / MAX: 26.64MIN: 23.48 / MAX: 99.76MIN: 24.23 / MAX: 28.08MIN: 24.81 / MAX: 44.64MIN: 26.08 / MAX: 28.21MIN: 31.49 / MAX: 123.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: alexnetEPYC 7F52EPYC 7F32EPYC 7532EPYC 7542EPYC 7502PEPYC 7702EPYC 72823691215SE +/- 0.24, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 12SE +/- 0.03, N = 37.427.647.728.308.419.0310.18MIN: 7 / MAX: 8.77MIN: 7.53 / MAX: 8.34MIN: 7.6 / MAX: 10.25MIN: 7.99 / MAX: 11.01MIN: 8.19 / MAX: 10.25MIN: 8.55 / MAX: 19.15MIN: 9.97 / MAX: 41.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: resnet18EPYC 7F32EPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7282EPYC 770248121620SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.22, N = 3SE +/- 0.05, N = 1211.9012.8613.0413.0613.1014.5716.88MIN: 11.65 / MAX: 55.15MIN: 12.33 / MAX: 13.98MIN: 12.78 / MAX: 27.66MIN: 12.71 / MAX: 28.81MIN: 12.59 / MAX: 16.42MIN: 14.1 / MAX: 125.1MIN: 16.26 / MAX: 23.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: vgg16EPYC 7542EPYC 7502PEPYC 7F32EPYC 7532EPYC 7702EPYC 7F52EPYC 7282918273645SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.37, N = 3SE +/- 0.23, N = 12SE +/- 0.11, N = 3SE +/- 0.06, N = 331.5531.6033.6733.8138.6339.0340.03MIN: 31.2 / MAX: 34.12MIN: 31.34 / MAX: 33.82MIN: 33.38 / MAX: 34.39MIN: 32.79 / MAX: 97.48MIN: 36.39 / MAX: 183.6MIN: 38.43 / MAX: 68.5MIN: 38.49 / MAX: 116.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: googlenetEPYC 7F32EPYC 7F52EPYC 7282EPYC 7502PEPYC 7542EPYC 7532EPYC 7702816243240SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.39, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.22, N = 3SE +/- 1.10, N = 1216.1218.7918.9319.9619.9821.0332.82MIN: 15.75 / MAX: 17.12MIN: 18.44 / MAX: 21.28MIN: 17.94 / MAX: 109.8MIN: 18.88 / MAX: 22.57MIN: 19.48 / MAX: 22.94MIN: 20.33 / MAX: 34.92MIN: 27.88 / MAX: 266.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: blazefaceEPYC 7F32EPYC 7F52EPYC 7282EPYC 7542EPYC 7502PEPYC 7532EPYC 7702246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.25, N = 123.283.683.864.604.614.838.36MIN: 3.19 / MAX: 3.52MIN: 3.61 / MAX: 3.81MIN: 3.62 / MAX: 18.81MIN: 4.47 / MAX: 4.78MIN: 4.42 / MAX: 6.48MIN: 4.58 / MAX: 5.04MIN: 7.23 / MAX: 12.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: efficientnet-b0EPYC 7F32EPYC 7282EPYC 7F52EPYC 7542EPYC 7502PEPYC 7532EPYC 7702612182430SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.60, N = 1210.5010.6511.4413.0213.2314.0024.96MIN: 10.31 / MAX: 10.7MIN: 9.93 / MAX: 24.56MIN: 11.21 / MAX: 12.05MIN: 12.47 / MAX: 25.94MIN: 12.57 / MAX: 15.52MIN: 13.26 / MAX: 16.53MIN: 19.33 / MAX: 169.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: mnasnetEPYC 7F32EPYC 7282EPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7702510152025SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 2SE +/- 0.32, N = 3SE +/- 0.55, N = 3SE +/- 0.17, N = 3SE +/- 0.87, N = 126.227.257.869.349.499.9419.28MIN: 6.06 / MAX: 8.58MIN: 6.73 / MAX: 57.32MIN: 7.64 / MAX: 8.58MIN: 8.75 / MAX: 11.53MIN: 8.73 / MAX: 13.47MIN: 9.35 / MAX: 24.23MIN: 14.29 / MAX: 168.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: shufflenet-v2EPYC 7282EPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7532EPYC 770248121620SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.41, N = 128.839.049.599.929.9310.5615.99MIN: 8.29 / MAX: 60.32MIN: 8.92 / MAX: 9.24MIN: 9.42 / MAX: 10.31MIN: 9.58 / MAX: 10.17MIN: 9.59 / MAX: 13.42MIN: 10.2 / MAX: 10.78MIN: 14.24 / MAX: 31.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3-v3-v3 - Model: mobilenet-v3EPYC 7F32EPYC 7282EPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 7702510152025SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.33, N = 3SE +/- 0.17, N = 3SE +/- 0.67, N = 126.587.417.989.399.4310.0319.11MIN: 6.06 / MAX: 7.03MIN: 6.82 / MAX: 32.46MIN: 7.73 / MAX: 11.22MIN: 8.87 / MAX: 13.81MIN: 8.79 / MAX: 12.92MIN: 9.45 / MAX: 13.2MIN: 14.3 / MAX: 154.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3-v2-v2 - Model: mobilenet-v2EPYC 7F32EPYC 7282EPYC 7F52EPYC 7542EPYC 7502PEPYC 7532EPYC 7702510152025SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.25, N = 3SE +/- 0.39, N = 3SE +/- 0.88, N = 127.188.028.9710.0610.3911.0320.46MIN: 6.95 / MAX: 7.82MIN: 7.51 / MAX: 76.17MIN: 8.51 / MAX: 12.91MIN: 9.44 / MAX: 14.1MIN: 9.62 / MAX: 14.89MIN: 10.18 / MAX: 15.94MIN: 15.14 / MAX: 154.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3-v3 - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: mobilenetEPYC 7542EPYC 7F32EPYC 7502PEPYC 7282EPYC 7F52EPYC 7532EPYC 7702816243240SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.23, N = 3SE +/- 1.08, N = 1220.6120.6820.8020.8821.5523.4135.12MIN: 19.95 / MAX: 22.84MIN: 20.27 / MAX: 23.55MIN: 20.4 / MAX: 23.29MIN: 19.94 / MAX: 96.87MIN: 21.03 / MAX: 22.43MIN: 22.2 / MAX: 116.55MIN: 28.92 / MAX: 297.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Minion

Benchmark: Quasigroup

OpenBenchmarking.orgSeconds, Fewer Is BetterMinion 1.8Benchmark: QuasigroupEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7642EPYC 7532EPYC 7662EPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P306090120150SE +/- 0.12, N = 3SE +/- 0.39, N = 3SE +/- 0.55, N = 3SE +/- 0.46, N = 3SE +/- 0.44, N = 3SE +/- 0.49, N = 3SE +/- 0.18, N = 3SE +/- 0.37, N = 3SE +/- 0.28, N = 3SE +/- 0.31, N = 3SE +/- 0.37, N = 3SE +/- 0.80, N = 3SE +/- 0.38, N = 3SE +/- 0.50, N = 3114.91114.95132.23133.23133.73134.93135.09135.33135.90136.07136.52140.13140.43140.531. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic

Appleseed

Scene: Material Tester

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterEPYC 7402PEPYC 7542EPYC 7502PEPYC 7282EPYC 7552EPYC 7642EPYC 7532EPYC 7662EPYC 7702EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P60120180240300173.05173.16173.53177.85182.38185.01186.27187.07188.84191.51192.28210.16247.66278.32

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60120180240300SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.20, N = 3SE +/- 0.51, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 354.6554.7163.4764.2179.1185.0187.56103.00125.53147.38157.17200.35243.84296.691. (CXX) g++ options: -O2 -lOpenCL

Renaissance

Test: Genetic Algorithm Using Jenetics + Futures

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Genetic Algorithm Using Jenetics + FuturesEPYC 7402PEPYC 770230060090012001500SE +/- 4.27, N = 5SE +/- 7.23, N = 51468.681479.04

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7662EPYC 7642EPYC 7542EPYC 7552EPYC 7502PEPYC 7702EPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P714212835SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 331.8429.3727.6727.5026.5126.4925.3523.3420.0017.3916.6113.6712.069.30

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUEPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7532EPYC 7282EPYC 7552EPYC 7642EPYC 7F32EPYC 7272EPYC 7F52EPYC 7662EPYC 7232PEPYC 770260120180240300SE +/- 0.67, N = 3SE +/- 0.17, N = 3SE +/- 0.88, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 0.33, N = 3SE +/- 0.50, N = 3SE +/- 1.01, N = 3SE +/- 1.00, N = 3SE +/- 0.29, N = 3SE +/- 0.93, N = 3SE +/- 0.60, N = 3SE +/- 1.30, N = 32852802772772712672642632622592482432432401. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7702EPYC 7662EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60120180240300SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 345.8045.8454.3467.9573.3875.2789.07109.17129.26137.78176.04214.44262.141. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7532EPYC 7552EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7282EPYC 7272EPYC 7F321224364860SE +/- 1.06, N = 15SE +/- 0.96, N = 12SE +/- 0.67, N = 3SE +/- 1.23, N = 12SE +/- 1.28, N = 12SE +/- 0.36, N = 3SE +/- 0.81, N = 15SE +/- 0.69, N = 12SE +/- 0.68, N = 15SE +/- 0.49, N = 13SE +/- 0.37, N = 15SE +/- 0.77, N = 12SE +/- 0.72, N = 1551.3949.7849.1946.3945.2344.3643.7041.1132.7232.5330.1225.1724.851. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUEPYC 7702EPYC 7662EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P10K20K30K40K50KSE +/- 469.86, N = 3SE +/- 392.90, N = 8SE +/- 284.86, N = 11SE +/- 305.20, N = 6SE +/- 298.29, N = 3SE +/- 144.16, N = 3SE +/- 165.84, N = 3SE +/- 120.35, N = 3SE +/- 140.41, N = 4SE +/- 117.08, N = 4SE +/- 50.21, N = 3452924465837843306322844828401195211524612198100447864

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60120180240300SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.30, N = 3SE +/- 0.46, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.24, N = 3SE +/- 0.81, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 355.4055.8261.9362.7272.2778.0178.9491.81108.40129.81139.46177.65207.12267.24

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7302PEPYC 7532EPYC 7642EPYC 7662EPYC 7552EPYC 7282EPYC 7272EPYC 7232P20406080100SE +/- 0.58, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.50, N = 3SE +/- 0.65, N = 3SE +/- 0.46, N = 3SE +/- 0.56, N = 3SE +/- 0.36, N = 3SE +/- 0.98, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.58, N = 3SE +/- 0.54, N = 3SE +/- 1.23, N = 592.0893.08103.80105.24105.28106.58106.77107.48107.70107.88108.25108.86109.60110.501. (CXX) g++ options: -O2 -lOpenCL

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7F32EPYC 7542EPYC 7402PEPYC 7662EPYC 7702EPYC 7532EPYC 7502PEPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7F52EPYC 7232P2K4K6K8K10KSE +/- 12.37, N = 15SE +/- 71.90, N = 3SE +/- 36.49, N = 3SE +/- 42.91, N = 3SE +/- 25.22, N = 14SE +/- 51.28, N = 3SE +/- 31.02, N = 3SE +/- 28.28, N = 5SE +/- 35.59, N = 3SE +/- 51.98, N = 3SE +/- 37.27, N = 3SE +/- 33.96, N = 3SE +/- 28.32, N = 510561.910292.510256.310249.310219.510188.610184.510156.510132.110110.910070.210068.510057.81. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7F52EPYC 7F32EPYC 7542EPYC 7402PEPYC 7662EPYC 7502PEPYC 7702EPYC 7552EPYC 7302PEPYC 7532EPYC 7232PEPYC 7272EPYC 72821224364860SE +/- 0.42, N = 3SE +/- 0.36, N = 15SE +/- 0.28, N = 3SE +/- 0.34, N = 3SE +/- 0.42, N = 3SE +/- 0.39, N = 3SE +/- 0.30, N = 14SE +/- 0.48, N = 5SE +/- 0.42, N = 3SE +/- 0.02, N = 3SE +/- 0.44, N = 5SE +/- 0.61, N = 3SE +/- 0.13, N = 352.0251.9545.1345.0944.8044.6844.5444.4943.9843.6943.1742.9442.251. (CC) gcc options: -O3

C-Blosc

Compressor: blosclz

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7F32EPYC 7F52EPYC 7302PEPYC 7532EPYC 7402PEPYC 7542EPYC 7502PEPYC 7272EPYC 7282EPYC 7232PEPYC 7642EPYC 7552EPYC 7702EPYC 76622K4K6K8K10KSE +/- 15.51, N = 3SE +/- 27.57, N = 3SE +/- 5.79, N = 3SE +/- 8.53, N = 3SE +/- 4.79, N = 3SE +/- 0.44, N = 3SE +/- 6.00, N = 3SE +/- 6.54, N = 3SE +/- 21.69, N = 3SE +/- 13.17, N = 3SE +/- 9.12, N = 3SE +/- 22.60, N = 3SE +/- 20.77, N = 3SE +/- 18.47, N = 311206.810910.110476.810253.310178.39878.09808.09442.99400.79386.89301.09155.08372.78328.21. (CXX) g++ options: -rdynamic

Facebook RocksDB

Test: Sequential Fill

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillEPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7F52EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232PEPYC 7552EPYC 7642EPYC 7702EPYC 7662200K400K600K800K1000KSE +/- 7271.02, N = 3SE +/- 6414.70, N = 3SE +/- 9904.69, N = 4SE +/- 4243.12, N = 3SE +/- 3857.18, N = 3SE +/- 7660.92, N = 6SE +/- 6451.00, N = 3SE +/- 198.51, N = 3SE +/- 3955.87, N = 3SE +/- 6504.38, N = 3SE +/- 6981.82, N = 3SE +/- 1276.30, N = 3SE +/- 1138.19, N = 3SE +/- 1119.16, N = 38857228819868382248253747757967566767562687058556245026113025362425275414510034471911. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7542EPYC 7502PEPYC 7552EPYC 7702EPYC 7662EPYC 7642EPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P50K100K150K200K250KSE +/- 2207.46, N = 15SE +/- 2790.65, N = 3SE +/- 1126.54, N = 3SE +/- 1230.73, N = 3SE +/- 2776.27, N = 3SE +/- 1690.31, N = 3SE +/- 2221.55, N = 3SE +/- 2693.44, N = 3SE +/- 1803.14, N = 3SE +/- 936.51, N = 3SE +/- 1793.27, N = 3SE +/- 388.59, N = 3SE +/- 224.51, N = 3SE +/- 244.34, N = 3236524233730230871227564219380215576211361200705144123136442135260931555811851734

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P2K4K6K8K10KSE +/- 215.48, N = 14SE +/- 72.85, N = 13SE +/- 113.98, N = 14SE +/- 49.30, N = 3SE +/- 157.39, N = 15SE +/- 179.55, N = 12SE +/- 135.96, N = 15SE +/- 8.85, N = 3SE +/- 3.02, N = 3SE +/- 46.80, N = 15SE +/- 6.92, N = 3SE +/- 22.88, N = 15SE +/- 8.24, N = 3SE +/- 24.63, N = 159581.069507.957961.647811.996242.216104.275725.794490.863522.442991.732965.292192.821769.461473.311. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7662EPYC 7642EPYC 7542EPYC 7552EPYC 7502PEPYC 7702EPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P918273645SE +/- 0.46, N = 4SE +/- 0.45, N = 3SE +/- 0.37, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.28, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.22, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 337.3835.2533.3332.6832.0531.8930.3627.8124.2921.2420.3416.7914.6711.41

Cpuminer-Opt

Algorithm: Deepcoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P10K20K30K40K50KSE +/- 2134.76, N = 15SE +/- 1295.28, N = 15SE +/- 1521.20, N = 15SE +/- 964.94, N = 15SE +/- 1900.37, N = 15SE +/- 991.42, N = 15SE +/- 38.44, N = 3SE +/- 94.04, N = 3SE +/- 333.56, N = 15SE +/- 407.34, N = 15SE +/- 14.53, N = 3SE +/- 78.72, N = 3SE +/- 73.09, N = 6SE +/- 0.23, N = 346113.0045051.0034363.0033589.0026546.0026493.0023013.0019363.0015338.0012793.0012697.009361.067644.106207.891. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P4080120160200SE +/- 0.56, N = 3SE +/- 0.31, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.38, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3190.19185.31179.72178.70152.78152.15146.29135.69129.77116.68114.49109.55107.2594.36MIN: 126.93 / MAX: 307.7MIN: 125.96 / MAX: 294.64MIN: 121.84 / MAX: 276.81MIN: 121.07 / MAX: 277.42MIN: 98.52 / MAX: 278.09MIN: 97.46 / MAX: 272.72MIN: 94.75 / MAX: 256.37MIN: 85.88 / MAX: 272.31MIN: 84.35 / MAX: 268.95MIN: 74.3 / MAX: 261.93MIN: 72.02 / MAX: 259.87MIN: 70.77 / MAX: 249.84MIN: 67.93 / MAX: 243.83MIN: 60.14 / MAX: 225.561. (CC) gcc options: -pthread

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineEPYC 7F52EPYC 7542EPYC 7662EPYC 7702EPYC 7642EPYC 7502PEPYC 7402PEPYC 7552EPYC 7532EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P306090120150SE +/- 0.59, N = 3SE +/- 0.80, N = 3SE +/- 0.45, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.60, N = 3SE +/- 0.58, N = 3SE +/- 1.10, N = 3SE +/- 0.65, N = 3SE +/- 0.45, N = 3SE +/- 1.07, N = 3SE +/- 0.92, N = 7SE +/- 0.64, N = 3SE +/- 1.44, N = 375.2383.8384.7984.8385.0385.7385.7686.0686.7088.3296.8598.52101.59141.25

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7542EPYC 7532EPYC 7502PEPYC 7642EPYC 7662EPYC 7552EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P50K100K150K200K250KSE +/- 115.93, N = 3SE +/- 115.78, N = 3SE +/- 797.17, N = 15SE +/- 34.51, N = 3SE +/- 833.99, N = 6SE +/- 275.99, N = 3SE +/- 718.53, N = 15SE +/- 414.30, N = 3SE +/- 244.85, N = 3SE +/- 652.17, N = 3SE +/- 183.23, N = 3SE +/- 219.52, N = 3SE +/- 54.60, N = 3SE +/- 42.10, N = 379313.684263.585462.886140.688093.792153.295873.7105046.0126743.0144445.0151235.0177540.0177928.0212253.0

FinanceBench

Benchmark: Bonds OpenMP

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPEPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7302PEPYC 7532EPYC 7552EPYC 7662EPYC 7272EPYC 7232PEPYC 728220K40K60K80K100KSE +/- 185.79, N = 3SE +/- 395.61, N = 3SE +/- 26.41, N = 3SE +/- 294.03, N = 3SE +/- 232.73, N = 3SE +/- 397.99, N = 3SE +/- 461.99, N = 3SE +/- 287.97, N = 3SE +/- 75.52, N = 3SE +/- 966.88, N = 3SE +/- 203.38, N = 3SE +/- 200.17, N = 3SE +/- 402.31, N = 376027.9876410.1186946.6188487.5788553.7888634.3189863.2690157.2890310.9090672.4592387.2592426.4992896.621. (CXX) g++ options: -O3 -march=native -fopenmp

JPEG XL

Input: PNG - Encode Speed: 7

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 7EPYC 7F52EPYC 7542EPYC 7502PEPYC 7F32EPYC 7532EPYC 72823691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.6910.0910.029.789.709.081. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileEPYC 7F52EPYC 7F32EPYC 7402PEPYC 7542EPYC 7502PEPYC 7702EPYC 7302PEPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7272EPYC 7282EPYC 7232P20406080100SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 383.0283.5094.8494.9795.8196.0997.2097.2297.3797.5597.9999.8499.92103.98

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P13K26K39K52K65KSE +/- 487.40, N = 3SE +/- 467.21, N = 3SE +/- 179.29, N = 3SE +/- 328.54, N = 3SE +/- 391.02, N = 6SE +/- 264.62, N = 15SE +/- 397.54, N = 5SE +/- 87.62, N = 3SE +/- 71.92, N = 3SE +/- 114.11, N = 3SE +/- 122.98, N = 3SE +/- 80.88, N = 3SE +/- 31.21, N = 3SE +/- 44.44, N = 36275462295544455357038904370853622333184271322348622022175501420411136

Timed MrBayes Analysis

Primate Phylogeny Analysis

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisEPYC 7F52EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7272EPYC 7232PEPYC 7282EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7702EPYC 7662306090120150SE +/- 0.24, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.29, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 3SE +/- 0.34, N = 3SE +/- 0.17, N = 3SE +/- 1.17, N = 4SE +/- 0.25, N = 3SE +/- 1.02, N = 372.4372.8985.9386.0086.7287.6088.6789.2094.2696.81102.45104.52115.27116.151. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 9.36, N = 3SE +/- 9.06, N = 3SE +/- 8.46, N = 3SE +/- 6.05, N = 3SE +/- 5.63, N = 3SE +/- 4.32, N = 3SE +/- 1.11, N = 3SE +/- 1.11, N = 3SE +/- 0.05, N = 3SE +/- 3.28, N = 3SE +/- 1.25, N = 3SE +/- 7.84, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 34019.093989.793322.993292.842389.762380.272333.541813.291410.591190.481156.26860.01705.21579.181. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

MBW

Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiBEPYC 7F32EPYC 7542EPYC 7502PEPYC 7662EPYC 7702EPYC 7552EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7272EPYC 7532EPYC 7282EPYC 7F522K4K6K8K10KSE +/- 5.81, N = 3SE +/- 2.76, N = 3SE +/- 16.71, N = 3SE +/- 4.98, N = 3SE +/- 18.50, N = 3SE +/- 10.51, N = 3SE +/- 18.97, N = 3SE +/- 19.18, N = 3SE +/- 7.74, N = 3SE +/- 6.09, N = 3SE +/- 27.37, N = 3SE +/- 16.74, N = 3SE +/- 3.26, N = 39215.249117.759078.889073.579048.749022.459012.118995.858983.768970.778963.648945.248872.561. (CC) gcc options: -O3 -march=native

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 24

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24EPYC 7F52EPYC 7502PEPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7532EPYC 7642EPYC 7272EPYC 7552EPYC 7F32EPYC 7662EPYC 7702EPYC 7232P20406080100SE +/- 0.45, N = 3SE +/- 1.14, N = 3SE +/- 0.45, N = 3SE +/- 0.52, N = 3SE +/- 0.89, N = 3SE +/- 0.51, N = 3SE +/- 0.64, N = 3SE +/- 0.03, N = 3SE +/- 1.02, N = 4SE +/- 0.35, N = 3SE +/- 0.48, N = 3SE +/- 0.34, N = 3SE +/- 0.55, N = 3SE +/- 0.41, N = 383.2886.2386.5786.6887.9489.4391.3291.5192.3592.5993.7997.3097.95107.011. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Montage Astronomical Image Mosaic Engine

Mosaic of M17, K band, 1.5 deg x 1.5 deg

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degEPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7642EPYC 7302PEPYC 7532EPYC 7552EPYC 7662EPYC 7282EPYC 7272EPYC 7232P20406080100SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 380.8580.9492.7793.8693.9294.7695.3995.4595.4895.5395.5698.2498.3198.411. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

Timed GDB GNU Debugger Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileEPYC 7F52EPYC 7542EPYC 7502PEPYC 7702EPYC 7552EPYC 7402PEPYC 7662EPYC 7642EPYC 7532EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P306090120150SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 382.9284.8385.9686.3786.9586.9787.0287.2188.4292.2694.0194.4899.22114.83

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7642EPYC 7702EPYC 7662EPYC 7552EPYC 7532EPYC 7302PEPYC 7282EPYC 7542EPYC 7F32EPYC 7272EPYC 7232P300K600K900K1200K1500KSE +/- 1998.87, N = 3SE +/- 607.09, N = 3SE +/- 771.81, N = 3SE +/- 472.72, N = 3SE +/- 1936.89, N = 3SE +/- 2041.67, N = 3SE +/- 2507.53, N = 3SE +/- 2350.83, N = 3SE +/- 842.53, N = 3SE +/- 1258.02, N = 3SE +/- 577.19, N = 3SE +/- 2229.96, N = 3SE +/- 1165.03, N = 3SE +/- 1045.78, N = 31262530.41248284.11247037.61215056.11212918.21209698.01208480.81197778.91188387.21172021.11162690.91155871.81143360.51041996.8

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 36.005.925.155.104.043.753.703.072.342.151.981.551.270.99MIN: 5.92 / MAX: 6.06MIN: 5.85 / MAX: 5.99MIN: 5.08 / MAX: 5.21MIN: 5.05 / MAX: 5.15MIN: 3.98 / MAX: 4.07MIN: 3.72 / MAX: 3.77MIN: 3.64 / MAX: 3.73MIN: 3.02 / MAX: 3.11MIN: 2.29 / MAX: 2.38MIN: 2.13 / MAX: 2.16MIN: 1.96 / MAX: 1.99MIN: 1.54 / MAX: 1.57MIN: 1.26 / MAX: 1.28MAX: 1

Timed Godot Game Engine Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 7642EPYC 7662EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P4080120160200SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.31, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.26, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 3SE +/- 0.30, N = 361.8162.2762.4862.5666.5769.4269.6276.1684.2196.77103.74122.41136.62172.13

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P4080120160200SE +/- 0.12, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 3SE +/- 0.42, N = 3SE +/- 0.06, N = 3SE +/- 0.37, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.27, N = 3SE +/- 0.95, N = 3SE +/- 0.34, N = 3SE +/- 0.34, N = 3SE +/- 0.25, N = 3SE +/- 1.01, N = 340.0740.3345.7846.5955.3260.7561.2569.8483.45102.29108.34136.20156.31198.45

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1.02172.04343.06514.08685.1085SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.013, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.011, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 34.5414.3734.1173.8633.3233.2673.1282.7412.0141.9951.6771.4091.3450.9851. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7662EPYC 7702EPYC 7642EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P700K1400K2100K2800K3500KSE +/- 4181.60, N = 3SE +/- 6234.46, N = 7SE +/- 837.49, N = 3SE +/- 149.07, N = 3SE +/- 1818.31, N = 3SE +/- 466.83, N = 3SE +/- 386.91, N = 3SE +/- 1259.14, N = 3SE +/- 1646.01, N = 3SE +/- 366.38, N = 3SE +/- 1027.95, N = 3SE +/- 518.11, N = 3SE +/- 314.32, N = 3SE +/- 326.24, N = 36552797026078307308406048935178978849218651206790134615315670701639167224295025929703136920

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P306090120150SE +/- 0.22, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.30, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.23, N = 3SE +/- 0.15, N = 3SE +/- 0.29, N = 367.9768.2969.4369.8671.4674.2074.4875.8576.6587.6694.35105.71113.26145.44

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7F52EPYC 7702EPYC 7502PEPYC 7642EPYC 7662EPYC 7402PEPYC 7552EPYC 7532EPYC 7F32EPYC 7302PEPYC 7282EPYC 7542EPYC 7272EPYC 7232P300K600K900K1200K1500KSE +/- 2686.24, N = 3SE +/- 628.66, N = 3SE +/- 702.94, N = 3SE +/- 1733.41, N = 3SE +/- 762.66, N = 3SE +/- 2008.07, N = 3SE +/- 686.09, N = 3SE +/- 759.90, N = 3SE +/- 1176.92, N = 3SE +/- 1121.87, N = 3SE +/- 1061.91, N = 3SE +/- 295.02, N = 3SE +/- 1242.45, N = 3SE +/- 1442.60, N = 31438050.41308517.21303437.61295588.81294664.51290897.81288738.61281490.51279851.81249264.61211354.31206497.81185857.81113861.3

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7662EPYC 7702EPYC 7642EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P700K1400K2100K2800K3500KSE +/- 3136.75, N = 3SE +/- 6069.08, N = 3SE +/- 1781.71, N = 3SE +/- 425.74, N = 3SE +/- 907.34, N = 3SE +/- 487.90, N = 3SE +/- 143.80, N = 3SE +/- 1233.46, N = 3SE +/- 192.21, N = 3SE +/- 272.21, N = 3SE +/- 565.25, N = 3SE +/- 436.36, N = 3SE +/- 227.03, N = 3SE +/- 1129.29, N = 3700833764269938691943229978828100634710343671366410149918317428901820153249374728722273472940

GnuPG

2.7GB Sample File Encryption

OpenBenchmarking.orgSeconds, Fewer Is BetterGnuPG 2.2.272.7GB Sample File EncryptionEPYC 7F32EPYC 7F52EPYC 7542EPYC 7402PEPYC 7502PEPYC 7702EPYC 7662EPYC 7532EPYC 7302PEPYC 7642EPYC 7552EPYC 7272EPYC 7232PEPYC 728220406080100SE +/- 0.36, N = 3SE +/- 0.29, N = 3SE +/- 0.30, N = 3SE +/- 0.84, N = 3SE +/- 0.75, N = 3SE +/- 0.76, N = 3SE +/- 0.88, N = 3SE +/- 0.48, N = 3SE +/- 0.95, N = 3SE +/- 0.80, N = 3SE +/- 0.71, N = 3SE +/- 0.94, N = 3SE +/- 0.53, N = 3SE +/- 0.25, N = 373.7573.8583.9084.4385.0285.2485.7385.7985.8286.3686.3788.4488.4489.681. (CC) gcc options: -O2

Appleseed

Scene: Disney Material

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P6012018024030067.3367.7470.4973.3381.8387.5189.01105.69118.48149.34151.86195.08225.09265.54

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4EPYC 7642EPYC 7532EPYC 7662EPYC 7552EPYC 7402PEPYC 7702EPYC 7542EPYC 7502PEPYC 7302PEPYC 7F32EPYC 7272EPYC 7282EPYC 7232PEPYC 7F5250M100M150M200M250MSE +/- 5572341.62, N = 12SE +/- 5452949.69, N = 15SE +/- 2208966.30, N = 15SE +/- 1883204.11, N = 15SE +/- 481377.88, N = 4SE +/- 2966178.44, N = 15SE +/- 3811837.38, N = 15SE +/- 2175939.87, N = 3SE +/- 3144064.63, N = 15SE +/- 1036502.10, N = 15SE +/- 1366026.89, N = 3SE +/- 927929.45, N = 9SE +/- 1075776.09, N = 4SE +/- 574642.20, N = 15230851783216525133215771227211310307209811150199683960187397007176798867162898387129536920121256433112489722100898758714133941. (CXX) g++ options: -O3 -fopenmp

GROMACS

Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021Input: water_GMX50_bareEPYC 7662EPYC 7702EPYC 7542EPYC 7532EPYC 7502PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F321.01992.03983.05974.07965.0995SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 34.5334.3713.3173.2563.1402.3131.6751.4071.3481. (CXX) g++ options: -O3 -pthread

Parboil

Test: OpenMP MRI Gridding

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP MRI GriddingEPYC 7F32EPYC 7F52EPYC 7272EPYC 7282EPYC 7402PEPYC 7232PEPYC 7542EPYC 7502PEPYC 7552EPYC 7642EPYC 7302PEPYC 7662EPYC 7702EPYC 7532306090120150SE +/- 0.15, N = 3SE +/- 0.24, N = 3SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.03, N = 3SE +/- 0.88, N = 3SE +/- 0.29, N = 3SE +/- 0.22, N = 3SE +/- 0.29, N = 3SE +/- 0.83, N = 3SE +/- 0.11, N = 3SE +/- 0.63, N = 3SE +/- 0.77, N = 3SE +/- 0.28, N = 334.0449.0151.6562.2965.4275.4375.4476.1993.4895.4095.77109.30110.47128.291. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7552EPYC 7402PEPYC 7F52EPYC 7532EPYC 7662EPYC 7702EPYC 7302PEPYC 7542EPYC 7502PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 0.57, N = 3SE +/- 1.32, N = 3SE +/- 0.54, N = 3SE +/- 2.05, N = 3SE +/- 2.63, N = 3SE +/- 8.27, N = 3SE +/- 5.75, N = 3SE +/- 2.99, N = 3SE +/- 1.42, N = 3SE +/- 5.60, N = 3SE +/- 1.43, N = 3SE +/- 1.59, N = 3SE +/- 0.86, N = 3SE +/- 5.10, N = 31213.581350.551672.242013.752214.792221.332306.332412.792718.682738.422836.683056.053345.104345.12MIN: 1190.99MIN: 1331.05MIN: 1658.48MIN: 1995.38MIN: 2191.84MIN: 2189.19MIN: 2274.33MIN: 2397.68MIN: 2705.41MIN: 2722.76MIN: 2798.53MIN: 3041.35MIN: 3322.56MIN: 4298.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7642EPYC 7552EPYC 7402PEPYC 7F52EPYC 7662EPYC 7532EPYC 7702EPYC 7302PEPYC 7542EPYC 7502PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 3.66, N = 3SE +/- 1.28, N = 3SE +/- 0.94, N = 3SE +/- 0.63, N = 3SE +/- 0.34, N = 3SE +/- 5.96, N = 3SE +/- 9.75, N = 3SE +/- 3.71, N = 3SE +/- 2.51, N = 3SE +/- 4.79, N = 3SE +/- 1.77, N = 3SE +/- 0.81, N = 3SE +/- 2.55, N = 3SE +/- 4.35, N = 31211.541350.131673.311997.392203.162221.372314.362407.932716.542740.522835.353059.193348.064348.88MIN: 1187.15MIN: 1333.75MIN: 1660.31MIN: 1989.1MIN: 2183.71MIN: 2198.48MIN: 2276.78MIN: 2392.45MIN: 2705.25MIN: 2722.51MIN: 2800.15MIN: 3051.11MIN: 3331.21MIN: 4311.941. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7552EPYC 7402PEPYC 7F52EPYC 7662EPYC 7532EPYC 7702EPYC 7302PEPYC 7542EPYC 7502PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 2.03, N = 3SE +/- 1.92, N = 3SE +/- 1.08, N = 3SE +/- 6.65, N = 3SE +/- 11.35, N = 3SE +/- 5.23, N = 3SE +/- 3.86, N = 3SE +/- 0.38, N = 3SE +/- 2.43, N = 3SE +/- 2.18, N = 3SE +/- 2.25, N = 3SE +/- 3.17, N = 3SE +/- 0.89, N = 3SE +/- 1.97, N = 31210.041352.621674.662013.242230.182230.352296.532410.232721.872743.712834.093057.083345.674347.66MIN: 1190.59MIN: 1333.53MIN: 1660.31MIN: 1992.69MIN: 2194.78MIN: 2212.66MIN: 2270.01MIN: 2395.31MIN: 2708.11MIN: 2727.14MIN: 2799.34MIN: 3044.36MIN: 3327MIN: 4308.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P2M4M6M8M10MSE +/- 47749.78, N = 3SE +/- 27617.12, N = 3SE +/- 44027.23, N = 3SE +/- 69440.76, N = 6SE +/- 55384.00, N = 3SE +/- 24292.51, N = 3SE +/- 32730.71, N = 3SE +/- 43537.48, N = 3SE +/- 25144.15, N = 3SE +/- 26792.49, N = 3SE +/- 8186.58, N = 3SE +/- 24217.23, N = 3SE +/- 10805.74, N = 13SE +/- 1710.84, N = 3823247481753837183579713160055644335486066521430243976953086237302323930123872357928160367314706211. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Minion

Benchmark: Solitaire

OpenBenchmarking.orgSeconds, Fewer Is BetterMinion 1.8Benchmark: SolitaireEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7642EPYC 7532EPYC 7662EPYC 7552EPYC 7302PEPYC 7272EPYC 7282EPYC 7232P20406080100SE +/- 0.11, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.32, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.33, N = 3SE +/- 0.13, N = 367.7467.8077.8079.0079.0379.3979.7279.8580.1280.1580.3381.9782.1582.841. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic

JPEG XL Decoding

CPU Threads: 1

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: 1EPYC 7F32EPYC 7F52EPYC 7542EPYC 7532EPYC 7282918273645SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 338.4237.9434.2232.6932.16

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7542EPYC 7282EPYC 7F32EPYC 7F52EPYC 7302PEPYC 7502PEPYC 7272EPYC 7402PEPYC 7532EPYC 7232PEPYC 7552EPYC 7642EPYC 7662EPYC 77020.27230.54460.81691.08921.3615SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.780.790.810.840.840.890.920.950.980.991.021.061.21

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7F52EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P6K12K18K24K30KSE +/- 46.32, N = 3SE +/- 28.57, N = 3SE +/- 55.79, N = 3SE +/- 31.70, N = 3SE +/- 85.72, N = 3SE +/- 42.04, N = 3SE +/- 22.86, N = 3SE +/- 95.61, N = 3SE +/- 50.79, N = 3SE +/- 43.76, N = 3SE +/- 21.57, N = 3SE +/- 89.67, N = 3SE +/- 52.69, N = 3SE +/- 41.71, N = 1528284.8725067.0423441.9122986.0519922.0118612.5416446.8812800.5910017.989663.439316.806689.954953.654012.40

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P140K280K420K560K700KSE +/- 5351.86, N = 13SE +/- 12582.41, N = 12SE +/- 9107.04, N = 12SE +/- 6158.44, N = 12SE +/- 2411.69, N = 3SE +/- 2127.92, N = 3SE +/- 4313.15, N = 3SE +/- 3944.26, N = 15SE +/- 335.77, N = 3SE +/- 981.65, N = 3SE +/- 1328.09, N = 3SE +/- 728.58, N = 3SE +/- 654.80, N = 15SE +/- 611.43, N = 663103860585247050246822732442031725031635021053918240315103015028710514079365636481. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Facebook RocksDB

Test: Random Fill

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillEPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7F52EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232PEPYC 7552EPYC 7642EPYC 7702EPYC 7662200K400K600K800K1000KSE +/- 4338.82, N = 3SE +/- 6323.38, N = 3SE +/- 2994.50, N = 3SE +/- 10119.73, N = 3SE +/- 9036.88, N = 4SE +/- 6124.02, N = 3SE +/- 5524.24, N = 9SE +/- 6225.31, N = 6SE +/- 6471.76, N = 5SE +/- 6988.75, N = 3SE +/- 4097.81, N = 3SE +/- 3532.96, N = 3SE +/- 1303.40, N = 3SE +/- 227.93, N = 38602258468878068148050667353816990776920446560555814075458165219105184464515474428641. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7F52EPYC 7F32EPYC 7402PEPYC 7542EPYC 7502PEPYC 7702EPYC 7302PEPYC 7662EPYC 7532EPYC 7642EPYC 7552EPYC 7282EPYC 7272EPYC 7232P20406080100SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.54, N = 3SE +/- 0.19, N = 3SE +/- 0.36, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 366.5267.3075.9176.1677.1977.6177.7477.9478.0778.2378.2680.0580.1981.511. (CC) gcc options: -O2 -ldl -lz -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7552EPYC 7662EPYC 7532EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5001000150020002500SE +/- 3.28, N = 3SE +/- 2.09, N = 3SE +/- 1.88, N = 3SE +/- 1.32, N = 3SE +/- 2.81, N = 3SE +/- 1.35, N = 3SE +/- 2.58, N = 3SE +/- 1.57, N = 3SE +/- 3.97, N = 3SE +/- 0.54, N = 3SE +/- 0.95, N = 3SE +/- 5.33, N = 3SE +/- 4.61, N = 3SE +/- 3.61, N = 3734.40784.82793.23812.99878.20886.88919.61974.12998.671227.561742.791886.302032.882397.22MIN: 716.82MIN: 771.05MIN: 777.03MIN: 799.51MIN: 851.72MIN: 865.5MIN: 906.32MIN: 962.55MIN: 987.09MIN: 1218.44MIN: 1728.82MIN: 1851.55MIN: 2016.92MIN: 2370.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7552EPYC 7662EPYC 7532EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5001000150020002500SE +/- 1.28, N = 3SE +/- 2.70, N = 3SE +/- 1.17, N = 3SE +/- 1.51, N = 3SE +/- 3.54, N = 3SE +/- 4.31, N = 3SE +/- 5.72, N = 3SE +/- 0.91, N = 3SE +/- 1.61, N = 3SE +/- 0.19, N = 3SE +/- 0.51, N = 3SE +/- 3.12, N = 3SE +/- 2.69, N = 3SE +/- 2.26, N = 3732.81787.43793.20813.12874.44890.48902.26972.93997.851229.691745.541882.642022.452397.56MIN: 712.9MIN: 769.99MIN: 776.66MIN: 799.88MIN: 847.07MIN: 867.03MIN: 882.8MIN: 960.02MIN: 987.15MIN: 1221.64MIN: 1733.89MIN: 1853.21MIN: 2012.67MIN: 2367.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7642EPYC 7552EPYC 7662EPYC 7532EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5001000150020002500SE +/- 2.51, N = 3SE +/- 1.66, N = 3SE +/- 0.96, N = 3SE +/- 2.11, N = 3SE +/- 3.99, N = 3SE +/- 1.82, N = 3SE +/- 5.94, N = 3SE +/- 0.65, N = 3SE +/- 0.99, N = 3SE +/- 1.03, N = 3SE +/- 2.16, N = 3SE +/- 4.32, N = 3SE +/- 1.28, N = 3SE +/- 4.09, N = 3735.82782.65792.55814.03875.71888.54917.61972.77999.141228.501744.751884.702029.282398.98MIN: 715.63MIN: 769.36MIN: 773.96MIN: 801.22MIN: 846.67MIN: 872.96MIN: 892.04MIN: 962.66MIN: 991.16MIN: 1219.05MIN: 1731.94MIN: 1853.9MIN: 2020.38MIN: 2367.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Perl Benchmarks

Test: Pod2html

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlEPYC 7F32EPYC 7F52EPYC 7402PEPYC 7542EPYC 7502PEPYC 7642EPYC 7702EPYC 7662EPYC 7302PEPYC 7532EPYC 7552EPYC 7282EPYC 7272EPYC 7232P0.03520.07040.10560.14080.176SE +/- 0.00007037, N = 3SE +/- 0.00013172, N = 3SE +/- 0.00052181, N = 3SE +/- 0.00010921, N = 3SE +/- 0.00050264, N = 3SE +/- 0.00113052, N = 3SE +/- 0.00022828, N = 3SE +/- 0.00009609, N = 3SE +/- 0.00104595, N = 3SE +/- 0.00097851, N = 3SE +/- 0.00076232, N = 3SE +/- 0.00047942, N = 3SE +/- 0.00070595, N = 3SE +/- 0.00101629, N = 30.128195450.129242850.145735970.148508120.148592730.148682530.149543390.149767950.149784890.149882930.151249760.153417050.154578900.15653208

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P400K800K1200K1600K2000KSE +/- 473.83, N = 3SE +/- 1046.01, N = 3SE +/- 10873.39, N = 3SE +/- 1150.50, N = 3SE +/- 609.31, N = 3SE +/- 707.15, N = 3SE +/- 1542.09, N = 3SE +/- 1470.27, N = 3SE +/- 1815.81, N = 3SE +/- 538.09, N = 3SE +/- 270.65, N = 3SE +/- 818.34, N = 3SE +/- 102.44, N = 31867023.461845888.801530338.791203386.721147733.951123555.30902070.15716393.88603381.33586659.10440879.64356570.41293387.401. (CC) gcc options: -O2 -lrt" -lrt

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7662EPYC 7532EPYC 7642EPYC 7552EPYC 7302PEPYC 7402PEPYC 7702EPYC 7282EPYC 7272EPYC 7232P9001800270036004500SE +/- 38.21, N = 3SE +/- 33.69, N = 3SE +/- 9.42, N = 3SE +/- 43.10, N = 4SE +/- 47.38, N = 4SE +/- 42.46, N = 3SE +/- 44.49, N = 4SE +/- 31.29, N = 9SE +/- 46.66, N = 4SE +/- 37.84, N = 3SE +/- 36.48, N = 3SE +/- 17.87, N = 3SE +/- 37.21, N = 3SE +/- 25.83, N = 34367.124336.413988.943853.503837.563830.203816.083793.173792.813765.853762.493756.963634.173589.931. (CC) gcc options: -O3 -mavx2

Renaissance

Test: Twitter HTTP Requests

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsEPYC 7402PEPYC 77028001600240032004000SE +/- 19.25, N = 5SE +/- 17.47, N = 52698.593811.02

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupEPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7532EPYC 7662EPYC 7302PEPYC 7552EPYC 7642EPYC 7272EPYC 7282EPYC 7232P3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 37.477.548.578.628.718.728.798.808.828.838.849.069.139.49

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P30060090012001500SE +/- 32.30, N = 15SE +/- 29.63, N = 14SE +/- 1.46, N = 3SE +/- 11.98, N = 15SE +/- 2.23, N = 3SE +/- 37.08, N = 15SE +/- 39.35, N = 15SE +/- 0.86, N = 3SE +/- 1.25, N = 3SE +/- 0.74, N = 3SE +/- 1.04, N = 3SE +/- 0.69, N = 3SE +/- 1.31, N = 3SE +/- 1.33, N = 31398.771360.061147.361139.38891.02883.87862.81807.02524.31447.01429.51322.83262.90216.581. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7F32EPYC 7502PEPYC 7542EPYC 7402PEPYC 7302PEPYC 7662EPYC 7702EPYC 7552EPYC 7532EPYC 7282EPYC 7272EPYC 7F52EPYC 7232P2K4K6K8K10KSE +/- 34.53, N = 3SE +/- 14.46, N = 3SE +/- 29.33, N = 3SE +/- 36.01, N = 4SE +/- 93.14, N = 3SE +/- 44.06, N = 3SE +/- 18.64, N = 7SE +/- 54.81, N = 3SE +/- 43.54, N = 3SE +/- 66.67, N = 3SE +/- 29.05, N = 3SE +/- 89.78, N = 3SE +/- 44.49, N = 310567.210232.810222.410209.310172.710170.710162.010159.710118.010112.210101.010099.610063.01. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7F52EPYC 7F32EPYC 7402PEPYC 7542EPYC 7502PEPYC 7702EPYC 7552EPYC 7662EPYC 7232PEPYC 7532EPYC 7302PEPYC 7282EPYC 72721224364860SE +/- 0.01, N = 3SE +/- 0.35, N = 3SE +/- 0.55, N = 4SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.42, N = 7SE +/- 0.65, N = 3SE +/- 0.31, N = 3SE +/- 0.43, N = 3SE +/- 0.37, N = 3SE +/- 0.53, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 352.8252.7945.9845.9045.7745.6945.3845.1944.9344.6944.5344.3843.231. (CC) gcc options: -O3

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7662EPYC 7642EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P1.05532.11063.16594.22125.2765SE +/- 0.006, N = 3SE +/- 0.016, N = 3SE +/- 0.022, N = 3SE +/- 0.016, N = 3SE +/- 0.024, N = 3SE +/- 0.015, N = 15SE +/- 0.017, N = 3SE +/- 0.008, N = 3SE +/- 0.021, N = 15SE +/- 0.029, N = 12SE +/- 0.024, N = 15SE +/- 0.009, N = 3SE +/- 0.011, N = 3SE +/- 0.004, N = 31.6431.7011.7591.7981.9151.9352.1012.1032.5962.6062.6973.1374.1454.6901. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 100 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteEPYC 7662EPYC 7642EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P13K26K39K52K65KSE +/- 229.52, N = 3SE +/- 539.78, N = 3SE +/- 709.54, N = 3SE +/- 486.09, N = 3SE +/- 676.58, N = 3SE +/- 406.89, N = 15SE +/- 387.48, N = 3SE +/- 174.06, N = 3SE +/- 309.38, N = 15SE +/- 447.90, N = 12SE +/- 337.73, N = 15SE +/- 91.21, N = 3SE +/- 63.04, N = 3SE +/- 18.98, N = 360949588895694555699523255179447662476153858638458371523189624137213341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeEPYC 7702EPYC 7662EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20M40M60M80M100MSE +/- 597478.91, N = 3SE +/- 1212155.43, N = 4SE +/- 82765.80, N = 3SE +/- 88880.09, N = 3SE +/- 436034.06, N = 15SE +/- 708563.50, N = 4SE +/- 304616.08, N = 3SE +/- 416432.88, N = 3SE +/- 332801.18, N = 6SE +/- 236966.05, N = 10SE +/- 71263.56, N = 3SE +/- 79798.13, N = 3SE +/- 150250.14, N = 31009084539884746982397132641529296086461658384026488047323904341032973749312461372431444319191199160349941. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

Radiance Benchmark

Test: SMP Parallel

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelEPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7502PEPYC 7532EPYC 7402PEPYC 7552EPYC 7302PEPYC 7642EPYC 7662EPYC 7272EPYC 7282EPYC 7232P50100150200250184.49184.74214.26214.77215.16217.33217.55217.90218.14218.42219.26223.38224.52226.64

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7F32EPYC 7F52EPYC 7232PEPYC 7302PEPYC 7272EPYC 7542EPYC 7402PEPYC 7282EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 770211002200330044005500SE +/- 4.62, N = 3SE +/- 1.31, N = 3SE +/- 3.19, N = 3SE +/- 5.57, N = 3SE +/- 9.03, N = 3SE +/- 2.78, N = 3SE +/- 14.72, N = 3SE +/- 2.79, N = 3SE +/- 1.53, N = 3SE +/- 10.25, N = 3SE +/- 4.94, N = 3SE +/- 5.33, N = 3SE +/- 6.15, N = 3SE +/- 6.77, N = 32399.192643.393071.913145.893264.493276.523310.913344.393578.093757.354132.134197.604731.725170.99

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.626.025.675.534.744.374.203.532.992.512.371.811.661.29

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7F52EPYC 7F32EPYC 7542EPYC 7282EPYC 7272EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7532EPYC 7232PEPYC 7552EPYC 7642EPYC 7662EPYC 770290K180K270K360K450KSE +/- 428.23, N = 3SE +/- 183.84, N = 3SE +/- 3270.77, N = 3SE +/- 1079.81, N = 3SE +/- 1365.59, N = 3SE +/- 3460.73, N = 3SE +/- 430.27, N = 3SE +/- 639.41, N = 3SE +/- 2791.26, N = 3SE +/- 533.37, N = 3SE +/- 5135.26, N = 3SE +/- 4280.31, N = 3SE +/- 4382.81, N = 3SE +/- 4507.61, N = 3433091.73424600.07422944.46420324.96418080.47415583.96413354.59405905.78404313.15399110.88394639.23386824.54376241.11371448.211. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F32EPYC 7F52EPYC 7232PEPYC 7302PEPYC 7272EPYC 7542EPYC 7402PEPYC 7282EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 770211002200330044005500SE +/- 1.90, N = 3SE +/- 4.58, N = 3SE +/- 10.38, N = 3SE +/- 5.33, N = 3SE +/- 8.60, N = 3SE +/- 5.09, N = 3SE +/- 4.18, N = 3SE +/- 1.17, N = 3SE +/- 1.62, N = 3SE +/- 3.83, N = 3SE +/- 14.85, N = 3SE +/- 8.65, N = 3SE +/- 4.63, N = 3SE +/- 6.37, N = 32409.032649.353090.583155.853265.933271.263315.633342.133582.563754.854138.694203.814732.735153.99

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.606.055.675.534.704.364.193.512.982.512.381.811.641.28

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F32EPYC 7F52EPYC 7232PEPYC 7302PEPYC 7272EPYC 7402PEPYC 7282EPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 77029001800270036004500SE +/- 19.31, N = 3SE +/- 3.08, N = 3SE +/- 14.48, N = 3SE +/- 1.52, N = 3SE +/- 9.26, N = 3SE +/- 12.54, N = 3SE +/- 7.78, N = 3SE +/- 3.65, N = 3SE +/- 1.04, N = 3SE +/- 1.33, N = 3SE +/- 2.50, N = 3SE +/- 2.44, N = 3SE +/- 0.31, N = 3SE +/- 12.73, N = 31836.511976.702298.632414.742434.172507.582527.862579.792794.252815.803059.053325.993562.634029.98

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 38.977.887.817.206.175.735.684.764.043.313.162.472.161.75

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7F32EPYC 7F52EPYC 7232PEPYC 7272EPYC 7302PEPYC 7282EPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 77029001800270036004500SE +/- 14.55, N = 3SE +/- 1.86, N = 3SE +/- 17.95, N = 3SE +/- 34.12, N = 3SE +/- 2.67, N = 3SE +/- 13.37, N = 3SE +/- 3.50, N = 3SE +/- 2.29, N = 3SE +/- 0.81, N = 3SE +/- 2.24, N = 3SE +/- 1.92, N = 3SE +/- 3.41, N = 3SE +/- 0.45, N = 3SE +/- 8.92, N = 31844.311980.562314.662406.222413.452446.022522.612572.362791.542814.153069.383327.503558.094030.53

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.987.887.797.226.135.725.684.734.023.323.232.472.161.74

Crypto++

Test: Unkeyed Algorithms

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsEPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7532EPYC 7552EPYC 7662EPYC 7642EPYC 7232PEPYC 7272EPYC 728270140210280350SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.93, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.25, N = 3343.61342.93302.93298.73298.71298.49294.44294.27293.88293.81292.60286.19286.18285.251. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

Polyhedron Fortran Benchmarks

Benchmark: rnflow

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowEPYC 770251015202519.48

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P50M100M150M200M250MSE +/- 2628540.04, N = 3SE +/- 1573991.80, N = 3SE +/- 1627088.40, N = 3SE +/- 1503518.94, N = 3SE +/- 979987.31, N = 3SE +/- 298644.62, N = 3SE +/- 577476.24, N = 3SE +/- 701112.41, N = 3SE +/- 33050.19, N = 3SE +/- 731623.27, N = 6SE +/- 860580.20, N = 3SE +/- 532212.35, N = 3SE +/- 173513.15, N = 3SE +/- 468827.18, N = 32184698242147177601857129821850950081474882801393380561330385501143914349388313076972090748165605692896748331735392061561. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7542EPYC 7F32EPYC 7F52EPYC 7282EPYC 7302PEPYC 7502PEPYC 7272EPYC 7402PEPYC 7532EPYC 7232PEPYC 7552EPYC 7642EPYC 7662EPYC 77020.27450.5490.82351.0981.3725SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.780.790.790.840.840.870.880.950.960.991.021.071.22

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7F52EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P6K12K18K24K30KSE +/- 30.27, N = 3SE +/- 48.27, N = 3SE +/- 49.13, N = 3SE +/- 4.60, N = 3SE +/- 75.75, N = 3SE +/- 60.57, N = 3SE +/- 24.60, N = 3SE +/- 157.24, N = 3SE +/- 103.67, N = 4SE +/- 47.83, N = 3SE +/- 6.65, N = 3SE +/- 21.76, N = 3SE +/- 6.26, N = 3SE +/- 46.05, N = 428316.5025012.9823559.1722996.9319958.4118514.6016443.7313220.959884.629866.089314.826803.094984.354115.44

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.020, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 38.8988.8117.5967.5555.9505.4775.4154.4943.4613.1292.9322.2891.8081.456

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.28, N = 6SE +/- 0.26, N = 7SE +/- 0.30, N = 6SE +/- 0.30, N = 6SE +/- 0.41, N = 4SE +/- 0.42, N = 4SE +/- 0.42, N = 4SE +/- 0.47, N = 4SE +/- 0.43, N = 3SE +/- 0.65, N = 4SE +/- 0.75, N = 3SE +/- 0.59, N = 3SE +/- 0.46, N = 3SE +/- 0.42, N = 327.9828.1330.0830.2134.5536.3936.8541.5046.9153.4057.9169.6179.66101.09

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P510152025SE +/- 0.043, N = 3SE +/- 0.063, N = 3SE +/- 0.035, N = 3SE +/- 0.038, N = 3SE +/- 0.008, N = 3SE +/- 0.031, N = 3SE +/- 0.016, N = 3SE +/- 0.014, N = 3SE +/- 0.013, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.010, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 319.09519.06216.23015.98412.73811.85411.5319.6307.6846.5756.2144.8553.8833.117

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.217.046.196.135.034.654.543.833.272.682.531.981.681.38MIN: 7.03 / MAX: 7.62MIN: 6.88 / MAX: 7.39MIN: 6.04 / MAX: 6.75MIN: 5.97 / MAX: 6.57MIN: 4.8 / MAX: 5.35MIN: 4.49 / MAX: 5.07MIN: 4.38 / MAX: 4.8MIN: 3.74 / MAX: 4.01MIN: 3.18 / MAX: 3.41MIN: 2.58 / MAX: 2.77MIN: 2.46 / MAX: 2.62MIN: 1.91 / MAX: 2.03MIN: 1.61 / MAX: 1.72MIN: 1.34 / MAX: 1.42

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.927.826.816.755.545.044.924.173.572.912.742.141.841.50MIN: 7.72 / MAX: 8.01MIN: 7.53 / MAX: 7.98MIN: 6.61 / MAX: 6.89MIN: 6.64 / MAX: 6.79MIN: 5.5 / MAX: 5.57MIN: 4.94 / MAX: 5.12MIN: 4.81 / MAX: 5.05MIN: 4.11 / MAX: 4.26MIN: 3.48 / MAX: 3.63MIN: 2.88 / MAX: 2.96MIN: 2.69 / MAX: 2.78MIN: 2.08 / MAX: 2.17MIN: 1.81 / MAX: 1.92MIN: 1.48 / MAX: 1.54

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7702EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 316.4415.9415.5014.9414.9413.9713.6511.2210.669.158.616.495.734.721. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P50K100K150K200K250KSE +/- 174.48, N = 3SE +/- 39.50, N = 3SE +/- 111.10, N = 3SE +/- 74.34, N = 3SE +/- 77.46, N = 3SE +/- 126.18, N = 3SE +/- 39.58, N = 3SE +/- 6.99, N = 3SE +/- 132.22, N = 3SE +/- 25.85, N = 3SE +/- 38.26, N = 3SE +/- 82.39, N = 3SE +/- 44.74, N = 3SE +/- 202.36, N = 356195.561679.665104.468430.470622.975080.077264.793404.1107391.0123947.0129293.0173807.0201258.0242480.0

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7662EPYC 7702EPYC 7542EPYC 7642EPYC 7502PEPYC 7532EPYC 7552EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P30K60K90K120K150KSE +/- 187.50, N = 3SE +/- 280.28, N = 3SE +/- 86.41, N = 3SE +/- 322.42, N = 3SE +/- 76.82, N = 3SE +/- 28.71, N = 3SE +/- 194.69, N = 3SE +/- 193.63, N = 3SE +/- 13.80, N = 3SE +/- 21.22, N = 3SE +/- 63.38, N = 3SE +/- 107.22, N = 3SE +/- 599.00, N = 3SE +/- 22.85, N = 332085.535037.443977.945436.647083.448084.748507.461419.968637.680320.584723.5117060.0133236.0160713.0

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7662EPYC 7702EPYC 7542EPYC 7642EPYC 7502PEPYC 7532EPYC 7552EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P40K80K120K160K200KSE +/- 61.64, N = 3SE +/- 118.11, N = 3SE +/- 72.07, N = 3SE +/- 392.20, N = 3SE +/- 44.27, N = 3SE +/- 69.37, N = 3SE +/- 518.49, N = 3SE +/- 40.77, N = 3SE +/- 61.58, N = 3SE +/- 15.21, N = 3SE +/- 47.75, N = 3SE +/- 28.48, N = 3SE +/- 13.05, N = 3SE +/- 20.79, N = 333024.036468.845118.145818.847911.749078.550401.862904.170154.582490.486277.6120119.0136023.0165426.0

Facebook RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7662EPYC 7642EPYC 7552EPYC 7702EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P70K140K210K280K350KSE +/- 735.95, N = 3SE +/- 768.33, N = 3SE +/- 749.32, N = 3SE +/- 166.32, N = 3SE +/- 219.22, N = 3SE +/- 344.84, N = 3SE +/- 622.13, N = 3SE +/- 607.97, N = 3SE +/- 436.15, N = 3SE +/- 203.74, N = 3SE +/- 223.01, N = 3SE +/- 175.05, N = 3SE +/- 204.78, N = 3333412331791331300287115259353258759253689216427172585163535163248131583100843943711. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

John The Ripper

Test: MD5

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P900K1800K2700K3600K4500KSE +/- 3282.95, N = 3SE +/- 881.92, N = 3SE +/- 881.92, N = 3SE +/- 2905.93, N = 3SE +/- 2185.81, N = 3SE +/- 1527.53, N = 3SE +/- 1452.97, N = 3SE +/- 1763.83, N = 3SE +/- 2603.42, N = 3SE +/- 2000.00, N = 3SE +/- 881.92, N = 3SE +/- 525.27, N = 3SE +/- 798.79, N = 34195333418300035576673528667279866725963332534000212733317316671460333135400010723338747007171751. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomEPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7702EPYC 7642EPYC 7532EPYC 7282EPYC 7662EPYC 7272EPYC 7552EPYC 7232P0.08550.1710.25650.3420.4275SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.380.380.330.330.330.330.330.320.320.320.320.320.320.311. (CXX) g++ options: -O3 -pthread

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5EPYC 7F32EPYC 7F52EPYC 7542EPYC 7402PEPYC 7502PEPYC 7702EPYC 7532EPYC 7302PEPYC 7662EPYC 7552EPYC 7642EPYC 7272EPYC 7282EPYC 7232P0.26190.52380.78571.04761.3095SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 31.1641.1561.0241.0091.0061.0050.9990.9970.9930.9920.9890.9720.9690.965

FinanceBench

Benchmark: Repo OpenMP

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPEPYC 7F52EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7702EPYC 7532EPYC 7662EPYC 7302PEPYC 7552EPYC 7272EPYC 7282EPYC 7232P11K22K33K44K55KSE +/- 174.69, N = 3SE +/- 107.65, N = 3SE +/- 84.26, N = 3SE +/- 17.38, N = 3SE +/- 71.59, N = 3SE +/- 45.54, N = 3SE +/- 133.22, N = 3SE +/- 71.36, N = 3SE +/- 383.79, N = 3SE +/- 241.95, N = 3SE +/- 108.67, N = 3SE +/- 109.50, N = 3SE +/- 275.73, N = 343527.2843548.6350076.2750474.7050609.0451015.8751428.8951437.7951629.1051630.5052936.9852977.6053237.681. (CXX) g++ options: -O3 -march=native -fopenmp

RawTherapee

Total Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC 7542EPYC 7502PEPYC 7F52EPYC 7402PEPYC 7552EPYC 7532EPYC 7662EPYC 7702EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P1632486480SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.59, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 352.1352.7453.1553.9354.4954.7755.0456.0358.5161.5462.2462.7672.471. RawTherapee, version 5.8, command line.

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.61321.22641.83962.45283.066SE +/- 0.00014, N = 3SE +/- 0.00053, N = 3SE +/- 0.00034, N = 3SE +/- 0.00037, N = 3SE +/- 0.00071, N = 3SE +/- 0.00041, N = 3SE +/- 0.00074, N = 3SE +/- 0.00125, N = 3SE +/- 0.00173, N = 3SE +/- 0.00048, N = 3SE +/- 0.00125, N = 3SE +/- 0.00045, N = 3SE +/- 0.00063, N = 3SE +/- 0.00080, N = 30.489080.492640.570480.574840.715490.774390.790790.937051.143751.350581.451451.838952.229492.72553

DeepSpeech

Acceleration: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUEPYC 7F32EPYC 7702EPYC 7642EPYC 7662EPYC 7552EPYC 7532EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7232PEPYC 7302PEPYC 7272EPYC 728220406080100SE +/- 0.14, N = 3SE +/- 0.28, N = 3SE +/- 0.58, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.45, N = 3SE +/- 0.14, N = 3SE +/- 0.52, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 369.5170.1170.1770.6770.7271.5671.6772.1372.2172.6872.9973.1773.7974.99

MBW

Test: Memory Copy - Array Size: 8192 MiB

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 8192 MiBEPYC 7F32EPYC 7542EPYC 7502PEPYC 7662EPYC 7702EPYC 7232PEPYC 7402PEPYC 7532EPYC 7282EPYC 7272EPYC 7302PEPYC 7552EPYC 7F523K6K9K12K15KSE +/- 4.94, N = 3SE +/- 24.53, N = 3SE +/- 83.23, N = 3SE +/- 2.47, N = 3SE +/- 67.71, N = 3SE +/- 33.58, N = 3SE +/- 93.82, N = 3SE +/- 36.28, N = 3SE +/- 87.56, N = 3SE +/- 85.10, N = 3SE +/- 60.36, N = 3SE +/- 23.45, N = 3SE +/- 1.29, N = 315666.7015641.0915621.6415616.9015599.9015523.1415510.9215503.0515482.7415482.7115480.2915459.1614958.191. (CC) gcc options: -O3 -march=native

Basis Universal

Settings: ETC1S

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SEPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7502PEPYC 7662EPYC 7552EPYC 7402PEPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P1428425670SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 349.3453.6553.9354.1054.5754.8254.9855.1455.5957.1858.6460.1064.831. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsEPYC 7F32EPYC 7F52EPYC 7542EPYC 7402PEPYC 7642EPYC 7502PEPYC 7662EPYC 7552EPYC 7302PEPYC 7702EPYC 7532EPYC 7282EPYC 7272EPYC 7232P0.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.620.610.530.530.520.520.520.520.520.520.510.500.500.501. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDEPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7502PEPYC 7662EPYC 7302PEPYC 7402PEPYC 7642EPYC 7532EPYC 7552EPYC 7232PEPYC 7282EPYC 72720.14180.28360.42540.56720.709SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.630.620.540.540.530.530.530.530.520.520.520.520.510.511. (CXX) g++ options: -O3 -pthread

Hugin

Panorama Photo Assistant + Stitching Time

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7F52EPYC 7542EPYC 7F32EPYC 7402PEPYC 7502PEPYC 7552EPYC 7532EPYC 7702EPYC 7302PEPYC 7662EPYC 7282EPYC 7272EPYC 7232P1326395265SE +/- 0.24, N = 3SE +/- 0.30, N = 3SE +/- 0.33, N = 3SE +/- 0.41, N = 3SE +/- 0.42, N = 3SE +/- 0.28, N = 3SE +/- 0.36, N = 3SE +/- 0.32, N = 3SE +/- 0.45, N = 3SE +/- 0.23, N = 3SE +/- 0.50, N = 3SE +/- 0.07, N = 3SE +/- 0.80, N = 350.5952.9952.9953.3653.7255.4255.5755.6855.7755.9556.1057.2459.31

Polyhedron Fortran Benchmarks

Benchmark: protein

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinEPYC 77024812162015.95

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDEPYC 7F52EPYC 7F32EPYC 7402PEPYC 7542EPYC 7502PEPYC 7642EPYC 7552EPYC 7702EPYC 7302PEPYC 7662EPYC 7282EPYC 7532EPYC 7232PEPYC 7272300K600K900K1200K1500KSE +/- 8827.27, N = 3SE +/- 11422.05, N = 10SE +/- 20897.40, N = 15SE +/- 17960.88, N = 3SE +/- 16125.60, N = 15SE +/- 16607.14, N = 15SE +/- 17355.22, N = 15SE +/- 13671.93, N = 15SE +/- 8695.76, N = 3SE +/- 12423.96, N = 3SE +/- 16958.48, N = 15SE +/- 3475.48, N = 3SE +/- 8933.33, N = 3SE +/- 13873.03, N = 31514902.301510395.931393300.081388206.161387616.131360852.661349388.241347163.141345235.041328786.501325778.661319402.581302498.711285763.371. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenFOAM

Input: Motorbike 30M

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P306090120150SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.30, N = 322.8323.3523.4325.1726.5329.6230.6233.8139.8940.8756.5760.5067.23113.161. (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

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaEPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7642EPYC 7532EPYC 7662EPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P0.11930.23860.35790.47720.5965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.530.530.460.460.460.460.450.450.450.450.450.440.440.441. (CXX) g++ options: -O3 -pthread

Minion

Benchmark: Graceful

OpenBenchmarking.orgSeconds, Fewer Is BetterMinion 1.8Benchmark: GracefulEPYC 7F52EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7702EPYC 7302PEPYC 7662EPYC 7532EPYC 7642EPYC 7552EPYC 7272EPYC 7282EPYC 7232P1224364860SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 344.8444.9251.6252.3052.3452.3552.9353.0753.1853.2053.2954.6354.7655.081. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic

Perl Benchmarks

Test: Interpreter

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterEPYC 7F52EPYC 7F32EPYC 7302PEPYC 7542EPYC 7402PEPYC 7502PEPYC 7552EPYC 7642EPYC 7532EPYC 7702EPYC 7662EPYC 7272EPYC 7282EPYC 7232P0.00020.00040.00060.00080.001SE +/- 0.00000483, N = 3SE +/- 0.00001015, N = 3SE +/- 0.00000413, N = 3SE +/- 0.00000879, N = 3SE +/- 0.00000962, N = 3SE +/- 0.00000724, N = 3SE +/- 0.00000921, N = 3SE +/- 0.00000264, N = 3SE +/- 0.00000252, N = 3SE +/- 0.00000621, N = 3SE +/- 0.00000365, N = 3SE +/- 0.00001257, N = 3SE +/- 0.00000497, N = 3SE +/- 0.00000737, N = 30.000825700.000835630.000954780.000954850.000955860.000960820.000961530.000965790.000967530.000970840.000974550.000980740.000992100.00100608

Timed PHP Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P20406080100SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 342.5643.0643.8243.8444.5545.4446.1046.5447.4152.7555.2259.5660.2075.33

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 311.2411.079.589.527.587.016.905.764.454.023.722.932.391.89MIN: 10.99 / MAX: 11.36MIN: 10.75 / MAX: 11.24MIN: 9.17 / MAX: 9.71MIN: 9.35 / MAX: 9.62MIN: 7.46 / MAX: 7.63MIN: 6.94 / MAX: 7.09MIN: 6.8 / MAX: 6.99MIN: 5.68 / MAX: 5.81MIN: 4.31 / MAX: 4.52MIN: 3.98 / MAX: 4.05MIN: 3.69 / MAX: 3.76MIN: 2.9 / MAX: 2.97MIN: 2.37 / MAX: 2.42MIN: 1.84 / MAX: 1.91

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.063, N = 3SE +/- 0.034, N = 3SE +/- 0.069, N = 3SE +/- 0.031, N = 3SE +/- 0.034, N = 13SE +/- 0.056, N = 3SE +/- 0.063, N = 5SE +/- 0.075, N = 4SE +/- 0.011, N = 3SE +/- 0.082, N = 6SE +/- 0.029, N = 3SE +/- 0.040, N = 3SE +/- 0.020, N = 3SE +/- 0.004, N = 34.6174.8044.8724.9725.3695.4815.6486.0677.7918.2588.8769.93912.17614.1231. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P12K24K36K48K60KSE +/- 734.82, N = 3SE +/- 365.68, N = 3SE +/- 725.42, N = 3SE +/- 308.59, N = 3SE +/- 320.52, N = 13SE +/- 468.05, N = 3SE +/- 489.37, N = 5SE +/- 510.25, N = 4SE +/- 44.96, N = 3SE +/- 306.40, N = 6SE +/- 92.29, N = 3SE +/- 98.97, N = 3SE +/- 32.87, N = 3SE +/- 5.29, N = 354318521815144450381466554567144343412733211530313281932517020541177091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7F52EPYC 7F32EPYC 7702EPYC 7662EPYC 7542EPYC 7532EPYC 7642EPYC 7502PEPYC 7302PEPYC 7552EPYC 7272EPYC 7402PEPYC 7282EPYC 7232P300K600K900K1200K1500KSE +/- 8091.69, N = 3SE +/- 13442.74, N = 3SE +/- 22602.36, N = 12SE +/- 18435.82, N = 15SE +/- 15275.38, N = 3SE +/- 15826.22, N = 15SE +/- 16083.41, N = 14SE +/- 14615.10, N = 4SE +/- 12613.83, N = 5SE +/- 14106.76, N = 3SE +/- 17229.52, N = 15SE +/- 4313.29, N = 3SE +/- 15930.17, N = 3SE +/- 11537.36, N = 41336546.211315900.461228831.791200527.311189270.871186674.321183717.451180459.911173570.001170719.461156241.741147451.381143594.631126925.501. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7F52EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7702EPYC 7662EPYC 7532EPYC 7642EPYC 7302PEPYC 7552EPYC 7232PEPYC 7272EPYC 7282918273645SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.07, N = 4SE +/- 0.08, N = 4SE +/- 0.12, N = 4SE +/- 0.09, N = 4SE +/- 0.07, N = 4SE +/- 0.06, N = 4SE +/- 0.12, N = 4SE +/- 0.11, N = 4SE +/- 0.11, N = 4SE +/- 0.08, N = 4SE +/- 0.10, N = 430.7530.8435.2735.6935.7335.9336.2036.2436.2836.3636.4037.4037.4037.551. (CC) gcc options: -O2 -std=c99

JPEG XL Decoding

CPU Threads: All

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: AllEPYC 7F52EPYC 7282EPYC 7542EPYC 7F32EPYC 753250100150200250SE +/- 0.29, N = 3SE +/- 0.06, N = 3SE +/- 0.90, N = 3SE +/- 0.06, N = 3SE +/- 0.41, N = 3207.63197.76188.06183.95171.73

Tachyon

Total Time

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.26, N = 319.0819.1222.5622.8128.5930.9031.5737.7346.5954.8458.4775.0492.16112.391. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7532EPYC 7402PEPYC 7552EPYC 7302PEPYC 7642EPYC 7232PEPYC 7502PEPYC 7662EPYC 7282EPYC 7272400K800K1200K1600K2000KSE +/- 17849.12, N = 5SE +/- 19118.80, N = 4SE +/- 13573.21, N = 15SE +/- 18256.32, N = 3SE +/- 21214.43, N = 3SE +/- 13170.58, N = 15SE +/- 8071.25, N = 3SE +/- 13583.32, N = 6SE +/- 11135.64, N = 15SE +/- 18495.33, N = 15SE +/- 18437.40, N = 3SE +/- 13883.40, N = 3SE +/- 14367.89, N = 15SE +/- 12289.67, N = 31635794.571601070.501508082.411482738.921481804.001466557.031450496.711438157.731437534.231421564.351419600.131417246.671414840.411372468.881. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P60K120K180K240K300KSE +/- 419.38, N = 3SE +/- 226.28, N = 3SE +/- 453.51, N = 3SE +/- 190.42, N = 3SE +/- 249.88, N = 3SE +/- 894.75, N = 3SE +/- 315.33, N = 3SE +/- 558.99, N = 3SE +/- 192.03, N = 3SE +/- 313.91, N = 3SE +/- 108.98, N = 3SE +/- 288.04, N = 3SE +/- 84.48, N = 327014026490822974717614817136217124213857510906995137905886965556955459411. (CXX) g++ options: -pipe -lpthread

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7F32EPYC 7F52EPYC 7542EPYC 7532EPYC 7402PEPYC 7502PEPYC 7662EPYC 7272EPYC 7702EPYC 7302PEPYC 7642EPYC 7552EPYC 7282EPYC 7232P300K600K900K1200K1500KSE +/- 6374.74, N = 3SE +/- 8000.25, N = 3SE +/- 11205.82, N = 5SE +/- 10288.34, N = 15SE +/- 11072.90, N = 15SE +/- 9569.43, N = 3SE +/- 5890.12, N = 3SE +/- 15424.51, N = 15SE +/- 7054.62, N = 13SE +/- 8436.86, N = 3SE +/- 4227.00, N = 3SE +/- 7701.66, N = 3SE +/- 3774.33, N = 3SE +/- 6585.32, N = 31174520.461174427.001067438.771059976.321045821.591045486.811039389.171037523.561031876.331030785.791018402.691013049.13997652.46991962.081. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6EPYC 7F32EPYC 7F52EPYC 7542EPYC 7402PEPYC 7702EPYC 7502PEPYC 7532EPYC 7662EPYC 7552EPYC 7302PEPYC 7642EPYC 7272EPYC 7282EPYC 7232P0.34990.69981.04971.39961.7495SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 31.5551.5421.3681.3511.3421.3381.3361.3331.3311.3291.3201.2961.2931.289

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7502PEPYC 7542EPYC 7402PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.099835, N = 4SE +/- 0.163720, N = 4SE +/- 0.030087, N = 3SE +/- 0.083534, N = 3SE +/- 0.072162, N = 3SE +/- 0.066319, N = 3SE +/- 0.091101, N = 3SE +/- 0.025438, N = 3SE +/- 0.017716, N = 3SE +/- 0.028662, N = 3SE +/- 0.037637, N = 3SE +/- 0.008716, N = 3SE +/- 0.039059, N = 3SE +/- 0.010754, N = 316.88116815.61481213.94246512.7350319.8288719.3269098.8633367.2082354.9637154.8976534.4524193.4640033.0115951.5837041. (CC) gcc options: -O3 -march=native -fopenmp

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P306090120150SE +/- 0.55, N = 3SE +/- 1.22, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.79, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3149.6147.5130.1125.7122.7114.4114.396.976.173.866.455.247.037.31. (CC) gcc options: -O3 -pthread -lz -llzma

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7402PEPYC 7502PEPYC 7552EPYC 7302PEPYC 7532EPYC 7642EPYC 7662EPYC 7272EPYC 7282EPYC 7232P1020304050SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 336.4436.4941.6642.2942.3042.3142.8642.8842.9042.9643.1444.2744.3746.301. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7662EPYC 7702EPYC 7302PEPYC 7F52EPYC 728230K60K90K120K150KSE +/- 193.68, N = 3SE +/- 254.66, N = 3SE +/- 63.83, N = 3SE +/- 134.14, N = 3SE +/- 1.88, N = 3125512.61123271.0065066.6053090.1048665.961. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

AOBench

Size: 2048 x 2048 - Total Time

OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7702EPYC 7552EPYC 7642EPYC 7532EPYC 7662EPYC 7282EPYC 7232PEPYC 72721020304050SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.18, N = 3SE +/- 0.51, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 334.8134.8439.9240.5340.5940.9841.1541.1741.1741.1941.2642.4442.4442.481. (CC) gcc options: -lm -O3

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 7F32EPYC 7F52EPYC 7502PEPYC 7702EPYC 7542EPYC 7402PEPYC 7302PEPYC 7552EPYC 7662EPYC 7532EPYC 7642EPYC 7232PEPYC 7272EPYC 728250100150200250SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3171174197198198200202202202202203208208208

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1326395265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 358.8255.5650.0050.0040.0037.0435.7130.3022.5620.8319.6115.6312.5010.31MIN: 52.63 / MAX: 62.5MIN: 50 / MAX: 62.5MIN: 47.62 / MAX: 52.63MIN: 47.62 / MAX: 52.63MIN: 37.04 / MAX: 41.67MIN: 34.48 / MAX: 40MIN: 33.33 / MAX: 38.46MIN: 29.41 / MAX: 32.26MIN: 21.28 / MAX: 24.39MIN: 20.41 / MAX: 22.73MIN: 19.23 / MAX: 21.28MIN: 15.15 / MAX: 16.67MIN: 12.2 / MAX: 13.33MIN: 10.1 / MAX: 10.99

QuantLib

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21EPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7662EPYC 7302PEPYC 7552EPYC 7532EPYC 7272EPYC 7232PEPYC 72825001000150020002500SE +/- 10.66, N = 3SE +/- 13.33, N = 3SE +/- 11.83, N = 3SE +/- 9.97, N = 3SE +/- 12.22, N = 3SE +/- 11.47, N = 3SE +/- 10.12, N = 3SE +/- 10.13, N = 3SE +/- 13.45, N = 3SE +/- 10.26, N = 3SE +/- 12.91, N = 3SE +/- 10.95, N = 3SE +/- 8.78, N = 32300.72285.22016.41984.51977.31970.11955.31952.51945.31922.31893.21892.01887.01. (CXX) g++ options: -O3 -march=native -rdynamic

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7642EPYC 7662EPYC 7532EPYC 7702EPYC 7552EPYC 7F52EPYC 7402PEPYC 7542EPYC 7502PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5K10K15K20K25KSE +/- 111.87, N = 3SE +/- 233.09, N = 3SE +/- 197.85, N = 2SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 82.20, N = 3SE +/- 136.29, N = 3SE +/- 101.60, N = 3SE +/- 0.00, N = 3SE +/- 66.13, N = 4SE +/- 69.42, N = 3SE +/- 54.85, N = 9SE +/- 50.92, N = 323040.7020991.7020585.3020382.2017300.8016399.7013892.5012699.5012698.2012204.408265.997358.197130.893879.101. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

ASKAP

Test: tConvolve MPI - Degridding

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 7642EPYC 7662EPYC 7702EPYC 7532EPYC 7552EPYC 7F52EPYC 7402PEPYC 7502PEPYC 7542EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P5K10K15K20K25KSE +/- 197.00, N = 3SE +/- 121.22, N = 3SE +/- 112.07, N = 3SE +/- 215.40, N = 3SE +/- 61.33, N = 3SE +/- 118.03, N = 3SE +/- 63.07, N = 3SE +/- 137.10, N = 3SE +/- 162.55, N = 3SE +/- 68.60, N = 3SE +/- 74.25, N = 4SE +/- 27.68, N = 3SE +/- 48.79, N = 9SE +/- 28.76, N = 321472.3020993.1020185.5018311.7016990.1013692.3012173.7012067.3011976.9010427.206907.546587.576100.183350.221. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

m-queens

Time To Solve

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 4SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.7513.8416.6121.3722.6323.0528.1935.9242.3843.7458.2271.5887.191. (CXX) g++ options: -fopenmp -O2 -march=native

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7F32EPYC 7F52EPYC 7402PEPYC 7542EPYC 7532EPYC 7502PEPYC 7702EPYC 7662EPYC 7302PEPYC 7552EPYC 7642EPYC 7272EPYC 7232PEPYC 7282130K260K390K520K650KSE +/- 7086.33, N = 3SE +/- 1476.72, N = 3SE +/- 4035.67, N = 3SE +/- 741.11, N = 3SE +/- 4131.15, N = 3SE +/- 948.15, N = 3SE +/- 1921.47, N = 3SE +/- 1174.39, N = 3SE +/- 957.34, N = 3SE +/- 142.64, N = 3SE +/- 215.70, N = 3SE +/- 2157.92, N = 3SE +/- 569.07, N = 3SE +/- 973.54, N = 3621672614039542521539060532957531740529609524751524189523575521572513356511906511228

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1530456075SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 323.9824.0325.2125.5027.8629.1229.2332.0733.9839.7442.8649.9254.1568.50

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7F32EPYC 7F52EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7662EPYC 7302PEPYC 7552EPYC 7272EPYC 7282EPYC 7532EPYC 7232P918273645SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 338.5938.0134.5034.3834.1134.0334.0133.7133.6433.1233.0833.0632.481. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Polyhedron Fortran Benchmarks

Benchmark: aermod

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: aermodEPYC 77022468107.22

Basis Universal

Settings: UASTC Level 3

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1632486480SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 318.6618.8720.8023.9725.2825.8829.1633.8039.7541.2451.7760.4073.431. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Etcpak

Configuration: ETC2

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC2EPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7662EPYC 7302PEPYC 7552EPYC 7532EPYC 7232PEPYC 7272EPYC 72824080120160200SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3159.79159.60139.25137.34137.28137.09135.24135.18135.14135.01131.18131.15130.881. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.33140.66280.99421.32561.657SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.005, N = 30.2670.2790.3160.3230.3820.4070.4260.4800.6300.6790.7290.9081.1731.4731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 250 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P200K400K600K800K1000KSE +/- 6923.68, N = 3SE +/- 5067.03, N = 3SE +/- 3710.21, N = 3SE +/- 1360.28, N = 3SE +/- 1178.79, N = 3SE +/- 1108.32, N = 3SE +/- 853.89, N = 3SE +/- 1318.12, N = 3SE +/- 248.26, N = 3SE +/- 891.46, N = 3SE +/- 804.68, N = 3SE +/- 696.35, N = 3SE +/- 681.51, N = 3SE +/- 518.37, N = 39397508999927914567756876557746141835875485216533970383684493432292756772133451698321. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.12220.24440.36660.48880.611SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1090.1120.1200.1200.1530.1640.1730.2010.2630.2800.2900.3590.4640.5431. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 100 - Clients: 100 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P200K400K600K800K1000KSE +/- 2726.39, N = 3SE +/- 3714.01, N = 3SE +/- 492.11, N = 3SE +/- 2696.01, N = 3SE +/- 684.57, N = 3SE +/- 1605.99, N = 3SE +/- 1146.88, N = 3SE +/- 1145.86, N = 3SE +/- 501.41, N = 3SE +/- 406.00, N = 3SE +/- 721.66, N = 3SE +/- 527.65, N = 3SE +/- 196.73, N = 3SE +/- 258.28, N = 39155238974538354578325096549146106675783404991383811843577813445982785102156171842511. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointEPYC 7F52EPYC 7502PEPYC 7542EPYC 7702EPYC 7662EPYC 7532EPYC 7642EPYC 7552EPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P1020304050SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.20, N = 3SE +/- 0.26, N = 3SE +/- 0.35, N = 3SE +/- 0.11, N = 3SE +/- 0.24, N = 3SE +/- 0.14, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 3SE +/- 0.48, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 329.4532.6532.8733.2733.4133.4333.6033.9634.3134.8435.6736.3538.0745.21

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7532EPYC 7642EPYC 7662EPYC 7702EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7232PEPYC 7272EPYC 7282EPYC 7F524K8K12K16K20KSE +/- 8.80, N = 3SE +/- 29.81, N = 3SE +/- 5.01, N = 3SE +/- 34.52, N = 3SE +/- 68.31, N = 3SE +/- 8.04, N = 3SE +/- 24.99, N = 3SE +/- 5.98, N = 3SE +/- 5.12, N = 3SE +/- 22.39, N = 3SE +/- 10.40, N = 3SE +/- 16.20, N = 3SE +/- 1.40, N = 3SE +/- 66.01, N = 1419645.4019436.3019256.7019155.4018424.1017351.2017082.4016743.6016649.7016649.5010156.6010066.6010003.606787.061. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P4K8K12K16K20KSE +/- 64.33, N = 3SE +/- 57.10, N = 3SE +/- 24.65, N = 3SE +/- 32.93, N = 3SE +/- 30.09, N = 3SE +/- 125.44, N = 9SE +/- 16.45, N = 3SE +/- 6.53, N = 3SE +/- 16.90, N = 3SE +/- 17.97, N = 3SE +/- 8.24, N = 3SE +/- 13.57, N = 3SE +/- 24.34, N = 319990.7519577.0318192.3217266.2116396.5715568.2413570.839499.339134.728415.197332.825638.534965.961. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Parboil

Test: OpenMP LBM

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP LBMEPYC 7642EPYC 7532EPYC 7702EPYC 7662EPYC 7302PEPYC 7552EPYC 7F32EPYC 7502PEPYC 7542EPYC 7402PEPYC 7F52EPYC 7272EPYC 7232PEPYC 72821020304050SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.26, N = 5SE +/- 0.08, N = 3SE +/- 0.26, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 321.9422.9423.3223.8224.9226.4727.2527.6027.6429.0235.4242.9545.7646.071. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibEPYC 7F32EPYC 7F52EPYC 7502PEPYC 7542EPYC 7702EPYC 7402PEPYC 7302PEPYC 7532EPYC 7552EPYC 7662EPYC 7642EPYC 7272EPYC 7232PEPYC 7282510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 317.217.519.919.920.220.220.420.420.520.520.521.021.121.3

C-Ray

Total Time - 4K, 16 Rays Per Pixel

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.02, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 312.8212.8515.0415.2119.5520.9121.4325.6832.5838.4939.6652.8164.9779.171. (CC) gcc options: -lm -lpthread -O3

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 316.9516.6714.4914.2911.3610.6010.428.776.836.075.654.393.652.82MIN: 16.39 / MAX: 17.24MIN: 16.39 / MAX: 16.95MIN: 14.08 / MAX: 14.71MIN: 13.89 / MAX: 14.49MIN: 11.11 / MAX: 11.49MIN: 10.42 / MAX: 10.75MIN: 10.2 / MAX: 10.53MIN: 8.62 / MAX: 8.85MIN: 6.67 / MAX: 6.94MIN: 5.99 / MAX: 6.13MIN: 5.59 / MAX: 5.75MIN: 4.33 / MAX: 4.44MIN: 3.58 / MAX: 3.69MIN: 2.79 / MAX: 2.86

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P20K40K60K80K100KSE +/- 298.03, N = 3SE +/- 34.41, N = 3SE +/- 281.17, N = 3SE +/- 82.31, N = 3SE +/- 26.26, N = 3SE +/- 207.08, N = 3SE +/- 106.91, N = 3SE +/- 81.46, N = 3SE +/- 3.68, N = 3SE +/- 22.56, N = 3SE +/- 82.34, N = 3SE +/- 24.66, N = 3SE +/- 31.62, N = 3SE +/- 12.95, N = 3103985.91102548.9599557.2395079.4186547.2879644.8878846.9674421.6161041.2749617.9244891.6943321.3843172.5133816.481. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7662EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.02012, N = 3SE +/- 0.01627, N = 15SE +/- 0.00152, N = 3SE +/- 0.01668, N = 15SE +/- 0.01343, N = 3SE +/- 0.01295, N = 3SE +/- 0.00813, N = 3SE +/- 0.00832, N = 3SE +/- 0.00961, N = 3SE +/- 0.01740, N = 3SE +/- 0.01071, N = 3SE +/- 0.00923, N = 3SE +/- 0.06606, N = 3SE +/- 0.02020, N = 31.987262.022312.048662.157942.197272.222422.335192.489772.757433.283773.501754.440775.032366.12261MIN: 1.87MIN: 1.84MIN: 1.99MIN: 1.99MIN: 2.12MIN: 2.06MIN: 2.08MIN: 2.4MIN: 2.63MIN: 3.08MIN: 3.1MIN: 4.2MIN: 4.86MIN: 5.931. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7662EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7532EPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P612182430SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 4SE +/- 0.09, N = 325.6525.3625.2325.2125.1325.0423.8423.7120.4420.0320.0017.0910.209.201. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

AOM AV1

Encoder Mode: Speed 6 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7532EPYC 7552EPYC 7662EPYC 7302PEPYC 7642EPYC 7282EPYC 7272EPYC 7232P0.87751.7552.63253.514.3875SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.903.733.483.423.423.383.373.373.363.363.333.233.193.081. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Pennant

Test: sedovbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 7662EPYC 7702EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1530456075SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 311.8011.9415.3518.0622.2323.0325.8825.8934.0341.6949.1152.7966.421. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

ebizzy

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P600K1200K1800K2400K3000KSE +/- 34594.95, N = 12SE +/- 37169.94, N = 3SE +/- 25794.01, N = 15SE +/- 24033.50, N = 3SE +/- 8453.72, N = 3SE +/- 15669.57, N = 3SE +/- 10663.27, N = 3SE +/- 15686.47, N = 3SE +/- 7117.75, N = 3SE +/- 8057.83, N = 3SE +/- 8956.45, N = 3SE +/- 906.56, N = 3SE +/- 6904.71, N = 7SE +/- 4933.88, N = 3276264727193882701767245651121368501977325194783617218541475280120846610219908839657768806232721. (CC) gcc options: -pthread -lpthread -O3 -march=native

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedEPYC 7F32EPYC 7302PEPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7232PEPYC 7532EPYC 7272EPYC 7662EPYC 7552EPYC 7282EPYC 7F522K4K6K8K10KSE +/- 42.46, N = 3SE +/- 18.80, N = 3SE +/- 36.93, N = 3SE +/- 47.44, N = 3SE +/- 5.92, N = 3SE +/- 43.01, N = 3SE +/- 37.22, N = 3SE +/- 41.47, N = 3SE +/- 27.35, N = 3SE +/- 27.42, N = 3SE +/- 23.29, N = 3SE +/- 7.93, N = 3SE +/- 24.26, N = 311210.011006.610996.110993.210968.610951.010936.610931.610929.910926.310920.510898.310701.31. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedEPYC 7F32EPYC 7702EPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7532EPYC 7302PEPYC 7232PEPYC 7662EPYC 7552EPYC 7272EPYC 72822K4K6K8K10KSE +/- 52.96, N = 3SE +/- 50.78, N = 3SE +/- 57.96, N = 3SE +/- 14.87, N = 3SE +/- 5.54, N = 3SE +/- 19.46, N = 3SE +/- 55.86, N = 3SE +/- 29.02, N = 3SE +/- 52.82, N = 3SE +/- 19.08, N = 3SE +/- 18.08, N = 3SE +/- 18.11, N = 3SE +/- 8.54, N = 39802.819496.009472.869468.599464.009461.099434.319428.779421.699376.869369.359365.449360.351. (CC) gcc options: -O3

TTSIOD 3D Renderer

Phong Rendering With Soft-Shadow Mapping

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingEPYC 7552EPYC 7642EPYC 7662EPYC 7542EPYC 7502PEPYC 7532EPYC 7702EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P2004006008001000SE +/- 6.72, N = 12SE +/- 12.71, N = 3SE +/- 3.57, N = 3SE +/- 1.67, N = 3SE +/- 2.79, N = 3SE +/- 3.72, N = 3SE +/- 4.91, N = 3SE +/- 2.84, N = 3SE +/- 0.21, N = 3SE +/- 1.34, N = 3SE +/- 1.71, N = 3SE +/- 0.85, N = 3SE +/- 0.88, N = 3SE +/- 0.73, N = 3933.04889.39873.42858.47857.99849.27792.50721.30589.10563.20551.97457.13359.54327.451. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7552EPYC 7662EPYC 7532EPYC 7642EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 321.7620.2220.1919.9719.8819.8419.6319.5919.5119.4819.1118.9217.8317.301. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7662EPYC 7532EPYC 7702EPYC 7542EPYC 7502PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7232PEPYC 7F52400800120016002000SE +/- 11.89, N = 3SE +/- 1.95, N = 3SE +/- 4.04, N = 3SE +/- 5.74, N = 3SE +/- 3.36, N = 3SE +/- 2.26, N = 3SE +/- 1.26, N = 3SE +/- 5.70, N = 3SE +/- 2.89, N = 3SE +/- 9.24, N = 32006.811992.761971.501885.981884.311647.781422.071277.151083.36934.001. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10EPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7402PEPYC 7532EPYC 7502PEPYC 7552EPYC 7662EPYC 7302PEPYC 7642EPYC 7272EPYC 7282EPYC 7232P0.7671.5342.3013.0683.835SE +/- 0.010, N = 3SE +/- 0.017, N = 3SE +/- 0.009, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.009, N = 3SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 33.4093.3653.0042.9702.9672.9372.9292.9292.9262.9262.8942.8612.8382.822

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7642EPYC 7532EPYC 7662EPYC 7702EPYC 7552EPYC 7402PEPYC 7502PEPYC 7F52EPYC 7542EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P2K4K6K8K10KSE +/- 34.97, N = 3SE +/- 14.29, N = 3SE +/- 8.45, N = 3SE +/- 33.88, N = 3SE +/- 25.58, N = 3SE +/- 21.24, N = 3SE +/- 18.74, N = 3SE +/- 20.53, N = 3SE +/- 4.93, N = 3SE +/- 34.67, N = 3SE +/- 3.19, N = 3SE +/- 4.75, N = 3SE +/- 6.17, N = 3SE +/- 5.69, N = 38499.28476.38287.78248.38172.08033.07903.67899.77885.07699.46706.26573.96498.45123.21. (CC) gcc options: -O3 -pthread -lz -llzma

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P4K8K12K16K20KSE +/- 45.79, N = 3SE +/- 24.42, N = 3SE +/- 23.53, N = 3SE +/- 39.53, N = 3SE +/- 8.85, N = 3SE +/- 14.79, N = 3SE +/- 3.25, N = 3SE +/- 1.01, N = 3SE +/- 1.11, N = 3SE +/- 4.51, N = 3SE +/- 5.85, N = 3SE +/- 4.39, N = 3SE +/- 8.87, N = 320174.7619926.6115958.1611234.6011121.5910901.478541.126629.065622.825463.454078.213306.392708.901. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P16K32K48K64K80KSE +/- 4.67, N = 3SE +/- 15.77, N = 3SE +/- 3.00, N = 3SE +/- 72.25, N = 3SE +/- 17.06, N = 3SE +/- 8.37, N = 3SE +/- 9.84, N = 3SE +/- 1.00, N = 3SE +/- 3.33, N = 3SE +/- 3.06, N = 3SE +/- 12.17, N = 3SE +/- 4.10, N = 3SE +/- 1.67, N = 3SE +/- 2.31, N = 373579700336111959963445964370342800337552634522314214541622413183108251. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P30K60K90K120K150KSE +/- 32.87, N = 3SE +/- 31.81, N = 3SE +/- 45.55, N = 3SE +/- 87.07, N = 3SE +/- 28.55, N = 3SE +/- 15.49, N = 3SE +/- 7.45, N = 3SE +/- 16.32, N = 3SE +/- 28.27, N = 3SE +/- 34.38, N = 3SE +/- 30.64, N = 3SE +/- 28.65, N = 3SE +/- 28.30, N = 3SE +/- 6.91, N = 3143292.79143169.12120520.68119683.6594237.6587391.7985303.3571372.7956973.8548284.8346017.2035086.9528528.3423406.401. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3K6K9K12K15KSE +/- 2.16, N = 3SE +/- 5.99, N = 3SE +/- 6.05, N = 3SE +/- 2.98, N = 3SE +/- 6.32, N = 3SE +/- 2.43, N = 3SE +/- 0.38, N = 3SE +/- 2.53, N = 3SE +/- 5.77, N = 3SE +/- 0.60, N = 3SE +/- 0.42, N = 3SE +/- 2.21, N = 3SE +/- 0.98, N = 312091.5611996.599992.157720.587273.717105.735847.704580.083871.573760.662821.192288.331878.741. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Context Switching

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P4M8M12M16M20MSE +/- 163606.09, N = 3SE +/- 235328.27, N = 3SE +/- 29075.41, N = 3SE +/- 65922.96, N = 3SE +/- 19374.10, N = 3SE +/- 55451.20, N = 3SE +/- 28222.94, N = 3SE +/- 30731.73, N = 3SE +/- 35625.01, N = 3SE +/- 32954.83, N = 3SE +/- 15626.15, N = 3SE +/- 6120.44, N = 3SE +/- 9437.39, N = 320981193.8820917619.7617727598.8413858394.6112896969.6412627261.9310443329.128225794.407003110.186612368.675095560.164265815.033438510.351. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P40K80K120K160K200KSE +/- 1795.92, N = 3SE +/- 558.83, N = 3SE +/- 457.19, N = 3SE +/- 157.32, N = 3SE +/- 1288.21, N = 3SE +/- 270.71, N = 3SE +/- 377.08, N = 3SE +/- 417.25, N = 3SE +/- 123.36, N = 3SE +/- 294.16, N = 3SE +/- 183.06, N = 3SE +/- 382.53, N = 3SE +/- 186.09, N = 3179496.78179226.24152001.95122762.96112205.01110766.7992207.0776923.3963930.7259431.0346780.9438378.0831690.601. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P90K180K270K360K450KSE +/- 137.59, N = 3SE +/- 205.94, N = 3SE +/- 189.45, N = 3SE +/- 32.95, N = 3SE +/- 66.32, N = 3SE +/- 47.74, N = 3SE +/- 100.32, N = 3SE +/- 3.54, N = 3SE +/- 3.30, N = 3SE +/- 4.86, N = 3SE +/- 1.61, N = 3SE +/- 4.12, N = 3SE +/- 4.97, N = 3400773.38397326.45328019.70241722.09237596.66232455.68182716.39142756.35120826.81117080.8687851.5871366.1758583.381. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Google SynthMark

Test: VoiceMark_100

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7302PEPYC 7532EPYC 7552EPYC 7662EPYC 7232PEPYC 7272EPYC 7282160320480640800SE +/- 0.17, N = 3SE +/- 0.59, N = 3SE +/- 0.70, N = 3SE +/- 0.11, N = 3SE +/- 0.32, N = 3SE +/- 0.57, N = 3SE +/- 0.13, N = 3SE +/- 0.46, N = 3SE +/- 0.70, N = 3SE +/- 0.57, N = 3SE +/- 0.27, N = 3SE +/- 0.12, N = 3SE +/- 0.36, N = 3740.58739.72645.87637.38636.43635.92627.74627.06626.57624.73608.61608.05605.831. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

Parboil

Test: OpenMP Stencil

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP StencilEPYC 7702EPYC 7662EPYC 7642EPYC 7532EPYC 7552EPYC 7302PEPYC 7502PEPYC 7542EPYC 7402PEPYC 7282EPYC 7272EPYC 7F52EPYC 7F32EPYC 7232P3691215SE +/- 0.025502, N = 9SE +/- 0.021316, N = 15SE +/- 0.024850, N = 7SE +/- 0.046959, N = 15SE +/- 0.017804, N = 7SE +/- 0.040278, N = 15SE +/- 0.076520, N = 15SE +/- 0.076268, N = 15SE +/- 0.017882, N = 6SE +/- 0.040723, N = 15SE +/- 0.172857, N = 15SE +/- 0.084885, N = 6SE +/- 0.288514, N = 15SE +/- 0.312883, N = 143.0864353.1001223.1946623.6215073.7795684.1769714.2463614.3958504.5725915.7589257.6315978.6831319.84410210.6350231. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7F32EPYC 7542EPYC 7642EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7662EPYC 7552EPYC 7532EPYC 7272EPYC 7702EPYC 7232PEPYC 7282EPYC 7F522004006008001000SE +/- 2.91, N = 3SE +/- 3.23, N = 3SE +/- 1.66, N = 3SE +/- 2.49, N = 3SE +/- 3.41, N = 3SE +/- 1.97, N = 3SE +/- 7.17, N = 3SE +/- 3.34, N = 3SE +/- 1.89, N = 3SE +/- 3.25, N = 3SE +/- 3.26, N = 3SE +/- 1.85, N = 3SE +/- 3.07, N = 3SE +/- 5.28, N = 3967.37908.46903.30899.45898.84898.21897.59895.52895.33864.62861.35861.07858.54773.861. (CXX) g++ options: -O3 -std=c++11 -fopenmp

CloverLeaf

Lagrangian-Eulerian Hydrodynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsEPYC 7642EPYC 7662EPYC 7702EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P1632486480SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 4SE +/- 0.07, N = 4SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 313.6614.0314.7015.2815.2918.6119.0720.3522.8325.2136.8045.4648.2969.911. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

toyBrot Fractal Generator

Implementation: C++ Tasks

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ TasksEPYC 7532EPYC 7282EPYC 7F329K18K27K36K45KSE +/- 28.15, N = 4SE +/- 97.58, N = 3SE +/- 11.72, N = 31379825683416791. (CXX) g++ options: -O3 -lpthread

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7662EPYC 7552EPYC 7272EPYC 7282EPYC 7532EPYC 7232P2M4M6M8M10MSE +/- 3201.01, N = 3SE +/- 9056.97, N = 3SE +/- 15198.80, N = 3SE +/- 4763.31, N = 3SE +/- 5954.89, N = 3SE +/- 2921.91, N = 3SE +/- 16881.14, N = 3SE +/- 6430.53, N = 3SE +/- 15133.11, N = 3SE +/- 4235.69, N = 3SE +/- 18409.69, N = 3SE +/- 8887.25, N = 3SE +/- 8448.82, N = 379400477939883698394568999486880760680430567876926753902667488165513516547690654521164146091. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

toyBrot Fractal Generator

Implementation: OpenMP

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMPEPYC 7532EPYC 7282EPYC 7F329K18K27K36K45KSE +/- 17.05, N = 4SE +/- 4.48, N = 3SE +/- 1.20, N = 31392625388414221. (CXX) g++ options: -O3 -lpthread

toyBrot Fractal Generator

Implementation: C++ Threads

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ ThreadsEPYC 7532EPYC 7282EPYC 7F329K18K27K36K45KSE +/- 29.85, N = 4SE +/- 18.66, N = 3SE +/- 8.41, N = 31361925426415731. (CXX) g++ options: -O3 -lpthread

toyBrot Fractal Generator

Implementation: TBB

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBBEPYC 7532EPYC 7282EPYC 7F329K18K27K36K45KSE +/- 60.14, N = 4SE +/- 162.21, N = 3SE +/- 233.59, N = 31355625411416061. (CXX) g++ options: -O3 -lpthread

POV-Ray

Trace Time

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1326395265SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.24, N = 311.5011.5013.2713.2715.9417.1417.6720.4624.1828.7030.5138.4145.4755.781. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateEPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7302PEPYC 7552EPYC 7532EPYC 7642EPYC 7662EPYC 7282EPYC 7232PEPYC 72721326395265SE +/- 0.45, N = 3SE +/- 0.23, N = 3SE +/- 0.22, N = 3SE +/- 0.37, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.44, N = 3SE +/- 0.52, N = 3SE +/- 0.26, N = 3SE +/- 0.37, N = 3SE +/- 0.19, N = 3SE +/- 0.27, N = 3SE +/- 0.40, N = 3SE +/- 0.15, N = 349.150.456.756.957.257.557.658.158.358.458.659.159.560.0

DaCapo Benchmark

Java Test: Tradesoap

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapEPYC 7F52EPYC 7542EPYC 7402PEPYC 7502PEPYC 7282EPYC 7532EPYC 7302PEPYC 7552EPYC 7662EPYC 7702EPYC 7272EPYC 7F32EPYC 7232P11002200330044005500SE +/- 17.61, N = 4SE +/- 30.98, N = 5SE +/- 36.08, N = 5SE +/- 31.58, N = 20SE +/- 23.50, N = 13SE +/- 38.48, N = 5SE +/- 23.38, N = 5SE +/- 25.46, N = 5SE +/- 22.90, N = 5SE +/- 23.53, N = 20SE +/- 35.80, N = 6SE +/- 13.18, N = 4SE +/- 47.23, N = 43288330433103358349234973526355036243626375740955021

XZ Compression

Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9EPYC 7F52EPYC 7642EPYC 7702EPYC 7662EPYC 7532EPYC 7542EPYC 7402PEPYC 7502PEPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P816243240SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.19, N = 9SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 321.4322.0122.0522.0522.0922.3022.4022.4222.5423.1524.9025.6629.6134.511. (CC) gcc options: -pthread -fvisibility=hidden -O2

Polyhedron Fortran Benchmarks

Benchmark: linpk

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkEPYC 77020.73131.46262.19392.92523.65653.25

Tungsten Renderer

Scene: Water Caustic

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticEPYC 7702EPYC 7662EPYC 7642EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.25, N = 3SE +/- 0.41, N = 321.9722.1322.5522.6422.6523.1123.5523.8724.4226.0226.7928.1029.9533.921. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 7F32EPYC 7F52EPYC 7542EPYC 7402PEPYC 7702EPYC 7302PEPYC 7502PEPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7272EPYC 7232PEPYC 728230060090012001500SE +/- 8.33, N = 3SE +/- 5.46, N = 3SE +/- 1.20, N = 3SE +/- 1.20, N = 3SE +/- 6.84, N = 3SE +/- 1.86, N = 3SE +/- 10.82, N = 3SE +/- 9.35, N = 3SE +/- 7.33, N = 3SE +/- 9.54, N = 3SE +/- 7.55, N = 3SE +/- 9.68, N = 3SE +/- 8.01, N = 3998999113711591166117211731178118011841184120812131221

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyEPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7662EPYC 7532EPYC 7642EPYC 7232PEPYC 7272EPYC 7282306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3116116133135135135137137137137138141141142

LULESH

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 7702EPYC 7662EPYC 7642EPYC 7532EPYC 7552EPYC 7542EPYC 7502PEPYC 7F32EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F52EPYC 7232P3K6K9K12K15KSE +/- 146.93, N = 12SE +/- 142.13, N = 3SE +/- 58.13, N = 4SE +/- 43.36, N = 4SE +/- 60.62, N = 4SE +/- 157.59, N = 4SE +/- 131.70, N = 5SE +/- 12.34, N = 6SE +/- 9.05, N = 6SE +/- 8.39, N = 6SE +/- 15.52, N = 6SE +/- 38.61, N = 6SE +/- 40.17, N = 6SE +/- 11.79, N = 614612.2114603.3314015.6613938.2513435.3013099.6212840.648720.888024.377954.156954.806871.936839.176757.991. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatEPYC 7F52EPYC 7F32EPYC 7502PEPYC 7702EPYC 7402PEPYC 7552EPYC 7662EPYC 7532EPYC 7302PEPYC 7542EPYC 7642EPYC 7272EPYC 7282EPYC 7232P306090120150SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3114115132133133134134134135135135138139143

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 7F52EPYC 7F32EPYC 7502PEPYC 7702EPYC 7542EPYC 7302PEPYC 7402PEPYC 7532EPYC 7552EPYC 7662EPYC 7272EPYC 7642EPYC 7232PEPYC 7282306090120150SE +/- 0.33, N = 3110111128129129130131131133133134134135135

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P918273645SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 339.1537.3936.0735.8135.0633.2532.7226.6126.3122.9421.7017.8315.5612.981. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7552EPYC 7662EPYC 7642EPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 321.6223.0024.2024.4324.5324.5624.8924.9224.9325.0225.0225.6526.0228.08

Stream-Dynamic

- Triad

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- TriadEPYC 7532EPYC 7542EPYC 728220K40K60K80K100KSE +/- 22.34, N = 3SE +/- 9.40, N = 3SE +/- 9.56, N = 3104119.1690450.7257372.731. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

Stream-Dynamic

- Add

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- AddEPYC 7532EPYC 7542EPYC 728220K40K60K80K100KSE +/- 8.82, N = 3SE +/- 6.47, N = 3SE +/- 10.53, N = 3103789.9990238.6357323.381. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

Stream-Dynamic

- Scale

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- ScaleEPYC 7532EPYC 7542EPYC 728220K40K60K80K100KSE +/- 25.57, N = 3SE +/- 12.91, N = 3SE +/- 11.66, N = 392368.4181529.0653610.351. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

Stream-Dynamic

- Copy

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- CopyEPYC 7532EPYC 7542EPYC 728220K40K60K80K100KSE +/- 15.65, N = 3SE +/- 16.48, N = 3SE +/- 10.71, N = 394075.6782081.4353581.271. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

Swet

Average

OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageEPYC 7F32EPYC 7F52EPYC 7542EPYC 7552EPYC 7702EPYC 7662EPYC 7402PEPYC 7302PEPYC 7502PEPYC 7532EPYC 7272EPYC 7282EPYC 7232P150M300M450M600M750MSE +/- 2325206.90, N = 3SE +/- 2209414.80, N = 3SE +/- 8506660.76, N = 3SE +/- 807930.96, N = 3SE +/- 2469610.76, N = 3SE +/- 5706451.14, N = 3SE +/- 2164773.96, N = 3SE +/- 3828695.03, N = 3SE +/- 4052005.46, N = 3SE +/- 1400113.05, N = 3SE +/- 2920022.24, N = 3SE +/- 5177314.46, N = 3SE +/- 6957648.38, N = 36863954196851888106122184256056443646024348856022038426000655725985892285973611975826843335811945885718255805618167721. (CC) gcc options: -lm -lpthread -lcurses -lrt

Pennant

Test: leblancbig

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 7662EPYC 7702EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1020304050SE +/- 0.054901, N = 6SE +/- 0.058701, N = 6SE +/- 0.095577, N = 5SE +/- 0.014397, N = 5SE +/- 0.043495, N = 4SE +/- 0.026648, N = 4SE +/- 0.007758, N = 4SE +/- 0.019214, N = 3SE +/- 0.036573, N = 3SE +/- 0.019691, N = 3SE +/- 0.292336, N = 3SE +/- 0.037928, N = 3SE +/- 0.039126, N = 36.9953217.0339828.98853810.88576014.16482014.78157016.13929016.65375021.95188028.99392033.80852034.58003045.1546001. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7532EPYC 7662EPYC 7702EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7272EPYC 7282EPYC 7232P200M400M600M800M1000MSE +/- 422202.49, N = 3SE +/- 229126.62, N = 3SE +/- 507394.80, N = 3SE +/- 989060.38, N = 3SE +/- 322962.48, N = 6SE +/- 405072.19, N = 4SE +/- 643499.89, N = 3SE +/- 142607.92, N = 3SE +/- 998206.04, N = 3SE +/- 3149876.45, N = 4SE +/- 252656.85, N = 4SE +/- 314598.13, N = 3SE +/- 295157.17, N = 59095326678837352008783753338568934008098445837882668757784594337743294677743048006431809254578553504557606334499164601. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

librsvg

Operation: SVG Files To PNG

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGEPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7272EPYC 7532EPYC 7702EPYC 7282EPYC 7552EPYC 7662EPYC 7232P612182430SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 320.0320.4823.3523.6523.6623.7824.0924.0924.3424.4624.5324.7325.021. rsvg-convert version 2.48.9

Botan

Test: AES-256

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256EPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7532EPYC 7662EPYC 7642EPYC 7552EPYC 7232PEPYC 7282EPYC 727211002200330044005500SE +/- 1.69, N = 3SE +/- 1.30, N = 3SE +/- 2.98, N = 3SE +/- 1.00, N = 3SE +/- 3.31, N = 3SE +/- 0.83, N = 3SE +/- 0.26, N = 3SE +/- 1.33, N = 3SE +/- 0.85, N = 3SE +/- 3.58, N = 3SE +/- 3.88, N = 3SE +/- 13.87, N = 3SE +/- 0.80, N = 3SE +/- 7.02, N = 35238.765226.754561.194499.504497.774487.904430.724429.474429.194425.924421.414311.064293.874290.851. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2EPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7642EPYC 7662EPYC 7532EPYC 7552EPYC 7232PEPYC 7272EPYC 728280160240320400SE +/- 0.35, N = 3SE +/- 0.41, N = 3SE +/- 0.10, N = 3SE +/- 0.62, N = 3SE +/- 0.03, N = 3SE +/- 0.72, N = 3SE +/- 0.94, N = 3SE +/- 0.40, N = 3SE +/- 0.29, N = 3SE +/- 0.88, N = 3SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.22, N = 3SE +/- 0.21, N = 3286.43288.47333.28333.30336.66336.89339.05341.93342.47344.25344.33347.18347.77350.76MIN: 283.81 / MAX: 294.29MIN: 285.34 / MAX: 304.15MIN: 329.87 / MAX: 349.8MIN: 330.49 / MAX: 343.73MIN: 333.97 / MAX: 348.51MIN: 332.6 / MAX: 347.08MIN: 335.68 / MAX: 355.89MIN: 337.09 / MAX: 359.76MIN: 338.7 / MAX: 360.58MIN: 339.59 / MAX: 367.05MIN: 340.96 / MAX: 358.42MIN: 343.85 / MAX: 356.42MIN: 345.44 / MAX: 366.04MIN: 346.27 / MAX: 363.671. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Timed MPlayer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1020304050SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 312.9612.9913.7113.8215.6916.3816.4618.5920.5724.0626.2731.1435.2545.59

Basis Universal

Settings: UASTC Level 2

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2EPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P918273645SE +/- 0.00, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 313.2113.3014.2415.6416.3116.7018.1719.8623.3424.2429.2432.6339.671. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

JPEG XL

Input: JPEG - Encode Speed: 5

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 5EPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7532EPYC 72821428425670SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 360.5760.2558.6858.5954.9753.841. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7662EPYC 7642EPYC 7402PEPYC 7552EPYC 7702EPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P2004006008001000SE +/- 0.51, N = 3SE +/- 1.50, N = 3SE +/- 0.71, N = 3SE +/- 0.42, N = 3SE +/- 0.53, N = 3SE +/- 1.18, N = 3SE +/- 0.40, N = 3SE +/- 0.82, N = 3SE +/- 1.46, N = 3SE +/- 0.79, N = 3SE +/- 0.19, N = 3SE +/- 1.22, N = 3SE +/- 0.49, N = 3SE +/- 0.40, N = 31062.321039.60983.45974.40966.04963.00962.88956.82954.20949.15943.29928.43919.01876.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp

AOM AV1

Encoder Mode: Speed 4 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7662EPYC 7552EPYC 7532EPYC 7302PEPYC 7642EPYC 7282EPYC 7272EPYC 7232P0.56481.12961.69442.25922.824SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.512.382.222.202.192.172.162.162.152.142.122.082.051.981. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7702EPYC 7662EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P816243240SE +/- 0.00, N = 4SE +/- 0.01, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.356.387.429.089.739.9911.7114.0216.6817.7322.4027.1633.151. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Timed ImageMagick Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P918273645SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 317.1217.1917.6718.0618.9419.2719.4120.4321.6323.5525.4628.2228.6037.72

OCRMyPDF

Processing 60 Page PDF Document

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC 7542EPYC 7702EPYC 7662EPYC 7552EPYC 7502PEPYC 7F52EPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P816243240SE +/- 0.11, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 318.6618.7318.7918.8619.3819.8619.9420.8723.3924.2326.9027.2033.02

Scikit-Learn

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1EPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7662EPYC 7702EPYC 7402PEPYC 7302PEPYC 7532EPYC 7642EPYC 7552EPYC 7282EPYC 7272EPYC 7232P3691215SE +/- 0.031, N = 5SE +/- 0.004, N = 5SE +/- 0.158, N = 15SE +/- 0.003, N = 5SE +/- 0.006, N = 5SE +/- 0.051, N = 5SE +/- 0.006, N = 5SE +/- 0.012, N = 5SE +/- 0.004, N = 5SE +/- 0.016, N = 5SE +/- 0.009, N = 5SE +/- 0.010, N = 5SE +/- 0.007, N = 5SE +/- 0.168, N = 159.2409.29310.07410.08310.13010.13110.15410.28110.32510.33710.35810.53910.74611.327

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC 7662EPYC 7702EPYC 7642EPYC 7532EPYC 7552EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7232PEPYC 7272EPYC 7302PEPYC 7282EPYC 7F32510152025SE +/- 0.030, N = 5SE +/- 0.017, N = 5SE +/- 0.074, N = 15SE +/- 0.016, N = 5SE +/- 0.119, N = 4SE +/- 0.022, N = 4SE +/- 0.007, N = 4SE +/- 0.042, N = 4SE +/- 0.049, N = 4SE +/- 0.040, N = 4SE +/- 0.079, N = 3SE +/- 0.034, N = 3SE +/- 0.159, N = 8SE +/- 0.017, N = 38.9058.9289.1859.91312.02714.31614.32014.76115.04915.54016.89517.72918.18919.7071. (CXX) g++ options: -O2 -lOpenCL

Etcpak

Configuration: ETC1 + Dithering

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC1 + DitheringEPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7502PEPYC 7402PEPYC 7552EPYC 7302PEPYC 7662EPYC 7532EPYC 7272EPYC 7232PEPYC 728260120180240300SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3257.01256.42223.49220.80220.76220.71217.50217.50217.45216.79211.03210.93210.721. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7662EPYC 7302PEPYC 7532EPYC 7642EPYC 7552EPYC 7232PEPYC 7272EPYC 728270140210280350SE +/- 0.36, N = 3SE +/- 0.12, N = 3SE +/- 0.29, N = 3SE +/- 0.71, N = 3SE +/- 0.80, N = 3SE +/- 0.19, N = 3SE +/- 0.83, N = 3SE +/- 0.82, N = 3SE +/- 0.26, N = 3SE +/- 1.03, N = 3SE +/- 1.22, N = 3SE +/- 0.77, N = 3SE +/- 0.11, N = 3SE +/- 1.44, N = 3269.64269.92308.94312.89313.01314.31317.55318.37318.58318.67318.67327.99328.36328.64MIN: 267.19 / MAX: 279.76MIN: 267.18 / MAX: 272.47MIN: 306.29 / MAX: 322.41MIN: 310.9 / MAX: 315.08MIN: 310.72 / MAX: 314.66MIN: 311.3 / MAX: 317.52MIN: 315.59 / MAX: 319.4MIN: 315.66 / MAX: 323.53MIN: 315.09 / MAX: 320.21MIN: 315.68 / MAX: 321.91MIN: 315.63 / MAX: 323.01MIN: 325.21 / MAX: 329.77MIN: 325.02 / MAX: 339.93MIN: 325.19 / MAX: 342.81. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7272EPYC 7F52EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7232P246810SE +/- 0.00798, N = 3SE +/- 0.00645, N = 3SE +/- 0.00608, N = 3SE +/- 0.00201, N = 3SE +/- 0.00531, N = 3SE +/- 0.00464, N = 3SE +/- 0.00309, N = 3SE +/- 0.00535, N = 3SE +/- 0.02104, N = 3SE +/- 0.02587, N = 3SE +/- 0.00946, N = 3SE +/- 0.02527, N = 3SE +/- 0.00611, N = 3SE +/- 0.02294, N = 31.798741.888421.930421.997072.069832.151942.205435.253315.496055.922046.034976.063337.237638.67154MIN: 1.69MIN: 1.8MIN: 1.82MIN: 1.91MIN: 2MIN: 2.02MIN: 2.05MIN: 5.07MIN: 5.32MIN: 5.79MIN: 5.92MIN: 5.87MIN: 7.01MIN: 8.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

SVT-AV1

Encoder Mode: Enc Mode 4 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.060, N = 3SE +/- 0.003, N = 3SE +/- 0.039, N = 4SE +/- 0.012, N = 3SE +/- 0.032, N = 4SE +/- 0.048, N = 4SE +/- 0.032, N = 3SE +/- 0.043, N = 3SE +/- 0.035, N = 4SE +/- 0.017, N = 3SE +/- 0.006, N = 3SE +/- 0.008, N = 3SE +/- 0.023, N = 3SE +/- 0.008, N = 36.9666.7526.6786.4946.0915.9585.8665.5635.3334.5064.2253.5933.1842.5361. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

Etcpak

Configuration: ETC1

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC1EPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7662EPYC 7532EPYC 7302PEPYC 7552EPYC 7232PEPYC 7272EPYC 728260120180240300SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3271.32271.07236.91233.51233.39233.35229.86229.73229.56229.46223.03222.62222.361. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7552EPYC 7532EPYC 7642EPYC 7302PEPYC 7662EPYC 7272EPYC 7282EPYC 7232P510152025SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 317.6717.7020.1020.2920.3920.5020.8520.8620.8620.8720.9021.2721.3822.451. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P918273645SE +/- 0.00, N = 6SE +/- 0.00, N = 6SE +/- 0.00, N = 5SE +/- 0.17, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.08, N = 6SE +/- 0.00, N = 340.0040.0034.4834.4827.7826.0525.0020.8314.0813.8913.4510.428.166.99MIN: 38.46 / MAX: 41.67MIN: 34.48 / MAX: 41.67MIN: 33.33 / MAX: 35.71MIN: 33.33 / MAX: 35.71MIN: 27.03MIN: 25.64 / MAX: 26.32MIN: 23.81 / MAX: 25.64MIN: 20.41 / MAX: 21.28MIN: 12.99 / MAX: 14.29MIN: 13.33 / MAX: 14.08MIN: 12.82 / MAX: 13.89MIN: 10.1 / MAX: 10.64MIN: 6.85 / MAX: 8.4MIN: 5.95 / MAX: 7.04

Numenta Anomaly Benchmark

Detector: Relative Entropy

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyEPYC 7F52EPYC 7542EPYC 7502PEPYC 7642EPYC 7702EPYC 7662EPYC 7552EPYC 7402PEPYC 7532EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P612182430SE +/- 0.08, N = 4SE +/- 0.06, N = 4SE +/- 0.15, N = 4SE +/- 0.13, N = 4SE +/- 0.03, N = 4SE +/- 0.10, N = 4SE +/- 0.08, N = 4SE +/- 0.05, N = 4SE +/- 0.08, N = 4SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 314.6015.7215.8515.8915.9415.9715.9716.1216.3317.1818.1018.8819.1123.56

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsEPYC 7F32EPYC 7F52EPYC 7542EPYC 7402PEPYC 7702EPYC 7502PEPYC 7642EPYC 7662EPYC 7532EPYC 7302PEPYC 7552EPYC 7272EPYC 7282EPYC 7232P510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 317.5617.6020.1120.4820.5620.6920.7420.7820.7920.7920.8121.3921.4221.55

Botan

Test: Blowfish

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishEPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7502PEPYC 7402PEPYC 7552EPYC 7532EPYC 7662EPYC 7302PEPYC 7642EPYC 7232PEPYC 7272EPYC 728290180270360450SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.40, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.25, N = 3429.41429.14374.52368.93368.69368.38363.50363.10362.99362.20361.80352.29352.07351.141. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7542EPYC 7662EPYC 7552EPYC 7502PEPYC 7532EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.45410.90821.36231.81642.2705SE +/- 0.003528, N = 4SE +/- 0.000738, N = 4SE +/- 0.005359, N = 5SE +/- 0.004962, N = 15SE +/- 0.000902, N = 4SE +/- 0.005528, N = 6SE +/- 0.002887, N = 4SE +/- 0.000660, N = 4SE +/- 0.001140, N = 4SE +/- 0.000863, N = 4SE +/- 0.000258, N = 4SE +/- 0.000447, N = 4SE +/- 0.001580, N = 4SE +/- 0.005714, N = 40.4842190.5005210.5170230.5339610.5376360.5534440.5874430.5923080.6604190.8022720.8757491.0934401.1601702.018380MIN: 0.46MIN: 0.48MIN: 0.47MIN: 0.49MIN: 0.51MIN: 0.49MIN: 0.54MIN: 0.56MIN: 0.62MIN: 0.72MIN: 0.74MIN: 0.96MIN: 1.13MIN: 1.951. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Botan

Test: Twofish

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishEPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7662EPYC 7532EPYC 7302PEPYC 7552EPYC 7642EPYC 7232PEPYC 7272EPYC 728280160240320400SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.37, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3351.99351.63306.62302.25302.14302.12297.81297.71297.65297.10296.91288.70288.62287.931. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

AOM AV1

Encoder Mode: Speed 8 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7F52EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7702EPYC 7302PEPYC 7552EPYC 7662EPYC 7532EPYC 7642EPYC 7282EPYC 7272EPYC 7232P816243240SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.34, N = 5SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 335.5635.4833.5132.9932.8632.7832.6232.6032.5432.3532.3132.0331.6331.081. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7542EPYC 7662EPYC 7502PEPYC 7552EPYC 7532EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232P1.06622.13243.19864.26485.331SE +/- 0.00906, N = 4SE +/- 0.00341, N = 4SE +/- 0.01406, N = 4SE +/- 0.00185, N = 4SE +/- 0.00439, N = 4SE +/- 0.00891, N = 4SE +/- 0.00178, N = 4SE +/- 0.00090, N = 4SE +/- 0.01053, N = 4SE +/- 0.00144, N = 4SE +/- 0.00488, N = 4SE +/- 0.00382, N = 4SE +/- 0.00316, N = 4SE +/- 0.00331, N = 41.467751.472221.489811.593001.599381.615021.703601.829511.980352.410823.446683.560203.809554.73866MIN: 1.39MIN: 1.41MIN: 1.33MIN: 1.51MIN: 1.51MIN: 1.5MIN: 1.48MIN: 1.74MIN: 1.86MIN: 2.2MIN: 2.92MIN: 3.44MIN: 3.44MIN: 4.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUEPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7642EPYC 7552EPYC 7662EPYC 7302PEPYC 7702EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.75761.51522.27283.03043.788SE +/- 0.00302, N = 4SE +/- 0.00119, N = 4SE +/- 0.00172, N = 4SE +/- 0.00089, N = 4SE +/- 0.00643, N = 4SE +/- 0.00473, N = 4SE +/- 0.01048, N = 4SE +/- 0.01452, N = 4SE +/- 0.00055, N = 4SE +/- 0.01081, N = 4SE +/- 0.00098, N = 4SE +/- 0.00157, N = 4SE +/- 0.00055, N = 4SE +/- 0.00108, N = 41.164021.182041.212301.434871.521431.667501.730071.741991.749751.805981.806472.437602.790343.36727MIN: 1.12MIN: 1.13MIN: 1.14MIN: 1.4MIN: 1.48MIN: 1.4MIN: 1.5MIN: 1.45MIN: 1.72MIN: 1.54MIN: 1.75MIN: 2.4MIN: 2.71MIN: 3.31. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Botan

Test: CAST-256

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7302PEPYC 7272EPYC 7232PEPYC 7282306090120150SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.28, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3139.83139.71121.92120.06120.00119.99118.32118.29118.23117.99117.88114.69114.59114.471. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Botan

Test: KASUMI

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIEPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7502PEPYC 7402PEPYC 7552EPYC 7662EPYC 7532EPYC 7302PEPYC 7642EPYC 7232PEPYC 7272EPYC 728220406080100SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 390.4690.4278.8877.7077.6977.5776.5876.5576.5376.5176.2274.2774.2174.061. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P612182430SE +/- 0.051, N = 15SE +/- 0.066, N = 8SE +/- 0.083, N = 6SE +/- 0.073, N = 5SE +/- 0.005, N = 5SE +/- 0.057, N = 5SE +/- 0.030, N = 5SE +/- 0.007, N = 4SE +/- 0.022, N = 4SE +/- 0.009, N = 4SE +/- 0.022, N = 4SE +/- 0.065, N = 3SE +/- 0.078, N = 3SE +/- 0.030, N = 37.7477.8198.4058.4349.8069.8589.89211.57713.53014.79215.44518.13422.21825.3741. (CXX) g++ options: -O2 -lOpenCL

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P714212835SE +/- 0.04, N = 6SE +/- 0.03, N = 6SE +/- 0.02, N = 6SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 4SE +/- 0.02, N = 4SE +/- 0.12, N = 6SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 329.4127.6726.1321.5520.2520.1417.1714.2412.1811.349.037.946.55

ASKAP

Test: Hogbom Clean OpenMP

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPEPYC 7542EPYC 7502PEPYC 7662EPYC 7532EPYC 7702EPYC 7642EPYC 7402PEPYC 7302PEPYC 7552EPYC 7F32EPYC 7282EPYC 7272EPYC 7232PEPYC 7F52100200300400500SE +/- 1.71, N = 3SE +/- 1.71, N = 3SE +/- 1.71, N = 3SE +/- 0.64, N = 3SE +/- 2.16, N = 3SE +/- 0.00, N = 3SE +/- 3.44, N = 3SE +/- 0.62, N = 3SE +/- 0.98, N = 3SE +/- 1.74, N = 3SE +/- 2.18, N = 3SE +/- 2.09, N = 3SE +/- 1.09, N = 3SE +/- 0.57, N = 3439.25439.25439.25439.24432.92432.90432.33432.28411.53380.73378.81370.39351.71140.921. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P0.80631.61262.41893.22524.0315SE +/- 0.000537, N = 4SE +/- 0.002127, N = 4SE +/- 0.001659, N = 4SE +/- 0.000788, N = 4SE +/- 0.005244, N = 4SE +/- 0.003967, N = 4SE +/- 0.001948, N = 4SE +/- 0.009261, N = 15SE +/- 0.001361, N = 4SE +/- 0.001219, N = 4SE +/- 0.001269, N = 4SE +/- 0.001298, N = 4SE +/- 0.000640, N = 4SE +/- 0.001594, N = 40.7808030.8006430.8631460.8680241.0158201.0739901.1048601.2959901.5650301.8417801.9130502.4937203.0129203.583630MIN: 0.7MIN: 0.76MIN: 0.77MIN: 0.81MIN: 0.98MIN: 0.98MIN: 0.99MIN: 1.25MIN: 1.54MIN: 1.82MIN: 1.87MIN: 2.45MIN: 2.73MIN: 3.541. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Sysbench

Test: Memory

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: MemoryEPYC 7282EPYC 7272EPYC 7542EPYC 7502PEPYC 7552EPYC 7662EPYC 7702EPYC 7232PEPYC 7402PEPYC 7532EPYC 7F32EPYC 7302PEPYC 7F522M4M6M8M10MSE +/- 11575.58, N = 5SE +/- 1918.40, N = 5SE +/- 8561.16, N = 5SE +/- 5458.69, N = 5SE +/- 14871.56, N = 5SE +/- 35042.66, N = 5SE +/- 11992.02, N = 5SE +/- 12382.78, N = 5SE +/- 6709.34, N = 5SE +/- 61191.25, N = 15SE +/- 717.93, N = 5SE +/- 780.60, N = 5SE +/- 17904.29, N = 57880986.597232205.306618850.246612746.506380400.356374595.126302136.655942474.375614019.494720934.264656182.264502591.453087955.631. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

Tungsten Renderer

Scene: Hair

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P816243240SE +/- 0.02278, N = 6SE +/- 0.02077, N = 6SE +/- 0.03455, N = 5SE +/- 0.04134, N = 5SE +/- 0.02895, N = 5SE +/- 0.00983, N = 5SE +/- 0.03618, N = 5SE +/- 0.02622, N = 4SE +/- 0.03705, N = 4SE +/- 0.02745, N = 3SE +/- 0.03890, N = 3SE +/- 0.03918, N = 3SE +/- 0.01111, N = 3SE +/- 0.03115, N = 37.507067.550938.568288.719539.9284910.5740010.8131012.2623014.1327016.6175017.6542021.9958026.5161032.538801. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7702EPYC 7662EPYC 7642EPYC 7532EPYC 7552EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232PEPYC 7F5215003000450060007500SE +/- 47.34, N = 4SE +/- 42.67, N = 4SE +/- 40.59, N = 4SE +/- 38.66, N = 4SE +/- 36.86, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 35.55, N = 4SE +/- 37.73, N = 3SE +/- 30.11, N = 2SE +/- 10.27, N = 4SE +/- 10.02, N = 4SE +/- 6.46, N = 4SE +/- 3.57, N = 47148.776699.076615.816455.406302.575788.175788.175726.605509.304004.083317.933257.042616.811406.931. (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 - GriddingEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7272EPYC 7232PEPYC 7F522K4K6K8K10KSE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 81.97, N = 4SE +/- 77.48, N = 4SE +/- 63.04, N = 4SE +/- 67.99, N = 4SE +/- 79.54, N = 4SE +/- 72.46, N = 4SE +/- 57.68, N = 5SE +/- 0.00, N = 4SE +/- 35.30, N = 4SE +/- 17.38, N = 4SE +/- 7.61, N = 4SE +/- 0.00, N = 49509.149509.149427.178454.708257.476658.486617.906379.885503.594294.454035.114004.082840.132113.141. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

JPEG XL

Input: PNG - Encode Speed: 5

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 5EPYC 7542EPYC 7502PEPYC 7532EPYC 7F52EPYC 7282EPYC 7F3220406080100SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 380.0579.5976.1873.8367.2963.511. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7642EPYC 7662EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7702EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P1326395265SE +/- 0.16, N = 5SE +/- 0.44, N = 5SE +/- 0.05, N = 5SE +/- 0.48, N = 5SE +/- 0.05, N = 5SE +/- 0.03, N = 5SE +/- 0.54, N = 5SE +/- 0.05, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 359.5958.6456.9855.9954.9254.0753.5248.3347.1741.5239.6531.3927.1623.111. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

JPEG XL

Input: JPEG - Encode Speed: 7

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 7EPYC 7F32EPYC 7F52EPYC 7502PEPYC 7542EPYC 7532EPYC 72821326395265SE +/- 0.15, N = 4SE +/- 0.24, N = 4SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 360.2560.1258.6258.5954.7353.751. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

Nebular Empirical Analysis Tool

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29EPYC 7F52EPYC 7542EPYC 7502PEPYC 7552EPYC 7662EPYC 7402PEPYC 7642EPYC 7532EPYC 7702EPYC 7282EPYC 7F32EPYC 7302PEPYC 7272EPYC 7232P510152025SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 316.2016.3716.5516.6716.8916.9217.0317.2117.3717.3917.4417.7518.1021.351. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

Stream

Type: Copy

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: CopyEPYC 7532EPYC 7702EPYC 7662EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7232PEPYC 7272EPYC 728220K40K60K80K100KSE +/- 10.31, N = 5SE +/- 31.65, N = 5SE +/- 13.27, N = 5SE +/- 15.41, N = 5SE +/- 52.59, N = 5SE +/- 8.02, N = 5SE +/- 5.59, N = 5SE +/- 5.66, N = 5SE +/- 14.85, N = 5SE +/- 330.72, N = 5SE +/- 9.94, N = 5SE +/- 7.06, N = 5SE +/- 2.37, N = 590663.290511.890296.588717.282399.780140.179677.279674.179342.966901.152390.051714.451093.11. (CC) gcc options: -O3 -march=native -fopenmp

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7532EPYC 7302PEPYC 7662EPYC 7702EPYC 7542EPYC 7502PEPYC 7F32EPYC 7232PEPYC 7282EPYC 7F524K8K12K16K20KSE +/- 25.61, N = 5SE +/- 15.81, N = 5SE +/- 27.38, N = 5SE +/- 15.75, N = 5SE +/- 30.70, N = 5SE +/- 69.28, N = 5SE +/- 18.04, N = 4SE +/- 22.89, N = 4SE +/- 18.07, N = 4SE +/- 43.06, N = 318019.0115688.5715230.2315079.0814977.2914759.4012350.879844.959697.837779.491. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7662EPYC 7702EPYC 7532EPYC 7542EPYC 7502PEPYC 7302PEPYC 7282EPYC 7F32EPYC 7F52EPYC 7232P12K24K36K48K60KSE +/- 50.60, N = 5SE +/- 40.27, N = 5SE +/- 17.78, N = 5SE +/- 17.91, N = 5SE +/- 36.50, N = 5SE +/- 19.15, N = 4SE +/- 23.10, N = 4SE +/- 10.84, N = 4SE +/- 44.41, N = 3SE +/- 23.87, N = 355668.6355136.5049235.9247098.2246206.3337175.2029526.9727284.6922117.1721822.061. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Compression Effort 5EPYC 7542EPYC 7502PEPYC 7F52EPYC 7402PEPYC 7662EPYC 7532EPYC 7642EPYC 7702EPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.015, N = 6SE +/- 0.027, N = 6SE +/- 0.012, N = 6SE +/- 0.009, N = 6SE +/- 0.009, N = 6SE +/- 0.010, N = 6SE +/- 0.006, N = 6SE +/- 0.012, N = 6SE +/- 0.013, N = 6SE +/- 0.020, N = 5SE +/- 0.012, N = 5SE +/- 0.018, N = 5SE +/- 0.031, N = 4SE +/- 0.032, N = 47.9497.9727.9737.9748.0528.0558.0748.1258.1629.3549.65411.13112.78815.5471. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7662EPYC 7702EPYC 7F52EPYC 7302PEPYC 728220K40K60K80K100KSE +/- 539.59, N = 13SE +/- 330.58, N = 7SE +/- 79.26, N = 5SE +/- 122.30, N = 5SE +/- 30.77, N = 480724.1679909.2941985.3139529.2124658.721. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

DaCapo Benchmark

Java Test: Tradebeans

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansEPYC 7F32EPYC 7282EPYC 7542EPYC 7232PEPYC 7502PEPYC 7272EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7552EPYC 7532EPYC 7702EPYC 766210002000300040005000SE +/- 35.92, N = 5SE +/- 32.99, N = 5SE +/- 12.58, N = 5SE +/- 22.80, N = 5SE +/- 28.80, N = 5SE +/- 33.20, N = 5SE +/- 9.28, N = 5SE +/- 35.77, N = 5SE +/- 20.03, N = 5SE +/- 22.36, N = 5SE +/- 15.90, N = 5SE +/- 33.26, N = 5SE +/- 25.14, N = 53724388138863894391239713993408541384218430344074457

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: CPUEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20K40K60K80K100KSE +/- 52.65, N = 5SE +/- 97.15, N = 5SE +/- 23.00, N = 5SE +/- 20.39, N = 5SE +/- 9.32, N = 5SE +/- 7.32, N = 5SE +/- 12.89, N = 5SE +/- 7.33, N = 5SE +/- 9.93, N = 5SE +/- 10.65, N = 5SE +/- 5.53, N = 5SE +/- 2.64, N = 5SE +/- 1.09, N = 5108892.22106421.9580743.8956066.7956038.7255254.6642008.1132649.3627632.1926778.6220091.9616323.9213398.101. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7F32EPYC 7F52EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7702EPYC 7282EPYC 7272EPYC 7232P3691215SE +/- 0.030, N = 5SE +/- 0.037, N = 5SE +/- 0.014, N = 5SE +/- 0.027, N = 5SE +/- 0.030, N = 5SE +/- 0.004, N = 5SE +/- 0.033, N = 5SE +/- 0.021, N = 5SE +/- 0.024, N = 5SE +/- 0.037, N = 5SE +/- 0.027, N = 5SE +/- 0.028, N = 5SE +/- 0.023, N = 5SE +/- 0.035, N = 58.5988.8689.6029.7259.7359.8929.9259.9389.98910.04010.09710.22110.23611.1121. (CC) gcc options: -std=c99 -O3 -lm -lpthread

SVT-AV1

Encoder Mode: Enc Mode 8 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.32, N = 5SE +/- 0.27, N = 5SE +/- 0.16, N = 5SE +/- 0.20, N = 5SE +/- 0.18, N = 6SE +/- 0.25, N = 6SE +/- 0.17, N = 6SE +/- 0.03, N = 6SE +/- 0.21, N = 5SE +/- 0.17, N = 5SE +/- 0.09, N = 5SE +/- 0.11, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 483.4079.8263.2162.4059.9457.3256.5354.8742.8437.0435.3830.3826.1321.761. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

rays1bench

Large Scene

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P50100150200250SE +/- 0.20, N = 7SE +/- 0.21, N = 7SE +/- 0.11, N = 7SE +/- 0.08, N = 7SE +/- 0.03, N = 6SE +/- 0.06, N = 6SE +/- 0.06, N = 6SE +/- 0.04, N = 6SE +/- 0.10, N = 5SE +/- 0.08, N = 5SE +/- 0.06, N = 4SE +/- 0.04, N = 4SE +/- 0.01, N = 4SE +/- 0.08, N = 3243.57243.25218.73217.70182.59167.75163.00134.19109.9190.3784.5468.5159.6048.61

Basis Universal

Settings: UASTC Level 0

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0EPYC 7F52EPYC 7542EPYC 7F32EPYC 7702EPYC 7662EPYC 7502PEPYC 7552EPYC 7402PEPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P3691215SE +/- 0.005, N = 6SE +/- 0.005, N = 6SE +/- 0.002, N = 6SE +/- 0.006, N = 6SE +/- 0.002, N = 6SE +/- 0.002, N = 6SE +/- 0.003, N = 6SE +/- 0.009, N = 6SE +/- 0.003, N = 5SE +/- 0.005, N = 5SE +/- 0.007, N = 5SE +/- 0.002, N = 5SE +/- 0.005, N = 57.4538.0388.0778.0958.1328.1498.1988.2678.3578.6608.9239.1909.7561. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionEPYC 7F52EPYC 7F32EPYC 7542EPYC 7702EPYC 7402PEPYC 7502PEPYC 7552EPYC 7532EPYC 7642EPYC 7302PEPYC 7662EPYC 7232PEPYC 7272EPYC 72823691215SE +/- 0.003, N = 6SE +/- 0.010, N = 6SE +/- 0.004, N = 5SE +/- 0.005, N = 5SE +/- 0.014, N = 5SE +/- 0.025, N = 5SE +/- 0.001, N = 5SE +/- 0.005, N = 5SE +/- 0.009, N = 5SE +/- 0.009, N = 5SE +/- 0.025, N = 5SE +/- 0.004, N = 5SE +/- 0.009, N = 5SE +/- 0.025, N = 57.7397.7458.8619.0039.0149.0149.1269.1409.1459.1519.1549.4149.4199.4811. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUEPYC 7F52EPYC 7302PEPYC 7532EPYC 7402PEPYC 7F32EPYC 7642EPYC 7282EPYC 7502PEPYC 7542EPYC 7272EPYC 7552EPYC 7662EPYC 7702EPYC 7232P0.40040.80081.20121.60162.002SE +/- 0.002832, N = 5SE +/- 0.001293, N = 5SE +/- 0.002578, N = 5SE +/- 0.003852, N = 5SE +/- 0.006135, N = 5SE +/- 0.002582, N = 5SE +/- 0.003097, N = 5SE +/- 0.001432, N = 5SE +/- 0.003216, N = 5SE +/- 0.003339, N = 5SE +/- 0.005510, N = 5SE +/- 0.000841, N = 5SE +/- 0.001522, N = 5SE +/- 0.002555, N = 50.4899830.6012880.6411970.7113170.7982170.8132800.8168260.9903161.0004261.0389501.1323701.1460101.1627301.779470MIN: 0.45MIN: 0.56MIN: 0.58MIN: 0.66MIN: 0.75MIN: 0.76MIN: 0.74MIN: 0.95MIN: 0.94MIN: 0.95MIN: 1.07MIN: 1.09MIN: 1.1MIN: 1.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

DaCapo Benchmark

Java Test: H2

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2EPYC 7F32EPYC 7F52EPYC 7272EPYC 7302PEPYC 7282EPYC 7402PEPYC 7232PEPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7702EPYC 766210002000300040005000SE +/- 31.43, N = 6SE +/- 31.15, N = 7SE +/- 22.48, N = 6SE +/- 38.29, N = 5SE +/- 31.79, N = 5SE +/- 13.74, N = 5SE +/- 29.37, N = 5SE +/- 15.11, N = 5SE +/- 22.77, N = 5SE +/- 44.06, N = 5SE +/- 34.34, N = 5SE +/- 47.69, N = 5SE +/- 39.23, N = 53316332335523633367137783793386139174026446346864773

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUEPYC 7662EPYC 7702EPYC 7642EPYC 7532EPYC 7552EPYC 7F52EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.01221, N = 5SE +/- 0.00630, N = 5SE +/- 0.01041, N = 5SE +/- 0.00475, N = 5SE +/- 0.00795, N = 5SE +/- 0.01324, N = 5SE +/- 0.00208, N = 5SE +/- 0.00256, N = 5SE +/- 0.00471, N = 5SE +/- 0.01609, N = 5SE +/- 0.00189, N = 5SE +/- 0.00853, N = 5SE +/- 0.00869, N = 5SE +/- 0.01715, N = 51.125021.159431.220111.251542.286112.778262.958302.962833.763954.133824.472874.975126.682097.15030MIN: 1.2MIN: 2.2MIN: 2.68MIN: 2.88MIN: 2.89MIN: 3.68MIN: 3.91MIN: 4.3MIN: 4.75MIN: 6.52MIN: 6.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P20406080100SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.00, N = 7SE +/- 0.49, N = 6SE +/- 0.00, N = 6SE +/- 0.00, N = 6SE +/- 0.18, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 376.9276.9266.6766.6755.0750.0047.6241.6729.5929.4127.7821.7417.2414.29MIN: 62.5 / MAX: 83.33MIN: 71.43 / MAX: 83.33MIN: 62.5 / MAX: 71.43MIN: 58.82 / MAX: 71.43MIN: 50 / MAX: 55.56MIN: 45.45 / MAX: 52.63MIN: 45.45 / MAX: 50MIN: 38.46 / MAX: 43.48MIN: 27.78 / MAX: 31.25MIN: 27.78MIN: 26.32MIN: 20.83 / MAX: 22.22MIN: 16.67 / MAX: 17.86MIN: 13.89 / MAX: 14.49

JPEG XL

Input: JPEG - Encode Speed: 8

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 8EPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7532EPYC 7282612182430SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.03, N = 3SE +/- 0.02, N = 5SE +/- 0.02, N = 527.5927.4425.2325.0324.0623.051. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pEPYC 7662EPYC 7642EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P2004006008001000SE +/- 2.82, N = 3SE +/- 0.45, N = 3SE +/- 2.26, N = 3SE +/- 3.47, N = 3SE +/- 0.52, N = 3SE +/- 0.95, N = 3SE +/- 2.20, N = 3SE +/- 1.22, N = 3SE +/- 0.66, N = 3SE +/- 0.72, N = 3SE +/- 1.86, N = 3SE +/- 1.45, N = 3SE +/- 0.38, N = 3SE +/- 0.34, N = 31158.081116.831095.40983.61939.90937.73892.42839.06712.26698.08671.07624.79496.11473.82MIN: 644.06 / MAX: 1489.95MIN: 672.49 / MAX: 1434.66MIN: 671.87 / MAX: 1406.03MIN: 616.84 / MAX: 1260.07MIN: 689.36 / MAX: 1207.51MIN: 687.68 / MAX: 1200.87MIN: 641.23 / MAX: 1144.96MIN: 646.27 / MAX: 1067.76MIN: 546.18 / MAX: 898.36MIN: 539.13 / MAX: 873.36MIN: 524.48 / MAX: 829.64MIN: 483.27 / MAX: 784.91MIN: 390.79 / MAX: 704.31MIN: 365.77 / MAX: 674.591. (CC) gcc options: -pthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7232PEPYC 7702EPYC 7662EPYC 7552EPYC 7542EPYC 7F52EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F32EPYC 72723691215SE +/- 0.00, N = 5SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 55.826.686.786.937.027.107.177.337.478.308.639.049.381. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7662EPYC 7642EPYC 7702EPYC 7532EPYC 7552EPYC 7502PEPYC 7542EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.01107, N = 7SE +/- 0.00965, N = 7SE +/- 0.00551, N = 7SE +/- 0.01167, N = 7SE +/- 0.00723, N = 7SE +/- 0.01750, N = 7SE +/- 0.00813, N = 7SE +/- 0.00525, N = 7SE +/- 0.00742, N = 7SE +/- 0.03193, N = 7SE +/- 0.03514, N = 7SE +/- 0.00984, N = 7SE +/- 0.04127, N = 7SE +/- 0.04608, N = 73.504123.543163.558923.612683.840183.970433.976994.251115.454006.762426.915617.605059.1512410.95820MIN: 3.39MIN: 3.43MIN: 3.47MIN: 3.49MIN: 3.75MIN: 3.86MIN: 3.87MIN: 4.06MIN: 5.12MIN: 6.41MIN: 6.67MIN: 7.15MIN: 8.56MIN: 10.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianEPYC 7F52EPYC 7542EPYC 7702EPYC 7662EPYC 7502PEPYC 7552EPYC 7642EPYC 7402PEPYC 7532EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.016, N = 6SE +/- 0.016, N = 6SE +/- 0.029, N = 6SE +/- 0.038, N = 6SE +/- 0.020, N = 6SE +/- 0.025, N = 6SE +/- 0.036, N = 6SE +/- 0.041, N = 6SE +/- 0.044, N = 6SE +/- 0.018, N = 6SE +/- 0.033, N = 6SE +/- 0.043, N = 5SE +/- 0.034, N = 5SE +/- 0.047, N = 46.5866.9006.9306.9716.9897.0337.0637.1217.2207.6458.1058.7989.79011.912

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7662EPYC 7702EPYC 7642EPYC 7532EPYC 7552EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P246810SE +/- 0.002146, N = 7SE +/- 0.002719, N = 7SE +/- 0.002747, N = 7SE +/- 0.001701, N = 7SE +/- 0.003838, N = 7SE +/- 0.002179, N = 7SE +/- 0.011195, N = 7SE +/- 0.008223, N = 7SE +/- 0.005689, N = 7SE +/- 0.006442, N = 7SE +/- 0.007190, N = 7SE +/- 0.008434, N = 7SE +/- 0.005350, N = 7SE +/- 0.004801, N = 70.9937321.0784401.1080501.4837401.7196702.0018303.4617403.4623603.5434703.7064004.3013005.8645805.9534806.376680MIN: 1.28MIN: 1.63MIN: 1.91MIN: 3.38MIN: 3.38MIN: 3.47MIN: 3.6MIN: 4.22MIN: 5.63MIN: 5.82MIN: 6.271. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

libjpeg-turbo tjbench

Test: Decompression Throughput

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputEPYC 7F52EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7302PEPYC 7662EPYC 7552EPYC 7642EPYC 7532EPYC 7232PEPYC 7272EPYC 72824080120160200SE +/- 0.04, N = 7SE +/- 0.02, N = 7SE +/- 0.07, N = 7SE +/- 0.05, N = 7SE +/- 0.44, N = 7SE +/- 0.04, N = 7SE +/- 0.04, N = 7SE +/- 0.04, N = 7SE +/- 0.02, N = 7SE +/- 0.03, N = 7SE +/- 0.07, N = 7SE +/- 0.03, N = 7SE +/- 0.26, N = 7SE +/- 0.10, N = 7197.79197.77172.55170.11169.70169.54167.63167.62167.61167.57167.52162.56162.37162.071. (CC) gcc options: -O3 -rdynamic

FFTW

Build: Float + SSE - Size: 1D FFT Size 4096

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 4096EPYC 7F52EPYC 7F32EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7552EPYC 7532EPYC 7642EPYC 7302PEPYC 7662EPYC 7282EPYC 7272EPYC 7232P11K22K33K44K55KSE +/- 131.48, N = 6SE +/- 204.79, N = 6SE +/- 126.64, N = 6SE +/- 307.98, N = 6SE +/- 288.40, N = 6SE +/- 343.41, N = 6SE +/- 152.42, N = 6SE +/- 312.60, N = 6SE +/- 392.71, N = 6SE +/- 385.00, N = 7SE +/- 399.17, N = 6SE +/- 244.70, N = 6SE +/- 304.76, N = 6SE +/- 369.07, N = 650969506754432843936439034341443404432754283642761427304237541912417041. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

ECP-CANDLE

Benchmark: P1B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2EPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 7282EPYC 7702EPYC 7272EPYC 7232P102030405036.9840.5540.8941.0441.1541.3341.5241.8541.9142.3542.7843.1643.3844.49

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7302PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P100200300400500SE +/- 0.74, N = 3SE +/- 0.34, N = 3SE +/- 0.17, N = 3SE +/- 0.66, N = 3SE +/- 0.75, N = 3SE +/- 0.16, N = 3SE +/- 0.29, N = 3SE +/- 0.61, N = 3SE +/- 0.23, N = 3SE +/- 0.46, N = 3SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.14, N = 3457.27437.31416.96406.93367.19361.72349.99328.54245.60244.17239.84203.40168.17150.43MIN: 225.33 / MAX: 494.73MIN: 217.67 / MAX: 473.18MIN: 251.44 / MAX: 465MIN: 257.69 / MAX: 456.39MIN: 288.65 / MAX: 424.55MIN: 287.95 / MAX: 416.23MIN: 266.02 / MAX: 399.72MIN: 249.05 / MAX: 376.65MIN: 210.68 / MAX: 281.84MIN: 200.55 / MAX: 270.42MIN: 211 / MAX: 275.93MIN: 187.66 / MAX: 232.21MIN: 157.91 / MAX: 191.26MIN: 141.09 / MAX: 170.161. (CC) gcc options: -pthread

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7F52EPYC 7702EPYC 7662EPYC 7542EPYC 7552EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F32EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P246810SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 6SE +/- 0.00, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 65.515.765.835.835.895.936.056.066.286.476.686.977.651. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Tungsten Renderer

Scene: Volumetric Caustic

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticEPYC 7662EPYC 7642EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.00245, N = 8SE +/- 0.00169, N = 8SE +/- 0.00349, N = 8SE +/- 0.00214, N = 8SE +/- 0.00749, N = 8SE +/- 0.00220, N = 8SE +/- 0.00562, N = 7SE +/- 0.01885, N = 7SE +/- 0.05079, N = 6SE +/- 0.04707, N = 6SE +/- 0.03030, N = 6SE +/- 0.06509, N = 5SE +/- 0.08977, N = 4SE +/- 0.01019, N = 44.326094.361454.363724.462614.549044.695504.842565.274996.562767.400747.468719.8109812.4141013.926601. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

DaCapo Benchmark

Java Test: Jython

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonEPYC 7F52EPYC 7F32EPYC 7502PEPYC 7542EPYC 7702EPYC 7662EPYC 7402PEPYC 7532EPYC 7552EPYC 7302PEPYC 7282EPYC 7272EPYC 7232P12002400360048006000SE +/- 11.37, N = 7SE +/- 22.07, N = 7SE +/- 12.59, N = 6SE +/- 17.79, N = 6SE +/- 22.61, N = 6SE +/- 12.22, N = 6SE +/- 17.40, N = 6SE +/- 21.30, N = 6SE +/- 9.85, N = 6SE +/- 20.02, N = 6SE +/- 22.94, N = 6SE +/- 17.45, N = 6SE +/- 49.86, N = 64375454449164935501250215053507051125145528053535580

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7542EPYC 7642EPYC 7552EPYC 7502PEPYC 7662EPYC 7532EPYC 7402PEPYC 7702EPYC 7302PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P80160240320400SE +/- 6.75, N = 15SE +/- 6.69, N = 15SE +/- 6.16, N = 15SE +/- 5.89, N = 15SE +/- 5.77, N = 15SE +/- 5.85, N = 15SE +/- 5.48, N = 15SE +/- 4.45, N = 15SE +/- 2.50, N = 15SE +/- 2.97, N = 15SE +/- 1.82, N = 15SE +/- 1.04, N = 9SE +/- 0.53, N = 7SE +/- 0.51, N = 7350.63346.63336.24334.18332.56325.84319.05305.10242.24230.31229.82184.83124.35107.111. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

N-Queens

Elapsed Time

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P48121620SE +/- 0.001, N = 10SE +/- 0.001, N = 10SE +/- 0.001, N = 9SE +/- 0.000, N = 8SE +/- 0.001, N = 8SE +/- 0.001, N = 8SE +/- 0.001, N = 7SE +/- 0.000, N = 6SE +/- 0.000, N = 5SE +/- 0.004, N = 5SE +/- 0.000, N = 4SE +/- 0.000, N = 4SE +/- 0.001, N = 32.7872.8023.3524.2734.5994.7105.6457.1528.4498.78511.61814.29817.4211. (CC) gcc options: -static -fopenmp -O3 -march=native

Tungsten Renderer

Scene: Non-Exponential

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P3691215SE +/- 0.01113, N = 9SE +/- 0.00885, N = 9SE +/- 0.06689, N = 15SE +/- 0.01129, N = 9SE +/- 0.00498, N = 9SE +/- 0.00918, N = 9SE +/- 0.00744, N = 8SE +/- 0.01244, N = 7SE +/- 0.01335, N = 7SE +/- 0.01670, N = 7SE +/- 0.00686, N = 6SE +/- 0.01455, N = 5SE +/- 0.02852, N = 5SE +/- 0.02902, N = 42.801422.881753.198893.312623.470963.565553.702345.714265.846076.218156.365139.8310610.9009011.965401. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P9001800270036004500SE +/- 10.02, N = 10SE +/- 13.78, N = 10SE +/- 6.29, N = 9SE +/- 9.01, N = 9SE +/- 4.60, N = 8SE +/- 3.24, N = 8SE +/- 5.08, N = 8SE +/- 1.48, N = 7SE +/- 0.69, N = 6SE +/- 0.45, N = 6SE +/- 0.78, N = 6SE +/- 0.17, N = 5SE +/- 0.27, N = 4SE +/- 0.60, N = 43967.283908.233310.343252.132375.482368.692318.441806.541407.621191.901155.88867.81704.69578.121. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

x264

H.264 Video Encoding

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P50100150200250SE +/- 1.83, N = 15SE +/- 1.24, N = 15SE +/- 1.78, N = 15SE +/- 1.18, N = 15SE +/- 0.83, N = 9SE +/- 1.00, N = 9SE +/- 0.75, N = 9SE +/- 0.75, N = 9SE +/- 0.76, N = 9SE +/- 0.59, N = 8SE +/- 0.71, N = 8SE +/- 0.60, N = 7SE +/- 0.33, N = 7SE +/- 0.37, N = 6210.69203.74198.58198.00188.45182.42181.15174.63173.50150.45142.37117.1495.5078.211. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7662EPYC 7532EPYC 7702EPYC 7302PEPYC 7F32EPYC 7542EPYC 7502PEPYC 7232PEPYC 7282EPYC 7F5211K22K33K44K55KSE +/- 122.43, N = 8SE +/- 218.93, N = 8SE +/- 224.56, N = 8SE +/- 17.34, N = 8SE +/- 20.16, N = 8SE +/- 86.13, N = 8SE +/- 76.06, N = 8SE +/- 37.32, N = 7SE +/- 23.57, N = 6SE +/- 80.46, N = 552245.2352022.7651795.6147349.2945336.8944205.8044082.9530311.9429776.8121714.651. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

Etcpak

Configuration: DXT1

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: DXT1EPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7702EPYC 7402PEPYC 7552EPYC 7302PEPYC 7662EPYC 7532EPYC 7272EPYC 7232PEPYC 728230060090012001500SE +/- 0.24, N = 8SE +/- 2.05, N = 8SE +/- 1.94, N = 7SE +/- 1.96, N = 7SE +/- 1.34, N = 7SE +/- 1.99, N = 7SE +/- 1.97, N = 7SE +/- 1.74, N = 7SE +/- 2.20, N = 7SE +/- 2.27, N = 7SE +/- 1.94, N = 7SE +/- 1.98, N = 7SE +/- 2.23, N = 71179.301179.021035.231022.481019.211018.971008.241007.951007.221006.92978.85976.59975.221. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7662EPYC 7642EPYC 7702EPYC 7542EPYC 7502PEPYC 7552EPYC 7532EPYC 7402PEPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P30K60K90K120K150KSE +/- 1366.04, N = 15SE +/- 641.51, N = 9SE +/- 1033.87, N = 15SE +/- 143.74, N = 9SE +/- 160.95, N = 8SE +/- 375.36, N = 8SE +/- 154.09, N = 8SE +/- 134.09, N = 10SE +/- 80.44, N = 9SE +/- 71.59, N = 9SE +/- 308.97, N = 9SE +/- 22.37, N = 11SE +/- 37.94, N = 10SE +/- 139.55, N = 9155375.98149967.74145868.29144583.87136276.50135838.12135786.94111563.8484316.2376796.0471767.9661838.5254800.9944242.981. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7662EPYC 7552EPYC 7702EPYC 7402PEPYC 7542EPYC 7532EPYC 7502PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.01930, N = 15SE +/- 0.02912, N = 15SE +/- 0.00950, N = 9SE +/- 0.03302, N = 15SE +/- 0.00636, N = 9SE +/- 0.00582, N = 9SE +/- 0.00881, N = 9SE +/- 0.00414, N = 9SE +/- 0.00511, N = 9SE +/- 0.00474, N = 9SE +/- 0.00482, N = 9SE +/- 0.00724, N = 9SE +/- 0.00118, N = 9SE +/- 0.00735, N = 92.403802.523632.553352.820153.346333.441183.601303.688333.927374.726085.083286.291356.463988.27184MIN: 2.23MIN: 2.25MIN: 2.41MIN: 2.49MIN: 3.15MIN: 3.03MIN: 3.22MIN: 3.26MIN: 3.81MIN: 4.52MIN: 4.73MIN: 6.07MIN: 6.38MIN: 81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100EPYC 7F32EPYC 7F52EPYC 7542EPYC 7502PEPYC 7402PEPYC 7702EPYC 7302PEPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7272EPYC 7232PEPYC 72820.68331.36662.04992.73323.4165SE +/- 0.001, N = 10SE +/- 0.002, N = 10SE +/- 0.001, N = 9SE +/- 0.003, N = 9SE +/- 0.002, N = 9SE +/- 0.003, N = 9SE +/- 0.002, N = 9SE +/- 0.002, N = 9SE +/- 0.001, N = 9SE +/- 0.003, N = 9SE +/- 0.003, N = 9SE +/- 0.001, N = 9SE +/- 0.002, N = 9SE +/- 0.002, N = 92.4952.5002.8582.8992.9012.9052.9452.9452.9452.9462.9523.0293.0353.0371. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P246810SE +/- 0.00834, N = 9SE +/- 0.00637, N = 9SE +/- 0.00625, N = 9SE +/- 0.00157, N = 9SE +/- 0.00215, N = 9SE +/- 0.00338, N = 9SE +/- 0.00104, N = 9SE +/- 0.00168, N = 9SE +/- 0.00628, N = 9SE +/- 0.00304, N = 9SE +/- 0.00324, N = 9SE +/- 0.00336, N = 9SE +/- 0.00176, N = 9SE +/- 0.00235, N = 91.431241.494461.539151.554941.896241.948451.988092.383063.028973.346633.452904.527585.582606.79445MIN: 1.26MIN: 1.36MIN: 1.37MIN: 1.42MIN: 1.77MIN: 1.82MIN: 1.83MIN: 2.33MIN: 2.92MIN: 3.25MIN: 3.34MIN: 4.47MIN: 5.52MIN: 6.751. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7532EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7302PEPYC 7282EPYC 7272EPYC 7F32EPYC 7232P510152025SE +/- 0.301, N = 15SE +/- 0.257, N = 15SE +/- 0.291, N = 15SE +/- 0.286, N = 15SE +/- 0.252, N = 15SE +/- 0.178, N = 15SE +/- 0.286, N = 15SE +/- 0.089, N = 15SE +/- 0.028, N = 11SE +/- 0.024, N = 10SE +/- 0.026, N = 10SE +/- 0.008, N = 9SE +/- 0.003, N = 9SE +/- 0.002, N = 821.76319.99719.32818.50616.56416.26515.68514.03811.52110.3749.6857.5826.4705.2371. (CXX) g++ options: -O3 -pthread -lm

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7542EPYC 7642EPYC 7662EPYC 7552EPYC 7502PEPYC 7532EPYC 7402PEPYC 7702EPYC 7302PEPYC 7282EPYC 7F52EPYC 7272EPYC 7F32EPYC 7232P100200300400500SE +/- 0.74, N = 11SE +/- 0.61, N = 10SE +/- 0.96, N = 10SE +/- 0.97, N = 10SE +/- 0.76, N = 11SE +/- 1.03, N = 11SE +/- 0.86, N = 11SE +/- 3.60, N = 15SE +/- 0.29, N = 10SE +/- 0.35, N = 10SE +/- 0.36, N = 10SE +/- 0.45, N = 9SE +/- 0.26, N = 8SE +/- 0.15, N = 8459.14458.24448.08445.92437.88426.52413.09409.36316.49295.80263.13239.47167.08144.321. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Parboil

Test: OpenMP CUTCP

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP CUTCPEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7F32EPYC 7272EPYC 7232P0.72611.45222.17832.90443.6305SE +/- 0.001641, N = 13SE +/- 0.002056, N = 13SE +/- 0.001391, N = 13SE +/- 0.001666, N = 13SE +/- 0.005531, N = 12SE +/- 0.006410, N = 12SE +/- 0.006800, N = 12SE +/- 0.003909, N = 12SE +/- 0.007208, N = 11SE +/- 0.005522, N = 11SE +/- 0.010317, N = 11SE +/- 0.019546, N = 10SE +/- 0.006375, N = 9SE +/- 0.016438, N = 90.7622380.7734740.8907260.9026111.1349611.1492821.2568821.5616881.7159441.7835891.8738042.7962772.9651363.2271031. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7F32EPYC 7F52EPYC 7542EPYC 7702EPYC 7502PEPYC 7402PEPYC 7532EPYC 7662EPYC 7552EPYC 7302PEPYC 7232PEPYC 7272EPYC 7282300K600K900K1200K1500KSE +/- 1531.45, N = 12SE +/- 791.31, N = 12SE +/- 372.53, N = 12SE +/- 658.02, N = 11SE +/- 1366.07, N = 11SE +/- 1181.68, N = 11SE +/- 986.25, N = 11SE +/- 1511.23, N = 11SE +/- 587.46, N = 11SE +/- 609.53, N = 11SE +/- 504.67, N = 11SE +/- 863.61, N = 11SE +/- 1355.09, N = 111180682117814010302951015858101434210133209994429978099974619971339693719690669681491. (CC) gcc options: -O3 -march=native

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pEPYC 7662EPYC 7642EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7F52EPYC 7282EPYC 7302PEPYC 7272EPYC 7F32EPYC 7232P30060090012001500SE +/- 3.75, N = 3SE +/- 1.10, N = 3SE +/- 1.60, N = 3SE +/- 3.10, N = 3SE +/- 0.47, N = 3SE +/- 1.87, N = 3SE +/- 1.15, N = 3SE +/- 2.68, N = 3SE +/- 1.44, N = 3SE +/- 0.46, N = 3SE +/- 0.73, N = 3SE +/- 0.90, N = 3SE +/- 0.28, N = 3SE +/- 0.82, N = 31193.661070.091050.991044.25937.44932.75880.57847.40651.36644.23634.51555.11453.36419.19MIN: 500.62 / MAX: 1329.43MIN: 574.58 / MAX: 1186.8MIN: 478.51 / MAX: 1166.67MIN: 554.63 / MAX: 1157.48MIN: 659.51 / MAX: 1052.41MIN: 659.65 / MAX: 1047.61MIN: 567.79 / MAX: 985.57MIN: 566.75 / MAX: 939.62MIN: 480.87 / MAX: 706.63MIN: 503.48 / MAX: 704.1MIN: 482.67 / MAX: 693.38MIN: 463.4 / MAX: 605.59MIN: 400.76 / MAX: 488.59MIN: 370.7 / MAX: 456.841. (CC) gcc options: -pthread

ctx_clock

Context Switch Time

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeEPYC 7702EPYC 7662EPYC 7552EPYC 7532EPYC 7502PEPYC 7402PEPYC 7542EPYC 7F52EPYC 7302PEPYC 7F32EPYC 7282EPYC 7272EPYC 7232P50100150200250120120132144150168174175180185196203217

Stream-Dynamic

- Triad

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream-Dynamic 1.0- TriadEPYC 7532EPYC 72822004006008001000951.09881.01

JPEG XL Decoding

CPU Threads: All

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: AllEPYC 7282EPYC 7542EPYC 7F32EPYC 75320.6751.352.0252.73.3753.002.342.171.65

JPEG XL Decoding

CPU Threads: 1

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: 1EPYC 7282EPYC 7F32EPYC 7542EPYC 75320.16650.3330.49950.6660.83250.740.690.680.47

JPEG XL

Input: JPEG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 8EPYC 7282EPYC 7542EPYC 7F32EPYC 7F52EPYC 75320.12380.24760.37140.49520.6190.550.540.530.370.36

JPEG XL

Input: JPEG - Encode Speed: 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 7EPYC 7282EPYC 7542EPYC 7F32EPYC 7532EPYC 7F520.26550.5310.79651.0621.32751.181.121.040.760.75

JPEG XL

Input: JPEG - Encode Speed: 5

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 5EPYC 7282EPYC 7542EPYC 7F32EPYC 7532EPYC 7F520.2610.5220.7831.0441.3051.161.111.020.740.73

JPEG XL

Input: PNG - Encode Speed: 8

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 8EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F520.00230.00460.00690.00920.01150.010.010.010.010.01

JPEG XL

Input: PNG - Encode Speed: 7

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 7EPYC 7282EPYC 7542EPYC 7F32EPYC 7532EPYC 7F520.04050.0810.12150.1620.20250.180.170.150.120.12

JPEG XL

Input: PNG - Encode Speed: 5

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 5EPYC 7282EPYC 7542EPYC 7F32EPYC 7532EPYC 7F520.26550.5310.79651.0621.32751.181.150.870.840.71

GROMACS

Input: water_GMX50_bare

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021Input: water_GMX50_bareEPYC 7662EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7F32EPYC 7F520.00680.01360.02040.02720.0340.030.020.020.020.020.010.01

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5Mode: CPUEPYC 7662EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7282EPYC 7272EPYC 7F52EPYC 7F3260120180240300272.08244.21212.71202.52193.49168.70135.5094.8284.74

Stream

Type: Triad

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream 2013-01-17Type: TriadEPYC 7402PEPYC 7302PEPYC 7232P60012001800240030002788.512743.302060.05

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7F32EPYC 7302PEPYC 7232PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7272EPYC 7532EPYC 7282EPYC 7552EPYC 7662EPYC 7702EPYC 7F522M4M6M8M10M9577991.038667240.717366263.787131421.006697956.106513520.256485573.106228384.625939960.675919717.785265803.495138262.514682548.38

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7662EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.04730.09460.14190.18920.23650.210.200.200.160.160.150.130.120.110.100.080.070.06

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7662EPYC 7552EPYC 7702EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F321.07782.15563.23344.31125.3894.794.724.554.324.133.373.242.822.502.161.801.601.35

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs Per Watt, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7532EPYC 7662EPYC 77021.5M3M4.5M6M7.5M6962207.106892716.306710210.446400547.896161220.616095028.206028009.875937216.365029503.054710525.854210427.874208867.424189997.27

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32140K280K420K560K700K665647.19630429.66586425.64513107.47473583.96437974.87394905.45390336.76359777.90333068.50282725.36231626.04228242.13

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 12Total TimeEPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32120K240K360K480K600K560733.59552076.25491891.78419124.02391203.16369416.83325661.01311552.67271259.26246303.77205655.17179617.03162559.29

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7F32EPYC 7232PEPYC 7272EPYC 7282EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7F52EPYC 7552EPYC 7532EPYC 7702EPYC 76627K14K21K28K35K31397.3930915.0130478.5729161.1128093.4327950.9227717.3226682.9423615.1223213.2220016.6719805.3019457.25

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterCrafty 25.2Elapsed TimeEPYC 7272EPYC 7232PEPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7662EPYC 7702EPYC 753230K60K90K120K150K159454.66158031.23156016.10150336.84144587.96142769.17139718.79139072.47116329.09114628.80100655.9399938.4797701.58

Sysbench

Test: Memory

OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 2018-07-28Test: MemoryEPYC 7282EPYC 7272EPYC 7232PEPYC 7542EPYC 7502PEPYC 7402PEPYC 7F32EPYC 7302PEPYC 7552EPYC 7662EPYC 7702EPYC 7532EPYC 7F5230K60K90K120K150K162496.00160055.91141909.12105418.49103730.0593633.6584636.7683787.8180342.2266221.0162605.7057649.4037471.23

Sysbench

Test: CPU

OpenBenchmarking.orgEvents Per Second Per Watt, More Is BetterSysbench 2018-07-28Test: CPUEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F322004006008001000783.68754.73733.57667.05638.23539.88521.63474.66432.15391.60313.31297.08261.75

Swet

Average

OpenBenchmarking.orgOperations Per Second Per Watt, More Is BetterSwet 1.5.16AverageEPYC 7272EPYC 7232PEPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7662EPYC 7702EPYC 75323M6M9M12M15M14898341.7914546659.1514256393.9213794532.2413255560.1213079157.0812873172.8712821906.8011032151.7410268451.789228207.399098672.569008595.44

QuantLib

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.21EPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7662EPYC 7532EPYC 7702102030405046.0145.4244.4742.4741.0440.4440.2739.6833.7531.9928.4928.3228.04

Etcpak

Configuration: DXT1

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: DXT1EPYC 7232PEPYC 7272EPYC 7F32EPYC 7282EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7532EPYC 7702EPYC 766261218243027.4527.1026.6426.3924.7524.4524.2823.7520.4919.8217.3617.0717.06

Etcpak

Configuration: ETC2

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC2EPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7532EPYC 7662EPYC 77020.73581.47162.20742.94323.6793.273.243.163.072.912.872.862.792.392.292.022.002.00

Etcpak

Configuration: ETC1 + Dithering

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC1 + DitheringEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7532EPYC 7662EPYC 77021.20382.40763.61144.81526.0195.355.285.145.054.784.704.654.573.923.743.323.283.28

Etcpak

Configuration: ETC1

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC1EPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7532EPYC 7702EPYC 76621.27132.54263.81395.08526.35655.655.605.445.295.044.954.944.814.143.893.483.483.46

Google SynthMark

Test: VoiceMark_100

OpenBenchmarking.orgVoices Per Watt, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7532EPYC 7702EPYC 76624812162015.4715.3314.8414.5913.8313.6113.5113.1111.2510.899.499.499.48

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7272EPYC 7232PEPYC 7282EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7F32EPYC 7552EPYC 7532EPYC 7662EPYC 7F52EPYC 77020.13950.2790.41850.5580.69750.620.620.610.550.550.550.550.530.470.410.410.400.40

MBW

Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiB

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiBEPYC 7232PEPYC 7272EPYC 7282EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7F32EPYC 7552EPYC 7662EPYC 7532EPYC 7702EPYC 7F524080120160200185.90183.37179.48160.00159.14158.03154.41149.02134.77117.41112.76111.88108.64

MBW

Test: Memory Copy - Array Size: 8192 MiB

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 8192 MiBEPYC 7232PEPYC 7272EPYC 7282EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7F32EPYC 7552EPYC 7662EPYC 7532EPYC 7702EPYC 7F5270140210280350315.08311.47306.50272.57269.18268.62266.51248.71230.35201.36194.18192.02182.44

Tinymembench

Standard Memset

OpenBenchmarking.orgMB/s Per Watt, More Is BetterTinymembench 2018-05-28Standard MemsetEPYC 7272EPYC 7282EPYC 7232PEPYC 7542EPYC 7502PEPYC 7F32EPYC 7402PEPYC 7302PEPYC 7552EPYC 7702EPYC 7662EPYC 7F52EPYC 753270140210280350334.79333.88332.00303.95289.31286.11284.81279.72268.71236.78215.62209.76202.28

Stream

Type: Triad

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: TriadEPYC 7532EPYC 7662EPYC 7702EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7F52EPYC 7232PEPYC 7272EPYC 728220K40K60K80K100KSE +/- 16.47, N = 5SE +/- 21.10, N = 5SE +/- 26.33, N = 5SE +/- 11.91, N = 5SE +/- 59.32, N = 5SE +/- 5.88, N = 5SE +/- 7.48, N = 5SE +/- 19.43, N = 5SE +/- 36.22, N = 5SE +/- 194.23, N = 5SE +/- 65.26, N = 5SE +/- 2.27, N = 5SE +/- 8.84, N = 599248.298343.298034.896497.189567.288105.787308.487239.887057.072315.656788.656066.655596.31. (CC) gcc options: -O3 -march=native -fopenmp

Stream

Type: Add

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream 2013-01-17Type: AddEPYC 7702EPYC 7F5250010001500200025002144.891709.94

Stream

Type: Add

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: AddEPYC 7532EPYC 7702EPYC 7662EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7232PEPYC 7272EPYC 728220K40K60K80K100KSE +/- 7.96, N = 5SE +/- 25.81, N = 5SE +/- 29.12, N = 5SE +/- 16.17, N = 5SE +/- 18.23, N = 5SE +/- 17.97, N = 5SE +/- 9.19, N = 5SE +/- 16.89, N = 5SE +/- 13.36, N = 5SE +/- 39.00, N = 5SE +/- 61.95, N = 5SE +/- 9.00, N = 5SE +/- 6.11, N = 597912.597206.397180.995807.089255.487568.886805.686737.786677.272752.256795.155911.655437.21. (CC) gcc options: -O3 -march=native -fopenmp

Stream

Type: Scale

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: ScaleEPYC 7532EPYC 7662EPYC 7702EPYC 7552EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7F52EPYC 7232PEPYC 7272EPYC 728220K40K60K80K100KSE +/- 18.59, N = 5SE +/- 21.55, N = 5SE +/- 27.01, N = 5SE +/- 32.31, N = 5SE +/- 30.51, N = 5SE +/- 10.74, N = 5SE +/- 7.47, N = 5SE +/- 12.22, N = 5SE +/- 14.00, N = 5SE +/- 31.64, N = 5SE +/- 61.32, N = 5SE +/- 4.61, N = 5SE +/- 3.08, N = 589487.687848.187714.686805.681753.079703.579147.378638.678399.967011.952630.151978.251044.21. (CC) gcc options: -O3 -march=native -fopenmp

Stream

Type: Copy

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream 2013-01-17Type: CopyEPYC 7302PEPYC 7F32EPYC 7402PEPYC 7542EPYC 7232PEPYC 7502PEPYC 7552EPYC 7272EPYC 7532EPYC 7282EPYC 7662EPYC 7702EPYC 7F5220040060080010001003.43973.24902.05873.56854.90844.44790.62785.09762.36734.63678.70648.19560.85

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7542EPYC 7502PEPYC 7552EPYC 7232PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7662EPYC 7272EPYC 7702EPYC 7F52EPYC 7F320.15530.31060.46590.62120.77650.690.660.630.630.620.580.550.540.530.500.500.470.38

Stress-NG

Test: Context Switching

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3230K60K90K120K150K120719.38117242.06107976.9393564.1186092.8280883.7070344.0768963.8663978.3158318.2250370.9341954.8240925.63

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7662EPYC 7502PEPYC 7552EPYC 7702EPYC 7542EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F52306090120150115.18114.89110.23109.94104.7898.2093.4092.0479.4175.3667.5351.3342.43

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3220040060080010001022.61987.36911.37791.90751.29717.75638.73617.90545.34484.49412.61348.06324.00

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3250010001500200025002387.462315.412071.711741.291705.781476.941407.241400.361278.651163.29961.66850.73783.29

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32163248648070.1168.0861.8852.9149.4945.6040.8140.3937.0633.8628.5224.3823.03

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32306090120150125.49119.94108.9296.7294.2282.6979.2875.0868.6161.9548.7447.4441.61

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F323K6K9K12K15K11942.5511585.5110306.408528.238324.837324.676564.906395.915810.655295.214345.653863.563489.81

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7232PEPYC 7272EPYC 7282EPYC 7542EPYC 7402PEPYC 7302PEPYC 7502PEPYC 7F32EPYC 7552EPYC 7662EPYC 7532EPYC 7702EPYC 7F5250100150200250234.32231.30228.69201.45201.08197.87197.68183.94166.46144.64142.36139.63134.54

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7232PEPYC 7272EPYC 7282EPYC 7402PEPYC 7542EPYC 7502PEPYC 7302PEPYC 7F32EPYC 7552EPYC 7662EPYC 7532EPYC 7702EPYC 7F5250100150200250233.97232.15227.31199.84199.63198.84198.83188.33166.50143.59141.26139.07134.23

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedEPYC 7232PEPYC 7272EPYC 7282EPYC 7402PEPYC 7542EPYC 7302PEPYC 7502PEPYC 7F32EPYC 7552EPYC 7662EPYC 7532EPYC 7702EPYC 7F5250100150200250237.48234.75227.91202.51202.37201.84200.00189.50172.19147.64146.91142.24139.96

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F324008001200160020001860.211772.211667.351397.091318.891207.721091.491034.12969.68872.02710.08654.08601.78

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7542EPYC 7502PEPYC 7662EPYC 7552EPYC 7702EPYC 7642EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.32180.64360.96541.28721.6091.431.381.381.331.311.241.201.171.011.000.890.690.660.63

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7402PEPYC 7302PEPYC 7282EPYC 7272EPYC 7542EPYC 7502PEPYC 7552EPYC 7642EPYC 7232PEPYC 7532EPYC 7662EPYC 7F32EPYC 7702EPYC 7F52306090120150124.95124.18123.70122.04121.69121.39108.55102.10101.96100.7098.1696.7094.0586.38

C-Blosc

Compressor: blosclz

OpenBenchmarking.orgMB/s Per Watt, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7232PEPYC 7272EPYC 7F32EPYC 7282EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 77024080120160200182.90173.90165.32165.18160.12145.89138.76135.67109.47106.55104.3793.8883.2177.37

Crypto++

Test: Integer + Elliptic Curve Public Key Algorithms

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7662EPYC 7702EPYC 75322040608010094.0793.3691.5987.2483.9482.6981.9081.2068.5064.1461.0858.1257.6357.18

Crypto++

Test: Keyed Algorithms

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7662EPYC 7532EPYC 7702369121512.3912.2812.0311.4411.0110.8410.7810.639.008.437.987.587.577.54

Crypto++

Test: Unkeyed Algorithms

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7662EPYC 7702EPYC 75322468107.097.016.836.506.266.186.135.985.144.764.524.314.294.26

Botan

Test: Twofish

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: TwofishEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7662EPYC 77022468107.377.307.116.826.606.506.426.285.415.104.774.574.534.50

Botan

Test: KASUMI

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: KASUMIEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7662EPYC 77020.43650.8731.30951.7462.18251.941.921.861.821.731.701.691.661.401.331.251.181.181.18

Botan

Test: CAST-256

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7702EPYC 76620.6751.352.0252.73.3753.002.982.882.832.672.652.612.562.162.091.931.831.831.82

Botan

Test: Blowfish

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: BlowfishEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7662EPYC 770236912158.968.888.628.258.017.927.857.706.506.215.835.525.515.49

Botan

Test: AES-256

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: AES-256EPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7662EPYC 770220406080100109.56108.21105.14101.5097.5796.3695.1294.0879.8676.1170.2867.5767.1766.83

BlogBench

Test: Write

OpenBenchmarking.orgFinal Score Per Watt, More Is BetterBlogBench 1.1Test: WriteEPYC 7302PEPYC 770220040060080010001143.48984.94

BlogBench

Test: Write

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: WriteEPYC 7662EPYC 7702EPYC 7502PEPYC 7542EPYC 7402PEPYC 7552EPYC 7532EPYC 7642EPYC 7302PEPYC 7F52EPYC 7282EPYC 7272EPYC 7F32EPYC 7232P10K20K30K40K50KSE +/- 249.84, N = 3SE +/- 312.03, N = 3SE +/- 1515.78, N = 3SE +/- 1923.72, N = 3SE +/- 1363.32, N = 3SE +/- 2893.83, N = 3SE +/- 1222.34, N = 3SE +/- 2455.63, N = 3SE +/- 448.51, N = 3SE +/- 379.22, N = 3SE +/- 361.51, N = 3SE +/- 66.78, N = 3SE +/- 648.32, N = 3SE +/- 510.12, N = 345477444344373343408424914158639412393193702636834336272866327443219161. (CC) gcc options: -O2 -pthread

BlogBench

Test: Read

OpenBenchmarking.orgFinal Score Per Watt, More Is BetterBlogBench 1.1Test: ReadEPYC 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F32EPYC 7552EPYC 7532EPYC 7F52EPYC 7642EPYC 7662EPYC 77026K12K18K24K30K29655.3828304.9827647.8422851.8121034.0720274.6220067.1419861.2115592.3614192.8612966.2912835.0310885.3710196.91

ebizzy

OpenBenchmarking.orgRecords/s Per Watt, More Is Betterebizzy 0.3EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F324K8K12K16K20K16672.7616026.5715813.4715696.6314373.6313548.3913352.1112779.0611127.2710725.429696.427399.847194.425966.03

Facebook RocksDB

Test: Read While Writing

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F329K18K27K36K45K44350.1043072.9740538.4437151.1636657.2232038.2031284.4129403.1128233.6924738.5023416.2918803.6914841.4414725.01

Facebook RocksDB

Test: Random Read

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32200K400K600K800K1000K1165531.871144599.801055932.79966385.49931173.20861998.88820332.86752967.14744401.17623360.93561814.90482400.32405107.75383902.17

Facebook RocksDB

Test: Random Fill Sync

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7542EPYC 7502PEPYC 7552EPYC 7282EPYC 7402PEPYC 7702EPYC 7642EPYC 7272EPYC 7302PEPYC 7532EPYC 7662EPYC 7232PEPYC 7F52EPYC 7F3270014002100280035003314.423252.083130.893041.803035.682752.632741.842715.042693.492535.972353.302127.711704.391654.28

Facebook RocksDB

Test: Random Fill

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random FillEPYC 7232PEPYC 7282EPYC 7272EPYC 7302PEPYC 7F32EPYC 7502PEPYC 7402PEPYC 7542EPYC 7532EPYC 7F52EPYC 7552EPYC 7642EPYC 7702EPYC 76622K4K6K8K10K8529.548078.178044.806716.576147.225906.765637.775587.324922.993901.693855.323303.483013.232783.45

Facebook RocksDB

Test: Sequential Fill

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillEPYC 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7F32EPYC 7502PEPYC 7402PEPYC 7542EPYC 7532EPYC 7F52EPYC 7552EPYC 7642EPYC 7702EPYC 76622K4K6K8K10K10036.159067.038813.617541.246995.006049.545925.995622.624999.984243.873850.073278.222844.472634.77

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.010.010.010.010.01

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: KostyaEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.010.010.010.010.01

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomEPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7642EPYC 7532EPYC 7662EPYC 77020.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.01

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.00230.00460.00690.00920.01150.010.010.010.010.010.010.010.010.010.010.010.010.010.01

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7402PEPYC 7542EPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7662EPYC 77023K6K9K12K15K12522.0012418.0212087.8111604.8311170.8811143.9910842.6110676.059050.748583.598074.567829.147697.437643.25

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: SADDEPYC 7232PEPYC 7272EPYC 7282EPYC 7402PEPYC 7F32EPYC 7542EPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7702EPYC 7662EPYC 75328K16K24K32K40K39084.3937338.2336856.9736325.6035697.6434766.3734715.9134516.5929367.1027216.4825475.9725016.2824141.0523687.13

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7272EPYC 7232PEPYC 7282EPYC 7F32EPYC 7402PEPYC 7542EPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7532EPYC 7642EPYC 7662EPYC 77026K12K18K24K30K29596.0228993.7727079.3726954.8926554.2426166.3325519.7625453.5721454.6720551.4018680.4918554.9118391.0918361.54

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: GETEPYC 7232PEPYC 7272EPYC 7282EPYC 7402PEPYC 7542EPYC 7F32EPYC 7302PEPYC 7502PEPYC 7552EPYC 7F52EPYC 7702EPYC 7532EPYC 7642EPYC 76629K18K27K36K45K42939.7540587.4939449.1439042.9338176.8237914.8436649.4435995.9331741.9929783.1427989.2027229.6927083.6525840.00

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second Per Watt, More Is BetterRedis 6.0.9Test: SETEPYC 7272EPYC 7232PEPYC 7282EPYC 7F32EPYC 7402PEPYC 7542EPYC 7302PEPYC 7502PEPYC 7552EPYC 7F52EPYC 7702EPYC 7642EPYC 7662EPYC 75327K14K21K28K35K33520.2633238.2031275.5530367.3729418.4429411.0729192.7829043.8524980.5323705.7922530.9821774.4521301.3721182.66

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec Per Watt, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7502PEPYC 7402PEPYC 7542EPYC 7F32EPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7F52EPYC 77024K8K12K16K20K19958.0519817.6719723.3718467.7517835.7117743.6417199.2516288.2415448.0913818.7113662.8613661.3913202.4312919.70

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec Per Watt, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7272EPYC 7282EPYC 7232PEPYC 7302PEPYC 7502PEPYC 7402PEPYC 7542EPYC 7F32EPYC 7552EPYC 7532EPYC 7642EPYC 7662EPYC 7702EPYC 7F524K8K12K16K20K19247.1019191.0419005.4317671.8517421.8517298.6916668.2115038.7814523.7312972.7512867.2912804.7012097.1611716.29

KeyDB

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterKeyDB 6.0.16EPYC 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7542EPYC 7402PEPYC 7502PEPYC 7F32EPYC 7552EPYC 7532EPYC 7642EPYC 7F52EPYC 7662EPYC 7702160032004800640080007415.887232.187158.886206.076102.855903.165856.345640.604838.074517.764228.114143.954095.783833.65

Apache Cassandra

Test: Writes

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7542EPYC 7502PEPYC 7552EPYC 7402PEPYC 7282EPYC 7702EPYC 7662EPYC 7642EPYC 7532EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F324008001200160020002007.981934.281765.841745.181607.351563.401537.851507.251502.631456.941222.04945.02837.71654.20

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric Per Watt, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3270014002100280035003432.533376.223002.442741.492544.942326.852248.891999.851994.011704.371489.501298.73996.10968.19

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.5.2EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F322004006008001000819.37798.57725.65669.52628.13584.98551.30481.81473.01426.14387.56334.92275.97262.96

libjpeg-turbo tjbench

Test: Decompression Throughput

OpenBenchmarking.orgMegapixels/sec Per Watt, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7662EPYC 77021.01482.02963.04444.05925.0744.514.454.304.254.033.963.953.873.313.162.882.852.802.78

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7282EPYC 7542EPYC 7502PEPYC 7552EPYC 7402PEPYC 7662EPYC 7272EPYC 7302PEPYC 7642EPYC 7532EPYC 7702EPYC 7232PEPYC 7F52EPYC 7F320.05180.10360.15540.20720.2590.230.230.220.210.210.200.200.200.180.180.180.140.120.11

x264

H.264 Video Encoding

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7542EPYC 7502PEPYC 7552EPYC 7662EPYC 7282EPYC 7402PEPYC 7642EPYC 7702EPYC 7302PEPYC 7532EPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.53551.0711.60652.1422.67752.382.322.302.222.162.122.082.062.011.931.741.471.311.14

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7542EPYC 7502PEPYC 7402PEPYC 7552EPYC 7642EPYC 7662EPYC 7532EPYC 7282EPYC 7702EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F322468107.387.276.596.576.145.975.705.475.285.074.252.762.722.34

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7542EPYC 7502PEPYC 7402PEPYC 7552EPYC 7642EPYC 7662EPYC 7532EPYC 7282EPYC 7702EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F321.15652.3133.46954.6265.78255.145.004.594.484.114.044.003.893.673.553.022.191.901.67

SVT-AV1

Encoder Mode: Enc Mode 4 - Input: 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7642EPYC 7542EPYC 7502PEPYC 7662EPYC 7552EPYC 7702EPYC 7532EPYC 7282EPYC 7302PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F520.01350.0270.04050.0540.06750.060.060.060.060.060.060.050.050.050.050.040.040.030.03

SVT-AV1

Encoder Mode: Enc Mode 8 - Input: 1080p

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7502PEPYC 7642EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.20030.40060.60090.80121.00150.890.830.690.680.680.620.610.560.490.440.410.330.320.28

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 5EPYC 7F32EPYC 7282EPYC 7542EPYC 7502PEPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7642EPYC 7532EPYC 7F52EPYC 7662EPYC 77020.00450.0090.01350.0180.02250.020.020.020.020.020.020.020.020.020.010.010.010.010.01

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 6EPYC 7282EPYC 7272EPYC 7232PEPYC 7642EPYC 7532EPYC 7F32EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7552EPYC 7302PEPYC 7402PEPYC 77020.00680.01360.02040.02720.0340.030.030.030.020.020.020.020.020.020.020.020.020.020.02

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterrav1e 0.4Speed: 10EPYC 7F32EPYC 7282EPYC 7542EPYC 7272EPYC 7232PEPYC 7402PEPYC 7502PEPYC 7552EPYC 7302PEPYC 7642EPYC 7532EPYC 7F52EPYC 7662EPYC 77020.01350.0270.04050.0540.06750.060.060.060.060.060.060.050.050.050.040.040.040.040.04

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 FastEPYC 7542EPYC 7502PEPYC 7282EPYC 7552EPYC 7662EPYC 7702EPYC 7642EPYC 7532EPYC 7302PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.10580.21160.31740.42320.5290.470.470.450.430.420.410.400.400.400.400.350.310.260.24

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 FastEPYC 7662EPYC 7502PEPYC 7552EPYC 7542EPYC 7702EPYC 7642EPYC 7282EPYC 7532EPYC 7302PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F520.06080.12160.18240.24320.3040.270.260.260.250.250.240.240.230.210.210.190.170.130.13

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7502PEPYC 7662EPYC 7552EPYC 7642EPYC 7532EPYC 7282EPYC 7542EPYC 7702EPYC 7302PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F520.02250.0450.06750.090.11250.100.100.100.090.090.090.090.090.080.080.070.060.050.05

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitEPYC 7552EPYC 7542EPYC 7502PEPYC 7662EPYC 7642EPYC 7282EPYC 7402PEPYC 7702EPYC 7272EPYC 7302PEPYC 7232PEPYC 7532EPYC 7F32EPYC 7F520.58281.16561.74842.33122.9142.592.582.532.372.342.292.262.222.152.001.951.841.621.47

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pEPYC 7542EPYC 7502PEPYC 7552EPYC 7642EPYC 7662EPYC 7282EPYC 7402PEPYC 7272EPYC 7702EPYC 7302PEPYC 7532EPYC 7232PEPYC 7F52EPYC 7F324812162017.3716.8016.6715.5515.2515.0314.9613.0812.6412.6111.8410.248.077.83

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KEPYC 7662EPYC 7542EPYC 7552EPYC 7502PEPYC 7642EPYC 7702EPYC 7402PEPYC 7282EPYC 7532EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F321.1072.2143.3214.4285.5354.924.914.654.624.614.454.143.733.543.323.132.512.062.00

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pEPYC 7542EPYC 7502PEPYC 7662EPYC 7552EPYC 7642EPYC 7402PEPYC 7702EPYC 7282EPYC 7272EPYC 7532EPYC 7302PEPYC 7232PEPYC 7F52EPYC 7F324812162016.3615.8015.5415.4214.7014.3713.0812.8811.3511.3010.938.747.407.06

AOM AV1

Encoder Mode: Speed 4 Two-Pass

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7F32EPYC 7282EPYC 7542EPYC 7502PEPYC 7272EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7642EPYC 7532EPYC 7F52EPYC 7662EPYC 7552EPYC 77020.0090.0180.0270.0360.0450.040.040.040.040.040.040.040.040.030.030.030.030.030.03

AOM AV1

Encoder Mode: Speed 6 Two-Pass

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassEPYC 7282EPYC 7272EPYC 7232PEPYC 7F32EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7642EPYC 7532EPYC 7F52EPYC 7662EPYC 7552EPYC 77020.01580.03160.04740.06320.0790.070.070.070.060.060.060.060.060.050.050.050.050.050.04

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC 7282EPYC 7272EPYC 7232PEPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7F32EPYC 7552EPYC 7642EPYC 7532EPYC 7662EPYC 7702EPYC 7F520.0720.1440.2160.2880.360.320.310.310.300.300.290.290.260.260.230.230.230.220.21

AOM AV1

Encoder Mode: Speed 8 Realtime

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7272EPYC 7232PEPYC 7282EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7F32EPYC 7552EPYC 7532EPYC 7642EPYC 7662EPYC 7F52EPYC 77020.15080.30160.45240.60320.7540.670.670.660.600.590.590.590.580.510.450.440.440.420.42

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32100200300400500439.24420.61379.39337.12317.83316.71273.00260.68255.06235.34213.21177.43156.27144.00

John The Ripper

Test: MD5

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F325K10K15K20K25K22927.6322232.8820367.1218839.0317709.0416435.4915619.6513762.6813466.2311851.0210769.059459.277625.617334.16

Cpuminer-Opt

Algorithm: Skeincoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F322K4K6K8K10K8559.508011.787328.526520.945932.595770.734208.203879.073270.932891.082410.512197.631483.871374.22

Cpuminer-Opt

Algorithm: Deepcoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinEPYC 7662EPYC 7702EPYC 7552EPYC 7502PEPYC 7542EPYC 7642EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F32120240360480600565.67562.57474.77441.39438.65432.56318.51286.60255.88224.80201.02175.98140.99128.88

Cpuminer-Opt

Algorithm: Garlicoin

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinEPYC 7662EPYC 7702EPYC 7552EPYC 7542EPYC 7642EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F3220406080100105.24101.8597.5789.0688.0386.4863.1762.9152.4645.5841.6633.5531.4027.22

Cpuminer-Opt

Algorithm: x25x

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3236912159.959.948.887.807.537.257.075.884.954.463.883.242.992.72

PlaidML

FP16: No - Mode: Inference - Network: VGG19 - Device: CPU

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7662EPYC 7502PEPYC 7552EPYC 7542EPYC 7702EPYC 7642EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.0540.1080.1620.2160.270.240.220.220.210.210.200.190.190.180.160.150.110.110.09

PlaidML

FP16: No - Mode: Inference - Network: VGG16 - Device: CPU

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7502PEPYC 7662EPYC 7542EPYC 7552EPYC 7702EPYC 7642EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.0630.1260.1890.2520.3150.280.280.270.270.260.250.230.230.230.200.190.140.130.11

PlaidML

FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPU

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUEPYC 7282EPYC 7272EPYC 7542EPYC 7232PEPYC 7F32EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7552EPYC 7642EPYC 7532EPYC 7F52EPYC 7662EPYC 77020.02480.04960.07440.09920.1240.110.110.100.100.090.090.090.090.080.070.070.070.070.06

ONNX Runtime

Model: bertsquad-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUEPYC 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7402PEPYC 7F32EPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7F52EPYC 7662EPYC 77021.1792.3583.5374.7165.8955.244.794.714.504.254.104.083.863.273.222.842.502.502.39

ONNX Runtime

Model: super-resolution-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUEPYC 7232PEPYC 7282EPYC 7272EPYC 7302PEPYC 7542EPYC 7402PEPYC 7502PEPYC 7F32EPYC 7552EPYC 7532EPYC 7F52EPYC 7642EPYC 7702EPYC 7662112233445547.9145.8644.6143.6740.8939.9038.4136.0233.3532.7828.6828.3625.7325.67

ONNX Runtime

Model: shufflenet-v2-10 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 77024080120160200172.02154.91142.11135.13129.62108.45101.8996.9282.0974.7268.5559.4250.6746.15

ONNX Runtime

Model: fcn-resnet101-11 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUEPYC 7282EPYC 7272EPYC 7232PEPYC 7552EPYC 7302PEPYC 7402PEPYC 7542EPYC 7642EPYC 7502PEPYC 7702EPYC 7532EPYC 7662EPYC 7F32EPYC 7F520.18450.3690.55350.7380.92250.820.760.680.670.660.610.600.580.580.570.550.550.460.39

ONNX Runtime

Model: yolov4 - Device: OpenMP CPU

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUEPYC 7232PEPYC 7282EPYC 7272EPYC 7302PEPYC 7402PEPYC 7542EPYC 7F32EPYC 7502PEPYC 7552EPYC 7532EPYC 7642EPYC 7F52EPYC 7662EPYC 77020.76951.5392.30853.0783.84753.423.283.262.952.602.572.552.492.011.981.751.711.581.55

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7532EPYC 7502PEPYC 7282EPYC 7302PEPYC 7402PEPYC 7542EPYC 7272EPYC 7F32EPYC 7232PEPYC 7F524812162015.0614.7513.4112.5511.2611.0911.0610.9710.5610.3010.058.988.618.39

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7502PEPYC 7532EPYC 7302PEPYC 7402PEPYC 7282EPYC 7542EPYC 7272EPYC 7232PEPYC 7F32EPYC 7F524812162014.9514.5812.8612.8211.3711.3311.2911.2611.0910.8310.339.448.988.60

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore Per Watt, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7282EPYC 7502PEPYC 7542EPYC 7272EPYC 7402PEPYC 7302PEPYC 7552EPYC 7232PEPYC 7642EPYC 7532EPYC 7662EPYC 7702EPYC 7F32EPYC 7F5281624324035.4533.5633.4932.9032.5332.2331.2029.2127.6827.6227.2726.2821.3217.20

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 7272EPYC 7282EPYC 7232PEPYC 7542EPYC 7F32EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7662EPYC 77022468106.826.726.256.056.035.985.965.854.974.564.464.234.224.18

NAS Parallel Benchmarks

Test / Class: CG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7302PEPYC 7542EPYC 7532EPYC 7232PEPYC 7502PEPYC 7F32EPYC 7282EPYC 7662EPYC 7702EPYC 7F524080120160200159.36137.33137.30136.77129.34120.79119.50107.24103.8756.39

NAS Parallel Benchmarks

Test / Class: MG.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7302PEPYC 7F32EPYC 7542EPYC 7502PEPYC 7232PEPYC 7532EPYC 7662EPYC 7702EPYC 7282EPYC 7F52140280420560700660.02592.89555.62538.87525.61520.26490.40476.11463.71197.31

NAS Parallel Benchmarks

Test / Class: IS.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7302PEPYC 7282EPYC 7232PEPYC 7542EPYC 7502PEPYC 7F32EPYC 7532EPYC 7662EPYC 7702EPYC 7F5251015202519.5519.3918.4818.1517.7315.3615.3213.4912.907.29

NAS Parallel Benchmarks

Test / Class: SP.B

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7662EPYC 7702EPYC 7302PEPYC 7282EPYC 7F52150300450600750688.19673.65432.53317.97310.75

NAS Parallel Benchmarks

Test / Class: LU.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7662EPYC 7552EPYC 7542EPYC 7702EPYC 7502PEPYC 7402PEPYC 7642EPYC 7302PEPYC 7282EPYC 7532EPYC 7272EPYC 7232PEPYC 7F32EPYC 7F52140280420560700660.15655.10638.72629.05616.99607.37602.66593.84573.26572.31529.25486.72419.08297.36

NAS Parallel Benchmarks

Test / Class: FT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7502PEPYC 7542EPYC 7662EPYC 7702EPYC 7302PEPYC 7532EPYC 7282EPYC 7232PEPYC 7F32EPYC 7F52100200300400500440.80436.08419.28399.60398.01395.37373.22297.55260.77153.51

NAS Parallel Benchmarks

Test / Class: EP.D

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3261218243024.1823.4920.6418.0517.2016.6314.3214.0113.4712.2411.079.248.307.56

NAS Parallel Benchmarks

Test / Class: EP.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F32102030405042.5841.1136.2832.4528.1027.2922.6121.0217.4616.0613.7711.8110.529.02

NAS Parallel Benchmarks

Test / Class: BT.C

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7662EPYC 7702EPYC 7302PEPYC 7282EPYC 7F52160320480640800759.34722.71549.08513.34297.67

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7662EPYC 7642EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7552EPYC 7302PEPYC 7402PEPYC 7702EPYC 7F32EPYC 7F52EPYC 7272EPYC 7232P0.00680.01360.02040.02720.0340.030.020.020.020.020.020.020.020.020.020.010.010.010.01

miniFE

Problem Size: Small

OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7302PEPYC 7F32EPYC 7402PEPYC 7542EPYC 7532EPYC 7502PEPYC 7552EPYC 7232PEPYC 7662EPYC 7642EPYC 7702EPYC 7272EPYC 7282EPYC 7F524080120160200181.39167.09160.96157.73152.28152.21149.38147.34142.84140.60139.02132.41128.3752.66

LULESH

OpenBenchmarking.orgz/s Per Watt, More Is BetterLULESH 2.0.3EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7282EPYC 7552EPYC 7232PEPYC 7272EPYC 7F32EPYC 7532EPYC 7642EPYC 7662EPYC 7702EPYC 7F52306090120150125.40123.94122.94122.19119.53118.64117.45116.78114.72113.53109.4895.6291.6469.83

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7662EPYC 7552EPYC 7702EPYC 7502PEPYC 7642EPYC 7542EPYC 7532EPYC 7282EPYC 7402PEPYC 7302PEPYC 7272EPYC 7232PEPYC 7F32EPYC 7F520.03150.0630.09450.1260.15750.140.130.130.120.110.110.100.100.100.090.080.070.060.06

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7662EPYC 7542EPYC 7552EPYC 7642EPYC 7502PEPYC 7702EPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.06530.13060.19590.26120.32650.290.260.260.250.250.250.230.220.180.180.150.140.110.10

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.4EPYC 7402PEPYC 7532EPYC 7552EPYC 7642EPYC 7302PEPYC 7542EPYC 7662EPYC 7502PEPYC 7272EPYC 7702EPYC 7282EPYC 7232PEPYC 7F32EPYC 7F52400K800K1200K1600K2000K1932212.231673190.411673028.981663875.881638766.481635500.081604877.741575405.351508621.961423158.291357552.351349588.101163515.81514628.71

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7282EPYC 7232PEPYC 7272EPYC 7542EPYC 7F32EPYC 7502PEPYC 7402PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7662EPYC 77022040608010084.3683.0982.9877.4375.9575.0573.5073.2462.4257.5556.7853.9653.8551.62

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7302PEPYC 7542EPYC 7402PEPYC 7F32EPYC 7502PEPYC 7272EPYC 7232PEPYC 7642EPYC 7532EPYC 7282EPYC 7552EPYC 7662EPYC 7702EPYC 7F520.03150.0630.09450.1260.15750.140.120.120.110.110.110.110.100.100.100.100.090.090.05

FFTW

Build: Float + SSE - Size: 2D FFT Size 4096

OpenBenchmarking.orgMflops Per Watt, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7282EPYC 7272EPYC 7542EPYC 7402PEPYC 7502PEPYC 7232PEPYC 7302PEPYC 7F32EPYC 7552EPYC 7642EPYC 7F52EPYC 7662EPYC 7702EPYC 753290180270360450395.06387.92350.90344.76339.99338.94337.27332.96277.86257.05250.92246.91241.00239.28

FFTW

Build: Float + SSE - Size: 2D FFT Size 2048

OpenBenchmarking.orgMflops Per Watt, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 2048EPYC 7282EPYC 7272EPYC 7F32EPYC 7542EPYC 7402PEPYC 7302PEPYC 7502PEPYC 7232PEPYC 7552EPYC 7642EPYC 7662EPYC 7532EPYC 7F52EPYC 7702130260390520650588.80580.44541.24536.35530.99516.81515.11440.07437.62393.21383.02372.69365.69361.64

FFTW

Build: Float + SSE - Size: 1D FFT Size 4096

OpenBenchmarking.orgMflops Per Watt, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 4096EPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7302PEPYC 7552EPYC 7F52EPYC 7642EPYC 7532EPYC 7702EPYC 766220040060080010001123.761109.611101.311037.751000.27988.44984.98963.62820.23775.34736.70709.62696.81683.14

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7502PEPYC 7402PEPYC 7542EPYC 7662EPYC 7642EPYC 7532EPYC 7552EPYC 7702EPYC 7282EPYC 7272EPYC 7302PEPYC 7232PEPYC 7F32EPYC 7F52300600900120015001457.281403.881396.951389.251309.221272.001263.451260.431200.321139.681116.04839.58805.56604.59

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52EPYC 7552EPYC 7532EPYC 7642EPYC 7662EPYC 7702110220330440550531.57527.48475.56446.35405.87372.78365.15356.46283.96278.09261.72242.20231.24211.71

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7232PEPYC 7272EPYC 7282EPYC 7302PEPYC 7F32EPYC 7542EPYC 7402PEPYC 7502PEPYC 7552EPYC 7642EPYC 7532EPYC 7662EPYC 7702EPYC 7F5251015202519.6919.3618.4816.7916.6816.6116.5316.0313.3712.1311.9411.6110.759.53

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7272EPYC 7232PEPYC 7282EPYC 7F32EPYC 7302PEPYC 7542EPYC 7402PEPYC 7502PEPYC 7552EPYC 7F52EPYC 7532EPYC 7642EPYC 7662EPYC 770251015202518.6718.6718.1216.0316.0115.3215.1815.0412.1211.4311.2510.7810.489.72

ASKAP

Test: Hogbom Clean OpenMP

OpenBenchmarking.orgIterations Per Second Per Watt, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPEPYC 7282EPYC 7542EPYC 7272EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7232PEPYC 7F32EPYC 7552EPYC 7642EPYC 7662EPYC 7532EPYC 7702EPYC 7F522468107.577.497.497.457.397.307.296.055.895.465.455.385.101.59

ASKAP

Test: tConvolve OpenMP - Degridding

OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7402PEPYC 7502PEPYC 7542EPYC 7302PEPYC 7552EPYC 7702EPYC 7642EPYC 7662EPYC 7532EPYC 7282EPYC 7272EPYC 7F32EPYC 7232PEPYC 7F5220406080100109.78108.49108.46103.76100.0596.8693.6392.7889.4472.9172.5370.1958.9717.31

ASKAP

Test: tConvolve MPI - Gridding

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7642EPYC 7532EPYC 7302PEPYC 7402PEPYC 7662EPYC 7552EPYC 7F52EPYC 7702EPYC 7542EPYC 7502PEPYC 7272EPYC 7F32EPYC 7282EPYC 7232P306090120150139.29137.34132.05123.63123.10117.11117.06116.25105.62104.1597.1593.7492.7762.30

ACES DGEMM

Sustained Floating-Point Rate

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7272EPYC 7302PEPYC 7F32EPYC 7F52EPYC 7232P0.02480.04960.07440.09920.1240.110.110.100.080.070.070.060.060.050.050.050.030.030.02

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7662EPYC 7702EPYC 7642EPYC 7502PEPYC 7552EPYC 7532EPYC 7282EPYC 7542EPYC 7302PEPYC 7402PEPYC 7F32EPYC 7F52EPYC 7272EPYC 7232P0.01130.02260.03390.04520.05650.050.050.040.040.040.030.030.030.030.030.020.020.020.02

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7542EPYC 7502PEPYC 7532EPYC 7282EPYC 7402PEPYC 7272EPYC 7302PEPYC 7232PEPYC 7F32EPYC 7F520.02250.0450.06750.090.11250.100.100.090.090.080.080.070.060.060.050.050.040.030.03

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples Per Watt, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3280160240320400364.02353.18328.86306.53275.92257.36243.18235.77233.63202.24185.79152.41127.66124.47

TTSIOD 3D Renderer

Phong Rendering With Soft-Shadow Mapping

OpenBenchmarking.orgFPS Per Watt, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingEPYC 7542EPYC 7502PEPYC 7282EPYC 7552EPYC 7402PEPYC 7532EPYC 7302PEPYC 7272EPYC 7642EPYC 7662EPYC 7232PEPYC 7702EPYC 7F52EPYC 7F3236912159.078.758.158.107.797.177.066.966.806.315.675.544.634.41

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7642EPYC 7662EPYC 7552EPYC 7702EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7402PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7302PEPYC 7F320.0090.0180.0270.0360.0450.040.040.040.040.030.030.030.030.030.020.020.020.020.01

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7662EPYC 7552EPYC 7702EPYC 7642EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7402PEPYC 7272EPYC 7232PEPYC 7302PEPYC 7F32EPYC 7F520.0090.0180.0270.0360.0450.040.040.040.030.030.030.030.030.030.020.020.020.010.01

rays1bench

Large Scene

OpenBenchmarking.orgmrays/s Per Watt, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.53781.07561.61342.15122.6892.392.332.242.041.851.811.541.341.090.970.850.690.680.54

OSPray

Demo: San Miguel - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7662EPYC 7642EPYC 7552EPYC 7702EPYC 7532EPYC 7282EPYC 7542EPYC 7502PEPYC 7302PEPYC 7402PEPYC 7F32EPYC 7F52EPYC 7272EPYC 7232P0.0090.0180.0270.0360.0450.040.030.030.030.020.020.020.020.020.020.010.010.010.01

OSPray

Demo: San Miguel - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7662EPYC 7552EPYC 7702EPYC 7642EPYC 7542EPYC 7502PEPYC 7402PEPYC 7532EPYC 7282EPYC 7302PEPYC 7272EPYC 7F52EPYC 7232PEPYC 7F320.1620.3240.4860.6480.810.720.690.670.620.590.570.440.430.340.310.260.210.190.16

OSPray

Demo: NASA Streamlines - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7282EPYC 7402PEPYC 7272EPYC 7302PEPYC 7232PEPYC 7F32EPYC 7F520.0270.0540.0810.1080.1350.120.110.100.090.080.080.070.060.060.050.050.040.030.03

OSPray

Demo: NASA Streamlines - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7542EPYC 7502PEPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.17550.3510.52650.7020.87750.780.760.710.650.590.570.470.440.380.340.290.220.210.18

OSPray

Demo: XFrog Forest - Renderer: Path Tracer

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7662EPYC 7642EPYC 7502PEPYC 7552EPYC 7702EPYC 7532EPYC 7282EPYC 7542EPYC 7272EPYC 7302PEPYC 7402PEPYC 7F32EPYC 7F52EPYC 7232P0.0090.0180.0270.0360.0450.040.030.030.030.030.020.020.020.020.020.020.010.010.01

OSPray

Demo: XFrog Forest - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7542EPYC 7502PEPYC 7282EPYC 7402PEPYC 7272EPYC 7302PEPYC 7F32EPYC 7F52EPYC 7232P0.01580.03160.04740.06320.0790.070.070.060.060.050.050.050.040.040.030.030.020.020.02

OSPray

Demo: Magnetic Reconnection - Renderer: SciVis

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F320.06980.13960.20940.27920.3490.310.300.280.250.230.220.190.170.160.150.130.110.090.08


Phoronix Test Suite v10.8.4