EPYC 7F52

AMD EPYC 7F32 8-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and ASPEED on Ubuntu 20.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012154-HA-EPYC7F52827
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EPYC 7F32
December 12 2020
  16 Hours, 39 Minutes
AMD EPYC 7F32
December 13 2020
  16 Hours, 12 Minutes
EPYC 7F32 AMD
December 14 2020
  15 Hours, 46 Minutes
EPYC Extra
December 14 2020
  15 Hours, 48 Minutes
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  16 Hours, 6 Minutes

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EPYC 7F52OpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse64GB280GB INTEL SSDPE21D280GAllvmpipeASPEEDVE2282 x Intel 10G X550TUbuntu 20.045.8.0-050800rc6daily20200721-generic (x86_64) 20200720GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.4 (LLVM 9.0.1 128 bits)GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionEPYC 7F52 BenchmarksSystem Logs- --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,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 -v - Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8301034 - OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)- Python 2.7.18rc1 + Python 3.8.2- 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 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC ExtraResult OverviewPhoronix Test Suite100%108%116%123%oneDNNCraftyRedisSockperfGraphicsMagickZstd CompressionNumpy BenchmarkTimed MAFFT AlignmentRawTherapeeSunflow Rendering SystemLibRawStockfishSVT-VP9BYTE Unix BenchmarkPHPBencheSpeak-NG Speech EngineKeyDBBuild2Chaos Group V-RAYApache CouchDBRodiniaSQLite SpeedtestTimed Clash CompilationNCNNLAMMPS Molecular Dynamics SimulatorBRL-CADTimed LLVM CompilationDarktableBlenderrav1easmFishEmbreeStress-NGGPAWMlpack BenchmarkTimed Linux Kernel CompilationMobile Neural NetworkBasis UniversalNAMDAI Benchmark AlphaTimed FFmpeg CompilationFFTEGROMACSLuxCoreRenderx265CoremarkWebP Image EncodeASTC EncoderOCRMyPDFdav1dHuginAOM AV1Timed HMMer SearchOpenVINOPostgreSQL pgbenchSVT-AV1KvazaarTNNDolfynLZ4 CompressionTensorFlow LiteHierarchical INTegrationRNNoiseOpenSSLCaffeMonte Carlo Simulations of Ionised Nebulae

EPYC 7F52lammps: 20k Atomsblender: Barbershop - CPU-Onlybasis: UASTC Level 2 + RDO Post-Processingbuild-llvm: Time To Compileblender: Pabellon Barcelona - CPU-Onlyblender: Classroom - CPU-Onlybuild-clash: Time To Compileai-benchmark: Device AI Scoreai-benchmark: Device Training Scoreai-benchmark: Device Inference Scorecaffe: GoogleNet - CPU - 200brl-cad: VGR Performance Metricnumpy: rodinia: OpenMP LavaMDhint: FLOATmocassin: Dust 2D tau100.0astcenc: Exhaustiveblender: Fishy Cat - CPU-Onlygpaw: Carbon Nanotubesvt-av1: Enc Mode 0 - 1080pasmfish: 1024 Hash Memory, 26 Depthcaffe: GoogleNet - CPU - 100graphics-magick: Rotateblender: BMW27 - CPU-Onlytensorflow-lite: Inception V4dav1d: Chimera 1080p 10-bitcaffe: AlexNet - CPU - 200gromacs: Water Benchmarktensorflow-lite: Inception ResNet V2rodinia: OpenMP Leukocytebyte: Dhrystone 2x265: Bosphorus 4Khmmer: Pfam Database Searchbuild2: Time To Compilekvazaar: Bosphorus 4K - Slownamd: ATPase Simulation - 327,506 Atomskvazaar: Bosphorus 4K - Mediumstress-ng: CPU Cachemnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0couchdb: 100 - 1000 - 24mlpack: scikit_qdarodinia: OpenMP HotSpot3Dstress-ng: System V Message Passingonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUbuild-linux-kernel: Time To Compileonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUtensorflow-lite: NASNet Mobileembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer - Asian Dragon Objcaffe: AlexNet - CPU - 100keydb: sockperf: Latency Ping Pongopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUsqlite-speedtest: Timed Time - Size 1,000v-ray: CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetembree: Pathtracer ISPC - Crowncompress-zstd: 19luxcorerender: DLSCrawtherapee: Total Benchmark Timeluxcorerender: Rainbow Colors and Prismsockperf: Latency Under Loadindigobench: CPU - Supercarindigobench: CPU - Bedroomtensorflow-lite: SqueezeNettensorflow-lite: Mobilenet Quanttensorflow-lite: Mobilenet Floatembree: Pathtracer - Crowngraphics-magick: Sharpenbasis: UASTC Level 3graphics-magick: Enhancedopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUgraphics-magick: Noise-Gaussianopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUgraphics-magick: Swirlgraphics-magick: Resizinggraphics-magick: HWB Color Spacestockfish: Total Timecompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedmlpack: scikit_linearridgeregressioncompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedpgbench: 1 - 250 - Read Write - Average Latencypgbench: 1 - 250 - Read Writeembree: Pathtracer ISPC - Asian Dragonmlpack: scikit_icaembree: Pathtracer - Asian Dragonrav1e: 5build-ffmpeg: Time To Compilerav1e: 1basis: ETC1Shugin: Panorama Photo Assistant + Stitching Timeonednn: IP Shapes 1D - f32 - CPUredis: SADDrav1e: 6espeak: Text-To-Speech Synthesisrodinia: OpenMP Streamclustersunflow: Global Illumination + Image Synthesiskvazaar: Bosphorus 4K - Very Fastonednn: Deconvolution Batch shapes_1d - f32 - CPUwebp: Quality 100, Lossless, Highest Compressionaom-av1: Speed 0 Two-Passpgbench: 100 - 1 - Read Only - Average Latencypgbench: 100 - 1 - Read Onlylibraw: Post-Processing Benchmarkpgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 1 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 50 - Read Onlypgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 50 - Read Writeaom-av1: Speed 6 Realtimebasis: UASTC Level 2redis: SETphpbench: PHP Benchmark Suiteastcenc: Thoroughcompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedstress-ng: CPU Stressstress-ng: NUMAstress-ng: Malloccrafty: Elapsed Timestress-ng: MEMFDstress-ng: Matrix Mathstress-ng: Cryptostress-ng: MMAPstress-ng: SENDFILEstress-ng: Vector Mathstress-ng: Glibc Qsort Data Sortingstress-ng: Memory Copyingstress-ng: Glibc C String Functionsstress-ng: Context Switchingstress-ng: Socket Activitystress-ng: Semaphoresstress-ng: Forkingstress-ng: Atomicaom-av1: Speed 6 Two-Passredis: LPOPcompress-zstd: 3rav1e: 10mlpack: scikit_svmsvt-av1: Enc Mode 4 - 1080pocrmypdf: Processing 60 Page PDF Documentdav1d: Chimera 1080predis: GETpgbench: 1 - 250 - Read Only - Average Latencypgbench: 1 - 250 - Read Onlypgbench: 1 - 100 - Read Write - Average Latencypgbench: 1 - 100 - Read Writepgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 100 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 50 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Onlypgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writekvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumdav1d: Summer Nature 4Kkvazaar: Bosphorus 4K - Ultra Fastcoremark: CoreMark Size 666 - Iterations Per Secondrodinia: OpenMP CFD Solveraom-av1: Speed 4 Two-Passonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUrnnoise: openssl: RSA 4096-bit Performancetnn: CPU - MobileNet v2onednn: Convolution Batch Shapes Auto - f32 - CPUsockperf: Throughputtnn: CPU - SqueezeNet v1.1aom-av1: Speed 8 Realtimewebp: Quality 100, Losslessdolfyn: Computational Fluid Dynamicsonednn: IP Shapes 1D - u8s8f32 - CPUsvt-av1: Enc Mode 8 - 1080px265: Bosphorus 1080ponednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUredis: LPUSHkvazaar: Bosphorus 1080p - Very Fastdav1d: Summer Nature 1080ponednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUmafft: Multiple Sequence Alignment - LSU RNAastcenc: Mediumbasis: UASTC Level 0webp: Quality 100, Highest Compressionsvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080ponednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUdarktable: Masskrug - CPU-onlykvazaar: Bosphorus 1080p - Ultra Fastdarktable: Boat - CPU-onlyastcenc: Fastlammps: Rhodopsin Proteinsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pdarktable: Server Room - CPU-onlyonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUwebp: Quality 100ffte: N=256, 3D Complex FFT Routinewebp: Defaultdarktable: Server Rack - CPU-onlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra6.638684.91655.515580.932511.83459.40443.104240211271275339566125243367.17244.282347140109.16097220213.58208.75203.5780.10824110950169644418158.01287339795.721397081.3332595253130.26440778410.010.14116.32598.6735.552.242005.6629.3539.1156.5684.77834.1099.460103.55236.6793.4687156368.313602.413610.533602.3979.3362011.451987.381968.691795619.693610.162069834432875.894.9802423.081.6466.719140911905.772.102427.711.641910.002.0928.6223.148.6311.9032.6117.492.749.446.577.326.816.8620.0418.399.547845.01.7060.0741.833.7783.8891.7972008431351701325329.987512160.0521940.775053.822490.775041.874708519601881011410823.752.022.2210825.953.62117.701212610.915153.8110.95981.09254.2740.36953.99453.04413.14141535427.171.45630.96317.8921.30515.358.7858036.2850.290.0422394735.411.1472179680.4592179400.318314812.991192534.778209370.2412071662.5891931818.3332.3301339921.9361952626.7211421.19943.343114.04203.43123497348.086633652446.6739367.162281.75118.82148344.1771485.21134.365072.03570298.094261220.915879.291147874.8436505.95508333.113.601877633.456357.63.20823.323.14826.550435.221706373.290.86528925032.253310312.42540250.3532834610.1912626380.036281550.261383023.7624.30153.4526.56342873.00872521.7372.327.7989420.1122293.2273.4385.86061537396264.46433.4117.60617.5623.1357023.95647.931.925613.759191148943.1654.66390.172.029515.644208.9868.757.9577.719120.0999.1211.2126910.005845.33297.655.4276.016.309125.193.3405.665402.48854125.4303739001.6160.1476.639682.40655.674576.929506.43452.22444.506238611181268339861123836369.45243.452347082527.18839220213.41206.98203.7580.10724041474169834536155.35287282396.041397951.3412593953130.71740836665.810.00116.128100.1855.552.236965.6527.6038.1936.5454.74134.2689.501101.98236.6992.2387224246.173508.323511.703538.5879.9541931.821947.921938.011783129.656410.143369911425578.884.9642436.121.6266.776143291914.542.092423.561.641909.952.1028.6723.148.6411.7832.9116.612.739.436.037.306.796.8620.0718.409.584445.41.7060.1831.844.04120084213518513251010.084812160.0621950.775048.832500.775052.4249090610061868069010851.151.212.2210757.454.02125.595199410.864151.9810.84891.09354.5300.36954.01653.2574.330571561373.621.45830.62618.1231.34215.317.2582836.2700.290.0422372136.051.1452185160.4592179140.311321412.996192444.778209410.2412069782.5801938318.3632.3551345153.5962815526.7111462.010035.773123.99206.54123621581.576676257449.1839516.442277.99118.26148607.5471482.35134.115078.15573119.854260848.255964.251141024.8436468.02508219.033.591234877.796359.73.19623.483.15826.438434.731601756.530.86728828432.018312712.49940010.3522838180.1912614470.036281520.261382923.7024.27153.7626.67341103.79950821.8582.317.3672520.1252294.4273.3665.36396536733264.04733.6717.71717.5992.9605823.99148.501.483743.603211163344.7854.51388.221.975095.761468.8858.767.9437.737119.5498.938.170789.976565.30598.265.4236.016.469127.193.3385.689562.48754246.2504692001.6140.1496.626685.52655.822574.243508.70454.27444.998239011251265340191124870362.21243.546347188909.77425220213.52207.45204.6100.10724266254169763610156.39287368096.171398561.3402595253130.30240533065.410.05115.84398.5845.552.235335.6624.0838.3296.5704.74034.2819.459103.02336.8092.5207264968.423427.123426.433427.9179.8531712.101710.451712.411774679.715810.147869827427606.944.5382435.831.6267.625141631909.162.092435.381.631913.242.0928.6223.608.6211.8932.7217.982.729.406.587.276.766.9520.0318.479.676746.51.7161.3401.813.8452009311351761324869.999912260.1721950.775046.912470.775039.064949189601836449610797.452.972.2310788.853.36121.812205410.969952.1810.93581.09254.6090.36854.09153.1194.446961557960.001.45331.15918.4691.32015.314.9587036.2390.290.0432319535.881.1432188570.4612167670.314318313.029191964.770209760.2432056962.5881932018.3432.4241355336.7861616126.7211426.39944.943116.71204.56123864292.947638791447.7039353.752278.50115.76147737.0071489.92134.255081.01575041.494293892.255955.261169255.4136285.40508189.343.591260811.796676.83.19723.103.14426.530435.891657029.290.86828809731.410318512.44540180.3532829710.1902627050.036280440.259386023.6824.27154.6126.74343035.00067521.7002.347.1640320.1002294.3273.4564.95526545997264.27133.8517.46817.5562.7925823.99748.811.161483.571951152592.1254.72391.020.7825256.140968.8718.808.0557.743120.7598.676.428369.530355.33896.935.4646.066.451126.943.3695.576552.49354124.5674222491.6160.1496.614684.87656.001577.887509.88454.65447.693239311251268339476123682358.87244.699346742589.92829220213.73208.65205.2160.10724094956169756577156.60287342096.061395571.3392596733130.54141368242.310.04116.01898.5495.542.250855.6527.0038.4056.5434.69634.1829.440103.50336.6591.9417089085.983429.753437.333437.7680.0121716.851709.401709.621780679.712810.159069898427035.995.1902429.531.6367.636142041912.182.092429.721.631911.682.0928.6623.218.6411.7932.8217.832.739.416.597.286.786.8320.0118.499.669046.31.7061.8121.824.22320095713510713255710.183912160.1351940.775057.122430.785032.674839119041863382510758.052.432.2310819.152.99122.396204510.920053.7411.07321.082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LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.001, N = 36.6386.6396.6266.6141. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 6.63 / Avg: 6.64 / Max: 6.64Min: 6.64 / Avg: 6.64 / Max: 6.64Min: 6.61 / Avg: 6.63 / Max: 6.64Min: 6.61 / Avg: 6.61 / Max: 6.621. (CXX) g++ options: -O3 -pthread -lm

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra150300450600750SE +/- 0.33, N = 3SE +/- 0.90, N = 3SE +/- 0.49, N = 3SE +/- 0.12, N = 3684.91682.40685.52684.87
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra120240360480600Min: 684.29 / Avg: 684.91 / Max: 685.43Min: 681.21 / Avg: 682.4 / Max: 684.16Min: 684.67 / Avg: 685.52 / Max: 686.36Min: 684.64 / Avg: 684.87 / Max: 685.03

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra140280420560700SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3655.52655.67655.82656.001. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra120240360480600Min: 655.33 / Avg: 655.51 / Max: 655.63Min: 655.28 / Avg: 655.67 / Max: 655.97Min: 655.7 / Avg: 655.82 / Max: 655.89Min: 655.86 / Avg: 656 / Max: 656.251. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Timed LLVM Compilation

This test times how long it takes to build the LLVM compiler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra130260390520650SE +/- 2.47, N = 3SE +/- 0.79, N = 3SE +/- 0.48, N = 3SE +/- 1.65, N = 3580.93576.93574.24577.89
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra100200300400500Min: 576.23 / Avg: 580.93 / Max: 584.6Min: 575.94 / Avg: 576.93 / Max: 578.49Min: 573.33 / Avg: 574.24 / Max: 574.94Min: 574.93 / Avg: 577.89 / Max: 580.63

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra110220330440550SE +/- 1.05, N = 3SE +/- 0.04, N = 3SE +/- 0.56, N = 3SE +/- 0.11, N = 3511.83506.43508.70509.88
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra90180270360450Min: 510.63 / Avg: 511.83 / Max: 513.93Min: 506.39 / Avg: 506.43 / Max: 506.51Min: 507.88 / Avg: 508.7 / Max: 509.78Min: 509.72 / Avg: 509.88 / Max: 510.08

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra100200300400500SE +/- 0.34, N = 3SE +/- 0.73, N = 3SE +/- 0.34, N = 3SE +/- 0.41, N = 3459.40452.22454.27454.65
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra80160240320400Min: 458.8 / Avg: 459.4 / Max: 459.97Min: 450.92 / Avg: 452.22 / Max: 453.43Min: 453.89 / Avg: 454.27 / Max: 454.94Min: 453.99 / Avg: 454.65 / Max: 455.41

Timed Clash Compilation

Build the clash-lang Haskell to VHDL/Verilog/SystemVerilog compiler with GHC 8.10.1 Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra100200300400500SE +/- 0.31, N = 3SE +/- 0.19, N = 3SE +/- 0.36, N = 3SE +/- 0.89, N = 3443.10444.51445.00447.69
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra80160240320400Min: 442.63 / Avg: 443.1 / Max: 443.7Min: 444.18 / Avg: 444.51 / Max: 444.85Min: 444.54 / Avg: 445 / Max: 445.72Min: 446.32 / Avg: 447.69 / Max: 449.35

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50010001500200025002402238623902393

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20040060080010001127111811251125

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra300600900120015001275126812651268

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra70K140K210K280K350KSE +/- 201.28, N = 3SE +/- 158.50, N = 3SE +/- 224.38, N = 3SE +/- 129.25, N = 33395663398613401913394761. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra60K120K180K240K300KMin: 339277 / Avg: 339565.67 / Max: 339953Min: 339584 / Avg: 339860.67 / Max: 340133Min: 339744 / Avg: 340191.33 / Max: 340446Min: 339225 / Avg: 339476 / Max: 3396551. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

BRL-CAD

BRL-CAD 7.28.0 is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30K60K90K120K150K1252431238361248701236821. (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

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra80160240320400SE +/- 0.91, N = 3SE +/- 0.69, N = 3SE +/- 1.00, N = 3SE +/- 2.45, N = 3367.17369.45362.21358.87
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra70140210280350Min: 365.49 / Avg: 367.17 / Max: 368.62Min: 368.46 / Avg: 369.45 / Max: 370.79Min: 360.71 / Avg: 362.21 / Max: 364.12Min: 356.1 / Avg: 358.87 / Max: 363.75

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50100150200250SE +/- 0.33, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3244.28243.45243.55244.701. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4080120160200Min: 243.76 / Avg: 244.28 / Max: 244.89Min: 243.34 / Avg: 243.45 / Max: 243.54Min: 243.39 / Avg: 243.55 / Max: 243.7Min: 244.65 / Avg: 244.7 / Max: 244.781. (CXX) g++ options: -O2 -lOpenCL

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra70M140M210M280M350MSE +/- 145251.55, N = 3SE +/- 316385.83, N = 3SE +/- 153022.84, N = 3SE +/- 428639.68, N = 3347140109.16347082527.19347188909.77346742589.931. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra60M120M180M240M300MMin: 346853146.78 / Avg: 347140109.16 / Max: 347322750.02Min: 346498604.35 / Avg: 347082527.19 / Max: 347585617.86Min: 346884791.14 / Avg: 347188909.77 / Max: 347370665.19Min: 345890763.54 / Avg: 346742589.93 / Max: 347252107.971. (CC) gcc options: -O3 -march=native -lm

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50100150200250SE +/- 0.33, N = 32202202202201. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4080120160200Min: 220 / Avg: 220.33 / Max: 2211. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50100150200250SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3213.58213.41213.52213.731. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4080120160200Min: 213.21 / Avg: 213.58 / Max: 213.95Min: 213.32 / Avg: 213.41 / Max: 213.47Min: 213.38 / Avg: 213.52 / Max: 213.64Min: 213.57 / Avg: 213.73 / Max: 213.91. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50100150200250SE +/- 0.01, N = 3SE +/- 0.30, N = 3SE +/- 0.22, N = 3SE +/- 0.39, N = 3208.75206.98207.45208.65
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4080120160200Min: 208.74 / Avg: 208.75 / Max: 208.77Min: 206.48 / Avg: 206.98 / Max: 207.52Min: 207.14 / Avg: 207.45 / Max: 207.88Min: 208.16 / Avg: 208.65 / Max: 209.42

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50100150200250SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.71, N = 3SE +/- 0.75, N = 3203.58203.76204.61205.221. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4080120160200Min: 203.46 / Avg: 203.58 / Max: 203.71Min: 203.7 / Avg: 203.76 / Max: 203.86Min: 203.66 / Avg: 204.61 / Max: 206.01Min: 203.87 / Avg: 205.22 / Max: 206.461. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.02430.04860.07290.09720.1215SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1080.1070.1070.1071. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.11 / Avg: 0.11 / Max: 0.111. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5M10M15M20M25MSE +/- 143423.44, N = 3SE +/- 224512.20, N = 3SE +/- 110486.89, N = 3SE +/- 114711.06, N = 324110950240414742426625424094956
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4M8M12M16M20MMin: 23952200 / Avg: 24110950 / Max: 24397230Min: 23675887 / Avg: 24041474.33 / Max: 24450048Min: 24070445 / Avg: 24266254 / Max: 24452850Min: 23871942 / Avg: 24094956 / Max: 24253094

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra40K80K120K160K200KSE +/- 8.14, N = 3SE +/- 18.55, N = 3SE +/- 47.80, N = 3SE +/- 99.22, N = 31696441698341697631697561. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30K60K90K120K150KMin: 169629 / Avg: 169644 / Max: 169657Min: 169800 / Avg: 169833.67 / Max: 169864Min: 169671 / Avg: 169762.67 / Max: 169832Min: 169607 / Avg: 169756 / Max: 1699441. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra130260390520650SE +/- 17.35, N = 12SE +/- 14.78, N = 15SE +/- 1.15, N = 3SE +/- 2.00, N = 34185366105771. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra110220330440550Min: 350 / Avg: 417.83 / Max: 555Min: 457 / Avg: 536.33 / Max: 621Min: 608 / Avg: 610 / Max: 612Min: 573 / Avg: 577 / Max: 5791. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150SE +/- 0.32, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3158.01155.35156.39156.60
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150Min: 157.64 / Avg: 158.01 / Max: 158.64Min: 155.18 / Avg: 155.35 / Max: 155.52Min: 156.18 / Avg: 156.39 / Max: 156.68Min: 156.38 / Avg: 156.6 / Max: 156.87

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra600K1200K1800K2400K3000KSE +/- 1241.80, N = 3SE +/- 566.28, N = 3SE +/- 841.84, N = 3SE +/- 1341.84, N = 32873397287282328736802873420
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra500K1000K1500K2000K2500KMin: 2871160 / Avg: 2873396.67 / Max: 2875450Min: 2871910 / Avg: 2872823.33 / Max: 2873860Min: 2872040 / Avg: 2873680 / Max: 2874830Min: 2871180 / Avg: 2873420 / Max: 2875820

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100SE +/- 0.24, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 395.7296.0496.1796.06MIN: 63.33 / MAX: 214.96MIN: 63.62 / MAX: 214.93MIN: 63.51 / MAX: 214.79MIN: 63.52 / MAX: 213.61. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 95.4 / Avg: 95.72 / Max: 96.19Min: 95.98 / Avg: 96.04 / Max: 96.13Min: 96.14 / Avg: 96.17 / Max: 96.23Min: 95.92 / Avg: 96.06 / Max: 96.161. (CC) gcc options: -pthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30K60K90K120K150KSE +/- 150.34, N = 3SE +/- 114.16, N = 3SE +/- 179.02, N = 3SE +/- 87.37, N = 31397081397951398561395571. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20K40K60K80K100KMin: 139531 / Avg: 139708 / Max: 140007Min: 139603 / Avg: 139795 / Max: 139998Min: 139591 / Avg: 139856 / Max: 140197Min: 139437 / Avg: 139557 / Max: 1397271. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.30170.60340.90511.20681.5085SE +/- 0.004, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 31.3331.3411.3401.3391. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.33 / Avg: 1.33 / Max: 1.34Min: 1.34 / Avg: 1.34 / Max: 1.34Min: 1.34 / Avg: 1.34 / Max: 1.34Min: 1.34 / Avg: 1.34 / Max: 1.341. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra600K1200K1800K2400K3000KSE +/- 2192.42, N = 3SE +/- 832.79, N = 3SE +/- 1494.81, N = 3SE +/- 935.71, N = 32595253259395325952532596733
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra500K1000K1500K2000K2500KMin: 2591600 / Avg: 2595253.33 / Max: 2599180Min: 2592830 / Avg: 2593953.33 / Max: 2595580Min: 2592320 / Avg: 2595253.33 / Max: 2597220Min: 2594910 / Avg: 2596733.33 / Max: 2598010

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.23, N = 3130.26130.72130.30130.541. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 129.95 / Avg: 130.26 / Max: 130.65Min: 130.48 / Avg: 130.72 / Max: 130.9Min: 130.06 / Avg: 130.3 / Max: 130.65Min: 130.26 / Avg: 130.54 / Max: 130.991. (CXX) g++ options: -O2 -lOpenCL

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra9M18M27M36M45MSE +/- 682550.81, N = 3SE +/- 562431.86, N = 3SE +/- 393327.64, N = 3SE +/- 236602.10, N = 340778410.040836665.840533065.441368242.3
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra7M14M21M28M35MMin: 39413798.6 / Avg: 40778409.97 / Max: 41492396.7Min: 40019477.8 / Avg: 40836665.8 / Max: 41914693.6Min: 39746418.6 / Avg: 40533065.43 / Max: 40929545.4Min: 40991193.3 / Avg: 41368242.27 / Max: 41804389.9

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.08, N = 15SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 310.1410.0010.0510.041. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 9.58 / Avg: 10.14 / Max: 10.53Min: 9.87 / Avg: 10 / Max: 10.14Min: 10.01 / Avg: 10.05 / Max: 10.08Min: 9.95 / Avg: 10.04 / Max: 10.181. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3116.33116.13115.84116.021. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 116.17 / Avg: 116.33 / Max: 116.56Min: 115.97 / Avg: 116.13 / Max: 116.27Min: 115.67 / Avg: 115.84 / Max: 116.01Min: 115.82 / Avg: 116.02 / Max: 116.181. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100SE +/- 0.25, N = 3SE +/- 1.19, N = 5SE +/- 0.63, N = 3SE +/- 0.95, N = 398.67100.1998.5898.55
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 98.17 / Avg: 98.67 / Max: 98.97Min: 97.47 / Avg: 100.19 / Max: 103.96Min: 97.75 / Avg: 98.58 / Max: 99.81Min: 97.25 / Avg: 98.55 / Max: 100.4

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.24882.49763.74644.99526.244SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.555.555.555.541. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 5.54 / Avg: 5.55 / Max: 5.55Min: 5.55 / Avg: 5.55 / Max: 5.55Min: 5.54 / Avg: 5.55 / Max: 5.56Min: 5.53 / Avg: 5.54 / Max: 5.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

NAMD

NAMD is a parallel molecular dynamics code designed for high-performance simulation of large biomolecular systems. NAMD was developed by the Theoretical and Computational Biophysics Group in the Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.50641.01281.51922.02562.532SE +/- 0.00074, N = 3SE +/- 0.00145, N = 3SE +/- 0.00067, N = 3SE +/- 0.00023, N = 32.242002.236962.235332.25085
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 2.24 / Avg: 2.24 / Max: 2.24Min: 2.23 / Avg: 2.24 / Max: 2.24Min: 2.23 / Avg: 2.24 / Max: 2.24Min: 2.25 / Avg: 2.25 / Max: 2.25

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.27352.5473.82055.0946.3675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.665.655.665.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 5.65 / Avg: 5.66 / Max: 5.66Min: 5.65 / Avg: 5.65 / Max: 5.65Min: 5.65 / Avg: 5.66 / Max: 5.67Min: 5.65 / Avg: 5.65 / Max: 5.651. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835SE +/- 0.65, N = 15SE +/- 0.90, N = 12SE +/- 0.41, N = 3SE +/- 1.48, N = 1229.3527.6024.0827.001. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835Min: 24.93 / Avg: 29.35 / Max: 34.03Min: 22.9 / Avg: 27.6 / Max: 32.53Min: 23.6 / Avg: 24.08 / Max: 24.9Min: 18.63 / Avg: 27 / Max: 36.11. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra918273645SE +/- 0.98, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3SE +/- 0.44, N = 339.1238.1938.3338.41MIN: 37.49 / MAX: 51.7MIN: 37.4 / MAX: 52.33MIN: 37.5 / MAX: 52.01MIN: 37.22 / MAX: 52.111. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240Min: 38.13 / Avg: 39.12 / Max: 41.07Min: 37.97 / Avg: 38.19 / Max: 38.56Min: 38.11 / Avg: 38.33 / Max: 38.7Min: 37.75 / Avg: 38.41 / Max: 39.251. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.030, N = 3SE +/- 0.018, N = 3SE +/- 0.007, N = 3SE +/- 0.025, N = 36.5686.5456.5706.543MIN: 6.47 / MAX: 8.3MIN: 6.43 / MAX: 7.72MIN: 6.49 / MAX: 10.21MIN: 6.41 / MAX: 8.651. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 6.54 / Avg: 6.57 / Max: 6.63Min: 6.51 / Avg: 6.55 / Max: 6.57Min: 6.56 / Avg: 6.57 / Max: 6.58Min: 6.5 / Avg: 6.54 / Max: 6.581. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.07512.15023.22534.30045.3755SE +/- 0.034, N = 3SE +/- 0.018, N = 3SE +/- 0.010, N = 3SE +/- 0.035, N = 34.7784.7414.7404.696MIN: 4.57 / MAX: 7.67MIN: 4.6 / MAX: 7.19MIN: 4.58 / MAX: 5.53MIN: 4.49 / MAX: 19.651. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 4.71 / Avg: 4.78 / Max: 4.83Min: 4.71 / Avg: 4.74 / Max: 4.77Min: 4.72 / Avg: 4.74 / Max: 4.75Min: 4.63 / Avg: 4.7 / Max: 4.751. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 334.1134.2734.2834.18MIN: 32.5 / MAX: 49.05MIN: 32.44 / MAX: 46.74MIN: 32.64 / MAX: 48.96MIN: 32.62 / MAX: 46.631. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835Min: 33.78 / Avg: 34.11 / Max: 34.37Min: 34.15 / Avg: 34.27 / Max: 34.43Min: 33.94 / Avg: 34.28 / Max: 34.62Min: 34.01 / Avg: 34.18 / Max: 34.361. (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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.004, N = 3SE +/- 0.010, N = 3SE +/- 0.023, N = 3SE +/- 0.033, N = 39.4609.5019.4599.440MIN: 9.35 / MAX: 11.98MIN: 9.38 / MAX: 25.95MIN: 9.3 / MAX: 11.91MIN: 9.29 / MAX: 11.621. (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
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 9.45 / Avg: 9.46 / Max: 9.46Min: 9.48 / Avg: 9.5 / Max: 9.52Min: 9.41 / Avg: 9.46 / Max: 9.49Min: 9.39 / Avg: 9.44 / Max: 9.51. (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

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100SE +/- 0.61, N = 3SE +/- 0.34, N = 3SE +/- 0.98, N = 3SE +/- 0.41, N = 3103.55101.98103.02103.501. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 102.35 / Avg: 103.55 / Max: 104.28Min: 101.34 / Avg: 101.98 / Max: 102.52Min: 101.44 / Avg: 103.02 / Max: 104.81Min: 102.72 / Avg: 103.5 / Max: 104.121. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 336.6736.6936.8036.65
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240Min: 36.64 / Avg: 36.67 / Max: 36.72Min: 36.64 / Avg: 36.69 / Max: 36.75Min: 36.69 / Avg: 36.8 / Max: 36.94Min: 36.58 / Avg: 36.65 / Max: 36.71

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100SE +/- 1.18, N = 3SE +/- 0.26, N = 3SE +/- 0.60, N = 3SE +/- 0.66, N = 393.4792.2492.5291.941. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 91.55 / Avg: 93.47 / Max: 95.62Min: 91.86 / Avg: 92.24 / Max: 92.73Min: 91.33 / Avg: 92.52 / Max: 93.21Min: 91.21 / Avg: 91.94 / Max: 93.261. (CXX) g++ options: -O2 -lOpenCL

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.6M3.2M4.8M6.4M8MSE +/- 65785.68, N = 13SE +/- 110315.15, N = 3SE +/- 83090.36, N = 3SE +/- 56140.49, N = 147156368.317224246.177264968.427089085.981. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.3M2.6M3.9M5.2M6.5MMin: 6773049.04 / Avg: 7156368.31 / Max: 7655546.84Min: 7009777.93 / Avg: 7224246.17 / Max: 7376322.53Min: 7119233.78 / Avg: 7264968.42 / Max: 7406995.6Min: 6729873.32 / Avg: 7089085.98 / Max: 7484271.781. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra8001600240032004000SE +/- 11.41, N = 3SE +/- 5.10, N = 3SE +/- 2.12, N = 3SE +/- 2.05, N = 33602.413508.323427.123429.75MIN: 3561.94MIN: 3481.06MIN: 3405.75MIN: 3408.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra6001200180024003000Min: 3580.87 / Avg: 3602.41 / Max: 3619.69Min: 3498.33 / Avg: 3508.32 / Max: 3515.13Min: 3423.23 / Avg: 3427.12 / Max: 3430.53Min: 3426.53 / Avg: 3429.75 / Max: 3433.571. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra8001600240032004000SE +/- 38.33, N = 3SE +/- 12.05, N = 3SE +/- 1.49, N = 3SE +/- 6.37, N = 33610.533511.703426.433437.33MIN: 3526.71MIN: 3478.02MIN: 3406.9MIN: 3409.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra6001200180024003000Min: 3541.79 / Avg: 3610.53 / Max: 3674.3Min: 3491.83 / Avg: 3511.7 / Max: 3533.45Min: 3424.07 / Avg: 3426.43 / Max: 3429.18Min: 3425.53 / Avg: 3437.33 / Max: 3447.371. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra8001600240032004000SE +/- 24.47, N = 3SE +/- 12.68, N = 3SE +/- 4.14, N = 3SE +/- 7.18, N = 33602.393538.583427.913437.76MIN: 3535.28MIN: 3493.96MIN: 3403.76MIN: 3412.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra6001200180024003000Min: 3557.76 / Avg: 3602.39 / Max: 3642.1Min: 3513.42 / Avg: 3538.58 / Max: 3553.88Min: 3421.76 / Avg: 3427.91 / Max: 3435.8Min: 3425.59 / Avg: 3437.76 / Max: 3450.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100SE +/- 0.61, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.49, N = 379.3479.9579.8580.01
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1530456075Min: 78.64 / Avg: 79.34 / Max: 80.54Min: 79.04 / Avg: 79.95 / Max: 81.03Min: 79.17 / Avg: 79.85 / Max: 81.01Min: 79.49 / Avg: 80.01 / Max: 81

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000SE +/- 20.91, N = 3SE +/- 8.51, N = 3SE +/- 0.50, N = 3SE +/- 1.69, N = 32011.451931.821712.101716.85MIN: 1965.18MIN: 1905.68MIN: 1695.7MIN: 1701.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000Min: 1975.2 / Avg: 2011.45 / Max: 2047.64Min: 1918.31 / Avg: 1931.82 / Max: 1947.54Min: 1711.2 / Avg: 1712.1 / Max: 1712.94Min: 1713.75 / Avg: 1716.85 / Max: 1719.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000SE +/- 1.43, N = 3SE +/- 3.69, N = 3SE +/- 2.38, N = 3SE +/- 1.08, N = 31987.381947.921710.451709.40MIN: 1970.07MIN: 1930.03MIN: 1696.38MIN: 1700.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30060090012001500Min: 1984.76 / Avg: 1987.38 / Max: 1989.69Min: 1941.42 / Avg: 1947.92 / Max: 1954.2Min: 1705.88 / Avg: 1710.45 / Max: 1713.87Min: 1707.6 / Avg: 1709.4 / Max: 1711.321. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000SE +/- 9.19, N = 3SE +/- 8.61, N = 3SE +/- 0.56, N = 3SE +/- 3.78, N = 31968.691938.011712.411709.62MIN: 1942.51MIN: 1915.49MIN: 1699.62MIN: 1694.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30060090012001500Min: 1958.39 / Avg: 1968.69 / Max: 1987.02Min: 1927.96 / Avg: 1938.01 / Max: 1955.15Min: 1711.71 / Avg: 1712.41 / Max: 1713.51Min: 1703.5 / Avg: 1709.62 / Max: 1716.511. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra40K80K120K160K200KSE +/- 2019.28, N = 6SE +/- 633.82, N = 3SE +/- 212.90, N = 3SE +/- 605.12, N = 3179561178312177467178067
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30K60K90K120K150KMin: 176896 / Avg: 179561.17 / Max: 189619Min: 177486 / Avg: 178312.33 / Max: 179558Min: 177245 / Avg: 177467.33 / Max: 177893Min: 177430 / Avg: 178067.33 / Max: 179277

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.0181, N = 3SE +/- 0.0358, N = 3SE +/- 0.0210, N = 3SE +/- 0.0078, N = 39.69369.65649.71589.7128MIN: 9.63 / MAX: 9.79MIN: 9.55 / MAX: 9.78MIN: 9.66 / MAX: 9.85MIN: 9.66 / MAX: 9.81
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 9.66 / Avg: 9.69 / Max: 9.72Min: 9.59 / Avg: 9.66 / Max: 9.7Min: 9.69 / Avg: 9.72 / Max: 9.76Min: 9.7 / Avg: 9.71 / Max: 9.72

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.1610.1410.1510.16MIN: 10.11 / MAX: 10.25MIN: 10.1 / MAX: 10.23MIN: 10.1 / MAX: 10.23MIN: 10.11 / MAX: 10.26
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 10.15 / Avg: 10.16 / Max: 10.18Min: 10.13 / Avg: 10.14 / Max: 10.16Min: 10.14 / Avg: 10.15 / Max: 10.15Min: 10.14 / Avg: 10.16 / Max: 10.18

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra15K30K45K60K75KSE +/- 35.55, N = 3SE +/- 27.36, N = 3SE +/- 19.80, N = 3SE +/- 22.93, N = 3698346991169827698981. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12K24K36K48K60KMin: 69782 / Avg: 69834 / Max: 69902Min: 69856 / Avg: 69910.67 / Max: 69940Min: 69803 / Avg: 69826.67 / Max: 69866Min: 69863 / Avg: 69897.67 / Max: 699411. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra90K180K270K360K450KSE +/- 5208.73, N = 3SE +/- 1075.01, N = 3SE +/- 382.75, N = 3SE +/- 974.54, N = 3432875.89425578.88427606.94427035.991. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra80K160K240K320K400KMin: 425590.54 / Avg: 432875.89 / Max: 442967.24Min: 423675.7 / Avg: 425578.88 / Max: 427396.72Min: 426843.15 / Avg: 427606.94 / Max: 428033.18Min: 425368.15 / Avg: 427035.99 / Max: 428743.351. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping PongEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.16782.33563.50344.67125.839SE +/- 0.346, N = 25SE +/- 0.347, N = 25SE +/- 0.327, N = 25SE +/- 0.335, N = 254.9804.9644.5385.1901. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping PongEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 3.18 / Avg: 4.98 / Max: 7.41Min: 3.17 / Avg: 4.96 / Max: 7.69Min: 3.16 / Avg: 4.54 / Max: 7.25Min: 3.17 / Avg: 5.19 / Max: 7.311. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5001000150020002500SE +/- 4.04, N = 3SE +/- 18.86, N = 3SE +/- 7.10, N = 3SE +/- 14.53, N = 32423.082436.122435.832429.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000Min: 2416.36 / Avg: 2423.08 / Max: 2430.31Min: 2409.64 / Avg: 2436.12 / Max: 2472.62Min: 2427.31 / Avg: 2435.83 / Max: 2449.93Min: 2412.07 / Avg: 2429.53 / Max: 2458.371. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.3690.7381.1071.4761.845SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.641.621.621.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.64 / Avg: 1.64 / Max: 1.64Min: 1.58 / Avg: 1.62 / Max: 1.65Min: 1.61 / Avg: 1.62 / Max: 1.64Min: 1.59 / Avg: 1.63 / Max: 1.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1530456075SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 366.7266.7867.6367.641. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1326395265Min: 66.54 / Avg: 66.72 / Max: 67.05Min: 66.69 / Avg: 66.78 / Max: 66.89Min: 67.12 / Avg: 67.63 / Max: 68.05Min: 67.46 / Avg: 67.64 / Max: 67.781. (CC) gcc options: -O2 -ldl -lz -lpthread

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3K6K9K12K15KSE +/- 177.47, N = 3SE +/- 22.70, N = 3SE +/- 103.23, N = 3SE +/- 7.37, N = 314091143291416314204
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2K4K6K8K10KMin: 13752 / Avg: 14090.67 / Max: 14352Min: 14285 / Avg: 14329.33 / Max: 14360Min: 14011 / Avg: 14163 / Max: 14360Min: 14193 / Avg: 14204 / Max: 14218

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000SE +/- 3.30, N = 3SE +/- 3.35, N = 3SE +/- 2.98, N = 3SE +/- 2.01, N = 31905.771914.541909.161912.181. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30060090012001500Min: 1899.26 / Avg: 1905.77 / Max: 1909.99Min: 1908.66 / Avg: 1914.54 / Max: 1920.25Min: 1903.4 / Avg: 1909.16 / Max: 1913.33Min: 1908.57 / Avg: 1912.18 / Max: 1915.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.47250.9451.41751.892.3625SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.102.092.092.091. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 2.09 / Avg: 2.1 / Max: 2.1Min: 2.08 / Avg: 2.09 / Max: 2.1Min: 2.09 / Avg: 2.09 / Max: 2.09Min: 2.08 / Avg: 2.09 / Max: 2.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5001000150020002500SE +/- 1.38, N = 3SE +/- 6.12, N = 3SE +/- 1.05, N = 3SE +/- 5.11, N = 32427.712423.562435.382429.721. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000Min: 2425.95 / Avg: 2427.71 / Max: 2430.44Min: 2412.42 / Avg: 2423.56 / Max: 2433.53Min: 2434.28 / Avg: 2435.38 / Max: 2437.47Min: 2420.4 / Avg: 2429.72 / Max: 2438.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.3690.7381.1071.4761.845SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.641.641.631.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.64 / Avg: 1.64 / Max: 1.64Min: 1.63 / Avg: 1.64 / Max: 1.64Min: 1.62 / Avg: 1.63 / Max: 1.64Min: 1.61 / Avg: 1.63 / Max: 1.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000SE +/- 2.63, N = 3SE +/- 1.29, N = 3SE +/- 1.07, N = 3SE +/- 2.47, N = 31910.001909.951913.241911.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30060090012001500Min: 1905.35 / Avg: 1910 / Max: 1914.45Min: 1908.25 / Avg: 1909.95 / Max: 1912.47Min: 1911.14 / Avg: 1913.24 / Max: 1914.65Min: 1906.79 / Avg: 1911.68 / Max: 1914.751. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.47250.9451.41751.892.3625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.092.102.092.091. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 2.09 / Avg: 2.09 / Max: 2.09Min: 2.09 / Avg: 2.1 / Max: 2.1Min: 2.09 / Avg: 2.09 / Max: 2.09Min: 2.09 / Avg: 2.09 / Max: 2.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 328.6228.6728.6228.66MIN: 28.06 / MAX: 30.31MIN: 28.15 / MAX: 29.96MIN: 28.07 / MAX: 41.18MIN: 28.16 / MAX: 30.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430Min: 28.54 / Avg: 28.62 / Max: 28.66Min: 28.63 / Avg: 28.67 / Max: 28.73Min: 28.52 / Avg: 28.62 / Max: 28.71Min: 28.63 / Avg: 28.66 / Max: 28.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 323.1423.1423.6023.21MIN: 22.74 / MAX: 55.4MIN: 22.67 / MAX: 51.67MIN: 23.18 / MAX: 24.8MIN: 22.94 / MAX: 24.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430Min: 23.06 / Avg: 23.14 / Max: 23.21Min: 22.93 / Avg: 23.14 / Max: 23.32Min: 23.49 / Avg: 23.6 / Max: 23.68Min: 23.17 / Avg: 23.21 / Max: 23.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 38.638.648.628.64MIN: 8.51 / MAX: 11.34MIN: 8.52 / MAX: 9.34MIN: 8.48 / MAX: 9.53MIN: 8.54 / MAX: 9.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 8.6 / Avg: 8.63 / Max: 8.65Min: 8.63 / Avg: 8.64 / Max: 8.65Min: 8.61 / Avg: 8.62 / Max: 8.63Min: 8.63 / Avg: 8.64 / Max: 8.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 311.9011.7811.8911.79MIN: 11.56 / MAX: 48.3MIN: 11.58 / MAX: 15.5MIN: 11.63 / MAX: 12.66MIN: 11.61 / MAX: 13.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 11.73 / Avg: 11.9 / Max: 12.01Min: 11.76 / Avg: 11.78 / Max: 11.81Min: 11.78 / Avg: 11.89 / Max: 11.99Min: 11.77 / Avg: 11.79 / Max: 11.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240SE +/- 0.00, N = 3SE +/- 0.26, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 332.6132.9132.7232.82MIN: 32.37 / MAX: 34.21MIN: 32.42 / MAX: 103.43MIN: 32.4 / MAX: 33.51MIN: 32.57 / MAX: 34.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835Min: 32.61 / Avg: 32.61 / Max: 32.62Min: 32.64 / Avg: 32.91 / Max: 33.42Min: 32.58 / Avg: 32.72 / Max: 32.81Min: 32.81 / Avg: 32.82 / Max: 32.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 317.4916.6117.9817.83MIN: 15.94 / MAX: 18.41MIN: 15.92 / MAX: 70.71MIN: 17.67 / MAX: 19.63MIN: 16.01 / MAX: 67.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025Min: 16.85 / Avg: 17.49 / Max: 18Min: 16.52 / Avg: 16.61 / Max: 16.72Min: 17.89 / Avg: 17.98 / Max: 18.1Min: 17.63 / Avg: 17.83 / Max: 18.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.61651.2331.84952.4663.0825SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.742.732.722.73MIN: 2.64 / MAX: 3.07MIN: 2.61 / MAX: 3.31MIN: 2.63 / MAX: 2.99MIN: 2.63 / MAX: 2.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 2.72 / Avg: 2.74 / Max: 2.75Min: 2.72 / Avg: 2.73 / Max: 2.74Min: 2.7 / Avg: 2.72 / Max: 2.74Min: 2.72 / Avg: 2.73 / Max: 2.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 39.449.439.409.41MIN: 9.28 / MAX: 9.71MIN: 9.23 / MAX: 10.18MIN: 9.25 / MAX: 11.6MIN: 9.25 / MAX: 10.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 9.4 / Avg: 9.44 / Max: 9.46Min: 9.37 / Avg: 9.43 / Max: 9.48Min: 9.38 / Avg: 9.4 / Max: 9.42Min: 9.38 / Avg: 9.41 / Max: 9.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.576.036.586.59MIN: 6.48 / MAX: 6.78MIN: 5.79 / MAX: 7.93MIN: 6.47 / MAX: 8.35MIN: 6.48 / MAX: 7.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 6.56 / Avg: 6.57 / Max: 6.58Min: 5.97 / Avg: 6.03 / Max: 6.09Min: 6.57 / Avg: 6.58 / Max: 6.6Min: 6.56 / Avg: 6.59 / Max: 6.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 37.327.307.277.28MIN: 7.13 / MAX: 10.82MIN: 7.13 / MAX: 8.78MIN: 7.16 / MAX: 8.78MIN: 7.17 / MAX: 8.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 7.28 / Avg: 7.32 / Max: 7.34Min: 7.29 / Avg: 7.3 / Max: 7.32Min: 7.23 / Avg: 7.27 / Max: 7.3Min: 7.25 / Avg: 7.28 / Max: 7.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 36.816.796.766.78MIN: 5.92 / MAX: 10.28MIN: 6.62 / MAX: 8.25MIN: 5.99 / MAX: 8.27MIN: 6.61 / MAX: 8.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 6.76 / Avg: 6.81 / Max: 6.85Min: 6.77 / Avg: 6.79 / Max: 6.82Min: 6.75 / Avg: 6.76 / Max: 6.76Min: 6.74 / Avg: 6.78 / Max: 6.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 36.866.866.956.83MIN: 6.53 / MAX: 10.87MIN: 6.56 / MAX: 9.21MIN: 6.53 / MAX: 74.3MIN: 6.52 / MAX: 8.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 6.81 / Avg: 6.86 / Max: 6.9Min: 6.82 / Avg: 6.86 / Max: 6.9Min: 6.82 / Avg: 6.95 / Max: 7.18Min: 6.79 / Avg: 6.83 / Max: 6.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 320.0420.0720.0320.01MIN: 19.49 / MAX: 21.27MIN: 19.42 / MAX: 21.3MIN: 19.47 / MAX: 21.24MIN: 19.46 / MAX: 21.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025Min: 19.99 / Avg: 20.04 / Max: 20.11Min: 19.94 / Avg: 20.07 / Max: 20.21Min: 19.96 / Avg: 20.03 / Max: 20.1Min: 19.98 / Avg: 20.01 / Max: 20.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 318.3918.4018.4718.49MIN: 17.95 / MAX: 20.36MIN: 17.96 / MAX: 19.82MIN: 17.91 / MAX: 19.99MIN: 17.9 / MAX: 20.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025Min: 18.38 / Avg: 18.39 / Max: 18.4Min: 18.34 / Avg: 18.4 / Max: 18.45Min: 18.44 / Avg: 18.47 / Max: 18.49Min: 18.44 / Avg: 18.49 / Max: 18.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.0371, N = 3SE +/- 0.0166, N = 3SE +/- 0.0115, N = 3SE +/- 0.0118, N = 39.54789.58449.67679.6690MIN: 9.44 / MAX: 9.74MIN: 9.5 / MAX: 9.71MIN: 9.6 / MAX: 9.83MIN: 9.59 / MAX: 9.82
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 9.49 / Avg: 9.55 / Max: 9.62Min: 9.55 / Avg: 9.58 / Max: 9.61Min: 9.66 / Avg: 9.68 / Max: 9.7Min: 9.65 / Avg: 9.67 / Max: 9.69

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1122334455SE +/- 0.19, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 345.045.446.546.31. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra918273645Min: 44.6 / Avg: 44.97 / Max: 45.2Min: 45.4 / Avg: 45.4 / Max: 45.4Min: 46.3 / Avg: 46.47 / Max: 46.6Min: 46.3 / Avg: 46.33 / Max: 46.41. (CC) gcc options: -O3 -pthread -lz -llzma

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.38480.76961.15441.53921.924SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.701.701.711.70MIN: 1.63 / MAX: 1.74MIN: 1.62 / MAX: 1.75MIN: 1.63 / MAX: 1.76MIN: 1.63 / MAX: 1.74
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.7 / Avg: 1.7 / Max: 1.7Min: 1.69 / Avg: 1.7 / Max: 1.71Min: 1.7 / Avg: 1.71 / Max: 1.72Min: 1.69 / Avg: 1.7 / Max: 1.7

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1428425670SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 360.0760.1861.3461.811. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1224364860Min: 60.01 / Avg: 60.07 / Max: 60.13Min: 60.1 / Avg: 60.18 / Max: 60.32Min: 61.25 / Avg: 61.34 / Max: 61.5Min: 61.68 / Avg: 61.81 / Max: 62.041. RawTherapee, version 5.8, command line.

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.4140.8281.2421.6562.07SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.831.841.811.82MIN: 1.78 / MAX: 1.87MIN: 1.78 / MAX: 1.91MIN: 1.78 / MAX: 1.85MIN: 1.79 / MAX: 1.85
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.81 / Avg: 1.83 / Max: 1.87Min: 1.81 / Avg: 1.84 / Max: 1.87Min: 1.81 / Avg: 1.81 / Max: 1.81Min: 1.82 / Avg: 1.82 / Max: 1.82

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under LoadEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.95021.90042.85063.80084.751SE +/- 0.067, N = 25SE +/- 0.110, N = 20SE +/- 0.052, N = 25SE +/- 0.384, N = 203.7784.0413.8454.2231. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under LoadEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 3.47 / Avg: 3.78 / Max: 5.05Min: 3.53 / Avg: 4.04 / Max: 5.15Min: 3.52 / Avg: 3.85 / Max: 4.37Min: 3.52 / Avg: 4.22 / Max: 11.431. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7F320.8751.752.6253.54.375SE +/- 0.008, N = 33.889

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7F320.40430.80861.21291.61722.0215SE +/- 0.003, N = 31.797

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra40K80K120K160K200KSE +/- 19.27, N = 3SE +/- 83.81, N = 3SE +/- 47.37, N = 3SE +/- 17.48, N = 3200843200842200931200957
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30K60K90K120K150KMin: 200820 / Avg: 200842.67 / Max: 200881Min: 200730 / Avg: 200842 / Max: 201006Min: 200855 / Avg: 200931 / Max: 201018Min: 200925 / Avg: 200957.33 / Max: 200985

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30K60K90K120K150KSE +/- 28.24, N = 3SE +/- 32.34, N = 3SE +/- 18.00, N = 3SE +/- 4.62, N = 3135170135185135176135107
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20K40K60K80K100KMin: 135114 / Avg: 135170.33 / Max: 135202Min: 135130 / Avg: 135185.33 / Max: 135242Min: 135141 / Avg: 135176.33 / Max: 135200Min: 135099 / Avg: 135107 / Max: 135115

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30K60K90K120K150KSE +/- 64.98, N = 3SE +/- 64.18, N = 3SE +/- 77.14, N = 3132532132510132486132557
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20K40K60K80K100KMin: 132460 / Avg: 132532.33 / Max: 132662Min: 132423 / Avg: 132509.67 / Max: 132635Min: 132457 / Avg: 132557.33 / Max: 132709

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.0366, N = 3SE +/- 0.0839, N = 3SE +/- 0.1629, N = 3SE +/- 0.0068, N = 39.987510.08489.999910.1839MIN: 9.89 / MAX: 10.19MIN: 9.88 / MAX: 10.36MIN: 9.44 / MAX: 10.33MIN: 10.12 / MAX: 10.32
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 9.94 / Avg: 9.99 / Max: 10.06Min: 9.92 / Avg: 10.08 / Max: 10.19Min: 9.68 / Avg: 10 / Max: 10.21Min: 10.17 / Avg: 10.18 / Max: 10.19

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3060901201501211211221211. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1326395265SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 360.0560.0660.1760.141. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1224364860Min: 60.05 / Avg: 60.05 / Max: 60.06Min: 60.02 / Avg: 60.06 / Max: 60.09Min: 60.16 / Avg: 60.17 / Max: 60.19Min: 60.13 / Avg: 60.13 / Max: 60.141. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4080120160200SE +/- 0.33, N = 31941951951941. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4080120160200Min: 193 / Avg: 193.67 / Max: 1941. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.17330.34660.51990.69320.8665SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.770.770.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.77 / Avg: 0.77 / Max: 0.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra11002200330044005500SE +/- 7.42, N = 3SE +/- 6.55, N = 3SE +/- 2.67, N = 3SE +/- 4.19, N = 35053.825048.835046.915057.121. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra9001800270036004500Min: 5039.01 / Avg: 5053.82 / Max: 5061.98Min: 5036.29 / Avg: 5048.83 / Max: 5058.37Min: 5043.45 / Avg: 5046.91 / Max: 5052.16Min: 5050.62 / Avg: 5057.12 / Max: 5064.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra501001502002502492502472431. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.17550.3510.52650.7020.8775SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.770.770.770.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.78 / Max: 0.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra11002200330044005500SE +/- 12.94, N = 3SE +/- 5.56, N = 3SE +/- 8.83, N = 3SE +/- 3.18, N = 35041.875052.425039.065032.671. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra9001800270036004500Min: 5017.17 / Avg: 5041.87 / Max: 5060.93Min: 5045.64 / Avg: 5052.42 / Max: 5063.45Min: 5021.46 / Avg: 5039.06 / Max: 5049.13Min: 5028.2 / Avg: 5032.67 / Max: 5038.811. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra110220330440550SE +/- 0.33, N = 3SE +/- 0.33, N = 34704904944831. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra90180270360450Min: 469 / Avg: 469.67 / Max: 470Min: 483 / Avg: 483.33 / Max: 4841. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2004006008001000SE +/- 12.77, N = 3SE +/- 4.93, N = 38519069189111. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra160320480640800Min: 834 / Avg: 851 / Max: 876Min: 897 / Avg: 906 / Max: 9141. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2004006008001000SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 8.84, N = 396010069609041. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2004006008001000Min: 959 / Avg: 960.33 / Max: 961Min: 1005 / Avg: 1005.67 / Max: 1007Min: 942 / Avg: 959.67 / Max: 9691. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Stockfish

This is a test of Stockfish, an advanced C++11 chess benchmark that can scale up to 128 CPU cores. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4M8M12M16M20MSE +/- 51851.45, N = 3SE +/- 135933.82, N = 3SE +/- 229916.93, N = 4SE +/- 140616.38, N = 3188101141868069018364496186338251. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3M6M9M12M15MMin: 18739901 / Avg: 18810114.33 / Max: 18911314Min: 18538722 / Avg: 18680690 / Max: 18952467Min: 18056906 / Avg: 18364495.75 / Max: 19036677Min: 18384850 / Avg: 18633825 / Max: 188715711. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2K4K6K8K10KSE +/- 51.01, N = 3SE +/- 34.89, N = 3SE +/- 40.52, N = 3SE +/- 30.91, N = 310823.710851.110797.410758.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2K4K6K8K10KMin: 10770.8 / Avg: 10823.7 / Max: 10925.7Min: 10781.4 / Avg: 10851.13 / Max: 10888.1Min: 10716.6 / Avg: 10797.37 / Max: 10843.5Min: 10726.1 / Avg: 10758 / Max: 10819.81. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1224364860SE +/- 0.43, N = 3SE +/- 0.03, N = 3SE +/- 0.68, N = 3SE +/- 0.69, N = 352.0251.2152.9752.431. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1122334455Min: 51.16 / Avg: 52.02 / Max: 52.52Min: 51.16 / Avg: 51.21 / Max: 51.24Min: 51.84 / Avg: 52.97 / Max: 54.2Min: 51.74 / Avg: 52.43 / Max: 53.81. (CC) gcc options: -O3

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.50181.00361.50542.00722.509SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.222.222.232.23
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 2.21 / Avg: 2.22 / Max: 2.22Min: 2.2 / Avg: 2.22 / Max: 2.24Min: 2.21 / Avg: 2.23 / Max: 2.25Min: 2.22 / Avg: 2.23 / Max: 2.25

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2K4K6K8K10KSE +/- 32.91, N = 3SE +/- 1.05, N = 3SE +/- 39.07, N = 3SE +/- 7.07, N = 310825.910757.410788.810819.11. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2K4K6K8K10KMin: 10760.2 / Avg: 10825.93 / Max: 10861.7Min: 10755.4 / Avg: 10757.43 / Max: 10758.9Min: 10712.5 / Avg: 10788.77 / Max: 10841.6Min: 10806.9 / Avg: 10819.1 / Max: 10831.41. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1224364860SE +/- 0.64, N = 3SE +/- 0.78, N = 3SE +/- 0.43, N = 3SE +/- 0.22, N = 353.6254.0253.3652.991. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1122334455Min: 52.52 / Avg: 53.62 / Max: 54.74Min: 52.47 / Avg: 54.02 / Max: 54.8Min: 52.9 / Avg: 53.36 / Max: 54.22Min: 52.73 / Avg: 52.99 / Max: 53.421. (CC) gcc options: -O3

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150SE +/- 1.59, N = 3SE +/- 1.35, N = 15SE +/- 1.43, N = 5SE +/- 1.72, N = 4117.70125.60121.81122.401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 115.48 / Avg: 117.7 / Max: 120.79Min: 118.44 / Avg: 125.59 / Max: 137.03Min: 117.98 / Avg: 121.81 / Max: 125.85Min: 118.46 / Avg: 122.4 / Max: 126.861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5001000150020002500SE +/- 28.50, N = 3SE +/- 20.76, N = 15SE +/- 24.08, N = 5SE +/- 28.62, N = 421261994205420451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000Min: 2070.57 / Avg: 2125.72 / Max: 2165.73Min: 1825.29 / Avg: 1994.48 / Max: 2111.68Min: 1987.26 / Avg: 2054.41 / Max: 2120.07Min: 1971.46 / Avg: 2044.63 / Max: 2111.341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 310.9210.8610.9710.92MIN: 10.81 / MAX: 11.08MIN: 10.77 / MAX: 11MIN: 10.87 / MAX: 11.09MIN: 10.77 / MAX: 11.17
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 10.84 / Avg: 10.92 / Max: 10.97Min: 10.81 / Avg: 10.86 / Max: 10.9Min: 10.94 / Avg: 10.97 / Max: 10.99Min: 10.81 / Avg: 10.92 / Max: 11.06

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1224364860SE +/- 0.50, N = 3SE +/- 0.15, N = 3SE +/- 0.31, N = 3SE +/- 0.74, N = 353.8151.9852.1853.74
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1122334455Min: 52.99 / Avg: 53.81 / Max: 54.7Min: 51.71 / Avg: 51.98 / Max: 52.23Min: 51.82 / Avg: 52.18 / Max: 52.8Min: 52.7 / Avg: 53.74 / Max: 55.17

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 310.9610.8510.9411.07MIN: 10.82 / MAX: 11.19MIN: 10.71 / MAX: 11.04MIN: 10.78 / MAX: 11.17MIN: 10.98 / MAX: 11.2
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 10.86 / Avg: 10.96 / Max: 11.07Min: 10.75 / Avg: 10.85 / Max: 10.93Min: 10.82 / Avg: 10.94 / Max: 11.05Min: 11.02 / Avg: 11.07 / Max: 11.11

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.24590.49180.73770.98361.2295SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 31.0921.0931.0921.082
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.09 / Avg: 1.09 / Max: 1.1Min: 1.09 / Avg: 1.09 / Max: 1.1Min: 1.09 / Avg: 1.09 / Max: 1.09Min: 1.08 / Avg: 1.08 / Max: 1.09

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1224364860SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 354.2754.5354.6154.56
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1122334455Min: 54.2 / Avg: 54.27 / Max: 54.32Min: 54.47 / Avg: 54.53 / Max: 54.58Min: 54.44 / Avg: 54.61 / Max: 54.72Min: 54.52 / Avg: 54.56 / Max: 54.6

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.0830.1660.2490.3320.415SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.3690.3690.3680.367
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37Min: 0.37 / Avg: 0.37 / Max: 0.37

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1224364860SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 353.9954.0254.0953.711. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1122334455Min: 53.81 / Avg: 53.99 / Max: 54.21Min: 53.92 / Avg: 54.02 / Max: 54.15Min: 53.93 / Avg: 54.09 / Max: 54.32Min: 53.29 / Avg: 53.71 / Max: 53.981. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1224364860SE +/- 0.20, N = 3SE +/- 0.19, N = 3SE +/- 0.13, N = 3SE +/- 0.58, N = 353.0453.2653.1253.23
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1122334455Min: 52.74 / Avg: 53.04 / Max: 53.41Min: 53.06 / Avg: 53.26 / Max: 53.64Min: 52.87 / Avg: 53.12 / Max: 53.26Min: 52.6 / Avg: 53.23 / Max: 54.39

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.32678, N = 15SE +/- 0.07230, N = 3SE +/- 0.89365, N = 15SE +/- 0.00720, N = 313.141404.330574.446963.55783MIN: 10.22MIN: 4.06MIN: 3.42MIN: 3.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620Min: 11.4 / Avg: 13.14 / Max: 14.73Min: 4.19 / Avg: 4.33 / Max: 4.41Min: 3.54 / Avg: 4.45 / Max: 16.96Min: 3.54 / Avg: 3.56 / Max: 3.571. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra300K600K900K1200K1500KSE +/- 16864.86, N = 15SE +/- 16422.46, N = 15SE +/- 18393.06, N = 15SE +/- 11583.92, N = 31535427.171561373.621557960.001493525.211. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra300K600K900K1200K1500KMin: 1437149.5 / Avg: 1535427.17 / Max: 1652945.38Min: 1455650.75 / Avg: 1561373.62 / Max: 1655735.12Min: 1472801.12 / Avg: 1557960 / Max: 1658374.88Min: 1470682.38 / Avg: 1493525.21 / Max: 1508295.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.32810.65620.98431.31241.6405SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 31.4561.4581.4531.441
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.45 / Avg: 1.46 / Max: 1.46Min: 1.45 / Avg: 1.46 / Max: 1.46Min: 1.45 / Avg: 1.45 / Max: 1.46Min: 1.44 / Avg: 1.44 / Max: 1.45

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835SE +/- 0.25, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.06, N = 430.9630.6331.1630.641. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835Min: 30.22 / Avg: 30.96 / Max: 31.25Min: 30.41 / Avg: 30.63 / Max: 30.73Min: 31.07 / Avg: 31.16 / Max: 31.23Min: 30.53 / Avg: 30.64 / Max: 30.791. (CC) gcc options: -O2 -std=c99

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025SE +/- 0.16, N = 15SE +/- 0.22, N = 6SE +/- 0.01, N = 3SE +/- 0.01, N = 317.8918.1218.4717.131. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025Min: 16.85 / Avg: 17.89 / Max: 18.35Min: 17.02 / Avg: 18.12 / Max: 18.41Min: 18.45 / Avg: 18.47 / Max: 18.49Min: 17.12 / Avg: 17.13 / Max: 17.151. (CXX) g++ options: -O2 -lOpenCL

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.3020.6040.9061.2081.51SE +/- 0.021, N = 15SE +/- 0.013, N = 3SE +/- 0.022, N = 15SE +/- 0.016, N = 31.3051.3421.3201.324MIN: 0.93 / MAX: 2.44MIN: 1.07 / MAX: 2.47MIN: 0.95 / MAX: 3.04MIN: 1.04 / MAX: 2.29
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.2 / Avg: 1.31 / Max: 1.42Min: 1.32 / Avg: 1.34 / Max: 1.36Min: 1.18 / Avg: 1.32 / Max: 1.44Min: 1.29 / Avg: 1.32 / Max: 1.35

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 315.3515.3115.3115.311. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620Min: 15.32 / Avg: 15.35 / Max: 15.37Min: 15.22 / Avg: 15.31 / Max: 15.37Min: 15.28 / Avg: 15.31 / Max: 15.33Min: 15.26 / Avg: 15.31 / Max: 15.361. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.06638, N = 3SE +/- 0.20933, N = 12SE +/- 0.01642, N = 3SE +/- 0.00790, N = 38.785807.258284.958704.95161MIN: 8.06MIN: 5.97MIN: 4.85MIN: 4.861. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 8.72 / Avg: 8.79 / Max: 8.92Min: 6.15 / Avg: 7.26 / Max: 8.14Min: 4.93 / Avg: 4.96 / Max: 4.98Min: 4.94 / Avg: 4.95 / Max: 4.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 336.2936.2736.2436.511. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240Min: 36.23 / Avg: 36.29 / Max: 36.34Min: 36.26 / Avg: 36.27 / Max: 36.28Min: 36.19 / Avg: 36.24 / Max: 36.33Min: 36.5 / Avg: 36.51 / Max: 36.531. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.06530.13060.19590.26120.3265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.290.290.290.291. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.29 / Avg: 0.29 / Max: 0.29Min: 0.28 / Avg: 0.29 / Max: 0.29Min: 0.29 / Avg: 0.29 / Max: 0.29Min: 0.29 / Avg: 0.29 / Max: 0.291. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.00970.01940.02910.03880.0485SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0420.0420.0430.0431. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5K10K15K20K25KSE +/- 183.94, N = 3SE +/- 152.16, N = 3SE +/- 144.06, N = 3SE +/- 77.78, N = 3239472372123195232401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4K8K12K16K20KMin: 23664.86 / Avg: 23947.05 / Max: 24292.54Min: 23536.7 / Avg: 23720.54 / Max: 24022.48Min: 22912.43 / Avg: 23194.58 / Max: 23386.2Min: 23091.36 / Avg: 23239.6 / Max: 23354.581. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.40, N = 3SE +/- 0.20, N = 335.4136.0535.8835.171. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240Min: 35.11 / Avg: 35.41 / Max: 35.61Min: 35.95 / Avg: 36.05 / Max: 36.21Min: 35.45 / Avg: 35.88 / Max: 36.68Min: 34.81 / Avg: 35.17 / Max: 35.491. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.25810.51620.77431.03241.2905SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 31.1471.1451.1431.1451. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.15 / Avg: 1.15 / Max: 1.15Min: 1.14 / Avg: 1.14 / Max: 1.15Min: 1.14 / Avg: 1.14 / Max: 1.15Min: 1.14 / Avg: 1.15 / Max: 1.151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50K100K150K200K250KSE +/- 196.79, N = 3SE +/- 698.68, N = 3SE +/- 766.77, N = 3SE +/- 485.75, N = 32179682185162188572184281. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra40K80K120K160K200KMin: 217592.09 / Avg: 217968.4 / Max: 218256.45Min: 217465.78 / Avg: 218516.03 / Max: 219839.39Min: 217678.81 / Avg: 218857.18 / Max: 220296.31Min: 217456.11 / Avg: 218427.61 / Max: 218917.591. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.10370.20740.31110.41480.5185SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.4590.4590.4610.4591. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50K100K150K200K250KSE +/- 490.74, N = 3SE +/- 323.72, N = 3SE +/- 366.68, N = 3SE +/- 90.47, N = 32179402179142167672178821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra40K80K120K160K200KMin: 217241.68 / Avg: 217939.54 / Max: 218886.16Min: 217271.11 / Avg: 217914.22 / Max: 218300.55Min: 216383 / Avg: 216767.42 / Max: 217500.5Min: 217714.95 / Avg: 217882.25 / Max: 218025.581. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.07160.14320.21480.28640.358SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3180.3110.3140.3101. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.31 / Avg: 0.31 / Max: 0.32Min: 0.31 / Avg: 0.31 / Max: 0.311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra7001400210028003500SE +/- 13.61, N = 3SE +/- 4.87, N = 3SE +/- 15.26, N = 3SE +/- 13.14, N = 331483214318332291. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 1 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra6001200180024003000Min: 3129.43 / Avg: 3147.92 / Max: 3174.46Min: 3204.31 / Avg: 3214.04 / Max: 3219.46Min: 3157.84 / Avg: 3183.06 / Max: 3210.54Min: 3202.29 / Avg: 3228.57 / Max: 3241.981. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 312.9913.0013.0312.961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620Min: 12.93 / Avg: 12.99 / Max: 13.05Min: 12.94 / Avg: 13 / Max: 13.06Min: 12.94 / Avg: 13.03 / Max: 13.09Min: 12.9 / Avg: 12.96 / Max: 13.031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4K8K12K16K20KSE +/- 52.38, N = 3SE +/- 52.35, N = 3SE +/- 67.51, N = 3SE +/- 56.33, N = 3192531924419196193001. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3K6K9K12K15KMin: 19162.11 / Avg: 19253.34 / Max: 19343.53Min: 19144.94 / Avg: 19243.94 / Max: 19322.95Min: 19104.47 / Avg: 19196.45 / Max: 19328.05Min: 19191.84 / Avg: 19299.63 / Max: 19381.91. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.07512.15023.22534.30045.3755SE +/- 0.012, N = 3SE +/- 0.008, N = 3SE +/- 0.010, N = 3SE +/- 0.013, N = 34.7784.7784.7704.7611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 4.76 / Avg: 4.78 / Max: 4.8Min: 4.76 / Avg: 4.78 / Max: 4.79Min: 4.75 / Avg: 4.77 / Max: 4.79Min: 4.74 / Avg: 4.76 / Max: 4.791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5K10K15K20K25KSE +/- 53.89, N = 3SE +/- 36.34, N = 3SE +/- 44.06, N = 3SE +/- 56.25, N = 3209372094120976210121. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4K8K12K16K20KMin: 20835.94 / Avg: 20937.48 / Max: 21019.56Min: 20882.25 / Avg: 20941.05 / Max: 21007.44Min: 20897.37 / Avg: 20976.16 / Max: 21049.74Min: 20906.88 / Avg: 21012.16 / Max: 21099.151. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.05470.10940.16410.21880.2735SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.2410.2410.2430.2431. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.24Min: 0.24 / Avg: 0.24 / Max: 0.241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra40K80K120K160K200KSE +/- 259.41, N = 3SE +/- 514.86, N = 3SE +/- 220.21, N = 3SE +/- 670.14, N = 32071662069782056962059021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra40K80K120K160K200KMin: 206681.61 / Avg: 207165.66 / Max: 207569.38Min: 206286.07 / Avg: 206977.57 / Max: 207984.1Min: 205256.01 / Avg: 205696.4 / Max: 205920.67Min: 204754.38 / Avg: 205902.18 / Max: 207075.411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.58251.1651.74752.332.9125SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.006, N = 32.5892.5802.5882.5771. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 2.58 / Avg: 2.59 / Max: 2.6Min: 2.58 / Avg: 2.58 / Max: 2.59Min: 2.58 / Avg: 2.59 / Max: 2.59Min: 2.57 / Avg: 2.58 / Max: 2.591. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4K8K12K16K20KSE +/- 29.92, N = 3SE +/- 26.98, N = 3SE +/- 20.00, N = 3SE +/- 48.02, N = 3193181938319320194081. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 50 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3K6K9K12K15KMin: 19269.47 / Avg: 19317.68 / Max: 19372.48Min: 19332.8 / Avg: 19383.24 / Max: 19425.06Min: 19289.52 / Avg: 19320.11 / Max: 19357.72Min: 19314.83 / Avg: 19407.69 / Max: 19475.351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 318.3318.3618.3418.371. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025Min: 18.3 / Avg: 18.33 / Max: 18.35Min: 18.34 / Avg: 18.36 / Max: 18.39Min: 18.18 / Avg: 18.34 / Max: 18.43Min: 18.32 / Avg: 18.37 / Max: 18.461. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.40, N = 332.3332.3632.4233.161. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835Min: 32.32 / Avg: 32.33 / Max: 32.35Min: 32.33 / Avg: 32.36 / Max: 32.39Min: 32.42 / Avg: 32.42 / Max: 32.44Min: 32.45 / Avg: 33.16 / Max: 33.841. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra300K600K900K1200K1500KSE +/- 12320.00, N = 15SE +/- 23164.07, N = 3SE +/- 13042.55, N = 15SE +/- 12636.25, N = 31339921.931345153.591355336.781385522.211. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra200K400K600K800K1000KMin: 1280450.62 / Avg: 1339921.93 / Max: 1418439.75Min: 1298826 / Avg: 1345153.59 / Max: 1368514.38Min: 1257861.62 / Avg: 1355336.78 / Max: 1422475.12Min: 1370389 / Avg: 1385522.21 / Max: 1410617.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra130K260K390K520K650KSE +/- 753.44, N = 3SE +/- 4215.18, N = 3SE +/- 1647.44, N = 3SE +/- 1194.91, N = 3619526628155616161620884
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra110K220K330K440K550KMin: 618259 / Avg: 619526.33 / Max: 620866Min: 619749 / Avg: 628154.67 / Max: 632916Min: 612918 / Avg: 616160.67 / Max: 618288Min: 618593 / Avg: 620884.33 / Max: 622618

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 326.7226.7126.7226.721. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430Min: 26.7 / Avg: 26.72 / Max: 26.75Min: 26.71 / Avg: 26.71 / Max: 26.72Min: 26.71 / Avg: 26.72 / Max: 26.72Min: 26.71 / Avg: 26.72 / Max: 26.731. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (an Ubuntu ISO) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2K4K6K8K10KSE +/- 3.27, N = 3SE +/- 61.52, N = 3SE +/- 40.71, N = 3SE +/- 43.44, N = 311421.111462.011426.311453.71. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2K4K6K8K10KMin: 11414.6 / Avg: 11421.13 / Max: 11424.5Min: 11376.8 / Avg: 11462.03 / Max: 11581.5Min: 11351.8 / Avg: 11426.3 / Max: 11492Min: 11368.1 / Avg: 11453.7 / Max: 11509.41. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2K4K6K8K10KSE +/- 8.51, N = 3SE +/- 34.40, N = 3SE +/- 55.03, N = 3SE +/- 24.11, N = 39943.3410035.779944.949975.481. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra2K4K6K8K10KMin: 9929.91 / Avg: 9943.34 / Max: 9959.12Min: 9970.63 / Avg: 10035.77 / Max: 10087.49Min: 9884.44 / Avg: 9944.94 / Max: 10054.81Min: 9928.14 / Avg: 9975.48 / Max: 10007.111. (CC) gcc options: -O3

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra7001400210028003500SE +/- 8.75, N = 3SE +/- 7.11, N = 3SE +/- 4.03, N = 3SE +/- 3.58, N = 33114.043123.993116.713135.661. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5001000150020002500Min: 3097.45 / Avg: 3114.04 / Max: 3127.17Min: 3116.46 / Avg: 3123.99 / Max: 3138.21Min: 3110.5 / Avg: 3116.71 / Max: 3124.26Min: 3128.51 / Avg: 3135.66 / Max: 3139.421. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMAEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50100150200250SE +/- 0.98, N = 3SE +/- 0.98, N = 3SE +/- 1.15, N = 3SE +/- 1.09, N = 3203.43206.54204.56204.441. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMAEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra4080120160200Min: 202.36 / Avg: 203.43 / Max: 205.39Min: 205.38 / Avg: 206.54 / Max: 208.48Min: 202.26 / Avg: 204.56 / Max: 205.82Min: 202.4 / Avg: 204.44 / Max: 206.141. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30M60M90M120M150MSE +/- 207619.90, N = 3SE +/- 71507.11, N = 3SE +/- 164506.21, N = 3SE +/- 325152.51, N = 3123497348.08123621581.57123864292.94123537107.981. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20M40M60M80M100MMin: 123082214.78 / Avg: 123497348.08 / Max: 123713058.53Min: 123501171.14 / Avg: 123621581.57 / Max: 123748613.4Min: 123572853.76 / Avg: 123864292.94 / Max: 124142240.68Min: 122887838.93 / Avg: 123537107.98 / Max: 123893518.721. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.6M3.2M4.8M6.4M8MSE +/- 91901.14, N = 4SE +/- 55698.30, N = 3SE +/- 21113.93, N = 3SE +/- 24139.14, N = 366336526676257763879176302111. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.3M2.6M3.9M5.2M6.5MMin: 6363086 / Avg: 6633652.25 / Max: 6758595Min: 6596089 / Avg: 6676257 / Max: 6783324Min: 7609059 / Avg: 7638790.67 / Max: 7679626Min: 7596842 / Avg: 7630211 / Max: 76771111. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra100200300400500SE +/- 0.58, N = 3SE +/- 0.20, N = 3SE +/- 0.47, N = 3SE +/- 1.21, N = 3446.67449.18447.70447.351. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra80160240320400Min: 445.7 / Avg: 446.67 / Max: 447.71Min: 448.82 / Avg: 449.18 / Max: 449.5Min: 446.78 / Avg: 447.7 / Max: 448.34Min: 445.08 / Avg: 447.35 / Max: 449.221. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra8K16K24K32K40KSE +/- 114.31, N = 3SE +/- 105.68, N = 3SE +/- 184.36, N = 3SE +/- 77.23, N = 339367.1639516.4439353.7539480.891. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra7K14K21K28K35KMin: 39242.55 / Avg: 39367.16 / Max: 39595.46Min: 39305.14 / Avg: 39516.44 / Max: 39626.07Min: 38985.74 / Avg: 39353.75 / Max: 39557.39Min: 39377.66 / Avg: 39480.89 / Max: 39632.011. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5001000150020002500SE +/- 1.19, N = 3SE +/- 2.70, N = 3SE +/- 2.23, N = 3SE +/- 1.45, N = 32281.752277.992278.502281.781. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000Min: 2279.45 / Avg: 2281.75 / Max: 2283.4Min: 2274.64 / Avg: 2277.99 / Max: 2283.34Min: 2275.12 / Avg: 2278.5 / Max: 2282.71Min: 2279.21 / Avg: 2281.78 / Max: 2284.231. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150SE +/- 0.55, N = 3SE +/- 0.29, N = 3SE +/- 0.31, N = 3SE +/- 0.59, N = 3118.82118.26115.76117.951. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 117.72 / Avg: 118.82 / Max: 119.45Min: 117.72 / Avg: 118.26 / Max: 118.72Min: 115.16 / Avg: 115.76 / Max: 116.16Min: 116.98 / Avg: 117.95 / Max: 119.021. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30K60K90K120K150KSE +/- 143.47, N = 3SE +/- 127.34, N = 3SE +/- 66.48, N = 3SE +/- 7.27, N = 3148344.17148607.54147737.00147411.871. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra30K60K90K120K150KMin: 148078.26 / Avg: 148344.17 / Max: 148570.48Min: 148421.1 / Avg: 148607.54 / Max: 148851.02Min: 147607.48 / Avg: 147737 / Max: 147827.79Min: 147402.22 / Avg: 147411.87 / Max: 147426.11. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra15K30K45K60K75KSE +/- 3.37, N = 3SE +/- 1.44, N = 3SE +/- 2.98, N = 3SE +/- 1.90, N = 371485.2171482.3571489.9271483.061. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12K24K36K48K60KMin: 71480 / Avg: 71485.21 / Max: 71491.51Min: 71480.16 / Avg: 71482.35 / Max: 71485.07Min: 71484.47 / Avg: 71489.92 / Max: 71494.73Min: 71480.91 / Avg: 71483.06 / Max: 71486.851. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data SortingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150SE +/- 0.21, N = 3SE +/- 1.28, N = 3SE +/- 0.87, N = 3SE +/- 1.14, N = 3134.36134.11134.25133.341. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data SortingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150Min: 134.1 / Avg: 134.36 / Max: 134.77Min: 131.9 / Avg: 134.11 / Max: 136.33Min: 132.57 / Avg: 134.25 / Max: 135.5Min: 132.13 / Avg: 133.34 / Max: 135.631. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra11002200330044005500SE +/- 4.17, N = 3SE +/- 16.77, N = 3SE +/- 13.39, N = 3SE +/- 12.12, N = 35072.035078.155081.015048.221. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra9001800270036004500Min: 5064.03 / Avg: 5072.03 / Max: 5078.05Min: 5057.01 / Avg: 5078.15 / Max: 5111.27Min: 5054.32 / Avg: 5081.01 / Max: 5096.19Min: 5024.3 / Avg: 5048.22 / Max: 5063.541. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra120K240K360K480K600KSE +/- 2244.33, N = 3SE +/- 2907.89, N = 3SE +/- 2014.93, N = 3SE +/- 1821.33, N = 3570298.09573119.85575041.49576312.161. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra100K200K300K400K500KMin: 565809.59 / Avg: 570298.09 / Max: 572575.99Min: 567914.3 / Avg: 573119.85 / Max: 577968.53Min: 572899.38 / Avg: 575041.49 / Max: 579068.62Min: 572682.79 / Avg: 576312.16 / Max: 578396.191. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra900K1800K2700K3600K4500KSE +/- 11847.64, N = 3SE +/- 19009.50, N = 3SE +/- 5248.88, N = 3SE +/- 19983.41, N = 34261220.914260848.254293892.254288848.591. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra700K1400K2100K2800K3500KMin: 4244361.15 / Avg: 4261220.91 / Max: 4284069.9Min: 4235473.74 / Avg: 4260848.25 / Max: 4298054.56Min: 4288517.96 / Avg: 4293892.25 / Max: 4304389Min: 4255474.94 / Avg: 4288848.59 / Max: 4324579.031. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra13002600390052006500SE +/- 55.27, N = 3SE +/- 48.96, N = 3SE +/- 33.48, N = 3SE +/- 39.32, N = 35879.295964.255955.265972.681. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra10002000300040005000Min: 5769.22 / Avg: 5879.29 / Max: 5943.1Min: 5890.44 / Avg: 5964.25 / Max: 6056.89Min: 5908.25 / Avg: 5955.26 / Max: 6020.06Min: 5906.89 / Avg: 5972.68 / Max: 6042.91. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra300K600K900K1200K1500KSE +/- 7307.03, N = 3SE +/- 3067.85, N = 3SE +/- 18832.11, N = 3SE +/- 736.68, N = 31147874.841141024.841169255.411139913.861. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra200K400K600K800K1000KMin: 1137813.91 / Avg: 1147874.84 / Max: 1162084.7Min: 1137466.87 / Avg: 1141024.84 / Max: 1147132.88Min: 1140285.7 / Avg: 1169255.41 / Max: 1204585.21Min: 1138747.05 / Avg: 1139913.86 / Max: 1141276.371. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra8K16K24K32K40KSE +/- 141.54, N = 3SE +/- 24.33, N = 3SE +/- 178.62, N = 3SE +/- 217.80, N = 336505.9536468.0236285.4036301.301. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra6K12K18K24K30KMin: 36249.97 / Avg: 36505.95 / Max: 36738.6Min: 36422.3 / Avg: 36468.02 / Max: 36505.3Min: 35969.56 / Avg: 36285.4 / Max: 36587.9Min: 35887.07 / Avg: 36301.3 / Max: 36625.11. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra110K220K330K440K550KSE +/- 114.36, N = 3SE +/- 215.15, N = 3SE +/- 67.11, N = 3SE +/- 90.94, N = 3508333.11508219.03508189.34508516.461. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra90K180K270K360K450KMin: 508180.58 / Avg: 508333.11 / Max: 508556.98Min: 507805.42 / Avg: 508219.03 / Max: 508528.6Min: 508115.53 / Avg: 508189.34 / Max: 508323.33Min: 508393.25 / Avg: 508516.46 / Max: 508693.921. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.811.622.433.244.05SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.603.593.593.581. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 3.6 / Avg: 3.6 / Max: 3.61Min: 3.58 / Avg: 3.59 / Max: 3.6Min: 3.58 / Avg: 3.59 / Max: 3.6Min: 3.57 / Avg: 3.58 / Max: 3.591. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400K800K1200K1600K2000KSE +/- 21990.58, N = 15SE +/- 20826.54, N = 3SE +/- 8623.36, N = 3SE +/- 77159.71, N = 121877633.451234877.791260811.791569708.371. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra300K600K900K1200K1500KMin: 1706757.62 / Avg: 1877633.45 / Max: 2016129.12Min: 1193317.38 / Avg: 1234877.79 / Max: 1258062.88Min: 1245648.88 / Avg: 1260811.79 / Max: 1275510.25Min: 1154882.25 / Avg: 1569708.37 / Max: 19157701. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra14002800420056007000SE +/- 77.36, N = 3SE +/- 56.48, N = 3SE +/- 13.83, N = 3SE +/- 19.75, N = 36357.66359.76676.86693.01. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12002400360048006000Min: 6277 / Avg: 6357.63 / Max: 6512.3Min: 6302.8 / Avg: 6359.73 / Max: 6472.7Min: 6654.2 / Avg: 6676.8 / Max: 6701.9Min: 6653.7 / Avg: 6693.03 / Max: 6715.81. (CC) gcc options: -O3 -pthread -lz -llzma

rav1e

Xiph rav1e is a Rust-written AV1 video encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.72181.44362.16542.88723.609SE +/- 0.017, N = 3SE +/- 0.009, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 33.2083.1963.1973.166
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 3.18 / Avg: 3.21 / Max: 3.24Min: 3.18 / Avg: 3.2 / Max: 3.21Min: 3.19 / Avg: 3.2 / Max: 3.2Min: 3.16 / Avg: 3.17 / Max: 3.18

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430SE +/- 0.21, N = 3SE +/- 0.24, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 323.3223.4823.1023.11
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025Min: 23.1 / Avg: 23.32 / Max: 23.75Min: 23.23 / Avg: 23.48 / Max: 23.95Min: 23.08 / Avg: 23.1 / Max: 23.13Min: 23.1 / Avg: 23.11 / Max: 23.14

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.71061.42122.13182.84243.553SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.007, N = 33.1483.1583.1443.1531. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 3.14 / Avg: 3.15 / Max: 3.17Min: 3.15 / Avg: 3.16 / Max: 3.16Min: 3.13 / Avg: 3.14 / Max: 3.16Min: 3.14 / Avg: 3.15 / Max: 3.171. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 326.5526.4426.5326.49
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430Min: 26.5 / Avg: 26.55 / Max: 26.62Min: 26.3 / Avg: 26.44 / Max: 26.53Min: 26.37 / Avg: 26.53 / Max: 26.61Min: 26.43 / Avg: 26.48 / Max: 26.56

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra90180270360450SE +/- 0.97, N = 3SE +/- 0.04, N = 3SE +/- 0.83, N = 3SE +/- 0.44, N = 3435.22434.73435.89435.74MIN: 345.23 / MAX: 592.78MIN: 345.3 / MAX: 579.61MIN: 345.59 / MAX: 589.65MIN: 345.43 / MAX: 590.091. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra80160240320400Min: 433.28 / Avg: 435.22 / Max: 436.24Min: 434.66 / Avg: 434.73 / Max: 434.78Min: 434.63 / Avg: 435.89 / Max: 437.46Min: 434.97 / Avg: 435.74 / Max: 436.51. (CC) gcc options: -pthread

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400K800K1200K1600K2000KSE +/- 24339.92, N = 3SE +/- 19752.41, N = 5SE +/- 19916.88, N = 6SE +/- 18942.78, N = 151706373.291601756.531657029.291638041.741. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra300K600K900K1200K1500KMin: 1664159.75 / Avg: 1706373.29 / Max: 1748475.5Min: 1540930.75 / Avg: 1601756.53 / Max: 1647551.88Min: 1592356.62 / Avg: 1657029.29 / Max: 1718378Min: 1562500 / Avg: 1638041.74 / Max: 1788908.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

PostgreSQL pgbench

This is a benchmark of PostgreSQL using pgbench for facilitating the database benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.19530.39060.58590.78120.9765SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 30.8650.8670.8680.8681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 0.86 / Avg: 0.86 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra60K120K180K240K300KSE +/- 699.75, N = 3SE +/- 425.94, N = 3SE +/- 502.62, N = 3SE +/- 558.88, N = 32892502882842880972882111. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50K100K150K200K250KMin: 287934.86 / Avg: 289249.52 / Max: 290322.44Min: 287432.34 / Avg: 288284.15 / Max: 288719.68Min: 287574.91 / Avg: 288097.28 / Max: 289102.25Min: 287169.04 / Avg: 288211.42 / Max: 289082.051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835SE +/- 0.39, N = 3SE +/- 0.53, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 332.2532.0231.4131.961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835Min: 31.72 / Avg: 32.25 / Max: 33.01Min: 31.27 / Avg: 32.02 / Max: 33.05Min: 31.26 / Avg: 31.41 / Max: 31.64Min: 31.7 / Avg: 31.96 / Max: 32.211. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra7001400210028003500SE +/- 37.02, N = 3SE +/- 51.29, N = 3SE +/- 12.04, N = 3SE +/- 14.45, N = 331033127318531311. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra6001200180024003000Min: 3031.11 / Avg: 3102.85 / Max: 3154.53Min: 3027.5 / Avg: 3126.55 / Max: 3199.16Min: 3161.53 / Avg: 3185.13 / Max: 3201.07Min: 3106.04 / Avg: 3130.92 / Max: 3156.091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 312.4312.5012.4512.441. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620Min: 12.37 / Avg: 12.43 / Max: 12.53Min: 12.45 / Avg: 12.5 / Max: 12.54Min: 12.4 / Avg: 12.45 / Max: 12.49Min: 12.37 / Avg: 12.44 / Max: 12.51. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra9001800270036004500SE +/- 17.05, N = 3SE +/- 8.79, N = 3SE +/- 7.68, N = 3SE +/- 12.28, N = 340254001401840221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra7001400210028003500Min: 3990.96 / Avg: 4025.06 / Max: 4042.35Min: 3987.75 / Avg: 4001.16 / Max: 4017.71Min: 4005.49 / Avg: 4018.46 / Max: 4032.07Min: 4002.38 / Avg: 4021.71 / Max: 4044.51. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.07940.15880.23820.31760.397SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3530.3520.3530.3511. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.36Min: 0.35 / Avg: 0.35 / Max: 0.351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra60K120K180K240K300KSE +/- 696.10, N = 3SE +/- 568.22, N = 3SE +/- 783.20, N = 3SE +/- 438.49, N = 32834612838182829712850331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50K100K150K200K250KMin: 282313.03 / Avg: 283461.2 / Max: 284717.17Min: 282774.66 / Avg: 283818.27 / Max: 284729.65Min: 281467.73 / Avg: 282971.08 / Max: 284103.76Min: 284214.27 / Avg: 285032.93 / Max: 285714.611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.0430.0860.1290.1720.215SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.1910.1910.1900.1891. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra60K120K180K240K300KSE +/- 1088.21, N = 3SE +/- 965.23, N = 3SE +/- 1179.30, N = 3SE +/- 716.76, N = 32626382614472627052638161. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50K100K150K200K250KMin: 260467 / Avg: 262637.99 / Max: 263856.55Min: 259561.55 / Avg: 261446.94 / Max: 262748.77Min: 260412.82 / Avg: 262705.28 / Max: 264331.82Min: 262525.96 / Avg: 263816.36 / Max: 265002.31. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.00810.01620.02430.03240.0405SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0360.0360.0360.0351. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra6K12K18K24K30KSE +/- 175.38, N = 3SE +/- 465.68, N = 3SE +/- 238.77, N = 3SE +/- 253.82, N = 3281552815228044285971. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5K10K15K20K25KMin: 27955.47 / Avg: 28155.32 / Max: 28504.89Min: 27376.6 / Avg: 28151.75 / Max: 28986.48Min: 27725.55 / Avg: 28044.07 / Max: 28511.45Min: 28095.77 / Avg: 28596.58 / Max: 28918.881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.05870.11740.17610.23480.2935SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.2610.2610.2590.2601. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.26 / Avg: 0.26 / Max: 0.261. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra8001600240032004000SE +/- 23.39, N = 3SE +/- 4.36, N = 3SE +/- 5.91, N = 3SE +/- 14.49, N = 338303829386038481. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra7001400210028003500Min: 3802.34 / Avg: 3829.67 / Max: 3876.22Min: 3820.63 / Avg: 3828.84 / Max: 3835.49Min: 3853.58 / Avg: 3860.38 / Max: 3872.15Min: 3826.93 / Avg: 3848.02 / Max: 3875.771. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 323.7623.7023.6823.671. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430Min: 23.74 / Avg: 23.76 / Max: 23.78Min: 23.66 / Avg: 23.7 / Max: 23.75Min: 23.64 / Avg: 23.68 / Max: 23.74Min: 23.66 / Avg: 23.67 / Max: 23.691. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 324.3024.2724.2724.231. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430Min: 24.28 / Avg: 24.3 / Max: 24.32Min: 24.24 / Avg: 24.27 / Max: 24.31Min: 24.2 / Avg: 24.27 / Max: 24.33Min: 24.19 / Avg: 24.23 / Max: 24.281. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150SE +/- 0.27, N = 3SE +/- 0.30, N = 3SE +/- 0.28, N = 3SE +/- 0.17, N = 3153.45153.76154.61154.34MIN: 141.09 / MAX: 171.46MIN: 138.27 / MAX: 172.5MIN: 142.35 / MAX: 173.39MIN: 142.28 / MAX: 174.211. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150Min: 153.13 / Avg: 153.45 / Max: 153.99Min: 153.24 / Avg: 153.76 / Max: 154.3Min: 154.05 / Avg: 154.61 / Max: 155Min: 154.01 / Avg: 154.34 / Max: 154.531. (CC) gcc options: -pthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 326.5626.6726.7426.321. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430Min: 26.47 / Avg: 26.56 / Max: 26.71Min: 26.58 / Avg: 26.67 / Max: 26.83Min: 26.71 / Avg: 26.74 / Max: 26.76Min: 26.21 / Avg: 26.32 / Max: 26.391. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Coremark

This is a test of EEMBC CoreMark processor benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra70K140K210K280K350KSE +/- 1294.24, N = 3SE +/- 391.98, N = 3SE +/- 191.93, N = 3SE +/- 990.87, N = 3342873.01341103.80343035.00342379.901. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra60K120K180K240K300KMin: 341078.66 / Avg: 342873.01 / Max: 345385.86Min: 340552.33 / Avg: 341103.8 / Max: 341862.08Min: 342685.8 / Avg: 343035 / Max: 343347.64Min: 340407.43 / Avg: 342379.9 / Max: 343531.941. (CC) gcc options: -O2 -lrt" -lrt

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 321.7421.8621.7021.811. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025Min: 21.48 / Avg: 21.74 / Max: 22.02Min: 21.74 / Avg: 21.86 / Max: 21.96Min: 21.37 / Avg: 21.7 / Max: 22.05Min: 21.73 / Avg: 21.81 / Max: 21.861. (CXX) g++ options: -O2 -lOpenCL

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.52651.0531.57952.1062.6325SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.322.312.342.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 2.3 / Avg: 2.32 / Max: 2.33Min: 2.31 / Avg: 2.31 / Max: 2.31Min: 2.33 / Avg: 2.34 / Max: 2.35Min: 2.31 / Avg: 2.31 / Max: 2.321. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.06327, N = 3SE +/- 0.11553, N = 3SE +/- 0.02172, N = 3SE +/- 0.02232, N = 37.798947.367257.164037.19763MIN: 7.56MIN: 7.08MIN: 6.96MIN: 6.931. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 7.68 / Avg: 7.8 / Max: 7.89Min: 7.25 / Avg: 7.37 / Max: 7.6Min: 7.12 / Avg: 7.16 / Max: 7.2Min: 7.15 / Avg: 7.2 / Max: 7.221. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 320.1120.1320.1020.121. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra510152025Min: 20.1 / Avg: 20.11 / Max: 20.13Min: 20.12 / Avg: 20.13 / Max: 20.14Min: 20.09 / Avg: 20.1 / Max: 20.12Min: 20.06 / Avg: 20.12 / Max: 20.181. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5001000150020002500SE +/- 0.12, N = 3SE +/- 0.19, N = 3SE +/- 0.69, N = 3SE +/- 0.62, N = 32293.22294.42294.32293.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra400800120016002000Min: 2293 / Avg: 2293.2 / Max: 2293.4Min: 2294 / Avg: 2294.37 / Max: 2294.6Min: 2293.3 / Avg: 2294.27 / Max: 2295.6Min: 2292.3 / Avg: 2293.53 / Max: 2294.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra60120180240300SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.34, N = 3273.44273.37273.46273.24MIN: 272.28 / MAX: 285.42MIN: 272.11 / MAX: 283.88MIN: 272.45 / MAX: 291.85MIN: 272.08 / MAX: 281.811. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50100150200250Min: 273.21 / Avg: 273.44 / Max: 273.61Min: 273.15 / Avg: 273.37 / Max: 273.57Min: 273.21 / Avg: 273.46 / Max: 273.59Min: 272.77 / Avg: 273.24 / Max: 273.911. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.31862.63723.95585.27446.593SE +/- 0.06096, N = 15SE +/- 0.04122, N = 15SE +/- 0.01110, N = 3SE +/- 0.00474, N = 35.860615.363964.955264.95025MIN: 5.3MIN: 5.04MIN: 4.84MIN: 4.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 5.45 / Avg: 5.86 / Max: 6.25Min: 5.16 / Avg: 5.36 / Max: 5.64Min: 4.93 / Avg: 4.96 / Max: 4.97Min: 4.94 / Avg: 4.95 / Max: 4.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Sockperf

This is a network socket API performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra120K240K360K480K600KSE +/- 4970.34, N = 5SE +/- 4632.44, N = 12SE +/- 6772.14, N = 5SE +/- 4252.07, N = 55373965367335459975473011. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra90K180K270K360K450KMin: 526337 / Avg: 537395.6 / Max: 555579Min: 494296 / Avg: 536733.17 / Max: 553686Min: 532566 / Avg: 545996.6 / Max: 570728Min: 535283 / Avg: 547301 / Max: 5612821. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra60120180240300SE +/- 0.46, N = 3SE +/- 0.76, N = 3SE +/- 0.51, N = 3SE +/- 1.01, N = 3264.46264.05264.27263.15MIN: 260.85 / MAX: 275.05MIN: 261.03 / MAX: 266.67MIN: 260.84 / MAX: 274.35MIN: 260.96 / MAX: 265.891. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra50100150200250Min: 263.57 / Avg: 264.46 / Max: 265.05Min: 262.64 / Avg: 264.05 / Max: 265.27Min: 263.27 / Avg: 264.27 / Max: 264.89Min: 261.92 / Avg: 263.15 / Max: 265.141. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra816243240SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 333.4133.6733.8533.801. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra714212835Min: 33.33 / Avg: 33.41 / Max: 33.48Min: 33.65 / Avg: 33.67 / Max: 33.71Min: 33.79 / Avg: 33.85 / Max: 33.89Min: 33.74 / Avg: 33.8 / Max: 33.891. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 317.6117.7217.4717.601. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620Min: 17.33 / Avg: 17.61 / Max: 17.76Min: 17.47 / Avg: 17.72 / Max: 17.89Min: 17.32 / Avg: 17.47 / Max: 17.67Min: 17.59 / Avg: 17.6 / Max: 17.61. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 317.5617.6017.5617.55
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra48121620Min: 17.54 / Avg: 17.56 / Max: 17.59Min: 17.58 / Avg: 17.6 / Max: 17.62Min: 17.49 / Avg: 17.56 / Max: 17.6Min: 17.53 / Avg: 17.55 / Max: 17.59

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.70551.4112.11652.8223.5275SE +/- 0.02189, N = 3SE +/- 0.01577, N = 3SE +/- 0.00070, N = 3SE +/- 0.00248, N = 33.135702.960582.792582.78679MIN: 3.04MIN: 2.89MIN: 2.75MIN: 2.741. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 3.1 / Avg: 3.14 / Max: 3.18Min: 2.94 / Avg: 2.96 / Max: 2.99Min: 2.79 / Avg: 2.79 / Max: 2.79Min: 2.78 / Avg: 2.79 / Max: 2.791. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 323.9623.9924.0023.921. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra612182430Min: 23.9 / Avg: 23.96 / Max: 24.04Min: 23.86 / Avg: 23.99 / Max: 24.07Min: 23.9 / Avg: 24 / Max: 24.07Min: 23.89 / Avg: 23.92 / Max: 23.941. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1122334455SE +/- 0.27, N = 3SE +/- 0.25, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 347.9348.5048.8148.431. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1020304050Min: 47.52 / Avg: 47.93 / Max: 48.43Min: 48.24 / Avg: 48.5 / Max: 49Min: 48.65 / Avg: 48.81 / Max: 48.99Min: 48.15 / Avg: 48.43 / Max: 48.861. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.43330.86661.29991.73322.1665SE +/- 0.03239, N = 3SE +/- 0.01560, N = 3SE +/- 0.00172, N = 3SE +/- 0.00197, N = 31.925611.483741.161481.16093MIN: 1.81MIN: 1.41MIN: 1.14MIN: 1.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.86 / Avg: 1.93 / Max: 1.96Min: 1.45 / Avg: 1.48 / Max: 1.5Min: 1.16 / Avg: 1.16 / Max: 1.16Min: 1.16 / Avg: 1.16 / Max: 1.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.84581.69162.53743.38324.229SE +/- 0.04055, N = 3SE +/- 0.00981, N = 3SE +/- 0.00163, N = 3SE +/- 0.00540, N = 33.759193.603213.571953.57593MIN: 3.63MIN: 3.53MIN: 3.52MIN: 3.451. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 3.72 / Avg: 3.76 / Max: 3.84Min: 3.59 / Avg: 3.6 / Max: 3.62Min: 3.57 / Avg: 3.57 / Max: 3.57Min: 3.57 / Avg: 3.58 / Max: 3.591. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Redis

Redis is an open-source data structure server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra300K600K900K1200K1500KSE +/- 12278.41, N = 3SE +/- 16842.56, N = 4SE +/- 14430.31, N = 3SE +/- 11292.50, N = 31148943.161163344.781152592.121181018.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra200K400K600K800K1000KMin: 1126270.25 / Avg: 1148943.16 / Max: 1168448.62Min: 1135182.75 / Avg: 1163344.78 / Max: 1206388.38Min: 1130052 / Avg: 1152592.12 / Max: 1179471.75Min: 1163162.75 / Avg: 1181018.38 / Max: 12019231. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1224364860SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 354.6654.5154.7254.821. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1122334455Min: 54.52 / Avg: 54.66 / Max: 54.87Min: 54.44 / Avg: 54.51 / Max: 54.55Min: 54.42 / Avg: 54.72 / Max: 54.94Min: 54.44 / Avg: 54.82 / Max: 55.111. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra80160240320400SE +/- 1.45, N = 3SE +/- 0.70, N = 3SE +/- 0.68, N = 3SE +/- 0.92, N = 3390.17388.22391.02389.36MIN: 310.85 / MAX: 422.85MIN: 314.58 / MAX: 417.18MIN: 313.28 / MAX: 420.51MIN: 320.11 / MAX: 418.641. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra70140210280350Min: 388.46 / Avg: 390.17 / Max: 393.05Min: 386.83 / Avg: 388.22 / Max: 388.95Min: 389.74 / Avg: 391.02 / Max: 392.06Min: 387.75 / Avg: 389.36 / Max: 390.931. (CC) gcc options: -pthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.45660.91321.36981.82642.283SE +/- 0.001495, N = 3SE +/- 0.007682, N = 3SE +/- 0.003683, N = 3SE +/- 0.005919, N = 32.0295101.9750900.7825250.782350MIN: 1.8MIN: 1.7MIN: 0.74MIN: 0.731. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 1.97 / Avg: 1.98 / Max: 1.99Min: 0.78 / Avg: 0.78 / Max: 0.79Min: 0.77 / Avg: 0.78 / Max: 0.791. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.01063, N = 3SE +/- 0.00332, N = 3SE +/- 0.01060, N = 3SE +/- 0.01437, N = 35.644205.761466.140966.13191MIN: 5.36MIN: 5.41MIN: 5.98MIN: 5.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 5.63 / Avg: 5.64 / Max: 5.66Min: 5.76 / Avg: 5.76 / Max: 5.77Min: 6.13 / Avg: 6.14 / Max: 6.16Min: 6.11 / Avg: 6.13 / Max: 6.151. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.051, N = 3SE +/- 0.080, N = 3SE +/- 0.041, N = 3SE +/- 0.053, N = 38.9868.8858.8719.1291. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 8.9 / Avg: 8.99 / Max: 9.08Min: 8.81 / Avg: 8.89 / Max: 9.05Min: 8.79 / Avg: 8.87 / Max: 8.91Min: 9.03 / Avg: 9.13 / Max: 9.21. (CC) gcc options: -std=c99 -O3 -lm -lpthread

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.758.768.808.811. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 8.75 / Avg: 8.75 / Max: 8.76Min: 8.75 / Avg: 8.76 / Max: 8.76Min: 8.79 / Avg: 8.8 / Max: 8.81Min: 8.8 / Avg: 8.81 / Max: 8.821. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.014, N = 3SE +/- 0.014, N = 3SE +/- 0.016, N = 3SE +/- 0.022, N = 37.9577.9438.0558.0731. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 7.93 / Avg: 7.96 / Max: 7.97Min: 7.93 / Avg: 7.94 / Max: 7.97Min: 8.03 / Avg: 8.06 / Max: 8.09Min: 8.05 / Avg: 8.07 / Max: 8.121. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.004, N = 3SE +/- 0.020, N = 3SE +/- 0.008, N = 3SE +/- 0.044, N = 37.7197.7377.7437.7771. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 7.71 / Avg: 7.72 / Max: 7.73Min: 7.71 / Avg: 7.74 / Max: 7.78Min: 7.73 / Avg: 7.74 / Max: 7.76Min: 7.73 / Avg: 7.78 / Max: 7.871. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150SE +/- 0.59, N = 3SE +/- 0.53, N = 3SE +/- 0.42, N = 3SE +/- 1.33, N = 7120.09119.54120.75118.121. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 119.38 / Avg: 120.09 / Max: 121.26Min: 118.53 / Avg: 119.54 / Max: 120.31Min: 120.07 / Avg: 120.75 / Max: 121.53Min: 110.25 / Avg: 118.12 / Max: 120.411. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100SE +/- 0.45, N = 3SE +/- 0.11, N = 3SE +/- 0.50, N = 3SE +/- 1.64, N = 399.1298.9398.6795.761. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 98.64 / Avg: 99.12 / Max: 100.02Min: 98.72 / Avg: 98.93 / Max: 99.08Min: 97.7 / Avg: 98.67 / Max: 99.39Min: 93.34 / Avg: 95.76 / Max: 98.91. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.53716, N = 15SE +/- 0.11207, N = 4SE +/- 0.00414, N = 3SE +/- 0.00229, N = 311.212698.170786.428366.42533MIN: 9.25MIN: 7.86MIN: 6.39MIN: 6.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 9.3 / Avg: 11.21 / Max: 15.38Min: 7.92 / Avg: 8.17 / Max: 8.46Min: 6.42 / Avg: 6.43 / Max: 6.44Min: 6.42 / Avg: 6.43 / Max: 6.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215SE +/- 0.04221, N = 3SE +/- 0.04483, N = 3SE +/- 0.11925, N = 3SE +/- 0.04001, N = 310.005849.976569.530359.43839MIN: 9.52MIN: 9.46MIN: 8.92MIN: 8.941. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 9.92 / Avg: 10.01 / Max: 10.05Min: 9.89 / Avg: 9.98 / Max: 10.04Min: 9.35 / Avg: 9.53 / Max: 9.76Min: 9.36 / Avg: 9.44 / Max: 9.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.20892.41783.62674.83566.0445SE +/- 0.026, N = 3SE +/- 0.018, N = 3SE +/- 0.008, N = 3SE +/- 0.016, N = 35.3325.3055.3385.373
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 5.28 / Avg: 5.33 / Max: 5.36Min: 5.29 / Avg: 5.31 / Max: 5.34Min: 5.33 / Avg: 5.34 / Max: 5.36Min: 5.35 / Avg: 5.37 / Max: 5.4

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100SE +/- 0.25, N = 3SE +/- 0.28, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 397.6598.2696.9397.281. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 97.34 / Avg: 97.65 / Max: 98.15Min: 97.95 / Avg: 98.26 / Max: 98.82Min: 96.57 / Avg: 96.93 / Max: 97.45Min: 97.08 / Avg: 97.28 / Max: 97.661. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.23372.46743.70114.93486.1685SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 35.4275.4235.4645.483
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 5.41 / Avg: 5.43 / Max: 5.43Min: 5.42 / Avg: 5.42 / Max: 5.43Min: 5.46 / Avg: 5.46 / Max: 5.47Min: 5.48 / Avg: 5.48 / Max: 5.49

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.016.016.066.071. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 6 / Avg: 6.01 / Max: 6.02Min: 6.01 / Avg: 6.01 / Max: 6.02Min: 6.05 / Avg: 6.06 / Max: 6.06Min: 6.06 / Avg: 6.07 / Max: 6.091. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810SE +/- 0.135, N = 12SE +/- 0.009, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 36.3096.4696.4516.4411. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra3691215Min: 4.82 / Avg: 6.31 / Max: 6.47Min: 6.45 / Avg: 6.47 / Max: 6.48Min: 6.45 / Avg: 6.45 / Max: 6.46Min: 6.43 / Avg: 6.44 / Max: 6.451. (CXX) g++ options: -O3 -pthread -lm

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra306090120150SE +/- 0.41, N = 3SE +/- 0.66, N = 3SE +/- 0.52, N = 3SE +/- 1.09, N = 3125.19127.19126.94124.661. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra20406080100Min: 124.4 / Avg: 125.19 / Max: 125.76Min: 126.02 / Avg: 127.19 / Max: 128.31Min: 125.92 / Avg: 126.94 / Max: 127.61Min: 122.88 / Avg: 124.66 / Max: 126.641. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.75941.51882.27823.03763.797SE +/- 0.005, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.001, N = 33.3403.3383.3693.375
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 3.33 / Avg: 3.34 / Max: 3.35Min: 3.33 / Avg: 3.34 / Max: 3.35Min: 3.36 / Avg: 3.37 / Max: 3.38Min: 3.37 / Avg: 3.37 / Max: 3.38

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra1.28022.56043.84065.12086.401SE +/- 0.01136, N = 3SE +/- 0.00776, N = 3SE +/- 0.00182, N = 3SE +/- 0.00332, N = 35.665405.689565.576555.58098MIN: 5.61MIN: 5.65MIN: 5.54MIN: 5.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 5.65 / Avg: 5.67 / Max: 5.69Min: 5.67 / Avg: 5.69 / Max: 5.7Min: 5.57 / Avg: 5.58 / Max: 5.58Min: 5.57 / Avg: 5.58 / Max: 5.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.56271.12541.68812.25082.8135SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 32.4882.4872.4932.5011. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100EPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 2.49 / Avg: 2.49 / Max: 2.49Min: 2.49 / Avg: 2.49 / Max: 2.49Min: 2.49 / Avg: 2.49 / Max: 2.5Min: 2.5 / Avg: 2.5 / Max: 2.51. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12K24K36K48K60KSE +/- 330.67, N = 3SE +/- 105.56, N = 3SE +/- 129.45, N = 3SE +/- 65.56, N = 354125.4354246.2554124.5753901.571. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra9K18K27K36K45KMin: 53475.96 / Avg: 54125.43 / Max: 54558.16Min: 54040.75 / Avg: 54246.25 / Max: 54390.92Min: 53912.4 / Avg: 54124.57 / Max: 54359.15Min: 53813.48 / Avg: 53901.57 / Max: 54029.731. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.36410.72821.09231.45641.8205SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 31.6161.6141.6161.6181. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra246810Min: 1.62 / Avg: 1.62 / Max: 1.62Min: 1.61 / Avg: 1.61 / Max: 1.62Min: 1.62 / Avg: 1.62 / Max: 1.62Min: 1.62 / Avg: 1.62 / Max: 1.621. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra0.03350.0670.10050.1340.1675SE +/- 0.000, N = 3SE +/- 0.002, N = 5SE +/- 0.000, N = 3SE +/- 0.001, N = 30.1470.1490.1490.149
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra12345Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15

245 Results Shown

LAMMPS Molecular Dynamics Simulator
Blender
Basis Universal
Timed LLVM Compilation
Blender:
  Pabellon Barcelona - CPU-Only
  Classroom - CPU-Only
Timed Clash Compilation
AI Benchmark Alpha:
  Device AI Score
  Device Training Score
  Device Inference Score
Caffe
BRL-CAD
Numpy Benchmark
Rodinia
Hierarchical INTegration
Monte Carlo Simulations of Ionised Nebulae
ASTC Encoder
Blender
GPAW
SVT-AV1
asmFish
Caffe
GraphicsMagick
Blender
TensorFlow Lite
dav1d
Caffe
GROMACS
TensorFlow Lite
Rodinia
BYTE Unix Benchmark
x265
Timed HMMer Search
Build2
Kvazaar
NAMD
Kvazaar
Stress-NG
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  resnet-v2-50
  SqueezeNetV1.0
Apache CouchDB
Mlpack Benchmark
Rodinia
Stress-NG
oneDNN:
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
Timed Linux Kernel Compilation
oneDNN:
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
TensorFlow Lite
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer - Asian Dragon Obj
Caffe
KeyDB
Sockperf
OpenVINO:
  Person Detection 0106 FP16 - CPU:
    ms
    FPS
SQLite Speedtest
Chaos Group V-RAY
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    ms
    FPS
  Person Detection 0106 FP32 - CPU:
    ms
    FPS
  Face Detection 0106 FP32 - CPU:
    ms
    FPS
NCNN:
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
  CPU - squeezenet
Embree
Zstd Compression
LuxCoreRender
RawTherapee
LuxCoreRender
Sockperf
IndigoBench:
  CPU - Supercar
  CPU - Bedroom
TensorFlow Lite:
  SqueezeNet
  Mobilenet Quant
  Mobilenet Float
Embree
GraphicsMagick
Basis Universal
GraphicsMagick
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
GraphicsMagick
OpenVINO:
  Age Gender Recognition Retail 0013 FP32 - CPU:
    ms
    FPS
GraphicsMagick:
  Swirl
  Resizing
  HWB Color Space
Stockfish
LZ4 Compression:
  9 - Decompression Speed
  9 - Compression Speed
Mlpack Benchmark
LZ4 Compression:
  3 - Decompression Speed
  3 - Compression Speed
PostgreSQL pgbench:
  1 - 250 - Read Write - Average Latency
  1 - 250 - Read Write
Embree
Mlpack Benchmark
Embree
rav1e
Timed FFmpeg Compilation
rav1e
Basis Universal
Hugin
oneDNN
Redis
rav1e
eSpeak-NG Speech Engine
Rodinia
Sunflow Rendering System
Kvazaar
oneDNN
WebP Image Encode
AOM AV1
PostgreSQL pgbench:
  100 - 1 - Read Only - Average Latency
  100 - 1 - Read Only
LibRaw
PostgreSQL pgbench:
  100 - 250 - Read Only - Average Latency
  100 - 250 - Read Only
  100 - 100 - Read Only - Average Latency
  100 - 100 - Read Only
  100 - 1 - Read Write - Average Latency
  100 - 1 - Read Write
  100 - 250 - Read Write - Average Latency
  100 - 250 - Read Write
  100 - 100 - Read Write - Average Latency
  100 - 100 - Read Write
  100 - 50 - Read Only - Average Latency
  100 - 50 - Read Only
  100 - 50 - Read Write - Average Latency
  100 - 50 - Read Write
AOM AV1
Basis Universal
Redis
PHPBench
ASTC Encoder
LZ4 Compression:
  1 - Decompression Speed
  1 - Compression Speed
Stress-NG:
  CPU Stress
  NUMA
  Malloc
Crafty
Stress-NG:
  MEMFD
  Matrix Math
  Crypto
  MMAP
  SENDFILE
  Vector Math
  Glibc Qsort Data Sorting
  Memory Copying
  Glibc C String Functions
  Context Switching
  Socket Activity
  Semaphores
  Forking
  Atomic
AOM AV1
Redis
Zstd Compression
rav1e
Mlpack Benchmark
SVT-AV1
OCRMyPDF
dav1d
Redis
PostgreSQL pgbench:
  1 - 250 - Read Only - Average Latency
  1 - 250 - Read Only
  1 - 100 - Read Write - Average Latency
  1 - 100 - Read Write
  1 - 50 - Read Write - Average Latency
  1 - 50 - Read Write
  1 - 100 - Read Only - Average Latency
  1 - 100 - Read Only
  1 - 50 - Read Only - Average Latency
  1 - 50 - Read Only
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Only
  1 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
Kvazaar:
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
dav1d
Kvazaar
Coremark
Rodinia
AOM AV1
oneDNN
RNNoise
OpenSSL
TNN
oneDNN
Sockperf
TNN
AOM AV1
WebP Image Encode
Dolfyn
oneDNN
SVT-AV1
x265
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
Redis
Kvazaar
dav1d
oneDNN:
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 3D - f32 - CPU
Timed MAFFT Alignment
ASTC Encoder
Basis Universal
WebP Image Encode
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
oneDNN:
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
Darktable
Kvazaar
Darktable
ASTC Encoder
LAMMPS Molecular Dynamics Simulator
SVT-VP9
Darktable
oneDNN
WebP Image Encode
FFTE
WebP Image Encode
Darktable