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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 4 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
Chess Test Suite 3 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 20 Tests
Compression Tests 2 Tests
CPU Massive 30 Tests
Creator Workloads 26 Tests
Database Test Suite 5 Tests
Encoding 7 Tests
Fortran Tests 4 Tests
Game Development 3 Tests
HPC - High Performance Computing 21 Tests
Imaging 6 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 11 Tests
Molecular Dynamics 4 Tests
MPI Benchmarks 4 Tests
Multi-Core 28 Tests
NVIDIA GPU Compute 8 Tests
Intel oneAPI 3 Tests
OpenCL 2 Tests
OpenMPI Tests 5 Tests
Programmer / Developer System Benchmarks 6 Tests
Python 2 Tests
Renderers 4 Tests
Scientific Computing 9 Tests
Server 7 Tests
Server CPU Tests 18 Tests
Single-Threaded 6 Tests
Speech 2 Tests
Telephony 2 Tests
Texture Compression 2 Tests
Video Encoding 7 Tests
Common Workstation Benchmarks 4 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
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
Invert Hiding All Results Option
  16 Hours, 6 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


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 INTegrationRNNoiseOpenSSLMonte Carlo Simulations of Ionised NebulaeCaffe

EPYC 7F52sockperf: Throughputsockperf: Latency Ping Pongsockperf: Latency Under Loadrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0lammps: 20k Atomslammps: Rhodopsin Proteinwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionbyte: Dhrystone 2compress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedcompress-zstd: 3compress-zstd: 19libraw: Post-Processing Benchmarkcrafty: Elapsed Timegraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spaceonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUdav1d: Chimera 1080pdav1d: Summer Nature 4Kdav1d: Summer Nature 1080pdav1d: Chimera 1080p 10-bitaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimeembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastrav1e: 1rav1e: 5rav1e: 6rav1e: 10svt-av1: Enc Mode 0 - 1080psvt-av1: Enc Mode 4 - 1080psvt-av1: Enc Mode 8 - 1080psvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080px265: Bosphorus 4Kx265: Bosphorus 1080pcoremark: CoreMark Size 666 - Iterations Per Secondluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-clash: Time To Compilebuild-ffmpeg: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Time To Compilebuild2: Time To Compilenumpy: espeak: Text-To-Speech Synthesisrnnoise: openssl: RSA 4096-bit Performancecouchdb: 100 - 1000 - 24keydb: gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2pgbench: 1 - 1 - Read Onlypgbench: 1 - 1 - Read Only - Average Latencypgbench: 1 - 1 - Read Writepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 50 - Read Onlypgbench: 1 - 50 - Read Only - Average Latencypgbench: 1 - 100 - Read Onlypgbench: 1 - 100 - Read Only - Average Latencypgbench: 1 - 250 - Read Onlypgbench: 1 - 250 - Read Only - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 50 - Read Write - Average Latencypgbench: 100 - 1 - Read Onlypgbench: 100 - 1 - Read Only - Average Latencypgbench: 1 - 100 - Read Writepgbench: 1 - 100 - Read Write - Average Latencypgbench: 1 - 250 - Read Writepgbench: 1 - 250 - Read Write - Average Latencypgbench: 100 - 1 - Read Writepgbench: 100 - 1 - Read Write - Average Latencypgbench: 100 - 50 - Read Onlypgbench: 100 - 50 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 50 - Read Writepgbench: 100 - 50 - Read Write - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Write - Average Latencyastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3basis: UASTC Level 2 + RDO Post-Processingsqlite-speedtest: Timed Time - Size 1,000darktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Rack - CPU-onlydarktable: Server Room - CPU-onlyhugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentrawtherapee: Total Benchmark Timeredis: LPOPredis: SADDredis: LPUSHredis: GETredis: SETstress-ng: MMAPstress-ng: NUMAstress-ng: MEMFDstress-ng: Atomicstress-ng: Cryptostress-ng: Mallocstress-ng: Forkingstress-ng: SENDFILEstress-ng: CPU Cachestress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathstress-ng: Vector Mathstress-ng: Memory Copyingstress-ng: Socket Activitystress-ng: Context Switchingstress-ng: Glibc C String Functionsstress-ng: Glibc Qsort Data Sortingstress-ng: System V Message Passingcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200gpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUv-ray: CPUindigobench: CPU - Bedroomindigobench: CPU - Supercarblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyhint: FLOATai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorephpbench: PHP Benchmark Suitemlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionsunflow: Global Illumination + Image Synthesisbrl-cad: VGR Performance MetricEPYC 7F32AMD EPYC 7F32EPYC 7F32 AMDEPYC Extra5373964.9803.778244.28293.468130.26421.73717.8922.2420017.56254125.430373900116.3258.9862206.6386.3091.6162.48817.6067.71936.28540778410.09943.3411421.153.6210825.952.0210823.76357.645.035.41663365247041812119485124996013.14145.644203.135702.029515.860618.7858011.2126910.005847.798945.665403602.392011.453610.531987.381.925613602.411968.693.75919435.22153.45390.1795.720.292.3218.333.6033.419.98759.547810.959810.162010.91519.69365.555.6623.7624.3015.3526.5654.6697.650.3691.0921.4563.2080.1083.14823.956120.09125.1999.1210.1447.93342873.0087251.701.831881011424110950443.10454.27479.336580.93298.673367.1730.96320.1122293.2103.552432875.891.33320084328733971795611325321351702595253281550.03638300.2612626380.1912834610.3532892500.865402512.425239470.042310332.2532126117.70131480.3182071660.2412179400.4592179681.147193182.589209374.7781925312.9916.018.7526.72213.5853.9947.95732.33060.052655.51566.7195.4275.3320.1473.34053.04426.55060.0741877633.451535427.171148943.161706373.291339921.93118.82203.43446.67508333.112281.75123497348.0836505.95148344.1729.353114.041147874.8439367.1671485.215072.035879.294261220.91570298.09134.367156368.3169834139708169644339566203.5789.46034.1094.7786.56839.11518.3920.046.866.817.326.579.442.7417.4932.6111.908.6323.1428.62273.438264.4642.101905.772.091910.001.642423.081.642427.715053.820.775041.870.77140911.7973.889158.01459.40208.75684.91511.83347140109.1609712751127240261952653.8136.6723.322.221.3051252435367334.9644.041243.45292.238130.71721.85818.1232.2369617.59954246.250469200116.1288.8852206.6396.4691.6142.48717.7177.73736.27040836665.810035.7711462.054.0210757.451.2110851.16359.745.436.05667625749053612119590625010064.330575.761462.960581.975095.363967.258288.170789.976567.367255.689563538.581931.823511.701947.921.483743508.321938.013.60321434.73153.76388.2296.040.292.3118.363.5933.6710.08489.584410.848910.143310.86419.65645.555.6523.7024.2715.3126.6754.5198.260.3691.0931.4583.1960.1073.15823.991119.54127.1998.9310.0048.50341103.7995081.701.841868069024041474444.50654.53079.954576.929100.185369.4530.62620.1252294.4101.982425578.881.34120084228728231783121325101351852593953281520.03638290.2612614470.1912838180.3522882840.867400112.499237210.042312732.0181994125.59532140.3112069780.2412179140.4592185161.145193832.580209414.7781924412.9966.018.7626.71213.4154.0167.94332.35560.062655.67466.7765.4235.3050.1493.33853.25726.43860.1831234877.791561373.621163344.781601756.531345153.59118.26206.54449.18508219.032277.99123621581.5736468.02148607.5427.603123.991141024.8439516.4471482.355078.155964.254260848.25573119.85134.117224246.1769911139795169834339861203.7589.50134.2684.7416.54538.19318.4020.076.866.797.306.039.432.7316.6132.9111.788.6423.1428.67273.366264.0472.091914.542.101909.951.622436.121.642423.565048.830.775052.420.7714329155.35452.22206.98682.40506.43347082527.1883912681118238662815551.9836.6923.482.221.3421238365459974.5383.845243.54692.520130.30221.70018.4692.2353317.55654124.567422249115.8438.8712206.6266.4511.6162.49317.4687.74336.23940533065.49944.9411426.353.3610788.852.9710797.46676.846.535.8876387914946101221959182479604.446966.140962.792580.7825254.955264.958706.428369.530357.164035.576553427.911712.103426.431710.451.161483427.121712.413.57195435.89154.61391.0296.170.292.3418.343.5933.859.99999.676710.935810.147810.96999.71585.555.6623.6824.2715.3126.7454.7296.930.3681.0921.4533.1970.1073.14423.997120.75126.9498.6710.0548.81343035.0006751.711.811836449624266254444.99854.60979.853574.24398.584362.2131.15920.1002294.3103.023427606.941.34020093128736801774671324861351762595253280440.03638600.2592627050.1902829710.3532880970.868401812.445231950.043318531.4102054121.81231830.3142056960.2432167670.4612188571.143193202.588209764.7701919613.0296.068.8026.72213.5254.0918.05532.42460.172655.82267.6255.4645.3380.1493.36953.11926.53061.3401260811.791557960.001152592.121657029.291355336.78115.76204.56447.70508189.342278.50123864292.9436285.40147737.0024.083116.711169255.4139353.7571489.925081.015955.264293892.25575041.49134.257264968.4269827139856169763340191204.6109.45934.2814.7406.57038.32918.4720.036.956.767.276.589.402.7217.9832.7211.898.6223.6028.62273.456264.2712.091909.162.091913.241.622435.831.632435.385046.910.775039.060.7714163156.39454.27207.45685.52508.70347188909.7742512651125239061616152.1836.8023.102.231.3201248705473015.1904.223244.69991.941130.54121.81417.1282.2508517.55453901.567090648116.0189.1292206.6146.4411.6182.50117.5967.77736.51341368242.39975.4811453.752.9910819.152.4310758.06693.046.335.1776302114835771211949112439043.557836.131912.786790.7823504.950254.951616.425339.438397.197635.580983437.761716.853437.331709.401.160933429.751709.623.57593435.74154.34389.3696.060.292.3118.373.5833.8010.18399.669011.073210.159010.92009.71285.545.6523.6724.2315.3126.3254.8297.280.3671.0821.4413.1660.1073.15323.923118.12124.6695.7610.0448.43342379.9020241.701.821863382524094956447.69354.56480.012577.88798.549358.8730.64220.1212293.5103.503427035.991.33920095728734201780671325571351072596733285970.03538480.2602638160.1892850330.3512882110.868402212.435232400.043313131.9572045122.39632290.3102059020.2432178820.4592184281.145194082.577210124.7611930012.9596.078.8126.72213.7353.7138.07333.16260.135656.00167.6365.4835.3730.1493.37553.22526.48561.8121569708.371493525.211181018.381638041.741385522.21117.95204.44447.35508516.462281.78123537107.9836301.30147411.8727.003135.661139913.8639480.8971483.065048.225972.684288848.59576312.16133.347089085.9869898139557169756339476205.2169.44034.1824.6966.54338.40518.4920.016.836.787.286.599.412.7317.8332.8211.798.6423.2128.66273.242263.1522.091912.182.091911.681.632429.531.632429.725057.120.775032.670.7814204156.60454.65208.65684.87509.88346742589.9282912681125239362088453.7436.6523.112.231.324123682OpenBenchmarking.org

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32120K240K360K480K600KSE +/- 4252.07, N = 5SE +/- 6772.14, N = 5SE +/- 4970.34, N = 5SE +/- 4632.44, N = 125473015459975373965367331. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3290K180K270K360K450KMin: 535283 / Avg: 547301 / Max: 561282Min: 532566 / Avg: 545996.6 / Max: 570728Min: 526337 / Avg: 537395.6 / Max: 555579Min: 494296 / Avg: 536733.17 / Max: 5536861. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping PongEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.16782.33563.50344.67125.839SE +/- 0.335, N = 25SE +/- 0.327, N = 25SE +/- 0.346, N = 25SE +/- 0.347, N = 255.1904.5384.9804.9641. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping PongEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 3.17 / Avg: 5.19 / Max: 7.31Min: 3.16 / Avg: 4.54 / Max: 7.25Min: 3.18 / Avg: 4.98 / Max: 7.41Min: 3.17 / Avg: 4.96 / Max: 7.691. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under LoadEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.95021.90042.85063.80084.751SE +/- 0.384, N = 20SE +/- 0.052, N = 25SE +/- 0.067, N = 25SE +/- 0.110, N = 204.2233.8453.7784.0411. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread
OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under LoadEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 3.52 / Avg: 4.22 / Max: 11.43Min: 3.52 / Avg: 3.85 / Max: 4.37Min: 3.47 / Avg: 3.78 / Max: 5.05Min: 3.53 / Avg: 4.04 / Max: 5.151. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250100150200250SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.33, N = 3SE +/- 0.06, N = 3244.70243.55244.28243.451. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324080120160200Min: 244.65 / Avg: 244.7 / Max: 244.78Min: 243.39 / Avg: 243.55 / Max: 243.7Min: 243.76 / Avg: 244.28 / Max: 244.89Min: 243.34 / Avg: 243.45 / Max: 243.541. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100SE +/- 0.66, N = 3SE +/- 0.60, N = 3SE +/- 1.18, N = 3SE +/- 0.26, N = 391.9492.5293.4792.241. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 91.21 / Avg: 91.94 / Max: 93.26Min: 91.33 / Avg: 92.52 / Max: 93.21Min: 91.55 / Avg: 93.47 / Max: 95.62Min: 91.86 / Avg: 92.24 / Max: 92.731. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150SE +/- 0.23, N = 3SE +/- 0.18, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3130.54130.30130.26130.721. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 130.26 / Avg: 130.54 / Max: 130.99Min: 130.06 / Avg: 130.3 / Max: 130.65Min: 129.95 / Avg: 130.26 / Max: 130.65Min: 130.48 / Avg: 130.72 / Max: 130.91. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.06, N = 321.8121.7021.7421.861. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025Min: 21.73 / Avg: 21.81 / Max: 21.86Min: 21.37 / Avg: 21.7 / Max: 22.05Min: 21.48 / Avg: 21.74 / Max: 22.02Min: 21.74 / Avg: 21.86 / Max: 21.961. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 15SE +/- 0.22, N = 617.1318.4717.8918.121. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025Min: 17.12 / Avg: 17.13 / Max: 17.15Min: 18.45 / Avg: 18.47 / Max: 18.49Min: 16.85 / Avg: 17.89 / Max: 18.35Min: 17.02 / Avg: 18.12 / Max: 18.411. (CXX) g++ options: -O2 -lOpenCL

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.50641.01281.51922.02562.532SE +/- 0.00023, N = 3SE +/- 0.00067, N = 3SE +/- 0.00074, N = 3SE +/- 0.00145, N = 32.250852.235332.242002.23696
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 2.25 / Avg: 2.25 / Max: 2.25Min: 2.23 / Avg: 2.24 / Max: 2.24Min: 2.24 / Avg: 2.24 / Max: 2.24Min: 2.23 / Avg: 2.24 / Max: 2.24

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 317.5517.5617.5617.60
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620Min: 17.53 / Avg: 17.55 / Max: 17.59Min: 17.49 / Avg: 17.56 / Max: 17.6Min: 17.54 / Avg: 17.56 / Max: 17.59Min: 17.58 / Avg: 17.6 / Max: 17.62

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212K24K36K48K60KSE +/- 65.56, N = 3SE +/- 129.45, N = 3SE +/- 330.67, N = 3SE +/- 105.56, N = 353901.5754124.5754125.4354246.251. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F329K18K27K36K45KMin: 53813.48 / Avg: 53901.57 / Max: 54029.73Min: 53912.4 / Avg: 54124.57 / Max: 54359.15Min: 53475.96 / Avg: 54125.43 / Max: 54558.16Min: 54040.75 / Avg: 54246.25 / Max: 54390.921. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3116.02115.84116.33116.131. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 115.82 / Avg: 116.02 / Max: 116.18Min: 115.67 / Avg: 115.84 / Max: 116.01Min: 116.17 / Avg: 116.33 / Max: 116.56Min: 115.97 / Avg: 116.13 / Max: 116.271. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.053, N = 3SE +/- 0.041, N = 3SE +/- 0.051, N = 3SE +/- 0.080, N = 39.1298.8718.9868.8851. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 9.03 / Avg: 9.13 / Max: 9.2Min: 8.79 / Avg: 8.87 / Max: 8.91Min: 8.9 / Avg: 8.99 / Max: 9.08Min: 8.81 / Avg: 8.89 / Max: 9.051. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250100150200250SE +/- 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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324080120160200Min: 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

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 36.6146.6266.6386.6391. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 6.61 / Avg: 6.61 / Max: 6.62Min: 6.61 / Avg: 6.63 / Max: 6.64Min: 6.63 / Avg: 6.64 / Max: 6.64Min: 6.64 / Avg: 6.64 / Max: 6.641. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.135, N = 12SE +/- 0.009, N = 36.4416.4516.3096.4691. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 6.43 / Avg: 6.44 / Max: 6.45Min: 6.45 / Avg: 6.45 / Max: 6.46Min: 4.82 / Avg: 6.31 / Max: 6.47Min: 6.45 / Avg: 6.47 / Max: 6.481. (CXX) g++ options: -O3 -pthread -lm

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.36410.72821.09231.45641.8205SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 31.6181.6161.6161.6141. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.62 / Avg: 1.62 / Max: 1.62Min: 1.62 / Avg: 1.62 / Max: 1.62Min: 1.62 / Avg: 1.62 / Max: 1.62Min: 1.61 / Avg: 1.61 / Max: 1.621. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.56271.12541.68812.25082.8135SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 32.5012.4932.4882.4871. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 2.5 / Avg: 2.5 / Max: 2.5Min: 2.49 / Avg: 2.49 / Max: 2.5Min: 2.49 / Avg: 2.49 / Max: 2.49Min: 2.49 / Avg: 2.49 / Max: 2.491. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620SE +/- 0.00, N = 3SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 317.6017.4717.6117.721. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620Min: 17.59 / Avg: 17.6 / Max: 17.6Min: 17.32 / Avg: 17.47 / Max: 17.67Min: 17.33 / Avg: 17.61 / Max: 17.76Min: 17.47 / Avg: 17.72 / Max: 17.891. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.044, N = 3SE +/- 0.008, N = 3SE +/- 0.004, N = 3SE +/- 0.020, N = 37.7777.7437.7197.7371. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 7.73 / Avg: 7.78 / Max: 7.87Min: 7.73 / Avg: 7.74 / Max: 7.76Min: 7.71 / Avg: 7.72 / Max: 7.73Min: 7.71 / Avg: 7.74 / Max: 7.781. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 336.5136.2436.2936.271. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240Min: 36.5 / Avg: 36.51 / Max: 36.53Min: 36.19 / Avg: 36.24 / Max: 36.33Min: 36.23 / Avg: 36.29 / Max: 36.34Min: 36.26 / Avg: 36.27 / Max: 36.281. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F329M18M27M36M45MSE +/- 236602.10, N = 3SE +/- 393327.64, N = 3SE +/- 682550.81, N = 3SE +/- 562431.86, N = 341368242.340533065.440778410.040836665.8
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F327M14M21M28M35MMin: 40991193.3 / Avg: 41368242.27 / Max: 41804389.9Min: 39746418.6 / Avg: 40533065.43 / Max: 40929545.4Min: 39413798.6 / Avg: 40778409.97 / Max: 41492396.7Min: 40019477.8 / Avg: 40836665.8 / Max: 41914693.6

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 - Compression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322K4K6K8K10KSE +/- 24.11, N = 3SE +/- 55.03, N = 3SE +/- 8.51, N = 3SE +/- 34.40, N = 39975.489944.949943.3410035.771. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322K4K6K8K10KMin: 9928.14 / Avg: 9975.48 / Max: 10007.11Min: 9884.44 / Avg: 9944.94 / Max: 10054.81Min: 9929.91 / Avg: 9943.34 / Max: 9959.12Min: 9970.63 / Avg: 10035.77 / Max: 10087.491. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322K4K6K8K10KSE +/- 43.44, N = 3SE +/- 40.71, N = 3SE +/- 3.27, N = 3SE +/- 61.52, N = 311453.711426.311421.111462.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322K4K6K8K10KMin: 11368.1 / Avg: 11453.7 / Max: 11509.4Min: 11351.8 / Avg: 11426.3 / Max: 11492Min: 11414.6 / Avg: 11421.13 / Max: 11424.5Min: 11376.8 / Avg: 11462.03 / Max: 11581.51. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321224364860SE +/- 0.22, N = 3SE +/- 0.43, N = 3SE +/- 0.64, N = 3SE +/- 0.78, N = 352.9953.3653.6254.021. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321122334455Min: 52.73 / Avg: 52.99 / Max: 53.42Min: 52.9 / Avg: 53.36 / Max: 54.22Min: 52.52 / Avg: 53.62 / Max: 54.74Min: 52.47 / Avg: 54.02 / Max: 54.81. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322K4K6K8K10KSE +/- 7.07, N = 3SE +/- 39.07, N = 3SE +/- 32.91, N = 3SE +/- 1.05, N = 310819.110788.810825.910757.41. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322K4K6K8K10KMin: 10806.9 / Avg: 10819.1 / Max: 10831.4Min: 10712.5 / Avg: 10788.77 / Max: 10841.6Min: 10760.2 / Avg: 10825.93 / Max: 10861.7Min: 10755.4 / Avg: 10757.43 / Max: 10758.91. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321224364860SE +/- 0.69, N = 3SE +/- 0.68, N = 3SE +/- 0.43, N = 3SE +/- 0.03, N = 352.4352.9752.0251.211. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321122334455Min: 51.74 / Avg: 52.43 / Max: 53.8Min: 51.84 / Avg: 52.97 / Max: 54.2Min: 51.16 / Avg: 52.02 / Max: 52.52Min: 51.16 / Avg: 51.21 / Max: 51.241. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322K4K6K8K10KSE +/- 30.91, N = 3SE +/- 40.52, N = 3SE +/- 51.01, N = 3SE +/- 34.89, N = 310758.010797.410823.710851.11. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322K4K6K8K10KMin: 10726.1 / Avg: 10758 / Max: 10819.8Min: 10716.6 / Avg: 10797.37 / Max: 10843.5Min: 10770.8 / Avg: 10823.7 / Max: 10925.7Min: 10781.4 / Avg: 10851.13 / Max: 10888.11. (CC) gcc options: -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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3214002800420056007000SE +/- 19.75, N = 3SE +/- 13.83, N = 3SE +/- 77.36, N = 3SE +/- 56.48, N = 36693.06676.86357.66359.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212002400360048006000Min: 6653.7 / Avg: 6693.03 / Max: 6715.8Min: 6654.2 / Avg: 6676.8 / Max: 6701.9Min: 6277 / Avg: 6357.63 / Max: 6512.3Min: 6302.8 / Avg: 6359.73 / Max: 6472.71. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321122334455SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.00, N = 346.346.545.045.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32918273645Min: 46.3 / Avg: 46.33 / Max: 46.4Min: 46.3 / Avg: 46.47 / Max: 46.6Min: 44.6 / Avg: 44.97 / Max: 45.2Min: 45.4 / Avg: 45.4 / Max: 45.41. (CC) gcc options: -O3 -pthread -lz -llzma

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240SE +/- 0.20, N = 3SE +/- 0.40, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 335.1735.8835.4136.051. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240Min: 34.81 / Avg: 35.17 / Max: 35.49Min: 35.45 / Avg: 35.88 / Max: 36.68Min: 35.11 / Avg: 35.41 / Max: 35.61Min: 35.95 / Avg: 36.05 / Max: 36.211. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.6M3.2M4.8M6.4M8MSE +/- 24139.14, N = 3SE +/- 21113.93, N = 3SE +/- 91901.14, N = 4SE +/- 55698.30, N = 376302117638791663365266762571. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.3M2.6M3.9M5.2M6.5MMin: 7596842 / Avg: 7630211 / Max: 7677111Min: 7609059 / Avg: 7638790.67 / Max: 7679626Min: 6363086 / Avg: 6633652.25 / Max: 6758595Min: 6596089 / Avg: 6676257 / Max: 67833241. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32110220330440550SE +/- 0.33, N = 3SE +/- 0.33, N = 34834944704901. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3290180270360450Min: 483 / Avg: 483.33 / Max: 484Min: 469 / Avg: 469.67 / Max: 4701. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32130260390520650SE +/- 2.00, N = 3SE +/- 1.15, N = 3SE +/- 17.35, N = 12SE +/- 14.78, N = 155776104185361. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32110220330440550Min: 573 / Avg: 577 / Max: 579Min: 608 / Avg: 610 / Max: 612Min: 350 / Avg: 417.83 / Max: 555Min: 457 / Avg: 536.33 / Max: 6211. (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: SharpenEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323060901201501211221211211. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324080120160200SE +/- 0.33, N = 31941951941951. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324080120160200Min: 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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322004006008001000SE +/- 12.77, N = 3SE +/- 4.93, N = 39119188519061. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32160320480640800Min: 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: Noise-GaussianEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32501001502002502432472492501. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322004006008001000SE +/- 8.84, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 390496096010061. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322004006008001000Min: 942 / Avg: 959.67 / Max: 969Min: 959 / Avg: 960.33 / Max: 961Min: 1005 / Avg: 1005.67 / Max: 10071. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.00720, N = 3SE +/- 0.89365, N = 15SE +/- 0.32678, N = 15SE +/- 0.07230, N = 33.557834.4469613.141404.33057MIN: 3.44MIN: 3.42MIN: 10.22MIN: 4.061. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620Min: 3.54 / Avg: 3.56 / Max: 3.57Min: 3.54 / Avg: 4.45 / Max: 16.96Min: 11.4 / Avg: 13.14 / Max: 14.73Min: 4.19 / Avg: 4.33 / Max: 4.411. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.01437, N = 3SE +/- 0.01060, N = 3SE +/- 0.01063, N = 3SE +/- 0.00332, N = 36.131916.140965.644205.76146MIN: 5.96MIN: 5.98MIN: 5.36MIN: 5.411. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 6.11 / Avg: 6.13 / Max: 6.15Min: 6.13 / Avg: 6.14 / Max: 6.16Min: 5.63 / Avg: 5.64 / Max: 5.66Min: 5.76 / Avg: 5.76 / Max: 5.771. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.70551.4112.11652.8223.5275SE +/- 0.00248, N = 3SE +/- 0.00070, N = 3SE +/- 0.02189, N = 3SE +/- 0.01577, N = 32.786792.792583.135702.96058MIN: 2.74MIN: 2.75MIN: 3.04MIN: 2.891. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 2.78 / Avg: 2.79 / Max: 2.79Min: 2.79 / Avg: 2.79 / Max: 2.79Min: 3.1 / Avg: 3.14 / Max: 3.18Min: 2.94 / Avg: 2.96 / Max: 2.991. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.45660.91321.36981.82642.283SE +/- 0.005919, N = 3SE +/- 0.003683, N = 3SE +/- 0.001495, N = 3SE +/- 0.007682, N = 30.7823500.7825252.0295101.975090MIN: 0.73MIN: 0.74MIN: 1.8MIN: 1.71. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 0.77 / Avg: 0.78 / Max: 0.79Min: 0.78 / Avg: 0.78 / Max: 0.79Min: 2.03 / Avg: 2.03 / Max: 2.03Min: 1.97 / Avg: 1.98 / Max: 1.991. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.31862.63723.95585.27446.593SE +/- 0.00474, N = 3SE +/- 0.01110, N = 3SE +/- 0.06096, N = 15SE +/- 0.04122, N = 154.950254.955265.860615.36396MIN: 4.81MIN: 4.84MIN: 5.3MIN: 5.041. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 4.94 / Avg: 4.95 / Max: 4.96Min: 4.93 / Avg: 4.96 / Max: 4.97Min: 5.45 / Avg: 5.86 / Max: 6.25Min: 5.16 / Avg: 5.36 / Max: 5.641. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.00790, N = 3SE +/- 0.01642, N = 3SE +/- 0.06638, N = 3SE +/- 0.20933, N = 124.951614.958708.785807.25828MIN: 4.86MIN: 4.85MIN: 8.06MIN: 5.971. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 4.94 / Avg: 4.95 / Max: 4.96Min: 4.93 / Avg: 4.96 / Max: 4.98Min: 8.72 / Avg: 8.79 / Max: 8.92Min: 6.15 / Avg: 7.26 / Max: 8.141. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.00229, N = 3SE +/- 0.00414, N = 3SE +/- 0.53716, N = 15SE +/- 0.11207, N = 46.425336.4283611.212698.17078MIN: 6.39MIN: 6.39MIN: 9.25MIN: 7.861. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 6.42 / Avg: 6.43 / Max: 6.43Min: 6.42 / Avg: 6.43 / Max: 6.44Min: 9.3 / Avg: 11.21 / Max: 15.38Min: 7.92 / Avg: 8.17 / Max: 8.461. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.04001, N = 3SE +/- 0.11925, N = 3SE +/- 0.04221, N = 3SE +/- 0.04483, N = 39.438399.5303510.005849.97656MIN: 8.94MIN: 8.92MIN: 9.52MIN: 9.461. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 9.36 / Avg: 9.44 / Max: 9.48Min: 9.35 / Avg: 9.53 / Max: 9.76Min: 9.92 / Avg: 10.01 / Max: 10.05Min: 9.89 / Avg: 9.98 / Max: 10.041. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.02232, N = 3SE +/- 0.02172, N = 3SE +/- 0.06327, N = 3SE +/- 0.11553, N = 37.197637.164037.798947.36725MIN: 6.93MIN: 6.96MIN: 7.56MIN: 7.081. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 7.15 / Avg: 7.2 / Max: 7.22Min: 7.12 / Avg: 7.16 / Max: 7.2Min: 7.68 / Avg: 7.8 / Max: 7.89Min: 7.25 / Avg: 7.37 / Max: 7.61. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.28022.56043.84065.12086.401SE +/- 0.00332, N = 3SE +/- 0.00182, N = 3SE +/- 0.01136, N = 3SE +/- 0.00776, N = 35.580985.576555.665405.68956MIN: 5.53MIN: 5.54MIN: 5.61MIN: 5.651. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 5.57 / Avg: 5.58 / Max: 5.58Min: 5.57 / Avg: 5.58 / Max: 5.58Min: 5.65 / Avg: 5.67 / Max: 5.69Min: 5.67 / Avg: 5.69 / Max: 5.71. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F328001600240032004000SE +/- 7.18, N = 3SE +/- 4.14, N = 3SE +/- 24.47, N = 3SE +/- 12.68, N = 33437.763427.913602.393538.58MIN: 3412.07MIN: 3403.76MIN: 3535.28MIN: 3493.961. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F326001200180024003000Min: 3425.59 / Avg: 3437.76 / Max: 3450.45Min: 3421.76 / Avg: 3427.91 / Max: 3435.8Min: 3557.76 / Avg: 3602.39 / Max: 3642.1Min: 3513.42 / Avg: 3538.58 / Max: 3553.881. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000SE +/- 1.69, N = 3SE +/- 0.50, N = 3SE +/- 20.91, N = 3SE +/- 8.51, N = 31716.851712.102011.451931.82MIN: 1701.14MIN: 1695.7MIN: 1965.18MIN: 1905.681. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000Min: 1713.75 / Avg: 1716.85 / Max: 1719.55Min: 1711.2 / Avg: 1712.1 / Max: 1712.94Min: 1975.2 / Avg: 2011.45 / Max: 2047.64Min: 1918.31 / Avg: 1931.82 / Max: 1947.541. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F328001600240032004000SE +/- 6.37, N = 3SE +/- 1.49, N = 3SE +/- 38.33, N = 3SE +/- 12.05, N = 33437.333426.433610.533511.70MIN: 3409.19MIN: 3406.9MIN: 3526.71MIN: 3478.021. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F326001200180024003000Min: 3425.53 / Avg: 3437.33 / Max: 3447.37Min: 3424.07 / Avg: 3426.43 / Max: 3429.18Min: 3541.79 / Avg: 3610.53 / Max: 3674.3Min: 3491.83 / Avg: 3511.7 / Max: 3533.451. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000SE +/- 1.08, N = 3SE +/- 2.38, N = 3SE +/- 1.43, N = 3SE +/- 3.69, N = 31709.401710.451987.381947.92MIN: 1700.39MIN: 1696.38MIN: 1970.07MIN: 1930.031. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230060090012001500Min: 1707.6 / Avg: 1709.4 / Max: 1711.32Min: 1705.88 / Avg: 1710.45 / Max: 1713.87Min: 1984.76 / Avg: 1987.38 / Max: 1989.69Min: 1941.42 / Avg: 1947.92 / Max: 1954.21. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.43330.86661.29991.73322.1665SE +/- 0.00197, N = 3SE +/- 0.00172, N = 3SE +/- 0.03239, N = 3SE +/- 0.01560, N = 31.160931.161481.925611.48374MIN: 1.13MIN: 1.14MIN: 1.81MIN: 1.411. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.16 / Avg: 1.16 / Max: 1.16Min: 1.16 / Avg: 1.16 / Max: 1.16Min: 1.86 / Avg: 1.93 / Max: 1.96Min: 1.45 / Avg: 1.48 / Max: 1.51. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F328001600240032004000SE +/- 2.05, N = 3SE +/- 2.12, N = 3SE +/- 11.41, N = 3SE +/- 5.10, N = 33429.753427.123602.413508.32MIN: 3408.89MIN: 3405.75MIN: 3561.94MIN: 3481.061. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F326001200180024003000Min: 3426.53 / Avg: 3429.75 / Max: 3433.57Min: 3423.23 / Avg: 3427.12 / Max: 3430.53Min: 3580.87 / Avg: 3602.41 / Max: 3619.69Min: 3498.33 / Avg: 3508.32 / Max: 3515.131. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000SE +/- 3.78, N = 3SE +/- 0.56, N = 3SE +/- 9.19, N = 3SE +/- 8.61, N = 31709.621712.411968.691938.01MIN: 1694.84MIN: 1699.62MIN: 1942.51MIN: 1915.491. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230060090012001500Min: 1703.5 / Avg: 1709.62 / Max: 1716.51Min: 1711.71 / Avg: 1712.41 / Max: 1713.51Min: 1958.39 / Avg: 1968.69 / Max: 1987.02Min: 1927.96 / Avg: 1938.01 / Max: 1955.151. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.84581.69162.53743.38324.229SE +/- 0.00540, N = 3SE +/- 0.00163, N = 3SE +/- 0.04055, N = 3SE +/- 0.00981, N = 33.575933.571953.759193.60321MIN: 3.45MIN: 3.52MIN: 3.63MIN: 3.531. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 3.57 / Avg: 3.58 / Max: 3.59Min: 3.57 / Avg: 3.57 / Max: 3.57Min: 3.72 / Avg: 3.76 / Max: 3.84Min: 3.59 / Avg: 3.6 / Max: 3.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3290180270360450SE +/- 0.44, N = 3SE +/- 0.83, N = 3SE +/- 0.97, N = 3SE +/- 0.04, N = 3435.74435.89435.22434.73MIN: 345.43 / MAX: 590.09MIN: 345.59 / MAX: 589.65MIN: 345.23 / MAX: 592.78MIN: 345.3 / MAX: 579.611. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3280160240320400Min: 434.97 / Avg: 435.74 / Max: 436.5Min: 434.63 / Avg: 435.89 / Max: 437.46Min: 433.28 / Avg: 435.22 / Max: 436.24Min: 434.66 / Avg: 434.73 / Max: 434.781. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150SE +/- 0.17, N = 3SE +/- 0.28, N = 3SE +/- 0.27, N = 3SE +/- 0.30, N = 3154.34154.61153.45153.76MIN: 142.28 / MAX: 174.21MIN: 142.35 / MAX: 173.39MIN: 141.09 / MAX: 171.46MIN: 138.27 / MAX: 172.51. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150Min: 154.01 / Avg: 154.34 / Max: 154.53Min: 154.05 / Avg: 154.61 / Max: 155Min: 153.13 / Avg: 153.45 / Max: 153.99Min: 153.24 / Avg: 153.76 / Max: 154.31. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3280160240320400SE +/- 0.92, N = 3SE +/- 0.68, N = 3SE +/- 1.45, N = 3SE +/- 0.70, N = 3389.36391.02390.17388.22MIN: 320.11 / MAX: 418.64MIN: 313.28 / MAX: 420.51MIN: 310.85 / MAX: 422.85MIN: 314.58 / MAX: 417.181. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3270140210280350Min: 387.75 / Avg: 389.36 / Max: 390.93Min: 389.74 / Avg: 391.02 / Max: 392.06Min: 388.46 / Avg: 390.17 / Max: 393.05Min: 386.83 / Avg: 388.22 / Max: 388.951. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 3SE +/- 0.05, N = 396.0696.1795.7296.04MIN: 63.52 / MAX: 213.6MIN: 63.51 / MAX: 214.79MIN: 63.33 / MAX: 214.96MIN: 63.62 / MAX: 214.931. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 95.92 / Avg: 96.06 / Max: 96.16Min: 96.14 / Avg: 96.17 / Max: 96.23Min: 95.4 / Avg: 95.72 / Max: 96.19Min: 95.98 / Avg: 96.04 / Max: 96.131. (CC) gcc options: -pthread

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.06530.13060.19590.26120.3265SE +/- 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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 0.29 / Avg: 0.29 / Max: 0.29Min: 0.29 / Avg: 0.29 / Max: 0.29Min: 0.29 / Avg: 0.29 / Max: 0.29Min: 0.28 / Avg: 0.29 / Max: 0.291. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.52651.0531.57952.1062.6325SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.312.342.322.311. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 2.31 / Avg: 2.31 / Max: 2.32Min: 2.33 / Avg: 2.34 / Max: 2.35Min: 2.3 / Avg: 2.32 / Max: 2.33Min: 2.31 / Avg: 2.31 / Max: 2.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 318.3718.3418.3318.361. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025Min: 18.32 / Avg: 18.37 / Max: 18.46Min: 18.18 / Avg: 18.34 / Max: 18.43Min: 18.3 / Avg: 18.33 / Max: 18.35Min: 18.34 / Avg: 18.36 / Max: 18.391. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.811.622.433.244.05SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.583.593.603.591. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 3.57 / Avg: 3.58 / Max: 3.59Min: 3.58 / Avg: 3.59 / Max: 3.6Min: 3.6 / Avg: 3.6 / Max: 3.61Min: 3.58 / Avg: 3.59 / Max: 3.61. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 333.8033.8533.4133.671. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835Min: 33.74 / Avg: 33.8 / Max: 33.89Min: 33.79 / Avg: 33.85 / Max: 33.89Min: 33.33 / Avg: 33.41 / Max: 33.48Min: 33.65 / Avg: 33.67 / Max: 33.711. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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 - Model: CrownEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.0068, N = 3SE +/- 0.1629, N = 3SE +/- 0.0366, N = 3SE +/- 0.0839, N = 310.18399.99999.987510.0848MIN: 10.12 / MAX: 10.32MIN: 9.44 / MAX: 10.33MIN: 9.89 / MAX: 10.19MIN: 9.88 / MAX: 10.36
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 10.17 / Avg: 10.18 / Max: 10.19Min: 9.68 / Avg: 10 / Max: 10.21Min: 9.94 / Avg: 9.99 / Max: 10.06Min: 9.92 / Avg: 10.08 / Max: 10.19

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.0118, N = 3SE +/- 0.0115, N = 3SE +/- 0.0371, N = 3SE +/- 0.0166, N = 39.66909.67679.54789.5844MIN: 9.59 / MAX: 9.82MIN: 9.6 / MAX: 9.83MIN: 9.44 / MAX: 9.74MIN: 9.5 / MAX: 9.71
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 9.65 / Avg: 9.67 / Max: 9.69Min: 9.66 / Avg: 9.68 / Max: 9.7Min: 9.49 / Avg: 9.55 / Max: 9.62Min: 9.55 / Avg: 9.58 / Max: 9.61

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 311.0710.9410.9610.85MIN: 10.98 / MAX: 11.2MIN: 10.78 / MAX: 11.17MIN: 10.82 / MAX: 11.19MIN: 10.71 / MAX: 11.04
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 11.02 / Avg: 11.07 / Max: 11.11Min: 10.82 / Avg: 10.94 / Max: 11.05Min: 10.86 / Avg: 10.96 / Max: 11.07Min: 10.75 / Avg: 10.85 / Max: 10.93

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.1610.1510.1610.14MIN: 10.11 / MAX: 10.26MIN: 10.1 / MAX: 10.23MIN: 10.11 / MAX: 10.25MIN: 10.1 / MAX: 10.23
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 10.14 / Avg: 10.16 / Max: 10.18Min: 10.14 / Avg: 10.15 / Max: 10.15Min: 10.15 / Avg: 10.16 / Max: 10.18Min: 10.13 / Avg: 10.14 / Max: 10.16

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 310.9210.9710.9210.86MIN: 10.77 / MAX: 11.17MIN: 10.87 / MAX: 11.09MIN: 10.81 / MAX: 11.08MIN: 10.77 / MAX: 11
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 10.81 / Avg: 10.92 / Max: 11.06Min: 10.94 / Avg: 10.97 / Max: 10.99Min: 10.84 / Avg: 10.92 / Max: 10.97Min: 10.81 / Avg: 10.86 / Max: 10.9

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.0078, N = 3SE +/- 0.0210, N = 3SE +/- 0.0181, N = 3SE +/- 0.0358, N = 39.71289.71589.69369.6564MIN: 9.66 / MAX: 9.81MIN: 9.66 / MAX: 9.85MIN: 9.63 / MAX: 9.79MIN: 9.55 / MAX: 9.78
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 9.7 / Avg: 9.71 / Max: 9.72Min: 9.69 / Avg: 9.72 / Max: 9.76Min: 9.66 / Avg: 9.69 / Max: 9.72Min: 9.59 / Avg: 9.66 / Max: 9.7

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.24882.49763.74644.99526.244SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.545.555.555.551. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 5.53 / Avg: 5.54 / Max: 5.55Min: 5.54 / Avg: 5.55 / Max: 5.56Min: 5.54 / Avg: 5.55 / Max: 5.55Min: 5.55 / Avg: 5.55 / Max: 5.551. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.27352.5473.82055.0946.3675SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.655.665.665.651. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 5.65 / Avg: 5.65 / Max: 5.65Min: 5.65 / Avg: 5.66 / Max: 5.67Min: 5.65 / Avg: 5.66 / Max: 5.66Min: 5.65 / Avg: 5.65 / Max: 5.651. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 323.6723.6823.7623.701. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430Min: 23.66 / Avg: 23.67 / Max: 23.69Min: 23.64 / Avg: 23.68 / Max: 23.74Min: 23.74 / Avg: 23.76 / Max: 23.78Min: 23.66 / Avg: 23.7 / Max: 23.751. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 324.2324.2724.3024.271. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430Min: 24.19 / Avg: 24.23 / Max: 24.28Min: 24.2 / Avg: 24.27 / Max: 24.33Min: 24.28 / Avg: 24.3 / Max: 24.32Min: 24.24 / Avg: 24.27 / Max: 24.311. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 315.3115.3115.3515.311. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620Min: 15.26 / Avg: 15.31 / Max: 15.36Min: 15.28 / Avg: 15.31 / Max: 15.33Min: 15.32 / Avg: 15.35 / Max: 15.37Min: 15.22 / Avg: 15.31 / Max: 15.371. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 326.3226.7426.5626.671. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430Min: 26.21 / Avg: 26.32 / Max: 26.39Min: 26.71 / Avg: 26.74 / Max: 26.76Min: 26.47 / Avg: 26.56 / Max: 26.71Min: 26.58 / Avg: 26.67 / Max: 26.831. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321224364860SE +/- 0.20, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 354.8254.7254.6654.511. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321122334455Min: 54.44 / Avg: 54.82 / Max: 55.11Min: 54.42 / Avg: 54.72 / Max: 54.94Min: 54.52 / Avg: 54.66 / Max: 54.87Min: 54.44 / Avg: 54.51 / Max: 54.551. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100SE +/- 0.19, N = 3SE +/- 0.27, N = 3SE +/- 0.25, N = 3SE +/- 0.28, N = 397.2896.9397.6598.261. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 97.08 / Avg: 97.28 / Max: 97.66Min: 96.57 / Avg: 96.93 / Max: 97.45Min: 97.34 / Avg: 97.65 / Max: 98.15Min: 97.95 / Avg: 98.26 / Max: 98.821. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.0830.1660.2490.3320.415SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.3670.3680.3690.369
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.24590.49180.73770.98361.2295SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 31.0821.0921.0921.093
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.08 / Avg: 1.08 / Max: 1.09Min: 1.09 / Avg: 1.09 / Max: 1.09Min: 1.09 / Avg: 1.09 / Max: 1.1Min: 1.09 / Avg: 1.09 / Max: 1.1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.32810.65620.98431.31241.6405SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 3SE +/- 0.003, N = 31.4411.4531.4561.458
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.44 / Avg: 1.44 / Max: 1.45Min: 1.45 / Avg: 1.45 / Max: 1.46Min: 1.45 / Avg: 1.46 / Max: 1.46Min: 1.45 / Avg: 1.46 / Max: 1.46

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.72181.44362.16542.88723.609SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.017, N = 3SE +/- 0.009, N = 33.1663.1973.2083.196
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 3.16 / Avg: 3.17 / Max: 3.18Min: 3.19 / Avg: 3.2 / Max: 3.2Min: 3.18 / Avg: 3.21 / Max: 3.24Min: 3.18 / Avg: 3.2 / Max: 3.21

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.02430.04860.07290.09720.1215SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1070.1070.1080.1071. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.71061.42122.13182.84243.553SE +/- 0.007, N = 3SE +/- 0.008, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 33.1533.1443.1483.1581. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 3.14 / Avg: 3.15 / Max: 3.17Min: 3.13 / Avg: 3.14 / Max: 3.16Min: 3.14 / Avg: 3.15 / Max: 3.17Min: 3.15 / Avg: 3.16 / Max: 3.161. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 323.9224.0023.9623.991. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430Min: 23.89 / Avg: 23.92 / Max: 23.94Min: 23.9 / Avg: 24 / Max: 24.07Min: 23.9 / Avg: 23.96 / Max: 24.04Min: 23.86 / Avg: 23.99 / Max: 24.071. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150SE +/- 1.33, N = 7SE +/- 0.42, N = 3SE +/- 0.59, N = 3SE +/- 0.53, N = 3118.12120.75120.09119.541. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 110.25 / Avg: 118.12 / Max: 120.41Min: 120.07 / Avg: 120.75 / Max: 121.53Min: 119.38 / Avg: 120.09 / Max: 121.26Min: 118.53 / Avg: 119.54 / Max: 120.311. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150SE +/- 1.09, N = 3SE +/- 0.52, N = 3SE +/- 0.41, N = 3SE +/- 0.66, N = 3124.66126.94125.19127.191. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 122.88 / Avg: 124.66 / Max: 126.64Min: 125.92 / Avg: 126.94 / Max: 127.61Min: 124.4 / Avg: 125.19 / Max: 125.76Min: 126.02 / Avg: 127.19 / Max: 128.311. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100SE +/- 1.64, N = 3SE +/- 0.50, N = 3SE +/- 0.45, N = 3SE +/- 0.11, N = 395.7698.6799.1298.931. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 93.34 / Avg: 95.76 / Max: 98.9Min: 97.7 / Avg: 98.67 / Max: 99.39Min: 98.64 / Avg: 99.12 / Max: 100.02Min: 98.72 / Avg: 98.93 / Max: 99.081. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 15SE +/- 0.08, N = 310.0410.0510.1410.001. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 9.95 / Avg: 10.04 / Max: 10.18Min: 10.01 / Avg: 10.05 / Max: 10.08Min: 9.58 / Avg: 10.14 / Max: 10.53Min: 9.87 / Avg: 10 / Max: 10.141. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321122334455SE +/- 0.22, N = 3SE +/- 0.10, N = 3SE +/- 0.27, N = 3SE +/- 0.25, N = 348.4348.8147.9348.501. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321020304050Min: 48.15 / Avg: 48.43 / Max: 48.86Min: 48.65 / Avg: 48.81 / Max: 48.99Min: 47.52 / Avg: 47.93 / Max: 48.43Min: 48.24 / Avg: 48.5 / Max: 491. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3270K140K210K280K350KSE +/- 990.87, N = 3SE +/- 191.93, N = 3SE +/- 1294.24, N = 3SE +/- 391.98, N = 3342379.90343035.00342873.01341103.801. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3260K120K180K240K300KMin: 340407.43 / Avg: 342379.9 / Max: 343531.94Min: 342685.8 / Avg: 343035 / Max: 343347.64Min: 341078.66 / Avg: 342873.01 / Max: 345385.86Min: 340552.33 / Avg: 341103.8 / Max: 341862.081. (CC) gcc options: -O2 -lrt" -lrt

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.38480.76961.15441.53921.924SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.701.711.701.70MIN: 1.63 / MAX: 1.74MIN: 1.63 / MAX: 1.76MIN: 1.63 / MAX: 1.74MIN: 1.62 / MAX: 1.75
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.69 / Avg: 1.7 / Max: 1.7Min: 1.7 / Avg: 1.71 / Max: 1.72Min: 1.7 / Avg: 1.7 / Max: 1.7Min: 1.69 / Avg: 1.7 / Max: 1.71

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.4140.8281.2421.6562.07SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 31.821.811.831.84MIN: 1.79 / MAX: 1.85MIN: 1.78 / MAX: 1.85MIN: 1.78 / MAX: 1.87MIN: 1.78 / MAX: 1.91
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.82 / Avg: 1.82 / Max: 1.82Min: 1.81 / Avg: 1.81 / Max: 1.81Min: 1.81 / Avg: 1.83 / Max: 1.87Min: 1.81 / Avg: 1.84 / Max: 1.87

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324M8M12M16M20MSE +/- 140616.38, N = 3SE +/- 229916.93, N = 4SE +/- 51851.45, N = 3SE +/- 135933.82, N = 3186338251836449618810114186806901. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323M6M9M12M15MMin: 18384850 / Avg: 18633825 / Max: 18871571Min: 18056906 / Avg: 18364495.75 / Max: 19036677Min: 18739901 / Avg: 18810114.33 / Max: 18911314Min: 18538722 / Avg: 18680690 / Max: 189524671. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325M10M15M20M25MSE +/- 114711.06, N = 3SE +/- 110486.89, N = 3SE +/- 143423.44, N = 3SE +/- 224512.20, N = 324094956242662542411095024041474
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324M8M12M16M20MMin: 23871942 / Avg: 24094956 / Max: 24253094Min: 24070445 / Avg: 24266254 / Max: 24452850Min: 23952200 / Avg: 24110950 / Max: 24397230Min: 23675887 / Avg: 24041474.33 / Max: 24450048

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32100200300400500SE +/- 0.89, N = 3SE +/- 0.36, N = 3SE +/- 0.31, N = 3SE +/- 0.19, N = 3447.69445.00443.10444.51
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3280160240320400Min: 446.32 / Avg: 447.69 / Max: 449.35Min: 444.54 / Avg: 445 / Max: 445.72Min: 442.63 / Avg: 443.1 / Max: 443.7Min: 444.18 / Avg: 444.51 / Max: 444.85

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321224364860SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 354.5654.6154.2754.53
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321122334455Min: 54.52 / Avg: 54.56 / Max: 54.6Min: 54.44 / Avg: 54.61 / Max: 54.72Min: 54.2 / Avg: 54.27 / Max: 54.32Min: 54.47 / Avg: 54.53 / Max: 54.58

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100SE +/- 0.49, N = 3SE +/- 0.58, N = 3SE +/- 0.61, N = 3SE +/- 0.58, N = 380.0179.8579.3479.95
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321530456075Min: 79.49 / Avg: 80.01 / Max: 81Min: 79.17 / Avg: 79.85 / Max: 81.01Min: 78.64 / Avg: 79.34 / Max: 80.54Min: 79.04 / Avg: 79.95 / Max: 81.03

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32130260390520650SE +/- 1.65, N = 3SE +/- 0.48, N = 3SE +/- 2.47, N = 3SE +/- 0.79, N = 3577.89574.24580.93576.93
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32100200300400500Min: 574.93 / Avg: 577.89 / Max: 580.63Min: 573.33 / Avg: 574.24 / Max: 574.94Min: 576.23 / Avg: 580.93 / Max: 584.6Min: 575.94 / Avg: 576.93 / Max: 578.49

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100SE +/- 0.95, N = 3SE +/- 0.63, N = 3SE +/- 0.25, N = 3SE +/- 1.19, N = 598.5598.5898.67100.19
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 97.25 / Avg: 98.55 / Max: 100.4Min: 97.75 / Avg: 98.58 / Max: 99.81Min: 98.17 / Avg: 98.67 / Max: 98.97Min: 97.47 / Avg: 100.19 / Max: 103.96

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3280160240320400SE +/- 2.45, N = 3SE +/- 1.00, N = 3SE +/- 0.91, N = 3SE +/- 0.69, N = 3358.87362.21367.17369.45
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3270140210280350Min: 356.1 / Avg: 358.87 / Max: 363.75Min: 360.71 / Avg: 362.21 / Max: 364.12Min: 365.49 / Avg: 367.17 / Max: 368.62Min: 368.46 / Avg: 369.45 / Max: 370.79

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835SE +/- 0.06, N = 4SE +/- 0.04, N = 4SE +/- 0.25, N = 4SE +/- 0.07, N = 430.6431.1630.9630.631. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835Min: 30.53 / Avg: 30.64 / Max: 30.79Min: 31.07 / Avg: 31.16 / Max: 31.23Min: 30.22 / Avg: 30.96 / Max: 31.25Min: 30.41 / Avg: 30.63 / Max: 30.731. (CC) gcc options: -O2 -std=c99

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 320.1220.1020.1120.131. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025Min: 20.06 / Avg: 20.12 / Max: 20.18Min: 20.09 / Avg: 20.1 / Max: 20.12Min: 20.1 / Avg: 20.11 / Max: 20.13Min: 20.12 / Avg: 20.13 / Max: 20.141. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325001000150020002500SE +/- 0.62, N = 3SE +/- 0.69, N = 3SE +/- 0.12, N = 3SE +/- 0.19, N = 32293.52294.32293.22294.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000Min: 2292.3 / Avg: 2293.53 / Max: 2294.2Min: 2293.3 / Avg: 2294.27 / Max: 2295.6Min: 2293 / Avg: 2293.2 / Max: 2293.4Min: 2294 / Avg: 2294.37 / Max: 2294.61. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100SE +/- 0.41, N = 3SE +/- 0.98, N = 3SE +/- 0.61, N = 3SE +/- 0.34, N = 3103.50103.02103.55101.981. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 102.72 / Avg: 103.5 / Max: 104.12Min: 101.44 / Avg: 103.02 / Max: 104.81Min: 102.35 / Avg: 103.55 / Max: 104.28Min: 101.34 / Avg: 101.98 / Max: 102.521. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3290K180K270K360K450KSE +/- 974.54, N = 3SE +/- 382.75, N = 3SE +/- 5208.73, N = 3SE +/- 1075.01, N = 3427035.99427606.94432875.89425578.881. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3280K160K240K320K400KMin: 425368.15 / Avg: 427035.99 / Max: 428743.35Min: 426843.15 / Avg: 427606.94 / Max: 428033.18Min: 425590.54 / Avg: 432875.89 / Max: 442967.24Min: 423675.7 / Avg: 425578.88 / Max: 427396.721. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.30170.60340.90511.20681.5085SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.004, N = 3SE +/- 0.000, N = 31.3391.3401.3331.3411. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.34 / Avg: 1.34 / Max: 1.34Min: 1.34 / Avg: 1.34 / Max: 1.34Min: 1.33 / Avg: 1.33 / 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: SqueezeNetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3240K80K120K160K200KSE +/- 17.48, N = 3SE +/- 47.37, N = 3SE +/- 19.27, N = 3SE +/- 83.81, N = 3200957200931200843200842
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230K60K90K120K150KMin: 200925 / Avg: 200957.33 / Max: 200985Min: 200855 / Avg: 200931 / Max: 201018Min: 200820 / Avg: 200842.67 / Max: 200881Min: 200730 / Avg: 200842 / Max: 201006

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32600K1200K1800K2400K3000KSE +/- 1341.84, N = 3SE +/- 841.84, N = 3SE +/- 1241.80, N = 3SE +/- 566.28, N = 32873420287368028733972872823
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32500K1000K1500K2000K2500KMin: 2871180 / Avg: 2873420 / Max: 2875820Min: 2872040 / Avg: 2873680 / Max: 2874830Min: 2871160 / Avg: 2873396.67 / Max: 2875450Min: 2871910 / Avg: 2872823.33 / Max: 2873860

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3240K80K120K160K200KSE +/- 605.12, N = 3SE +/- 212.90, N = 3SE +/- 2019.28, N = 6SE +/- 633.82, N = 3178067177467179561178312
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230K60K90K120K150KMin: 177430 / Avg: 178067.33 / Max: 179277Min: 177245 / Avg: 177467.33 / Max: 177893Min: 176896 / Avg: 179561.17 / Max: 189619Min: 177486 / Avg: 178312.33 / Max: 179558

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230K60K90K120K150KSE +/- 77.14, N = 3SE +/- 64.98, N = 3SE +/- 64.18, N = 3132557132486132532132510
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220K40K60K80K100KMin: 132457 / Avg: 132557.33 / Max: 132709Min: 132460 / Avg: 132532.33 / Max: 132662Min: 132423 / Avg: 132509.67 / Max: 132635

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230K60K90K120K150KSE +/- 4.62, N = 3SE +/- 18.00, N = 3SE +/- 28.24, N = 3SE +/- 32.34, N = 3135107135176135170135185
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220K40K60K80K100KMin: 135099 / Avg: 135107 / Max: 135115Min: 135141 / Avg: 135176.33 / Max: 135200Min: 135114 / Avg: 135170.33 / Max: 135202Min: 135130 / Avg: 135185.33 / Max: 135242

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32600K1200K1800K2400K3000KSE +/- 935.71, N = 3SE +/- 1494.81, N = 3SE +/- 2192.42, N = 3SE +/- 832.79, N = 32596733259525325952532593953
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32500K1000K1500K2000K2500KMin: 2594910 / Avg: 2596733.33 / Max: 2598010Min: 2592320 / Avg: 2595253.33 / Max: 2597220Min: 2591600 / Avg: 2595253.33 / Max: 2599180Min: 2592830 / Avg: 2593953.33 / Max: 2595580

PostgreSQL pgbench

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F326K12K18K24K30KSE +/- 253.82, N = 3SE +/- 238.77, N = 3SE +/- 175.38, N = 3SE +/- 465.68, N = 3285972804428155281521. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325K10K15K20K25KMin: 28095.77 / Avg: 28596.58 / Max: 28918.88Min: 27725.55 / Avg: 28044.07 / Max: 28511.45Min: 27955.47 / Avg: 28155.32 / Max: 28504.89Min: 27376.6 / Avg: 28151.75 / Max: 28986.481. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.00810.01620.02430.03240.0405SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.0350.0360.0360.0361. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 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 WriteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F328001600240032004000SE +/- 14.49, N = 3SE +/- 5.91, N = 3SE +/- 23.39, N = 3SE +/- 4.36, N = 338483860383038291. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F327001400210028003500Min: 3826.93 / Avg: 3848.02 / Max: 3875.77Min: 3853.58 / Avg: 3860.38 / Max: 3872.15Min: 3802.34 / Avg: 3829.67 / Max: 3876.22Min: 3820.63 / Avg: 3828.84 / Max: 3835.491. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.05870.11740.17610.23480.2935SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 30.2600.2590.2610.2611. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 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: 50 - Mode: Read OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3260K120K180K240K300KSE +/- 716.76, N = 3SE +/- 1179.30, N = 3SE +/- 1088.21, N = 3SE +/- 965.23, N = 32638162627052626382614471. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250K100K150K200K250KMin: 262525.96 / Avg: 263816.36 / Max: 265002.3Min: 260412.82 / Avg: 262705.28 / Max: 264331.82Min: 260467 / Avg: 262637.99 / Max: 263856.55Min: 259561.55 / Avg: 261446.94 / Max: 262748.771. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.0430.0860.1290.1720.215SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1890.1900.1910.1911. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 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: 100 - Mode: Read OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3260K120K180K240K300KSE +/- 438.49, N = 3SE +/- 783.20, N = 3SE +/- 696.10, N = 3SE +/- 568.22, N = 32850332829712834612838181. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250K100K150K200K250KMin: 284214.27 / Avg: 285032.93 / Max: 285714.61Min: 281467.73 / Avg: 282971.08 / Max: 284103.76Min: 282313.03 / Avg: 283461.2 / Max: 284717.17Min: 282774.66 / Avg: 283818.27 / Max: 284729.651. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.07940.15880.23820.31760.397SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3510.3530.3530.3521. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.36Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 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: 250 - Mode: Read OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3260K120K180K240K300KSE +/- 558.88, N = 3SE +/- 502.62, N = 3SE +/- 699.75, N = 3SE +/- 425.94, N = 32882112880972892502882841. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250K100K150K200K250KMin: 287169.04 / Avg: 288211.42 / Max: 289082.05Min: 287574.91 / Avg: 288097.28 / Max: 289102.25Min: 287934.86 / Avg: 289249.52 / Max: 290322.44Min: 287432.34 / Avg: 288284.15 / Max: 288719.681. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.19530.39060.58590.78120.9765SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 30.8680.8680.8650.8671. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.86 / Avg: 0.86 / 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: 50 - Mode: Read WriteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F329001800270036004500SE +/- 12.28, N = 3SE +/- 7.68, N = 3SE +/- 17.05, N = 3SE +/- 8.79, N = 340224018402540011. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F327001400210028003500Min: 4002.38 / Avg: 4021.71 / Max: 4044.5Min: 4005.49 / Avg: 4018.46 / Max: 4032.07Min: 3990.96 / Avg: 4025.06 / Max: 4042.35Min: 3987.75 / Avg: 4001.16 / Max: 4017.711. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 312.4412.4512.4312.501. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620Min: 12.37 / Avg: 12.44 / Max: 12.5Min: 12.4 / Avg: 12.45 / Max: 12.49Min: 12.37 / Avg: 12.43 / Max: 12.53Min: 12.45 / Avg: 12.5 / Max: 12.541. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325K10K15K20K25KSE +/- 77.78, N = 3SE +/- 144.06, N = 3SE +/- 183.94, N = 3SE +/- 152.16, N = 3232402319523947237211. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324K8K12K16K20KMin: 23091.36 / Avg: 23239.6 / Max: 23354.58Min: 22912.43 / Avg: 23194.58 / Max: 23386.2Min: 23664.86 / Avg: 23947.05 / Max: 24292.54Min: 23536.7 / Avg: 23720.54 / Max: 24022.481. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.00970.01940.02910.03880.0485SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0430.0430.0420.0421. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 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: 100 - Mode: Read WriteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F327001400210028003500SE +/- 14.45, N = 3SE +/- 12.04, N = 3SE +/- 37.02, N = 3SE +/- 51.29, N = 331313185310331271. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F326001200180024003000Min: 3106.04 / Avg: 3130.92 / Max: 3156.09Min: 3161.53 / Avg: 3185.13 / Max: 3201.07Min: 3031.11 / Avg: 3102.85 / Max: 3154.53Min: 3027.5 / Avg: 3126.55 / Max: 3199.161. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.39, N = 3SE +/- 0.53, N = 331.9631.4132.2532.021. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835Min: 31.7 / Avg: 31.96 / Max: 32.21Min: 31.26 / Avg: 31.41 / Max: 31.64Min: 31.72 / Avg: 32.25 / Max: 33.01Min: 31.27 / Avg: 32.02 / Max: 33.051. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325001000150020002500SE +/- 28.62, N = 4SE +/- 24.08, N = 5SE +/- 28.50, N = 3SE +/- 20.76, N = 1520452054212619941. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000Min: 1971.46 / Avg: 2044.63 / Max: 2111.34Min: 1987.26 / Avg: 2054.41 / Max: 2120.07Min: 2070.57 / Avg: 2125.72 / Max: 2165.73Min: 1825.29 / Avg: 1994.48 / Max: 2111.681. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150SE +/- 1.72, N = 4SE +/- 1.43, N = 5SE +/- 1.59, N = 3SE +/- 1.35, N = 15122.40121.81117.70125.601. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 118.46 / Avg: 122.4 / Max: 126.86Min: 117.98 / Avg: 121.81 / Max: 125.85Min: 115.48 / Avg: 117.7 / Max: 120.79Min: 118.44 / Avg: 125.59 / Max: 137.031. (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: 1 - Mode: Read WriteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F327001400210028003500SE +/- 13.14, N = 3SE +/- 15.26, N = 3SE +/- 13.61, N = 3SE +/- 4.87, N = 332293183314832141. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F326001200180024003000Min: 3202.29 / Avg: 3228.57 / Max: 3241.98Min: 3157.84 / Avg: 3183.06 / Max: 3210.54Min: 3129.43 / Avg: 3147.92 / Max: 3174.46Min: 3204.31 / Avg: 3214.04 / Max: 3219.461. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.07160.14320.21480.28640.358SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 30.3100.3140.3180.3111. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.31 / Avg: 0.31 / Max: 0.32Min: 0.32 / Avg: 0.32 / 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: 50 - Mode: Read OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3240K80K120K160K200KSE +/- 670.14, N = 3SE +/- 220.21, N = 3SE +/- 259.41, N = 3SE +/- 514.86, N = 32059022056962071662069781. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3240K80K120K160K200KMin: 204754.38 / Avg: 205902.18 / Max: 207075.41Min: 205256.01 / Avg: 205696.4 / Max: 205920.67Min: 206681.61 / Avg: 207165.66 / Max: 207569.38Min: 206286.07 / Avg: 206977.57 / Max: 207984.11. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.05470.10940.16410.21880.2735SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.2430.2430.2410.2411. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 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: 100 - Mode: Read OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250K100K150K200K250KSE +/- 90.47, N = 3SE +/- 366.68, N = 3SE +/- 490.74, N = 3SE +/- 323.72, N = 32178822167672179402179141. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3240K80K120K160K200KMin: 217714.95 / Avg: 217882.25 / Max: 218025.58Min: 216383 / Avg: 216767.42 / Max: 217500.5Min: 217241.68 / Avg: 217939.54 / Max: 218886.16Min: 217271.11 / Avg: 217914.22 / Max: 218300.551. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.10370.20740.31110.41480.5185SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4590.4610.4590.4591. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 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: 250 - Mode: Read OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250K100K150K200K250KSE +/- 485.75, N = 3SE +/- 766.77, N = 3SE +/- 196.79, N = 3SE +/- 698.68, N = 32184282188572179682185161. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3240K80K120K160K200KMin: 217456.11 / Avg: 218427.61 / Max: 218917.59Min: 217678.81 / Avg: 218857.18 / Max: 220296.31Min: 217592.09 / Avg: 217968.4 / Max: 218256.45Min: 217465.78 / Avg: 218516.03 / Max: 219839.391. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.25810.51620.77431.03241.2905SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 31.1451.1431.1471.1451. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.14 / Avg: 1.15 / Max: 1.15Min: 1.14 / Avg: 1.14 / Max: 1.15Min: 1.15 / Avg: 1.15 / Max: 1.15Min: 1.14 / Avg: 1.14 / 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: 50 - Mode: Read WriteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324K8K12K16K20KSE +/- 48.02, N = 3SE +/- 20.00, N = 3SE +/- 29.92, N = 3SE +/- 26.98, N = 3194081932019318193831. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323K6K9K12K15KMin: 19314.83 / Avg: 19407.69 / Max: 19475.35Min: 19289.52 / Avg: 19320.11 / Max: 19357.72Min: 19269.47 / Avg: 19317.68 / Max: 19372.48Min: 19332.8 / Avg: 19383.24 / Max: 19425.061. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.58251.1651.74752.332.9125SE +/- 0.006, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 32.5772.5882.5892.5801. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 2.57 / Avg: 2.58 / Max: 2.59Min: 2.58 / Avg: 2.59 / Max: 2.59Min: 2.58 / Avg: 2.59 / Max: 2.6Min: 2.58 / 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: 100 - Mode: Read WriteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325K10K15K20K25KSE +/- 56.25, N = 3SE +/- 44.06, N = 3SE +/- 53.89, N = 3SE +/- 36.34, N = 3210122097620937209411. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324K8K12K16K20KMin: 20906.88 / Avg: 21012.16 / Max: 21099.15Min: 20897.37 / Avg: 20976.16 / Max: 21049.74Min: 20835.94 / Avg: 20937.48 / Max: 21019.56Min: 20882.25 / Avg: 20941.05 / Max: 21007.441. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.07512.15023.22534.30045.3755SE +/- 0.013, N = 3SE +/- 0.010, N = 3SE +/- 0.012, N = 3SE +/- 0.008, N = 34.7614.7704.7784.7781. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 4.74 / Avg: 4.76 / Max: 4.79Min: 4.75 / Avg: 4.77 / Max: 4.79Min: 4.76 / Avg: 4.78 / Max: 4.8Min: 4.76 / Avg: 4.78 / 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: 250 - Mode: Read WriteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324K8K12K16K20KSE +/- 56.33, N = 3SE +/- 67.51, N = 3SE +/- 52.38, N = 3SE +/- 52.35, N = 3193001919619253192441. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323K6K9K12K15KMin: 19191.84 / Avg: 19299.63 / Max: 19381.9Min: 19104.47 / Avg: 19196.45 / Max: 19328.05Min: 19162.11 / Avg: 19253.34 / Max: 19343.53Min: 19144.94 / Avg: 19243.94 / Max: 19322.951. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 312.9613.0312.9913.001. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620Min: 12.9 / Avg: 12.96 / Max: 13.03Min: 12.94 / Avg: 13.03 / Max: 13.09Min: 12.93 / Avg: 12.99 / Max: 13.05Min: 12.94 / Avg: 13 / Max: 13.061. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 36.076.066.016.011. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 6.06 / Avg: 6.07 / Max: 6.09Min: 6.05 / Avg: 6.06 / Max: 6.06Min: 6 / Avg: 6.01 / Max: 6.02Min: 6.01 / Avg: 6.01 / Max: 6.021. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 38.818.808.758.761. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 8.8 / Avg: 8.81 / Max: 8.82Min: 8.79 / Avg: 8.8 / Max: 8.81Min: 8.75 / Avg: 8.75 / Max: 8.76Min: 8.75 / Avg: 8.76 / Max: 8.761. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 326.7226.7226.7226.711. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430Min: 26.71 / Avg: 26.72 / Max: 26.73Min: 26.71 / Avg: 26.72 / Max: 26.72Min: 26.7 / Avg: 26.72 / Max: 26.75Min: 26.71 / Avg: 26.71 / Max: 26.721. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250100150200250SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.21, N = 3SE +/- 0.05, N = 3213.73213.52213.58213.411. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324080120160200Min: 213.57 / Avg: 213.73 / Max: 213.9Min: 213.38 / Avg: 213.52 / Max: 213.64Min: 213.21 / Avg: 213.58 / Max: 213.95Min: 213.32 / Avg: 213.41 / Max: 213.471. (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: ETC1SEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321224364860SE +/- 0.21, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 353.7154.0953.9954.021. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321122334455Min: 53.29 / Avg: 53.71 / Max: 53.98Min: 53.93 / Avg: 54.09 / Max: 54.32Min: 53.81 / Avg: 53.99 / Max: 54.21Min: 53.92 / Avg: 54.02 / Max: 54.151. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.022, N = 3SE +/- 0.016, N = 3SE +/- 0.014, N = 3SE +/- 0.014, N = 38.0738.0557.9577.9431. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 8.05 / Avg: 8.07 / Max: 8.12Min: 8.03 / Avg: 8.06 / Max: 8.09Min: 7.93 / Avg: 7.96 / Max: 7.97Min: 7.93 / Avg: 7.94 / Max: 7.971. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240SE +/- 0.40, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 333.1632.4232.3332.361. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835Min: 32.45 / Avg: 33.16 / Max: 33.84Min: 32.42 / Avg: 32.42 / Max: 32.44Min: 32.32 / Avg: 32.33 / Max: 32.35Min: 32.33 / Avg: 32.36 / Max: 32.391. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321326395265SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 360.1460.1760.0560.061. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321224364860Min: 60.13 / Avg: 60.13 / Max: 60.14Min: 60.16 / Avg: 60.17 / Max: 60.19Min: 60.05 / Avg: 60.05 / Max: 60.06Min: 60.02 / Avg: 60.06 / Max: 60.091. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32140280420560700SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3656.00655.82655.52655.671. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32120240360480600Min: 655.86 / Avg: 656 / Max: 656.25Min: 655.7 / Avg: 655.82 / Max: 655.89Min: 655.33 / Avg: 655.51 / Max: 655.63Min: 655.28 / Avg: 655.67 / Max: 655.971. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321530456075SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 367.6467.6366.7266.781. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321326395265Min: 67.46 / Avg: 67.64 / Max: 67.78Min: 67.12 / Avg: 67.63 / Max: 68.05Min: 66.54 / Avg: 66.72 / Max: 67.05Min: 66.69 / Avg: 66.78 / Max: 66.891. (CC) gcc options: -O2 -ldl -lz -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: Boat - Acceleration: CPU-onlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.23372.46743.70114.93486.1685SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 35.4835.4645.4275.423
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Boat - Acceleration: CPU-onlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 5.48 / Avg: 5.48 / Max: 5.49Min: 5.46 / Avg: 5.46 / Max: 5.47Min: 5.41 / Avg: 5.43 / Max: 5.43Min: 5.42 / Avg: 5.42 / Max: 5.43

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.20892.41783.62674.83566.0445SE +/- 0.016, N = 3SE +/- 0.008, N = 3SE +/- 0.026, N = 3SE +/- 0.018, N = 35.3735.3385.3325.305
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Masskrug - Acceleration: CPU-onlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 5.35 / Avg: 5.37 / Max: 5.4Min: 5.33 / Avg: 5.34 / Max: 5.36Min: 5.28 / Avg: 5.33 / Max: 5.36Min: 5.29 / Avg: 5.31 / Max: 5.34

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.03350.0670.10050.1340.1675SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.002, N = 50.1490.1490.1470.149
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Rack - Acceleration: CPU-onlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212345Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.16

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.75941.51882.27823.03763.797SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.004, N = 33.3753.3693.3403.338
OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.0.1Test: Server Room - Acceleration: CPU-onlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 3.37 / Avg: 3.37 / Max: 3.38Min: 3.36 / Avg: 3.37 / Max: 3.38Min: 3.33 / Avg: 3.34 / Max: 3.35Min: 3.33 / Avg: 3.34 / Max: 3.35

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321224364860SE +/- 0.58, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 353.2353.1253.0453.26
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321122334455Min: 52.6 / Avg: 53.23 / Max: 54.39Min: 52.87 / Avg: 53.12 / Max: 53.26Min: 52.74 / Avg: 53.04 / Max: 53.41Min: 53.06 / Avg: 53.26 / Max: 53.64

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 326.4926.5326.5526.44
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430Min: 26.43 / Avg: 26.48 / Max: 26.56Min: 26.37 / Avg: 26.53 / Max: 26.61Min: 26.5 / Avg: 26.55 / Max: 26.62Min: 26.3 / Avg: 26.44 / Max: 26.53

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321428425670SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 361.8161.3460.0760.181. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321224364860Min: 61.68 / Avg: 61.81 / Max: 62.04Min: 61.25 / Avg: 61.34 / Max: 61.5Min: 60.01 / Avg: 60.07 / Max: 60.13Min: 60.1 / Avg: 60.18 / Max: 60.321. RawTherapee, version 5.8, command line.

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400K800K1200K1600K2000KSE +/- 77159.71, N = 12SE +/- 8623.36, N = 3SE +/- 21990.58, N = 15SE +/- 20826.54, N = 31569708.371260811.791877633.451234877.791. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32300K600K900K1200K1500KMin: 1154882.25 / Avg: 1569708.37 / Max: 1915770Min: 1245648.88 / Avg: 1260811.79 / Max: 1275510.25Min: 1706757.62 / Avg: 1877633.45 / Max: 2016129.12Min: 1193317.38 / Avg: 1234877.79 / Max: 1258062.881. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32300K600K900K1200K1500KSE +/- 11583.92, N = 3SE +/- 18393.06, N = 15SE +/- 16864.86, N = 15SE +/- 16422.46, N = 151493525.211557960.001535427.171561373.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32300K600K900K1200K1500KMin: 1470682.38 / Avg: 1493525.21 / Max: 1508295.62Min: 1472801.12 / Avg: 1557960 / Max: 1658374.88Min: 1437149.5 / Avg: 1535427.17 / Max: 1652945.38Min: 1455650.75 / Avg: 1561373.62 / Max: 1655735.121. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32300K600K900K1200K1500KSE +/- 11292.50, N = 3SE +/- 14430.31, N = 3SE +/- 12278.41, N = 3SE +/- 16842.56, N = 41181018.381152592.121148943.161163344.781. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32200K400K600K800K1000KMin: 1163162.75 / Avg: 1181018.38 / Max: 1201923Min: 1130052 / Avg: 1152592.12 / Max: 1179471.75Min: 1126270.25 / Avg: 1148943.16 / Max: 1168448.62Min: 1135182.75 / Avg: 1163344.78 / Max: 1206388.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400K800K1200K1600K2000KSE +/- 18942.78, N = 15SE +/- 19916.88, N = 6SE +/- 24339.92, N = 3SE +/- 19752.41, N = 51638041.741657029.291706373.291601756.531. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32300K600K900K1200K1500KMin: 1562500 / Avg: 1638041.74 / Max: 1788908.75Min: 1592356.62 / Avg: 1657029.29 / Max: 1718378Min: 1664159.75 / Avg: 1706373.29 / Max: 1748475.5Min: 1540930.75 / Avg: 1601756.53 / Max: 1647551.881. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32300K600K900K1200K1500KSE +/- 12636.25, N = 3SE +/- 13042.55, N = 15SE +/- 12320.00, N = 15SE +/- 23164.07, N = 31385522.211355336.781339921.931345153.591. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32200K400K600K800K1000KMin: 1370389 / Avg: 1385522.21 / Max: 1410617.75Min: 1257861.62 / Avg: 1355336.78 / Max: 1422475.12Min: 1280450.62 / Avg: 1339921.93 / Max: 1418439.75Min: 1298826 / Avg: 1345153.59 / Max: 1368514.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -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: MMAPEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150SE +/- 0.59, N = 3SE +/- 0.31, N = 3SE +/- 0.55, N = 3SE +/- 0.29, N = 3117.95115.76118.82118.261. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220406080100Min: 116.98 / Avg: 117.95 / Max: 119.02Min: 115.16 / Avg: 115.76 / Max: 116.16Min: 117.72 / Avg: 118.82 / Max: 119.45Min: 117.72 / Avg: 118.26 / Max: 118.721. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250100150200250SE +/- 1.09, N = 3SE +/- 1.15, N = 3SE +/- 0.98, N = 3SE +/- 0.98, N = 3204.44204.56203.43206.541. (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: NUMAEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324080120160200Min: 202.4 / Avg: 204.44 / Max: 206.14Min: 202.26 / Avg: 204.56 / Max: 205.82Min: 202.36 / Avg: 203.43 / Max: 205.39Min: 205.38 / Avg: 206.54 / Max: 208.481. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32100200300400500SE +/- 1.21, N = 3SE +/- 0.47, N = 3SE +/- 0.58, N = 3SE +/- 0.20, N = 3447.35447.70446.67449.181. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3280160240320400Min: 445.08 / Avg: 447.35 / Max: 449.22Min: 446.78 / Avg: 447.7 / Max: 448.34Min: 445.7 / Avg: 446.67 / Max: 447.71Min: 448.82 / Avg: 449.18 / Max: 449.51. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32110K220K330K440K550KSE +/- 90.94, N = 3SE +/- 67.11, N = 3SE +/- 114.36, N = 3SE +/- 215.15, N = 3508516.46508189.34508333.11508219.031. (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: AtomicEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3290K180K270K360K450KMin: 508393.25 / Avg: 508516.46 / Max: 508693.92Min: 508115.53 / Avg: 508189.34 / Max: 508323.33Min: 508180.58 / Avg: 508333.11 / Max: 508556.98Min: 507805.42 / Avg: 508219.03 / Max: 508528.61. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325001000150020002500SE +/- 1.45, N = 3SE +/- 2.23, N = 3SE +/- 1.19, N = 3SE +/- 2.70, N = 32281.782278.502281.752277.991. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000Min: 2279.21 / Avg: 2281.78 / Max: 2284.23Min: 2275.12 / Avg: 2278.5 / Max: 2282.71Min: 2279.45 / Avg: 2281.75 / Max: 2283.4Min: 2274.64 / Avg: 2277.99 / Max: 2283.341. (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: MallocEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230M60M90M120M150MSE +/- 325152.51, N = 3SE +/- 164506.21, N = 3SE +/- 207619.90, N = 3SE +/- 71507.11, N = 3123537107.98123864292.94123497348.08123621581.571. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220M40M60M80M100MMin: 122887838.93 / Avg: 123537107.98 / Max: 123893518.72Min: 123572853.76 / Avg: 123864292.94 / Max: 124142240.68Min: 123082214.78 / Avg: 123497348.08 / Max: 123713058.53Min: 123501171.14 / Avg: 123621581.57 / Max: 123748613.41. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F328K16K24K32K40KSE +/- 217.80, N = 3SE +/- 178.62, N = 3SE +/- 141.54, N = 3SE +/- 24.33, N = 336301.3036285.4036505.9536468.021. (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: ForkingEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F326K12K18K24K30KMin: 35887.07 / Avg: 36301.3 / Max: 36625.1Min: 35969.56 / Avg: 36285.4 / Max: 36587.9Min: 36249.97 / Avg: 36505.95 / Max: 36738.6Min: 36422.3 / Avg: 36468.02 / Max: 36505.31. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230K60K90K120K150KSE +/- 7.27, N = 3SE +/- 66.48, N = 3SE +/- 143.47, N = 3SE +/- 127.34, N = 3147411.87147737.00148344.17148607.541. (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: SENDFILEEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230K60K90K120K150KMin: 147402.22 / Avg: 147411.87 / Max: 147426.1Min: 147607.48 / Avg: 147737 / Max: 147827.79Min: 148078.26 / Avg: 148344.17 / Max: 148570.48Min: 148421.1 / Avg: 148607.54 / Max: 148851.021. (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: CPU CacheEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835SE +/- 1.48, N = 12SE +/- 0.41, N = 3SE +/- 0.65, N = 15SE +/- 0.90, N = 1227.0024.0829.3527.601. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835Min: 18.63 / Avg: 27 / Max: 36.1Min: 23.6 / Avg: 24.08 / Max: 24.9Min: 24.93 / Avg: 29.35 / Max: 34.03Min: 22.9 / Avg: 27.6 / Max: 32.531. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F327001400210028003500SE +/- 3.58, N = 3SE +/- 4.03, N = 3SE +/- 8.75, N = 3SE +/- 7.11, N = 33135.663116.713114.043123.991. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325001000150020002500Min: 3128.51 / Avg: 3135.66 / Max: 3139.42Min: 3110.5 / Avg: 3116.71 / Max: 3124.26Min: 3097.45 / Avg: 3114.04 / Max: 3127.17Min: 3116.46 / Avg: 3123.99 / Max: 3138.211. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32300K600K900K1200K1500KSE +/- 736.68, N = 3SE +/- 18832.11, N = 3SE +/- 7307.03, N = 3SE +/- 3067.85, N = 31139913.861169255.411147874.841141024.841. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32200K400K600K800K1000KMin: 1138747.05 / Avg: 1139913.86 / Max: 1141276.37Min: 1140285.7 / Avg: 1169255.41 / Max: 1204585.21Min: 1137813.91 / Avg: 1147874.84 / Max: 1162084.7Min: 1137466.87 / Avg: 1141024.84 / Max: 1147132.881. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F328K16K24K32K40KSE +/- 77.23, N = 3SE +/- 184.36, N = 3SE +/- 114.31, N = 3SE +/- 105.68, N = 339480.8939353.7539367.1639516.441. (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: Matrix MathEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F327K14K21K28K35KMin: 39377.66 / Avg: 39480.89 / Max: 39632.01Min: 38985.74 / Avg: 39353.75 / Max: 39557.39Min: 39242.55 / Avg: 39367.16 / Max: 39595.46Min: 39305.14 / Avg: 39516.44 / Max: 39626.071. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3215K30K45K60K75KSE +/- 1.90, N = 3SE +/- 2.98, N = 3SE +/- 3.37, N = 3SE +/- 1.44, N = 371483.0671489.9271485.2171482.351. (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: Vector MathEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212K24K36K48K60KMin: 71480.91 / Avg: 71483.06 / Max: 71486.85Min: 71484.47 / Avg: 71489.92 / Max: 71494.73Min: 71480 / Avg: 71485.21 / Max: 71491.51Min: 71480.16 / Avg: 71482.35 / Max: 71485.071. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3211002200330044005500SE +/- 12.12, N = 3SE +/- 13.39, N = 3SE +/- 4.17, N = 3SE +/- 16.77, N = 35048.225081.015072.035078.151. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F329001800270036004500Min: 5024.3 / Avg: 5048.22 / Max: 5063.54Min: 5054.32 / Avg: 5081.01 / Max: 5096.19Min: 5064.03 / Avg: 5072.03 / Max: 5078.05Min: 5057.01 / Avg: 5078.15 / Max: 5111.271. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3213002600390052006500SE +/- 39.32, N = 3SE +/- 33.48, N = 3SE +/- 55.27, N = 3SE +/- 48.96, N = 35972.685955.265879.295964.251. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3210002000300040005000Min: 5906.89 / Avg: 5972.68 / Max: 6042.9Min: 5908.25 / Avg: 5955.26 / Max: 6020.06Min: 5769.22 / Avg: 5879.29 / Max: 5943.1Min: 5890.44 / Avg: 5964.25 / Max: 6056.891. (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: Context SwitchingEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32900K1800K2700K3600K4500KSE +/- 19983.41, N = 3SE +/- 5248.88, N = 3SE +/- 11847.64, N = 3SE +/- 19009.50, N = 34288848.594293892.254261220.914260848.251. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32700K1400K2100K2800K3500KMin: 4255474.94 / Avg: 4288848.59 / Max: 4324579.03Min: 4288517.96 / Avg: 4293892.25 / Max: 4304389Min: 4244361.15 / Avg: 4261220.91 / Max: 4284069.9Min: 4235473.74 / Avg: 4260848.25 / Max: 4298054.561. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32120K240K360K480K600KSE +/- 1821.33, N = 3SE +/- 2014.93, N = 3SE +/- 2244.33, N = 3SE +/- 2907.89, N = 3576312.16575041.49570298.09573119.851. (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 C String FunctionsEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32100K200K300K400K500KMin: 572682.79 / Avg: 576312.16 / Max: 578396.19Min: 572899.38 / Avg: 575041.49 / Max: 579068.62Min: 565809.59 / Avg: 570298.09 / Max: 572575.99Min: 567914.3 / Avg: 573119.85 / Max: 577968.531. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150SE +/- 1.14, N = 3SE +/- 0.87, N = 3SE +/- 0.21, N = 3SE +/- 1.28, N = 3133.34134.25134.36134.111. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150Min: 132.13 / Avg: 133.34 / Max: 135.63Min: 132.57 / Avg: 134.25 / Max: 135.5Min: 134.1 / Avg: 134.36 / Max: 134.77Min: 131.9 / Avg: 134.11 / Max: 136.331. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.6M3.2M4.8M6.4M8MSE +/- 56140.49, N = 14SE +/- 83090.36, N = 3SE +/- 65785.68, N = 13SE +/- 110315.15, N = 37089085.987264968.427156368.317224246.171. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.3M2.6M3.9M5.2M6.5MMin: 6729873.32 / Avg: 7089085.98 / Max: 7484271.78Min: 7119233.78 / Avg: 7264968.42 / Max: 7406995.6Min: 6773049.04 / Avg: 7156368.31 / Max: 7655546.84Min: 7009777.93 / Avg: 7224246.17 / Max: 7376322.531. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3215K30K45K60K75KSE +/- 22.93, N = 3SE +/- 19.80, N = 3SE +/- 35.55, N = 3SE +/- 27.36, N = 3698986982769834699111. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3212K24K36K48K60KMin: 69863 / Avg: 69897.67 / Max: 69941Min: 69803 / Avg: 69826.67 / Max: 69866Min: 69782 / Avg: 69834 / Max: 69902Min: 69856 / Avg: 69910.67 / Max: 699401. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230K60K90K120K150KSE +/- 87.37, N = 3SE +/- 179.02, N = 3SE +/- 150.34, N = 3SE +/- 114.16, N = 31395571398561397081397951. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220K40K60K80K100KMin: 139437 / Avg: 139557 / Max: 139727Min: 139591 / Avg: 139856 / Max: 140197Min: 139531 / Avg: 139708 / Max: 140007Min: 139603 / Avg: 139795 / Max: 1399981. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3240K80K120K160K200KSE +/- 99.22, N = 3SE +/- 47.80, N = 3SE +/- 8.14, N = 3SE +/- 18.55, N = 31697561697631696441698341. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230K60K90K120K150KMin: 169607 / Avg: 169756 / Max: 169944Min: 169671 / Avg: 169762.67 / Max: 169832Min: 169629 / Avg: 169644 / Max: 169657Min: 169800 / Avg: 169833.67 / Max: 1698641. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3270K140K210K280K350KSE +/- 129.25, N = 3SE +/- 224.38, N = 3SE +/- 201.28, N = 3SE +/- 158.50, N = 33394763401913395663398611. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3260K120K180K240K300KMin: 339225 / Avg: 339476 / Max: 339655Min: 339744 / Avg: 340191.33 / Max: 340446Min: 339277 / Avg: 339565.67 / Max: 339953Min: 339584 / Avg: 339860.67 / Max: 3401331. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250100150200250SE +/- 0.75, N = 3SE +/- 0.71, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3205.22204.61203.58203.761. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324080120160200Min: 203.87 / Avg: 205.22 / Max: 206.46Min: 203.66 / Avg: 204.61 / Max: 206.01Min: 203.46 / Avg: 203.58 / Max: 203.71Min: 203.7 / Avg: 203.76 / Max: 203.861. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

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: SqueezeNetV1.0EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.033, N = 3SE +/- 0.023, N = 3SE +/- 0.004, N = 3SE +/- 0.010, N = 39.4409.4599.4609.501MIN: 9.29 / MAX: 11.62MIN: 9.3 / MAX: 11.91MIN: 9.35 / MAX: 11.98MIN: 9.38 / MAX: 25.951. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 9.39 / Avg: 9.44 / Max: 9.5Min: 9.41 / Avg: 9.46 / Max: 9.49Min: 9.45 / Avg: 9.46 / Max: 9.46Min: 9.48 / Avg: 9.5 / Max: 9.521. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 334.1834.2834.1134.27MIN: 32.62 / MAX: 46.63MIN: 32.64 / MAX: 48.96MIN: 32.5 / MAX: 49.05MIN: 32.44 / MAX: 46.741. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835Min: 34.01 / Avg: 34.18 / Max: 34.36Min: 33.94 / Avg: 34.28 / Max: 34.62Min: 33.78 / Avg: 34.11 / Max: 34.37Min: 34.15 / Avg: 34.27 / Max: 34.431. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321.07512.15023.22534.30045.3755SE +/- 0.035, N = 3SE +/- 0.010, N = 3SE +/- 0.034, N = 3SE +/- 0.018, N = 34.6964.7404.7784.741MIN: 4.49 / MAX: 19.65MIN: 4.58 / MAX: 5.53MIN: 4.57 / MAX: 7.67MIN: 4.6 / MAX: 7.191. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 4.63 / Avg: 4.7 / Max: 4.75Min: 4.72 / Avg: 4.74 / Max: 4.75Min: 4.71 / Avg: 4.78 / Max: 4.83Min: 4.71 / Avg: 4.74 / Max: 4.771. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.025, N = 3SE +/- 0.007, N = 3SE +/- 0.030, N = 3SE +/- 0.018, N = 36.5436.5706.5686.545MIN: 6.41 / MAX: 8.65MIN: 6.49 / MAX: 10.21MIN: 6.47 / MAX: 8.3MIN: 6.43 / MAX: 7.721. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 6.5 / Avg: 6.54 / Max: 6.58Min: 6.56 / Avg: 6.57 / Max: 6.58Min: 6.54 / Avg: 6.57 / Max: 6.63Min: 6.51 / Avg: 6.55 / Max: 6.571. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32918273645SE +/- 0.44, N = 3SE +/- 0.18, N = 3SE +/- 0.98, N = 3SE +/- 0.19, N = 338.4138.3339.1238.19MIN: 37.22 / MAX: 52.11MIN: 37.5 / MAX: 52.01MIN: 37.49 / MAX: 51.7MIN: 37.4 / MAX: 52.331. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240Min: 37.75 / Avg: 38.41 / Max: 39.25Min: 38.11 / Avg: 38.33 / Max: 38.7Min: 38.13 / Avg: 39.12 / Max: 41.07Min: 37.97 / Avg: 38.19 / Max: 38.561. (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

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: squeezenetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 318.4918.4718.3918.40MIN: 17.9 / MAX: 20.75MIN: 17.91 / MAX: 19.99MIN: 17.95 / MAX: 20.36MIN: 17.96 / MAX: 19.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025Min: 18.44 / Avg: 18.49 / Max: 18.58Min: 18.44 / Avg: 18.47 / Max: 18.49Min: 18.38 / Avg: 18.39 / Max: 18.4Min: 18.34 / Avg: 18.4 / Max: 18.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 320.0120.0320.0420.07MIN: 19.46 / MAX: 21.87MIN: 19.47 / MAX: 21.24MIN: 19.49 / MAX: 21.27MIN: 19.42 / MAX: 21.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025Min: 19.98 / Avg: 20.01 / Max: 20.04Min: 19.96 / Avg: 20.03 / Max: 20.1Min: 19.99 / Avg: 20.04 / Max: 20.11Min: 19.94 / Avg: 20.07 / Max: 20.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 36.836.956.866.86MIN: 6.52 / MAX: 8.8MIN: 6.53 / MAX: 74.3MIN: 6.53 / MAX: 10.87MIN: 6.56 / MAX: 9.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 6.79 / Avg: 6.83 / Max: 6.87Min: 6.82 / Avg: 6.95 / Max: 7.18Min: 6.81 / Avg: 6.86 / Max: 6.9Min: 6.82 / Avg: 6.86 / Max: 6.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 36.786.766.816.79MIN: 6.61 / MAX: 8.68MIN: 5.99 / MAX: 8.27MIN: 5.92 / MAX: 10.28MIN: 6.62 / MAX: 8.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 6.74 / Avg: 6.78 / Max: 6.8Min: 6.75 / Avg: 6.76 / Max: 6.76Min: 6.76 / Avg: 6.81 / Max: 6.85Min: 6.77 / Avg: 6.79 / Max: 6.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.287.277.327.30MIN: 7.17 / MAX: 8.64MIN: 7.16 / MAX: 8.78MIN: 7.13 / MAX: 10.82MIN: 7.13 / MAX: 8.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 7.25 / Avg: 7.28 / Max: 7.31Min: 7.23 / Avg: 7.27 / Max: 7.3Min: 7.28 / Avg: 7.32 / Max: 7.34Min: 7.29 / Avg: 7.3 / Max: 7.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 36.596.586.576.03MIN: 6.48 / MAX: 7.05MIN: 6.47 / MAX: 8.35MIN: 6.48 / MAX: 6.78MIN: 5.79 / MAX: 7.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 6.56 / Avg: 6.59 / Max: 6.6Min: 6.57 / Avg: 6.58 / Max: 6.6Min: 6.56 / Avg: 6.57 / Max: 6.58Min: 5.97 / Avg: 6.03 / Max: 6.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 39.419.409.449.43MIN: 9.25 / MAX: 10.23MIN: 9.25 / MAX: 11.6MIN: 9.28 / MAX: 9.71MIN: 9.23 / MAX: 10.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 9.38 / Avg: 9.41 / Max: 9.47Min: 9.38 / Avg: 9.4 / Max: 9.42Min: 9.4 / Avg: 9.44 / Max: 9.46Min: 9.37 / Avg: 9.43 / Max: 9.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.61651.2331.84952.4663.0825SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.732.722.742.73MIN: 2.63 / MAX: 2.92MIN: 2.63 / MAX: 2.99MIN: 2.64 / MAX: 3.07MIN: 2.61 / MAX: 3.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 2.72 / Avg: 2.73 / Max: 2.74Min: 2.7 / Avg: 2.72 / Max: 2.74Min: 2.72 / Avg: 2.74 / Max: 2.75Min: 2.72 / Avg: 2.73 / Max: 2.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3248121620SE +/- 0.17, N = 3SE +/- 0.06, N = 3SE +/- 0.34, N = 3SE +/- 0.06, N = 317.8317.9817.4916.61MIN: 16.01 / MAX: 67.95MIN: 17.67 / MAX: 19.63MIN: 15.94 / MAX: 18.41MIN: 15.92 / MAX: 70.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025Min: 17.63 / Avg: 17.83 / Max: 18.16Min: 17.89 / Avg: 17.98 / Max: 18.1Min: 16.85 / Avg: 17.49 / Max: 18Min: 16.52 / Avg: 16.61 / Max: 16.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.26, N = 332.8232.7232.6132.91MIN: 32.57 / MAX: 34.97MIN: 32.4 / MAX: 33.51MIN: 32.37 / MAX: 34.21MIN: 32.42 / MAX: 103.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835Min: 32.81 / Avg: 32.82 / Max: 32.83Min: 32.58 / Avg: 32.72 / Max: 32.81Min: 32.61 / Avg: 32.61 / Max: 32.62Min: 32.64 / Avg: 32.91 / Max: 33.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 311.7911.8911.9011.78MIN: 11.61 / MAX: 13.69MIN: 11.63 / MAX: 12.66MIN: 11.56 / MAX: 48.3MIN: 11.58 / MAX: 15.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 11.77 / Avg: 11.79 / Max: 11.81Min: 11.78 / Avg: 11.89 / Max: 11.99Min: 11.73 / Avg: 11.9 / Max: 12.01Min: 11.76 / Avg: 11.78 / Max: 11.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 38.648.628.638.64MIN: 8.54 / MAX: 9.23MIN: 8.48 / MAX: 9.53MIN: 8.51 / MAX: 11.34MIN: 8.52 / MAX: 9.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323691215Min: 8.63 / Avg: 8.64 / Max: 8.64Min: 8.61 / Avg: 8.62 / Max: 8.63Min: 8.6 / Avg: 8.63 / Max: 8.65Min: 8.63 / Avg: 8.64 / Max: 8.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 323.2123.6023.1423.14MIN: 22.94 / MAX: 24.24MIN: 23.18 / MAX: 24.8MIN: 22.74 / MAX: 55.4MIN: 22.67 / MAX: 51.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430Min: 23.17 / Avg: 23.21 / Max: 23.25Min: 23.49 / Avg: 23.6 / Max: 23.68Min: 23.06 / Avg: 23.14 / Max: 23.21Min: 22.93 / Avg: 23.14 / Max: 23.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32714212835SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 328.6628.6228.6228.67MIN: 28.16 / MAX: 30.02MIN: 28.07 / MAX: 41.18MIN: 28.06 / MAX: 30.31MIN: 28.15 / MAX: 29.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430Min: 28.63 / Avg: 28.66 / Max: 28.69Min: 28.52 / Avg: 28.62 / Max: 28.71Min: 28.54 / Avg: 28.62 / Max: 28.66Min: 28.63 / Avg: 28.67 / Max: 28.731. (CXX) g++ options: -O3 -rdynamic -lgomp -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: MobileNet v2EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3260120180240300SE +/- 0.34, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3273.24273.46273.44273.37MIN: 272.08 / MAX: 281.81MIN: 272.45 / MAX: 291.85MIN: 272.28 / MAX: 285.42MIN: 272.11 / MAX: 283.881. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250100150200250Min: 272.77 / Avg: 273.24 / Max: 273.91Min: 273.21 / Avg: 273.46 / Max: 273.59Min: 273.21 / Avg: 273.44 / Max: 273.61Min: 273.15 / Avg: 273.37 / Max: 273.571. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3260120180240300SE +/- 1.01, N = 3SE +/- 0.51, N = 3SE +/- 0.46, N = 3SE +/- 0.76, N = 3263.15264.27264.46264.05MIN: 260.96 / MAX: 265.89MIN: 260.84 / MAX: 274.35MIN: 260.85 / MAX: 275.05MIN: 261.03 / MAX: 266.671. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250100150200250Min: 261.92 / Avg: 263.15 / Max: 265.14Min: 263.27 / Avg: 264.27 / Max: 264.89Min: 263.57 / Avg: 264.46 / Max: 265.05Min: 262.64 / Avg: 264.05 / Max: 265.271. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.47250.9451.41751.892.3625SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.092.092.102.091. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 2.08 / Avg: 2.09 / Max: 2.1Min: 2.09 / Avg: 2.09 / Max: 2.09Min: 2.09 / Avg: 2.1 / Max: 2.1Min: 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: Face Detection 0106 FP16 - Device: CPUEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000SE +/- 2.01, N = 3SE +/- 2.98, N = 3SE +/- 3.30, N = 3SE +/- 3.35, N = 31912.181909.161905.771914.541. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230060090012001500Min: 1908.57 / Avg: 1912.18 / Max: 1915.53Min: 1903.4 / Avg: 1909.16 / Max: 1913.33Min: 1899.26 / Avg: 1905.77 / Max: 1909.99Min: 1908.66 / Avg: 1914.54 / Max: 1920.251. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.47250.9451.41751.892.3625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.092.092.092.101. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 2.09 / Avg: 2.09 / Max: 2.1Min: 2.09 / Avg: 2.09 / Max: 2.09Min: 2.09 / Avg: 2.09 / Max: 2.09Min: 2.09 / Avg: 2.1 / Max: 2.11. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000SE +/- 2.47, N = 3SE +/- 1.07, N = 3SE +/- 2.63, N = 3SE +/- 1.29, N = 31911.681913.241910.001909.951. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230060090012001500Min: 1906.79 / Avg: 1911.68 / Max: 1914.75Min: 1911.14 / Avg: 1913.24 / Max: 1914.65Min: 1905.35 / Avg: 1910 / Max: 1914.45Min: 1908.25 / Avg: 1909.95 / Max: 1912.471. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.3690.7381.1071.4761.845SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 31.631.621.641.621. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.59 / Avg: 1.63 / Max: 1.65Min: 1.61 / Avg: 1.62 / Max: 1.64Min: 1.64 / Avg: 1.64 / Max: 1.64Min: 1.58 / Avg: 1.62 / Max: 1.651. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325001000150020002500SE +/- 14.53, N = 3SE +/- 7.10, N = 3SE +/- 4.04, N = 3SE +/- 18.86, N = 32429.532435.832423.082436.121. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000Min: 2412.07 / Avg: 2429.53 / Max: 2458.37Min: 2427.31 / Avg: 2435.83 / Max: 2449.93Min: 2416.36 / Avg: 2423.08 / Max: 2430.31Min: 2409.64 / Avg: 2436.12 / Max: 2472.621. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.3690.7381.1071.4761.845SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.631.631.641.641. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.61 / Avg: 1.63 / Max: 1.65Min: 1.62 / Avg: 1.63 / Max: 1.64Min: 1.64 / Avg: 1.64 / Max: 1.64Min: 1.63 / Avg: 1.64 / Max: 1.641. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F325001000150020002500SE +/- 5.11, N = 3SE +/- 1.05, N = 3SE +/- 1.38, N = 3SE +/- 6.12, N = 32429.722435.382427.712423.561. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32400800120016002000Min: 2420.4 / Avg: 2429.72 / Max: 2438.01Min: 2434.28 / Avg: 2435.38 / Max: 2437.47Min: 2425.95 / Avg: 2427.71 / Max: 2430.44Min: 2412.42 / Avg: 2423.56 / Max: 2433.531. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3211002200330044005500SE +/- 4.19, N = 3SE +/- 2.67, N = 3SE +/- 7.42, N = 3SE +/- 6.55, N = 35057.125046.915053.825048.831. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F329001800270036004500Min: 5050.62 / Avg: 5057.12 / Max: 5064.95Min: 5043.45 / Avg: 5046.91 / Max: 5052.16Min: 5039.01 / Avg: 5053.82 / Max: 5061.98Min: 5036.29 / Avg: 5048.83 / Max: 5058.371. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.17330.34660.51990.69320.8665SE +/- 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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.77 / Avg: 0.77 / Max: 0.77Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / 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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3211002200330044005500SE +/- 3.18, N = 3SE +/- 8.83, N = 3SE +/- 12.94, N = 3SE +/- 5.56, N = 35032.675039.065041.875052.421. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F329001800270036004500Min: 5028.2 / Avg: 5032.67 / Max: 5038.81Min: 5021.46 / Avg: 5039.06 / Max: 5049.13Min: 5017.17 / Avg: 5041.87 / Max: 5060.93Min: 5045.64 / Avg: 5052.42 / Max: 5063.451. (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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.17550.3510.52650.7020.8775SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.780.770.770.771. (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 FP32 - Device: CPUEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 0.77 / Avg: 0.78 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.77 / Avg: 0.77 / Max: 0.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F323K6K9K12K15KSE +/- 7.37, N = 3SE +/- 103.23, N = 3SE +/- 177.47, N = 3SE +/- 22.70, N = 314204141631409114329
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F322K4K6K8K10KMin: 14193 / Avg: 14204 / Max: 14218Min: 14011 / Avg: 14163 / Max: 14360Min: 13752 / Avg: 14090.67 / Max: 14352Min: 14285 / Avg: 14329.33 / Max: 14360

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: BedroomEPYC 7F320.40430.80861.21291.61722.0215SE +/- 0.003, N = 31.797

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

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150SE +/- 0.14, N = 3SE +/- 0.15, N = 3SE +/- 0.32, N = 3SE +/- 0.10, N = 3156.60156.39158.01155.35
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32306090120150Min: 156.38 / Avg: 156.6 / Max: 156.87Min: 156.18 / Avg: 156.39 / Max: 156.68Min: 157.64 / Avg: 158.01 / Max: 158.64Min: 155.18 / Avg: 155.35 / Max: 155.52

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32100200300400500SE +/- 0.41, N = 3SE +/- 0.34, N = 3SE +/- 0.34, N = 3SE +/- 0.73, N = 3454.65454.27459.40452.22
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3280160240320400Min: 453.99 / Avg: 454.65 / Max: 455.41Min: 453.89 / Avg: 454.27 / Max: 454.94Min: 458.8 / Avg: 459.4 / Max: 459.97Min: 450.92 / Avg: 452.22 / Max: 453.43

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250100150200250SE +/- 0.39, N = 3SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.30, N = 3208.65207.45208.75206.98
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F324080120160200Min: 208.16 / Avg: 208.65 / Max: 209.42Min: 207.14 / Avg: 207.45 / Max: 207.88Min: 208.74 / Avg: 208.75 / Max: 208.77Min: 206.48 / Avg: 206.98 / Max: 207.52

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32150300450600750SE +/- 0.12, N = 3SE +/- 0.49, N = 3SE +/- 0.33, N = 3SE +/- 0.90, N = 3684.87685.52684.91682.40
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32120240360480600Min: 684.64 / Avg: 684.87 / Max: 685.03Min: 684.67 / Avg: 685.52 / Max: 686.36Min: 684.29 / Avg: 684.91 / Max: 685.43Min: 681.21 / Avg: 682.4 / Max: 684.16

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32110220330440550SE +/- 0.11, N = 3SE +/- 0.56, N = 3SE +/- 1.05, N = 3SE +/- 0.04, N = 3509.88508.70511.83506.43
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3290180270360450Min: 509.72 / Avg: 509.88 / Max: 510.08Min: 507.88 / Avg: 508.7 / Max: 509.78Min: 510.63 / Avg: 511.83 / Max: 513.93Min: 506.39 / Avg: 506.43 / Max: 506.51

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3270M140M210M280M350MSE +/- 428639.68, N = 3SE +/- 153022.84, N = 3SE +/- 145251.55, N = 3SE +/- 316385.83, N = 3346742589.93347188909.77347140109.16347082527.191. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3260M120M180M240M300MMin: 345890763.54 / Avg: 346742589.93 / Max: 347252107.97Min: 346884791.14 / Avg: 347188909.77 / Max: 347370665.19Min: 346853146.78 / Avg: 347140109.16 / Max: 347322750.02Min: 346498604.35 / Avg: 347082527.19 / Max: 347585617.861. (CC) gcc options: -O3 -march=native -lm

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 Inference ScoreEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32300600900120015001268126512751268

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3220040060080010001125112511271118

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3250010001500200025002393239024022386

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32130K260K390K520K650KSE +/- 1194.91, N = 3SE +/- 1647.44, N = 3SE +/- 753.44, N = 3SE +/- 4215.18, N = 3620884616161619526628155
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32110K220K330K440K550KMin: 618593 / Avg: 620884.33 / Max: 622618Min: 612918 / Avg: 616160.67 / Max: 618288Min: 618259 / Avg: 619526.33 / Max: 620866Min: 619749 / Avg: 628154.67 / Max: 632916

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321224364860SE +/- 0.74, N = 3SE +/- 0.31, N = 3SE +/- 0.50, N = 3SE +/- 0.15, N = 353.7452.1853.8151.98
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F321122334455Min: 52.7 / Avg: 53.74 / Max: 55.17Min: 51.82 / Avg: 52.18 / Max: 52.8Min: 52.99 / Avg: 53.81 / Max: 54.7Min: 51.71 / Avg: 51.98 / Max: 52.23

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 336.6536.8036.6736.69
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32816243240Min: 36.58 / Avg: 36.65 / Max: 36.71Min: 36.69 / Avg: 36.8 / Max: 36.94Min: 36.64 / Avg: 36.67 / Max: 36.72Min: 36.64 / Avg: 36.69 / Max: 36.75

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.21, N = 3SE +/- 0.24, N = 323.1123.1023.3223.48
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32510152025Min: 23.1 / Avg: 23.11 / Max: 23.14Min: 23.08 / Avg: 23.1 / Max: 23.13Min: 23.1 / Avg: 23.32 / Max: 23.75Min: 23.23 / Avg: 23.48 / Max: 23.95

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.50181.00361.50542.00722.509SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.232.232.222.22
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 2.22 / Avg: 2.23 / Max: 2.25Min: 2.21 / Avg: 2.23 / Max: 2.25Min: 2.21 / Avg: 2.22 / Max: 2.22Min: 2.2 / Avg: 2.22 / Max: 2.24

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F320.3020.6040.9061.2081.51SE +/- 0.016, N = 3SE +/- 0.022, N = 15SE +/- 0.021, N = 15SE +/- 0.013, N = 31.3241.3201.3051.342MIN: 1.04 / MAX: 2.29MIN: 0.95 / MAX: 3.04MIN: 0.93 / MAX: 2.44MIN: 1.07 / MAX: 2.47
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisEPYC ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F32246810Min: 1.29 / Avg: 1.32 / Max: 1.35Min: 1.18 / Avg: 1.32 / Max: 1.44Min: 1.2 / Avg: 1.31 / Max: 1.42Min: 1.32 / Avg: 1.34 / Max: 1.36

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 ExtraEPYC 7F32 AMDEPYC 7F32AMD EPYC 7F3230K60K90K120K150K1236821248701252431238361. (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

245 Results Shown

Sockperf:
  Throughput
  Latency Ping Pong
  Latency Under Load
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
NAMD
Dolfyn
FFTE
Timed HMMer Search
Timed MAFFT Alignment
Monte Carlo Simulations of Ionised Nebulae
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
BYTE Unix Benchmark
LZ4 Compression:
  1 - Compression Speed
  1 - Decompression Speed
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
  9 - Decompression Speed
Zstd Compression:
  3
  19
LibRaw
Crafty
GraphicsMagick:
  Swirl
  Rotate
  Sharpen
  Enhanced
  Resizing
  Noise-Gaussian
  HWB Color Space
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
dav1d:
  Chimera 1080p
  Summer Nature 4K
  Summer Nature 1080p
  Chimera 1080p 10-bit
AOM AV1:
  Speed 0 Two-Pass
  Speed 4 Two-Pass
  Speed 6 Realtime
  Speed 6 Two-Pass
  Speed 8 Realtime
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 1080p - Slow
  Bosphorus 1080p - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Ultra Fast
rav1e:
  1
  5
  6
  10
SVT-AV1:
  Enc Mode 0 - 1080p
  Enc Mode 4 - 1080p
  Enc Mode 8 - 1080p
SVT-VP9:
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 1080p
x265:
  Bosphorus 4K
  Bosphorus 1080p
Coremark
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
Stockfish
asmFish
Timed Clash Compilation
Timed FFmpeg Compilation
Timed Linux Kernel Compilation
Timed LLVM Compilation
Build2
Numpy Benchmark
eSpeak-NG Speech Engine
RNNoise
OpenSSL
Apache CouchDB
KeyDB
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
PostgreSQL pgbench:
  1 - 1 - Read Only
  1 - 1 - Read Only - Average Latency
  1 - 1 - Read Write
  1 - 1 - Read Write - Average Latency
  1 - 50 - Read Only
  1 - 50 - Read Only - Average Latency
  1 - 100 - Read Only
  1 - 100 - Read Only - Average Latency
  1 - 250 - Read Only
  1 - 250 - Read Only - Average Latency
  1 - 50 - Read Write
  1 - 50 - Read Write - Average Latency
  100 - 1 - Read Only
  100 - 1 - Read Only - Average Latency
  1 - 100 - Read Write
  1 - 100 - Read Write - Average Latency
  1 - 250 - Read Write
  1 - 250 - Read Write - Average Latency
  100 - 1 - Read Write
  100 - 1 - Read Write - Average Latency
  100 - 50 - Read Only
  100 - 50 - Read Only - Average Latency
  100 - 100 - Read Only
  100 - 100 - Read Only - Average Latency
  100 - 250 - Read Only
  100 - 250 - Read Only - Average Latency
  100 - 50 - Read Write
  100 - 50 - Read Write - Average Latency
  100 - 100 - Read Write
  100 - 100 - Read Write - Average Latency
  100 - 250 - Read Write
  100 - 250 - Read Write - Average Latency
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
Basis Universal:
  ETC1S
  UASTC Level 0
  UASTC Level 2
  UASTC Level 3
  UASTC Level 2 + RDO Post-Processing
SQLite Speedtest
Darktable:
  Boat - CPU-only
  Masskrug - CPU-only
  Server Rack - CPU-only
  Server Room - CPU-only
Hugin
OCRMyPDF
RawTherapee
Redis:
  LPOP
  SADD
  LPUSH
  GET
  SET
Stress-NG:
  MMAP
  NUMA
  MEMFD
  Atomic
  Crypto
  Malloc
  Forking
  SENDFILE
  CPU Cache
  CPU Stress
  Semaphores
  Matrix Math
  Vector Math
  Memory Copying
  Socket Activity
  Context Switching
  Glibc C String Functions
  Glibc Qsort Data Sorting
  System V Message Passing
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
GPAW
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - squeezenet
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    FPS
    ms
  Face Detection 0106 FP32 - CPU:
    FPS
    ms
  Person Detection 0106 FP16 - CPU:
    FPS
    ms
  Person Detection 0106 FP32 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP32 - CPU:
    FPS
    ms
Chaos Group V-RAY
IndigoBench:
  CPU - Bedroom
  CPU - Supercar
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
Hierarchical INTegration
AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
PHPBench
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression
Sunflow Rendering System
BRL-CAD