AMD EPYC 7F52

AMD EPYC 7F52 16-Core testing with a Supermicro H11DSi-NT v2.00 (2.1 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012294-HA-AMDEPYC7F75&sor.

AMD EPYC 7F52ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionEPYC 7F52Linux 5.10.3AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse64GB280GB INTEL SSDPE21D280GAllvmpipeVE2282 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 9.3.0ext41920x10805.10.3-051003-generic (x86_64)OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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 Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8301034Java Details- OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-3ubuntu1)Python Details- Python 2.7.18rc1 + Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 7F52wireguard: clomp: Static OMP Speedupnamd: ATPase Simulation - 327,506 Atomspolyhedron: acpolyhedron: airpolyhedron: mdbxpolyhedron: doducpolyhedron: linpkpolyhedron: tfft2polyhedron: aermodpolyhedron: rnflowpolyhedron: induct2polyhedron: proteinpolyhedron: capacitapolyhedron: channel2polyhedron: fatigue2polyhedron: gas_dyn2polyhedron: test_fpu2polyhedron: mp_prop_designffte: 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 Compressionsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDbyte: 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 Timejohn-the-ripper: Blowfishjohn-the-ripper: MD5graphics-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 1080pvpxenc: Speed 0vpxenc: Speed 5x264: H.264 Video Encodingx265: Bosphorus 4Kx265: Bosphorus 1080poidn: Memorialopenvkl: vklBenchmarkopenvkl: vklBenchmarkVdbVolumeopenvkl: vklBenchmarkStructuredVolumeopenvkl: vklBenchmarkUnstructuredVolumecoremark: CoreMark Size 666 - Iterations Per Secondluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismcompress-7zip: Compress Speed Teststockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthbuild-apache: Time To Compilebuild-clash: Time To Compilebuild-ffmpeg: Time To Compilebuild-gdb: Time To Compilebuild-linux-kernel: Time To Compilebuild-mplayer: Time To Compilebuild2: Time To Compileyafaray: Total Time For Sample Sceneopm: Flow MPI Norne - 1opm: Flow MPI Norne - 2opm: Flow MPI Norne - 4opm: Flow MPI Norne - 8opm: Flow MPI Norne - 16numpy: build-eigen: Time To Compilecompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9deepspeech: CPUencode-ape: WAV To APEencode-flac: WAV To FLACencode-mp3: WAV To MP3encode-ogg: WAV To Oggencode-opus: WAV To Opus Encodeespeak: Text-To-Speech Synthesisrnnoise: tachyon: Total Timeopenssl: RSA 4096-bit Performanceaircrack-ng: node-web-tooling: keydb: gromacs: Water Benchmarkdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagedaphne: OpenMP - Euclidean Clustertensorflow-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: 1 - 100 - Read Writepgbench: 1 - 100 - Read Write - Average Latencypgbench: 1 - 250 - Read Writepgbench: 1 - 250 - Read Write - Average Latencyastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivesqlite-speedtest: Timed Time - Size 1,000hugin: Panorama Photo Assistant + Stitching Timelibreoffice: 20 Documents To PDFocrmypdf: Processing 60 Page PDF Documentoctave-benchmark: rsvg: SVG Files To PNGredis: 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 - 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-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1plaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - VGG19 - CPUplaidml: No - Inference - IMDB LSTM - CPUplaidml: No - Inference - Mobilenet - CPUplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Inference - DenseNet 201 - CPUplaidml: No - Inference - Inception V3 - CPUplaidml: No - Inference - NASNer Large - CPUopenvino: 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-Onlyecp-candle: P1B2ecp-candle: P3B1ecp-candle: P3B2pyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonnumenta-nab: EXPoSEnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointhint: FLOATai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorephpbench: PHP Benchmark Suiteencode-wavpack: WAV To WavPackmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionsunflow: Global Illumination + Image Synthesisunpack-firefox: firefox-84.0.source.tar.xzbrl-cad: VGR Performance Metricinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000EPYC 7F52Linux 5.10.3293.86750.11.142266.531.774.727.263.1821.796.1216.623.7913.8417.6142.5252.3144.1632.1259.3899888.443640659131.0519.00919212.27311.6781.6182.49817.5047.73236.3090.520.380.610.6241016145.29947.8011455.853.4910768.251.7810898.48221.576.838.187776189263901726333896619235374159741911712.005192.367521.511150.7720583.294032.763214.038015.556825.522802.868902006.801068.481992.601057.420.6759151994.621069.391.83844574.78227.67533.80110.640.312.4219.163.7434.1219.783618.766220.970420.405021.178919.635610.0610.2435.0535.9724.4440.4168.39105.120.3691.0941.4643.1860.1175.36038.531248.38252.18203.987.1623.08162.7720.9361.7614.22217.8115263784.66666768692259.8828831818093.8853838688169.9301223.273.49106803363882514624079722.396450.47933.89094.18345.11720.37975.257130.097365.373212.220168.764217.414361.917367.1083.44320.99368.2934612.5058.5627.93320.5967.98030.78120.13347.23894571.456912.7409.27432105.732.365977.6522093.9127013501090.64106296149459012727568415.069832.41343920282730.03538030.2634918270.1025143070.1955568250.449423111.822333230.0372227112.5815.356.8913.79108.8366.72150.7037.15819.5157.40224.2091915545.961565518.881216222.501753884.371350619.52229.80409.25680.78512936.214565.97332554816.8356181.28297122.8144.866244.332314681.1377530.48142981.976435.7310784.408409881.771144375.85269.5710610267.6971667143622181652363998117.37510.93334.5546.2086.57533.53019.278.497.688.987.6011.063.6917.6530.1710.697.0321.3425.9421.8944.51274.966263.03824.3520.27665.8814.536.143.1910.391.044.021988.754.011986.913.062582.883.042600.359974.700.789935.550.79273343.5777.76183.52239.80108.00354.80266.5438.585648.699899.4225432911312011317.147524.91091737.7648.3477756.88014.4667.53076.83327.208347415262.1302017681421318961855213.75352.8730.0423.361.730.82020.4342455161211752.01425736.1301.89750.11.148016.511.774.727.263.1857.636.1616.5923.8113.8417.5642.352.2144.2631.3259.39100233.055261597127.2289.03319212.25511.5231.6182.49117.5747.71636.2750.530.390.610.6241240132.310009.4911490.653.4810815.352.8110851.68027.874.738.567633247263971728667895614235374159142812532.408103.142011.522201.335934.786913.256734.737066.228775.527582.972642220.501169.572211.731148.930.9370892192.821162.781.82157581.26227.34541.83111.440.302.4119.403.7533.9819.529718.623921.060120.424620.891819.590510.1010.3135.3536.2724.5641.2771.05110.360.3701.0941.4613.1920.1165.38839.007255.72264.01212.077.223.40163.6521.2262.2714.22218.9416277364.24242472087200.3153151817665.4721346694463.1008943.273.50108209363838164644165322.684450.37634.12996.97945.26920.42875.802130.908364.936212.313166.540208.913348.105368.4584.47921.23368.1666812.5018.6107.93920.6927.97831.05120.10148.12854579.856766.0049.35424609.602.374969.3821297.6602705911085.36106510149901712661968630.970037.41346243278960.03637820.2645010470.1005071610.1985364120.467415112.048330030.3372201113.7815.356.9113.79108.8167.13850.6797.20819.5487.49225.0791228236.411503178.001174489.561630009.811323358.98248.17416.60712.74510793.924555.43332331122.5344312.12280154.7444.526266.842278162.6576518.79142907.676274.4310348.918245888.971143670.00268.948395010.7372605144039181008362841114.13210.29133.9606.1266.55132.96419.558.447.738.977.6011.143.6717.7030.0210.717.0120.9425.8421.0644.79275.506264.35724.8920.69666.7914.515.963.2110.171.044.011988.904.011989.913.072590.333.032605.519966.930.789953.070.78271103.5777.73182.89239.22108.33355.80266.7037.723662.322896.05325332611211611317.547624.71101738.6947.5470778.15914.4787.44676.75327.804347380647.3623517731434320762544113.74253.5029.9623.021.720.81820.4832423231198820.31419536.4OpenBenchmarking.org

WireGuard + Linux Networking Stack Stress Test

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestEPYC 7F52Linux 5.10.370140210280350SE +/- 0.38, N = 3SE +/- 1.23, N = 3293.87301.90

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupLinux 5.10.3EPYC 7F521122334455SE +/- 0.09, N = 3SE +/- 0.21, N = 350.150.11. (CC) gcc options: -fopenmp -O3 -lm

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7F52Linux 5.10.30.25830.51660.77491.03321.2915SE +/- 0.00082, N = 3SE +/- 0.00649, N = 31.142261.14801

Polyhedron Fortran Benchmarks

Benchmark: ac

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: acLinux 5.10.3EPYC 7F522468106.516.53

Polyhedron Fortran Benchmarks

Benchmark: air

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airEPYC 7F52Linux 5.10.30.39830.79661.19491.59321.99151.771.77

Polyhedron Fortran Benchmarks

Benchmark: mdbx

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mdbxEPYC 7F52Linux 5.10.31.0622.1243.1864.2485.314.724.72

Polyhedron Fortran Benchmarks

Benchmark: doduc

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: doducEPYC 7F52Linux 5.10.32468107.267.26

Polyhedron Fortran Benchmarks

Benchmark: linpk

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkEPYC 7F52Linux 5.10.30.71551.4312.14652.8623.57753.183.18

Polyhedron Fortran Benchmarks

Benchmark: tfft2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2EPYC 7F52Linux 5.10.3132639526521.7957.63

Polyhedron Fortran Benchmarks

Benchmark: aermod

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: aermodEPYC 7F52Linux 5.10.32468106.126.16

Polyhedron Fortran Benchmarks

Benchmark: rnflow

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowLinux 5.10.3EPYC 7F524812162016.5916.60

Polyhedron Fortran Benchmarks

Benchmark: induct2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: induct2EPYC 7F52Linux 5.10.361218243023.7923.81

Polyhedron Fortran Benchmarks

Benchmark: protein

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinEPYC 7F52Linux 5.10.34812162013.8413.84

Polyhedron Fortran Benchmarks

Benchmark: capacita

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: capacitaLinux 5.10.3EPYC 7F524812162017.5617.61

Polyhedron Fortran Benchmarks

Benchmark: channel2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: channel2Linux 5.10.3EPYC 7F52102030405042.3042.52

Polyhedron Fortran Benchmarks

Benchmark: fatigue2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue2Linux 5.10.3EPYC 7F52122436486052.2152.31

Polyhedron Fortran Benchmarks

Benchmark: gas_dyn2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: gas_dyn2EPYC 7F52Linux 5.10.3102030405044.1644.26

Polyhedron Fortran Benchmarks

Benchmark: test_fpu2

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: test_fpu2Linux 5.10.3EPYC 7F5271421283531.3232.12

Polyhedron Fortran Benchmarks

Benchmark: mp_prop_design

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mp_prop_designEPYC 7F52Linux 5.10.3132639526559.3859.39

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.10.3EPYC 7F5220K40K60K80K100KSE +/- 226.53, N = 3SE +/- 100.09, N = 3100233.0699888.441. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.10.3EPYC 7F52306090120150SE +/- 0.30, N = 3SE +/- 0.02, N = 3127.23131.051. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7F52Linux 5.10.33691215SE +/- 0.079, N = 3SE +/- 0.021, N = 39.0099.0331. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7F52Linux 5.10.340801201602001921921. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7F52Linux 5.10.33691215SE +/- 0.01, N = 3SE +/- 0.01, N = 312.2712.261. (CXX) g++ options: -O3 -pthread -lm

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7F52Linux 5.10.33691215SE +/- 0.16, N = 15SE +/- 0.24, N = 1511.6811.521. (CXX) g++ options: -O3 -pthread -lm

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultEPYC 7F52Linux 5.10.30.36410.72821.09231.45641.8205SE +/- 0.001, N = 3SE +/- 0.001, N = 31.6181.6181. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.10.3EPYC 7F520.56211.12421.68632.24842.8105SE +/- 0.000, N = 3SE +/- 0.001, N = 32.4912.4981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7F52Linux 5.10.348121620SE +/- 0.07, N = 3SE +/- 0.08, N = 317.5017.571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.10.3EPYC 7F52246810SE +/- 0.006, N = 3SE +/- 0.007, N = 37.7167.7321. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.10.3EPYC 7F52816243240SE +/- 0.05, N = 3SE +/- 0.04, N = 336.2836.311. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaLinux 5.10.3EPYC 7F520.11930.23860.35790.47720.5965SE +/- 0.00, N = 3SE +/- 0.00, N = 30.530.521. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomLinux 5.10.3EPYC 7F520.08780.17560.26340.35120.439SE +/- 0.00, N = 3SE +/- 0.00, N = 30.390.381. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsLinux 5.10.3EPYC 7F520.13730.27460.41190.54920.6865SE +/- 0.00, N = 3SE +/- 0.00, N = 30.610.611. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDLinux 5.10.3EPYC 7F520.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 30.620.621. (CXX) g++ options: -O3 -pthread

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.10.3EPYC 7F529M18M27M36M45MSE +/- 142195.68, N = 3SE +/- 336403.00, N = 341240132.341016145.2

LZ4 Compression

Compression Level: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedLinux 5.10.3EPYC 7F522K4K6K8K10KSE +/- 59.35, N = 3SE +/- 51.25, N = 310009.499947.801. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedLinux 5.10.3EPYC 7F522K4K6K8K10KSE +/- 30.69, N = 3SE +/- 42.92, N = 311490.611455.81. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7F52Linux 5.10.31224364860SE +/- 0.46, N = 8SE +/- 0.44, N = 353.4953.481. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedLinux 5.10.3EPYC 7F522K4K6K8K10KSE +/- 25.66, N = 3SE +/- 18.07, N = 810815.310768.21. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedLinux 5.10.3EPYC 7F521224364860SE +/- 0.46, N = 3SE +/- 0.32, N = 352.8151.781. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 40.67, N = 3SE +/- 4.82, N = 310898.410851.61. (CC) gcc options: -O3

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 33.83, N = 3SE +/- 75.92, N = 38221.58027.81. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7F52Linux 5.10.320406080100SE +/- 0.17, N = 3SE +/- 0.03, N = 376.874.71. (CC) gcc options: -O3 -pthread -lz -llzma

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.10.3EPYC 7F52918273645SE +/- 0.07, N = 3SE +/- 0.04, N = 338.5638.181. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7F52Linux 5.10.31.7M3.4M5.1M6.8M8.5MSE +/- 19965.32, N = 3SE +/- 30182.11, N = 3777618976332471. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

John The Ripper

Test: Blowfish

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishLinux 5.10.3EPYC 7F526K12K18K24K30KSE +/- 6.17, N = 3SE +/- 5.78, N = 326397263901. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

John The Ripper

Test: MD5

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Linux 5.10.3EPYC 7F52400K800K1200K1600K2000KSE +/- 3179.80, N = 3SE +/- 2962.73, N = 3172866717263331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

GraphicsMagick

Operation: Swirl

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SwirlEPYC 7F52Linux 5.10.32004006008001000SE +/- 1.20, N = 3SE +/- 0.33, N = 38968951. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Rotate

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: RotateEPYC 7F52Linux 5.10.3130260390520650SE +/- 5.81, N = 3SE +/- 4.04, N = 36196141. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Sharpen

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: SharpenLinux 5.10.3EPYC 7F5250100150200250SE +/- 0.33, N = 3SE +/- 0.33, N = 32352351. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Enhanced

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: EnhancedLinux 5.10.3EPYC 7F5280160240320400SE +/- 0.33, N = 3SE +/- 0.33, N = 33743741. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Resizing

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: ResizingEPYC 7F52Linux 5.10.330060090012001500SE +/- 18.67, N = 3SE +/- 9.84, N = 3159715911. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: Noise-Gaussian

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-GaussianLinux 5.10.3EPYC 7F5290180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 34284191. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

GraphicsMagick

Operation: HWB Color Space

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color SpaceLinux 5.10.3EPYC 7F5230060090012001500SE +/- 1.86, N = 3SE +/- 1.33, N = 3125311711. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7F52Linux 5.10.30.54181.08361.62542.16722.709SE +/- 0.01148, N = 3SE +/- 0.02630, N = 52.005192.40810MIN: 1.87MIN: 2.251. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUEPYC 7F52Linux 5.10.30.7071.4142.1212.8283.535SE +/- 0.01483, N = 3SE +/- 0.00548, N = 32.367523.14201MIN: 2.3MIN: 3.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUEPYC 7F52Linux 5.10.30.34250.6851.02751.371.7125SE +/- 0.00269, N = 3SE +/- 0.00375, N = 31.511151.52220MIN: 1.48MIN: 1.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUEPYC 7F52Linux 5.10.30.30060.60120.90181.20241.503SE +/- 0.010953, N = 3SE +/- 0.004643, N = 30.7720581.335930MIN: 0.72MIN: 1.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7F52Linux 5.10.31.07712.15423.23134.30845.3855SE +/- 0.01620, N = 3SE +/- 0.02803, N = 33.294034.78691MIN: 3.12MIN: 4.621. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUEPYC 7F52Linux 5.10.30.73281.46562.19842.93123.664SE +/- 0.01184, N = 3SE +/- 0.04703, N = 152.763213.25673MIN: 2.65MIN: 2.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUEPYC 7F52Linux 5.10.31.06582.13163.19744.26325.329SE +/- 0.05484, N = 3SE +/- 0.04867, N = 154.038014.73706MIN: 3.84MIN: 4.421. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7F52Linux 5.10.3246810SE +/- 0.07217, N = 3SE +/- 0.01174, N = 35.556826.22877MIN: 5.13MIN: 6.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7F52Linux 5.10.31.24372.48743.73114.97486.2185SE +/- 0.02675, N = 3SE +/- 0.01913, N = 35.522805.52758MIN: 5.32MIN: 5.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7F52Linux 5.10.30.66881.33762.00642.67523.344SE +/- 0.00136, N = 3SE +/- 0.00487, N = 32.868902.97264MIN: 2.83MIN: 2.931. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7F52Linux 5.10.35001000150020002500SE +/- 1.98, N = 3SE +/- 10.97, N = 32006.802220.50MIN: 1996.47MIN: 2191.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7F52Linux 5.10.330060090012001500SE +/- 1.05, N = 3SE +/- 1.69, N = 31068.481169.57MIN: 1062.66MIN: 1161.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7F52Linux 5.10.35001000150020002500SE +/- 6.20, N = 3SE +/- 4.81, N = 31992.602211.73MIN: 1974.03MIN: 2193.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7F52Linux 5.10.32004006008001000SE +/- 2.50, N = 3SE +/- 11.57, N = 31057.421148.93MIN: 1047.72MIN: 1133.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUEPYC 7F52Linux 5.10.30.21080.42160.63240.84321.054SE +/- 0.003167, N = 3SE +/- 0.009336, N = 30.6759150.937089MIN: 0.64MIN: 0.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7F52Linux 5.10.35001000150020002500SE +/- 7.07, N = 3SE +/- 9.42, N = 31994.622192.82MIN: 1976.29MIN: 2169.841. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7F52Linux 5.10.330060090012001500SE +/- 1.57, N = 3SE +/- 9.31, N = 31069.391162.78MIN: 1062.1MIN: 1139.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.10.3EPYC 7F520.41360.82721.24081.65442.068SE +/- 0.00255, N = 3SE +/- 0.00177, N = 31.821571.83844MIN: 1.78MIN: 1.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

dav1d

Video Input: Chimera 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pLinux 5.10.3EPYC 7F52130260390520650SE +/- 1.10, N = 3SE +/- 1.17, N = 3581.26574.78MIN: 460.79 / MAX: 716.22MIN: 454.24 / MAX: 710.141. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 4K

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KEPYC 7F52Linux 5.10.350100150200250SE +/- 0.89, N = 3SE +/- 0.24, N = 3227.67227.34MIN: 160.75 / MAX: 250.13MIN: 166.45 / MAX: 246.551. (CC) gcc options: -pthread

dav1d

Video Input: Summer Nature 1080p

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pLinux 5.10.3EPYC 7F52120240360480600SE +/- 2.05, N = 3SE +/- 1.44, N = 3541.83533.80MIN: 374.84 / MAX: 590.34MIN: 341.27 / MAX: 581.441. (CC) gcc options: -pthread

dav1d

Video Input: Chimera 1080p 10-bit

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitLinux 5.10.3EPYC 7F5220406080100SE +/- 0.07, N = 3SE +/- 0.05, N = 3111.44110.64MIN: 74.8 / MAX: 220.43MIN: 74.39 / MAX: 217.071. (CC) gcc options: -pthread

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassEPYC 7F52Linux 5.10.30.06980.13960.20940.27920.349SE +/- 0.00, N = 3SE +/- 0.00, N = 30.310.301. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 4 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7F52Linux 5.10.30.54451.0891.63352.1782.7225SE +/- 0.00, N = 3SE +/- 0.00, N = 32.422.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.10.3EPYC 7F52510152025SE +/- 0.08, N = 3SE +/- 0.09, N = 319.4019.161. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 6 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.10.3EPYC 7F520.84381.68762.53143.37524.219SE +/- 0.01, N = 3SE +/- 0.01, N = 33.753.741. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 8 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7F52Linux 5.10.3816243240SE +/- 0.23, N = 3SE +/- 0.06, N = 334.1233.981. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Embree

Binary: Pathtracer - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownEPYC 7F52Linux 5.10.3510152025SE +/- 0.07, N = 3SE +/- 0.08, N = 319.7819.53MIN: 19.53 / MAX: 20.18MIN: 19.27 / MAX: 19.84

Embree

Binary: Pathtracer ISPC - Model: Crown

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownEPYC 7F52Linux 5.10.3510152025SE +/- 0.12, N = 3SE +/- 0.16, N = 318.7718.62MIN: 18.46 / MAX: 19.39MIN: 17.94 / MAX: 19.11

Embree

Binary: Pathtracer - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonLinux 5.10.3EPYC 7F52510152025SE +/- 0.21, N = 3SE +/- 0.05, N = 321.0620.97MIN: 20.53 / MAX: 22.46MIN: 20.82 / MAX: 22.27

Embree

Binary: Pathtracer - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjLinux 5.10.3EPYC 7F52510152025SE +/- 0.03, N = 3SE +/- 0.11, N = 320.4220.41MIN: 19.57 / MAX: 20.77MIN: 19.42 / MAX: 20.8

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7F52Linux 5.10.3510152025SE +/- 0.20, N = 6SE +/- 0.03, N = 321.1820.89MIN: 20.68 / MAX: 22.95MIN: 20.71 / MAX: 22.1

Embree

Binary: Pathtracer ISPC - Model: Asian Dragon Obj

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 7F52Linux 5.10.3510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 319.6419.59MIN: 18.92 / MAX: 19.94MIN: 18.78 / MAX: 19.96

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: SlowLinux 5.10.3EPYC 7F523691215SE +/- 0.01, N = 3SE +/- 0.01, N = 310.1010.061. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 4K - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumLinux 5.10.3EPYC 7F523691215SE +/- 0.01, N = 3SE +/- 0.01, N = 310.3110.241. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Slow

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: SlowLinux 5.10.3EPYC 7F52816243240SE +/- 0.02, N = 3SE +/- 0.02, N = 335.3535.051. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Medium

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumLinux 5.10.3EPYC 7F52816243240SE +/- 0.15, N = 3SE +/- 0.02, N = 336.2735.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastLinux 5.10.3EPYC 7F52612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 324.5624.441. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastLinux 5.10.3EPYC 7F52918273645SE +/- 0.05, N = 3SE +/- 0.06, N = 341.2740.411. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Very Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastLinux 5.10.3EPYC 7F521632486480SE +/- 0.30, N = 3SE +/- 0.10, N = 371.0568.391. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Kvazaar

Video Input: Bosphorus 1080p - Video Preset: Ultra Fast

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastLinux 5.10.3EPYC 7F5220406080100SE +/- 0.45, N = 3SE +/- 0.58, N = 3110.36105.121. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1Linux 5.10.3EPYC 7F520.08330.16660.24990.33320.4165SE +/- 0.001, N = 3SE +/- 0.001, N = 30.3700.369

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 5Linux 5.10.3EPYC 7F520.24620.49240.73860.98481.231SE +/- 0.001, N = 3SE +/- 0.001, N = 31.0941.094

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 6EPYC 7F52Linux 5.10.30.32940.65880.98821.31761.647SE +/- 0.003, N = 3SE +/- 0.001, N = 31.4641.461

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 10Linux 5.10.3EPYC 7F520.71821.43642.15462.87283.591SE +/- 0.003, N = 3SE +/- 0.002, N = 33.1923.186

SVT-AV1

Encoder Mode: Enc Mode 0 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pEPYC 7F52Linux 5.10.30.02630.05260.07890.10520.1315SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1170.1161. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

SVT-AV1

Encoder Mode: Enc Mode 4 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pLinux 5.10.3EPYC 7F521.21232.42463.63694.84926.0615SE +/- 0.009, N = 3SE +/- 0.023, N = 35.3885.3601. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

SVT-AV1

Encoder Mode: Enc Mode 8 - Input: 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pLinux 5.10.3EPYC 7F52918273645SE +/- 0.06, N = 3SE +/- 0.07, N = 339.0138.531. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

SVT-VP9

Tuning: VMAF Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pLinux 5.10.3EPYC 7F5260120180240300SE +/- 2.05, N = 3SE +/- 0.71, N = 3255.72248.381. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pLinux 5.10.3EPYC 7F5260120180240300SE +/- 0.75, N = 3SE +/- 0.99, N = 3264.01252.181. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-VP9

Tuning: Visual Quality Optimized - Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pLinux 5.10.3EPYC 7F5250100150200250SE +/- 0.66, N = 3SE +/- 1.03, N = 3212.07203.981. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

VP9 libvpx Encoding

Speed: Speed 0

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0Linux 5.10.3EPYC 7F52246810SE +/- 0.00, N = 3SE +/- 0.01, N = 37.207.161. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

VP9 libvpx Encoding

Speed: Speed 5

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5Linux 5.10.3EPYC 7F52612182430SE +/- 0.10, N = 3SE +/- 0.05, N = 323.4023.081. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

x264

H.264 Video Encoding

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingLinux 5.10.3EPYC 7F524080120160200SE +/- 0.78, N = 3SE +/- 1.00, N = 3163.65162.771. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

x265

Video Input: Bosphorus 4K

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KLinux 5.10.3EPYC 7F52510152025SE +/- 0.03, N = 3SE +/- 0.07, N = 321.2220.931. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

x265

Video Input: Bosphorus 1080p

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pLinux 5.10.3EPYC 7F521428425670SE +/- 0.12, N = 3SE +/- 0.06, N = 362.2761.761. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Intel Open Image Denoise

Scene: Memorial

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialLinux 5.10.3EPYC 7F5248121620SE +/- 0.04, N = 3SE +/- 0.04, N = 314.2214.22

OpenVKL

Benchmark: vklBenchmark

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkLinux 5.10.3EPYC 7F5250100150200250SE +/- 0.38, N = 3SE +/- 0.60, N = 3218.94217.81MIN: 1 / MAX: 772MIN: 1 / MAX: 765

OpenVKL

Benchmark: vklBenchmarkVdbVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkVdbVolumeLinux 5.10.3EPYC 7F523M6M9M12M15MSE +/- 19338.94, N = 3SE +/- 100190.60, N = 316277364.2415263784.67MIN: 790262 / MAX: 65640384MIN: 798247 / MAX: 56683584

OpenVKL

Benchmark: vklBenchmarkStructuredVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkStructuredVolumeLinux 5.10.3EPYC 7F5215M30M45M60M75MSE +/- 168051.69, N = 3SE +/- 788054.78, N = 372087200.3268692259.88MIN: 921866 / MAX: 575712792MIN: 909007 / MAX: 535870728

OpenVKL

Benchmark: vklBenchmarkUnstructuredVolume

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkUnstructuredVolumeEPYC 7F52Linux 5.10.3400K800K1200K1600K2000KSE +/- 2560.46, N = 3SE +/- 1848.12, N = 31818093.891817665.47MIN: 19110 / MAX: 6113054MIN: 19297 / MAX: 6122055

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondLinux 5.10.3EPYC 7F52150K300K450K600K750KSE +/- 3903.98, N = 3SE +/- 1877.36, N = 3694463.10688169.931. (CC) gcc options: -O2 -lrt" -lrt

LuxCoreRender

Scene: DLSC

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCLinux 5.10.3EPYC 7F520.73581.47162.20742.94323.679SE +/- 0.01, N = 3SE +/- 0.01, N = 33.273.27MIN: 3.17 / MAX: 3.42MIN: 3.12 / MAX: 3.42

LuxCoreRender

Scene: Rainbow Colors and Prism

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.10.3EPYC 7F520.78751.5752.36253.153.9375SE +/- 0.01, N = 3SE +/- 0.01, N = 33.503.49MIN: 3.43 / MAX: 3.52MIN: 3.42 / MAX: 3.52

7-Zip Compression

Compress Speed Test

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestLinux 5.10.3EPYC 7F5220K40K60K80K100KSE +/- 140.42, N = 3SE +/- 904.09, N = 31082091068031. (CXX) g++ options: -pipe -lpthread

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeEPYC 7F52Linux 5.10.38M16M24M32M40MSE +/- 300939.62, N = 3SE +/- 178225.83, N = 336388251363838161. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthLinux 5.10.3EPYC 7F5210M20M30M40M50MSE +/- 434223.37, N = 3SE +/- 250444.78, N = 34644165346240797

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileEPYC 7F52Linux 5.10.3510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 322.4022.68

Timed Clash Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To CompileLinux 5.10.3EPYC 7F52100200300400500SE +/- 1.29, N = 3SE +/- 0.56, N = 3450.38450.48

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7F52Linux 5.10.3816243240SE +/- 0.08, N = 3SE +/- 0.06, N = 333.8934.13

Timed GDB GNU Debugger Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileEPYC 7F52Linux 5.10.320406080100SE +/- 0.04, N = 3SE +/- 0.11, N = 394.1896.98

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7F52Linux 5.10.31020304050SE +/- 0.50, N = 4SE +/- 0.51, N = 445.1245.27

Timed MPlayer Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileEPYC 7F52Linux 5.10.3510152025SE +/- 0.05, N = 3SE +/- 0.02, N = 320.3820.43

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7F52Linux 5.10.320406080100SE +/- 0.10, N = 3SE +/- 0.35, N = 375.2675.80

YafaRay

Total Time For Sample Scene

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneEPYC 7F52Linux 5.10.3306090120150SE +/- 0.76, N = 3SE +/- 0.50, N = 3130.10130.911. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 1

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 1Linux 5.10.3EPYC 7F5280160240320400SE +/- 0.73, N = 3SE +/- 1.92, N = 3364.94365.371. flow 2020.04

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 2

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 2EPYC 7F52Linux 5.10.350100150200250SE +/- 0.16, N = 3SE +/- 0.34, N = 3212.22212.311. flow 2020.04

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 4

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 4Linux 5.10.3EPYC 7F524080120160200SE +/- 0.30, N = 3SE +/- 0.45, N = 3166.54168.761. flow 2020.04

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 8

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 8Linux 5.10.3EPYC 7F5250100150200250SE +/- 0.17, N = 3SE +/- 0.40, N = 3208.91217.411. flow 2020.04

Open Porous Media

OPM Benchmark: Flow MPI Norne - Threads: 16

OpenBenchmarking.orgSeconds, Fewer Is BetterOpen Porous MediaOPM Benchmark: Flow MPI Norne - Threads: 16Linux 5.10.3EPYC 7F5280160240320400SE +/- 0.13, N = 3SE +/- 0.72, N = 3348.11361.921. flow 2020.04

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkLinux 5.10.3EPYC 7F5280160240320400SE +/- 0.27, N = 3SE +/- 1.66, N = 3368.45367.10

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileEPYC 7F52Linux 5.10.320406080100SE +/- 0.03, N = 3SE +/- 0.00, N = 383.4484.48

XZ Compression

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

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9EPYC 7F52Linux 5.10.3510152025SE +/- 0.05, N = 3SE +/- 0.06, N = 320.9921.231. (CC) gcc options: -pthread -fvisibility=hidden -O2

DeepSpeech

Acceleration: CPU

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPULinux 5.10.3EPYC 7F521530456075SE +/- 0.08, N = 3SE +/- 0.20, N = 368.1768.29

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APELinux 5.10.3EPYC 7F523691215SE +/- 0.01, N = 5SE +/- 0.01, N = 512.5012.511. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

FLAC Audio Encoding

WAV To FLAC

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACEPYC 7F52Linux 5.10.3246810SE +/- 0.013, N = 5SE +/- 0.005, N = 58.5628.6101. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

LAME MP3 Encoding

WAV To MP3

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3EPYC 7F52Linux 5.10.3246810SE +/- 0.004, N = 3SE +/- 0.008, N = 37.9337.9391. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

Ogg Audio Encoding

WAV To Ogg

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To OggEPYC 7F52Linux 5.10.3510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 320.6020.691. (CC) gcc options: -O2 -ffast-math -fsigned-char

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus EncodeLinux 5.10.3EPYC 7F52246810SE +/- 0.012, N = 5SE +/- 0.016, N = 57.9787.9801. (CXX) g++ options: -fvisibility=hidden -logg -lm

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7F52Linux 5.10.3714212835SE +/- 0.26, N = 4SE +/- 0.07, N = 430.7831.051. (CC) gcc options: -O2 -std=c99

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.10.3EPYC 7F52510152025SE +/- 0.02, N = 3SE +/- 0.00, N = 320.1020.131. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Tachyon

Total Time

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeEPYC 7F52Linux 5.10.31122334455SE +/- 0.36, N = 3SE +/- 0.39, N = 1547.2448.131. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceLinux 5.10.3EPYC 7F5210002000300040005000SE +/- 0.71, N = 3SE +/- 0.76, N = 34579.84571.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Aircrack-ng

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7F52Linux 5.10.312K24K36K48K60KSE +/- 72.75, N = 3SE +/- 97.98, N = 356912.7456766.001. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkLinux 5.10.3EPYC 7F523691215SE +/- 0.08, N = 3SE +/- 0.05, N = 39.359.271. Nodejs v10.19.0

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7F52Linux 5.10.390K180K270K360K450KSE +/- 3437.31, N = 3SE +/- 1060.81, N = 3432105.73424609.601. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.10.3EPYC 7F520.53421.06841.60262.13682.671SE +/- 0.002, N = 3SE +/- 0.003, N = 32.3742.3651. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7F52Linux 5.10.32004006008001000SE +/- 3.32, N = 3SE +/- 6.61, N = 3977.65969.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7F52Linux 5.10.35K10K15K20K25KSE +/- 156.61, N = 15SE +/- 123.09, N = 322093.9121297.661. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7F52Linux 5.10.32004006008001000SE +/- 1.60, N = 3SE +/- 1.78, N = 31090.641085.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7F52Linux 5.10.320K40K60K80K100KSE +/- 36.86, N = 3SE +/- 86.53, N = 3106296106510

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 1084.27, N = 3SE +/- 1266.68, N = 314945901499017

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.10.3EPYC 7F5230K60K90K120K150KSE +/- 388.72, N = 3SE +/- 356.27, N = 3126619127275

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7F52Linux 5.10.315K30K45K60K75KSE +/- 46.97, N = 3SE +/- 59.93, N = 368415.068630.9

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7F52Linux 5.10.315K30K45K60K75KSE +/- 53.57, N = 3SE +/- 9.17, N = 369832.470037.4

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 1087.40, N = 3SE +/- 1103.67, N = 313439201346243

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyEPYC 7F52Linux 5.10.36K12K18K24K30KSE +/- 403.02, N = 3SE +/- 272.58, N = 328273278961. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyEPYC 7F52Linux 5.10.30.00810.01620.02430.03240.0405SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0350.0361. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteEPYC 7F52Linux 5.10.38001600240032004000SE +/- 24.75, N = 3SE +/- 16.52, N = 3380337821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyEPYC 7F52Linux 5.10.30.05940.11880.17820.23760.297SE +/- 0.002, N = 3SE +/- 0.001, N = 30.2630.2641. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyLinux 5.10.3EPYC 7F52110K220K330K440K550KSE +/- 7128.53, N = 15SE +/- 5689.06, N = 35010474918271. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyLinux 5.10.3EPYC 7F520.0230.0460.0690.0920.115SE +/- 0.001, N = 15SE +/- 0.001, N = 30.1000.1021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 100 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read OnlyEPYC 7F52Linux 5.10.3110K220K330K440K550KSE +/- 3559.12, N = 3SE +/- 1764.57, N = 35143075071611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7F52Linux 5.10.30.04460.08920.13380.17840.223SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1950.1981. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 250 - Mode: Read Only

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read OnlyEPYC 7F52Linux 5.10.3120K240K360K480K600KSE +/- 733.28, N = 3SE +/- 1662.47, N = 35568255364121. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7F52Linux 5.10.30.10510.21020.31530.42040.5255SE +/- 0.000, N = 3SE +/- 0.001, N = 30.4490.4671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteEPYC 7F52Linux 5.10.39001800270036004500SE +/- 4.77, N = 3SE +/- 1.61, N = 3423141511. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyEPYC 7F52Linux 5.10.33691215SE +/- 0.01, N = 3SE +/- 0.00, N = 311.8212.051. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 100 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read WriteEPYC 7F52Linux 5.10.37001400210028003500SE +/- 24.88, N = 3SE +/- 35.07, N = 3333233001. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7F52Linux 5.10.3714212835SE +/- 0.22, N = 3SE +/- 0.32, N = 330.0430.341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 250 - Mode: Read Write

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read WriteEPYC 7F52Linux 5.10.35001000150020002500SE +/- 27.65, N = 15SE +/- 17.17, N = 15222722011. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

PostgreSQL pgbench

Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average Latency

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7F52Linux 5.10.3306090120150SE +/- 1.44, N = 15SE +/- 0.89, N = 15112.58113.781. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7F52Linux 5.10.31.20382.40763.61144.81526.019SE +/- 0.01, N = 3SE +/- 0.00, N = 35.355.351. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7F52Linux 5.10.3246810SE +/- 0.01, N = 3SE +/- 0.01, N = 36.896.911. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7F52Linux 5.10.348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 313.7913.791. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.10.3EPYC 7F5220406080100SE +/- 0.12, N = 3SE +/- 0.13, N = 3108.81108.831. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7F52Linux 5.10.31530456075SE +/- 0.22, N = 3SE +/- 0.02, N = 366.7267.141. (CC) gcc options: -O2 -ldl -lz -lpthread

Hugin

Panorama Photo Assistant + Stitching Time

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeLinux 5.10.3EPYC 7F521122334455SE +/- 0.25, N = 3SE +/- 0.07, N = 350.6850.70

LibreOffice

Test: 20 Documents To PDF

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDFEPYC 7F52Linux 5.10.3246810SE +/- 0.077, N = 5SE +/- 0.029, N = 57.1587.2081. LibreOffice 6.4.3.2 40(Build:2)

OCRMyPDF

Processing 60 Page PDF Document

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC 7F52Linux 5.10.3510152025SE +/- 0.07, N = 3SE +/- 0.04, N = 319.5219.55

GNU Octave Benchmark

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0EPYC 7F52Linux 5.10.3246810SE +/- 0.044, N = 5SE +/- 0.050, N = 57.4027.492

librsvg

Operation: SVG Files To PNG

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGEPYC 7F52Linux 5.10.3612182430SE +/- 0.05, N = 3SE +/- 0.11, N = 324.2125.081. rsvg-convert version 2.48.2

Redis

Test: LPOP

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPOPEPYC 7F52Linux 5.10.3400K800K1200K1600K2000KSE +/- 19724.55, N = 15SE +/- 7581.95, N = 31915545.961228236.411. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SADD

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDEPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 16740.24, N = 3SE +/- 11341.57, N = 31565518.881503178.001. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: LPUSH

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 14085.60, N = 3SE +/- 11678.97, N = 61216222.501174489.561. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: GET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7F52Linux 5.10.3400K800K1200K1600K2000KSE +/- 22488.85, N = 15SE +/- 18986.94, N = 151753884.371630009.811. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Redis

Test: SET

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 15975.34, N = 15SE +/- 10427.33, N = 151350619.521323358.981. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Stress-NG

Test: MMAP

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPLinux 5.10.3EPYC 7F5250100150200250SE +/- 0.19, N = 3SE +/- 0.32, N = 3248.17229.801. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: NUMA

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMALinux 5.10.3EPYC 7F5290180270360450SE +/- 0.07, N = 3SE +/- 2.52, N = 3416.60409.251. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: MEMFD

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDLinux 5.10.3EPYC 7F52150300450600750SE +/- 0.29, N = 3SE +/- 0.22, N = 3712.74680.781. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Atomic

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: AtomicEPYC 7F52Linux 5.10.3110K220K330K440K550KSE +/- 436.80, N = 3SE +/- 203.22, N = 3512936.21510793.921. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Crypto

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7F52Linux 5.10.310002000300040005000SE +/- 0.84, N = 3SE +/- 5.74, N = 34565.974555.431. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Malloc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MallocEPYC 7F52Linux 5.10.370M140M210M280M350MSE +/- 811855.41, N = 3SE +/- 693009.74, N = 3332554816.83332331122.531. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Forking

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: ForkingEPYC 7F52Linux 5.10.312K24K36K48K60KSE +/- 229.33, N = 3SE +/- 139.19, N = 356181.2844312.121. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: SENDFILE

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEEPYC 7F52Linux 5.10.360K120K180K240K300KSE +/- 100.47, N = 3SE +/- 302.83, N = 3297122.81280154.741. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: CPU Cache

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7F52Linux 5.10.31020304050SE +/- 1.52, N = 12SE +/- 1.40, N = 1544.8644.521. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: CPU Stress

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressLinux 5.10.3EPYC 7F5213002600390052006500SE +/- 5.69, N = 3SE +/- 22.12, N = 36266.846244.331. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Semaphores

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SemaphoresEPYC 7F52Linux 5.10.3500K1000K1500K2000K2500KSE +/- 14921.24, N = 3SE +/- 2645.51, N = 32314681.132278162.651. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Matrix Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7F52Linux 5.10.317K34K51K68K85KSE +/- 117.38, N = 3SE +/- 608.49, N = 377530.4876518.791. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Vector Math

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7F52Linux 5.10.330K60K90K120K150KSE +/- 6.50, N = 3SE +/- 19.82, N = 3142981.97142907.671. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Memory Copying

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory CopyingEPYC 7F52Linux 5.10.314002800420056007000SE +/- 58.89, N = 3SE +/- 3.47, N = 36435.736274.431. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Socket Activity

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 43.37, N = 3SE +/- 36.73, N = 310784.4010348.911. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Context Switching

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7F52Linux 5.10.32M4M6M8M10MSE +/- 27679.79, N = 3SE +/- 21287.84, N = 38409881.778245888.971. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Glibc C String Functions

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String FunctionsEPYC 7F52Linux 5.10.3200K400K600K800K1000KSE +/- 2051.22, N = 3SE +/- 2853.73, N = 31144375.851143670.001. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: Glibc Qsort Data Sorting

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data SortingEPYC 7F52Linux 5.10.360120180240300SE +/- 0.99, N = 3SE +/- 0.93, N = 3269.57268.941. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Stress-NG

Test: System V Message Passing

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message PassingEPYC 7F52Linux 5.10.32M4M6M8M10MSE +/- 128008.77, N = 15SE +/- 112749.98, N = 310610267.698395010.731. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100EPYC 7F52Linux 5.10.316K32K48K64K80KSE +/- 136.23, N = 3SE +/- 793.90, N = 371667726051. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7F52Linux 5.10.330K60K90K120K150KSE +/- 359.19, N = 3SE +/- 381.87, N = 31436221440391. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.10.3EPYC 7F5240K80K120K160K200KSE +/- 172.36, N = 3SE +/- 222.17, N = 31810081816521. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.10.3EPYC 7F5280K160K240K320K400KSE +/- 312.30, N = 3SE +/- 75.84, N = 33628413639981. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.10.3EPYC 7F52306090120150SE +/- 0.05, N = 3SE +/- 1.45, N = 4114.13117.381. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.10.3EPYC 7F523691215SE +/- 0.11, N = 15SE +/- 0.24, N = 1510.2910.93MIN: 9.72 / MAX: 23.37MIN: 9.63 / MAX: 23.961. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.10.3EPYC 7F52816243240SE +/- 0.04, N = 15SE +/- 0.05, N = 1533.9634.55MIN: 32.06 / MAX: 51.84MIN: 32.75 / MAX: 67.951. (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

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.10.3EPYC 7F52246810SE +/- 0.012, N = 15SE +/- 0.012, N = 156.1266.208MIN: 5.97 / MAX: 20.61MIN: 6.01 / MAX: 211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.10.3EPYC 7F52246810SE +/- 0.007, N = 15SE +/- 0.012, N = 156.5516.575MIN: 6.45 / MAX: 22.13MIN: 6.41 / MAX: 20.061. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.10.3EPYC 7F52816243240SE +/- 0.18, N = 15SE +/- 0.23, N = 1532.9633.53MIN: 31.71 / MAX: 49.44MIN: 31.39 / MAX: 50.331. (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

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetEPYC 7F52Linux 5.10.3510152025SE +/- 0.15, N = 15SE +/- 0.27, N = 1219.2719.55MIN: 17.82 / MAX: 79.15MIN: 17.94 / MAX: 34.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.10.3EPYC 7F52246810SE +/- 0.07, N = 12SE +/- 0.04, N = 158.448.49MIN: 6.92 / MAX: 12.58MIN: 7.06 / MAX: 72.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7F52Linux 5.10.3246810SE +/- 0.02, N = 15SE +/- 0.02, N = 127.687.73MIN: 7.21 / MAX: 12.54MIN: 7.28 / MAX: 11.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Linux 5.10.3EPYC 7F523691215SE +/- 0.02, N = 12SE +/- 0.02, N = 158.978.98MIN: 8.55 / MAX: 22.64MIN: 8.73 / MAX: 14.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetEPYC 7F52Linux 5.10.3246810SE +/- 0.02, N = 15SE +/- 0.02, N = 127.607.60MIN: 6.99 / MAX: 10.58MIN: 7.34 / MAX: 8.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0EPYC 7F52Linux 5.10.33691215SE +/- 0.03, N = 15SE +/- 0.03, N = 1211.0611.14MIN: 10.67 / MAX: 13.4MIN: 10.78 / MAX: 14.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceLinux 5.10.3EPYC 7F520.83031.66062.49093.32124.1515SE +/- 0.02, N = 12SE +/- 0.02, N = 153.673.69MIN: 3.53 / MAX: 4.35MIN: 3.52 / MAX: 75.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetEPYC 7F52Linux 5.10.348121620SE +/- 0.06, N = 15SE +/- 0.14, N = 1217.6517.70MIN: 17.22 / MAX: 117.52MIN: 17.12 / MAX: 260.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Linux 5.10.3EPYC 7F52714212835SE +/- 0.04, N = 12SE +/- 0.03, N = 1530.0230.17MIN: 29.27 / MAX: 43.79MIN: 29.55 / MAX: 90.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18EPYC 7F52Linux 5.10.33691215SE +/- 0.03, N = 15SE +/- 0.04, N = 1210.6910.71MIN: 10.34 / MAX: 13.84MIN: 10.34 / MAX: 64.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetLinux 5.10.3EPYC 7F52246810SE +/- 0.09, N = 12SE +/- 0.08, N = 157.017.03MIN: 6.57 / MAX: 10.41MIN: 6.6 / MAX: 43.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Linux 5.10.3EPYC 7F52510152025SE +/- 0.04, N = 12SE +/- 0.05, N = 1520.9421.34MIN: 20.35 / MAX: 23.55MIN: 20.69 / MAX: 102.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyLinux 5.10.3EPYC 7F52612182430SE +/- 0.21, N = 12SE +/- 0.13, N = 1525.8425.94MIN: 24.84 / MAX: 30.66MIN: 25.13 / MAX: 86.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdLinux 5.10.3EPYC 7F52510152025SE +/- 0.23, N = 12SE +/- 0.04, N = 1521.0621.89MIN: 19.62 / MAX: 77.67MIN: 21.44 / MAX: 101.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mEPYC 7F52Linux 5.10.31020304050SE +/- 0.18, N = 15SE +/- 0.14, N = 1244.5144.79MIN: 42.64 / MAX: 117.01MIN: 43.38 / MAX: 124.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2EPYC 7F52Linux 5.10.360120180240300SE +/- 0.53, N = 3SE +/- 0.42, N = 3274.97275.51MIN: 272.73 / MAX: 289.81MIN: 272.98 / MAX: 294.911. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7F52Linux 5.10.360120180240300SE +/- 0.77, N = 3SE +/- 0.25, N = 3263.04264.36MIN: 260.98 / MAX: 265.86MIN: 261.25 / MAX: 266.061. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPULinux 5.10.3EPYC 7F52612182430SE +/- 0.24, N = 3SE +/- 0.01, N = 324.8924.35

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPULinux 5.10.3EPYC 7F52510152025SE +/- 0.10, N = 3SE +/- 0.05, N = 320.6920.27

PlaidML

FP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: IMDB LSTM - Device: CPULinux 5.10.3EPYC 7F52140280420560700SE +/- 2.01, N = 3SE +/- 2.99, N = 3666.79665.88

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Mobilenet - Device: CPUEPYC 7F52Linux 5.10.348121620SE +/- 0.10, N = 3SE +/- 0.09, N = 314.5314.51

PlaidML

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

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUEPYC 7F52Linux 5.10.3246810SE +/- 0.00, N = 3SE +/- 0.08, N = 36.145.96

PlaidML

FP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: DenseNet 201 - Device: CPULinux 5.10.3EPYC 7F520.72231.44462.16692.88923.6115SE +/- 0.01, N = 3SE +/- 0.01, N = 33.213.19

PlaidML

FP16: No - Mode: Inference - Network: Inception V3 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: Inception V3 - Device: CPUEPYC 7F52Linux 5.10.33691215SE +/- 0.00, N = 3SE +/- 0.04, N = 310.3910.17

PlaidML

FP16: No - Mode: Inference - Network: NASNer Large - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: NASNer Large - Device: CPULinux 5.10.3EPYC 7F520.2340.4680.7020.9361.17SE +/- 0.00, N = 3SE +/- 0.00, N = 31.041.04

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F52Linux 5.10.30.90451.8092.71353.6184.5225SE +/- 0.00, N = 3SE +/- 0.01, N = 34.024.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7F52Linux 5.10.3400800120016002000SE +/- 1.96, N = 3SE +/- 2.02, N = 31988.751988.901. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.10.3EPYC 7F520.90231.80462.70693.60924.5115SE +/- 0.00, N = 3SE +/- 0.01, N = 34.014.011. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7F52Linux 5.10.3400800120016002000SE +/- 2.66, N = 3SE +/- 2.14, N = 31986.911989.911. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.10.3EPYC 7F520.69081.38162.07242.76323.454SE +/- 0.01, N = 3SE +/- 0.00, N = 33.073.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7F52Linux 5.10.36001200180024003000SE +/- 1.99, N = 3SE +/- 3.43, N = 32582.882590.331. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F52Linux 5.10.30.6841.3682.0522.7363.42SE +/- 0.02, N = 3SE +/- 0.01, N = 33.043.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7F52Linux 5.10.36001200180024003000SE +/- 3.48, N = 3SE +/- 2.25, N = 32600.352605.511. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7F52Linux 5.10.32K4K6K8K10KSE +/- 6.06, N = 3SE +/- 5.41, N = 39974.709966.931. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7F52Linux 5.10.30.17550.3510.52650.7020.8775SE +/- 0.00, N = 3SE +/- 0.00, N = 30.780.781. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.10.3EPYC 7F522K4K6K8K10KSE +/- 5.75, N = 3SE +/- 16.24, N = 39953.079935.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.10.3EPYC 7F520.17780.35560.53340.71120.889SE +/- 0.00, N = 3SE +/- 0.00, N = 30.780.791. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

Chaos Group V-RAY

Mode: CPU

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7F52Linux 5.10.36K12K18K24K30KSE +/- 255.78, N = 3SE +/- 33.00, N = 32733427110

IndigoBench

Acceleration: CPU - Scene: Bedroom

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomLinux 5.10.3EPYC 7F520.80481.60962.41443.21924.024SE +/- 0.002, N = 3SE +/- 0.009, N = 33.5773.577

IndigoBench

Acceleration: CPU - Scene: Supercar

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7F52Linux 5.10.3246810SE +/- 0.012, N = 3SE +/- 0.008, N = 37.7617.731

Blender

Blend File: BMW27 - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyLinux 5.10.3EPYC 7F5220406080100SE +/- 0.05, N = 3SE +/- 0.25, N = 382.8983.52

Blender

Blend File: Classroom - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyLinux 5.10.3EPYC 7F5250100150200250SE +/- 0.12, N = 3SE +/- 0.22, N = 3239.22239.80

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7F52Linux 5.10.320406080100SE +/- 0.29, N = 3SE +/- 0.08, N = 3108.00108.33

Blender

Blend File: Barbershop - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7F52Linux 5.10.380160240320400SE +/- 0.32, N = 3SE +/- 0.30, N = 3354.80355.80

Blender

Blend File: Pabellon Barcelona - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7F52Linux 5.10.360120180240300SE +/- 1.48, N = 3SE +/- 0.33, N = 3266.54266.70

ECP-CANDLE

Benchmark: P1B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2Linux 5.10.3EPYC 7F5291827364537.7238.59

ECP-CANDLE

Benchmark: P3B1

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1EPYC 7F52Linux 5.10.3140280420560700648.70662.32

ECP-CANDLE

Benchmark: P3B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2Linux 5.10.3EPYC 7F522004006008001000896.05899.42

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goLinux 5.10.3EPYC 7F5260120180240300253254

PyPerformance

Benchmark: 2to3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Linux 5.10.3EPYC 7F5270140210280350SE +/- 0.33, N = 3SE +/- 0.33, N = 3326329

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosLinux 5.10.3EPYC 7F52306090120150112113

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatLinux 5.10.3EPYC 7F52306090120150SE +/- 0.33, N = 3116120

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyEPYC 7F52Linux 5.10.3306090120150113113

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibEPYC 7F52Linux 5.10.348121620SE +/- 0.00, N = 3SE +/- 0.00, N = 317.117.5

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceEPYC 7F52Linux 5.10.3100200300400500SE +/- 0.33, N = 3SE +/- 0.58, N = 3475476

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsLinux 5.10.3EPYC 7F52612182430SE +/- 0.00, N = 3SE +/- 0.03, N = 324.724.9

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 7F52Linux 5.10.320406080100109110

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 7F52Linux 5.10.34080120160200173173

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupEPYC 7F52Linux 5.10.3246810SE +/- 0.01, N = 3SE +/- 0.04, N = 37.768.69

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateLinux 5.10.3EPYC 7F521122334455SE +/- 0.27, N = 3SE +/- 0.32, N = 347.548.3

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonLinux 5.10.3EPYC 7F52100200300400500SE +/- 2.08, N = 3SE +/- 0.67, N = 3470477

Numenta Anomaly Benchmark

Detector: EXPoSE

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEEPYC 7F52Linux 5.10.32004006008001000SE +/- 2.18, N = 3SE +/- 0.49, N = 3756.88778.16

Numenta Anomaly Benchmark

Detector: Relative Entropy

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyEPYC 7F52Linux 5.10.348121620SE +/- 0.02, N = 3SE +/- 0.17, N = 314.4714.48

Numenta Anomaly Benchmark

Detector: Windowed Gaussian

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianLinux 5.10.3EPYC 7F52246810SE +/- 0.027, N = 3SE +/- 0.023, N = 37.4467.530

Numenta Anomaly Benchmark

Detector: Earthgecko Skyline

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineLinux 5.10.3EPYC 7F5220406080100SE +/- 0.55, N = 3SE +/- 0.72, N = 376.7576.83

Numenta Anomaly Benchmark

Detector: Bayesian Changepoint

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointEPYC 7F52Linux 5.10.3714212835SE +/- 0.25, N = 3SE +/- 0.09, N = 327.2127.80

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7F52Linux 5.10.370M140M210M280M350MSE +/- 82650.29, N = 3SE +/- 37054.68, N = 3347415262.13347380647.361. (CC) gcc options: -O3 -march=native -lm

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreLinux 5.10.3EPYC 7F5240080012001600200017731768

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreLinux 5.10.3EPYC 7F523006009001200150014341421

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreLinux 5.10.3EPYC 7F52700140021002800350032073189

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteLinux 5.10.3EPYC 7F52130K260K390K520K650KSE +/- 627.03, N = 3SE +/- 1384.96, N = 3625441618552

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackLinux 5.10.3EPYC 7F5248121620SE +/- 0.01, N = 5SE +/- 0.01, N = 513.7413.751. (CXX) g++ options: -rdynamic

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaEPYC 7F52Linux 5.10.31224364860SE +/- 0.56, N = 4SE +/- 0.36, N = 352.8753.50

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.10.3EPYC 7F52714212835SE +/- 0.12, N = 3SE +/- 0.13, N = 329.9630.04

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.10.3EPYC 7F52612182430SE +/- 0.01, N = 3SE +/- 0.27, N = 323.0223.36

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.10.3EPYC 7F520.38930.77861.16791.55721.9465SE +/- 0.01, N = 3SE +/- 0.02, N = 41.721.73

Sunflow Rendering System

Global Illumination + Image Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisLinux 5.10.3EPYC 7F520.18450.3690.55350.7380.9225SE +/- 0.013, N = 15SE +/- 0.008, N = 30.8180.820MIN: 0.58 / MAX: 1.49MIN: 0.56 / MAX: 1.43

Unpacking Firefox

Extracting: firefox-84.0.source.tar.xz

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzEPYC 7F52Linux 5.10.3510152025SE +/- 0.06, N = 4SE +/- 0.03, N = 420.4320.48

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7F52Linux 5.10.350K100K150K200K250K2455162423231. (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

InfluxDB

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

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 1586.66, N = 3SE +/- 1744.82, N = 31211752.01198820.3

InfluxDB

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

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7F52Linux 5.10.3300K600K900K1200K1500KSE +/- 1494.65, N = 3SE +/- 2047.76, N = 31425736.11419536.4


Phoronix Test Suite v10.8.4