EPYC 2021 Benchmarks

Tests for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2102202-HA-EPYCB627828
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AV1 4 Tests
Bioinformatics 4 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 5 Tests
C++ Boost Tests 6 Tests
Chess Test Suite 7 Tests
Timed Code Compilation 11 Tests
C/C++ Compiler Tests 38 Tests
Compression Tests 5 Tests
CPU Massive 63 Tests
Creator Workloads 47 Tests
Cryptography 7 Tests
Database Test Suite 8 Tests
Electronic Design 1 Tests
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Finance 2 Tests
Fortran Tests 12 Tests
Game Development 7 Tests
HPC - High Performance Computing 46 Tests
Imaging 10 Tests
Java 2 Tests
Common Kernel Benchmarks 8 Tests
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Machine Learning 16 Tests
Memory Test Suite 3 Tests
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MPI Benchmarks 11 Tests
Multi-Core 63 Tests
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Python 5 Tests
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Renderers 15 Tests
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Identifier
Performance Per
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Date
Run
  Test
  Duration
EPYC 7702
February 01
  1 Day, 19 Hours, 45 Minutes
EPYC 7402P
February 03
  1 Day, 4 Hours, 10 Minutes
EPYC 7302P
February 04
  1 Day, 7 Hours, 33 Minutes
EPYC 7232P
February 06
  1 Day, 8 Hours
EPYC 7552
February 07
  1 Day, 3 Hours, 53 Minutes
EPYC 7272
February 08
  1 Day, 5 Hours, 58 Minutes
EPYC 7662
February 10
  1 Day, 4 Hours, 36 Minutes
EPYC 7502P
February 11
  1 Day, 4 Hours, 50 Minutes
EPYC 7F52
February 12
  1 Day, 6 Hours, 14 Minutes
EPYC 7542
February 13
  1 Day, 3 Hours, 43 Minutes
EPYC 7282
February 15
  1 Day, 7 Hours, 3 Minutes
EPYC 7F32
February 16
  1 Day, 8 Hours, 25 Minutes
EPYC 7532
February 17
  1 Day, 7 Hours, 4 Minutes
EPYC 7642
February 19
  1 Day, 3 Hours, 38 Minutes
Invert Hiding All Results Option
  1 Day, 6 Hours, 47 Minutes

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EPYC 2021 BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionEPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642AMD EPYC 7702 64-Core @ 2.00GHz (64 Cores / 128 Threads)ASRockRack EPYCD8 (P2.40 BIOS)AMD Starship/Matisse8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E13841GB Micron_9300_MTFDHAL3T8TDPllvmpipeVE2282 x Intel I350Ubuntu 20.045.11.0-051100rc6daily20210201-generic (x86_64) 20210131GNOME Shell 3.36.4X Server 1.20.8llvmpipe4.5 Mesa 20.2.6 (LLVM 11.0.0 256 bits)GCC 9.3.0ext41920x1080AMD EPYC 7402P 24-Core @ 2.80GHz (24 Cores / 48 Threads)AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads)AMD EPYC 7232P 8-Core @ 3.10GHz (8 Cores / 16 Threads)AMD EPYC 7552 48-Core @ 2.20GHz (48 Cores / 96 Threads)AMD EPYC 7272 12-Core @ 2.90GHz (12 Cores / 24 Threads)AMD EPYC 7662 64-Core @ 2.00GHz (64 Cores / 128 Threads)AMD EPYC 7502P 32-Core @ 2.50GHz (32 Cores / 64 Threads)AMD EPYC 7F52 16-Core @ 3.50GHz (16 Cores / 32 Threads)7 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1AMD EPYC 7542 32-Core @ 2.90GHz (32 Cores / 64 Threads)8 x 16384 MB DDR4-3200MT/s 18ASF2G72PDZ-3G2E1AMD EPYC 7282 16-Core @ 2.80GHz (16 Cores / 32 Threads)AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)AMD EPYC 7532 32-Core @ 2.40GHz (32 Cores / 64 Threads)AMD EPYC 7642 48-Core @ 2.30GHz (48 Cores / 96 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -vDisk Details- NONE / errors=remount-ro,relatime,rw / Block Size: 4096Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x8301034Java Details- EPYC 7702: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7402P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7302P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7232P: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7552: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7272: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7662: OpenJDK Runtime Environment (build 11.0.9.1+1-Ubuntu-0ubuntu1.20.04)- EPYC 7502P: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7F52: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7542: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7282: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7F32: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7532: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)- EPYC 7642: OpenJDK Runtime Environment (build 11.0.10+9-Ubuntu-0ubuntu1.20.04)Python Details- Python 3.8.5Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642Logarithmic Result OverviewPhoronix Test Suite 10.6.1Cpuminer-OptJohn The RipperBRL-CADC-RayAircrack-ngIndigoBenchOSPrayTachyonChaos Group V-RAYNAMDNAS Parallel BenchmarksBlenderLuxCoreRenderCloverLeafrays1benchTensorFlow LitePOV-RayGROMACSApache CassandraebizzyLAMMPS Molecular Dynamics SimulatorPostgreSQL pgbenchLeelaChessZeroTimed Linux Kernel CompilationoneDNNTimed MPlayer CompilationFFTEOpenFOAMGPAWASKAPTimed LLVM CompilationSVT-AV1KripkeSVT-VP9Tungsten RendererKvazaarminiFEYafaRayTimed FFmpeg CompilationTTSIOD 3D Rendererx265Timed Godot Game Engine Compilationx264Appleseeddav1dZstd CompressionHigh Performance Conjugate GradientRodiniaFacebook RocksDBIncompact3DPlaidMLTimed ImageMagick CompilationLULESHBuild2ParboilOpenVINOWebP2 Image EncodeACES DGEMMNCNNTimed HMMer SearchTimed PHP CompilationNumenta Anomaly BenchmarkAI Benchmark AlphaXZ CompressionTimed MrBayes AnalysisMobile Neural NetworkBlogBenchMonte Carlo Simulations of Ionised NebulaeTimed GDB GNU Debugger CompilationQuantum ESPRESSOFFTWC-BloscNebular Empirical Analysis ToolCaffeTimed Apache CompilationTimed MAFFT AlignmentNumpy BenchmarkApache CouchDBECP-CANDLETimed Eigen CompilationInfluxDBWebP Image EncodeAOM AV1PyPerformanceDolfynScikit-LearnSQLite SpeedtestGcrypt LibraryMinionRadiance BenchmarkBotansimdjsoneSpeak-NG Speech EngineAOBenchlibjpeg-turbo tjbenchTNNPyBenchMontage Astronomical Image Mosaic EngineCrypto++Himeno BenchmarkGnuPGPHPBenchPerl Benchmarksrav1eDarmstadt Automotive Parallel Heterogeneous SuiteONNX RuntimeRedisKeyDBDeepSpeech

EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 7642Logarithmic Per Watt Result OverviewPhoronix Test Suite 10.6.1ACES DGEMMCpuminer-Optrays1benchOSPrayLuxCoreRenderKripkeBRL-CADminiFEASKAPAircrack-ngSVT-VP9John The RipperApache CassandraGROMACSIndigoBenchChaos Group V-RAYBlogBenchNAS Parallel BenchmarksHigh Performance Conjugate GradientebizzyLAMMPS Molecular Dynamics SimulatorSVT-AV1FFTEC-Bloscdav1dONNX Runtimex265x264Darmstadt Automotive Parallel Heterogeneous SuiteAI Benchmark AlphaTTSIOD 3D RendererKvazaarFacebook RocksDBKeyDBPlaidMLLULESHLeelaChessZeroZstd Compressionrav1eCrypto++PHPBenchBotanHimeno BenchmarkNumpy Benchmarklibjpeg-turbo tjbenchFFTWRedisInfluxDBAOM AV1simdjsonP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

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

Quantum ESPRESSO is an integrated suite of Open-Source computer codes for electronic-structure calculations and materials modeling at the nanoscale. It is based on density-functional theory, plane waves, and pseudopotentials. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112EPYC 7232PEPYC 7272EPYC 7282EPYC 7532EPYC 7302PEPYC 7502PEPYC 7642EPYC 7F52EPYC 7F32EPYC 7402PEPYC 7552EPYC 7542EPYC 7662EPYC 7702400800120016002000SE +/- 0.83, N = 3SE +/- 1.18, N = 3SE +/- 4.40, N = 3SE +/- 6.34, N = 3SE +/- 5.19, N = 3SE +/- 5.50, N = 3SE +/- 22.87, N = 9SE +/- 11.50, N = 3SE +/- 0.33, N = 3SE +/- 1.29, N = 3SE +/- 16.58, N = 4SE +/- 3.48, N = 3SE +/- 1.64, N = 3SE +/- 1.52, N = 31656.881520.431456.821403.871403.521386.781372.731357.301356.261342.141329.901317.271216.501208.311. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterQuantum ESPRESSO 6.7Performance Per Core - Input: AUSURF112EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7502PEPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7F3220K40K60K80K100K77856.0077331.8465891.0463835.2044923.8444376.9642152.6432211.3623309.1222456.3221716.8018245.1613255.0410850.081. EPYC 7662: Detected core count of 642. EPYC 7702: Detected core count of 643. EPYC 7642: Detected core count of 484. EPYC 7552: Detected core count of 485. EPYC 7532: Detected core count of 326. EPYC 7502P: Detected core count of 327. EPYC 7542: Detected core count of 328. EPYC 7402P: Detected core count of 249. EPYC 7282: Detected core count of 1610. EPYC 7302P: Detected core count of 1611. EPYC 7F52: Detected core count of 1612. EPYC 7272: Detected core count of 1213. EPYC 7232P: Detected core count of 814. EPYC 7F32: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterQuantum ESPRESSO 6.7Performance Per Thread - Input: AUSURF112EPYC 7662EPYC 7702EPYC 7642EPYC 7552EPYC 7532EPYC 7502PEPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7F3230K60K90K120K150K155712.00154663.68131782.08127670.4089847.6888753.9284305.2864422.7246618.2444912.6443433.6036490.3226510.0821700.161. EPYC 7662: Detected thread count of 1282. EPYC 7702: Detected thread count of 1283. EPYC 7642: Detected thread count of 964. EPYC 7552: Detected thread count of 965. EPYC 7532: Detected thread count of 646. EPYC 7502P: Detected thread count of 647. EPYC 7542: Detected thread count of 648. EPYC 7402P: Detected thread count of 489. EPYC 7282: Detected thread count of 3210. EPYC 7302P: Detected thread count of 3211. EPYC 7F52: Detected thread count of 3212. EPYC 7272: Detected thread count of 2413. EPYC 7232P: Detected thread count of 1614. EPYC 7F32: Detected thread count of 16
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterQuantum ESPRESSO 6.7Performance Per Clock - Input: AUSURF112EPYC 7232PEPYC 7F32EPYC 7F52EPYC 7272EPYC 7302PEPYC 7282EPYC 7542EPYC 7402PEPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 7702110022003300440055005136.335018.164750.554409.254210.564079.103820.083757.993466.953369.293157.282925.782433.002416.621. EPYC 7232P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.102. EPYC 7F32: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.703. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.504. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.905. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.006. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.807. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.908. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.809. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.5010. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.4011. EPYC 7642: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.3012. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2013. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0014. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgSeconds x Channel, Fewer Is BetterQuantum ESPRESSO 6.7Performance Per Memory Channel - Input: AUSURF112EPYC 7232PEPYC 7272EPYC 7282EPYC 7532EPYC 7302PEPYC 7502PEPYC 7642EPYC 7F32EPYC 7402PEPYC 7552EPYC 7542EPYC 7662EPYC 7702EPYC 7F523K6K9K12K15K13255.0412163.4411654.5611230.9611228.1611094.2410981.8410850.0810737.1210639.2010538.169732.009666.489501.101. EPYC 7232P: Detected channel count of 82. EPYC 7272: Detected channel count of 83. EPYC 7282: Detected channel count of 84. EPYC 7532: Detected channel count of 85. EPYC 7302P: Detected channel count of 86. EPYC 7502P: Detected channel count of 87. EPYC 7642: Detected channel count of 88. EPYC 7F32: Detected channel count of 89. EPYC 7402P: Detected channel count of 810. EPYC 7552: Detected channel count of 811. EPYC 7542: Detected channel count of 812. EPYC 7662: Detected channel count of 813. EPYC 7702: Detected channel count of 814. EPYC 7F52: Detected channel count of 7
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112EPYC 7232PEPYC 7272EPYC 7282EPYC 7532EPYC 7302PEPYC 7502PEPYC 7642EPYC 7F52EPYC 7F32EPYC 7402PEPYC 7552EPYC 7542EPYC 7662EPYC 770230060090012001500Min: 1655.62 / Avg: 1656.88 / Max: 1658.44Min: 1518.1 / Avg: 1520.43 / Max: 1521.97Min: 1450.92 / Avg: 1456.82 / Max: 1465.43Min: 1396.5 / Avg: 1403.87 / Max: 1416.5Min: 1394.1 / Avg: 1403.52 / Max: 1411.99Min: 1377.07 / Avg: 1386.78 / Max: 1396.11Min: 1251.31 / Avg: 1372.73 / Max: 1438.64Min: 1338.99 / Avg: 1357.3 / Max: 1378.5Min: 1355.84 / Avg: 1356.26 / Max: 1356.92Min: 1339.87 / Avg: 1342.14 / Max: 1344.32Min: 1306.89 / Avg: 1329.9 / Max: 1377.55Min: 1313.6 / Avg: 1317.27 / Max: 1324.22Min: 1214.11 / Avg: 1216.5 / Max: 1219.63Min: 1205.82 / Avg: 1208.31 / Max: 1211.051. (F9X) gfortran options: -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballEPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7502PEPYC 7542EPYC 7532EPYC 7552EPYC 7702EPYC 76622K4K6K8K10K8844.17056.06676.45684.64709.53678.83653.93653.62716.72247.02220.71. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lcomex -lm -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterNWChem 7.0.2Performance Per Core - Input: C240 BuckyballEPYC 7702EPYC 7662EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F5230K60K90K120K150K143808.0142124.8130401.6117721.6116924.8116915.2113028.0112896.0106822.4106129.290953.61. EPYC 7702: Detected core count of 642. EPYC 7662: Detected core count of 643. EPYC 7552: Detected core count of 484. EPYC 7502P: Detected core count of 325. EPYC 7542: Detected core count of 326. EPYC 7532: Detected core count of 327. EPYC 7402P: Detected core count of 248. EPYC 7282: Detected core count of 169. EPYC 7302P: Detected core count of 1610. EPYC 7272: Detected core count of 1211. EPYC 7F52: Detected core count of 16
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterNWChem 7.0.2Performance Per Thread - Input: C240 BuckyballEPYC 7702EPYC 7662EPYC 7552EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7F5260K120K180K240K300K287616.0284249.6260803.2235443.2233849.6233830.4226056.0225792.0213644.8212258.4181907.21. EPYC 7702: Detected thread count of 1282. EPYC 7662: Detected thread count of 1283. EPYC 7552: Detected thread count of 964. EPYC 7502P: Detected thread count of 645. EPYC 7542: Detected thread count of 646. EPYC 7532: Detected thread count of 647. EPYC 7402P: Detected thread count of 488. EPYC 7282: Detected thread count of 329. EPYC 7302P: Detected thread count of 3210. EPYC 7272: Detected thread count of 2411. EPYC 7F52: Detected thread count of 32
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterNWChem 7.0.2Performance Per Clock - Input: C240 BuckyballEPYC 7272EPYC 7302PEPYC 7F52EPYC 7282EPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7702EPYC 76625K10K15K20K25K25647.8920029.2019896.1019756.8013186.6010596.319197.008768.645976.744494.004441.401. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.902. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.003. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.504. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.805. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.806. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.907. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.508. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.409. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2010. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0011. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgSeconds x Channel, Fewer Is BetterNWChem 7.0.2Performance Per Memory Channel - Input: C240 BuckyballEPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7502PEPYC 7542EPYC 7532EPYC 7552EPYC 7702EPYC 766215K30K45K60K75K70752.856448.053411.239792.237676.029430.429231.229228.821733.617976.017765.61. EPYC 7272: Detected channel count of 82. EPYC 7282: Detected channel count of 83. EPYC 7302P: Detected channel count of 84. EPYC 7F52: Detected channel count of 75. EPYC 7402P: Detected channel count of 86. EPYC 7502P: Detected channel count of 87. EPYC 7542: Detected channel count of 88. EPYC 7532: Detected channel count of 89. EPYC 7552: Detected channel count of 810. EPYC 7702: Detected channel count of 811. EPYC 7662: Detected channel count of 8

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeEPYC 7702EPYC 7402PEPYC 7302P4K8K12K16K20KSE +/- 118.92, N = 5SE +/- 112.86, N = 15SE +/- 109.57, N = 919829.4114033.7013564.17
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Akka Unbalanced Cobwebbed TreeEPYC 7702EPYC 7402PEPYC 7302P300K600K900K1200K1500K1269082.18336808.75217026.741. EPYC 7702: Detected core count of 642. EPYC 7402P: Detected core count of 243. EPYC 7302P: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Akka Unbalanced Cobwebbed TreeEPYC 7702EPYC 7402PEPYC 7302P500K1000K1500K2000K2500K2538164.35673617.50434053.471. EPYC 7702: Detected thread count of 1282. EPYC 7402P: Detected thread count of 483. EPYC 7302P: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Akka Unbalanced Cobwebbed TreeEPYC 7302PEPYC 7702EPYC 7402P9K18K27K36K45K40692.5139658.8239294.351. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.002. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.003. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.80
OpenBenchmarking.orgms x Channel, Fewer Is BetterRenaissance 0.10.0Performance Per Memory Channel - Test: Akka Unbalanced Cobwebbed TreeEPYC 7702EPYC 7402PEPYC 7302P30K60K90K120K150K158635.27112269.58108513.371. Detected channel count of 8
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeEPYC 7702EPYC 7402PEPYC 7302P3K6K9K12K15KMin: 19533.5 / Avg: 19829.41 / Max: 20169.52Min: 13276.43 / Avg: 14033.7 / Max: 14919.35Min: 12862.78 / Avg: 13564.17 / Max: 13941.72

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7F52EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 77026001200180024003000SE +/- 8.88, N = 3SE +/- 11.79, N = 9SE +/- 11.49, N = 9SE +/- 16.37, N = 9SE +/- 12.27, N = 9SE +/- 5.90, N = 3SE +/- 14.82, N = 9SE +/- 9.84, N = 3SE +/- 17.43, N = 5SE +/- 20.90, N = 3SE +/- 31.31, N = 9SE +/- 37.70, N = 9SE +/- 29.49, N = 9SE +/- 26.03, N = 36819251051110412331439153916171699176919272311240826861. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.26Performance Per Core - Backend: EigenEPYC 7662EPYC 7552EPYC 7702EPYC 7502PEPYC 7642EPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3230609012015037.6340.1541.9748.0948.1550.5355.2859.9665.6977.0677.0885.13106.19138.001. EPYC 7662: Detected core count of 642. EPYC 7552: Detected core count of 483. EPYC 7702: Detected core count of 644. EPYC 7502P: Detected core count of 325. EPYC 7642: Detected core count of 486. EPYC 7542: Detected core count of 327. EPYC 7532: Detected core count of 328. EPYC 7402P: Detected core count of 249. EPYC 7282: Detected core count of 1610. EPYC 7302P: Detected core count of 1611. EPYC 7272: Detected core count of 1212. EPYC 7232P: Detected core count of 813. EPYC 7F52: Detected core count of 1614. EPYC 7F32: Detected core count of 8
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.26Performance Per Thread - Backend: EigenEPYC 7662EPYC 7552EPYC 7702EPYC 7502PEPYC 7642EPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32153045607518.8120.0720.9824.0524.0725.2727.6429.9832.8438.5338.5442.5653.0969.001. EPYC 7662: Detected thread count of 1282. EPYC 7552: Detected thread count of 963. EPYC 7702: Detected thread count of 1284. EPYC 7502P: Detected thread count of 645. EPYC 7642: Detected thread count of 966. EPYC 7542: Detected thread count of 647. EPYC 7532: Detected thread count of 648. EPYC 7402P: Detected thread count of 489. EPYC 7282: Detected thread count of 3210. EPYC 7302P: Detected thread count of 3211. EPYC 7272: Detected thread count of 2412. EPYC 7232P: Detected thread count of 1613. EPYC 7F52: Detected thread count of 3214. EPYC 7F32: Detected thread count of 16
OpenBenchmarking.orgNodes Per Second Per GHz, More Is BetterLeelaChessZero 0.26Performance Per Clock - Backend: EigenEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 770230060090012001500219.68298.38318.97375.36411.00485.43513.93557.59615.60737.08875.911004.781204.001343.001. EPYC 7232P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.102. EPYC 7F32: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.703. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.904. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.805. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.006. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.507. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.808. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.909. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.5010. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.4011. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2012. EPYC 7642: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.3013. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0014. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgNodes Per Second Per Channel, More Is BetterLeelaChessZero 0.26Performance Per Memory Channel - Backend: EigenEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7532EPYC 7552EPYC 7F52EPYC 7642EPYC 7662EPYC 77027014021028035085.13115.63131.38138.00154.13179.88192.38202.13221.13240.88242.71288.88301.00335.751. EPYC 7232P: Detected channel count of 82. EPYC 7272: Detected channel count of 83. EPYC 7282: Detected channel count of 84. EPYC 7F32: Detected channel count of 85. EPYC 7302P: Detected channel count of 86. EPYC 7402P: Detected channel count of 87. EPYC 7502P: Detected channel count of 88. EPYC 7542: Detected channel count of 89. EPYC 7532: Detected channel count of 810. EPYC 7552: Detected channel count of 811. EPYC 7F52: Detected channel count of 712. EPYC 7642: Detected channel count of 813. EPYC 7662: Detected channel count of 814. EPYC 7702: Detected channel count of 8
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7F52EPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 77025001000150020002500Min: 663 / Avg: 680.67 / Max: 691Min: 870 / Avg: 924.56 / Max: 993Min: 1008 / Avg: 1051.22 / Max: 1107Min: 1024 / Avg: 1103.67 / Max: 1176Min: 1194 / Avg: 1232.78 / Max: 1292Min: 1432 / Avg: 1439.33 / Max: 1451Min: 1454 / Avg: 1538.78 / Max: 1593Min: 1597 / Avg: 1616.67 / Max: 1627Min: 1639 / Avg: 1699.2 / Max: 1747Min: 1729 / Avg: 1769.33 / Max: 1799Min: 1773 / Avg: 1926.89 / Max: 2050Min: 2112 / Avg: 2311.33 / Max: 2527Min: 2310 / Avg: 2408 / Max: 2551Min: 2634 / Avg: 2685.67 / Max: 27171. (CXX) g++ options: -flto -pthread

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7532EPYC 7502PEPYC 7542EPYC 7552EPYC 7642EPYC 7702EPYC 7662612182430SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.023, N = 3SE +/- 0.021, N = 3SE +/- 0.009, N = 3SE +/- 0.053, N = 3SE +/- 0.010, N = 3SE +/- 0.016, N = 3SE +/- 0.059, N = 3SE +/- 0.062, N = 3SE +/- 0.112, N = 3SE +/- 0.029, N = 3SE +/- 0.024, N = 3SE +/- 0.056, N = 35.4066.7057.7379.88910.60211.75714.90717.52517.61418.15622.04622.44224.81825.2061. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day Per Core, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Performance Per Core - Model: 20k AtomsEPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7532EPYC 7502PEPYC 7542EPYC 7282EPYC 7402PEPYC 7272EPYC 7302PEPYC 7232PEPYC 7F52EPYC 7F320.18860.37720.56580.75440.9430.38780.39380.45930.46750.54770.55040.56740.61810.62110.64480.66260.67580.73480.83811. EPYC 7702: Detected core count of 642. EPYC 7662: Detected core count of 643. EPYC 7552: Detected core count of 484. EPYC 7642: Detected core count of 485. EPYC 7532: Detected core count of 326. EPYC 7502P: Detected core count of 327. EPYC 7542: Detected core count of 328. EPYC 7282: Detected core count of 169. EPYC 7402P: Detected core count of 2410. EPYC 7272: Detected core count of 1211. EPYC 7302P: Detected core count of 1612. EPYC 7232P: Detected core count of 813. EPYC 7F52: Detected core count of 1614. EPYC 7F32: Detected core count of 8
OpenBenchmarking.orgns/day Per Thread, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Performance Per Thread - Model: 20k AtomsEPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7532EPYC 7502PEPYC 7542EPYC 7282EPYC 7402PEPYC 7272EPYC 7302PEPYC 7232PEPYC 7F52EPYC 7F320.09430.18860.28290.37720.47150.19390.19690.22960.23380.27380.27520.28370.30900.31060.32240.33130.33790.36740.41911. EPYC 7702: Detected thread count of 1282. EPYC 7662: Detected thread count of 1283. EPYC 7552: Detected thread count of 964. EPYC 7642: Detected thread count of 965. EPYC 7532: Detected thread count of 646. EPYC 7502P: Detected thread count of 647. EPYC 7542: Detected thread count of 648. EPYC 7282: Detected thread count of 329. EPYC 7402P: Detected thread count of 4810. EPYC 7272: Detected thread count of 2411. EPYC 7302P: Detected thread count of 3212. EPYC 7232P: Detected thread count of 1613. EPYC 7F52: Detected thread count of 3214. EPYC 7F32: Detected thread count of 16
OpenBenchmarking.orgns/day Per GHz, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Performance Per Clock - Model: 20k AtomsEPYC 7232PEPYC 7F32EPYC 7272EPYC 7F52EPYC 7302PEPYC 7282EPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7702EPYC 766236912151.741.812.673.363.533.535.326.267.057.309.7610.0212.4112.601. EPYC 7232P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.102. EPYC 7F32: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.703. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.904. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.505. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.006. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.807. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.808. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.909. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.5010. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.4011. EPYC 7642: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.3012. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2013. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0014. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgns/day Per Channel, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Performance Per Memory Channel - Model: 20k AtomsEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7532EPYC 7502PEPYC 7542EPYC 7552EPYC 7642EPYC 7702EPYC 76620.70881.41762.12642.83523.5440.67580.83810.96711.24001.33001.68001.86002.19002.20002.27002.76002.81003.10003.15001. EPYC 7232P: Detected channel count of 82. EPYC 7F32: Detected channel count of 83. EPYC 7272: Detected channel count of 84. EPYC 7282: Detected channel count of 85. EPYC 7302P: Detected channel count of 86. EPYC 7F52: Detected channel count of 77. EPYC 7402P: Detected channel count of 88. EPYC 7532: Detected channel count of 89. EPYC 7502P: Detected channel count of 810. EPYC 7542: Detected channel count of 811. EPYC 7552: Detected channel count of 812. EPYC 7642: Detected channel count of 813. EPYC 7702: Detected channel count of 814. EPYC 7662: Detected channel count of 8
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7532EPYC 7502PEPYC 7542EPYC 7552EPYC 7642EPYC 7702EPYC 7662612182430Min: 5.39 / Avg: 5.41 / Max: 5.41Min: 6.7 / Avg: 6.7 / Max: 6.71Min: 7.71 / Avg: 7.74 / Max: 7.78Min: 9.85 / Avg: 9.89 / Max: 9.92Min: 10.58 / Avg: 10.6 / Max: 10.62Min: 11.66 / Avg: 11.76 / Max: 11.85Min: 14.89 / Avg: 14.91 / Max: 14.93Min: 17.5 / Avg: 17.53 / Max: 17.55Min: 17.51 / Avg: 17.61 / Max: 17.71Min: 18.03 / Avg: 18.16 / Max: 18.22Min: 21.83 / Avg: 22.05 / Max: 22.19Min: 22.4 / Avg: 22.44 / Max: 22.5Min: 24.78 / Avg: 24.82 / Max: 24.86Min: 25.11 / Avg: 25.21 / Max: 25.311. (CXX) g++ options: -O3 -pthread -lm

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7532EPYC 7F52EPYC 7552EPYC 7642EPYC 7662EPYC 77026001200180024003000SE +/- 4.36, N = 3SE +/- 7.54, N = 3SE +/- 3.71, N = 3SE +/- 22.57, N = 9SE +/- 13.76, N = 9SE +/- 20.26, N = 3SE +/- 23.71, N = 9SE +/- 20.09, N = 3SE +/- 22.27, N = 9SE +/- 31.35, N = 9SE +/- 27.18, N = 3SE +/- 26.91, N = 3SE +/- 41.44, N = 9SE +/- 14.38, N = 37479461042105212531521155916661735175819692203237626991. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second Per Core, More Is BetterLeelaChessZero 0.26Performance Per Core - Backend: BLASEPYC 7662EPYC 7552EPYC 7702EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3230609012015037.1341.0242.1745.9048.7252.0654.2263.3865.1378.3178.8393.38109.88131.501. EPYC 7662: Detected core count of 642. EPYC 7552: Detected core count of 483. EPYC 7702: Detected core count of 644. EPYC 7642: Detected core count of 485. EPYC 7502P: Detected core count of 326. EPYC 7542: Detected core count of 327. EPYC 7532: Detected core count of 328. EPYC 7402P: Detected core count of 249. EPYC 7282: Detected core count of 1610. EPYC 7302P: Detected core count of 1611. EPYC 7272: Detected core count of 1212. EPYC 7232P: Detected core count of 813. EPYC 7F52: Detected core count of 1614. EPYC 7F32: Detected core count of 8
OpenBenchmarking.orgNodes Per Second Per Thread, More Is BetterLeelaChessZero 0.26Performance Per Thread - Backend: BLASEPYC 7662EPYC 7552EPYC 7702EPYC 7642EPYC 7502PEPYC 7542EPYC 7532EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F32153045607518.5620.5121.0922.9524.3626.0327.1131.6932.5639.1639.4246.6954.9465.751. EPYC 7662: Detected thread count of 1282. EPYC 7552: Detected thread count of 963. EPYC 7702: Detected thread count of 1284. EPYC 7642: Detected thread count of 965. EPYC 7502P: Detected thread count of 646. EPYC 7542: Detected thread count of 647. EPYC 7532: Detected thread count of 648. EPYC 7402P: Detected thread count of 489. EPYC 7282: Detected thread count of 3210. EPYC 7302P: Detected thread count of 3211. EPYC 7272: Detected thread count of 2412. EPYC 7232P: Detected thread count of 1613. EPYC 7F52: Detected thread count of 3214. EPYC 7F32: Detected thread count of 16
OpenBenchmarking.orgNodes Per Second Per GHz, More Is BetterLeelaChessZero 0.26Performance Per Clock - Backend: BLASEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7552EPYC 7642EPYC 7662EPYC 770230060090012001500240.97284.32326.21372.14417.67502.29543.21574.48623.60722.92895.00957.831188.001349.501. EPYC 7232P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.102. EPYC 7F32: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.703. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.904. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.805. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.006. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.507. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.808. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.909. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.5010. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.4011. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2012. EPYC 7642: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.3013. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0014. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgNodes Per Second Per Channel, More Is BetterLeelaChessZero 0.26Performance Per Memory Channel - Backend: BLASEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7532EPYC 7552EPYC 7F52EPYC 7642EPYC 7662EPYC 77027014021028035093.38118.25130.25131.50156.63190.13194.88208.25216.88246.13251.14275.38297.00337.381. EPYC 7232P: Detected channel count of 82. EPYC 7272: Detected channel count of 83. EPYC 7282: Detected channel count of 84. EPYC 7F32: Detected channel count of 85. EPYC 7302P: Detected channel count of 86. EPYC 7402P: Detected channel count of 87. EPYC 7502P: Detected channel count of 88. EPYC 7542: Detected channel count of 89. EPYC 7532: Detected channel count of 810. EPYC 7552: Detected channel count of 811. EPYC 7F52: Detected channel count of 712. EPYC 7642: Detected channel count of 813. EPYC 7662: Detected channel count of 814. EPYC 7702: Detected channel count of 8
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7232PEPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7402PEPYC 7502PEPYC 7542EPYC 7532EPYC 7F52EPYC 7552EPYC 7642EPYC 7662EPYC 77025001000150020002500Min: 739 / Avg: 747 / Max: 754Min: 931 / Avg: 945.67 / Max: 956Min: 1035 / Avg: 1042.33 / Max: 1047Min: 958 / Avg: 1052.44 / Max: 1142Min: 1190 / Avg: 1253.33 / Max: 1313Min: 1492 / Avg: 1521 / Max: 1560Min: 1445 / Avg: 1559.33 / Max: 1649Min: 1626 / Avg: 1665.67 / Max: 1691Min: 1624 / Avg: 1734.78 / Max: 1815Min: 1652 / Avg: 1758 / Max: 1943Min: 1916 / Avg: 1969 / Max: 2006Min: 2155 / Avg: 2203.33 / Max: 2248Min: 2146 / Avg: 2376 / Max: 2558Min: 2683 / Avg: 2699.33 / Max: 27281. (CXX) g++ options: -flto -pthread

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankEPYC 7702EPYC 7302PEPYC 7402P9001800270036004500SE +/- 44.71, N = 5SE +/- 38.13, N = 25SE +/- 44.65, N = 254023.973992.303856.01
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Apache Spark PageRankEPYC 7702EPYC 7402PEPYC 7302P60K120K180K240K300K257534.0892544.2263876.861. EPYC 7702: Detected core count of 642. EPYC 7402P: Detected core count of 243. EPYC 7302P: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Apache Spark PageRankEPYC 7702EPYC 7402PEPYC 7302P110K220K330K440K550K515068.16185088.43127753.731. EPYC 7702: Detected thread count of 1282. EPYC 7402P: Detected thread count of 483. EPYC 7302P: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Apache Spark PageRankEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15K11976.9110796.838047.941. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.002. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.803. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgms x Channel, Fewer Is BetterRenaissance 0.10.0Performance Per Memory Channel - Test: Apache Spark PageRankEPYC 7702EPYC 7302PEPYC 7402P7K14K21K28K35K32191.7631938.4330848.071. Detected channel count of 8
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankEPYC 7702EPYC 7302PEPYC 7402P7001400210028003500Min: 3891.75 / Avg: 4023.97 / Max: 4135.13Min: 3512.82 / Avg: 3992.3 / Max: 4205.12Min: 3307.9 / Avg: 3856.01 / Max: 4180.59

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestEPYC 7302PEPYC 7702EPYC 7402P5001000150020002500SE +/- 14.97, N = 25SE +/- 16.39, N = 5SE +/- 16.12, N = 252167.672114.382059.09
OpenBenchmarking.orgms x Core, Fewer Is BetterRenaissance 0.10.0Performance Per Core - Test: Random ForestEPYC 7702EPYC 7402PEPYC 7302P30K60K90K120K150K135320.3249418.1834682.771. EPYC 7702: Detected core count of 642. EPYC 7402P: Detected core count of 243. EPYC 7302P: Detected core count of 16
OpenBenchmarking.orgms x Thread, Fewer Is BetterRenaissance 0.10.0Performance Per Thread - Test: Random ForestEPYC 7702EPYC 7402PEPYC 7302P60K120K180K240K300K270640.6498836.3769365.541. EPYC 7702: Detected thread count of 1282. EPYC 7402P: Detected thread count of 483. EPYC 7302P: Detected thread count of 32
OpenBenchmarking.orgms x GHz, Fewer Is BetterRenaissance 0.10.0Performance Per Clock - Test: Random ForestEPYC 7302PEPYC 7402PEPYC 7702140028004200560070006503.025765.464228.761. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.002. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.803. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgms x Channel, Fewer Is BetterRenaissance 0.10.0Performance Per Memory Channel - Test: Random ForestEPYC 7302PEPYC 7702EPYC 7402P4K8K12K16K20K17341.3816915.0416472.731. Detected channel count of 8
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestEPYC 7302PEPYC 7702EPYC 7402P400800120016002000Min: 2048.25 / Avg: 2167.67 / Max: 2398.13Min: 2077.52 / Avg: 2114.38 / Max: 2169.74Min: 1853.69 / Avg: 2059.09 / Max: 2183.92

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Lossless CompressionEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7702EPYC 7552EPYC 7F52EPYC 7532EPYC 7662EPYC 7642EPYC 7402PEPYC 7542EPYC 7502P2004006008001000SE +/- 0.56, N = 3SE +/- 0.43, N = 3SE +/- 0.80, N = 3SE +/- 0.30, N = 3SE +/- 1.69, N = 3SE +/- 2.26, N = 3SE +/- 0.09, N = 3SE +/- 0.50, N = 3SE +/- 0.13, N = 3SE +/- 0.41, N = 3SE +/- 0.22, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3954.80778.66680.90580.07562.07481.95481.50475.39474.59474.55473.76467.70467.51467.431. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterWebP2 Image Encode 20210126Performance Per Core - Encode Settings: Quality 100, Lossless CompressionEPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F327K14K21K28K35K30844.9930371.4623112.1022740.4315186.7214960.3214957.6611224.809281.098993.078170.747638.387606.166229.261. EPYC 7702: Detected core count of 642. EPYC 7662: Detected core count of 643. EPYC 7552: Detected core count of 484. EPYC 7642: Detected core count of 485. EPYC 7532: Detected core count of 326. EPYC 7542: Detected core count of 327. EPYC 7502P: Detected core count of 328. EPYC 7402P: Detected core count of 249. EPYC 7282: Detected core count of 1610. EPYC 7302P: Detected core count of 1611. EPYC 7272: Detected core count of 1212. EPYC 7232P: Detected core count of 813. EPYC 7F52: Detected core count of 1614. EPYC 7F32: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterWebP2 Image Encode 20210126Performance Per Thread - Encode Settings: Quality 100, Lossless CompressionEPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7532EPYC 7542EPYC 7502PEPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F3213K26K39K52K65K61689.9860742.9146224.1945480.8630373.4429920.6429915.3322449.6018562.1817986.1416341.4815276.7515212.3212458.531. EPYC 7702: Detected thread count of 1282. EPYC 7662: Detected thread count of 1283. EPYC 7552: Detected thread count of 964. EPYC 7642: Detected thread count of 965. EPYC 7532: Detected thread count of 646. EPYC 7542: Detected thread count of 647. EPYC 7502P: Detected thread count of 648. EPYC 7402P: Detected thread count of 489. EPYC 7282: Detected thread count of 3210. EPYC 7302P: Detected thread count of 3211. EPYC 7272: Detected thread count of 2412. EPYC 7232P: Detected thread count of 1613. EPYC 7F52: Detected thread count of 3214. EPYC 7F32: Detected thread count of 16
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterWebP2 Image Encode 20210126Performance Per Clock - Encode Settings: Quality 100, Lossless CompressionEPYC 7232PEPYC 7F32EPYC 7272EPYC 7302PEPYC 7F52EPYC 7282EPYC 7542EPYC 7402PEPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7702EPYC 766260012001800240030002959.872881.041974.601686.201663.851624.191355.781309.561168.571139.001089.651059.30963.91949.111. EPYC 7232P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.102. EPYC 7F32: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.703. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.904. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.005. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.506. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.807. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.908. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.809. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.5010. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.4011. EPYC 7642: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.3012. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2013. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0014. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgSeconds x Channel, Fewer Is BetterWebP2 Image Encode 20210126Performance Per Memory Channel - Encode Settings: Quality 100, Lossless CompressionEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7702EPYC 7552EPYC 7532EPYC 7662EPYC 7642EPYC 7402PEPYC 7542EPYC 7502PEPYC 7F52160032004800640080007638.386229.265447.164640.544496.543855.623852.023796.683796.433790.073741.603740.083739.423327.701. EPYC 7232P: Detected channel count of 82. EPYC 7F32: Detected channel count of 83. EPYC 7272: Detected channel count of 84. EPYC 7282: Detected channel count of 85. EPYC 7302P: Detected channel count of 86. EPYC 7702: Detected channel count of 87. EPYC 7552: Detected channel count of 88. EPYC 7532: Detected channel count of 89. EPYC 7662: Detected channel count of 810. EPYC 7642: Detected channel count of 811. EPYC 7402P: Detected channel count of 812. EPYC 7542: Detected channel count of 813. EPYC 7502P: Detected channel count of 814. EPYC 7F52: Detected channel count of 7
OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Lossless CompressionEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7702EPYC 7552EPYC 7F52EPYC 7532EPYC 7662EPYC 7642EPYC 7402PEPYC 7542EPYC 7502P2004006008001000Min: 953.7 / Avg: 954.8 / Max: 955.56Min: 777.8 / Avg: 778.66 / Max: 779.18Min: 679.66 / Avg: 680.9 / Max: 682.4Min: 579.69 / Avg: 580.07 / Max: 580.65Min: 558.73 / Avg: 562.07 / Max: 564.17Min: 477.74 / Avg: 481.95 / Max: 485.47Min: 481.32 / Avg: 481.5 / Max: 481.6Min: 474.62 / Avg: 475.39 / Max: 476.33Min: 474.43 / Avg: 474.59 / Max: 474.85Min: 473.79 / Avg: 474.55 / Max: 475.18Min: 473.32 / Avg: 473.76 / Max: 474.03Min: 467.23 / Avg: 467.7 / Max: 468.09Min: 467.15 / Avg: 467.51 / Max: 467.82Min: 467.12 / Avg: 467.43 / Max: 467.791. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7532EPYC 7642EPYC 7502PEPYC 7542EPYC 7552EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7702EPYC 7662EPYC 7F3290K180K270K360K450KSE +/- 422.64, N = 3SE +/- 10886.13, N = 9SE +/- 440.86, N = 3SE +/- 147.16, N = 3SE +/- 18239.03, N = 9SE +/- 338.07, N = 3SE +/- 456.29, N = 3SE +/- 60.14, N = 3SE +/- 1699.46, N = 3SE +/- 226.68, N = 3SE +/- 533.40, N = 3SE +/- 730.51, N = 3SE +/- 1226.45, N = 3SE +/- 95.91, N = 34419784298754279674116813996103910153886993871733820203783673690273474843456263401681. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds x Core, Fewer Is BetterCaffe 2020-02-13Performance Per Core - Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7532EPYC 7502PEPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7F325M10M15M20M25M2223897622120064206340001918128014143296136949441317379293843606219184619476861123204540404295221627213441. EPYC 7702: Detected core count of 642. EPYC 7662: Detected core count of 643. EPYC 7642: Detected core count of 484. EPYC 7552: Detected core count of 485. EPYC 7532: Detected core count of 326. EPYC 7502P: Detected core count of 327. EPYC 7542: Detected core count of 328. EPYC 7402P: Detected core count of 249. EPYC 7282: Detected core count of 1610. EPYC 7302P: Detected core count of 1611. EPYC 7F52: Detected core count of 1612. EPYC 7272: Detected core count of 1213. EPYC 7232P: Detected core count of 814. EPYC 7F32: Detected core count of 8
OpenBenchmarking.orgMilli-Seconds x Thread, Fewer Is BetterCaffe 2020-02-13Performance Per Thread - Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7702EPYC 7662EPYC 7642EPYC 7552EPYC 7532EPYC 7502PEPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7F3210M20M30M40M50M44477952442401284126800038362560282865922738988826347584187687201243836812389536122246409080808590443254426881. EPYC 7702: Detected thread count of 1282. EPYC 7662: Detected thread count of 1283. EPYC 7642: Detected thread count of 964. EPYC 7552: Detected thread count of 965. EPYC 7532: Detected thread count of 646. EPYC 7502P: Detected thread count of 647. EPYC 7542: Detected thread count of 648. EPYC 7402P: Detected thread count of 489. EPYC 7282: Detected thread count of 3210. EPYC 7302P: Detected thread count of 3211. EPYC 7F52: Detected thread count of 3212. EPYC 7272: Detected thread count of 2413. EPYC 7232P: Detected thread count of 1614. EPYC 7F32: Detected thread count of 16
OpenBenchmarking.orgMilli-Seconds x GHz, Fewer Is BetterCaffe 2020-02-13Performance Per Clock - Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7F52EPYC 7F32EPYC 7542EPYC 7302PEPYC 7232PEPYC 7272EPYC 7402PEPYC 7282EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7702EPYC 7662300K600K900K1200K1500K1337070.01258621.61193874.91161519.01143983.71097264.31094842.01088357.21069917.51060747.2988712.5879142.0694968.0691252.01. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.502. EPYC 7F32: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.703. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.904. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.005. EPYC 7232P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.106. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.907. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.808. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.809. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.5010. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.4011. EPYC 7642: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.3012. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2013. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0014. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgMilli-Seconds x Channel, Fewer Is BetterCaffe 2020-02-13Performance Per Memory Channel - Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7532EPYC 7642EPYC 7502PEPYC 7542EPYC 7552EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7702EPYC 7662EPYC 7F32EPYC 7F52800K1600K2400K3200K4000K353582434390003423736329344831968803128120310959230973843026936295221627798722765008272134426741401. EPYC 7532: Detected channel count of 82. EPYC 7642: Detected channel count of 83. EPYC 7502P: Detected channel count of 84. EPYC 7542: Detected channel count of 85. EPYC 7552: Detected channel count of 86. EPYC 7402P: Detected channel count of 87. EPYC 7282: Detected channel count of 88. EPYC 7302P: Detected channel count of 89. EPYC 7272: Detected channel count of 810. EPYC 7232P: Detected channel count of 811. EPYC 7702: Detected channel count of 812. EPYC 7662: Detected channel count of 813. EPYC 7F32: Detected channel count of 814. EPYC 7F52: Detected channel count of 7
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7532EPYC 7642EPYC 7502PEPYC 7542EPYC 7552EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7702EPYC 7662EPYC 7F3280K160K240K320K400KMin: 441242 / Avg: 441977.67 / Max: 442706Min: 364614 / Avg: 429875.11 / Max: 446994Min: 427345 / Avg: 427966.67 / Max: 428819Min: 411435 / Avg: 411681.33 / Max: 411944Min: 331340 / Avg: 399610.44 / Max: 446964Min: 390425 / Avg: 391015.33 / Max: 391596Min: 387821 / Avg: 388699.33 / Max: 389353Min: 387058 / Avg: 387173 / Max: 387261Min: 379249 / Avg: 382019.67 / Max: 385110Min: 378044 / Avg: 378367 / Max: 378804Min: 367965 / Avg: 369027.33 / Max: 369643Min: 346044 / Avg: 347483.67 / Max: 348419Min: 344068 / Avg: 345626.33 / Max: 348046Min: 339980 / Avg: 340168 / Max: 3402951. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

FFTW

FFTW is a C subroutine library for computing the discrete Fourier transform (DFT) in one or more dimensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7232PEPYC 7272EPYC 7552EPYC 7532EPYC 7282EPYC 7302PEPYC 7642EPYC 7402PEPYC 7502PEPYC 7662EPYC 7702EPYC 7542EPYC 7F32EPYC 7F524K8K12K16K20KSE +/- 181.85, N = 3SE +/- 167.66, N = 3SE +/- 159.60, N = 7SE +/- 135.81, N = 9SE +/- 49.84, N = 3SE +/- 28.18, N = 3SE +/- 142.34, N = 3SE +/- 31.25, N = 3SE +/- 33.50, N = 3SE +/- 32.36, N = 3SE +/- 52.30, N = 3SE +/- 37.78, N = 3SE +/- 233.09, N = 3SE +/- 146.33, N = 314713168201709017308175591760017609176441766417681177931804719036190371. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops Per Core, More Is BetterFFTW 3.3.6Performance Per Core - Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7532EPYC 7502PEPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7F325001000150020002500276.27278.02356.04366.85540.88552.00563.97735.171097.441100.001189.811401.671839.132379.501. EPYC 7662: Detected core count of 642. EPYC 7702: Detected core count of 643. EPYC 7552: Detected core count of 484. EPYC 7642: Detected core count of 485. EPYC 7532: Detected core count of 326. EPYC 7502P: Detected core count of 327. EPYC 7542: Detected core count of 328. EPYC 7402P: Detected core count of 249. EPYC 7282: Detected core count of 1610. EPYC 7302P: Detected core count of 1611. EPYC 7F52: Detected core count of 1612. EPYC 7272: Detected core count of 1213. EPYC 7232P: Detected core count of 814. EPYC 7F32: Detected core count of 8
OpenBenchmarking.orgMflops Per Thread, More Is BetterFFTW 3.3.6Performance Per Thread - Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7662EPYC 7702EPYC 7552EPYC 7642EPYC 7532EPYC 7502PEPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7F52EPYC 7272EPYC 7232PEPYC 7F3230060090012001500138.13139.01178.02183.43270.44276.00281.98367.58548.72550.00594.91700.83919.561189.751. EPYC 7662: Detected thread count of 1282. EPYC 7702: Detected thread count of 1283. EPYC 7552: Detected thread count of 964. EPYC 7642: Detected thread count of 965. EPYC 7532: Detected thread count of 646. EPYC 7502P: Detected thread count of 647. EPYC 7542: Detected thread count of 648. EPYC 7402P: Detected thread count of 489. EPYC 7282: Detected thread count of 3210. EPYC 7302P: Detected thread count of 3211. EPYC 7F52: Detected thread count of 3212. EPYC 7272: Detected thread count of 2413. EPYC 7232P: Detected thread count of 1614. EPYC 7F32: Detected thread count of 16
OpenBenchmarking.orgMflops Per GHz, More Is BetterFFTW 3.3.6Performance Per Clock - Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7232PEPYC 7F32EPYC 7F52EPYC 7272EPYC 7302PEPYC 7542EPYC 7282EPYC 7402PEPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7662EPYC 77022K4K6K8K10K4746.135144.865439.145800.005866.676223.106271.076301.437065.607211.677656.097768.188840.508896.501. EPYC 7232P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.102. EPYC 7F32: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.703. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.504. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.905. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.006. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.907. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.808. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.809. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.5010. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.4011. EPYC 7642: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.3012. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2013. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0014. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgMflops Per Channel, More Is BetterFFTW 3.3.6Performance Per Memory Channel - Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7232PEPYC 7272EPYC 7552EPYC 7532EPYC 7282EPYC 7302PEPYC 7642EPYC 7402PEPYC 7502PEPYC 7662EPYC 7702EPYC 7542EPYC 7F32EPYC 7F5260012001800240030001839.132102.502136.252163.502194.882200.002201.132205.502208.002210.132224.132255.882379.502719.571. EPYC 7232P: Detected channel count of 82. EPYC 7272: Detected channel count of 83. EPYC 7552: Detected channel count of 84. EPYC 7532: Detected channel count of 85. EPYC 7282: Detected channel count of 86. EPYC 7302P: Detected channel count of 87. EPYC 7642: Detected channel count of 88. EPYC 7402P: Detected channel count of 89. EPYC 7502P: Detected channel count of 810. EPYC 7662: Detected channel count of 811. EPYC 7702: Detected channel count of 812. EPYC 7542: Detected channel count of 813. EPYC 7F32: Detected channel count of 814. EPYC 7F52: Detected channel count of 7
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7232PEPYC 7272EPYC 7552EPYC 7532EPYC 7282EPYC 7302PEPYC 7642EPYC 7402PEPYC 7502PEPYC 7662EPYC 7702EPYC 7542EPYC 7F32EPYC 7F523K6K9K12K15KMin: 14527 / Avg: 14713.33 / Max: 15077Min: 16499 / Avg: 16820.33 / Max: 17064Min: 16499 / Avg: 17090.14 / Max: 17664Min: 16389 / Avg: 17308.33 / Max: 17615Min: 17469 / Avg: 17559.33 / Max: 17641Min: 17559 / Avg: 17600 / Max: 17654Min: 17324 / Avg: 17608.67 / Max: 17754Min: 17597 / Avg: 17643.67 / Max: 17703Min: 17611 / Avg: 17664 / Max: 17726Min: 17626 / Avg: 17680.67 / Max: 17738Min: 17693 / Avg: 17792.67 / Max: 17870Min: 18004 / Avg: 18046.67 / Max: 18122Min: 18580 / Avg: 19036.33 / Max: 19347Min: 18745 / Avg: 19037 / Max: 192001. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7702EPYC 7662160320480640800SE +/- 2.05, N = 3SE +/- 0.89, N = 3SE +/- 0.47, N = 3SE +/- 3.68, N = 3SE +/- 5.04, N = 4SE +/- 2.67, N = 3SE +/- 3.16, N = 9SE +/- 2.29, N = 3SE +/- 1.56, N = 3SE +/- 1.12, N = 3SE +/- 1.44, N = 3SE +/- 1.29, N = 3SE +/- 1.73, N = 3SE +/- 0.89, N = 3763.56581.30529.62440.00404.33343.39312.70289.36280.78275.35245.40243.92234.21233.51
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Core - Time To CompileEPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7502PEPYC 7532EPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F323K6K9K12K15K14989.1214944.8311779.0611707.929259.498984.908811.207504.757039.946469.226355.396108.455494.184650.381. EPYC 7702: Detected core count of 642. EPYC 7662: Detected core count of 643. EPYC 7552: Detected core count of 484. EPYC 7642: Detected core count of 485. EPYC 7502P: Detected core count of 326. EPYC 7532: Detected core count of 327. EPYC 7542: Detected core count of 328. EPYC 7402P: Detected core count of 249. EPYC 7282: Detected core count of 1610. EPYC 7302P: Detected core count of 1611. EPYC 7272: Detected core count of 1212. EPYC 7232P: Detected core count of 813. EPYC 7F52: Detected core count of 1614. EPYC 7F32: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Thread - Time To CompileEPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7502PEPYC 7532EPYC 7542EPYC 7402PEPYC 7282EPYC 7302PEPYC 7272EPYC 7232PEPYC 7F52EPYC 7F326K12K18K24K30K29978.2429889.6623558.1123415.8418518.9817969.7917622.4015009.5014079.8712938.4312710.7812216.9010988.359300.771. EPYC 7702: Detected thread count of 1282. EPYC 7662: Detected thread count of 1283. EPYC 7552: Detected thread count of 964. EPYC 7642: Detected thread count of 965. EPYC 7502P: Detected thread count of 646. EPYC 7532: Detected thread count of 647. EPYC 7542: Detected thread count of 648. EPYC 7402P: Detected thread count of 489. EPYC 7282: Detected thread count of 3210. EPYC 7302P: Detected thread count of 3211. EPYC 7272: Detected thread count of 2412. EPYC 7232P: Detected thread count of 1613. EPYC 7F52: Detected thread count of 3214. EPYC 7F32: Detected thread count of 16
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Clock - Time To CompileEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7542EPYC 7502PEPYC 7532EPYC 7642EPYC 7552EPYC 7702EPYC 766250010001500200025002367.022150.801535.891231.991212.981201.85875.55798.52723.40673.87561.01539.87468.41467.031. EPYC 7232P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.102. EPYC 7F32: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.703. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.904. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.805. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.006. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.507. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.808. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.909. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.5010. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.4011. EPYC 7642: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.3012. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2013. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0014. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgSeconds x Channel, Fewer Is BetterTimed LLVM Compilation 10.0Performance Per Memory Channel - Time To CompileEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7402PEPYC 7F52EPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7702EPYC 7662130026003900520065006108.454650.384236.933519.973234.612501.582403.702314.872246.222202.801963.181951.321873.641868.101. EPYC 7232P: Detected channel count of 82. EPYC 7F32: Detected channel count of 83. EPYC 7272: Detected channel count of 84. EPYC 7282: Detected channel count of 85. EPYC 7302P: Detected channel count of 86. EPYC 7402P: Detected channel count of 87. EPYC 7F52: Detected channel count of 78. EPYC 7502P: Detected channel count of 89. EPYC 7532: Detected channel count of 810. EPYC 7542: Detected channel count of 811. EPYC 7552: Detected channel count of 812. EPYC 7642: Detected channel count of 813. EPYC 7702: Detected channel count of 814. EPYC 7662: Detected channel count of 8
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7232PEPYC 7F32EPYC 7272EPYC 7282EPYC 7302PEPYC 7F52EPYC 7402PEPYC 7502PEPYC 7532EPYC 7542EPYC 7552EPYC 7642EPYC 7702EPYC 7662130260390520650Min: 759.57 / Avg: 763.56 / Max: 766.35Min: 579.68 / Avg: 581.3 / Max: 582.76Min: 528.7 / Avg: 529.62 / Max: 530.26Min: 432.97 / Avg: 440 / Max: 445.42Min: 391.86 / Avg: 404.33 / Max: 414.08Min: 340.62 / Avg: 343.39 / Max: 348.73Min: 297.71 / Avg: 312.7 / Max: 321.97Min: 286.12 / Avg: 289.36 / Max: 293.79Min: 278.05 / Avg: 280.78 / Max: 283.44Min: 273.43 / Avg: 275.35 / Max: 277.3Min: 242.68 / Avg: 245.4 / Max: 247.61Min: 241.53 / Avg: 243.91 / Max: 245.95Min: 230.9 / Avg: 234.2 / Max: 236.76Min: 232.12 / Avg: 233.51 / Max: 235.17

OpenFOAM

OpenFOAM is the leading free, open source software for computational fluid dynamics (CFD). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MEPYC 7232PEPYC 7272EPYC 7282EPYC 7F52EPYC 7F32EPYC 7502PEPYC 7542EPYC 7402PEPYC 7302PEPYC 7552EPYC 7532EPYC 7642EPYC 7702EPYC 7662120240360480600SE +/- 0.29, N = 3SE +/- 1.13, N = 3SE +/- 0.84, N = 3SE +/- 1.71, N = 3SE +/- 0.36, N = 3SE +/- 0.44, N = 3SE +/- 0.59, N = 3SE +/- 0.21, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.57, N = 3SE +/- 0.31, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 3573.04530.10520.45454.84362.74320.20319.87314.06313.64260.78236.99233.73233.34232.981. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm
OpenBenchmarking.orgSeconds x Core, Fewer Is BetterOpenFOAM 8Performance Per Core - Input: Motorbike 60MEPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7282EPYC 7532EPYC 7402PEPYC 7F52EPYC 7272EPYC 7302PEPYC 7232PEPYC 7F323K6K9K12K15K14933.7614910.7212517.4411219.0410246.4010235.848327.207583.687537.447277.446361.205018.244584.322901.921. EPYC 7702: Detected core count of 642. EPYC 7662: Detected core count of 643. EPYC 7552: Detected core count of 484. EPYC 7642: Detected core count of 485. EPYC 7502P: Detected core count of 326. EPYC 7542: Detected core count of 327. EPYC 7282: Detected core count of 168. EPYC 7532: Detected core count of 329. EPYC 7402P: Detected core count of 2410. EPYC 7F52: Detected core count of 1611. EPYC 7272: Detected core count of 1212. EPYC 7302P: Detected core count of 1613. EPYC 7232P: Detected core count of 814. EPYC 7F32: Detected core count of 8
OpenBenchmarking.orgSeconds x Thread, Fewer Is BetterOpenFOAM 8Performance Per Thread - Input: Motorbike 60MEPYC 7702EPYC 7662EPYC 7552EPYC 7642EPYC 7502PEPYC 7542EPYC 7282EPYC 7532EPYC 7402PEPYC 7F52EPYC 7272EPYC 7302PEPYC 7232PEPYC 7F326K12K18K24K30K29867.5229821.4425034.8822438.0820492.8020471.6816654.4015167.3615074.8814554.8812722.4010036.489168.645803.841. EPYC 7702: Detected thread count of 1282. EPYC 7662: Detected thread count of 1283. EPYC 7552: Detected thread count of 964. EPYC 7642: Detected thread count of 965. EPYC 7502P: Detected thread count of 646. EPYC 7542: Detected thread count of 647. EPYC 7282: Detected thread count of 328. EPYC 7532: Detected thread count of 649. EPYC 7402P: Detected thread count of 4810. EPYC 7F52: Detected thread count of 3211. EPYC 7272: Detected thread count of 2412. EPYC 7302P: Detected thread count of 3213. EPYC 7232P: Detected thread count of 1614. EPYC 7F32: Detected thread count of 16
OpenBenchmarking.orgSeconds x GHz, Fewer Is BetterOpenFOAM 8Performance Per Clock - Input: Motorbike 60MEPYC 7232PEPYC 7F52EPYC 7272EPYC 7282EPYC 7F32EPYC 7302PEPYC 7542EPYC 7402PEPYC 7502PEPYC 7552EPYC 7532EPYC 7642EPYC 7702EPYC 76624008001200160020001776.421591.941537.291457.261342.14940.92927.62879.37800.50573.72568.78537.58466.68465.961. EPYC 7232P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.102. EPYC 7F52: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.503. EPYC 7272: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.904. EPYC 7282: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.805. EPYC 7F32: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.706. EPYC 7302P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 3.007. EPYC 7542: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.908. EPYC 7402P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.809. EPYC 7502P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.5010. EPYC 7552: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.2011. EPYC 7532: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.4012. EPYC 7642: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.3013. EPYC 7702: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.0014. EPYC 7662: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgSeconds x Channel, Fewer Is BetterOpenFOAM 8Performance Per Memory Channel - Input: Motorbike 60MEPYC 7232PEPYC 7272EPYC 7282EPYC 7F52EPYC 7F32EPYC 7502PEPYC 7542EPYC 7402PEPYC 7302PEPYC 7552EPYC 7532EPYC 7642EPYC 7702EPYC 7662100020003000400050004584.324240.804163.603183.882901.922561.602558.962512.482509.122086.241895.921869.841866.721863.841. EPYC 7232P: Detected channel count of 82. EPYC 7272: Detected channel count of 83. EPYC 7282: Detected channel count of 84. EPYC 7F52: Detected channel count of 75. EPYC 7F32: Detected channel count of 86. EPYC 7502P: Detected channel count of 87. EPYC 7542: Detected channel count of 88. EPYC 7402P: Detected channel count of 89. EPYC 7302P: Detected channel count of 810. EPYC 7552: Detected channel count of 811. EPYC 7532: Detected channel count of 812. EPYC 7642: Detected channel count of 813. EPYC 7702: Detected channel count of 814. EPYC 7662: Detected channel count of 8
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MEPYC 7232PEPYC 7272EPYC 7282EPYC 7F52EPYC 7F32EPYC 7502PEPYC 7542EPYC 7402PEPYC 7302PEPYC 7552EPYC 7532EPYC 7642EPYC 7702EPYC 7662100200300400500Min: 572.49 / Avg: 573.04 / Max: 573.47Min: 528.05 / Avg: 530.1 / Max: 531.94Min: 518.85 / Avg: 520.45 / Max: 521.68Min: 452.49 / Avg: 454.84 / Max: 458.16Min: 362.09 / Avg: 362.74 / Max: 363.35Min: 319.73 / Avg: 320.2 / Max: 321.08Min: 319.1 / Avg: 319.87 / Max: 321.04Min: 313.84 / Avg: 314.06 / Max: 314.48Min: 313.39 / Avg: 313.64 / Max: 313.91Min: 260.58 / Avg: 260.78 / Max: 261.02Min: 235.98 / Avg: 236.99 / Max: 237.94Min: 233.28 / Avg: 233.73 / Max: 234.33Min: 233.29 / Avg: 233.34 / Max: 233.42Min: 232.55 / Avg: 232.98 / Max: 233.381. (CXX) g++ options: -std=c++11 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -ldecompose -lgenericPatchFields -lmetisDecomp -lscotchDecomp -llagrangian -lregionModels -lOpenFOAM -ldl -lm

BlogBench

BlogBench is designed to replicate the load of a real-world busy file server by stressing the file-system with multiple threads of random reads, writes, and rewrites. The behavior is mimicked of that of a blog by creating blogs with content and pictures, modifying blog posts, adding comments to these blogs, and then reading the content of the blogs. All of these blogs generated are created locally with fake content and pictures. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadEPYC 7702EPYC 7662EPYC 7642EPYC 7532EPYC 7F52EPYC 7552EPYC 7F32EPYC 7302PEPYC 7542EPYC 7232PEPYC 7502PEPYC 7402PEPYC 7272EPYC 7282400K800K1200K1600K2000KSE +/- 10548.76, N = 3SE +/- 9874.65, N = 3SE +/- 14031.09, N = 3SE +/- 13194.50, N = 3SE +/- 13461.20, N = 3SE +/- 4883.16, N = 3SE +/- 14389.61, N = 3SE +/- 7235.14, N = 3SE +/- 7106.01, N = 3SE +/- 16960.13, N = 3SE +/- 7760.40, N = 3SE +/- 7805.03, N = 3SE +/- 20232.46, N = 3SE +/- 12175.94, N = 3137295513974751583350163609216765161771624177203718984281923368194449619500801959615202318020430371. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadEPYC 7702EPYC 7662EPYC 7642EPYC 7532EPYC 7F52EPYC 7552EPYC 7F32EPYC 7302PEPYC 7542EPYC 7232PEPYC 7502PEPYC 7402PEPYC 7272EPYC 7282400K800K1200K1600K2000KMin: 1360224 / Avg: 1372955 / Max: 1393890Min: 1384215 / Avg: 1397475 / Max: 1416780Min: 1565457 / Avg: 1583350 / Max: 1611018Min: 1610844 / Avg: 1636092.33 / Max: 1655363Min: 1650220 / Avg: 1676515.67 / Max: 1694665Min: 1764285 / Avg: 1771624.33 / Max: 1780874Min: 1743950 / Avg: 1772037 / Max: 1791514Min: 1890301 / Avg: 1898428 / Max: 1912860Min: 1909275 / Avg: 1923368 / Max: 1932004Min: 1916141 / Avg: 1944496.33 / Max: 1974796Min: 1935120 / Avg: 1950080.33 / Max: 1961140Min: 1944836 / Avg: 1959614.67 / Max: 1971357Min: 1992185 / Avg: 2023179.67 / Max: 2061206Min: 2022967 / Avg: 2043037.33 / Max: 20650161. (CC) gcc options: -O2 -pthread

PlaidML

This test profile uses PlaidML deep learning framework developed by Intel for offering up various benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUEPYC 7232PEPYC 7272EPYC 7702EPYC 7282EPYC 7302PEPYC 7552EPYC 7402PEPYC 7532EPYC 7642EPYC 7662EPYC 7502PEPYC 7542EPYC 7F32EPYC 7F521.34782.69564.04345.39126.739SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 35.175.535.565.575.675.675.685.715.725.765.765.845.965.99
OpenBenchmarking.orgFPS Per Core, More Is BetterPlaidMLPerformance Per Core - FP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUEPYC 7702EPYC 7662EPYC 7552EPYC 7642