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
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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
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Fortran Tests 12 Tests
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HPC - High Performance Computing 46 Tests
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Common Kernel Benchmarks 8 Tests
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Multi-Core 63 Tests
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Identifier
Performance Per
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Date
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  Test
  Duration
EPYC 7702
February 01 2021
  1 Day, 19 Hours, 45 Minutes
EPYC 7402P
February 03 2021
  1 Day, 4 Hours, 10 Minutes
EPYC 7302P
February 04 2021
  1 Day, 7 Hours, 33 Minutes
EPYC 7232P
February 06 2021
  1 Day, 8 Hours
EPYC 7552
February 07 2021
  1 Day, 3 Hours, 53 Minutes
EPYC 7272
February 08 2021
  1 Day, 5 Hours, 58 Minutes
EPYC 7662
February 10 2021
  1 Day, 4 Hours, 36 Minutes
EPYC 7502P
February 11 2021
  1 Day, 4 Hours, 50 Minutes
EPYC 7F52
February 12 2021
  1 Day, 6 Hours, 14 Minutes
EPYC 7542
February 13 2021
  1 Day, 3 Hours, 43 Minutes
EPYC 7282
February 15 2021
  1 Day, 7 Hours, 3 Minutes
EPYC 7F32
February 16 2021
  1 Day, 8 Hours, 25 Minutes
EPYC 7532
February 17 2021
  1 Day, 7 Hours, 4 Minutes
EPYC 7642
February 19 2021
  1 Day, 3 Hours, 38 Minutes
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  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 SuiteCpuminer-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 SuiteACES 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 Benchmarksstress-ng: CPU Stressstress-ng: Cryptostress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: Socket Activitystress-ng: Context Switchingstress-ng: CPU Cacheminife: Smallsysbench: CPUsysbench: Memoryamg: blogbench: Readblogbench: Writeospray: Magnetic Reconnection - SciVisospray: XFrog Forest - SciVisospray: XFrog Forest - Path Tracerospray: NASA Streamlines - SciVisospray: San Miguel - SciVisospray: NASA Streamlines - Path Tracerospray: San Miguel - Path Tracerttsiod-renderer: Phong Rendering With Soft-Shadow Mappingopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUplaidml: No - Inference - ResNet 50 - CPUplaidml: No - Inference - VGG16 - CPUplaidml: No - Inference - VGG19 - CPUdav1d: Summer Nature 1080pdav1d: Summer Nature 4Kdav1d: Chimera 1080pdav1d: Chimera 1080p 10-bitaom-av1: Speed 8 Realtimeaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 4 Two-Passkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastrav1e: 10rav1e: 6rav1e: 5kvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Enc Mode 8 - 1080psvt-av1: Enc Mode 4 - 1080psvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080px264: H.264 Video Encodingx265: Bosphorus 4Ksimdjson: PartialTweetssimdjson: LargeRandsimdjson: Kostyasimdjson: DistinctUserIDmt-dgemm: Sustained Floating-Point Ratehpcg: oidn: Memorialonnx: yolov4 - OpenMP CPUonnx: fcn-resnet101-11 - OpenMP CPUonnx: shufflenet-v2-10 - OpenMP CPUonnx: super-resolution-10 - OpenMP CPUonnx: bertsquad-10 - OpenMP CPUopenvkl: vklBenchmarkaskap: Hogbom Clean OpenMPcoremark: CoreMark Size 666 - Iterations Per Secondaircrack-ng: cpuminer-opt: x25xcpuminer-opt: Garlicoincpuminer-opt: Deepcoincpuminer-opt: Skeincoinv-ray: CPUindigobench: CPU - Bedroomindigobench: CPU - Supercarluxcorerender: DLSCluxcorerender: Rainbow Colors and Prismblosc: blosclzcompress-zstd: 3compress-zstd: 19compress-lz4: 1 - Compression Speedcompress-lz4: 1 - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedstream: Copystream: Scalestream: Addstream: Triadtinymembench: Standard Memcpystream-dynamic: - Scalestream-dynamic: - Copytinymembench: Standard Memsetstream-dynamic: - Addstream-dynamic: - Triadtjbench: Decompression Throughputffte: N=256, 3D Complex FFT Routinefftw: Float + SSE - 1D FFT Size 4096fftw: Float + SSE - 2D FFT Size 2048fftw: Float + SSE - 2D FFT Size 4096himeno: Poisson Pressure Solverquantlib: botan: Blowfishbotan: KASUMIbotan: AES-256botan: Twofishmbw: Memory Copy - 8192 MiBbotan: CAST-256mbw: Memory Copy, Fixed Block Size - 8192 MiBcryptopp: Unkeyed Algorithmscryptopp: Keyed Algorithmscryptopp: Integer + Elliptic Curve Public Key Algorithmsaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingcompress-7zip: Compress Speed Testjpegxl: PNG - 5jpegxl: PNG - 7jpegxl: PNG - 8jpegxl: JPEG - 5jpegxl: JPEG - 7jpegxl: JPEG - 8jpegxl-decode: 1jpegxl-decode: Allaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddinglibraw: Post-Processing Benchmarketcpak: ETC1etcpak: ETC1 + Ditheringetcpak: ETC2etcpak: DXT1rays1bench: Large Scenelczero: BLASlczero: Eigencrafty: Elapsed Timestockfish: Total Timetscp: AI Chess Performanceasmfish: 1024 Hash Memory, 26 Depthgromacs: Water Benchmarkgromacs: water_GMX50_barelammps: Rhodopsin Proteinlammps: 20k Atomscassandra: Writesrocksdb: Seq Fillrocksdb: Rand Fillrocksdb: Rand Fill Syncrocksdb: Rand Readrocksdb: Read While Writingswet: Averagekeydb: hint: FLOATjohn-the-ripper: MD5john-the-ripper: Blowfishebizzy: redis: SETredis: GETredis: LPUSHredis: SADDnumpy: ai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorephpbench: PHP Benchmark Suitedaphne: OpenMP - Euclidean Clusterdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagekripke: npb: BT.Cnpb: EP.Cnpb: LU.Cnpb: SP.Bnpb: IS.Dnpb: MG.Cnpb: EP.Dnpb: CG.Cnpb: FT.Cpgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Onlypgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Onlyinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000brl-cad: VGR Performance Metricsynthmark: VoiceMark_100v-ray: CPUlulesh: ctx-clock: Context Switch Timenamd: ATPase Simulation - 327,506 Atomswebp: Quality 100webp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionpennant: leblancbigpennant: sedovbigtensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: NASNet Mobiletensorflow-lite: SqueezeNettensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 200pybench: Total For Average Test Timespyperformance: crypto_pyaespyperformance: django_templatepyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: python_startuppyperformance: regex_compilemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU - vgg16ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400monednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1pgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Only - Average Latencyrenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Rand Forestrenaissance: Apache Spark PageRankrenaissance: In-Memory Database Shootoutrenaissance: Scala Dottyrenaissance: Twitter HTTP Requestsrenaissance: Genetic Algorithm Using Jenetics + Futuresfinancebench: Bonds OpenMPfinancebench: Repo OpenMPncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - resnet18ncnn: CPU-v2-v2-v2 - mobilenetncnn: CPU-v2-v2-v2-v2-v2 - mobilenet-v2ncnn: CPU-v2-v2-v2-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2-v2 - shufflenet-v2ncnn: CPU-v2-v2-v2 - mnasnetncnn: CPU-v2-v2-v2 - efficientnet-b0ncnn: CPU-v2-v2-v2 - blazefacencnn: CPU-v2-v2-v2 - googlenetncnn: CPU-v2-v2-v2 - vgg16ncnn: CPU-v2-v2-v2 - resnet18ncnn: CPU-v2-v2-v2 - alexnetncnn: CPU-v2-v2-v2 - resnet50ncnn: CPU-v2-v2-v2 - yolov4-tinyncnn: CPU-v2-v2-v2 - squeezenet_ssdncnn: CPU-v2-v2-v2 - regnety_400mncnn: CPU-v3-v3-v3 - mobilenetncnn: CPU-v3-v3-v3-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3-v3-v3-v3 - mobilenet-v3ncnn: CPU-v3-v3-v3 - shufflenet-v2ncnn: CPU-v3-v3-v3 - mnasnetncnn: CPU-v3-v3-v3 - efficientnet-b0ncnn: CPU-v3-v3-v3 - blazefacencnn: CPU-v3-v3-v3 - googlenetncnn: CPU-v3-v3-v3 - vgg16ncnn: CPU-v3-v3-v3 - resnet18ncnn: CPU-v3-v3-v3 - alexnetncnn: CPU-v3-v3-v3 - resnet50ncnn: CPU-v3-v3-v3 - yolov4-tinyncnn: CPU-v3-v3-v3 - squeezenet_ssdncnn: CPU-v3-v3-v3 - regnety_400mtoybrot: TBBtoybrot: OpenMPtoybrot: C++ Taskstoybrot: C++ Threadsdacapobench: H2dacapobench: Jythondacapobench: Tradebeansdacapobench: Tradesoapc-ray: Total Time - 4K, 16 Rays Per Pixeltachyon: Total Timepovray: Trace Timeyafaray: Total Time For Sample Sceneblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlytungsten: Hairtungsten: Water Caustictungsten: Non-Exponentialtungsten: Volumetric Causticappleseed: Emilyappleseed: Disney Materialappleseed: Material Testerradiance: Serialradiance: SMP Parallelaobench: 2048 x 2048 - Total Timebuild-apache: Time To Compilebuild-php: Time To Compilebuild-eigen: Time To Compilebuild-linux-kernel: Time To Compilebuild-imagemagick: Time To Compilebuild-gdb: Time To Compilebuild-llvm: Time To Compilebuild-ffmpeg: Time To Compilebuild-mplayer: Time To Compilebuild2: Time To Compilebuild-godot: Time To Compilecloverleaf: Lagrangian-Eulerian Hydrodynamicsdolfyn: Computational Fluid Dynamicsecp-candle: P1B2ecp-candle: P3B1ecp-candle: P3B2gpaw: Carbon Nanotubeincompact3d: Cylinderminion: Gracefulminion: Quasigroupminion: Solitairemocassin: Dust 2D tau100.0montage: Mosaic of M17, K band, 1.5 deg x 1.5 degneat: openfoam: Motorbike 30Mopenfoam: Motorbike 60Mparboil: OpenMP CUTCPparboil: OpenMP MRI Griddingparboil: OpenMP Stencilparboil: OpenMP LBMqe: AUSURF112rodinia: OpenMP CFD Solverrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP Streamclusterrodinia: OpenMP HotSpot3Dhmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAmrbayes: Primate Phylogeny Analysisdeepspeech: CPUnumenta-nab: Bayesian Changepointnumenta-nab: Windowed Gaussiannumenta-nab: Relative Entropynumenta-nab: Earthgecko Skylinescikit-learn: webp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5webp2: Quality 100, Lossless Compressioncouchdb: 100 - 1000 - 24sqlite-speedtest: Timed Time - Size 1,000perl-benchmark: Pod2htmlperl-benchmark: Interpreterespeak: Text-To-Speech Synthesispolyhedron: aermodpolyhedron: fatigue2polyhedron: linpkpolyhedron: proteinpolyhedron: rnflowpolyhedron: tfft2gcrypt: gnupg: 2.7GB Sample File Encryptioncompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9hugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentrawtherapee: Total Benchmark Timebasis: ETC1Sbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustiversvg: SVG Files To PNGn-queens: Elapsed Timem-queens: Time To Solvewireguard: nwchem: C240 Buckyballngspice: C2670ngspice: C7552EPYC 7702EPYC 7402PEPYC 7302PEPYC 7232PEPYC 7552EPYC 7272EPYC 7662EPYC 7502PEPYC 7F52EPYC 7542EPYC 7282EPYC 7F32EPYC 7532EPYC 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Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024K8K12K16K20KSE +/- 14.79, N = 3SE +/- 4.39, N = 3SE +/- 4.51, N = 3SE +/- 39.53, N = 3SE +/- 1.01, N = 3SE +/- 8.85, N = 3SE +/- 45.79, N = 3SE +/- 5.85, N = 3SE +/- 23.53, N = 3SE +/- 8.87, N = 3SE +/- 1.11, N = 3SE +/- 3.25, N = 3SE +/- 24.42, N = 310901.473306.395463.4511234.606629.0611121.5920174.764078.2115958.162708.905622.828541.1219926.611. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU StressEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KMin: 10874.37 / Avg: 10901.47 / Max: 10925.3Min: 3301.92 / Avg: 3306.39 / Max: 3315.16Min: 5456.78 / Avg: 5463.45 / Max: 5472.04Min: 11159.1 / Avg: 11234.6 / Max: 11292.66Min: 6628.02 / Avg: 6629.06 / Max: 6631.08Min: 11109.84 / Avg: 11121.59 / Max: 11138.93Min: 20083.31 / Avg: 20174.76 / Max: 20224.79Min: 4067.37 / Avg: 4078.21 / Max: 4087.43Min: 15919.41 / Avg: 15958.16 / Max: 16000.66Min: 2691.46 / Avg: 2708.9 / Max: 2720.48Min: 5620.68 / Avg: 5622.82 / Max: 5624.41Min: 8535.73 / Avg: 8541.12 / Max: 8546.95Min: 19890.13 / Avg: 19926.61 / Max: 19972.981. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KSE +/- 2.43, N = 3SE +/- 2.21, N = 3SE +/- 0.60, N = 3SE +/- 2.98, N = 3SE +/- 2.53, N = 3SE +/- 6.32, N = 3SE +/- 2.16, N = 3SE +/- 0.42, N = 3SE +/- 6.05, N = 3SE +/- 0.98, N = 3SE +/- 5.77, N = 3SE +/- 0.38, N = 3SE +/- 5.99, N = 37105.732288.333760.667720.584580.087273.7112091.562821.199992.151878.743871.575847.7011996.591. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CryptoEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KMin: 7100.89 / Avg: 7105.73 / Max: 7108.61Min: 2285.96 / Avg: 2288.33 / Max: 2292.74Min: 3759.79 / Avg: 3760.66 / Max: 3761.8Min: 7715.51 / Avg: 7720.58 / Max: 7725.83Min: 4577.39 / Avg: 4580.08 / Max: 4585.14Min: 7261.15 / Avg: 7273.71 / Max: 7281.24Min: 12087.35 / Avg: 12091.56 / Max: 12094.48Min: 2820.54 / Avg: 2821.19 / Max: 2821.99Min: 9980.12 / Avg: 9992.15 / Max: 9999.28Min: 1877.16 / Avg: 1878.74 / Max: 1880.55Min: 3864.76 / Avg: 3871.57 / Max: 3883.04Min: 5846.99 / Avg: 5847.7 / Max: 5848.3Min: 11984.94 / Avg: 11996.59 / Max: 12004.821. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770290K180K270K360K450KSE +/- 47.74, N = 3SE +/- 4.12, N = 3SE +/- 4.86, N = 3SE +/- 32.95, N = 3SE +/- 3.54, N = 3SE +/- 66.32, N = 3SE +/- 137.59, N = 3SE +/- 1.61, N = 3SE +/- 189.45, N = 3SE +/- 4.97, N = 3SE +/- 3.30, N = 3SE +/- 100.32, N = 3SE +/- 205.94, N = 3232455.6871366.17117080.86241722.09142756.35237596.66400773.3887851.58328019.7058583.38120826.81182716.39397326.451. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector MathEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770270K140K210K280K350KMin: 232394.78 / Avg: 232455.68 / Max: 232549.81Min: 71360.29 / Avg: 71366.17 / Max: 71374.11Min: 117074.78 / Avg: 117080.86 / Max: 117090.47Min: 241657.95 / Avg: 241722.09 / Max: 241767.28Min: 142752.27 / Avg: 142756.35 / Max: 142763.4Min: 237474.07 / Avg: 237596.66 / Max: 237701.83Min: 400607.54 / Avg: 400773.38 / Max: 401046.47Min: 87849.93 / Avg: 87851.58 / Max: 87854.8Min: 327828.63 / Avg: 328019.7 / Max: 328398.59Min: 58573.44 / Avg: 58583.38 / Max: 58588.42Min: 120822.19 / Avg: 120826.81 / Max: 120833.2Min: 182574.85 / Avg: 182716.39 / Max: 182910.32Min: 397034.87 / Avg: 397326.45 / Max: 397724.181. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770240K80K120K160K200KSE +/- 270.71, N = 3SE +/- 382.53, N = 3SE +/- 294.16, N = 3SE +/- 157.32, N = 3SE +/- 417.25, N = 3SE +/- 1288.21, N = 3SE +/- 1795.92, N = 3SE +/- 183.06, N = 3SE +/- 457.19, N = 3SE +/- 186.09, N = 3SE +/- 123.36, N = 3SE +/- 377.08, N = 3SE +/- 558.83, N = 3110766.7938378.0859431.03122762.9676923.39112205.01179496.7846780.94152001.9531690.6063930.7292207.07179226.241. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix MathEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230K60K90K120K150KMin: 110323.78 / Avg: 110766.79 / Max: 111257.86Min: 37633.18 / Avg: 38378.08 / Max: 38901.65Min: 59024.95 / Avg: 59431.03 / Max: 60002.73Min: 122497.64 / Avg: 122762.96 / Max: 123042.09Min: 76194.59 / Avg: 76923.39 / Max: 77639.82Min: 109640.44 / Avg: 112205.01 / Max: 113701Min: 175929.7 / Avg: 179496.78 / Max: 181644.9Min: 46417.91 / Avg: 46780.94 / Max: 47003.53Min: 151506.09 / Avg: 152001.95 / Max: 152915.2Min: 31367.04 / Avg: 31690.6 / Max: 32011.65Min: 63684.02 / Avg: 63930.72 / Max: 64057.16Min: 91633.53 / Avg: 92207.07 / Max: 92917.94Min: 178344.47 / Avg: 179226.24 / Max: 180261.881. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024K8K12K16K20KSE +/- 125.44, N = 9SE +/- 13.57, N = 3SE +/- 16.90, N = 3SE +/- 32.93, N = 3SE +/- 17.97, N = 3SE +/- 30.09, N = 3SE +/- 64.33, N = 3SE +/- 8.24, N = 3SE +/- 24.65, N = 3SE +/- 24.34, N = 3SE +/- 6.53, N = 3SE +/- 16.45, N = 3SE +/- 57.10, N = 315568.245638.539134.7217266.218415.1916396.5719990.757332.8218192.324965.969499.3313570.8319577.031. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket ActivityEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KMin: 14571.02 / Avg: 15568.24 / Max: 15743.07Min: 5624.62 / Avg: 5638.53 / Max: 5665.66Min: 9104 / Avg: 9134.72 / Max: 9162.29Min: 17206.64 / Avg: 17266.21 / Max: 17320.33Min: 8394.92 / Avg: 8415.19 / Max: 8451.03Min: 16363.28 / Avg: 16396.57 / Max: 16456.63Min: 19911.11 / Avg: 19990.75 / Max: 20118.07Min: 7316.76 / Avg: 7332.82 / Max: 7344.03Min: 18145.03 / Avg: 18192.32 / Max: 18228.03Min: 4920.56 / Avg: 4965.96 / Max: 5003.89Min: 9488.78 / Avg: 9499.33 / Max: 9511.28Min: 13539.78 / Avg: 13570.83 / Max: 13595.76Min: 19482.9 / Avg: 19577.03 / Max: 19680.111. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024M8M12M16M20MSE +/- 55451.20, N = 3SE +/- 6120.44, N = 3SE +/- 32954.83, N = 3SE +/- 65922.96, N = 3SE +/- 30731.73, N = 3SE +/- 19374.10, N = 3SE +/- 163606.09, N = 3SE +/- 15626.15, N = 3SE +/- 29075.41, N = 3SE +/- 9437.39, N = 3SE +/- 35625.01, N = 3SE +/- 28222.94, N = 3SE +/- 235328.27, N = 312627261.934265815.036612368.6713858394.618225794.4012896969.6420981193.885095560.1617727598.843438510.357003110.1810443329.1220917619.761. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context SwitchingEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024M8M12M16M20MMin: 12516504.31 / Avg: 12627261.93 / Max: 12687546.78Min: 4253702.33 / Avg: 4265815.03 / Max: 4273401.47Min: 6549932.25 / Avg: 6612368.67 / Max: 6661871.66Min: 13729117.41 / Avg: 13858394.61 / Max: 13945462.29Min: 8193174.36 / Avg: 8225794.4 / Max: 8287218.36Min: 12861868.91 / Avg: 12896969.64 / Max: 12928733.42Min: 20708784.06 / Avg: 20981193.88 / Max: 21274387.73Min: 5064455.01 / Avg: 5095560.16 / Max: 5113736.06Min: 17694612.55 / Avg: 17727598.84 / Max: 17785565.68Min: 3425266.43 / Avg: 3438510.35 / Max: 3456778.84Min: 6942183.09 / Avg: 7003110.18 / Max: 7065563.44Min: 10405966.38 / Avg: 10443329.12 / Max: 10498652.3Min: 20467620.04 / Avg: 20917619.76 / Max: 21262048.981. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021224364860SE +/- 1.06, N = 15SE +/- 0.72, N = 15SE +/- 0.37, N = 15SE +/- 0.67, N = 3SE +/- 1.23, N = 12SE +/- 1.28, N = 12SE +/- 0.36, N = 3SE +/- 0.77, N = 12SE +/- 0.96, N = 12SE +/- 0.49, N = 13SE +/- 0.68, N = 15SE +/- 0.69, N = 12SE +/- 0.81, N = 1551.3924.8530.1249.1946.3945.2344.3625.1749.7832.5332.7241.1143.701. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU CacheEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021020304050Min: 45.08 / Avg: 51.39 / Max: 61.54Min: 20.06 / Avg: 24.85 / Max: 30.63Min: 28.09 / Avg: 30.12 / Max: 33.69Min: 48.23 / Avg: 49.19 / Max: 50.47Min: 38.66 / Avg: 46.39 / Max: 52.29Min: 35.87 / Avg: 45.23 / Max: 51.94Min: 43.65 / Avg: 44.36 / Max: 44.75Min: 20.46 / Avg: 25.17 / Max: 29.16Min: 45.03 / Avg: 49.78 / Max: 56.32Min: 29.83 / Avg: 32.53 / Max: 36.16Min: 28.49 / Avg: 32.72 / Max: 38.56Min: 35.35 / Avg: 41.11 / Max: 44.78Min: 38.22 / Avg: 43.7 / Max: 48.671. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lbsd -lcrypt -lrt -lz -ldl -lpthread -lc

miniFE

OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200140.60152.28167.09128.37157.7352.66152.21142.84132.41149.38147.34181.39160.96139.02

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024K8K12K16K20KSE +/- 29.81, N = 3SE +/- 8.80, N = 3SE +/- 8.04, N = 3SE +/- 1.40, N = 3SE +/- 5.12, N = 3SE +/- 66.01, N = 14SE +/- 22.39, N = 3SE +/- 5.01, N = 3SE +/- 16.20, N = 3SE +/- 68.31, N = 3SE +/- 10.40, N = 3SE +/- 24.99, N = 3SE +/- 5.98, N = 3SE +/- 34.52, N = 319436.3019645.4017351.2010003.6016649.706787.0616649.5019256.7010066.6018424.1010156.6017082.4016743.6019155.401. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KMin: 19380.5 / Avg: 19436.3 / Max: 19482.4Min: 19632.2 / Avg: 19645.43 / Max: 19662.1Min: 17335.9 / Avg: 17351.17 / Max: 17363.2Min: 10000.9 / Avg: 10003.63 / Max: 10005.5Min: 16643.8 / Avg: 16649.7 / Max: 16659.9Min: 5976.74 / Avg: 6787.06 / Max: 6965.65Min: 16604.7 / Avg: 16649.47 / Max: 16672.4Min: 19250.6 / Avg: 19256.67 / Max: 19266.6Min: 10034.4 / Avg: 10066.63 / Max: 10085.6Min: 18336.1 / Avg: 18424.1 / Max: 18558.6Min: 10136.2 / Avg: 10156.6 / Max: 10170.3Min: 17033.7 / Avg: 17082.43 / Max: 17116.4Min: 16735 / Avg: 16743.6 / Max: 16755.1Min: 19088.2 / Avg: 19155.37 / Max: 19202.81. (CXX) g++ options: -O3 -fopenmp -pthread -lmpi_cxx -lmpi

Sysbench

This is a benchmark of Sysbench with CPU and memory sub-tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: CPUEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KSE +/- 7.32, N = 5SE +/- 2.64, N = 5SE +/- 10.65, N = 5SE +/- 20.39, N = 5SE +/- 7.33, N = 5SE +/- 9.32, N = 5SE +/- 52.65, N = 5SE +/- 5.53, N = 5SE +/- 23.00, N = 5SE +/- 1.09, N = 5SE +/- 9.93, N = 5SE +/- 12.89, N = 5SE +/- 97.15, N = 555254.6616323.9226778.6256066.7932649.3656038.72108892.2220091.9680743.8913398.1027632.1942008.11106421.951. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: CPUEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KMin: 55238.42 / Avg: 55254.66 / Max: 55276.83Min: 16316.25 / Avg: 16323.92 / Max: 16331.8Min: 26746.06 / Avg: 26778.62 / Max: 26804.47Min: 55989.07 / Avg: 56066.79 / Max: 56109.25Min: 32621.61 / Avg: 32649.36 / Max: 32663.3Min: 56017.18 / Avg: 56038.72 / Max: 56065.58Min: 108721.1 / Avg: 108892.22 / Max: 109052.86Min: 20074.61 / Avg: 20091.96 / Max: 20104.41Min: 80668.55 / Avg: 80743.89 / Max: 80805.58Min: 13395.23 / Avg: 13398.1 / Max: 13400.85Min: 27594.22 / Avg: 27632.19 / Max: 27651.61Min: 41974.26 / Avg: 42008.11 / Max: 42044Min: 106076.46 / Avg: 106421.95 / Max: 106643.261. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: MemoryEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022M4M6M8M10MSE +/- 61191.25, N = 15SE +/- 717.93, N = 5SE +/- 11575.58, N = 5SE +/- 8561.16, N = 5SE +/- 17904.29, N = 5SE +/- 5458.69, N = 5SE +/- 35042.66, N = 5SE +/- 1918.40, N = 5SE +/- 14871.56, N = 5SE +/- 12382.78, N = 5SE +/- 780.60, N = 5SE +/- 6709.34, N = 5SE +/- 11992.02, N = 54720934.264656182.267880986.596618850.243087955.636612746.506374595.127232205.306380400.355942474.374502591.455614019.496302136.651. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 2018-07-28Test: MemoryEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.4M2.8M4.2M5.6M7MMin: 4407088.34 / Avg: 4720934.26 / Max: 5255661.79Min: 4654731.01 / Avg: 4656182.26 / Max: 4658759.57Min: 7856776.88 / Avg: 7880986.59 / Max: 7920212.37Min: 6607713.8 / Avg: 6618850.24 / Max: 6652865.09Min: 3067897.69 / Avg: 3087955.63 / Max: 3159400.31Min: 6604337.31 / Avg: 6612746.5 / Max: 6634214.25Min: 6319346.34 / Avg: 6374595.12 / Max: 6505001.22Min: 7225906.31 / Avg: 7232205.3 / Max: 7236184.18Min: 6349678.61 / Avg: 6380400.35 / Max: 6428305.03Min: 5895950.69 / Avg: 5942474.37 / Max: 5962905.57Min: 4500022.71 / Avg: 4502591.45 / Max: 4504708.71Min: 5602311.72 / Avg: 5614019.49 / Max: 5638809.43Min: 6269344.44 / Avg: 6302136.65 / Max: 6328806.521. (CC) gcc options: -pthread -O3 -funroll-loops -ggdb3 -march=amdfam10 -rdynamic -ldl -laio -lm

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022M4M6M8M10M6228384.629577991.035939960.676697956.104682548.386513520.255265803.496485573.105919717.787366263.788667240.717131421.005138262.51

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200M400M600M800M1000MSE +/- 422202.49, N = 3SE +/- 322962.48, N = 6SE +/- 314598.13, N = 3SE +/- 142607.92, N = 3SE +/- 3149876.45, N = 4SE +/- 998206.04, N = 3SE +/- 229126.62, N = 3SE +/- 252656.85, N = 4SE +/- 989060.38, N = 3SE +/- 295157.17, N = 5SE +/- 405072.19, N = 4SE +/- 643499.89, N = 3SE +/- 507394.80, N = 39095326678098445834557606337743294676431809257743048008837352004578553508568934004499164607882668757784594338783753331. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702160M320M480M640M800MMin: 908914700 / Avg: 909532666.67 / Max: 910340000Min: 808702900 / Avg: 809844583.33 / Max: 810642700Min: 455133300 / Avg: 455760633.33 / Max: 456116200Min: 774119000 / Avg: 774329466.67 / Max: 774601400Min: 634035200 / Avg: 643180925 / Max: 647428500Min: 772483400 / Avg: 774304800 / Max: 775923400Min: 883287900 / Avg: 883735200 / Max: 884045100Min: 457151100 / Avg: 457855350 / Max: 458299300Min: 854937100 / Avg: 856893400 / Max: 858125300Min: 448913300 / Avg: 449916460 / Max: 450629100Min: 787578900 / Avg: 788266875 / Max: 789313600Min: 777565100 / Avg: 778459433.33 / Max: 779708100Min: 877829000 / Avg: 878375333.33 / Max: 8793891001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

BlogBench

OpenBenchmarking.orgFinal Score Per Watt, More Is BetterBlogBench 1.1Test: ReadEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77026K12K18K24K30K12835.0314192.8619861.2127647.8420274.6212966.2920067.1410885.3728304.9815592.3629655.3822851.8121034.0710196.91

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

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400K800K1200K1600K2000KSE +/- 14031.09, N = 3SE +/- 13194.50, N = 3SE +/- 14389.61, N = 3SE +/- 12175.94, N = 3SE +/- 7106.01, N = 3SE +/- 13461.20, N = 3SE +/- 7760.40, N = 3SE +/- 9874.65, N = 3SE +/- 20232.46, N = 3SE +/- 4883.16, N = 3SE +/- 16960.13, N = 3SE +/- 7235.14, N = 3SE +/- 7805.03, N = 3SE +/- 10548.76, N = 3158335016360921772037204303719233681676516195008013974752023180177162419444961898428195961513729551. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: ReadEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400K800K1200K1600K2000KMin: 1565457 / Avg: 1583350 / Max: 1611018Min: 1610844 / Avg: 1636092.33 / Max: 1655363Min: 1743950 / Avg: 1772037 / Max: 1791514Min: 2022967 / Avg: 2043037.33 / Max: 2065016Min: 1909275 / Avg: 1923368 / Max: 1932004Min: 1650220 / Avg: 1676515.67 / Max: 1694665Min: 1935120 / Avg: 1950080.33 / Max: 1961140Min: 1384215 / Avg: 1397475 / Max: 1416780Min: 1992185 / Avg: 2023179.67 / Max: 2061206Min: 1764285 / Avg: 1771624.33 / Max: 1780874Min: 1916141 / Avg: 1944496.33 / Max: 1974796Min: 1890301 / Avg: 1898428 / Max: 1912860Min: 1944836 / Avg: 1959614.67 / Max: 1971357Min: 1360224 / Avg: 1372955 / Max: 13938901. (CC) gcc options: -O2 -pthread

OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: WriteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770210K20K30K40K50KSE +/- 2455.63, N = 3SE +/- 1222.34, N = 3SE +/- 648.32, N = 3SE +/- 361.51, N = 3SE +/- 1923.72, N = 3SE +/- 379.22, N = 3SE +/- 1515.78, N = 3SE +/- 249.84, N = 3SE +/- 66.78, N = 3SE +/- 2893.83, N = 3SE +/- 510.12, N = 3SE +/- 448.51, N = 3SE +/- 1363.32, N = 3SE +/- 312.03, N = 339319394122744333627434083683443733454772866341586219163702642491444341. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgFinal Score, More Is BetterBlogBench 1.1Test: WriteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77028K16K24K32K40KMin: 34451 / Avg: 39318.67 / Max: 42318Min: 36967 / Avg: 39411.67 / Max: 40640Min: 26499 / Avg: 27443.33 / Max: 28685Min: 33112 / Avg: 33627 / Max: 34324Min: 39566 / Avg: 43408.33 / Max: 45501Min: 36386 / Avg: 36834 / Max: 37588Min: 40707 / Avg: 43733 / Max: 45405Min: 44984 / Avg: 45477 / Max: 45794Min: 28551 / Avg: 28663 / Max: 28782Min: 35861 / Avg: 41586 / Max: 45184Min: 20947 / Avg: 21916 / Max: 22677Min: 36148 / Avg: 37025.67 / Max: 37625Min: 39807 / Avg: 42491 / Max: 44249Min: 43811 / Avg: 44434.33 / Max: 447721. (CC) gcc options: -O2 -pthread

OSPray

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.01580.03160.04740.06320.0790.060.050.020.040.050.020.050.070.030.060.020.030.040.07

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.0090.0180.0270.0360.0450.030.020.010.020.020.010.030.040.020.030.010.020.020.03

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.17550.3510.52650.7020.87750.650.470.180.380.590.210.570.780.290.710.220.340.440.76

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.0270.0540.0810.1080.1350.090.070.030.060.080.030.080.120.050.100.040.050.060.11

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.1620.3240.4860.6480.810.620.430.160.340.590.210.570.720.260.690.190.310.440.67

OpenBenchmarking.orgFPS Per Watt, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.0090.0180.0270.0360.0450.030.020.010.020.020.010.020.040.010.030.010.020.020.03

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645SE +/- 0.00, N = 6SE +/- 0.08, N = 6SE +/- 0.00, N = 4SE +/- 0.00, N = 5SE +/- 0.06, N = 3SE +/- 0.17, N = 5SE +/- 0.00, N = 3SE +/- 0.00, N = 6SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 534.4825.008.1613.8927.7813.4526.0540.0010.4234.486.9914.0820.8340.00MIN: 33.33 / MAX: 35.71MIN: 23.81 / MAX: 25.64MIN: 6.85 / MAX: 8.4MIN: 13.33 / MAX: 14.08MIN: 27.03MIN: 12.82 / MAX: 13.89MIN: 25.64 / MAX: 26.32MIN: 38.46 / MAX: 41.67MIN: 10.1 / MAX: 10.64MIN: 33.33 / MAX: 35.71MIN: 5.95 / MAX: 7.04MIN: 12.99 / MAX: 14.29MIN: 20.41 / MAX: 21.28MIN: 34.48 / MAX: 41.67
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: Magnetic Reconnection - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 34.48 / Avg: 34.48 / Max: 34.48Min: 7.75 / Avg: 8.16 / Max: 8.26Min: 13.89 / Avg: 13.89 / Max: 13.89Min: 27.78 / Avg: 27.78 / Max: 27.78Min: 13.33 / Avg: 13.45 / Max: 13.51Min: 25.64 / Avg: 26.05 / Max: 26.32Min: 10.42 / Avg: 10.42 / Max: 10.42Min: 34.48 / Avg: 34.48 / Max: 34.48Min: 6.99 / Avg: 6.99 / Max: 6.99Min: 14.08 / Avg: 14.08 / Max: 14.08Min: 20.83 / Avg: 20.83 / Max: 20.83

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 39.586.902.393.727.584.457.0111.242.939.521.894.025.7611.07MIN: 9.17 / MAX: 9.71MIN: 6.8 / MAX: 6.99MIN: 2.37 / MAX: 2.42MIN: 3.69 / MAX: 3.76MIN: 7.46 / MAX: 7.63MIN: 4.31 / MAX: 4.52MIN: 6.94 / MAX: 7.09MIN: 10.99 / MAX: 11.36MIN: 2.9 / MAX: 2.97MIN: 9.35 / MAX: 9.62MIN: 1.84 / MAX: 1.91MIN: 3.98 / MAX: 4.05MIN: 5.68 / MAX: 5.81MIN: 10.75 / MAX: 11.24
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 9.52 / Avg: 9.58 / Max: 9.62Min: 6.9 / Avg: 6.9 / Max: 6.9Min: 2.39 / Avg: 2.39 / Max: 2.39Min: 3.72 / Avg: 3.72 / Max: 3.72Min: 7.58 / Avg: 7.58 / Max: 7.58Min: 4.44 / Avg: 4.45 / Max: 4.46Min: 6.99 / Avg: 7.01 / Max: 7.04Min: 11.24 / Avg: 11.24 / Max: 11.24Min: 2.93 / Avg: 2.93 / Max: 2.93Min: 9.52 / Avg: 9.52 / Max: 9.52Min: 1.89 / Avg: 1.89 / Max: 1.89Min: 4.02 / Avg: 4.02 / Max: 4.02Min: 5.75 / Avg: 5.76 / Max: 5.78Min: 10.99 / Avg: 11.07 / Max: 11.11

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.153.701.271.984.042.343.756.001.555.100.992.153.075.92MIN: 5.08 / MAX: 5.21MIN: 3.64 / MAX: 3.73MIN: 1.26 / MAX: 1.28MIN: 1.96 / MAX: 1.99MIN: 3.98 / MAX: 4.07MIN: 2.29 / MAX: 2.38MIN: 3.72 / MAX: 3.77MIN: 5.92 / MAX: 6.06MIN: 1.54 / MAX: 1.57MIN: 5.05 / MAX: 5.15MAX: 1MIN: 2.13 / MAX: 2.16MIN: 3.02 / MAX: 3.11MIN: 5.85 / MAX: 5.99
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: XFrog Forest - Renderer: Path TracerEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 5.13 / Avg: 5.15 / Max: 5.15Min: 3.7 / Avg: 3.7 / Max: 3.7Min: 1.27 / Avg: 1.27 / Max: 1.27Min: 1.98 / Avg: 1.98 / Max: 1.98Min: 4.03 / Avg: 4.04 / Max: 4.05Min: 2.33 / Avg: 2.34 / Max: 2.35Min: 3.75 / Avg: 3.75 / Max: 3.75Min: 5.99 / Avg: 6 / Max: 6.02Min: 1.55 / Avg: 1.55 / Max: 1.55Min: 5.1 / Avg: 5.1 / Max: 5.1Min: 0.99 / Avg: 0.99 / Max: 0.99Min: 2.15 / Avg: 2.15 / Max: 2.15Min: 3.06 / Avg: 3.07 / Max: 3.08Min: 5.92 / Avg: 5.92 / Max: 5.92

PlaidML

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.02480.04960.07440.09920.1240.070.070.090.110.100.070.090.070.110.080.100.090.090.06

dav1d

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024812162014.7011.307.0612.8816.367.4015.8015.5411.3515.428.7410.9314.3713.08

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.00, N = 7SE +/- 0.00, N = 6SE +/- 0.00, N = 4SE +/- 0.00, N = 5SE +/- 0.49, N = 6SE +/- 0.18, N = 5SE +/- 0.00, N = 7SE +/- 0.00, N = 4SE +/- 0.00, N = 7SE +/- 0.00, N = 3SE +/- 0.00, N = 5SE +/- 0.00, N = 6SE +/- 0.00, N = 766.6747.6217.2427.7855.0729.5950.0076.9221.7466.6714.2929.4141.6776.92MIN: 62.5 / MAX: 71.43MIN: 45.45 / MAX: 50MIN: 16.67 / MAX: 17.86MIN: 26.32MIN: 50 / MAX: 55.56MIN: 27.78 / MAX: 31.25MIN: 45.45 / MAX: 52.63MIN: 62.5 / MAX: 83.33MIN: 20.83 / MAX: 22.22MIN: 58.82 / MAX: 71.43MIN: 13.89 / MAX: 14.49MIN: 27.78MIN: 38.46 / MAX: 43.48MIN: 71.43 / MAX: 83.33
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021530456075Min: 66.67 / Avg: 66.67 / Max: 66.67Min: 47.62 / Avg: 47.62 / Max: 47.62Min: 17.24 / Avg: 17.24 / Max: 17.24Min: 27.78 / Avg: 27.78 / Max: 27.78Min: 52.63 / Avg: 55.07 / Max: 55.56Min: 29.41 / Avg: 29.59 / Max: 30.3Min: 76.92 / Avg: 76.92 / Max: 76.92Min: 21.74 / Avg: 21.74 / Max: 21.74Min: 66.67 / Avg: 66.67 / Max: 66.67Min: 14.29 / Avg: 14.29 / Max: 14.29Min: 29.41 / Avg: 29.41 / Max: 29.41Min: 41.67 / Avg: 41.67 / Max: 41.67Min: 76.92 / Avg: 76.92 / Max: 76.92

PlaidML

OpenBenchmarking.orgFPS Per Watt, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.0540.1080.1620.2160.270.200.190.090.180.210.110.220.240.150.220.110.160.190.21

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021326395265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.17, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 350.0035.7112.5019.6140.0022.5637.0458.8215.6350.0010.3120.8330.3055.56MIN: 47.62 / MAX: 52.63MIN: 33.33 / MAX: 38.46MIN: 12.2 / MAX: 13.33MIN: 19.23 / MAX: 21.28MIN: 37.04 / MAX: 41.67MIN: 21.28 / MAX: 24.39MIN: 34.48 / MAX: 40MIN: 52.63 / MAX: 62.5MIN: 15.15 / MAX: 16.67MIN: 47.62 / MAX: 52.63MIN: 10.1 / MAX: 10.99MIN: 20.41 / MAX: 22.73MIN: 29.41 / MAX: 32.26MIN: 50 / MAX: 62.5
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: SciVisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021224364860Min: 35.71 / Avg: 35.71 / Max: 35.71Min: 12.5 / Avg: 12.5 / Max: 12.5Min: 19.61 / Avg: 19.61 / Max: 19.61Min: 22.22 / Avg: 22.56 / Max: 22.73Min: 37.04 / Avg: 37.04 / Max: 37.04Min: 58.82 / Avg: 58.82 / Max: 58.82Min: 15.63 / Avg: 15.63 / Max: 15.63Min: 10.31 / Avg: 10.31 / Max: 10.31Min: 20.83 / Avg: 20.83 / Max: 20.83Min: 30.3 / Avg: 30.3 / Max: 30.3Min: 55.56 / Avg: 55.56 / Max: 55.56

TTSIOD 3D Renderer

OpenBenchmarking.orgFPS Per Watt, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770236912156.807.174.418.159.074.638.756.316.968.105.677.067.795.54

dav1d

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.1072.2143.3214.4285.5354.613.542.003.734.912.064.624.923.134.652.513.324.144.45

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024812162015.5511.847.8315.0317.378.0716.8015.2513.0816.6710.2412.6114.9612.64

OpenBenchmarking.orgFPS Per Watt, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.58281.16561.74842.33122.9142.341.841.622.292.581.472.532.372.152.591.952.002.262.22

OSPray

Intel OSPray is a portable ray-tracing engine for high-performance, high-fidenlity scientific visualizations. OSPray builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 414.4910.423.655.6511.366.8310.6016.954.3914.292.826.078.7716.67MIN: 14.08 / MAX: 14.71MIN: 10.2 / MAX: 10.53MIN: 3.58 / MAX: 3.69MIN: 5.59 / MAX: 5.75MIN: 11.11 / MAX: 11.49MIN: 6.67 / MAX: 6.94MIN: 10.42 / MAX: 10.75MIN: 16.39 / MAX: 17.24MIN: 4.33 / MAX: 4.44MIN: 13.89 / MAX: 14.49MIN: 2.79 / MAX: 2.86MIN: 5.99 / MAX: 6.13MIN: 8.62 / MAX: 8.85MIN: 16.39 / MAX: 16.95
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: NASA Streamlines - Renderer: Path TracerEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620Min: 14.49 / Avg: 14.49 / Max: 14.49Min: 10.42 / Avg: 10.42 / Max: 10.42Min: 3.64 / Avg: 3.65 / Max: 3.65Min: 5.65 / Avg: 5.65 / Max: 5.65Min: 11.36 / Avg: 11.36 / Max: 11.36Min: 6.8 / Avg: 6.83 / Max: 6.85Min: 10.53 / Avg: 10.6 / Max: 10.64Min: 16.95 / Avg: 16.95 / Max: 16.95Min: 4.39 / Avg: 4.39 / Max: 4.39Min: 14.29 / Avg: 14.29 / Max: 14.29Min: 2.82 / Avg: 2.82 / Max: 2.83Min: 6.06 / Avg: 6.07 / Max: 6.1Min: 8.77 / Avg: 8.77 / Max: 8.77Min: 16.67 / Avg: 16.67 / Max: 16.67

OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.12282.24563.36844.49125.614SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.212.970.951.593.231.483.034.991.224.170.761.652.454.92MIN: 4.1 / MAX: 4.24MIN: 2.93 / MAX: 2.99MIN: 1.58 / MAX: 1.6MIN: 3.19 / MAX: 3.24MIN: 1.47 / MAX: 1.49MIN: 2.99 / MAX: 3.04MIN: 4.95 / MAX: 5.03MIN: 1.21MIN: 4.12 / MAX: 4.18MAX: 0.77MIN: 1.63MIN: 2.43 / MAX: 2.46MIN: 4.88 / MAX: 4.95
OpenBenchmarking.orgFPS, More Is BetterOSPray 1.8.5Demo: San Miguel - Renderer: Path TracerEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 4.2 / Avg: 4.21 / Max: 4.22Min: 2.97 / Avg: 2.97 / Max: 2.97Min: 0.95 / Avg: 0.95 / Max: 0.95Min: 1.59 / Avg: 1.59 / Max: 1.59Min: 3.23 / Avg: 3.23 / Max: 3.23Min: 1.48 / Avg: 1.48 / Max: 1.48Min: 3.03 / Avg: 3.03 / Max: 3.03Min: 4.98 / Avg: 4.99 / Max: 5Min: 1.22 / Avg: 1.22 / Max: 1.22Min: 4.17 / Avg: 4.17 / Max: 4.17Min: 0.76 / Avg: 0.76 / Max: 0.76Min: 1.65 / Avg: 1.65 / Max: 1.65Min: 2.44 / Avg: 2.45 / Max: 2.45Min: 4.9 / Avg: 4.92 / Max: 4.93

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000SE +/- 12.71, N = 3SE +/- 3.72, N = 3SE +/- 0.88, N = 3SE +/- 1.34, N = 3SE +/- 1.67, N = 3SE +/- 0.21, N = 3SE +/- 2.79, N = 3SE +/- 3.57, N = 3SE +/- 0.85, N = 3SE +/- 6.72, N = 12SE +/- 0.73, N = 3SE +/- 1.71, N = 3SE +/- 2.84, N = 3SE +/- 4.91, N = 3889.39849.27359.54563.20858.47589.10857.99873.42457.13933.04327.45551.97721.30792.501. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++
OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702160320480640800Min: 864.6 / Avg: 889.39 / Max: 906.7Min: 843.53 / Avg: 849.27 / Max: 856.24Min: 357.91 / Avg: 359.54 / Max: 360.93Min: 561.8 / Avg: 563.2 / Max: 565.87Min: 855.29 / Avg: 858.47 / Max: 860.96Min: 588.69 / Avg: 589.1 / Max: 589.38Min: 853.39 / Avg: 857.99 / Max: 863.04Min: 866.7 / Avg: 873.42 / Max: 878.89Min: 455.79 / Avg: 457.13 / Max: 458.72Min: 896.62 / Avg: 933.04 / Max: 961.45Min: 326.51 / Avg: 327.45 / Max: 328.88Min: 548.55 / Avg: 551.97 / Max: 553.8Min: 716.79 / Avg: 721.3 / Max: 726.53Min: 782.72 / Avg: 792.5 / Max: 798.091. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -msse -mrecip -mfpmath=sse -msse2 -mssse3 -lSDL -fopenmp -fwhole-program -lstdc++

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 37.815.682.163.166.174.045.738.972.477.201.753.314.767.88
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 7.8 / Avg: 7.81 / Max: 7.83Min: 5.67 / Avg: 5.68 / Max: 5.68Min: 2.14 / Avg: 2.16 / Max: 2.2Min: 3.14 / Avg: 3.16 / Max: 3.18Min: 6.13 / Avg: 6.17 / Max: 6.19Min: 4.02 / Avg: 4.04 / Max: 4.07Min: 5.73 / Avg: 5.73 / Max: 5.73Min: 8.97 / Avg: 8.97 / Max: 8.97Min: 2.45 / Avg: 2.47 / Max: 2.48Min: 7.19 / Avg: 7.2 / Max: 7.22Min: 1.72 / Avg: 1.75 / Max: 1.76Min: 3.3 / Avg: 3.31 / Max: 3.32Min: 4.74 / Avg: 4.76 / Max: 4.8Min: 7.84 / Avg: 7.88 / Max: 7.9

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 37.795.682.163.236.134.025.728.982.477.221.743.324.737.88
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 7.78 / Avg: 7.79 / Max: 7.81Min: 5.67 / Avg: 5.68 / Max: 5.69Min: 2.14 / Avg: 2.16 / Max: 2.18Min: 3.2 / Avg: 3.23 / Max: 3.25Min: 6.03 / Avg: 6.13 / Max: 6.19Min: 4.02 / Avg: 4.02 / Max: 4.03Min: 5.7 / Avg: 5.72 / Max: 5.74Min: 8.97 / Avg: 8.98 / Max: 9.01Min: 2.44 / Avg: 2.47 / Max: 2.5Min: 7.19 / Avg: 7.22 / Max: 7.24Min: 1.71 / Avg: 1.74 / Max: 1.76Min: 3.31 / Avg: 3.32 / Max: 3.32Min: 4.68 / Avg: 4.73 / Max: 4.79Min: 7.84 / Avg: 7.88 / Max: 7.9

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77026K12K18K24K30KSE +/- 31.70, N = 3SE +/- 22.86, N = 3SE +/- 52.69, N = 3SE +/- 50.79, N = 3SE +/- 85.72, N = 3SE +/- 43.76, N = 3SE +/- 42.04, N = 3SE +/- 46.32, N = 3SE +/- 89.67, N = 3SE +/- 55.79, N = 3SE +/- 41.71, N = 15SE +/- 21.57, N = 3SE +/- 95.61, N = 3SE +/- 28.57, N = 322986.0516446.884953.6510017.9819922.019663.4318612.5428284.876689.9523441.914012.409316.8012800.5925067.04
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025K10K15K20K25KMin: 22927.38 / Avg: 22986.05 / Max: 23036.21Min: 16403.4 / Avg: 16446.88 / Max: 16480.83Min: 4855.38 / Avg: 4953.65 / Max: 5035.74Min: 9917.01 / Avg: 10017.98 / Max: 10078.03Min: 19751.03 / Avg: 19922.01 / Max: 20018.47Min: 9575.98 / Avg: 9663.43 / Max: 9710.01Min: 18567.53 / Avg: 18612.54 / Max: 18696.54Min: 28192.24 / Avg: 28284.87 / Max: 28331.27Min: 6524.74 / Avg: 6689.95 / Max: 6832.97Min: 23347.44 / Avg: 23441.91 / Max: 23540.57Min: 3827.5 / Avg: 4012.4 / Max: 4339.41Min: 9293.16 / Avg: 9316.8 / Max: 9359.87Min: 12615.39 / Avg: 12800.59 / Max: 12934.43Min: 25025.67 / Avg: 25067.04 / Max: 25121.85

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77026K12K18K24K30KSE +/- 4.60, N = 3SE +/- 24.60, N = 3SE +/- 6.26, N = 3SE +/- 103.67, N = 4SE +/- 75.75, N = 3SE +/- 47.83, N = 3SE +/- 60.57, N = 3SE +/- 30.27, N = 3SE +/- 21.76, N = 3SE +/- 49.13, N = 3SE +/- 46.05, N = 4SE +/- 6.65, N = 3SE +/- 157.24, N = 3SE +/- 48.27, N = 322996.9316443.734984.359884.6219958.419866.0818514.6028316.506803.0923559.174115.449314.8213220.9525012.98
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025K10K15K20K25KMin: 22990.44 / Avg: 22996.93 / Max: 23005.82Min: 16395.26 / Avg: 16443.73 / Max: 16475.33Min: 4971.91 / Avg: 4984.35 / Max: 4991.8Min: 9618.02 / Avg: 9884.62 / Max: 10112.13Min: 19820.95 / Avg: 19958.41 / Max: 20082.32Min: 9816.8 / Avg: 9866.08 / Max: 9961.72Min: 18416.86 / Avg: 18514.6 / Max: 18625.46Min: 28279.61 / Avg: 28316.5 / Max: 28376.51Min: 6767.48 / Avg: 6803.09 / Max: 6842.56Min: 23467.34 / Avg: 23559.17 / Max: 23635.37Min: 4003.8 / Avg: 4115.44 / Max: 4226.83Min: 9307.85 / Avg: 9314.82 / Max: 9328.12Min: 12906.62 / Avg: 13220.95 / Max: 13386.45Min: 24963.18 / Avg: 25012.98 / Max: 25109.5

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.674.201.662.374.742.994.376.621.815.531.292.513.536.02
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 5.66 / Avg: 5.67 / Max: 5.68Min: 4.19 / Avg: 4.2 / Max: 4.21Min: 1.65 / Avg: 1.66 / Max: 1.67Min: 2.34 / Avg: 2.37 / Max: 2.38Min: 4.72 / Avg: 4.74 / Max: 4.75Min: 2.97 / Avg: 2.99 / Max: 3.01Min: 4.33 / Avg: 4.37 / Max: 4.4Min: 6.6 / Avg: 6.62 / Max: 6.64Min: 1.8 / Avg: 1.81 / Max: 1.82Min: 5.51 / Avg: 5.53 / Max: 5.56Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 2.5 / Avg: 2.51 / Max: 2.52Min: 3.52 / Avg: 3.53 / Max: 3.56Min: 6.01 / Avg: 6.02 / Max: 6.03

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 35.674.191.642.384.702.984.366.601.815.531.282.513.516.05
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 5.66 / Avg: 5.67 / Max: 5.68Min: 4.18 / Avg: 4.19 / Max: 4.2Min: 1.64 / Avg: 1.64 / Max: 1.65Min: 2.37 / Avg: 2.38 / Max: 2.39Min: 4.69 / Avg: 4.7 / Max: 4.72Min: 2.97 / Avg: 2.98 / Max: 2.99Min: 4.32 / Avg: 4.36 / Max: 4.4Min: 6.58 / Avg: 6.6 / Max: 6.63Min: 1.8 / Avg: 1.81 / Max: 1.82Min: 5.52 / Avg: 5.53 / Max: 5.54Min: 1.27 / Avg: 1.28 / Max: 1.29Min: 2.5 / Avg: 2.51 / Max: 2.52Min: 3.5 / Avg: 3.51 / Max: 3.53Min: 6.03 / Avg: 6.05 / Max: 6.06

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 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.34782.69564.04345.39126.739SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 35.725.715.965.575.845.995.765.765.535.675.175.675.685.56
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: ResNet 50 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 5.7 / Avg: 5.72 / Max: 5.73Min: 5.68 / Avg: 5.71 / Max: 5.73Min: 5.9 / Avg: 5.96 / Max: 6.02Min: 5.55 / Avg: 5.57 / Max: 5.59Min: 5.82 / Avg: 5.84 / Max: 5.86Min: 5.9 / Avg: 5.99 / Max: 6.05Min: 5.73 / Avg: 5.76 / Max: 5.78Min: 5.73 / Avg: 5.76 / Max: 5.79Min: 5.46 / Avg: 5.53 / Max: 5.61Min: 5.64 / Avg: 5.67 / Max: 5.69Min: 5.14 / Avg: 5.17 / Max: 5.2Min: 5.65 / Avg: 5.67 / Max: 5.68Min: 5.62 / Avg: 5.68 / Max: 5.72Min: 5.54 / Avg: 5.56 / Max: 5.58

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645SE +/- 0.45, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.37, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 3SE +/- 0.46, N = 4SE +/- 0.22, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 335.2530.3614.6720.3433.3324.2932.0537.3816.7932.6811.4121.2427.8131.89
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 34.41 / Avg: 35.25 / Max: 35.93Min: 30.21 / Avg: 30.36 / Max: 30.58Min: 14.6 / Avg: 14.67 / Max: 14.82Min: 20.24 / Avg: 20.34 / Max: 20.43Min: 32.65 / Avg: 33.33 / Max: 33.94Min: 24.18 / Avg: 24.29 / Max: 24.46Min: 31.69 / Avg: 32.05 / Max: 32.3Min: 36.33 / Avg: 37.38 / Max: 38.57Min: 16.5 / Avg: 16.79 / Max: 17.22Min: 32.38 / Avg: 32.68 / Max: 32.94Min: 11.13 / Avg: 11.41 / Max: 11.63Min: 21.13 / Avg: 21.24 / Max: 21.44Min: 27.57 / Avg: 27.81 / Max: 27.96Min: 31.34 / Avg: 31.89 / Max: 32.28

OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.21, N = 3SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 329.3725.3512.0616.6127.6720.0026.5131.8413.6727.509.3017.3923.3426.49
OpenBenchmarking.orgFPS, More Is BetterPlaidMLFP16: No - Mode: Inference - Network: VGG19 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835Min: 29.23 / Avg: 29.37 / Max: 29.61Min: 25.31 / Avg: 25.35 / Max: 25.42Min: 11.98 / Avg: 12.06 / Max: 12.18Min: 16.52 / Avg: 16.61 / Max: 16.72Min: 27.53 / Avg: 27.67 / Max: 27.96Min: 19.79 / Avg: 20 / Max: 20.19Min: 26.11 / Avg: 26.51 / Max: 26.82Min: 31.48 / Avg: 31.84 / Max: 32.35Min: 13.44 / Avg: 13.67 / Max: 13.83Min: 27.47 / Avg: 27.5 / Max: 27.53Min: 9.23 / Avg: 9.3 / Max: 9.41Min: 17.26 / Avg: 17.39 / Max: 17.46Min: 23.11 / Avg: 23.34 / Max: 23.52Min: 26.42 / Avg: 26.49 / Max: 26.59

dav1d

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

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230060090012001500SE +/- 1.10, N = 3SE +/- 1.15, N = 3SE +/- 0.28, N = 3SE +/- 0.46, N = 3SE +/- 0.47, N = 3SE +/- 1.44, N = 3SE +/- 1.87, N = 3SE +/- 3.75, N = 3SE +/- 0.90, N = 3SE +/- 3.10, N = 3SE +/- 0.82, N = 3SE +/- 0.73, N = 3SE +/- 2.68, N = 3SE +/- 1.60, N = 31070.09880.57453.36644.23937.44651.36932.751193.66555.111044.25419.19634.51847.401050.99MIN: 574.58 / MAX: 1186.8MIN: 567.79 / MAX: 985.57MIN: 400.76 / MAX: 488.59MIN: 503.48 / MAX: 704.1MIN: 659.51 / MAX: 1052.41MIN: 480.87 / MAX: 706.63MIN: 659.65 / MAX: 1047.61MIN: 500.62 / MAX: 1329.43MIN: 463.4 / MAX: 605.59MIN: 554.63 / MAX: 1157.48MIN: 370.7 / MAX: 456.84MIN: 482.67 / MAX: 693.38MIN: 566.75 / MAX: 939.62MIN: 478.51 / MAX: 1166.671. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000Min: 1068.71 / Avg: 1070.09 / Max: 1072.27Min: 879.23 / Avg: 880.57 / Max: 882.86Min: 452.94 / Avg: 453.36 / Max: 453.9Min: 643.31 / Avg: 644.23 / Max: 644.7Min: 936.52 / Avg: 937.44 / Max: 938.02Min: 648.52 / Avg: 651.36 / Max: 653.25Min: 929.58 / Avg: 932.75 / Max: 936.06Min: 1186.16 / Avg: 1193.66 / Max: 1197.47Min: 553.68 / Avg: 555.11 / Max: 556.76Min: 1038.12 / Avg: 1044.25 / Max: 1048.12Min: 417.79 / Avg: 419.19 / Max: 420.62Min: 633.06 / Avg: 634.51 / Max: 635.27Min: 842.07 / Avg: 847.4 / Max: 850.64Min: 1048.15 / Avg: 1050.99 / Max: 1053.71. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702100200300400500SE +/- 0.17, N = 3SE +/- 0.29, N = 3SE +/- 0.27, N = 3SE +/- 0.22, N = 3SE +/- 0.75, N = 3SE +/- 0.46, N = 3SE +/- 0.16, N = 3SE +/- 0.74, N = 3SE +/- 0.16, N = 3SE +/- 0.66, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3SE +/- 0.61, N = 3SE +/- 0.34, N = 3416.96349.99168.17239.84367.19244.17361.72457.27203.40406.93150.43245.60328.54437.31MIN: 251.44 / MAX: 465MIN: 266.02 / MAX: 399.72MIN: 157.91 / MAX: 191.26MIN: 211 / MAX: 275.93MIN: 288.65 / MAX: 424.55MIN: 200.55 / MAX: 270.42MIN: 287.95 / MAX: 416.23MIN: 225.33 / MAX: 494.73MIN: 187.66 / MAX: 232.21MIN: 257.69 / MAX: 456.39MIN: 141.09 / MAX: 170.16MIN: 210.68 / MAX: 281.84MIN: 249.05 / MAX: 376.65MIN: 217.67 / MAX: 473.181. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Summer Nature 4KEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280160240320400Min: 416.77 / Avg: 416.96 / Max: 417.29Min: 349.42 / Avg: 349.99 / Max: 350.39Min: 167.67 / Avg: 168.17 / Max: 168.6Min: 239.57 / Avg: 239.84 / Max: 240.27Min: 365.83 / Avg: 367.19 / Max: 368.43Min: 243.51 / Avg: 244.17 / Max: 245.05Min: 361.4 / Avg: 361.72 / Max: 361.91Min: 455.84 / Avg: 457.27 / Max: 458.3Min: 203.1 / Avg: 203.4 / Max: 203.66Min: 405.7 / Avg: 406.93 / Max: 407.97Min: 150.28 / Avg: 150.43 / Max: 150.7Min: 245.22 / Avg: 245.6 / Max: 246Min: 327.42 / Avg: 328.54 / Max: 329.53Min: 436.66 / Avg: 437.31 / Max: 437.791. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000SE +/- 0.45, N = 3SE +/- 2.20, N = 3SE +/- 0.38, N = 3SE +/- 0.66, N = 3SE +/- 0.52, N = 3SE +/- 1.86, N = 3SE +/- 0.95, N = 3SE +/- 2.82, N = 3SE +/- 1.45, N = 3SE +/- 2.26, N = 3SE +/- 0.34, N = 3SE +/- 0.72, N = 3SE +/- 1.22, N = 3SE +/- 3.47, N = 31116.83892.42496.11712.26939.90671.07937.731158.08624.791095.40473.82698.08839.06983.61MIN: 672.49 / MAX: 1434.66MIN: 641.23 / MAX: 1144.96MIN: 390.79 / MAX: 704.31MIN: 546.18 / MAX: 898.36MIN: 689.36 / MAX: 1207.51MIN: 524.48 / MAX: 829.64MIN: 687.68 / MAX: 1200.87MIN: 644.06 / MAX: 1489.95MIN: 483.27 / MAX: 784.91MIN: 671.87 / MAX: 1406.03MIN: 365.77 / MAX: 674.59MIN: 539.13 / MAX: 873.36MIN: 646.27 / MAX: 1067.76MIN: 616.84 / MAX: 1260.071. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000Min: 1116.14 / Avg: 1116.83 / Max: 1117.68Min: 888.17 / Avg: 892.42 / Max: 895.56Min: 495.72 / Avg: 496.11 / Max: 496.87Min: 711 / Avg: 712.26 / Max: 713.24Min: 938.86 / Avg: 939.9 / Max: 940.47Min: 667.49 / Avg: 671.07 / Max: 673.75Min: 935.96 / Avg: 937.73 / Max: 939.19Min: 1153.84 / Avg: 1158.08 / Max: 1163.42Min: 622.12 / Avg: 624.79 / Max: 627.09Min: 1091.59 / Avg: 1095.4 / Max: 1099.4Min: 473.15 / Avg: 473.82 / Max: 474.25Min: 697.03 / Avg: 698.08 / Max: 699.47Min: 837.5 / Avg: 839.06 / Max: 841.47Min: 977.12 / Avg: 983.61 / Max: 988.981. (CC) gcc options: -pthread

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200SE +/- 0.28, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.38, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.56, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.31, N = 3179.72146.29109.55114.49152.78129.77152.15190.19107.25178.7094.36116.68135.69185.31MIN: 121.84 / MAX: 276.81MIN: 94.75 / MAX: 256.37MIN: 70.77 / MAX: 249.84MIN: 72.02 / MAX: 259.87MIN: 98.52 / MAX: 278.09MIN: 84.35 / MAX: 268.95MIN: 97.46 / MAX: 272.72MIN: 126.93 / MAX: 307.7MIN: 67.93 / MAX: 243.83MIN: 121.07 / MAX: 277.42MIN: 60.14 / MAX: 225.56MIN: 74.3 / MAX: 261.93MIN: 85.88 / MAX: 272.31MIN: 125.96 / MAX: 294.641. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.8.1Video Input: Chimera 1080p 10-bitEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 179.44 / Avg: 179.72 / Max: 180.27Min: 146.03 / Avg: 146.29 / Max: 146.46Min: 109.41 / Avg: 109.55 / Max: 109.8Min: 113.88 / Avg: 114.49 / Max: 115.2Min: 152.47 / Avg: 152.78 / Max: 153.01Min: 129.43 / Avg: 129.77 / Max: 129.97Min: 152.02 / Avg: 152.15 / Max: 152.28Min: 189.1 / Avg: 190.19 / Max: 190.97Min: 106.92 / Avg: 107.25 / Max: 107.46Min: 178.47 / Avg: 178.7 / Max: 178.84Min: 94.18 / Avg: 94.36 / Max: 94.61Min: 116.54 / Avg: 116.68 / Max: 116.86Min: 135.36 / Avg: 135.69 / Max: 136.06Min: 184.71 / Avg: 185.31 / Max: 185.731. (CC) gcc options: -pthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.34, N = 5SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 332.3132.3535.4832.0333.5135.5632.8632.5431.6332.6031.0832.6232.9932.781. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 32.25 / Avg: 32.31 / Max: 32.36Min: 32.3 / Avg: 32.35 / Max: 32.38Min: 35.37 / Avg: 35.48 / Max: 35.54Min: 31.98 / Avg: 32.03 / Max: 32.11Min: 33.4 / Avg: 33.51 / Max: 33.6Min: 35.51 / Avg: 35.56 / Max: 35.62Min: 31.51 / Avg: 32.86 / Max: 33.21Min: 32.54 / Avg: 32.54 / Max: 32.55Min: 31.58 / Avg: 31.63 / Max: 31.69Min: 32.57 / Avg: 32.6 / Max: 32.62Min: 31.04 / Avg: 31.08 / Max: 31.13Min: 32.42 / Avg: 32.62 / Max: 32.79Min: 32.85 / Avg: 32.99 / Max: 33.06Min: 32.72 / Avg: 32.78 / Max: 32.821. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 319.4819.5120.2218.9220.1921.7619.9719.5917.8319.6317.3019.1119.8819.841. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 19.45 / Avg: 19.48 / Max: 19.52Min: 19.46 / Avg: 19.51 / Max: 19.57Min: 20.16 / Avg: 20.22 / Max: 20.28Min: 18.8 / Avg: 18.92 / Max: 19.03Min: 20.17 / Avg: 20.19 / Max: 20.22Min: 21.73 / Avg: 21.76 / Max: 21.79Min: 19.9 / Avg: 19.97 / Max: 20.03Min: 19.58 / Avg: 19.59 / Max: 19.6Min: 17.77 / Avg: 17.83 / Max: 17.92Min: 19.61 / Avg: 19.63 / Max: 19.66Min: 17.21 / Avg: 17.3 / Max: 17.37Min: 18.83 / Avg: 19.11 / Max: 19.38Min: 19.75 / Avg: 19.88 / Max: 19.97Min: 19.82 / Avg: 19.84 / Max: 19.861. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.87751.7552.63253.514.3875SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.333.373.733.233.483.903.423.363.193.373.083.363.423.381. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 3.32 / Avg: 3.33 / Max: 3.35Min: 3.36 / Avg: 3.37 / Max: 3.37Min: 3.73 / Avg: 3.73 / Max: 3.74Min: 3.21 / Avg: 3.23 / Max: 3.27Min: 3.48 / Avg: 3.48 / Max: 3.48Min: 3.89 / Avg: 3.9 / Max: 3.91Min: 3.41 / Avg: 3.42 / Max: 3.43Min: 3.36 / Avg: 3.36 / Max: 3.36Min: 3.18 / Avg: 3.19 / Max: 3.21Min: 3.37 / Avg: 3.37 / Max: 3.38Min: 3.07 / Avg: 3.08 / Max: 3.1Min: 3.33 / Avg: 3.36 / Max: 3.37Min: 3.42 / Avg: 3.42 / Max: 3.43Min: 3.38 / Avg: 3.38 / Max: 3.391. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.56481.12961.69442.25922.824SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.122.152.382.082.222.512.202.162.052.161.982.142.192.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 2.12 / Avg: 2.12 / Max: 2.13Min: 2.14 / Avg: 2.15 / Max: 2.15Min: 2.37 / Avg: 2.38 / Max: 2.39Min: 2.07 / Avg: 2.08 / Max: 2.09Min: 2.21 / Avg: 2.22 / Max: 2.23Min: 2.5 / Avg: 2.51 / Max: 2.51Min: 2.2 / Avg: 2.2 / Max: 2.2Min: 2.15 / Avg: 2.16 / Max: 2.16Min: 2.04 / Avg: 2.05 / Max: 2.06Min: 2.15 / Avg: 2.16 / Max: 2.16Min: 1.97 / Avg: 1.98 / Max: 1.98Min: 2.14 / Avg: 2.14 / Max: 2.15Min: 2.19 / Avg: 2.19 / Max: 2.19Min: 2.17 / Avg: 2.17 / Max: 2.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 315.9413.655.738.6114.9410.6613.9716.446.4915.504.729.1511.2214.941. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620Min: 15.92 / Avg: 15.94 / Max: 15.97Min: 13.61 / Avg: 13.65 / Max: 13.67Min: 5.71 / Avg: 5.73 / Max: 5.74Min: 8.58 / Avg: 8.61 / Max: 8.63Min: 14.93 / Avg: 14.94 / Max: 14.95Min: 10.64 / Avg: 10.66 / Max: 10.69Min: 13.95 / Avg: 13.97 / Max: 13.98Min: 16.42 / Avg: 16.44 / Max: 16.48Min: 6.48 / Avg: 6.49 / Max: 6.49Min: 15.49 / Avg: 15.5 / Max: 15.51Min: 4.72 / Avg: 4.72 / Max: 4.73Min: 9.13 / Avg: 9.15 / Max: 9.17Min: 11.18 / Avg: 11.22 / Max: 11.24Min: 14.93 / Avg: 14.94 / Max: 14.971. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645SE +/- 0.03, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 337.3932.7215.5621.7035.0626.3133.2539.1517.8335.8112.9822.9426.6136.071. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 37.31 / Avg: 37.39 / Max: 37.44Min: 32.69 / Avg: 32.72 / Max: 32.73Min: 15.54 / Avg: 15.56 / Max: 15.61Min: 21.66 / Avg: 21.7 / Max: 21.75Min: 35.04 / Avg: 35.06 / Max: 35.09Min: 26.29 / Avg: 26.31 / Max: 26.33Min: 33.24 / Avg: 33.25 / Max: 33.26Min: 39.12 / Avg: 39.15 / Max: 39.19Min: 17.82 / Avg: 17.83 / Max: 17.84Min: 35.77 / Avg: 35.81 / Max: 35.84Min: 12.97 / Avg: 12.98 / Max: 12.99Min: 22.92 / Avg: 22.94 / Max: 22.97Min: 26.56 / Avg: 26.61 / Max: 26.7Min: 36 / Avg: 36.07 / Max: 36.111. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

rav1e

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

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.7671.5342.3013.0683.835SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.010, N = 3SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.017, N = 3SE +/- 0.005, N = 3SE +/- 0.009, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.009, N = 32.8942.9373.4092.8383.0043.3652.9292.9262.8612.9292.8222.9262.9672.970
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 10EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 2.88 / Avg: 2.89 / Max: 2.9Min: 2.93 / Avg: 2.94 / Max: 2.94Min: 3.39 / Avg: 3.41 / Max: 3.42Min: 2.82 / Avg: 2.84 / Max: 2.85Min: 2.99 / Avg: 3 / Max: 3.02Min: 3.35 / Avg: 3.36 / Max: 3.4Min: 2.92 / Avg: 2.93 / Max: 2.94Min: 2.91 / Avg: 2.93 / Max: 2.94Min: 2.85 / Avg: 2.86 / Max: 2.87Min: 2.92 / Avg: 2.93 / Max: 2.94Min: 2.81 / Avg: 2.82 / Max: 2.83Min: 2.92 / Avg: 2.93 / Max: 2.94Min: 2.96 / Avg: 2.97 / Max: 2.97Min: 2.95 / Avg: 2.97 / Max: 2.98

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.34990.69981.04971.39961.7495SE +/- 0.003, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.3201.3361.5551.2931.3681.5421.3381.3331.2961.3311.2891.3291.3511.342
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 6EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 1.32 / Avg: 1.32 / Max: 1.32Min: 1.34 / Avg: 1.34 / Max: 1.34Min: 1.55 / Avg: 1.55 / Max: 1.56Min: 1.29 / Avg: 1.29 / Max: 1.3Min: 1.36 / Avg: 1.37 / Max: 1.37Min: 1.54 / Avg: 1.54 / Max: 1.54Min: 1.33 / Avg: 1.34 / Max: 1.34Min: 1.33 / Avg: 1.33 / Max: 1.34Min: 1.29 / Avg: 1.3 / Max: 1.3Min: 1.33 / Avg: 1.33 / Max: 1.33Min: 1.29 / Avg: 1.29 / Max: 1.29Min: 1.33 / Avg: 1.33 / Max: 1.33Min: 1.35 / Avg: 1.35 / Max: 1.35Min: 1.34 / Avg: 1.34 / Max: 1.34

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.26190.52380.78571.04761.3095SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.9890.9991.1640.9691.0241.1561.0060.9930.9720.9920.9650.9971.0091.005
OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4Speed: 5EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.99 / Avg: 0.99 / Max: 0.99Min: 1 / Avg: 1 / Max: 1Min: 1.16 / Avg: 1.16 / Max: 1.17Min: 0.97 / Avg: 0.97 / Max: 0.97Min: 1.02 / Avg: 1.02 / Max: 1.03Min: 1.15 / Avg: 1.16 / Max: 1.16Min: 1 / Avg: 1.01 / Max: 1.01Min: 0.99 / Avg: 0.99 / Max: 0.99Min: 0.97 / Avg: 0.97 / Max: 0.97Min: 0.99 / Avg: 0.99 / Max: 1Min: 0.96 / Avg: 0.96 / Max: 0.97Min: 0.99 / Avg: 1 / Max: 1Min: 1.01 / Avg: 1.01 / Max: 1.01Min: 1 / Avg: 1.01 / Max: 1.01

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021326395265SE +/- 0.16, N = 5SE +/- 0.03, N = 5SE +/- 0.04, N = 3SE +/- 0.03, N = 4SE +/- 0.05, N = 5SE +/- 0.02, N = 4SE +/- 0.05, N = 5SE +/- 0.44, N = 5SE +/- 0.05, N = 3SE +/- 0.48, N = 5SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.54, N = 559.5954.0727.1639.6556.9847.1754.9258.6431.3955.9923.1141.5248.3353.521. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021224364860Min: 59.13 / Avg: 59.59 / Max: 59.95Min: 54 / Avg: 54.07 / Max: 54.14Min: 27.11 / Avg: 27.16 / Max: 27.23Min: 39.58 / Avg: 39.65 / Max: 39.69Min: 56.85 / Avg: 56.98 / Max: 57.12Min: 47.11 / Avg: 47.17 / Max: 47.21Min: 54.78 / Avg: 54.92 / Max: 55.03Min: 57.87 / Avg: 58.64 / Max: 60.27Min: 31.34 / Avg: 31.39 / Max: 31.49Min: 55.17 / Avg: 55.99 / Max: 57.85Min: 23.08 / Avg: 23.11 / Max: 23.14Min: 41.47 / Avg: 41.52 / Max: 41.57Min: 48.24 / Avg: 48.33 / Max: 48.45Min: 52.03 / Avg: 53.52 / Max: 54.91. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.16, N = 5SE +/- 0.17, N = 6SE +/- 0.03, N = 4SE +/- 0.09, N = 5SE +/- 0.18, N = 6SE +/- 0.21, N = 5SE +/- 0.25, N = 6SE +/- 0.32, N = 5SE +/- 0.11, N = 4SE +/- 0.20, N = 5SE +/- 0.07, N = 4SE +/- 0.17, N = 5SE +/- 0.03, N = 6SE +/- 0.27, N = 563.2156.5326.1335.3859.9442.8457.3283.4030.3862.4021.7637.0454.8779.821. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021632486480Min: 62.71 / Avg: 63.21 / Max: 63.66Min: 56.08 / Avg: 56.53 / Max: 57.07Min: 26.07 / Avg: 26.13 / Max: 26.22Min: 35.07 / Avg: 35.38 / Max: 35.57Min: 59.31 / Avg: 59.94 / Max: 60.53Min: 42.28 / Avg: 42.84 / Max: 43.39Min: 56.32 / Avg: 57.32 / Max: 57.97Min: 82.2 / Avg: 83.4 / Max: 84.06Min: 30.14 / Avg: 30.38 / Max: 30.6Min: 61.9 / Avg: 62.4 / Max: 62.94Min: 21.59 / Avg: 21.76 / Max: 21.91Min: 36.48 / Avg: 37.04 / Max: 37.5Min: 54.76 / Avg: 54.87 / Max: 54.97Min: 79.13 / Avg: 79.82 / Max: 80.51. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.039, N = 4SE +/- 0.048, N = 4SE +/- 0.023, N = 3SE +/- 0.006, N = 3SE +/- 0.032, N = 4SE +/- 0.035, N = 4SE +/- 0.032, N = 3SE +/- 0.060, N = 3SE +/- 0.008, N = 3SE +/- 0.012, N = 3SE +/- 0.008, N = 3SE +/- 0.017, N = 3SE +/- 0.043, N = 3SE +/- 0.003, N = 36.6785.9583.1844.2256.0915.3335.8666.9663.5936.4942.5364.5065.5636.7521. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 6.57 / Avg: 6.68 / Max: 6.75Min: 5.88 / Avg: 5.96 / Max: 6.09Min: 3.14 / Avg: 3.18 / Max: 3.21Min: 4.22 / Avg: 4.23 / Max: 4.24Min: 6.04 / Avg: 6.09 / Max: 6.18Min: 5.23 / Avg: 5.33 / Max: 5.39Min: 5.8 / Avg: 5.87 / Max: 5.91Min: 6.88 / Avg: 6.97 / Max: 7.08Min: 3.58 / Avg: 3.59 / Max: 3.61Min: 6.47 / Avg: 6.49 / Max: 6.51Min: 2.52 / Avg: 2.54 / Max: 2.55Min: 4.47 / Avg: 4.51 / Max: 4.53Min: 5.48 / Avg: 5.56 / Max: 5.61Min: 6.75 / Avg: 6.75 / Max: 6.761. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280160240320400SE +/- 6.69, N = 15SE +/- 5.85, N = 15SE +/- 0.53, N = 7SE +/- 1.82, N = 15SE +/- 6.75, N = 15SE +/- 2.97, N = 15SE +/- 5.89, N = 15SE +/- 5.77, N = 15SE +/- 1.04, N = 9SE +/- 6.16, N = 15SE +/- 0.51, N = 7SE +/- 2.50, N = 15SE +/- 5.48, N = 15SE +/- 4.45, N = 15346.63325.84124.35229.82350.63230.31334.18332.56184.83336.24107.11242.24319.05305.101. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300Min: 253.27 / Avg: 346.63 / Max: 357.36Min: 244.6 / Avg: 325.84 / Max: 336.51Min: 121.26 / Avg: 124.35 / Max: 125.39Min: 204.43 / Avg: 229.82 / Max: 232.47Min: 256.63 / Avg: 350.63 / Max: 362.54Min: 188.8 / Avg: 230.31 / Max: 234.56Min: 252.42 / Avg: 334.18 / Max: 348.23Min: 253.16 / Avg: 332.56 / Max: 350.88Min: 176.68 / Avg: 184.83 / Max: 187.03Min: 250.31 / Avg: 336.24 / Max: 345.82Min: 104.11 / Avg: 107.11 / Max: 107.86Min: 207.33 / Avg: 242.24 / Max: 245.7Min: 242.72 / Avg: 319.05 / Max: 326.26Min: 248.76 / Avg: 305.1 / Max: 317.631. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702100200300400500SE +/- 0.61, N = 10SE +/- 1.03, N = 11SE +/- 0.26, N = 8SE +/- 0.35, N = 10SE +/- 0.74, N = 11SE +/- 0.36, N = 10SE +/- 0.76, N = 11SE +/- 0.96, N = 10SE +/- 0.45, N = 9SE +/- 0.97, N = 10SE +/- 0.15, N = 8SE +/- 0.29, N = 10SE +/- 0.86, N = 11SE +/- 3.60, N = 15458.24426.52167.08295.80459.14263.13437.88448.08239.47445.92144.32316.49413.09409.361. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280160240320400Min: 456.27 / Avg: 458.24 / Max: 462.61Min: 419.29 / Avg: 426.52 / Max: 430.73Min: 165.84 / Avg: 167.08 / Max: 168.07Min: 293.54 / Avg: 295.8 / Max: 297.47Min: 454.55 / Avg: 459.14 / Max: 462.25Min: 260.87 / Avg: 263.13 / Max: 264.67Min: 434.47 / Avg: 437.88 / Max: 443.13Min: 442.15 / Avg: 448.08 / Max: 452.83Min: 237.06 / Avg: 239.47 / Max: 241.16Min: 441.83 / Avg: 445.92 / Max: 451.13Min: 143.85 / Avg: 144.32 / Max: 145.1Min: 315.62 / Avg: 316.49 / Max: 317.97Min: 407.89 / Avg: 413.09 / Max: 416.67Min: 379.51 / Avg: 409.36 / Max: 426.741. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250SE +/- 1.24, N = 15SE +/- 0.75, N = 9SE +/- 0.33, N = 7SE +/- 0.71, N = 8SE +/- 0.83, N = 9SE +/- 0.76, N = 9SE +/- 1.00, N = 9SE +/- 1.83, N = 15SE +/- 0.60, N = 7SE +/- 1.18, N = 15SE +/- 0.37, N = 6SE +/- 0.59, N = 8SE +/- 0.75, N = 9SE +/- 1.78, N = 15203.74181.1595.50142.37188.45173.50182.42210.69117.14198.0078.21150.45174.63198.581. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200Min: 187.17 / Avg: 203.74 / Max: 207.43Min: 175.43 / Avg: 181.15 / Max: 183.15Min: 94.18 / Avg: 95.5 / Max: 96.44Min: 137.77 / Avg: 142.37 / Max: 143.62Min: 183.08 / Avg: 188.45 / Max: 190.79Min: 167.66 / Avg: 173.5 / Max: 175.1Min: 175.43 / Avg: 182.42 / Max: 186.12Min: 187.36 / Avg: 210.69 / Max: 218.31Min: 113.91 / Avg: 117.14 / Max: 119.03Min: 182.68 / Avg: 198 / Max: 201.65Min: 76.63 / Avg: 78.21 / Max: 79.16Min: 146.52 / Avg: 150.45 / Max: 151.9Min: 169.05 / Avg: 174.63 / Max: 176.72Min: 179.11 / Avg: 198.58 / Max: 206.011. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 4SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 325.2323.7110.2020.0325.2120.0025.1325.6517.0925.369.2020.4423.8425.041. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430Min: 25.14 / Avg: 25.23 / Max: 25.39Min: 23.64 / Avg: 23.71 / Max: 23.81Min: 9.85 / Avg: 10.2 / Max: 10.45Min: 19.97 / Avg: 20.03 / Max: 20.1Min: 25.09 / Avg: 25.21 / Max: 25.34Min: 19.78 / Avg: 20 / Max: 20.2Min: 25.08 / Avg: 25.13 / Max: 25.16Min: 25.41 / Avg: 25.65 / Max: 26.06Min: 16.96 / Avg: 17.09 / Max: 17.21Min: 25.3 / Avg: 25.36 / Max: 25.48Min: 9.07 / Avg: 9.2 / Max: 9.37Min: 20.34 / Avg: 20.44 / Max: 20.61Min: 23.72 / Avg: 23.84 / Max: 23.98Min: 24.94 / Avg: 25.04 / Max: 25.191. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

simdjson

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

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

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.520.510.620.500.530.610.520.520.500.520.500.520.530.521. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.51 / Avg: 0.52 / Max: 0.52Min: 0.51 / Avg: 0.51 / Max: 0.52Min: 0.62 / Avg: 0.62 / Max: 0.62Min: 0.49 / Avg: 0.5 / Max: 0.51Min: 0.52 / Avg: 0.53 / Max: 0.54Min: 0.61 / Avg: 0.61 / Max: 0.62Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.51 / Avg: 0.52 / Max: 0.52Min: 0.49 / Avg: 0.5 / Max: 0.51Min: 0.51 / Avg: 0.52 / Max: 0.52Min: 0.49 / Avg: 0.5 / Max: 0.51Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.52 / Avg: 0.53 / Max: 0.53Min: 0.52 / Avg: 0.52 / Max: 0.531. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.08550.1710.25650.3420.4275SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.320.320.380.320.330.380.330.320.320.320.310.330.330.331. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770212345Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.38 / Avg: 0.38 / Max: 0.39Min: 0.31 / Avg: 0.32 / Max: 0.32Min: 0.33 / Avg: 0.33 / Max: 0.34Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.31 / Avg: 0.32 / Max: 0.32Min: 0.32 / Avg: 0.32 / Max: 0.33Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.32 / Avg: 0.33 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.33 / Avg: 0.33 / Max: 0.331. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.11930.23860.35790.47720.5965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.450.450.530.440.460.530.460.450.440.450.440.450.460.461. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.44 / Avg: 0.44 / Max: 0.44Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.44 / Avg: 0.44 / Max: 0.44Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.43 / Avg: 0.44 / Max: 0.44Min: 0.45 / Avg: 0.45 / Max: 0.45Min: 0.46 / Avg: 0.46 / Max: 0.46Min: 0.46 / Avg: 0.46 / Max: 0.461. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.14180.28360.42540.56720.709SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.520.520.630.510.540.620.530.530.510.520.520.530.530.541. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.62 / Avg: 0.63 / Max: 0.63Min: 0.51 / Avg: 0.51 / Max: 0.52Min: 0.54 / Avg: 0.54 / Max: 0.55Min: 0.61 / Avg: 0.62 / Max: 0.63Min: 0.53 / Avg: 0.53 / Max: 0.54Min: 0.52 / Avg: 0.53 / Max: 0.53Min: 0.51 / Avg: 0.51 / Max: 0.52Min: 0.52 / Avg: 0.52 / Max: 0.53Min: 0.51 / Avg: 0.52 / Max: 0.52Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.53 / Avg: 0.53 / Max: 0.54Min: 0.53 / Avg: 0.54 / Max: 0.541. (CXX) g++ options: -O3 -pthread

ACES DGEMM

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.02480.04960.07440.09920.1240.080.060.030.050.070.030.070.110.050.100.020.050.060.11

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.03150.0630.09450.1260.15750.100.100.110.100.120.050.110.090.110.100.110.140.120.09

ACES DGEMM

This is a multi-threaded DGEMM benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.030087, N = 3SE +/- 0.072162, N = 3SE +/- 0.039059, N = 3SE +/- 0.037637, N = 3SE +/- 0.091101, N = 3SE +/- 0.028662, N = 3SE +/- 0.066319, N = 3SE +/- 0.099835, N = 4SE +/- 0.008716, N = 3SE +/- 0.083534, N = 3SE +/- 0.010754, N = 3SE +/- 0.017716, N = 3SE +/- 0.025438, N = 3SE +/- 0.163720, N = 413.9424659.8288713.0115954.4524198.8633364.8976539.32690916.8811683.46400312.7350311.5837044.9637157.20823515.6148121. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620Min: 13.91 / Avg: 13.94 / Max: 14Min: 9.75 / Avg: 9.83 / Max: 9.97Min: 2.95 / Avg: 3.01 / Max: 3.08Min: 4.39 / Avg: 4.45 / Max: 4.52Min: 8.68 / Avg: 8.86 / Max: 8.96Min: 4.85 / Avg: 4.9 / Max: 4.95Min: 9.25 / Avg: 9.33 / Max: 9.46Min: 16.59 / Avg: 16.88 / Max: 17.02Min: 3.45 / Avg: 3.46 / Max: 3.48Min: 12.62 / Avg: 12.74 / Max: 12.9Min: 1.57 / Avg: 1.58 / Max: 1.61Min: 4.93 / Avg: 4.96 / Max: 4.99Min: 7.16 / Avg: 7.21 / Max: 7.24Min: 15.39 / Avg: 15.61 / Max: 16.11. (CC) gcc options: -O3 -march=native -fopenmp

High Performance Conjugate Gradient

HPCG is the High Performance Conjugate Gradient and is a new scientific benchmark from Sandia National Lans focused for super-computer testing with modern real-world workloads compared to HPCC. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.00479, N = 3SE +/- 0.00249, N = 3SE +/- 0.06375, N = 3SE +/- 0.00263, N = 3SE +/- 0.00275, N = 3SE +/- 0.05299, N = 11SE +/- 0.00324, N = 3SE +/- 0.00378, N = 3SE +/- 0.00448, N = 3SE +/- 0.00667, N = 3SE +/- 0.00542, N = 3SE +/- 0.07483, N = 3SE +/- 0.01008, N = 3SE +/- 0.03096, N = 317.6850017.9677012.956009.0515415.279407.0892515.2920017.386309.0974316.649408.6466115.6329015.5629017.307501. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 17.68 / Avg: 17.69 / Max: 17.69Min: 17.96 / Avg: 17.97 / Max: 17.97Min: 12.86 / Avg: 12.96 / Max: 13.08Min: 9.05 / Avg: 9.05 / Max: 9.05Min: 15.28 / Avg: 15.28 / Max: 15.28Min: 6.64 / Avg: 7.09 / Max: 7.27Min: 15.29 / Avg: 15.29 / Max: 15.3Min: 17.38 / Avg: 17.39 / Max: 17.39Min: 9.09 / Avg: 9.1 / Max: 9.1Min: 16.64 / Avg: 16.65 / Max: 16.66Min: 8.64 / Avg: 8.65 / Max: 8.66Min: 15.51 / Avg: 15.63 / Max: 15.77Min: 15.55 / Avg: 15.56 / Max: 15.58Min: 17.25 / Avg: 17.31 / Max: 17.341. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

Intel Open Image Denoise

Open Image Denoise is a denoising library for ray-tracing and part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835SE +/- 0.01, N = 5SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 5SE +/- 0.02, N = 4SE +/- 0.01, N = 5SE +/- 0.04, N = 6SE +/- 0.00, N = 3SE +/- 0.02, N = 6SE +/- 0.00, N = 3SE +/- 0.12, N = 6SE +/- 0.01, N = 4SE +/- 0.03, N = 620.147.9411.3421.5514.2420.2529.419.0326.136.5512.1817.1727.67
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835Min: 20.11 / Avg: 20.14 / Max: 20.18Min: 7.92 / Avg: 7.94 / Max: 7.96Min: 11.34 / Avg: 11.34 / Max: 11.36Min: 21.52 / Avg: 21.55 / Max: 21.6Min: 14.2 / Avg: 14.24 / Max: 14.27Min: 20.23 / Avg: 20.25 / Max: 20.28Min: 29.29 / Avg: 29.41 / Max: 29.54Min: 9.02 / Avg: 9.03 / Max: 9.03Min: 26.05 / Avg: 26.13 / Max: 26.17Min: 6.54 / Avg: 6.55 / Max: 6.55Min: 11.56 / Avg: 12.18 / Max: 12.32Min: 17.16 / Avg: 17.17 / Max: 17.19Min: 27.55 / Avg: 27.67 / Max: 27.73

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 1.01, N = 3SE +/- 0.17, N = 3SE +/- 1.00, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.88, N = 3SE +/- 0.93, N = 3SE +/- 0.29, N = 3SE +/- 0.50, N = 3SE +/- 0.60, N = 3SE +/- 0.29, N = 3SE +/- 0.17, N = 3SE +/- 1.30, N = 32632712622672852482772432592642432772802401. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: yolov4 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 261 / Avg: 262.83 / Max: 264.5Min: 270.5 / Avg: 270.67 / Max: 271Min: 260 / Avg: 262 / Max: 263Min: 266.5 / Avg: 267.17 / Max: 267.5Min: 284.5 / Avg: 285.17 / Max: 286.5Min: 275.5 / Avg: 276.83 / Max: 278.5Min: 242 / Avg: 243.17 / Max: 245Min: 258.5 / Avg: 259 / Max: 259.5Min: 263 / Avg: 263.5 / Max: 264.5Min: 242.5 / Avg: 243.33 / Max: 244.5Min: 276.5 / Avg: 277 / Max: 277.5Min: 279.5 / Avg: 279.67 / Max: 280Min: 238 / Avg: 240.33 / Max: 242.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.17, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.29, N = 3SE +/- 0.58, N = 3SE +/- 0.60, N = 3SE +/- 0.53, N = 12SE +/- 0.33, N = 3SE +/- 0.17, N = 3SE +/- 1.04, N = 3SE +/- 0.00, N = 3SE +/- 0.67, N = 3SE +/- 0.29, N = 3SE +/- 0.44, N = 380795977696964797079596972741. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: fcn-resnet101-11 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021530456075Min: 80 / Avg: 80.17 / Max: 80.5Min: 78.5 / Avg: 79.17 / Max: 80.5Min: 58 / Avg: 59.33 / Max: 60Min: 76.5 / Avg: 77 / Max: 77.5Min: 68 / Avg: 69 / Max: 70Min: 68 / Avg: 69.17 / Max: 70Min: 61 / Avg: 64 / Max: 67.5Min: 78.5 / Avg: 79.17 / Max: 79.5Min: 69.5 / Avg: 69.83 / Max: 70Min: 77 / Avg: 79 / Max: 80.5Min: 58.5 / Avg: 58.5 / Max: 58.5Min: 68 / Avg: 69.33 / Max: 70Min: 71 / Avg: 71.5 / Max: 72Min: 73.5 / Avg: 74.33 / Max: 751. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 73.86, N = 12SE +/- 105.59, N = 12SE +/- 45.76, N = 3SE +/- 45.05, N = 3SE +/- 29.60, N = 3SE +/- 112.30, N = 4SE +/- 63.96, N = 12SE +/- 46.88, N = 3SE +/- 2.92, N = 3SE +/- 70.17, N = 12SE +/- 15.37, N = 3SE +/- 1.83, N = 3SE +/- 18.32, N = 3SE +/- 53.19, N = 12722180709823861186989348842166868721737388368975881064781. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: shufflenet-v2-10 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KMin: 6810.5 / Avg: 7220.58 / Max: 7710.5Min: 7492 / Avg: 8070 / Max: 8524Min: 9743 / Avg: 9822.67 / Max: 9901.5Min: 8522 / Avg: 8611.17 / Max: 8667Min: 8644 / Avg: 8698 / Max: 8746Min: 9037.5 / Avg: 9348.13 / Max: 9565.5Min: 7942 / Avg: 8421.42 / Max: 8675.5Min: 6618 / Avg: 6686.17 / Max: 6776Min: 8717.5 / Avg: 8720.67 / Max: 8726.5Min: 6932 / Avg: 7373.04 / Max: 7736Min: 8814.5 / Avg: 8836.33 / Max: 8866Min: 8973 / Avg: 8974.83 / Max: 8978.5Min: 8780.5 / Avg: 8809.83 / Max: 8843.5Min: 6037.5 / Avg: 6477.5 / Max: 68041. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770211002200330044005500SE +/- 52.31, N = 12SE +/- 35.49, N = 11SE +/- 5.63, N = 3SE +/- 24.57, N = 3SE +/- 67.46, N = 11SE +/- 88.35, N = 12SE +/- 62.74, N = 3SE +/- 95.52, N = 12SE +/- 16.48, N = 3SE +/- 27.98, N = 3SE +/- 3.69, N = 3SE +/- 73.62, N = 12SE +/- 71.97, N = 12SE +/- 84.35, N = 9450648644518404449865212475541753943464239414522494640871. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: super-resolution-10 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500Min: 4219.5 / Avg: 4506.42 / Max: 4722Min: 4539 / Avg: 4864.36 / Max: 4940.5Min: 4508 / Avg: 4517.67 / Max: 4527.5Min: 3996 / Avg: 4043.83 / Max: 4077.5Min: 4318 / Avg: 4986.05 / Max: 5084Min: 4665 / Avg: 5211.92 / Max: 5596Min: 4633.5 / Avg: 4754.67 / Max: 4843.5Min: 3788 / Avg: 4174.71 / Max: 4608.5Min: 3922 / Avg: 3943 / Max: 3975.5Min: 4586 / Avg: 4641.67 / Max: 4674.5Min: 3934 / Avg: 3941 / Max: 3946.5Min: 4171 / Avg: 4521.92 / Max: 5107Min: 4494.5 / Avg: 4946.25 / Max: 5164.5Min: 3791.5 / Avg: 4086.5 / Max: 44351. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702110220330440550SE +/- 3.97, N = 3SE +/- 0.44, N = 3SE +/- 0.50, N = 3SE +/- 0.29, N = 3SE +/- 1.15, N = 3SE +/- 6.13, N = 12SE +/- 4.69, N = 12SE +/- 6.16, N = 12SE +/- 1.26, N = 3SE +/- 0.60, N = 3SE +/- 0.50, N = 3SE +/- 5.01, N = 3SE +/- 4.15, N = 9SE +/- 7.16, N = 124314664804004753724593954034404094565003901. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.6Model: bertsquad-10 - Device: OpenMP CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770290180270360450Min: 424.5 / Avg: 430.5 / Max: 438Min: 465.5 / Avg: 466.33 / Max: 467Min: 479.5 / Avg: 480 / Max: 481Min: 399.5 / Avg: 400 / Max: 400.5Min: 472.5 / Avg: 474.5 / Max: 476.5Min: 329.5 / Avg: 371.92 / Max: 403.5Min: 425.5 / Avg: 459.13 / Max: 469.5Min: 343.5 / Avg: 395 / Max: 412.5Min: 401.5 / Avg: 403 / Max: 405.5Min: 439.5 / Avg: 440.33 / Max: 441.5Min: 408 / Avg: 409 / Max: 409.5Min: 450.5 / Avg: 456 / Max: 466Min: 468 / Avg: 500.22 / Max: 507Min: 335.5 / Avg: 389.54 / Max: 410.51. (CXX) g++ options: -fopenmp -ffunction-sections -fdata-sections -O3 -ldl -lrt

OpenVKL

OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.07782.15563.23344.31125.3893.241.352.824.321.804.134.792.164.721.602.503.374.55

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702110220330440550SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 1.00, N = 3SE +/- 0.67, N = 3SE +/- 1.15, N = 3SE +/- 1.86, N = 332811618635922233750414244196192279492MIN: 1 / MAX: 1145MIN: 1 / MAX: 413MIN: 1 / MAX: 658MIN: 1 / MAX: 1250MIN: 1 / MAX: 779MIN: 1 / MAX: 1172MIN: 1 / MAX: 1715MIN: 1 / MAX: 507MIN: 1 / MAX: 1539MIN: 1 / MAX: 343MIN: 1 / MAX: 672MIN: 1 / MAX: 983MIN: 1 / MAX: 1688
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770290180270360450Min: 327 / Avg: 328 / Max: 329Min: 358 / Avg: 359 / Max: 360Min: 502 / Avg: 504 / Max: 505Min: 440 / Avg: 441.33 / Max: 442Min: 277 / Avg: 279 / Max: 281Min: 488 / Avg: 491.67 / Max: 494

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702100200300400500SE +/- 0.00, N = 3SE +/- 0.64, N = 3SE +/- 1.74, N = 3SE +/- 2.18, N = 3SE +/- 1.71, N = 3SE +/- 0.57, N = 3SE +/- 1.71, N = 3SE +/- 1.71, N = 3SE +/- 2.09, N = 3SE +/- 0.98, N = 3SE +/- 1.09, N = 3SE +/- 0.62, N = 3SE +/- 3.44, N = 3SE +/- 2.16, N = 3432.90439.24380.73378.81439.25140.92439.25439.25370.39411.53351.71432.28432.33432.921. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280160240320400Min: 432.9 / Avg: 432.9 / Max: 432.9Min: 438.6 / Avg: 439.24 / Max: 440.53Min: 377.36 / Avg: 380.73 / Max: 383.14Min: 374.53 / Avg: 378.81 / Max: 381.68Min: 436.68 / Avg: 439.25 / Max: 442.48Min: 140.25 / Avg: 140.92 / Max: 142.05Min: 436.68 / Avg: 439.25 / Max: 442.48Min: 436.68 / Avg: 439.25 / Max: 442.48Min: 366.3 / Avg: 370.39 / Max: 373.13Min: 409.84 / Avg: 411.53 / Max: 413.22Min: 349.65 / Avg: 351.71 / Max: 353.36Min: 431.03 / Avg: 432.28 / Max: 432.9Min: 425.53 / Avg: 432.33 / Max: 436.68Min: 429.19 / Avg: 432.92 / Max: 436.681. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400K800K1200K1600K2000KSE +/- 707.15, N = 3SE +/- 818.34, N = 3SE +/- 538.09, N = 3SE +/- 1150.50, N = 3SE +/- 1470.27, N = 3SE +/- 609.31, N = 3SE +/- 473.83, N = 3SE +/- 270.65, N = 3SE +/- 10873.39, N = 3SE +/- 102.44, N = 3SE +/- 1815.81, N = 3SE +/- 1542.09, N = 3SE +/- 1046.01, N = 31123555.30356570.41586659.101203386.72716393.881147733.951867023.46440879.641530338.79293387.40603381.33902070.151845888.801. (CC) gcc options: -O2 -lrt" -lrt
OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702300K600K900K1200K1500KMin: 1122462.4 / Avg: 1123555.3 / Max: 1124879.16Min: 355244.72 / Avg: 356570.41 / Max: 358064.49Min: 585752.04 / Avg: 586659.1 / Max: 587614.19Min: 1201201.2 / Avg: 1203386.72 / Max: 1205102.86Min: 713469.52 / Avg: 716393.88 / Max: 718122.78Min: 1146516.78 / Avg: 1147733.95 / Max: 1148394.04Min: 1866161.25 / Avg: 1867023.46 / Max: 1867795.13Min: 440356.87 / Avg: 440879.64 / Max: 441262.65Min: 1517351.75 / Avg: 1530338.79 / Max: 1551938.41Min: 293258.49 / Avg: 293387.4 / Max: 293589.77Min: 599995.31 / Avg: 603381.33 / Max: 606211.3Min: 899666.14 / Avg: 902070.15 / Max: 904945.39Min: 1844712.66 / Avg: 1845888.8 / Max: 1847975.171. (CC) gcc options: -O2 -lrt" -lrt

Aircrack-ng

OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.5.2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000669.52551.30262.96473.01584.98275.97628.13819.37387.56725.65334.92426.14481.81798.57

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230K60K90K120K150KSE +/- 45.55, N = 3SE +/- 7.45, N = 3SE +/- 28.30, N = 3SE +/- 30.64, N = 3SE +/- 28.55, N = 3SE +/- 28.27, N = 3SE +/- 15.49, N = 3SE +/- 32.87, N = 3SE +/- 28.65, N = 3SE +/- 87.07, N = 3SE +/- 6.91, N = 3SE +/- 34.38, N = 3SE +/- 16.32, N = 3SE +/- 31.81, N = 3120520.6885303.3528528.3446017.2094237.6556973.8587391.79143292.7935086.95119683.6523406.4048284.8371372.79143169.121. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.5.2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KMin: 120433.36 / Avg: 120520.68 / Max: 120586.84Min: 85294.1 / Avg: 85303.35 / Max: 85318.1Min: 28484.88 / Avg: 28528.34 / Max: 28581.47Min: 45958.39 / Avg: 46017.2 / Max: 46061.5Min: 94189.9 / Avg: 94237.65 / Max: 94288.64Min: 56938.61 / Avg: 56973.85 / Max: 57029.76Min: 87370.61 / Avg: 87391.79 / Max: 87421.95Min: 143233.45 / Avg: 143292.79 / Max: 143346.95Min: 35057.87 / Avg: 35086.95 / Max: 35144.26Min: 119543.75 / Avg: 119683.65 / Max: 119843.41Min: 23398.23 / Avg: 23406.4 / Max: 23420.13Min: 48218.5 / Avg: 48284.83 / Max: 48333.69Min: 71350.26 / Avg: 71372.79 / Max: 71404.51Min: 143136.28 / Avg: 143169.12 / Max: 143232.731. (CXX) g++ options: -O3 -fvisibility=hidden -masm=intel -fcommon -rdynamic -lpthread -lz -lcrypto -lhwloc -ldl -lm -pthread

Cpuminer-Opt

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770236912157.805.882.724.957.252.997.539.953.888.883.244.467.079.94

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230060090012001500SE +/- 1.46, N = 3SE +/- 0.86, N = 3SE +/- 1.31, N = 3SE +/- 1.04, N = 3SE +/- 2.23, N = 3SE +/- 1.25, N = 3SE +/- 37.08, N = 15SE +/- 32.30, N = 15SE +/- 0.69, N = 3SE +/- 11.98, N = 15SE +/- 1.33, N = 3SE +/- 0.74, N = 3SE +/- 39.35, N = 15SE +/- 29.63, N = 141147.36807.02262.90429.51891.02524.31883.871398.77322.831139.38216.58447.01862.811360.061. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: x25xEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000Min: 1144.44 / Avg: 1147.36 / Max: 1148.92Min: 806.02 / Avg: 807.02 / Max: 808.73Min: 260.27 / Avg: 262.9 / Max: 264.3Min: 427.95 / Avg: 429.51 / Max: 431.48Min: 887.85 / Avg: 891.02 / Max: 895.31Min: 521.85 / Avg: 524.31 / Max: 525.94Min: 822.42 / Avg: 883.87 / Max: 1393.5Min: 1361.4 / Avg: 1398.77 / Max: 1850.16Min: 321.57 / Avg: 322.83 / Max: 323.96Min: 1114.29 / Avg: 1139.38 / Max: 1274.78Min: 214.04 / Avg: 216.58 / Max: 218.55Min: 445.61 / Avg: 447.01 / Max: 448.15Min: 675.58 / Avg: 862.81 / Max: 1074.46Min: 1313.18 / Avg: 1360.06 / Max: 1735.961. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 113.98, N = 14SE +/- 135.96, N = 15SE +/- 8.24, N = 3SE +/- 46.80, N = 15SE +/- 157.39, N = 15SE +/- 3.02, N = 3SE +/- 179.55, N = 12SE +/- 72.85, N = 13SE +/- 22.88, N = 15SE +/- 49.30, N = 3SE +/- 24.63, N = 15SE +/- 6.92, N = 3SE +/- 8.85, N = 3SE +/- 215.48, N = 147961.645725.791769.462991.736242.213522.446104.279507.952192.827811.991473.312965.294490.869581.061. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: GarlicoinEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770217003400510068008500Min: 7778.26 / Avg: 7961.64 / Max: 9440.93Min: 5501.12 / Avg: 5725.79 / Max: 7108.86Min: 1758.86 / Avg: 1769.46 / Max: 1785.69Min: 2871.77 / Avg: 2991.73 / Max: 3335.77Min: 5942.72 / Avg: 6242.21 / Max: 7690.85Min: 3516.78 / Avg: 3522.44 / Max: 3527.08Min: 5581 / Avg: 6104.27 / Max: 7538.77Min: 9387.02 / Avg: 9507.95 / Max: 10330Min: 2113.61 / Avg: 2192.82 / Max: 2419.18Min: 7760.8 / Avg: 7811.99 / Max: 7910.57Min: 1428.33 / Avg: 1473.31 / Max: 1776.69Min: 2956.9 / Avg: 2965.29 / Max: 2979.02Min: 4477.91 / Avg: 4490.86 / Max: 4507.79Min: 9331.1 / Avg: 9581.06 / Max: 123701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770210K20K30K40K50KSE +/- 1521.20, N = 15SE +/- 38.44, N = 3SE +/- 73.09, N = 6SE +/- 407.34, N = 15SE +/- 991.42, N = 15SE +/- 333.56, N = 15SE +/- 1900.37, N = 15SE +/- 1295.28, N = 15SE +/- 78.72, N = 3SE +/- 964.94, N = 15SE +/- 0.23, N = 3SE +/- 14.53, N = 3SE +/- 94.04, N = 3SE +/- 2134.76, N = 1534363.0023013.007644.1012793.0026493.0015338.0026546.0045051.009361.0633589.006207.8912697.0019363.0046113.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: DeepcoinEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77028K16K24K32K40KMin: 32480 / Avg: 34363.33 / Max: 55610Min: 22940 / Avg: 23013.33 / Max: 23070Min: 7535.18 / Avg: 7644.1 / Max: 7997.88Min: 12330 / Avg: 12793.33 / Max: 18480Min: 25310 / Avg: 26492.67 / Max: 40340Min: 14690 / Avg: 15338 / Max: 19990Min: 23580 / Avg: 26546 / Max: 44860Min: 42590 / Avg: 45050.67 / Max: 63100Min: 9269.8 / Avg: 9361.06 / Max: 9517.79Min: 32160 / Avg: 33588.67 / Max: 46960Min: 6207.47 / Avg: 6207.89 / Max: 6208.24Min: 12670 / Avg: 12696.67 / Max: 12720Min: 19250 / Avg: 19363.33 / Max: 19550Min: 42730 / Avg: 46112.67 / Max: 758101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702140K280K420K560K700KSE +/- 9107.04, N = 12SE +/- 2127.92, N = 3SE +/- 654.80, N = 15SE +/- 1328.09, N = 3SE +/- 2411.69, N = 3SE +/- 335.77, N = 3SE +/- 4313.15, N = 3SE +/- 5351.86, N = 13SE +/- 728.58, N = 3SE +/- 6158.44, N = 12SE +/- 611.43, N = 6SE +/- 981.65, N = 3SE +/- 3944.26, N = 15SE +/- 12582.41, N = 1247050231725079365150287324420182403316350631038105140468227636481510302105396058521. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.15.5Algorithm: SkeincoinEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702110K220K330K440K550KMin: 373060 / Avg: 470501.67 / Max: 494480Min: 313810 / Avg: 317250 / Max: 321140Min: 75330 / Avg: 79365.33 / Max: 84270Min: 148430 / Avg: 150286.67 / Max: 152860Min: 319750 / Avg: 324420 / Max: 327800Min: 181900 / Avg: 182403.33 / Max: 183040Min: 310740 / Avg: 316350 / Max: 324830Min: 570830 / Avg: 631038.46 / Max: 649140Min: 103990 / Avg: 105140 / Max: 106490Min: 404270 / Avg: 468226.67 / Max: 483970Min: 61790 / Avg: 63648.33 / Max: 66140Min: 149150 / Avg: 151030 / Max: 152460Min: 187570 / Avg: 210538.67 / Max: 242310Min: 470320 / Avg: 605851.67 / Max: 6309601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Chaos Group V-RAY

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

OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770213K26K39K52K65KSE +/- 179.29, N = 3SE +/- 397.54, N = 5SE +/- 31.21, N = 3SE +/- 122.98, N = 3SE +/- 391.02, N = 6SE +/- 71.92, N = 3SE +/- 264.62, N = 15SE +/- 467.21, N = 3SE +/- 80.88, N = 3SE +/- 328.54, N = 3SE +/- 44.44, N = 3SE +/- 114.11, N = 3SE +/- 87.62, N = 3SE +/- 487.40, N = 35444536223142042202238904271323708562295175505357011136234863318462754
OpenBenchmarking.orgKsamples, More Is BetterChaos Group V-RAY 4.10.07Mode: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770211K22K33K44K55KMin: 54235 / Avg: 54445.33 / Max: 54802Min: 35373 / Avg: 36223.2 / Max: 37595Min: 14151 / Avg: 14203.67 / Max: 14259Min: 21875 / Avg: 22021.67 / Max: 22266Min: 37112 / Avg: 38903.83 / Max: 39603Min: 27010 / Avg: 27132 / Max: 27259Min: 35376 / Avg: 37084.67 / Max: 38925Min: 61378 / Avg: 62294.67 / Max: 62910Min: 17397 / Avg: 17550 / Max: 17672Min: 53078 / Avg: 53569.67 / Max: 54193Min: 11048 / Avg: 11136.33 / Max: 11189Min: 23305 / Avg: 23486.33 / Max: 23697Min: 33018 / Avg: 33183.67 / Max: 33316Min: 62183 / Avg: 62754.33 / Max: 63724

IndigoBench

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

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.020, N = 3SE +/- 0.008, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.013, N = 3SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.006, N = 37.5965.4151.8082.9325.9503.4615.4778.8982.2897.5551.4563.1294.4948.811
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 7.57 / Avg: 7.6 / Max: 7.64Min: 5.4 / Avg: 5.42 / Max: 5.43Min: 1.8 / Avg: 1.81 / Max: 1.81Min: 2.93 / Avg: 2.93 / Max: 2.93Min: 5.95 / Avg: 5.95 / Max: 5.96Min: 3.46 / Avg: 3.46 / Max: 3.47Min: 5.47 / Avg: 5.48 / Max: 5.49Min: 8.88 / Avg: 8.9 / Max: 8.93Min: 2.29 / Avg: 2.29 / Max: 2.29Min: 7.54 / Avg: 7.56 / Max: 7.57Min: 1.45 / Avg: 1.46 / Max: 1.46Min: 3.12 / Avg: 3.13 / Max: 3.14Min: 4.48 / Avg: 4.49 / Max: 4.51Min: 8.8 / Avg: 8.81 / Max: 8.82

OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.02250.0450.06750.090.11250.090.070.030.060.080.030.080.100.050.090.040.050.060.10

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.035, N = 3SE +/- 0.016, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.013, N = 3SE +/- 0.031, N = 3SE +/- 0.063, N = 3SE +/- 0.010, N = 3SE +/- 0.038, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.014, N = 3SE +/- 0.043, N = 316.23011.5313.8836.21412.7387.68411.85419.0624.85515.9843.1176.5759.63019.095
OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 16.18 / Avg: 16.23 / Max: 16.3Min: 11.52 / Avg: 11.53 / Max: 11.56Min: 3.88 / Avg: 3.88 / Max: 3.89Min: 6.21 / Avg: 6.21 / Max: 6.22Min: 12.72 / Avg: 12.74 / Max: 12.75Min: 7.67 / Avg: 7.68 / Max: 7.71Min: 11.8 / Avg: 11.85 / Max: 11.9Min: 18.94 / Avg: 19.06 / Max: 19.14Min: 4.84 / Avg: 4.85 / Max: 4.87Min: 15.93 / Avg: 15.98 / Max: 16.06Min: 3.11 / Avg: 3.12 / Max: 3.12Min: 6.57 / Avg: 6.58 / Max: 6.59Min: 9.6 / Avg: 9.63 / Max: 9.65Min: 19.02 / Avg: 19.1 / Max: 19.16

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 36.194.541.682.535.033.274.657.211.986.131.382.683.837.04MIN: 6.04 / MAX: 6.75MIN: 4.38 / MAX: 4.8MIN: 1.61 / MAX: 1.72MIN: 2.46 / MAX: 2.62MIN: 4.8 / MAX: 5.35MIN: 3.18 / MAX: 3.41MIN: 4.49 / MAX: 5.07MIN: 7.03 / MAX: 7.62MIN: 1.91 / MAX: 2.03MIN: 5.97 / MAX: 6.57MIN: 1.34 / MAX: 1.42MIN: 2.58 / MAX: 2.77MIN: 3.74 / MAX: 4.01MIN: 6.88 / MAX: 7.39
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 6.14 / Avg: 6.19 / Max: 6.26Min: 4.47 / Avg: 4.54 / Max: 4.64Min: 1.66 / Avg: 1.68 / Max: 1.69Min: 2.52 / Avg: 2.53 / Max: 2.55Min: 4.96 / Avg: 5.03 / Max: 5.09Min: 3.26 / Avg: 3.27 / Max: 3.29Min: 4.58 / Avg: 4.65 / Max: 4.76Min: 7.13 / Avg: 7.21 / Max: 7.27Min: 1.97 / Avg: 1.98 / Max: 1.99Min: 6.07 / Avg: 6.13 / Max: 6.22Min: 1.37 / Avg: 1.38 / Max: 1.39Min: 2.66 / Avg: 2.68 / Max: 2.71Min: 3.81 / Avg: 3.83 / Max: 3.84Min: 6.98 / Avg: 7.04 / Max: 7.07

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 36.814.921.842.745.543.575.047.922.146.751.502.914.177.82MIN: 6.61 / MAX: 6.89MIN: 4.81 / MAX: 5.05MIN: 1.81 / MAX: 1.92MIN: 2.69 / MAX: 2.78MIN: 5.5 / MAX: 5.57MIN: 3.48 / MAX: 3.63MIN: 4.94 / MAX: 5.12MIN: 7.72 / MAX: 8.01MIN: 2.08 / MAX: 2.17MIN: 6.64 / MAX: 6.79MIN: 1.48 / MAX: 1.54MIN: 2.88 / MAX: 2.96MIN: 4.11 / MAX: 4.26MIN: 7.53 / MAX: 7.98
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 6.71 / Avg: 6.81 / Max: 6.88Min: 4.81 / Avg: 4.92 / Max: 5.01Min: 1.83 / Avg: 1.84 / Max: 1.87Min: 2.73 / Avg: 2.74 / Max: 2.76Min: 5.52 / Avg: 5.54 / Max: 5.55Min: 3.53 / Avg: 3.57 / Max: 3.6Min: 4.94 / Avg: 5.04 / Max: 5.12Min: 7.83 / Avg: 7.92 / Max: 7.98Min: 2.12 / Avg: 2.14 / Max: 2.15Min: 6.73 / Avg: 6.75 / Max: 6.78Min: 1.5 / Avg: 1.5 / Max: 1.51Min: 2.89 / Avg: 2.91 / Max: 2.95Min: 4.11 / Avg: 4.17 / Max: 4.22Min: 7.71 / Avg: 7.82 / Max: 7.94

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 9.12, N = 3SE +/- 8.53, N = 3SE +/- 15.51, N = 3SE +/- 21.69, N = 3SE +/- 0.44, N = 3SE +/- 27.57, N = 3SE +/- 6.00, N = 3SE +/- 18.47, N = 3SE +/- 6.54, N = 3SE +/- 22.60, N = 3SE +/- 13.17, N = 3SE +/- 5.79, N = 3SE +/- 4.79, N = 3SE +/- 20.77, N = 39301.010253.311206.89400.79878.010910.19808.08328.29442.99155.09386.810476.810178.38372.71. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KMin: 9282.8 / Avg: 9301 / Max: 9311.2Min: 10242.8 / Avg: 10253.3 / Max: 10270.2Min: 11190.3 / Avg: 11206.8 / Max: 11237.8Min: 9370.8 / Avg: 9400.73 / Max: 9442.9Min: 9877.3 / Avg: 9878 / Max: 9878.8Min: 10869.2 / Avg: 10910.13 / Max: 10962.6Min: 9796 / Avg: 9808 / Max: 9814.1Min: 8294.6 / Avg: 8328.2 / Max: 8358.3Min: 9434.1 / Avg: 9442.93 / Max: 9455.7Min: 9132 / Avg: 9155 / Max: 9200.2Min: 9360.9 / Avg: 9386.83 / Max: 9403.8Min: 10468.4 / Avg: 10476.8 / Max: 10487.9Min: 10170 / Avg: 10178.27 / Max: 10186.6Min: 8331.9 / Avg: 8372.7 / Max: 8399.91. (CXX) g++ options: -rdynamic

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 34.97, N = 3SE +/- 14.29, N = 3SE +/- 4.75, N = 3SE +/- 3.19, N = 3SE +/- 4.93, N = 3SE +/- 20.53, N = 3SE +/- 18.74, N = 3SE +/- 8.45, N = 3SE +/- 6.17, N = 3SE +/- 25.58, N = 3SE +/- 5.69, N = 3SE +/- 34.67, N = 3SE +/- 21.24, N = 3SE +/- 33.88, N = 38499.28476.36573.96706.27885.07899.77903.68287.76498.48172.05123.27699.48033.08248.31. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770215003000450060007500Min: 8460.8 / Avg: 8499.17 / Max: 8569Min: 8449.2 / Avg: 8476.3 / Max: 8497.7Min: 6567.3 / Avg: 6573.87 / Max: 6583.1Min: 6700.4 / Avg: 6706.17 / Max: 6711.4Min: 7875.6 / Avg: 7885 / Max: 7892.3Min: 7860.7 / Avg: 7899.7 / Max: 7930.3Min: 7870.9 / Avg: 7903.63 / Max: 7935.8Min: 8277.2 / Avg: 8287.67 / Max: 8304.4Min: 6486.1 / Avg: 6498.4 / Max: 6505.4Min: 8129 / Avg: 8172.03 / Max: 8217.5Min: 5117.2 / Avg: 5123.23 / Max: 5134.6Min: 7651 / Avg: 7699.4 / Max: 7766.6Min: 7990.6 / Avg: 8033.03 / Max: 8056Min: 8204.5 / Avg: 8248.33 / Max: 83151. (CC) gcc options: -O3 -pthread -lz -llzma

Stream

OpenBenchmarking.orgMB/s Per Watt, More Is BetterStream 2013-01-17Type: TriadEPYC 7232PEPYC 7302PEPYC 7402P60012001800240030002060.052743.302788.51

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.15, N = 3SE +/- 0.79, N = 3SE +/- 0.09, N = 3SE +/- 0.55, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 1.22, N = 3130.1122.747.066.4114.476.1114.3149.655.2125.737.373.896.9147.51. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 129.9 / Avg: 130.1 / Max: 130.3Min: 122.7 / Avg: 122.7 / Max: 122.7Min: 47 / Avg: 47.03 / Max: 47.1Min: 66.2 / Avg: 66.4 / Max: 66.6Min: 114.2 / Avg: 114.4 / Max: 114.7Min: 74.9 / Avg: 76.13 / Max: 77.6Min: 114.2 / Avg: 114.33 / Max: 114.5Min: 148.7 / Avg: 149.6 / Max: 150.6Min: 55.1 / Avg: 55.2 / Max: 55.3Min: 125.4 / Avg: 125.67 / Max: 125.9Min: 37.2 / Avg: 37.3 / Max: 37.4Min: 73.8 / Avg: 73.83 / Max: 73.9Min: 96.8 / Avg: 96.93 / Max: 97.1Min: 145.1 / Avg: 147.53 / Max: 148.81. (CC) gcc options: -O3 -pthread -lz -llzma

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 55.86, N = 3SE +/- 52.96, N = 3SE +/- 8.54, N = 3SE +/- 14.87, N = 3SE +/- 19.46, N = 3SE +/- 5.54, N = 3SE +/- 19.08, N = 3SE +/- 18.11, N = 3SE +/- 18.08, N = 3SE +/- 52.82, N = 3SE +/- 29.02, N = 3SE +/- 57.96, N = 3SE +/- 50.78, N = 39434.319802.819360.359468.599461.099464.009376.869365.449369.359421.699428.779472.869496.001. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KMin: 9377.21 / Avg: 9434.31 / Max: 9546.03Min: 9744.32 / Avg: 9802.81 / Max: 9908.52Min: 9345.51 / Avg: 9360.35 / Max: 9375.08Min: 9438.88 / Avg: 9468.59 / Max: 9484.45Min: 9423.06 / Avg: 9461.09 / Max: 9487.27Min: 9454.4 / Avg: 9464 / Max: 9473.6Min: 9351.87 / Avg: 9376.86 / Max: 9414.33Min: 9344.67 / Avg: 9365.44 / Max: 9401.53Min: 9339.76 / Avg: 9369.35 / Max: 9402.14Min: 9316.16 / Avg: 9421.69 / Max: 9478.74Min: 9379.2 / Avg: 9428.77 / Max: 9479.71Min: 9413.59 / Avg: 9472.86 / Max: 9588.77Min: 9444.69 / Avg: 9496 / Max: 9597.561. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 41.47, N = 3SE +/- 42.46, N = 3SE +/- 7.93, N = 3SE +/- 47.44, N = 3SE +/- 24.26, N = 3SE +/- 5.92, N = 3SE +/- 27.42, N = 3SE +/- 27.35, N = 3SE +/- 23.29, N = 3SE +/- 37.22, N = 3SE +/- 18.80, N = 3SE +/- 43.01, N = 3SE +/- 36.93, N = 310931.611210.010898.310993.210701.310968.610926.310929.910920.510936.611006.610951.010996.11. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KMin: 10851.3 / Avg: 10931.63 / Max: 10989.7Min: 11129.3 / Avg: 11209.97 / Max: 11273.3Min: 10885.6 / Avg: 10898.33 / Max: 10912.9Min: 10916.9 / Avg: 10993.2 / Max: 11080.2Min: 10654.2 / Avg: 10701.33 / Max: 10734.9Min: 10961.1 / Avg: 10968.63 / Max: 10980.3Min: 10874.5 / Avg: 10926.3 / Max: 10967.8Min: 10878.3 / Avg: 10929.9 / Max: 10971.4Min: 10874.2 / Avg: 10920.47 / Max: 10948.2Min: 10862.2 / Avg: 10936.63 / Max: 10975.1Min: 10976.1 / Avg: 11006.63 / Max: 11040.9Min: 10899.4 / Avg: 10951 / Max: 11036.4Min: 10957.3 / Avg: 10996.07 / Max: 11069.91. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021224364860SE +/- 0.37, N = 3SE +/- 0.35, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.29, N = 3SE +/- 0.31, N = 3SE +/- 0.15, N = 3SE +/- 0.65, N = 3SE +/- 0.43, N = 3SE +/- 0.53, N = 3SE +/- 0.55, N = 4SE +/- 0.42, N = 744.6952.7944.3845.9052.8245.7745.1943.2345.3844.9344.5345.9845.691. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021122334455Min: 44.12 / Avg: 44.69 / Max: 45.37Min: 52.36 / Avg: 52.79 / Max: 53.48Min: 44.15 / Avg: 44.38 / Max: 44.66Min: 45.84 / Avg: 45.9 / Max: 45.97Min: 52.79 / Avg: 52.82 / Max: 52.84Min: 45.44 / Avg: 45.77 / Max: 46.36Min: 44.56 / Avg: 45.19 / Max: 45.52Min: 42.93 / Avg: 43.23 / Max: 43.4Min: 44.32 / Avg: 45.38 / Max: 46.55Min: 44.07 / Avg: 44.93 / Max: 45.44Min: 44 / Avg: 44.53 / Max: 45.58Min: 45.35 / Avg: 45.98 / Max: 47.62Min: 44.72 / Avg: 45.69 / Max: 47.441. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 43.54, N = 3SE +/- 34.53, N = 3SE +/- 66.67, N = 3SE +/- 29.33, N = 3SE +/- 89.78, N = 3SE +/- 14.46, N = 3SE +/- 44.06, N = 3SE +/- 29.05, N = 3SE +/- 54.81, N = 3SE +/- 44.49, N = 3SE +/- 93.14, N = 3SE +/- 36.01, N = 4SE +/- 18.64, N = 710118.010567.210112.210222.410099.610232.810170.710101.010159.710063.010172.710209.310162.01. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KMin: 10073.2 / Avg: 10118.03 / Max: 10205.1Min: 10498.8 / Avg: 10567.23 / Max: 10609.5Min: 9978.9 / Avg: 10112.23 / Max: 10180.1Min: 10167.9 / Avg: 10222.43 / Max: 10268.4Min: 9990.9 / Avg: 10099.57 / Max: 10277.7Min: 10214 / Avg: 10232.77 / Max: 10261.2Min: 10082.6 / Avg: 10170.7 / Max: 10215.9Min: 10050 / Avg: 10101 / Max: 10150.6Min: 10076.5 / Avg: 10159.67 / Max: 10263.1Min: 10013.3 / Avg: 10063.03 / Max: 10151.8Min: 10073 / Avg: 10172.67 / Max: 10358.8Min: 10125 / Avg: 10209.25 / Max: 10270.7Min: 10103.5 / Avg: 10162.01 / Max: 10237.81. (CC) gcc options: -O3

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021224364860SE +/- 0.02, N = 3SE +/- 0.36, N = 15SE +/- 0.13, N = 3SE +/- 0.28, N = 3SE +/- 0.42, N = 3SE +/- 0.39, N = 3SE +/- 0.42, N = 3SE +/- 0.61, N = 3SE +/- 0.48, N = 5SE +/- 0.44, N = 5SE +/- 0.42, N = 3SE +/- 0.34, N = 3SE +/- 0.30, N = 1443.6951.9542.2545.1352.0244.6844.8042.9444.4943.1743.9845.0944.541. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021020304050Min: 43.65 / Avg: 43.69 / Max: 43.71Min: 49.68 / Avg: 51.95 / Max: 54.03Min: 42.11 / Avg: 42.25 / Max: 42.52Min: 44.77 / Avg: 45.13 / Max: 45.69Min: 51.53 / Avg: 52.02 / Max: 52.86Min: 44.24 / Avg: 44.68 / Max: 45.45Min: 44.34 / Avg: 44.8 / Max: 45.63Min: 42.28 / Avg: 42.94 / Max: 44.16Min: 43.45 / Avg: 44.49 / Max: 45.67Min: 42.2 / Avg: 43.17 / Max: 44.21Min: 43.51 / Avg: 43.98 / Max: 44.82Min: 44.42 / Avg: 45.09 / Max: 45.46Min: 42.74 / Avg: 44.54 / Max: 46.271. (CC) gcc options: -O3

Tinymembench

OpenBenchmarking.orgMB/s Per Watt, More Is BetterTinymembench 2018-05-28Standard MemsetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770270140210280350202.28286.11333.88303.95209.76289.31215.62334.79268.71332.00279.72284.81236.78

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 51.28, N = 3SE +/- 12.37, N = 15SE +/- 51.98, N = 3SE +/- 71.90, N = 3SE +/- 33.96, N = 3SE +/- 31.02, N = 3SE +/- 42.91, N = 3SE +/- 37.27, N = 3SE +/- 28.28, N = 5SE +/- 28.32, N = 5SE +/- 35.59, N = 3SE +/- 36.49, N = 3SE +/- 25.22, N = 1410188.610561.910110.910292.510068.510184.510249.310070.210156.510057.810132.110256.310219.51. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KMin: 10089.5 / Avg: 10188.6 / Max: 10261Min: 10508.8 / Avg: 10561.89 / Max: 10609.7Min: 10010.1 / Avg: 10110.87 / Max: 10183.4Min: 10179.5 / Avg: 10292.47 / Max: 10426Min: 10031 / Avg: 10068.5 / Max: 10136.3Min: 10134.8 / Avg: 10184.5 / Max: 10241.5Min: 10163.9 / Avg: 10249.27 / Max: 10299.5Min: 10010.8 / Avg: 10070.17 / Max: 10138.9Min: 10088.8 / Avg: 10156.48 / Max: 10226.8Min: 10025.8 / Avg: 10057.76 / Max: 10170.9Min: 10093.6 / Avg: 10132.1 / Max: 10203.2Min: 10188.2 / Avg: 10256.27 / Max: 10313.1Min: 10124.1 / Avg: 10219.52 / Max: 10411.51. (CC) gcc options: -O3

Stream

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: CopyEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KSE +/- 10.31, N = 5SE +/- 52.59, N = 5SE +/- 2.37, N = 5SE +/- 5.66, N = 5SE +/- 330.72, N = 5SE +/- 14.85, N = 5SE +/- 13.27, N = 5SE +/- 7.06, N = 5SE +/- 15.41, N = 5SE +/- 9.94, N = 5SE +/- 8.02, N = 5SE +/- 5.59, N = 5SE +/- 31.65, N = 590663.282399.751093.179674.166901.179342.990296.551714.488717.252390.080140.179677.290511.81. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: CopyEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770216K32K48K64K80KMin: 90631.3 / Avg: 90663.16 / Max: 90687.7Min: 82189.9 / Avg: 82399.72 / Max: 82465.6Min: 51087.4 / Avg: 51093.14 / Max: 51100.2Min: 79657.3 / Avg: 79674.1 / Max: 79689.4Min: 65648.8 / Avg: 66901.12 / Max: 67581.9Min: 79306.1 / Avg: 79342.9 / Max: 79388.7Min: 90262 / Avg: 90296.46 / Max: 90328.8Min: 51688.2 / Avg: 51714.44 / Max: 51726.5Min: 88676.8 / Avg: 88717.18 / Max: 88755.4Min: 52373.2 / Avg: 52390.04 / Max: 52428Min: 80119.5 / Avg: 80140.14 / Max: 80160.6Min: 79657.3 / Avg: 79677.16 / Max: 79688.5Min: 90390.8 / Avg: 90511.82 / Max: 905641. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: ScaleEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KSE +/- 18.59, N = 5SE +/- 30.51, N = 5SE +/- 3.08, N = 5SE +/- 14.00, N = 5SE +/- 31.64, N = 5SE +/- 12.22, N = 5SE +/- 21.55, N = 5SE +/- 4.61, N = 5SE +/- 32.31, N = 5SE +/- 61.32, N = 5SE +/- 10.74, N = 5SE +/- 7.47, N = 5SE +/- 27.01, N = 589487.681753.051044.278399.967011.978638.687848.151978.286805.652630.179703.579147.387714.61. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: ScaleEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770216K32K48K64K80KMin: 89445.1 / Avg: 89487.56 / Max: 89550.1Min: 81720.5 / Avg: 81753 / Max: 81875Min: 51038.4 / Avg: 51044.22 / Max: 51055.9Min: 78366.2 / Avg: 78399.86 / Max: 78439.4Min: 66926.2 / Avg: 67011.88 / Max: 67120.3Min: 78592.9 / Avg: 78638.56 / Max: 78666.6Min: 87786 / Avg: 87848.06 / Max: 87907.9Min: 51965.2 / Avg: 51978.22 / Max: 51992.1Min: 86725.2 / Avg: 86805.6 / Max: 86880.2Min: 52385 / Avg: 52630.06 / Max: 52697.2Min: 79669.6 / Avg: 79703.46 / Max: 79733Min: 79125.7 / Avg: 79147.34 / Max: 79168.6Min: 87618.6 / Avg: 87714.62 / Max: 877861. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: AddEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KSE +/- 7.96, N = 5SE +/- 18.23, N = 5SE +/- 6.11, N = 5SE +/- 16.89, N = 5SE +/- 39.00, N = 5SE +/- 13.36, N = 5SE +/- 29.12, N = 5SE +/- 9.00, N = 5SE +/- 16.17, N = 5SE +/- 61.95, N = 5SE +/- 17.97, N = 5SE +/- 9.19, N = 5SE +/- 25.81, N = 597912.589255.455437.286737.772752.286677.297180.955911.695807.056795.187568.886805.697206.31. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: AddEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KMin: 97891 / Avg: 97912.52 / Max: 97938.6Min: 89196.2 / Avg: 89255.38 / Max: 89299.1Min: 55417 / Avg: 55437.24 / Max: 55454.2Min: 86695.7 / Avg: 86737.72 / Max: 86780.2Min: 72639.1 / Avg: 72752.2 / Max: 72844.7Min: 86645.7 / Avg: 86677.24 / Max: 86711.4Min: 97111 / Avg: 97180.94 / Max: 97268.6Min: 55883.1 / Avg: 55911.58 / Max: 55937.4Min: 95762.2 / Avg: 95807.04 / Max: 95857.9Min: 56547.6 / Avg: 56795.1 / Max: 56866.8Min: 87527.2 / Avg: 87568.78 / Max: 87617.1Min: 86780.2 / Avg: 86805.64 / Max: 86837.1Min: 97146.6 / Avg: 97206.28 / Max: 97299.61. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: TriadEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KSE +/- 16.47, N = 5SE +/- 59.32, N = 5SE +/- 8.84, N = 5SE +/- 36.22, N = 5SE +/- 194.23, N = 5SE +/- 19.43, N = 5SE +/- 21.10, N = 5SE +/- 2.27, N = 5SE +/- 11.91, N = 5SE +/- 65.26, N = 5SE +/- 5.88, N = 5SE +/- 7.48, N = 5SE +/- 26.33, N = 599248.289567.255596.387057.072315.687239.898343.256066.696497.156788.688105.787308.498034.81. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: TriadEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KMin: 99194.2 / Avg: 99248.22 / Max: 99293.1Min: 89468.9 / Avg: 89567.18 / Max: 89800.2Min: 55564.4 / Avg: 55596.28 / Max: 55617.5Min: 86972.9 / Avg: 87057.04 / Max: 87161.9Min: 71942.4 / Avg: 72315.56 / Max: 73068.3Min: 87168 / Avg: 87239.76 / Max: 87282.1Min: 98280 / Avg: 98343.22 / Max: 98393.4Min: 56061.4 / Avg: 56066.58 / Max: 56074.5Min: 96474.4 / Avg: 96497.14 / Max: 96541Min: 56528 / Avg: 56788.62 / Max: 56863.9Min: 88086.3 / Avg: 88105.74 / Max: 88121.8Min: 87291.9 / Avg: 87308.42 / Max: 87333.6Min: 97939.6 / Avg: 98034.8 / Max: 98096.11. (CC) gcc options: -O3 -march=native -fopenmp

Tinymembench

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard MemcpyEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 2.22, N = 3SE +/- 2.03, N = 3SE +/- 7.90, N = 3SE +/- 17.46, N = 3SE +/- 1.52, N = 3SE +/- 2.05, N = 3SE +/- 14.82, N = 3SE +/- 22.30, N = 3SE +/- 35.12, N = 3SE +/- 2.95, N = 3SE +/- 2.29, N = 3SE +/- 19.03, N = 3SE +/- 44.65, N = 38829.99025.48850.68907.79055.18854.28852.08825.79087.18805.98842.78902.89314.01. (CC) gcc options: -O2 -lm
OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard MemcpyEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770216003200480064008000Min: 8825.5 / Avg: 8829.87 / Max: 8832.7Min: 9023.3 / Avg: 9025.43 / Max: 9029.5Min: 8835.2 / Avg: 8850.57 / Max: 8861.4Min: 8873.4 / Avg: 8907.73 / Max: 8930.4Min: 9052.3 / Avg: 9055.13 / Max: 9057.5Min: 8851 / Avg: 8854.17 / Max: 8858Min: 8829.6 / Avg: 8851.97 / Max: 8880Min: 8781.6 / Avg: 8825.67 / Max: 8853.7Min: 9051.6 / Avg: 9087.07 / Max: 9157.3Min: 8800 / Avg: 8805.9 / Max: 8809Min: 8838.4 / Avg: 8842.73 / Max: 8846.2Min: 8864.9 / Avg: 8902.83 / Max: 8924.5Min: 9224.8 / Avg: 9313.97 / Max: 9362.91. (CC) gcc options: -O2 -lm

Stream-Dynamic

This is an open-source AMD modified copy of the Stream memory benchmark catered towards running the RAM benchmark on systems with the AMD Optimizing C/C++ Compiler (AOCC) among other by-default optimizations aiming for an easy and standardized deployment. This test profile though will attempt to fall-back to GCC / Clang for systems lacking AOCC, otherwise there is the existing "stream" test profile. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- ScaleEPYC 7532EPYC 7282EPYC 754220K40K60K80K100KSE +/- 25.57, N = 3SE +/- 11.66, N = 3SE +/- 12.91, N = 392368.4153610.3581529.061. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- ScaleEPYC 7532EPYC 7282EPYC 754216K32K48K64K80KMin: 92337.02 / Avg: 92368.41 / Max: 92419.07Min: 53588 / Avg: 53610.35 / Max: 53627.31Min: 81504.71 / Avg: 81529.06 / Max: 81548.691. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- CopyEPYC 7532EPYC 7282EPYC 754220K40K60K80K100KSE +/- 15.65, N = 3SE +/- 10.71, N = 3SE +/- 16.48, N = 394075.6753581.2782081.431. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- CopyEPYC 7532EPYC 7282EPYC 754216K32K48K64K80KMin: 94054.25 / Avg: 94075.67 / Max: 94106.13Min: 53561.74 / Avg: 53581.27 / Max: 53598.65Min: 82062.83 / Avg: 82081.43 / Max: 82114.31. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

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

Tinymembench

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard MemsetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024K8K12K16K20KSE +/- 27.08, N = 3SE +/- 28.30, N = 3SE +/- 18.80, N = 3SE +/- 39.21, N = 3SE +/- 39.37, N = 3SE +/- 13.93, N = 3SE +/- 52.61, N = 3SE +/- 37.39, N = 3SE +/- 217.68, N = 3SE +/- 21.61, N = 3SE +/- 20.90, N = 3SE +/- 46.42, N = 3SE +/- 217.98, N = 314786.916357.214921.315872.015585.715097.115640.114776.416494.414571.714820.314961.417329.81. (CC) gcc options: -O2 -lm
OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard MemsetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KMin: 14734.2 / Avg: 14786.93 / Max: 14824Min: 16301.7 / Avg: 16357.2 / Max: 16394.6Min: 14884.6 / Avg: 14921.27 / Max: 14946.8Min: 15794.6 / Avg: 15872.03 / Max: 15921.5Min: 15512.6 / Avg: 15585.7 / Max: 15647.6Min: 15074.8 / Avg: 15097.07 / Max: 15122.7Min: 15534.9 / Avg: 15640.1 / Max: 15694.5Min: 14704.8 / Avg: 14776.4 / Max: 14830.9Min: 16092.5 / Avg: 16494.43 / Max: 16840.3Min: 14546.4 / Avg: 14571.7 / Max: 14614.7Min: 14781.5 / Avg: 14820.27 / Max: 14853.2Min: 14876.5 / Avg: 14961.37 / Max: 15036.4Min: 16900.6 / Avg: 17329.83 / Max: 17610.51. (CC) gcc options: -O2 -lm

Stream-Dynamic

This is an open-source AMD modified copy of the Stream memory benchmark catered towards running the RAM benchmark on systems with the AMD Optimizing C/C++ Compiler (AOCC) among other by-default optimizations aiming for an easy and standardized deployment. This test profile though will attempt to fall-back to GCC / Clang for systems lacking AOCC, otherwise there is the existing "stream" test profile. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- AddEPYC 7532EPYC 7282EPYC 754220K40K60K80K100KSE +/- 8.82, N = 3SE +/- 10.53, N = 3SE +/- 6.47, N = 3103789.9957323.3890238.631. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- AddEPYC 7532EPYC 7282EPYC 754220K40K60K80K100KMin: 103778.66 / Avg: 103789.99 / Max: 103807.37Min: 57311.27 / Avg: 57323.38 / Max: 57344.35Min: 90231.4 / Avg: 90238.63 / Max: 90251.531. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- TriadEPYC 7532EPYC 7282EPYC 754220K40K60K80K100KSE +/- 22.34, N = 3SE +/- 9.56, N = 3SE +/- 9.40, N = 3104119.1657372.7390450.721. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp
OpenBenchmarking.orgMB/s, More Is BetterStream-Dynamic 1.0- TriadEPYC 7532EPYC 7282EPYC 754220K40K60K80K100KMin: 104077.01 / Avg: 104119.16 / Max: 104153.07Min: 57357.79 / Avg: 57372.73 / Max: 57390.53Min: 90432.15 / Avg: 90450.72 / Max: 90462.551. (CXX) g++ options: -Ofast -mcmodel=large -mavx2 -ffp-contract=fast -march=native -fopenmp

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark part of libjpeg-turbo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200SE +/- 0.03, N = 7SE +/- 0.07, N = 7SE +/- 0.02, N = 7SE +/- 0.10, N = 7SE +/- 0.07, N = 7SE +/- 0.04, N = 7SE +/- 0.05, N = 7SE +/- 0.04, N = 7SE +/- 0.26, N = 7SE +/- 0.02, N = 7SE +/- 0.03, N = 7SE +/- 0.04, N = 7SE +/- 0.44, N = 7SE +/- 0.04, N = 7167.57167.52197.77162.07172.55197.79170.11167.62162.37167.61162.56167.63169.70169.541. (CC) gcc options: -O3 -rdynamic
OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.0.2Test: Decompression ThroughputEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200Min: 167.44 / Avg: 167.57 / Max: 167.69Min: 167.15 / Avg: 167.52 / Max: 167.68Min: 197.66 / Avg: 197.77 / Max: 197.86Min: 161.84 / Avg: 162.07 / Max: 162.46Min: 172.16 / Avg: 172.55 / Max: 172.69Min: 197.62 / Avg: 197.79 / Max: 197.87Min: 169.86 / Avg: 170.11 / Max: 170.26Min: 167.5 / Avg: 167.62 / Max: 167.77Min: 160.82 / Avg: 162.37 / Max: 162.74Min: 167.49 / Avg: 167.61 / Max: 167.66Min: 162.5 / Avg: 162.56 / Max: 162.7Min: 167.45 / Avg: 167.63 / Max: 167.79Min: 167.04 / Avg: 169.7 / Max: 170.26Min: 169.39 / Avg: 169.54 / Max: 169.691. (CC) gcc options: -O3 -rdynamic

FFTE

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

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230K60K90K120K150KSE +/- 641.51, N = 9SE +/- 154.09, N = 8SE +/- 37.94, N = 10SE +/- 71.59, N = 9SE +/- 143.74, N = 9SE +/- 308.97, N = 9SE +/- 160.95, N = 8SE +/- 1366.04, N = 15SE +/- 22.37, N = 11SE +/- 375.36, N = 8SE +/- 139.55, N = 9SE +/- 80.44, N = 9SE +/- 134.09, N = 10SE +/- 1033.87, N = 15149967.74135786.9454800.9976796.04144583.8771767.96136276.50155375.9861838.52135838.1244242.9884316.23111563.84145868.291. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230K60K90K120K150KMin: 148789.93 / Avg: 149967.74 / Max: 154980.74Min: 135207.86 / Avg: 135786.94 / Max: 136435.92Min: 54543.54 / Avg: 54800.99 / Max: 54955.54Min: 76508.11 / Avg: 76796.04 / Max: 77062.73Min: 143957.47 / Avg: 144583.87 / Max: 145193.47Min: 70448.73 / Avg: 71767.96 / Max: 73371.09Min: 135695.57 / Avg: 136276.5 / Max: 136949.63Min: 151616.85 / Avg: 155375.98 / Max: 173605.93Min: 61730.3 / Avg: 61838.52 / Max: 61950.09Min: 133822.4 / Avg: 135838.12 / Max: 137193.41Min: 43253.52 / Avg: 44242.98 / Max: 44735.98Min: 83921.86 / Avg: 84316.23 / Max: 84643.19Min: 110544.87 / Avg: 111563.84 / Max: 112037.3Min: 143378.84 / Avg: 145868.29 / Max: 1599241. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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: 1D FFT Size 4096EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770211K22K33K44K55KSE +/- 392.71, N = 6SE +/- 312.60, N = 6SE +/- 204.79, N = 6SE +/- 244.70, N = 6SE +/- 307.98, N = 6SE +/- 131.48, N = 6SE +/- 288.40, N = 6SE +/- 399.17, N = 6SE +/- 304.76, N = 6SE +/- 152.42, N = 6SE +/- 369.07, N = 6SE +/- 385.00, N = 7SE +/- 343.41, N = 6SE +/- 126.64, N = 642836432755067542375439365096943903427304191243404417044276143414443281. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 1D FFT Size 4096EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029K18K27K36K45KMin: 41412 / Avg: 42836.17 / Max: 44004Min: 41954 / Avg: 43274.83 / Max: 44008Min: 49987 / Avg: 50674.5 / Max: 51435Min: 41289 / Avg: 42374.5 / Max: 42923Min: 43041 / Avg: 43936.17 / Max: 44903Min: 50577 / Avg: 50968.83 / Max: 51456Min: 42938 / Avg: 43902.83 / Max: 44700Min: 40860 / Avg: 42729.67 / Max: 43619Min: 40544 / Avg: 41912 / Max: 42672Min: 42872 / Avg: 43404.33 / Max: 43831Min: 40672 / Avg: 41703.5 / Max: 42890Min: 40864 / Avg: 42761.14 / Max: 44031Min: 42288 / Avg: 43414 / Max: 44416Min: 43820 / Avg: 44328.17 / Max: 446881. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 2048EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77026K12K18K24K30KSE +/- 82.48, N = 3SE +/- 124.32, N = 3SE +/- 204.43, N = 3SE +/- 144.50, N = 3SE +/- 218.98, N = 3SE +/- 239.23, N = 3SE +/- 275.94, N = 15SE +/- 287.13, N = 3SE +/- 254.46, N = 15SE +/- 82.21, N = 3SE +/- 93.54, N = 3SE +/- 238.46, N = 3SE +/- 250.51, N = 6SE +/- 294.57, N = 1526289263053003725601267242663626186268672487626303183782604526769261431. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 2048EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025K10K15K20K25KMin: 26194 / Avg: 26288.67 / Max: 26453Min: 26075 / Avg: 26304.67 / Max: 26502Min: 29628 / Avg: 30036.67 / Max: 30252Min: 25375 / Avg: 25601 / Max: 25870Min: 26452 / Avg: 26723.67 / Max: 27157Min: 26158 / Avg: 26636.33 / Max: 26885Min: 23734 / Avg: 26185.6 / Max: 27586Min: 26432 / Avg: 26866.67 / Max: 27409Min: 23020 / Avg: 24876 / Max: 25801Min: 26216 / Avg: 26302.67 / Max: 26467Min: 18209 / Avg: 18378 / Max: 18532Min: 25635 / Avg: 26045.33 / Max: 26461Min: 26241 / Avg: 26768.83 / Max: 27891Min: 23624 / Avg: 26142.87 / Max: 272611. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024K8K12K16K20KSE +/- 142.34, N = 3SE +/- 135.81, N = 9SE +/- 233.09, N = 3SE +/- 49.84, N = 3SE +/- 37.78, N = 3SE +/- 146.33, N = 3SE +/- 33.50, N = 3SE +/- 32.36, N = 3SE +/- 167.66, N = 3SE +/- 159.60, N = 7SE +/- 181.85, N = 3SE +/- 28.18, N = 3SE +/- 31.25, N = 3SE +/- 52.30, N = 317609173081903617559180471903717664176811682017090147131760017644177931. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm
OpenBenchmarking.orgMflops, More Is BetterFFTW 3.3.6Build: Float + SSE - Size: 2D FFT Size 4096EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KMin: 17324 / Avg: 17608.67 / Max: 17754Min: 16389 / Avg: 17308.33 / Max: 17615Min: 18580 / Avg: 19036.33 / Max: 19347Min: 17469 / Avg: 17559.33 / Max: 17641Min: 18004 / Avg: 18046.67 / Max: 18122Min: 18745 / Avg: 19037 / Max: 19200Min: 17611 / Avg: 17664 / Max: 17726Min: 17626 / Avg: 17680.67 / Max: 17738Min: 16499 / Avg: 16820.33 / Max: 17064Min: 16499 / Avg: 17090.14 / Max: 17664Min: 14527 / Avg: 14713.33 / Max: 15077Min: 17559 / Avg: 17600 / Max: 17654Min: 17597 / Avg: 17643.67 / Max: 17703Min: 17693 / Avg: 17792.67 / Max: 178701. (CC) gcc options: -pthread -O3 -fomit-frame-pointer -mtune=native -malign-double -fstrict-aliasing -fno-schedule-insns -ffast-math -lm

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500SE +/- 44.49, N = 4SE +/- 42.46, N = 3SE +/- 33.69, N = 3SE +/- 17.87, N = 3SE +/- 9.42, N = 3SE +/- 38.21, N = 3SE +/- 43.10, N = 4SE +/- 47.38, N = 4SE +/- 37.21, N = 3SE +/- 31.29, N = 9SE +/- 25.83, N = 3SE +/- 46.66, N = 4SE +/- 37.84, N = 3SE +/- 36.48, N = 33816.083830.204336.413756.963988.944367.123853.503837.563634.173793.173589.933792.813765.853762.491. (CC) gcc options: -O3 -mavx2
OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77028001600240032004000Min: 3692 / Avg: 3816.08 / Max: 3902.55Min: 3768.21 / Avg: 3830.2 / Max: 3911.46Min: 4277.41 / Avg: 4336.41 / Max: 4394.1Min: 3721.38 / Avg: 3756.96 / Max: 3777.75Min: 3976.02 / Avg: 3988.94 / Max: 4007.28Min: 4297.85 / Avg: 4367.12 / Max: 4429.7Min: 3731.7 / Avg: 3853.5 / Max: 3929.87Min: 3701.86 / Avg: 3837.56 / Max: 3910.17Min: 3590.61 / Avg: 3634.17 / Max: 3708.22Min: 3632 / Avg: 3793.17 / Max: 3925.79Min: 3541.75 / Avg: 3589.93 / Max: 3630.15Min: 3699.39 / Avg: 3792.81 / Max: 3917.69Min: 3719.42 / Avg: 3765.85 / Max: 3840.83Min: 3718.35 / Avg: 3762.49 / Max: 3834.861. (CC) gcc options: -O3 -mavx2

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025001000150020002500SE +/- 10.26, N = 3SE +/- 13.33, N = 3SE +/- 8.78, N = 3SE +/- 11.83, N = 3SE +/- 10.66, N = 3SE +/- 9.97, N = 3SE +/- 10.12, N = 3SE +/- 12.91, N = 3SE +/- 13.45, N = 3SE +/- 10.95, N = 3SE +/- 10.13, N = 3SE +/- 12.22, N = 3SE +/- 11.47, N = 31922.32285.21887.02016.42300.71984.51955.31893.21945.31892.01952.51977.31970.11. (CXX) g++ options: -O3 -march=native -rdynamic
OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.21EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400800120016002000Min: 1902.5 / Avg: 1922.27 / Max: 1936.9Min: 2258.5 / Avg: 2285.17 / Max: 2298.8Min: 1869.4 / Avg: 1886.97 / Max: 1895.9Min: 1993.3 / Avg: 2016.43 / Max: 2032.3Min: 2279.8 / Avg: 2300.73 / Max: 2314.7Min: 1964.7 / Avg: 1984.5 / Max: 1996.4Min: 1935.1 / Avg: 1955.3 / Max: 1966.5Min: 1867.5 / Avg: 1893.2 / Max: 1908.2Min: 1918.7 / Avg: 1945.33 / Max: 1961.9Min: 1870.4 / Avg: 1892 / Max: 1905.9Min: 1932.3 / Avg: 1952.53 / Max: 1963.6Min: 1953.5 / Avg: 1977.33 / Max: 1993.9Min: 1947.7 / Avg: 1970.13 / Max: 1985.51. (CXX) g++ options: -O3 -march=native -rdynamic

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770290180270360450SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.25, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.40, N = 3SE +/- 0.16, N = 3361.80363.10429.41351.14374.52429.14368.69362.99352.07363.50352.29362.20368.38368.931. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280160240320400Min: 361.43 / Avg: 361.8 / Max: 362.1Min: 362.85 / Avg: 363.1 / Max: 363.25Min: 429.18 / Avg: 429.41 / Max: 429.7Min: 350.66 / Avg: 351.14 / Max: 351.45Min: 374.32 / Avg: 374.52 / Max: 374.67Min: 429.06 / Avg: 429.14 / Max: 429.27Min: 368.54 / Avg: 368.69 / Max: 368.97Min: 362.68 / Avg: 362.99 / Max: 363.15Min: 351.75 / Avg: 352.07 / Max: 352.26Min: 363.36 / Avg: 363.5 / Max: 363.69Min: 352.1 / Avg: 352.29 / Max: 352.53Min: 362.03 / Avg: 362.2 / Max: 362.49Min: 367.96 / Avg: 368.38 / Max: 369.17Min: 368.71 / Avg: 368.93 / Max: 369.251. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 376.2276.5390.4674.0678.8890.4277.6976.5574.2176.5874.2776.5177.5777.701. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMIEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 76.12 / Avg: 76.22 / Max: 76.31Min: 76.42 / Avg: 76.53 / Max: 76.6Min: 90.45 / Avg: 90.46 / Max: 90.47Min: 73.98 / Avg: 74.06 / Max: 74.21Min: 78.84 / Avg: 78.88 / Max: 78.91Min: 90.37 / Avg: 90.42 / Max: 90.45Min: 77.68 / Avg: 77.69 / Max: 77.7Min: 76.54 / Avg: 76.55 / Max: 76.55Min: 74.18 / Avg: 74.21 / Max: 74.22Min: 76.57 / Avg: 76.57 / Max: 76.58Min: 74.23 / Avg: 74.27 / Max: 74.29Min: 76.49 / Avg: 76.51 / Max: 76.52Min: 77.5 / Avg: 77.57 / Max: 77.66Min: 77.66 / Avg: 77.7 / Max: 77.771. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: AES-256EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022040608010070.2867.57101.50105.1497.5776.1195.1267.17108.2179.86109.5694.0896.3666.83

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770211002200330044005500SE +/- 3.58, N = 3SE +/- 1.33, N = 3SE +/- 1.69, N = 3SE +/- 0.80, N = 3SE +/- 2.98, N = 3SE +/- 1.30, N = 3SE +/- 3.31, N = 3SE +/- 0.85, N = 3SE +/- 7.02, N = 3SE +/- 3.88, N = 3SE +/- 13.87, N = 3SE +/- 0.26, N = 3SE +/- 0.83, N = 3SE +/- 1.00, N = 34425.924429.475238.764293.874561.195226.754497.774429.194290.854421.414311.064430.724487.904499.501. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500Min: 4421.28 / Avg: 4425.91 / Max: 4432.96Min: 4426.94 / Avg: 4429.47 / Max: 4431.46Min: 5235.4 / Avg: 5238.76 / Max: 5240.69Min: 4292.82 / Avg: 4293.87 / Max: 4295.45Min: 4555.36 / Avg: 4561.19 / Max: 4565.19Min: 5224.38 / Avg: 5226.75 / Max: 5228.88Min: 4492.53 / Avg: 4497.77 / Max: 4503.89Min: 4427.63 / Avg: 4429.19 / Max: 4430.55Min: 4276.91 / Avg: 4290.85 / Max: 4299.27Min: 4413.66 / Avg: 4421.41 / Max: 4425.33Min: 4293.42 / Avg: 4311.06 / Max: 4338.43Min: 4430.21 / Avg: 4430.72 / Max: 4431.05Min: 4486.88 / Avg: 4487.9 / Max: 4489.54Min: 4497.86 / Avg: 4499.5 / Max: 4501.31. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280160240320400SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.37, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.04, N = 3296.91297.71351.99287.93306.62351.63302.25297.81288.62297.10288.70297.65302.12302.141. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300Min: 296.81 / Avg: 296.91 / Max: 296.96Min: 297.66 / Avg: 297.7 / Max: 297.77Min: 351.85 / Avg: 351.99 / Max: 352.11Min: 287.77 / Avg: 287.93 / Max: 288.1Min: 305.88 / Avg: 306.62 / Max: 307Min: 351.56 / Avg: 351.63 / Max: 351.71Min: 302.19 / Avg: 302.25 / Max: 302.32Min: 297.64 / Avg: 297.81 / Max: 297.92Min: 288.49 / Avg: 288.62 / Max: 288.69Min: 297.02 / Avg: 297.1 / Max: 297.2Min: 288.49 / Avg: 288.7 / Max: 288.83Min: 297.5 / Avg: 297.65 / Max: 297.86Min: 301.76 / Avg: 302.12 / Max: 302.35Min: 302.1 / Avg: 302.14 / Max: 302.211. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

MBW

This is a basic/simple memory (RAM) bandwidth benchmark for memory copy operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 8192 MiBEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KSE +/- 36.28, N = 3SE +/- 4.94, N = 3SE +/- 87.56, N = 3SE +/- 24.53, N = 3SE +/- 1.29, N = 3SE +/- 83.23, N = 3SE +/- 2.47, N = 3SE +/- 85.10, N = 3SE +/- 23.45, N = 3SE +/- 33.58, N = 3SE +/- 60.36, N = 3SE +/- 93.82, N = 3SE +/- 67.71, N = 315503.0515666.7015482.7415641.0914958.1915621.6415616.9015482.7115459.1615523.1415480.2915510.9215599.901. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 8192 MiBEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KMin: 15458.28 / Avg: 15503.05 / Max: 15574.89Min: 15657.32 / Avg: 15666.7 / Max: 15674.1Min: 15323.81 / Avg: 15482.73 / Max: 15625.9Min: 15608.52 / Avg: 15641.09 / Max: 15689.15Min: 14955.9 / Avg: 14958.19 / Max: 14960.35Min: 15473.05 / Avg: 15621.64 / Max: 15760.91Min: 15613.31 / Avg: 15616.9 / Max: 15621.62Min: 15312.58 / Avg: 15482.71 / Max: 15571.59Min: 15413.52 / Avg: 15459.16 / Max: 15491.31Min: 15473.92 / Avg: 15523.14 / Max: 15587.31Min: 15391.63 / Avg: 15480.29 / Max: 15595.56Min: 15344.4 / Avg: 15510.92 / Max: 15669.08Min: 15488.47 / Avg: 15599.9 / Max: 15722.261. (CC) gcc options: -O3 -march=native

Botan

OpenBenchmarking.orgMiB/s Per Watt, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.6751.352.0252.73.3751.931.832.832.882.672.092.611.822.982.163.002.562.651.83

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3117.99118.29139.83114.47121.92139.71120.06118.23114.69118.32114.59117.88119.99120.001. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 117.81 / Avg: 117.99 / Max: 118.19Min: 118.22 / Avg: 118.29 / Max: 118.36Min: 139.8 / Avg: 139.83 / Max: 139.86Min: 114.34 / Avg: 114.47 / Max: 114.63Min: 121.89 / Avg: 121.92 / Max: 121.94Min: 139.63 / Avg: 139.71 / Max: 139.74Min: 119.97 / Avg: 120.06 / Max: 120.12Min: 118.06 / Avg: 118.23 / Max: 118.33Min: 114.63 / Avg: 114.69 / Max: 114.8Min: 118.29 / Avg: 118.32 / Max: 118.36Min: 114.51 / Avg: 114.59 / Max: 114.64Min: 117.32 / Avg: 117.88 / Max: 118.21Min: 119.95 / Avg: 119.99 / Max: 120.04Min: 119.99 / Avg: 119.99 / Max: 120.011. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

MBW

This is a basic/simple memory (RAM) bandwidth benchmark for memory copy operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiBEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 27.37, N = 3SE +/- 5.81, N = 3SE +/- 16.74, N = 3SE +/- 2.76, N = 3SE +/- 3.26, N = 3SE +/- 16.71, N = 3SE +/- 4.98, N = 3SE +/- 6.09, N = 3SE +/- 10.51, N = 3SE +/- 7.74, N = 3SE +/- 19.18, N = 3SE +/- 18.97, N = 3SE +/- 18.50, N = 38963.649215.248945.249117.758872.569078.889073.578970.779022.458983.768995.859012.119048.741. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 8192 MiBEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770216003200480064008000Min: 8910.42 / Avg: 8963.64 / Max: 9001.37Min: 9203.97 / Avg: 9215.24 / Max: 9223.37Min: 8912.98 / Avg: 8945.24 / Max: 8969.13Min: 9112.63 / Avg: 9117.75 / Max: 9122.1Min: 8866.67 / Avg: 8872.56 / Max: 8877.91Min: 9045.61 / Avg: 9078.88 / Max: 9098.27Min: 9065.01 / Avg: 9073.56 / Max: 9082.25Min: 8960.57 / Avg: 8970.77 / Max: 8981.63Min: 9010.61 / Avg: 9022.45 / Max: 9043.42Min: 8971.61 / Avg: 8983.76 / Max: 8998.15Min: 8971.17 / Avg: 8995.85 / Max: 9033.63Min: 8974.68 / Avg: 9012.11 / Max: 9036.23Min: 9023.71 / Avg: 9048.74 / Max: 9084.851. (CC) gcc options: -O3 -march=native

Crypto++

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022468104.524.266.506.836.264.766.134.317.015.147.095.986.184.29

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770236912157.987.5711.4412.0311.018.4310.787.5812.289.0012.3910.6310.847.54

OpenBenchmarking.orgMiB/second Per Watt, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022040608010061.0857.1887.2491.5983.9464.1481.9058.1293.3668.5094.0781.2082.6957.63

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770270140210280350SE +/- 0.93, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.25, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 3292.60294.27343.61285.25302.93342.93298.71293.81286.18293.88286.19294.44298.49298.731. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Unkeyed AlgorithmsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300Min: 290.74 / Avg: 292.6 / Max: 293.53Min: 294.13 / Avg: 294.27 / Max: 294.49Min: 343.56 / Avg: 343.61 / Max: 343.68Min: 284.78 / Avg: 285.25 / Max: 285.61Min: 302.75 / Avg: 302.93 / Max: 303.14Min: 342.6 / Avg: 342.93 / Max: 343.11Min: 298.57 / Avg: 298.71 / Max: 298.93Min: 293.61 / Avg: 293.81 / Max: 294.16Min: 286.01 / Avg: 286.18 / Max: 286.52Min: 293.7 / Avg: 293.88 / Max: 294.04Min: 285.95 / Avg: 286.19 / Max: 286.43Min: 294.21 / Avg: 294.44 / Max: 294.59Min: 298.33 / Avg: 298.49 / Max: 298.7Min: 298.7 / Avg: 298.73 / Max: 298.751. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702140280420560700SE +/- 0.31, N = 3SE +/- 0.27, N = 3SE +/- 0.29, N = 3SE +/- 0.21, N = 3SE +/- 0.77, N = 3SE +/- 0.14, N = 3SE +/- 0.31, N = 3SE +/- 0.63, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.59, N = 3SE +/- 0.13, N = 3SE +/- 0.56, N = 3SE +/- 0.06, N = 3529.60531.14627.44513.60546.72628.21539.17529.62514.85530.80513.65530.36538.09539.451. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Keyed AlgorithmsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702110220330440550Min: 528.99 / Avg: 529.6 / Max: 530.03Min: 530.69 / Avg: 531.14 / Max: 531.61Min: 627.02 / Avg: 627.44 / Max: 627.99Min: 513.18 / Avg: 513.6 / Max: 513.82Min: 545.3 / Avg: 546.72 / Max: 547.95Min: 628.01 / Avg: 628.21 / Max: 628.49Min: 538.79 / Avg: 539.17 / Max: 539.79Min: 528.75 / Avg: 529.62 / Max: 530.84Min: 514.7 / Avg: 514.85 / Max: 514.94Min: 530.54 / Avg: 530.8 / Max: 530.93Min: 512.6 / Avg: 513.65 / Max: 514.65Min: 530.22 / Avg: 530.36 / Max: 530.61Min: 537.38 / Avg: 538.09 / Max: 539.19Min: 539.37 / Avg: 539.45 / Max: 539.561. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770210002000300040005000SE +/- 3.12, N = 3SE +/- 3.97, N = 3SE +/- 2.49, N = 3SE +/- 2.72, N = 3SE +/- 5.67, N = 3SE +/- 3.14, N = 3SE +/- 4.11, N = 3SE +/- 2.07, N = 3SE +/- 1.24, N = 3SE +/- 2.54, N = 3SE +/- 5.48, N = 3SE +/- 1.09, N = 3SE +/- 2.96, N = 3SE +/- 5.35, N = 34072.764089.124835.023949.004207.914834.054139.984091.783965.034085.533949.444086.084151.294152.601. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe
OpenBenchmarking.orgMiB/second, More Is BetterCrypto++ 8.2Test: Integer + Elliptic Curve Public Key AlgorithmsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77028001600240032004000Min: 4068.43 / Avg: 4072.76 / Max: 4078.81Min: 4081.58 / Avg: 4089.12 / Max: 4095.03Min: 4830.71 / Avg: 4835.02 / Max: 4839.34Min: 3943.6 / Avg: 3949 / Max: 3952.3Min: 4199.27 / Avg: 4207.91 / Max: 4218.6Min: 4828.11 / Avg: 4834.05 / Max: 4838.82Min: 4132.23 / Avg: 4139.98 / Max: 4146.24Min: 4087.91 / Avg: 4091.78 / Max: 4095.01Min: 3963.31 / Avg: 3965.03 / Max: 3967.43Min: 4080.99 / Avg: 4085.53 / Max: 4089.76Min: 3939.83 / Avg: 3949.44 / Max: 3958.81Min: 4084.12 / Avg: 4086.08 / Max: 4087.91Min: 4145.43 / Avg: 4151.29 / Max: 4154.96Min: 4142.26 / Avg: 4152.6 / Max: 4160.141. (CXX) g++ options: -g2 -O3 -fPIC -pthread -pipe

ASKAP

OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022040608010093.6389.4470.1972.91108.4617.31108.4992.7872.53100.0558.97103.76109.7896.86

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10KSE +/- 81.97, N = 4SE +/- 63.04, N = 4SE +/- 35.30, N = 4SE +/- 0.00, N = 4SE +/- 67.99, N = 4SE +/- 0.00, N = 4SE +/- 79.54, N = 4SE +/- 0.00, N = 4SE +/- 17.38, N = 4SE +/- 77.48, N = 4SE +/- 7.61, N = 4SE +/- 57.68, N = 5SE +/- 72.46, N = 4SE +/- 0.00, N = 49427.178257.474035.114294.456658.482113.146617.909509.144004.088454.702840.135503.596379.889509.141. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770217003400510068008500Min: 9181.24 / Avg: 9427.17 / Max: 9509.14Min: 8068.36 / Avg: 8257.47 / Max: 8320.5Min: 3973.97 / Avg: 4035.11 / Max: 4096.25Min: 4294.45 / Avg: 4294.45 / Max: 4294.45Min: 6494.05 / Avg: 6658.48 / Max: 6827.08Min: 2113.14 / Avg: 2113.14 / Max: 2113.14Min: 6494.05 / Avg: 6617.9 / Max: 6827.08Min: 9509.14 / Avg: 9509.14 / Max: 9509.14Min: 3973.97 / Avg: 4004.08 / Max: 4034.18Min: 8320.5 / Avg: 8454.7 / Max: 8588.9Min: 2832.51 / Avg: 2840.13 / Max: 2862.97Min: 5325.12 / Avg: 5503.59 / Max: 5665.02Min: 6192 / Avg: 6379.88 / Max: 6494.05Min: 9509.14 / Avg: 9509.14 / Max: 9509.141. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770215003000450060007500SE +/- 40.59, N = 4SE +/- 38.66, N = 4SE +/- 30.11, N = 2SE +/- 10.27, N = 4SE +/- 0.00, N = 4SE +/- 3.57, N = 4SE +/- 0.00, N = 4SE +/- 42.67, N = 4SE +/- 10.02, N = 4SE +/- 36.86, N = 4SE +/- 6.46, N = 4SE +/- 37.73, N = 3SE +/- 35.55, N = 4SE +/- 47.34, N = 46615.816455.404004.083317.935788.171406.935788.176699.073257.046302.572616.815509.305726.607148.771. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770212002400360048006000Min: 6494.05 / Avg: 6615.81 / Max: 6656.4Min: 6339.43 / Avg: 6455.4 / Max: 6494.05Min: 3973.97 / Avg: 4004.08 / Max: 4034.18Min: 3287.11 / Avg: 3317.93 / Max: 3328.2Min: 5788.17 / Avg: 5788.17 / Max: 5788.17Min: 1401.35 / Avg: 1406.93 / Max: 1416.26Min: 5788.17 / Avg: 5788.17 / Max: 5788.17Min: 6656.4 / Avg: 6699.07 / Max: 6827.08Min: 3247.02 / Avg: 3257.04 / Max: 3287.11Min: 6192 / Avg: 6302.57 / Max: 6339.43Min: 2610.35 / Avg: 2616.81 / Max: 2636.2Min: 5433.8 / Avg: 5509.27 / Max: 5547Min: 5665.02 / Avg: 5726.6 / Max: 5788.17Min: 7006.74 / Avg: 7148.77 / Max: 7196.111. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260K120K180K240K300KSE +/- 894.75, N = 3SE +/- 288.04, N = 3SE +/- 313.91, N = 3SE +/- 190.42, N = 3SE +/- 558.99, N = 3SE +/- 249.88, N = 3SE +/- 419.38, N = 3SE +/- 108.98, N = 3SE +/- 453.51, N = 3SE +/- 84.48, N = 3SE +/- 192.03, N = 3SE +/- 315.33, N = 3SE +/- 226.28, N = 317124256955905881761481090691713622701406965522974745941951371385752649081. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250K100K150K200K250KMin: 169527 / Avg: 171242 / Max: 172542Min: 56532 / Avg: 56954.67 / Max: 57505Min: 90180 / Avg: 90587.67 / Max: 91205Min: 175784 / Avg: 176148 / Max: 176427Min: 108136 / Avg: 109069.33 / Max: 110069Min: 170978 / Avg: 171362 / Max: 171831Min: 269353 / Avg: 270139.67 / Max: 270785Min: 69500 / Avg: 69654.67 / Max: 69865Min: 229189 / Avg: 229746.67 / Max: 230645Min: 45801 / Avg: 45941.33 / Max: 46093Min: 94939 / Avg: 95137 / Max: 95521Min: 138164 / Avg: 138575.33 / Max: 139195Min: 264563 / Avg: 264907.67 / Max: 2653341. (CXX) g++ options: -pipe -lpthread

JPEG XL

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 5EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P20406080100SE +/- 0.21, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 376.1863.5167.2980.0573.8379.591. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 5EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P1530456075Min: 75.81 / Avg: 76.18 / Max: 76.52Min: 63.47 / Avg: 63.51 / Max: 63.54Min: 67.24 / Avg: 67.29 / Max: 67.35Min: 79.94 / Avg: 80.05 / Max: 80.11Min: 73.58 / Avg: 73.83 / Max: 73.98Min: 79.43 / Avg: 79.59 / Max: 79.841. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 7EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.709.789.0810.0910.6910.021. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 7EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P3691215Min: 9.68 / Avg: 9.7 / Max: 9.71Min: 9.77 / Avg: 9.78 / Max: 9.79Min: 9.06 / Avg: 9.08 / Max: 9.09Min: 10.08 / Avg: 10.09 / Max: 10.09Min: 10.68 / Avg: 10.69 / Max: 10.7Min: 10.01 / Avg: 10.02 / Max: 10.031. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 8EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P0.17780.35560.53340.71120.889SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.690.790.660.710.790.691. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: PNG - Encode Speed: 8EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P246810Min: 0.68 / Avg: 0.69 / Max: 0.69Min: 0.78 / Avg: 0.79 / Max: 0.79Min: 0.66 / Avg: 0.66 / Max: 0.66Min: 0.7 / Avg: 0.71 / Max: 0.71Min: 0.79 / Avg: 0.79 / Max: 0.79Min: 0.69 / Avg: 0.69 / Max: 0.691. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 5EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F520.2610.5220.7831.0441.3050.741.021.161.110.73

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 7EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F520.26550.5310.79651.0621.32750.761.041.181.120.75

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 8EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F520.12380.24760.37140.49520.6190.360.530.550.540.37

JPEG XL Decoding

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: 1EPYC 7532EPYC 7F32EPYC 7282EPYC 75420.16650.3330.49950.6660.83250.470.690.740.68

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: AllEPYC 7532EPYC 7F32EPYC 7282EPYC 75420.6751.352.0252.73.3751.652.173.002.34

JPEG XL

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 5EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P1428425670SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.18, N = 3SE +/- 0.17, N = 354.9760.5753.8458.6860.2558.591. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 5EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P1224364860Min: 54.84 / Avg: 54.97 / Max: 55.11Min: 60.37 / Avg: 60.57 / Max: 60.77Min: 53.64 / Avg: 53.84 / Max: 54.15Min: 58.62 / Avg: 58.68 / Max: 58.75Min: 59.93 / Avg: 60.25 / Max: 60.57Min: 58.4 / Avg: 58.59 / Max: 58.931. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 7EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P1326395265SE +/- 0.12, N = 3SE +/- 0.15, N = 4SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.24, N = 4SE +/- 0.18, N = 354.7360.2553.7558.5960.1258.621. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 7EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P1224364860Min: 54.6 / Avg: 54.73 / Max: 54.97Min: 59.9 / Avg: 60.25 / Max: 60.56Min: 53.53 / Avg: 53.75 / Max: 53.97Min: 58.56 / Avg: 58.59 / Max: 58.65Min: 59.67 / Avg: 60.12 / Max: 60.74Min: 58.33 / Avg: 58.62 / Max: 58.951. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 8EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P612182430SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.04, N = 5SE +/- 0.03, N = 324.0627.4423.0525.2327.5925.031. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL 0.3.1Input: JPEG - Encode Speed: 8EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502P612182430Min: 24.02 / Avg: 24.06 / Max: 24.15Min: 27.38 / Avg: 27.44 / Max: 27.47Min: 22.99 / Avg: 23.05 / Max: 23.11Min: 25.13 / Avg: 25.23 / Max: 25.3Min: 27.44 / Avg: 27.59 / Max: 27.67Min: 24.98 / Avg: 25.03 / Max: 25.071. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie -pthread -ldl

JPEG XL Decoding

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: 1EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52918273645SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 332.6938.4232.1634.2237.94
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: 1EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52816243240Min: 32.59 / Avg: 32.69 / Max: 32.77Min: 38.34 / Avg: 38.42 / Max: 38.47Min: 32.13 / Avg: 32.16 / Max: 32.2Min: 34.2 / Avg: 34.22 / Max: 34.24Min: 37.88 / Avg: 37.94 / Max: 37.97

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: AllEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F5250100150200250SE +/- 0.41, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.90, N = 3SE +/- 0.29, N = 3171.73183.95197.76188.06207.63
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding 0.3.1CPU Threads: AllEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F524080120160200Min: 171 / Avg: 171.73 / Max: 172.4Min: 183.83 / Avg: 183.95 / Max: 184.04Min: 197.65 / Avg: 197.76 / Max: 197.84Min: 186.86 / Avg: 188.06 / Max: 189.82Min: 207.06 / Avg: 207.63 / Max: 208.05

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025K10K15K20K25KSE +/- 197.00, N = 3SE +/- 215.40, N = 3SE +/- 74.25, N = 4SE +/- 27.68, N = 3SE +/- 162.55, N = 3SE +/- 118.03, N = 3SE +/- 137.10, N = 3SE +/- 121.22, N = 3SE +/- 48.79, N = 9SE +/- 61.33, N = 3SE +/- 28.76, N = 3SE +/- 68.60, N = 3SE +/- 63.07, N = 3SE +/- 112.07, N = 321472.3018311.706907.546587.5711976.9013692.3012067.3020993.106100.1816990.103350.2210427.2012173.7020185.501. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024K8K12K16K20KMin: 21275.3 / Avg: 21472.3 / Max: 21866.3Min: 18096.3 / Avg: 18311.7 / Max: 18742.5Min: 6728.09 / Avg: 6907.54 / Max: 7091.77Min: 6559.89 / Avg: 6587.57 / Max: 6642.93Min: 11662 / Avg: 11976.87 / Max: 12204.4Min: 13456.2 / Avg: 13692.27 / Max: 13810.3Min: 11793.1 / Avg: 12067.3 / Max: 12204.4Min: 20783.8 / Avg: 20993.07 / Max: 21203.7Min: 5788.14 / Avg: 6100.18 / Max: 6247.52Min: 16928.8 / Avg: 16990.13 / Max: 17112.8Min: 3321.46 / Avg: 3350.22 / Max: 3407.74Min: 10290 / Avg: 10427.2 / Max: 10495.8Min: 12110.6 / Avg: 12173.67 / Max: 12299.8Min: 19992 / Avg: 20185.5 / Max: 20380.21. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025K10K15K20K25KSE +/- 111.87, N = 3SE +/- 233.09, N = 3SE +/- 66.13, N = 4SE +/- 69.42, N = 3SE +/- 136.29, N = 3SE +/- 0.00, N = 3SE +/- 101.60, N = 3SE +/- 54.85, N = 9SE +/- 0.00, N = 3SE +/- 50.92, N = 3SE +/- 0.00, N = 3SE +/- 82.20, N = 3SE +/- 197.85, N = 223040.7020585.308265.997358.1912699.5016399.7012698.2020991.707130.8917300.803879.1012204.4013892.5020382.201. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024K8K12K16K20KMin: 22817 / Avg: 23040.73 / Max: 23152.6Min: 20184.3 / Avg: 20585.33 / Max: 20991.7Min: 8199.86 / Avg: 8265.99 / Max: 8464.38Min: 7288.77 / Avg: 7358.19 / Max: 7497.02Min: 12495 / Avg: 12699.47 / Max: 12957.8Min: 16399.7 / Avg: 16399.7 / Max: 16399.7Min: 12495 / Avg: 12698.2 / Max: 12799.8Min: 6786.09 / Avg: 7130.89 / Max: 7288.77Min: 17300.8 / Avg: 17300.8 / Max: 17300.8Min: 3802.84 / Avg: 3879.1 / Max: 3975.69Min: 12204.4 / Avg: 12204.4 / Max: 12204.4Min: 13810.3 / Avg: 13892.5 / Max: 14056.9Min: 20184.3 / Avg: 20382.15 / Max: 205801. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

LibRaw

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.13950.2790.41850.5580.69750.410.530.610.550.400.550.410.620.470.620.550.550.40

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 333.0638.5933.0834.3838.0134.1134.0133.1233.6432.4833.7134.0334.501. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 32.93 / Avg: 33.06 / Max: 33.13Min: 38.57 / Avg: 38.59 / Max: 38.62Min: 32.96 / Avg: 33.08 / Max: 33.27Min: 34.31 / Avg: 34.38 / Max: 34.48Min: 37.96 / Avg: 38.01 / Max: 38.06Min: 33.96 / Avg: 34.11 / Max: 34.27Min: 33.71 / Avg: 34.01 / Max: 34.31Min: 33.04 / Avg: 33.12 / Max: 33.21Min: 33.2 / Avg: 33.64 / Max: 34Min: 32.44 / Avg: 32.48 / Max: 32.51Min: 33.67 / Avg: 33.71 / Max: 33.74Min: 33.89 / Avg: 34.03 / Max: 34.12Min: 34.32 / Avg: 34.5 / Max: 34.631. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Etcpak

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC1EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.27132.54263.81395.08526.35653.485.295.445.043.894.953.465.604.145.654.814.943.48

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC1 + DitheringEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.20382.40763.61144.81526.0193.325.055.144.783.744.653.285.283.925.354.574.703.28

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: ETC2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.73581.47162.20742.94323.6792.023.073.162.912.292.862.003.242.393.272.792.872.00

OpenBenchmarking.orgMpx/s Per Watt, More Is BetterEtcpak 0.7Configuration: DXT1EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770261218243017.3626.6426.3924.7519.8224.2817.0627.1020.4927.4523.7524.4517.07

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC1EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.21, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 3229.73271.32222.36236.91271.07233.51229.86222.62229.46223.03229.56233.39233.351. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC1EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 229.59 / Avg: 229.73 / Max: 229.93Min: 271.12 / Avg: 271.32 / Max: 271.69Min: 221.94 / Avg: 222.36 / Max: 222.64Min: 236.57 / Avg: 236.91 / Max: 237.18Min: 270.72 / Avg: 271.07 / Max: 271.3Min: 233.3 / Avg: 233.51 / Max: 233.66Min: 229.54 / Avg: 229.86 / Max: 230.03Min: 222.56 / Avg: 222.62 / Max: 222.66Min: 229.45 / Avg: 229.46 / Max: 229.47Min: 222.74 / Avg: 223.03 / Max: 223.2Min: 229.4 / Avg: 229.56 / Max: 229.64Min: 233.07 / Avg: 233.39 / Max: 233.6Min: 233.22 / Avg: 233.35 / Max: 233.61. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC1 + DitheringEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3216.79257.01210.72223.49256.42220.76217.45211.03217.50210.93217.50220.71220.801. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC1 + DitheringEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 216.67 / Avg: 216.79 / Max: 216.93Min: 257 / Avg: 257.01 / Max: 257.02Min: 210.52 / Avg: 210.72 / Max: 210.94Min: 223.43 / Avg: 223.49 / Max: 223.58Min: 256.36 / Avg: 256.42 / Max: 256.5Min: 220.68 / Avg: 220.76 / Max: 220.9Min: 217.36 / Avg: 217.45 / Max: 217.6Min: 210.87 / Avg: 211.03 / Max: 211.13Min: 217.48 / Avg: 217.5 / Max: 217.52Min: 210.74 / Avg: 210.93 / Max: 211.03Min: 217.45 / Avg: 217.5 / Max: 217.57Min: 220.68 / Avg: 220.71 / Max: 220.76Min: 220.64 / Avg: 220.8 / Max: 220.911. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3135.01159.79130.88139.25159.60137.34135.24131.15135.14131.18135.18137.09137.281. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: ETC2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 134.91 / Avg: 135.01 / Max: 135.17Min: 159.77 / Avg: 159.79 / Max: 159.8Min: 130.77 / Avg: 130.88 / Max: 131.05Min: 139.03 / Avg: 139.25 / Max: 139.39Min: 159.56 / Avg: 159.6 / Max: 159.65Min: 137.34 / Avg: 137.34 / Max: 137.35Min: 135.2 / Avg: 135.23 / Max: 135.25Min: 131.11 / Avg: 131.15 / Max: 131.19Min: 135.11 / Avg: 135.14 / Max: 135.2Min: 131.16 / Avg: 131.18 / Max: 131.22Min: 135.12 / Avg: 135.18 / Max: 135.24Min: 136.98 / Avg: 137.09 / Max: 137.3Min: 137.26 / Avg: 137.28 / Max: 137.31. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: DXT1EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230060090012001500SE +/- 2.27, N = 7SE +/- 0.24, N = 8SE +/- 2.23, N = 7SE +/- 1.94, N = 7SE +/- 2.05, N = 8SE +/- 1.96, N = 7SE +/- 2.20, N = 7SE +/- 1.94, N = 7SE +/- 1.97, N = 7SE +/- 1.98, N = 7SE +/- 1.74, N = 7SE +/- 1.99, N = 7SE +/- 1.34, N = 71006.921179.30975.221035.231179.021022.481007.22978.851008.24976.591007.951018.971019.211. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread
OpenBenchmarking.orgMpx/s, More Is BetterEtcpak 0.7Configuration: DXT1EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000Min: 999.92 / Avg: 1006.92 / Max: 1013.6Min: 1178.67 / Avg: 1179.3 / Max: 1180.64Min: 970.09 / Avg: 975.22 / Max: 983.12Min: 1031.59 / Avg: 1035.22 / Max: 1042.84Min: 1173.37 / Avg: 1179.02 / Max: 1186.77Min: 1017.68 / Avg: 1022.48 / Max: 1028.23Min: 1002.3 / Avg: 1007.22 / Max: 1013.81Min: 972.88 / Avg: 978.85 / Max: 983.32Min: 1002.46 / Avg: 1008.24 / Max: 1013.3Min: 970.13 / Avg: 976.59 / Max: 981.11Min: 1001.21 / Avg: 1007.95 / Max: 1011.76Min: 1012.27 / Avg: 1018.97 / Max: 1026.96Min: 1017.42 / Avg: 1019.21 / Max: 1027.181. (CXX) g++ options: -O3 -march=native -std=c++11 -lpthread

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250SE +/- 0.11, N = 7SE +/- 0.06, N = 6SE +/- 0.01, N = 4SE +/- 0.06, N = 4SE +/- 0.03, N = 6SE +/- 0.10, N = 5SE +/- 0.06, N = 6SE +/- 0.21, N = 7SE +/- 0.04, N = 4SE +/- 0.08, N = 7SE +/- 0.08, N = 3SE +/- 0.08, N = 5SE +/- 0.04, N = 6SE +/- 0.20, N = 7218.73163.0059.6084.54182.59109.91167.75243.2568.51217.7048.6190.37134.19243.57
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200Min: 218.36 / Avg: 218.73 / Max: 219.13Min: 162.8 / Avg: 163 / Max: 163.17Min: 59.57 / Avg: 59.6 / Max: 59.62Min: 84.42 / Avg: 84.54 / Max: 84.72Min: 182.51 / Avg: 182.59 / Max: 182.66Min: 109.61 / Avg: 109.91 / Max: 110.19Min: 167.52 / Avg: 167.75 / Max: 167.95Min: 242.31 / Avg: 243.25 / Max: 243.89Min: 68.41 / Avg: 68.51 / Max: 68.59Min: 217.39 / Avg: 217.7 / Max: 217.92Min: 48.46 / Avg: 48.61 / Max: 48.73Min: 90.09 / Avg: 90.37 / Max: 90.53Min: 134.04 / Avg: 134.19 / Max: 134.3Min: 242.82 / Avg: 243.57 / Max: 244.37

LeelaChessZero

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024812162012.8611.338.9811.0910.838.6011.3714.5810.3312.829.4411.2911.2614.95

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024812162013.4111.268.9811.0610.308.3911.0914.7510.0512.558.6110.9710.5615.06

Crafty

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterCrafty 25.2Elapsed TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230K60K90K120K150K97701.58150336.84156016.10144587.96114628.80139718.79100655.93159454.66116329.09158031.23139072.47142769.1799938.47

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 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77026001200180024003000SE +/- 26.91, N = 3SE +/- 22.27, N = 9SE +/- 22.57, N = 9SE +/- 3.71, N = 3SE +/- 20.09, N = 3SE +/- 31.35, N = 9SE +/- 23.71, N = 9SE +/- 41.44, N = 9SE +/- 7.54, N = 3SE +/- 27.18, N = 3SE +/- 4.36, N = 3SE +/- 13.76, N = 9SE +/- 20.26, N = 3SE +/- 14.38, N = 32203173510521042166617581559237694619697471253152126991. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025001000150020002500Min: 2155 / Avg: 2203.33 / Max: 2248Min: 1624 / Avg: 1734.78 / Max: 1815Min: 958 / Avg: 1052.44 / Max: 1142Min: 1035 / Avg: 1042.33 / Max: 1047Min: 1626 / Avg: 1665.67 / Max: 1691Min: 1652 / Avg: 1758 / Max: 1943Min: 1445 / Avg: 1559.33 / Max: 1649Min: 2146 / Avg: 2376 / Max: 2558Min: 931 / Avg: 945.67 / Max: 956Min: 1916 / Avg: 1969 / Max: 2006Min: 739 / Avg: 747 / Max: 754Min: 1190 / Avg: 1253.33 / Max: 1313Min: 1492 / Avg: 1521 / Max: 1560Min: 2683 / Avg: 2699.33 / Max: 27281. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77026001200180024003000SE +/- 37.70, N = 9SE +/- 20.90, N = 3SE +/- 16.37, N = 9SE +/- 11.49, N = 9SE +/- 9.84, N = 3SE +/- 17.43, N = 5SE +/- 14.82, N = 9SE +/- 29.49, N = 9SE +/- 11.79, N = 9SE +/- 31.31, N = 9SE +/- 8.88, N = 3SE +/- 12.27, N = 9SE +/- 5.90, N = 3SE +/- 26.03, N = 32311176911041051161716991539240892519276811233143926861. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025001000150020002500Min: 2112 / Avg: 2311.33 / Max: 2527Min: 1729 / Avg: 1769.33 / Max: 1799Min: 1024 / Avg: 1103.67 / Max: 1176Min: 1008 / Avg: 1051.22 / Max: 1107Min: 1597 / Avg: 1616.67 / Max: 1627Min: 1639 / Avg: 1699.2 / Max: 1747Min: 1454 / Avg: 1538.78 / Max: 1593Min: 2310 / Avg: 2408 / Max: 2551Min: 870 / Avg: 924.56 / Max: 993Min: 1773 / Avg: 1926.89 / Max: 2050Min: 663 / Avg: 680.67 / Max: 691Min: 1194 / Avg: 1232.78 / Max: 1292Min: 1432 / Avg: 1439.33 / Max: 1451Min: 2634 / Avg: 2685.67 / Max: 27171. (CXX) g++ options: -flto -pthread

Crafty

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

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022M4M6M8M10MSE +/- 8887.25, N = 3SE +/- 9056.97, N = 3SE +/- 18409.69, N = 3SE +/- 15198.80, N = 3SE +/- 3201.01, N = 3SE +/- 2921.91, N = 3SE +/- 6430.53, N = 3SE +/- 4235.69, N = 3SE +/- 15133.11, N = 3SE +/- 8448.82, N = 3SE +/- 16881.14, N = 3SE +/- 5954.89, N = 3SE +/- 4763.31, N = 365452117939883654769069839457940047680430567539026551351667488164146096787692688076068999481. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.4M2.8M4.2M5.6M7MMin: 6532471 / Avg: 6545211 / Max: 6562315Min: 7924088 / Avg: 7939883 / Max: 7955460Min: 6524614 / Avg: 6547690 / Max: 6584075Min: 6962515 / Avg: 6983944.67 / Max: 7013330Min: 7934298 / Avg: 7940047 / Max: 7945361Min: 6798906 / Avg: 6804305.33 / Max: 6808941Min: 6743220 / Avg: 6753902.33 / Max: 6765446Min: 6543694 / Avg: 6551351.33 / Max: 6558318Min: 6646698 / Avg: 6674880.67 / Max: 6698529Min: 6399116 / Avg: 6414609 / Max: 6428197Min: 6763111 / Avg: 6787691.67 / Max: 6820026Min: 6872751 / Avg: 6880759.67 / Max: 6892398Min: 6892591 / Avg: 6899948 / Max: 69088681. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220M40M60M80M100MSE +/- 708563.50, N = 4SE +/- 79798.13, N = 3SE +/- 236966.05, N = 10SE +/- 88880.09, N = 3SE +/- 416432.88, N = 3SE +/- 436034.06, N = 15SE +/- 1212155.43, N = 4SE +/- 71263.56, N = 3SE +/- 82765.80, N = 3SE +/- 150250.14, N = 3SE +/- 332801.18, N = 6SE +/- 304616.08, N = 3SE +/- 597478.91, N = 35838402619191199312461376415292939043410608646169884746924314443823971321603499432973749488047321009084531. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220M40M60M80M100MMin: 56735799 / Avg: 58384025.75 / Max: 60090226Min: 19064701 / Avg: 19191199.33 / Max: 19338721Min: 30342075 / Avg: 31246136.8 / Max: 32525396Min: 63992140 / Avg: 64152928.67 / Max: 64298968Min: 38530677 / Avg: 39043410.33 / Max: 39868176Min: 57227030 / Avg: 60864616.13 / Max: 63501145Min: 95322228 / Avg: 98847468.5 / Max: 100858323Min: 24195092 / Avg: 24314443.33 / Max: 24441587Min: 82260216 / Avg: 82397132 / Max: 82546157Min: 15735361 / Avg: 16034994 / Max: 16204568Min: 32141990 / Avg: 32973748.83 / Max: 34537511Min: 48420286 / Avg: 48804732.33 / Max: 49406252Min: 99825755 / Avg: 100908453 / Max: 1018877141. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

TSCP

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77027K14K21K28K35K20016.6731397.3929161.1128093.4323615.1227717.3219457.2530478.5723213.2230915.0126682.9427950.9219805.30

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702300K600K900K1200K1500KSE +/- 986.25, N = 11SE +/- 1531.45, N = 12SE +/- 1355.09, N = 11SE +/- 372.53, N = 12SE +/- 791.31, N = 12SE +/- 1366.07, N = 11SE +/- 1511.23, N = 11SE +/- 863.61, N = 11SE +/- 587.46, N = 11SE +/- 504.67, N = 11SE +/- 609.53, N = 11SE +/- 1181.68, N = 11SE +/- 658.02, N = 119994421180682968149103029511781401014342997809969066997461969371997133101332010158581. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200K400K600K800K1000KMin: 990607 / Avg: 999441.64 / Max: 1003238Min: 1166902 / Avg: 1180681.92 / Max: 1187021Min: 956211 / Avg: 968148.55 / Max: 971389Min: 1029491 / Avg: 1030294.92 / Max: 1033354Min: 1174366 / Avg: 1178140.42 / Max: 1181927Min: 1001414 / Avg: 1014342.27 / Max: 1018073Min: 987057 / Avg: 997809 / Max: 1001414Min: 961218 / Avg: 969066.36 / Max: 971389Min: 994184 / Avg: 997460.73 / Max: 999597Min: 966277 / Avg: 969371.36 / Max: 971389Min: 994184 / Avg: 997132.73 / Max: 999597Min: 1003238 / Avg: 1013319.55 / Max: 1016195Min: 1010601 / Avg: 1015858.45 / Max: 10180731. (CC) gcc options: -O3 -march=native

asmFish

OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702140K280K420K560K700K437974.87228242.13394905.45473583.96231626.04513107.47665647.19333068.50586425.64282725.36359777.90390336.76630429.66

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230M60M90M120M150MSE +/- 939330.26, N = 3SE +/- 83002.90, N = 3SE +/- 215295.19, N = 3SE +/- 394553.31, N = 3SE +/- 491333.28, N = 3SE +/- 375595.74, N = 3SE +/- 1202983.30, N = 3SE +/- 91373.33, N = 3SE +/- 373542.05, N = 3SE +/- 57670.67, N = 3SE +/- 230890.74, N = 3SE +/- 395352.82, N = 3SE +/- 688813.01, N = 374422699246757534158384482716262463426657808468412629007731791813105304578210277954211221962581775122849461
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220M40M60M80M100MMin: 72577275 / Avg: 74422699 / Max: 75650094Min: 24510321 / Avg: 24675752.67 / Max: 24770415Min: 41298645 / Avg: 41583844.33 / Max: 42005822Min: 82311763 / Avg: 82716261.67 / Max: 83505284Min: 45648904 / Avg: 46342664.67 / Max: 47292245Min: 77335639 / Avg: 78084684 / Max: 78508351Min: 124900585 / Avg: 126290076.67 / Max: 128685849Min: 31610049 / Avg: 31791813.33 / Max: 31899083Min: 104841596 / Avg: 105304577.67 / Max: 106043845Min: 20912491 / Avg: 21027794.67 / Max: 21087999Min: 41683109 / Avg: 42112219 / Max: 42474524Min: 61945670 / Avg: 62581775.33 / Max: 63306570Min: 122057435 / Avg: 122849461.33 / Max: 124221646

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.02172.04343.06514.08685.1085SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.011, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 34.1173.2671.3451.6773.3231.9953.1284.5411.4093.8630.9852.0142.7414.3731. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 4.09 / Avg: 4.12 / Max: 4.13Min: 3.25 / Avg: 3.27 / Max: 3.28Min: 1.34 / Avg: 1.35 / Max: 1.35Min: 1.68 / Avg: 1.68 / Max: 1.68Min: 3.32 / Avg: 3.32 / Max: 3.33Min: 1.99 / Avg: 2 / Max: 2.01Min: 3.11 / Avg: 3.13 / Max: 3.14Min: 4.53 / Avg: 4.54 / Max: 4.55Min: 1.41 / Avg: 1.41 / Max: 1.41Min: 3.86 / Avg: 3.86 / Max: 3.87Min: 0.98 / Avg: 0.99 / Max: 0.99Min: 2.01 / Avg: 2.01 / Max: 2.02Min: 2.74 / Avg: 2.74 / Max: 2.74Min: 4.37 / Avg: 4.37 / Max: 4.381. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2021Input: water_GMX50_bareEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 76620.00680.01360.02040.02720.0340.020.010.020.020.010.020.03

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021Input: water_GMX50_bareEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 77021.01992.03983.05974.07965.0995SE +/- 0.007, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 33.2561.3481.6753.3172.3133.1404.5331.4074.3711. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2021Input: water_GMX50_bareEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7702246810Min: 3.24 / Avg: 3.26 / Max: 3.27Min: 1.35 / Avg: 1.35 / Max: 1.35Min: 1.67 / Avg: 1.68 / Max: 1.68Min: 3.31 / Avg: 3.32 / Max: 3.33Min: 2.31 / Avg: 2.31 / Max: 2.33Min: 3.14 / Avg: 3.14 / Max: 3.14Min: 4.52 / Avg: 4.53 / Max: 4.54Min: 1.41 / Avg: 1.41 / Max: 1.41Min: 4.37 / Avg: 4.37 / Max: 4.371. (CXX) g++ options: -O3 -pthread

LAMMPS Molecular Dynamics Simulator

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.06530.13060.19590.26120.32650.250.220.100.180.260.140.250.290.150.260.110.180.230.25

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.03150.0630.09450.1260.15750.110.100.060.100.110.060.120.140.080.130.070.090.100.13

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.291, N = 15SE +/- 0.178, N = 15SE +/- 0.003, N = 9SE +/- 0.026, N = 10SE +/- 0.252, N = 15SE +/- 0.028, N = 11SE +/- 0.286, N = 15SE +/- 0.301, N = 15SE +/- 0.008, N = 9SE +/- 0.286, N = 15SE +/- 0.002, N = 8SE +/- 0.024, N = 10SE +/- 0.089, N = 15SE +/- 0.257, N = 1519.32816.2656.4709.68516.56411.52115.68521.7637.58218.5065.23710.37414.03819.9971. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin ProteinEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 18.26 / Avg: 19.33 / Max: 21.71Min: 14.97 / Avg: 16.27 / Max: 17.08Min: 6.45 / Avg: 6.47 / Max: 6.49Min: 9.59 / Avg: 9.69 / Max: 9.82Min: 14.32 / Avg: 16.56 / Max: 18.32Min: 11.4 / Avg: 11.52 / Max: 11.65Min: 13.34 / Avg: 15.69 / Max: 17.35Min: 20.67 / Avg: 21.76 / Max: 24.47Min: 7.55 / Avg: 7.58 / Max: 7.61Min: 17.37 / Avg: 18.51 / Max: 20.7Min: 5.23 / Avg: 5.24 / Max: 5.25Min: 10.19 / Avg: 10.37 / Max: 10.46Min: 13.39 / Avg: 14.04 / Max: 14.46Min: 19.07 / Avg: 20 / Max: 22.211. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430SE +/- 0.029, N = 3SE +/- 0.016, N = 3SE +/- 0.004, N = 3SE +/- 0.021, N = 3SE +/- 0.062, N = 3SE +/- 0.053, N = 3SE +/- 0.059, N = 3SE +/- 0.056, N = 3SE +/- 0.023, N = 3SE +/- 0.112, N = 3SE +/- 0.007, N = 3SE +/- 0.009, N = 3SE +/- 0.010, N = 3SE +/- 0.024, N = 322.44217.5256.7059.88918.15611.75717.61425.2067.73722.0465.40610.60214.90724.8181. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k AtomsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430Min: 22.4 / Avg: 22.44 / Max: 22.5Min: 17.5 / Avg: 17.53 / Max: 17.55Min: 6.7 / Avg: 6.7 / Max: 6.71Min: 9.85 / Avg: 9.89 / Max: 9.92Min: 18.03 / Avg: 18.16 / Max: 18.22Min: 11.66 / Avg: 11.76 / Max: 11.85Min: 17.51 / Avg: 17.61 / Max: 17.71Min: 25.11 / Avg: 25.21 / Max: 25.31Min: 7.71 / Avg: 7.74 / Max: 7.78Min: 21.83 / Avg: 22.05 / Max: 22.19Min: 5.39 / Avg: 5.41 / Max: 5.41Min: 10.58 / Avg: 10.6 / Max: 10.62Min: 14.89 / Avg: 14.91 / Max: 14.93Min: 24.78 / Avg: 24.82 / Max: 24.861. (CXX) g++ options: -O3 -pthread -lm

Apache Cassandra

OpenBenchmarking.orgOp/s Per Watt, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024008001200160020001507.251502.63654.201607.352007.98945.021934.281537.851222.041765.84837.711456.941745.181563.40

Facebook RocksDB

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10K3278.224999.986995.008813.615622.624243.876049.542634.779067.033850.0710036.157541.245925.992844.47

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random FillEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10K3303.484922.996147.228078.175587.323901.695906.762783.458044.803855.328529.546716.575637.773013.23

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770270014002100280035002741.842535.971654.283041.803314.421704.393252.082353.302715.043130.892127.712693.493035.682752.63

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250K100K150K200K250KSE +/- 1690.31, N = 3SE +/- 2221.55, N = 3SE +/- 224.51, N = 3SE +/- 936.51, N = 3SE +/- 2207.46, N = 15SE +/- 1803.14, N = 3SE +/- 2790.65, N = 3SE +/- 2776.27, N = 3SE +/- 388.59, N = 3SE +/- 1126.54, N = 3SE +/- 244.34, N = 3SE +/- 1793.27, N = 3SE +/- 2693.44, N = 3SE +/- 1230.73, N = 3215576211361581181364422365241441232337302193809315523087151734135260200705227564
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770240K80K120K160K200KMin: 212562 / Avg: 215576 / Max: 218409Min: 208632 / Avg: 211361 / Max: 215762Min: 57842 / Avg: 58118.33 / Max: 58563Min: 134572 / Avg: 136442 / Max: 137469Min: 227162 / Avg: 236524.33 / Max: 255532Min: 141196 / Avg: 144123.33 / Max: 147411Min: 228668 / Avg: 233730 / Max: 238297Min: 214454 / Avg: 219380 / Max: 224062Min: 92380 / Avg: 93154.67 / Max: 93596Min: 229505 / Avg: 230871.33 / Max: 233106Min: 51248 / Avg: 51734.33 / Max: 52019Min: 131775 / Avg: 135259.67 / Max: 137737Min: 197409 / Avg: 200705 / Max: 206043Min: 225103 / Avg: 227564.33 / Max: 228816

Facebook RocksDB

This is a benchmark of Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200K400K600K800K1000KSE +/- 1276.30, N = 3SE +/- 4243.12, N = 3SE +/- 3955.87, N = 3SE +/- 3857.18, N = 3SE +/- 7271.02, N = 3SE +/- 7660.92, N = 6SE +/- 6414.70, N = 3SE +/- 1119.16, N = 3SE +/- 198.51, N = 3SE +/- 6981.82, N = 3SE +/- 6504.38, N = 3SE +/- 6451.00, N = 3SE +/- 9904.69, N = 4SE +/- 1138.19, N = 35275418253746245027757968857227566768819864471917058555362426113027562688382244510031. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702150K300K450K600K750KMin: 525500 / Avg: 527540.67 / Max: 529889Min: 820254 / Avg: 825374 / Max: 833795Min: 617818 / Avg: 624501.67 / Max: 631510Min: 771919 / Avg: 775795.67 / Max: 783510Min: 875249 / Avg: 885722.33 / Max: 899696Min: 736622 / Avg: 756676 / Max: 785060Min: 872797 / Avg: 881986 / Max: 894334Min: 445589 / Avg: 447191.33 / Max: 449346Min: 705589 / Avg: 705854.67 / Max: 706243Min: 528910 / Avg: 536242.33 / Max: 550200Min: 598299 / Avg: 611302 / Max: 618139Min: 749121 / Avg: 756268 / Max: 769144Min: 809652 / Avg: 838224 / Max: 852941Min: 449363 / Avg: 451002.67 / Max: 4531901. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200K400K600K800K1000KSE +/- 3532.96, N = 3SE +/- 2994.50, N = 3SE +/- 6471.76, N = 5SE +/- 9036.88, N = 4SE +/- 4338.82, N = 3SE +/- 6124.02, N = 3SE +/- 6323.38, N = 3SE +/- 227.93, N = 3SE +/- 6225.31, N = 6SE +/- 4097.81, N = 3SE +/- 6988.75, N = 3SE +/- 5524.24, N = 9SE +/- 10119.73, N = 3SE +/- 1303.40, N = 35184468068145814077353818602256990778468874428646560555219105458166920448050664515471. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702150K300K450K600K750KMin: 513881 / Avg: 518445.67 / Max: 525399Min: 801674 / Avg: 806813.67 / Max: 812046Min: 569871 / Avg: 581407 / Max: 602220Min: 722999 / Avg: 735381.25 / Max: 761712Min: 851801 / Avg: 860225.33 / Max: 866240Min: 687578 / Avg: 699077 / Max: 708479Min: 835350 / Avg: 846887 / Max: 857142Min: 442493 / Avg: 442864.33 / Max: 443279Min: 638259 / Avg: 656055.33 / Max: 681884Min: 516355 / Avg: 521910 / Max: 529906Min: 533331 / Avg: 545816.33 / Max: 557501Min: 669061 / Avg: 692043.67 / Max: 723569Min: 794424 / Avg: 805065.67 / Max: 825296Min: 449913 / Avg: 451547 / Max: 4541231. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770270K140K210K280K350KSE +/- 768.33, N = 3SE +/- 622.13, N = 3SE +/- 175.05, N = 3SE +/- 203.74, N = 3SE +/- 344.84, N = 3SE +/- 436.15, N = 3SE +/- 219.22, N = 3SE +/- 735.95, N = 3SE +/- 223.01, N = 3SE +/- 749.32, N = 3SE +/- 204.78, N = 3SE +/- 607.97, N = 3SE +/- 166.32, N = 3331791253689100843163535258759172585259353333412131583331300943711632482164272871151. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260K120K180K240K300KMin: 330767 / Avg: 331790.67 / Max: 333295Min: 252478 / Avg: 253689 / Max: 254542Min: 100631 / Avg: 100842.67 / Max: 101190Min: 163163 / Avg: 163535 / Max: 163865Min: 258263 / Avg: 258759 / Max: 259422Min: 171773 / Avg: 172585 / Max: 173267Min: 259071 / Avg: 259353.33 / Max: 259785Min: 332027 / Avg: 333412 / Max: 334536Min: 131216 / Avg: 131583 / Max: 131986Min: 329808 / Avg: 331300 / Max: 332168Min: 93963 / Avg: 94371 / Max: 94606Min: 215402 / Avg: 216427 / Max: 217506Min: 286867 / Avg: 287115 / Max: 2874311. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250M100M150M200M250MSE +/- 1627088.40, N = 3SE +/- 577476.24, N = 3SE +/- 173513.15, N = 3SE +/- 860580.20, N = 3SE +/- 979987.31, N = 3SE +/- 33050.19, N = 3SE +/- 298644.62, N = 3SE +/- 1573991.80, N = 3SE +/- 532212.35, N = 3SE +/- 1503518.94, N = 3SE +/- 468827.18, N = 3SE +/- 731623.27, N = 6SE +/- 701112.41, N = 3SE +/- 2628540.04, N = 31857129821330385504833173574816560147488280938831301393380562147177605692896718509500839206156769720901143914342184698241. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770240M80M120M160M200MMin: 182486843 / Avg: 185712982.33 / Max: 187695198Min: 131941123 / Avg: 133038549.67 / Max: 133898996Min: 48063107 / Avg: 48331734.67 / Max: 48656311Min: 73275140 / Avg: 74816560.33 / Max: 76250454Min: 146389489 / Avg: 147488280.33 / Max: 149443243Min: 93839853 / Avg: 93883129.67 / Max: 93948038Min: 138995330 / Avg: 139338056 / Max: 139933058Min: 211571907 / Avg: 214717760.33 / Max: 216390965Min: 55956147 / Avg: 56928967.33 / Max: 57789497Min: 182409655 / Avg: 185095007.67 / Max: 187609592Min: 38308495 / Avg: 39206155.67 / Max: 39889615Min: 75222240 / Avg: 76972090.17 / Max: 79656987Min: 112997116 / Avg: 114391434.33 / Max: 115217369Min: 213921113 / Avg: 218469824.33 / Max: 2230266321. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

OpenBenchmarking.orgOp/s Per Watt, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029K18K27K36K45K37151.1631284.4114725.0129403.1132038.2014841.4436657.2244350.1023416.2940538.4418803.6924738.5028233.6943072.97

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022M4M6M8M10MSE +/- 69440.76, N = 6SE +/- 32730.71, N = 3SE +/- 10805.74, N = 13SE +/- 26792.49, N = 3SE +/- 55384.00, N = 3SE +/- 8186.58, N = 3SE +/- 24292.51, N = 3SE +/- 27617.12, N = 3SE +/- 24217.23, N = 3SE +/- 44027.23, N = 3SE +/- 1710.84, N = 3SE +/- 25144.15, N = 3SE +/- 43537.48, N = 3SE +/- 47749.78, N = 3713160052143021603673302323955644333012387548606681753832357928718357914706213086237439769582324741. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.4M2.8M4.2M5.6M7MMin: 7048399 / Avg: 7131599.5 / Max: 7477000Min: 5150993 / Avg: 5214301.67 / Max: 5260375Min: 1550246 / Avg: 1603672.85 / Max: 1683898Min: 2989438 / Avg: 3023238.67 / Max: 3076148Min: 5463565 / Avg: 5564432.67 / Max: 5654508Min: 3002918 / Avg: 3012386.67 / Max: 3028689Min: 5439082 / Avg: 5486065.67 / Max: 5520271Min: 8142180 / Avg: 8175382.67 / Max: 8230211Min: 2309505 / Avg: 2357928 / Max: 2383052Min: 7101279 / Avg: 7183579 / Max: 7251844Min: 1467509 / Avg: 1470620.67 / Max: 1473409Min: 3036500 / Avg: 3086236.67 / Max: 3117538Min: 4337144 / Avg: 4397695 / Max: 4482162Min: 8181136 / Avg: 8232473.67 / Max: 83278811. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Swet

OpenBenchmarking.orgOperations Per Second Per Watt, More Is BetterSwet 1.5.16AverageEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023M6M9M12M15M9008595.4413794532.2414256393.9213255560.1210268451.7812873172.879228207.3914898341.7911032151.7414546659.1512821906.8013079157.089098672.56

OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702150M300M450M600M750MSE +/- 1400113.05, N = 3SE +/- 2325206.90, N = 3SE +/- 5177314.46, N = 3SE +/- 8506660.76, N = 3SE +/- 2209414.80, N = 3SE +/- 4052005.46, N = 3SE +/- 5706451.14, N = 3SE +/- 2920022.24, N = 3SE +/- 807930.96, N = 3SE +/- 6957648.38, N = 3SE +/- 3828695.03, N = 3SE +/- 2164773.96, N = 3SE +/- 2469610.76, N = 35826843336863954195718255806122184256851888105973611976022038425811945886056443645618167725985892286000655726024348851. (CC) gcc options: -lm -lpthread -lcurses -lrt
OpenBenchmarking.orgOperations Per Second, More Is BetterSwet 1.5.16AverageEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702120M240M360M480M600MMin: 579892857 / Avg: 582684332.67 / Max: 584271636Min: 682854921 / Avg: 686395419.33 / Max: 690776878Min: 566389680 / Avg: 571825580.33 / Max: 582175830Min: 596416785 / Avg: 612218425.33 / Max: 625580102Min: 680933266 / Avg: 685188809.67 / Max: 688347262Min: 589487365 / Avg: 597361197.33 / Max: 602958932Min: 590802604 / Avg: 602203842.33 / Max: 608351202Min: 575619977 / Avg: 581194588 / Max: 585489333Min: 604227306 / Avg: 605644364.33 / Max: 607025364Min: 547924209 / Avg: 561816771.67 / Max: 569451631Min: 593041731 / Avg: 598589227.67 / Max: 605934155Min: 595836568 / Avg: 600065571.67 / Max: 602983432Min: 597611652 / Avg: 602434885.33 / Max: 6057680481. (CC) gcc options: -lm -lpthread -lcurses -lrt

KeyDB

OpenBenchmarking.orgOps/sec Per Watt, More Is BetterKeyDB 6.0.16EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702160032004800640080004228.114517.765640.607158.886102.854143.955856.344095.787232.184838.077415.886206.075903.163833.65

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770290K180K270K360K450KSE +/- 4280.31, N = 3SE +/- 2791.26, N = 3SE +/- 183.84, N = 3SE +/- 1079.81, N = 3SE +/- 3270.77, N = 3SE +/- 428.23, N = 3SE +/- 430.27, N = 3SE +/- 4382.81, N = 3SE +/- 1365.59, N = 3SE +/- 5135.26, N = 3SE +/- 533.37, N = 3SE +/- 639.41, N = 3SE +/- 3460.73, N = 3SE +/- 4507.61, N = 3386824.54404313.15424600.07420324.96422944.46433091.73413354.59376241.11418080.47394639.23399110.88405905.78415583.96371448.211. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280K160K240K320K400KMin: 379984.9 / Avg: 386824.54 / Max: 394702.8Min: 399536.5 / Avg: 404313.15 / Max: 409203.69Min: 424252.48 / Avg: 424600.07 / Max: 424877.7Min: 419061.55 / Avg: 420324.96 / Max: 422473.5Min: 416505.35 / Avg: 422944.46 / Max: 427162.66Min: 432304.57 / Avg: 433091.73 / Max: 433777.59Min: 412498.94 / Avg: 413354.59 / Max: 413861.79Min: 368183.94 / Avg: 376241.11 / Max: 383259.45Min: 416043.78 / Avg: 418080.47 / Max: 420674.69Min: 385396.59 / Avg: 394639.23 / Max: 403139.08Min: 398044.81 / Avg: 399110.88 / Max: 399676.81Min: 404993.42 / Avg: 405905.78 / Max: 407138Min: 412054.17 / Avg: 415583.96 / Max: 422504.97Min: 362545.96 / Avg: 371448.21 / Max: 377131.411. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Hierarchical INTegration

OpenBenchmarking.orgQUIPs Per Watt, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.5M3M4.5M6M7.5M4210427.876400547.896710210.446161220.614710525.856028009.874208867.426892716.305029503.056962207.105937216.366095028.204189997.27

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770270M140M210M280M350MSE +/- 12833.10, N = 3SE +/- 60046.42, N = 3SE +/- 38644.36, N = 3SE +/- 40543.01, N = 3SE +/- 33906.80, N = 3SE +/- 131222.60, N = 3SE +/- 136985.64, N = 3SE +/- 380619.49, N = 3SE +/- 234513.76, N = 3SE +/- 333820.85, N = 3SE +/- 206566.86, N = 3SE +/- 465752.47, N = 3SE +/- 320354.97, N = 3293437386.11346733990.00283588722.34302406827.18346505619.64297816529.28293169027.15284710986.66293216264.80284332324.15292597759.78297827555.09297478250.431. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260M120M180M240M300MMin: 293416576.95 / Avg: 293437386.11 / Max: 293460802.19Min: 346619184.22 / Avg: 346733990 / Max: 346821912.43Min: 283512887.38 / Avg: 283588722.34 / Max: 283639560.88Min: 302325902.16 / Avg: 302406827.18 / Max: 302451712.79Min: 346439918.8 / Avg: 346505619.64 / Max: 346553015.3Min: 297554997.89 / Avg: 297816529.28 / Max: 297966245.2Min: 292897063.96 / Avg: 293169027.15 / Max: 293333683.01Min: 284060087.32 / Avg: 284710986.66 / Max: 285378285.89Min: 292759126.74 / Avg: 293216264.8 / Max: 293535711.28Min: 283664869.62 / Avg: 284332324.15 / Max: 284679741.15Min: 292233343.29 / Avg: 292597759.78 / Max: 292948520.88Min: 297325728.53 / Avg: 297827555.09 / Max: 298758103.32Min: 296837585.98 / Avg: 297478250.43 / Max: 297805193.981. (CC) gcc options: -O3 -march=native -lm

John The Ripper

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025K10K15K20K25K18839.0315619.657334.1613466.2316435.497625.6117709.0422927.6310769.0520367.129459.2711851.0213762.6822232.88

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702100200300400500337.12273.00144.00255.06317.83156.27316.71439.24213.21379.39177.43235.34260.68420.61

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702900K1800K2700K3600K4500KSE +/- 881.92, N = 3SE +/- 1527.53, N = 3SE +/- 525.27, N = 3SE +/- 2000.00, N = 3SE +/- 2905.93, N = 3SE +/- 1763.83, N = 3SE +/- 2185.81, N = 3SE +/- 3282.95, N = 3SE +/- 881.92, N = 3SE +/- 881.92, N = 3SE +/- 798.79, N = 3SE +/- 2603.42, N = 3SE +/- 1452.97, N = 33557667253400087470013540002798667173166725963334195333107233335286677171751460333212733341830001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702700K1400K2100K2800K3500KMin: 3556000 / Avg: 3557666.67 / Max: 3559000Min: 2531000 / Avg: 2534000 / Max: 2536000Min: 873984 / Avg: 874700.33 / Max: 875724Min: 1352000 / Avg: 1354000 / Max: 1358000Min: 2794000 / Avg: 2798666.67 / Max: 2804000Min: 1729000 / Avg: 1731666.67 / Max: 1735000Min: 2592000 / Avg: 2596333.33 / Max: 2599000Min: 4189000 / Avg: 4195333.33 / Max: 4200000Min: 1071000 / Avg: 1072333.33 / Max: 1074000Min: 3527000 / Avg: 3528666.67 / Max: 3530000Min: 716134 / Avg: 717175 / Max: 718745Min: 1456000 / Avg: 1460333.33 / Max: 1465000Min: 2125000 / Avg: 2127333.33 / Max: 21300001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770216K32K48K64K80KSE +/- 3.00, N = 3SE +/- 9.84, N = 3SE +/- 1.67, N = 3SE +/- 12.17, N = 3SE +/- 17.06, N = 3SE +/- 3.33, N = 3SE +/- 8.37, N = 3SE +/- 4.67, N = 3SE +/- 4.10, N = 3SE +/- 72.25, N = 3SE +/- 2.31, N = 3SE +/- 3.06, N = 3SE +/- 1.00, N = 3SE +/- 15.77, N = 361119428001318321454445962634543703735791622459963108252231433755700331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770213K26K39K52K65KMin: 61113 / Avg: 61119 / Max: 61122Min: 42782 / Avg: 42799.67 / Max: 42816Min: 13181 / Avg: 13182.67 / Max: 13186Min: 21436 / Avg: 21453.67 / Max: 21477Min: 44563 / Avg: 44596 / Max: 44620Min: 26342 / Avg: 26345.33 / Max: 26352Min: 43689 / Avg: 43703.33 / Max: 43718Min: 73574 / Avg: 73578.67 / Max: 73588Min: 16216 / Avg: 16223.67 / Max: 16230Min: 59835 / Avg: 59963.33 / Max: 60085Min: 10821 / Avg: 10825 / Max: 10829Min: 22310 / Avg: 22314 / Max: 22320Min: 33753 / Avg: 33755 / Max: 33756Min: 70003 / Avg: 70033.33 / Max: 700561. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -pthread -lm -lz -ldl -lcrypt -lbz2

ebizzy

This is a test of ebizzy, a program to generate workloads resembling web server workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702600K1200K1800K2400K3000KSE +/- 37169.94, N = 3SE +/- 15669.57, N = 3SE +/- 6904.71, N = 7SE +/- 8956.45, N = 3SE +/- 8453.72, N = 3SE +/- 7117.75, N = 3SE +/- 10663.27, N = 3SE +/- 34594.95, N = 12SE +/- 906.56, N = 3SE +/- 24033.50, N = 3SE +/- 4933.88, N = 3SE +/- 8057.83, N = 3SE +/- 15686.47, N = 3SE +/- 25794.01, N = 15271938819773257768801021990213685014752801947836276264788396524565116232721208466172185427017671. (CC) gcc options: -pthread -lpthread -O3 -march=native
OpenBenchmarking.orgRecords/s, More Is Betterebizzy 0.3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702500K1000K1500K2000K2500KMin: 2645052 / Avg: 2719388 / Max: 2757214Min: 1951917 / Avg: 1977324.67 / Max: 2005917Min: 747575 / Avg: 776880.43 / Max: 796470Min: 1009030 / Avg: 1021990 / Max: 1039179Min: 2127912 / Avg: 2136850 / Max: 2153748Min: 1461618 / Avg: 1475280 / Max: 1485575Min: 1926759 / Avg: 1947835.67 / Max: 1961193Min: 2508914 / Avg: 2762646.92 / Max: 2926207Min: 882270 / Avg: 883965 / Max: 885370Min: 2420178 / Avg: 2456510.67 / Max: 2501931Min: 616705 / Avg: 623272 / Max: 632934Min: 1192406 / Avg: 1208466.33 / Max: 1217652Min: 1691610 / Avg: 1721854 / Max: 1744199Min: 2510210 / Avg: 2701767.07 / Max: 28452481. (CC) gcc options: -pthread -lpthread -O3 -march=native

Redis

Redis is an open-source in-memory data structure store, used as a database, cache, and message broker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702300K600K900K1200K1500KSE +/- 16083.41, N = 14SE +/- 15826.22, N = 15SE +/- 13442.74, N = 3SE +/- 15930.17, N = 3SE +/- 15275.38, N = 3SE +/- 8091.69, N = 3SE +/- 14615.10, N = 4SE +/- 18435.82, N = 15SE +/- 17229.52, N = 15SE +/- 14106.76, N = 3SE +/- 11537.36, N = 4SE +/- 12613.83, N = 5SE +/- 4313.29, N = 3SE +/- 22602.36, N = 121183717.451186674.321315900.461143594.631189270.871336546.211180459.911200527.311156241.741170719.461126925.501173570.001147451.381228831.791. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SETEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200K400K600K800K1000KMin: 1125387.38 / Avg: 1183717.45 / Max: 1363145Min: 1117600.38 / Avg: 1186674.32 / Max: 1295341Min: 1289503 / Avg: 1315900.46 / Max: 1333515.38Min: 1112121 / Avg: 1143594.63 / Max: 1163617.38Min: 1161717.5 / Avg: 1189270.87 / Max: 1214476.5Min: 1320510.25 / Avg: 1336546.21 / Max: 1346451.62Min: 1147582.38 / Avg: 1180459.91 / Max: 1209351.5Min: 1107542.38 / Avg: 1200527.31 / Max: 1349007.38Min: 1088613.12 / Avg: 1156241.74 / Max: 1310666.25Min: 1151024 / Avg: 1170719.46 / Max: 1198062Min: 1105957.12 / Avg: 1126925.5 / Max: 1159285.88Min: 1141950.88 / Avg: 1173570 / Max: 1208467Min: 1143020.75 / Avg: 1147451.38 / Max: 1156076.88Min: 1142730.12 / Avg: 1228831.79 / Max: 1378956.51. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400K800K1200K1600K2000KSE +/- 11135.64, N = 15SE +/- 21214.43, N = 3SE +/- 19118.80, N = 4SE +/- 14367.89, N = 15SE +/- 13573.21, N = 15SE +/- 17849.12, N = 5SE +/- 18437.40, N = 3SE +/- 13883.40, N = 3SE +/- 12289.67, N = 3SE +/- 8071.25, N = 3SE +/- 18495.33, N = 15SE +/- 13583.32, N = 6SE +/- 13170.58, N = 15SE +/- 18256.32, N = 31437534.231481804.001601070.501414840.411508082.411635794.571419600.131417246.671372468.881450496.711421564.351438157.731466557.031482738.921. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: GETEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702300K600K900K1200K1500KMin: 1363529.88 / Avg: 1437534.23 / Max: 1507163.75Min: 1456461.38 / Avg: 1481804 / Max: 1523945.12Min: 1561051.5 / Avg: 1601070.5 / Max: 1650709.75Min: 1349900.62 / Avg: 1414840.41 / Max: 1535877.12Min: 1433897.38 / Avg: 1508082.41 / Max: 1604899.38Min: 1586048 / Avg: 1635794.57 / Max: 1671133.62Min: 1387942.88 / Avg: 1419600.13 / Max: 1451804.88Min: 1397042.75 / Avg: 1417246.67 / Max: 1443844Min: 1350621.38 / Avg: 1372468.88 / Max: 1393145.75Min: 1439056 / Avg: 1450496.71 / Max: 1466079.5Min: 1340662.25 / Avg: 1421564.35 / Max: 1628409.75Min: 1387351.75 / Avg: 1438157.73 / Max: 1487252.88Min: 1388893.38 / Avg: 1466557.03 / Max: 1567157.5Min: 1456664.25 / Avg: 1482738.92 / Max: 1517911.381. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702300K600K900K1200K1500KSE +/- 4227.00, N = 3SE +/- 10288.34, N = 15SE +/- 6374.74, N = 3SE +/- 3774.33, N = 3SE +/- 11205.82, N = 5SE +/- 8000.25, N = 3SE +/- 9569.43, N = 3SE +/- 5890.12, N = 3SE +/- 15424.51, N = 15SE +/- 7701.66, N = 3SE +/- 6585.32, N = 3SE +/- 8436.86, N = 3SE +/- 11072.90, N = 15SE +/- 7054.62, N = 131018402.691059976.321174520.46997652.461067438.771174427.001045486.811039389.171037523.561013049.13991962.081030785.791045821.591031876.331. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: LPUSHEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200K400K600K800K1000KMin: 1013376.56 / Avg: 1018402.69 / Max: 1026802.69Min: 1006359.25 / Avg: 1059976.32 / Max: 1149564.75Min: 1167284.62 / Avg: 1174520.46 / Max: 1187229.25Min: 990504 / Avg: 997652.46 / Max: 1003327Min: 1044932.12 / Avg: 1067438.77 / Max: 1106467.75Min: 1165101.25 / Avg: 1174427 / Max: 1190349.75Min: 1029134.12 / Avg: 1045486.81 / Max: 1062275Min: 1027854.88 / Avg: 1039389.17 / Max: 1047230.12Min: 976187.38 / Avg: 1037523.56 / Max: 1152915Min: 1004120.12 / Avg: 1013049.13 / Max: 1028383.38Min: 978965.06 / Avg: 991962.08 / Max: 1000306.5Min: 1014202.06 / Avg: 1030785.79 / Max: 1041775.19Min: 987478.25 / Avg: 1045821.59 / Max: 1105957.12Min: 1004120.12 / Avg: 1031876.33 / Max: 1093254.621. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702300K600K900K1200K1500KSE +/- 16607.14, N = 15SE +/- 3475.48, N = 3SE +/- 11422.05, N = 10SE +/- 16958.48, N = 15SE +/- 17960.88, N = 3SE +/- 8827.27, N = 3SE +/- 16125.60, N = 15SE +/- 12423.96, N = 3SE +/- 13873.03, N = 3SE +/- 17355.22, N = 15SE +/- 8933.33, N = 3SE +/- 8695.76, N = 3SE +/- 20897.40, N = 15SE +/- 13671.93, N = 151360852.661319402.581510395.931325778.661388206.161514902.301387616.131328786.501285763.371349388.241302498.711345235.041393300.081347163.141. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3
OpenBenchmarking.orgRequests Per Second, More Is BetterRedis 6.0.9Test: SADDEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702300K600K900K1200K1500KMin: 1297029.25 / Avg: 1360852.66 / Max: 1498136.88Min: 1313197.62 / Avg: 1319402.58 / Max: 1325218.12Min: 1461584.38 / Avg: 1510395.93 / Max: 1591637.12Min: 1238091.38 / Avg: 1325778.66 / Max: 1481061.62Min: 1357040.62 / Avg: 1388206.16 / Max: 1419258.62Min: 1500849.5 / Avg: 1514902.33 / Max: 1531183.5Min: 1293828.38 / Avg: 1387616.13 / Max: 1488321.5Min: 1314595.5 / Avg: 1328786.5 / Max: 1353546.25Min: 1260088.75 / Avg: 1285763.37 / Max: 1307710.75Min: 1255650.38 / Avg: 1349388.24 / Max: 1542049.62Min: 1285520.5 / Avg: 1302498.71 / Max: 1315806.38Min: 1327844.88 / Avg: 1345235.04 / Max: 1354117.75Min: 1309088.62 / Avg: 1393300.08 / Max: 1560067.38Min: 1270656.12 / Avg: 1347163.14 / Max: 1487873.751. (CXX) g++ options: -MM -MT -g3 -fvisibility=hidden -O3

Numpy Benchmark

OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022468104.464.236.036.726.054.565.964.226.824.976.255.855.984.18

AI Benchmark Alpha

OpenBenchmarking.orgScore Per Watt, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770281624324027.6827.6221.3235.4533.4917.2033.5627.2732.9031.2029.2132.2332.5326.28

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280160240320400SE +/- 0.24, N = 3SE +/- 0.48, N = 3SE +/- 0.65, N = 3SE +/- 0.76, N = 3SE +/- 0.40, N = 3SE +/- 0.20, N = 3SE +/- 0.31, N = 3SE +/- 0.41, N = 3SE +/- 0.30, N = 3SE +/- 0.35, N = 3SE +/- 0.53, N = 3SE +/- 1.35, N = 3SE +/- 0.30, N = 3SE +/- 0.70, N = 3303.75303.33345.36296.96311.97348.66309.10303.21298.27303.45270.83301.28307.47306.50
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300Min: 303.29 / Avg: 303.75 / Max: 304.08Min: 302.7 / Avg: 303.33 / Max: 304.28Min: 344.12 / Avg: 345.36 / Max: 346.34Min: 295.48 / Avg: 296.96 / Max: 298.01Min: 311.24 / Avg: 311.97 / Max: 312.62Min: 348.4 / Avg: 348.66 / Max: 349.06Min: 308.57 / Avg: 309.1 / Max: 309.64Min: 302.77 / Avg: 303.21 / Max: 304.03Min: 297.91 / Avg: 298.27 / Max: 298.86Min: 302.78 / Avg: 303.45 / Max: 303.96Min: 269.87 / Avg: 270.83 / Max: 271.69Min: 298.67 / Avg: 301.28 / Max: 303.16Min: 307 / Avg: 307.47 / Max: 308.03Min: 305.69 / Avg: 306.5 / Max: 307.9

PHPBench

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15K8074.567829.1411604.8312087.8111143.998583.5910842.617697.4312418.029050.7412522.0010676.0511170.887643.25

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702500100015002000250021252043130115382107145620222122137220491112166019261965

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023006009001200150014031475117313841534115914881219130713481094145915461124

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702800160024003200400035283518247429223641261535103341267933972206311934723089

PHPBench

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

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702130K260K390K520K650KSE +/- 215.70, N = 3SE +/- 4131.15, N = 3SE +/- 7086.33, N = 3SE +/- 973.54, N = 3SE +/- 741.11, N = 3SE +/- 1476.72, N = 3SE +/- 948.15, N = 3SE +/- 1174.39, N = 3SE +/- 2157.92, N = 3SE +/- 142.64, N = 3SE +/- 569.07, N = 3SE +/- 957.34, N = 3SE +/- 4035.67, N = 3SE +/- 1921.47, N = 3521572532957621672511228539060614039531740524751513356523575511906524189542521529609
OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702110K220K330K440K550KMin: 521324 / Avg: 521572.33 / Max: 522002Min: 524902 / Avg: 532956.67 / Max: 538578Min: 613060 / Avg: 621672 / Max: 635726Min: 510027 / Avg: 511228.33 / Max: 513156Min: 538010 / Avg: 539060 / Max: 540491Min: 611253 / Avg: 614039 / Max: 616281Min: 530354 / Avg: 531740.33 / Max: 533554Min: 523197 / Avg: 524750.67 / Max: 527053Min: 510924 / Avg: 513356.33 / Max: 517660Min: 523393 / Avg: 523574.67 / Max: 523856Min: 511300 / Avg: 511905.67 / Max: 513043Min: 522517 / Avg: 524188.67 / Max: 525833Min: 534521 / Avg: 542520.67 / Max: 547450Min: 525962 / Avg: 529608.67 / Max: 532482

Darmstadt Automotive Parallel Heterogeneous Suite

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770251015202510.7811.2516.0318.1215.3211.4315.0410.4818.6712.1218.6716.0115.189.72

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000SE +/- 1.18, N = 3SE +/- 0.79, N = 3SE +/- 1.50, N = 3SE +/- 1.22, N = 3SE +/- 0.71, N = 3SE +/- 0.51, N = 3SE +/- 0.42, N = 3SE +/- 0.53, N = 3SE +/- 0.49, N = 3SE +/- 0.82, N = 3SE +/- 0.40, N = 3SE +/- 0.19, N = 3SE +/- 0.40, N = 3SE +/- 1.46, N = 3963.00949.151039.60928.43983.451062.32974.40966.04919.01956.82876.45943.29962.88954.201. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000Min: 961.75 / Avg: 963 / Max: 965.37Min: 947.85 / Avg: 949.15 / Max: 950.57Min: 1037.63 / Avg: 1039.6 / Max: 1042.55Min: 926.64 / Avg: 928.43 / Max: 930.77Min: 982.72 / Avg: 983.45 / Max: 984.87Min: 1061.29 / Avg: 1062.32 / Max: 1062.84Min: 973.64 / Avg: 974.4 / Max: 975.08Min: 965.08 / Avg: 966.04 / Max: 966.9Min: 918.04 / Avg: 919.01 / Max: 919.66Min: 955.86 / Avg: 956.82 / Max: 958.45Min: 876.05 / Avg: 876.45 / Max: 877.26Min: 942.97 / Avg: 943.29 / Max: 943.63Min: 962.13 / Avg: 962.88 / Max: 963.5Min: 951.37 / Avg: 954.2 / Max: 956.211. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000SE +/- 1.66, N = 3SE +/- 1.89, N = 3SE +/- 2.91, N = 3SE +/- 3.07, N = 3SE +/- 3.23, N = 3SE +/- 5.28, N = 3SE +/- 3.41, N = 3SE +/- 7.17, N = 3SE +/- 3.25, N = 3SE +/- 3.34, N = 3SE +/- 1.85, N = 3SE +/- 1.97, N = 3SE +/- 2.49, N = 3SE +/- 3.26, N = 3903.30895.33967.37858.54908.46773.86898.84897.59864.62895.52861.07898.21899.45861.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000Min: 900.01 / Avg: 903.3 / Max: 905.33Min: 892.13 / Avg: 895.33 / Max: 898.66Min: 961.58 / Avg: 967.37 / Max: 970.7Min: 852.55 / Avg: 858.54 / Max: 862.73Min: 902.91 / Avg: 908.46 / Max: 914.1Min: 763.33 / Avg: 773.86 / Max: 779.83Min: 892.02 / Avg: 898.84 / Max: 902.4Min: 885.88 / Avg: 897.59 / Max: 910.61Min: 858.29 / Avg: 864.62 / Max: 869.06Min: 888.84 / Avg: 895.52 / Max: 899.09Min: 857.36 / Avg: 861.07 / Max: 863.04Min: 894.42 / Avg: 898.21 / Max: 901.07Min: 895.16 / Avg: 899.45 / Max: 903.77Min: 854.83 / Avg: 861.35 / Max: 864.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute Per Watt, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702110220330440550242.20261.72446.35475.56365.15283.96356.46231.24527.48278.09531.57405.87372.78211.71

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77026K12K18K24K30KSE +/- 208.12, N = 5SE +/- 233.41, N = 5SE +/- 296.05, N = 4SE +/- 162.08, N = 13SE +/- 300.22, N = 3SE +/- 205.94, N = 13SE +/- 303.68, N = 3SE +/- 203.19, N = 6SE +/- 251.88, N = 3SE +/- 149.83, N = 11SE +/- 130.62, N = 3SE +/- 278.67, N = 4SE +/- 228.79, N = 5SE +/- 189.69, N = 620036.1920967.4827135.6322574.8021442.0024205.5421272.0419915.0023807.6720634.2023230.1922339.8521653.9119062.921. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025K10K15K20K25KMin: 19216.66 / Avg: 20036.19 / Max: 20355.61Min: 20100.44 / Avg: 20967.48 / Max: 21472.74Min: 26266.6 / Avg: 27135.63 / Max: 27598.01Min: 20715.3 / Avg: 22574.8 / Max: 23030.24Min: 20857.09 / Avg: 21442 / Max: 21851.95Min: 22569.97 / Avg: 24205.54 / Max: 25313.47Min: 20665.78 / Avg: 21272.04 / Max: 21606.83Min: 18959.86 / Avg: 19915 / Max: 20292.89Min: 23305.32 / Avg: 23807.67 / Max: 24091.45Min: 19629.33 / Avg: 20634.2 / Max: 21282.63Min: 22989.39 / Avg: 23230.19 / Max: 23438.32Min: 21516.1 / Avg: 22339.85 / Max: 22741.4Min: 20776.27 / Avg: 21653.91 / Max: 22118.67Min: 18118.9 / Avg: 19062.92 / Max: 19320.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Kripke

OpenBenchmarking.orgThroughput FoM Per Watt, More Is BetterKripke 1.2.4EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400K800K1200K1600K2000K1663875.881673190.411163515.811357552.351635500.08514628.711575405.351604877.741508621.961673028.981349588.101638766.481932212.231423158.29

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250M100M150M200M250MSE +/- 5572341.62, N = 12SE +/- 5452949.69, N = 15SE +/- 1036502.10, N = 15SE +/- 927929.45, N = 9SE +/- 3811837.38, N = 15SE +/- 574642.20, N = 15SE +/- 2175939.87, N = 3SE +/- 2208966.30, N = 15SE +/- 1366026.89, N = 3SE +/- 1883204.11, N = 15SE +/- 1075776.09, N = 4SE +/- 3144064.63, N = 15SE +/- 481377.88, N = 4SE +/- 2966178.44, N = 15230851783216525133129536920112489722187397007714133941767988672157712271212564332113103071008987581628983872098111501996839601. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770240M80M120M160M200MMin: 196106600 / Avg: 230851783.33 / Max: 255760700Min: 170848300 / Avg: 216525133.33 / Max: 232847700Min: 124322100 / Avg: 129536920 / Max: 133041300Min: 107412100 / Avg: 112489722.22 / Max: 117685700Min: 160767700 / Avg: 187397006.67 / Max: 215708300Min: 68795100 / Avg: 71413394 / Max: 74273840Min: 172473100 / Avg: 176798866.67 / Max: 179374000Min: 199388700 / Avg: 215771226.67 / Max: 228027900Min: 119380500 / Avg: 121256433.33 / Max: 123914500Min: 200163900 / Avg: 211310306.67 / Max: 221141000Min: 97675130 / Avg: 100898757.5 / Max: 102097200Min: 148262800 / Avg: 162898386.67 / Max: 178935200Min: 208902500 / Avg: 209811150 / Max: 211002600Min: 179253900 / Avg: 199683960 / Max: 2143080001. (CXX) g++ options: -O3 -fopenmp

NAS Parallel Benchmarks

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7282EPYC 7F52EPYC 7662EPYC 7302PEPYC 7702160320480640800513.34297.67759.34549.08722.71

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7282EPYC 7F52EPYC 7662EPYC 7302PEPYC 770230K60K90K120K150KSE +/- 1.88, N = 3SE +/- 134.14, N = 3SE +/- 193.68, N = 3SE +/- 63.83, N = 3SE +/- 254.66, N = 348665.9653090.10125512.6165066.60123271.001. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 7282EPYC 7F52EPYC 7662EPYC 7302PEPYC 770220K40K60K80K100KMin: 48662.33 / Avg: 48665.96 / Max: 48668.63Min: 52922.84 / Avg: 53090.1 / Max: 53355.38Min: 125128.68 / Avg: 125512.61 / Max: 125749.05Min: 64941.07 / Avg: 65066.6 / Max: 65149.47Min: 122859.63 / Avg: 123271 / Max: 123736.741. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500SE +/- 6.29, N = 9SE +/- 5.08, N = 8SE +/- 0.27, N = 4SE +/- 0.78, N = 6SE +/- 4.60, N = 8SE +/- 0.69, N = 6SE +/- 3.24, N = 8SE +/- 10.02, N = 10SE +/- 0.17, N = 5SE +/- 9.01, N = 9SE +/- 0.60, N = 4SE +/- 0.45, N = 6SE +/- 1.48, N = 7SE +/- 13.78, N = 103310.342318.44704.691155.882375.481407.622368.693967.28867.813252.13578.121191.901806.543908.231. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77027001400210028003500Min: 3286.05 / Avg: 3310.34 / Max: 3336.05Min: 2296.55 / Avg: 2318.44 / Max: 2338.82Min: 703.93 / Avg: 704.69 / Max: 705.19Min: 1152.71 / Avg: 1155.88 / Max: 1157.48Min: 2361.46 / Avg: 2375.48 / Max: 2394.12Min: 1404.92 / Avg: 1407.62 / Max: 1409.44Min: 2349.79 / Avg: 2368.69 / Max: 2379.63Min: 3922.41 / Avg: 3967.28 / Max: 4021.83Min: 867.17 / Avg: 867.81 / Max: 868.12Min: 3210.93 / Avg: 3252.13 / Max: 3290.8Min: 576.33 / Avg: 578.12 / Max: 578.84Min: 1190.44 / Avg: 1191.9 / Max: 1193.16Min: 1799.65 / Avg: 1806.54 / Max: 1812.17Min: 3840.34 / Avg: 3908.23 / Max: 3966.841. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KSE +/- 281.17, N = 3SE +/- 26.26, N = 3SE +/- 31.62, N = 3SE +/- 22.56, N = 3SE +/- 207.08, N = 3SE +/- 82.34, N = 3SE +/- 106.91, N = 3SE +/- 298.03, N = 3SE +/- 24.66, N = 3SE +/- 82.31, N = 3SE +/- 12.95, N = 3SE +/- 3.68, N = 3SE +/- 81.46, N = 3SE +/- 34.41, N = 399557.2386547.2843172.5149617.9279644.8844891.6978846.96103985.9143321.3895079.4133816.4861041.2774421.61102548.951. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KMin: 98994.91 / Avg: 99557.23 / Max: 99842.55Min: 86498.25 / Avg: 86547.28 / Max: 86588.09Min: 43122.35 / Avg: 43172.51 / Max: 43230.93Min: 49572.87 / Avg: 49617.92 / Max: 49642.69Min: 79399.38 / Avg: 79644.88 / Max: 80056.49Min: 44754.21 / Avg: 44891.69 / Max: 45038.95Min: 78710.27 / Avg: 78846.96 / Max: 79057.7Min: 103567 / Avg: 103985.91 / Max: 104562.59Min: 43285.83 / Avg: 43321.38 / Max: 43368.77Min: 94922.44 / Avg: 95079.41 / Max: 95200.87Min: 33792.21 / Avg: 33816.48 / Max: 33836.43Min: 61034.85 / Avg: 61041.27 / Max: 61047.59Min: 74315 / Avg: 74421.61 / Max: 74581.6Min: 102490.22 / Avg: 102548.95 / Max: 102609.371. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7282EPYC 7F52EPYC 7662EPYC 7302PEPYC 770220K40K60K80K100KSE +/- 30.77, N = 4SE +/- 79.26, N = 5SE +/- 539.59, N = 13SE +/- 122.30, N = 5SE +/- 330.58, N = 724658.7241985.3180724.1639529.2179909.291. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 7282EPYC 7F52EPYC 7662EPYC 7302PEPYC 770214K28K42K56K70KMin: 24598.85 / Avg: 24658.72 / Max: 24732.26Min: 41819.98 / Avg: 41985.31 / Max: 42184.66Min: 76668.19 / Avg: 80724.16 / Max: 83637.3Min: 39188.63 / Avg: 39529.21 / Max: 39948.23Min: 78561.87 / Avg: 79909.29 / Max: 80939.531. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7232PEPYC 7302PEPYC 7702400800120016002000SE +/- 1.95, N = 3SE +/- 5.70, N = 3SE +/- 1.26, N = 3SE +/- 5.74, N = 3SE +/- 9.24, N = 3SE +/- 3.36, N = 3SE +/- 11.89, N = 3SE +/- 2.89, N = 3SE +/- 2.26, N = 3SE +/- 4.04, N = 31992.761277.151422.071885.98934.001884.312006.811083.361647.781971.501. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: IS.DEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7232PEPYC 7302PEPYC 770230060090012001500Min: 1988.95 / Avg: 1992.76 / Max: 1995.4Min: 1269.25 / Avg: 1277.15 / Max: 1288.21Min: 1420.09 / Avg: 1422.07 / Max: 1424.4Min: 1876.61 / Avg: 1885.98 / Max: 1896.4Min: 920.59 / Avg: 934 / Max: 951.73Min: 1880.37 / Avg: 1884.31 / Max: 1890.99Min: 1983.12 / Avg: 2006.81 / Max: 2020.44Min: 1077.67 / Avg: 1083.36 / Max: 1087.08Min: 1643.54 / Avg: 1647.78 / Max: 1651.27Min: 1965.15 / Avg: 1971.5 / Max: 19791. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7232PEPYC 7302PEPYC 770211K22K33K44K55KSE +/- 218.93, N = 8SE +/- 20.16, N = 8SE +/- 23.57, N = 6SE +/- 86.13, N = 8SE +/- 80.46, N = 5SE +/- 76.06, N = 8SE +/- 122.43, N = 8SE +/- 37.32, N = 7SE +/- 17.34, N = 8SE +/- 224.56, N = 852022.7645336.8929776.8144205.8021714.6544082.9552245.2330311.9447349.2951795.611. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: MG.CEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7232PEPYC 7302PEPYC 77029K18K27K36K45KMin: 50688.93 / Avg: 52022.76 / Max: 52586.47Min: 45233.69 / Avg: 45336.89 / Max: 45424.87Min: 29684.13 / Avg: 29776.81 / Max: 29837.83Min: 43844.26 / Avg: 44205.8 / Max: 44502.94Min: 21536.77 / Avg: 21714.65 / Max: 22018.31Min: 43772.91 / Avg: 44082.95 / Max: 44328.66Min: 51776.39 / Avg: 52245.23 / Max: 52860.72Min: 30136.45 / Avg: 30311.94 / Max: 30404.24Min: 47278.3 / Avg: 47349.29 / Max: 47425.88Min: 50825.97 / Avg: 51795.61 / Max: 52696.051. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770261218243018.0514.327.5613.4717.208.3016.6324.1811.0720.649.2412.2414.0123.49

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7232PEPYC 7302PEPYC 7702100200300400500395.37260.77373.22436.08153.51440.80419.28297.55398.01399.60

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500SE +/- 8.46, N = 3SE +/- 1.11, N = 3SE +/- 0.03, N = 3SE +/- 1.25, N = 3SE +/- 5.63, N = 3SE +/- 0.05, N = 3SE +/- 4.32, N = 3SE +/- 9.36, N = 3SE +/- 7.84, N = 3SE +/- 6.05, N = 3SE +/- 0.03, N = 3SE +/- 3.28, N = 3SE +/- 1.11, N = 3SE +/- 9.06, N = 33322.992333.54705.211156.262389.761410.592380.274019.09860.013292.84579.181190.481813.293989.791. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.DEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77027001400210028003500Min: 3306.1 / Avg: 3322.99 / Max: 3332.1Min: 2331.32 / Avg: 2333.54 / Max: 2334.74Min: 705.16 / Avg: 705.21 / Max: 705.27Min: 1153.76 / Avg: 1156.26 / Max: 1157.7Min: 2378.57 / Avg: 2389.76 / Max: 2396.35Min: 1410.49 / Avg: 1410.59 / Max: 1410.66Min: 2371.63 / Avg: 2380.27 / Max: 2384.67Min: 4001.46 / Avg: 4019.09 / Max: 4033.33Min: 844.33 / Avg: 860.01 / Max: 868.26Min: 3282.03 / Avg: 3292.84 / Max: 3302.95Min: 579.13 / Avg: 579.18 / Max: 579.23Min: 1183.95 / Avg: 1190.48 / Max: 1194.25Min: 1811.43 / Avg: 1813.29 / Max: 1815.27Min: 3972.06 / Avg: 3989.79 / Max: 4001.861. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7232PEPYC 7302PEPYC 77024K8K12K16K20KSE +/- 25.61, N = 5SE +/- 18.04, N = 4SE +/- 18.07, N = 4SE +/- 30.70, N = 5SE +/- 43.06, N = 3SE +/- 69.28, N = 5SE +/- 27.38, N = 5SE +/- 22.89, N = 4SE +/- 15.81, N = 5SE +/- 15.75, N = 518019.0112350.879697.8314977.297779.4914759.4015230.239844.9515688.5715079.081. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: CG.CEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7232PEPYC 7302PEPYC 77023K6K9K12K15KMin: 17953.88 / Avg: 18019.01 / Max: 18084.24Min: 12309.98 / Avg: 12350.87 / Max: 12395.51Min: 9644.91 / Avg: 9697.83 / Max: 9725.86Min: 14873.66 / Avg: 14977.29 / Max: 15062.42Min: 7733.94 / Avg: 7779.49 / Max: 7865.57Min: 14524.99 / Avg: 14759.4 / Max: 14889.39Min: 15146.06 / Avg: 15230.23 / Max: 15316.01Min: 9819.42 / Avg: 9844.95 / Max: 9913.54Min: 15654.67 / Avg: 15688.57 / Max: 15744.56Min: 15027.23 / Avg: 15079.08 / Max: 15122.171. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7232PEPYC 7302PEPYC 770212K24K36K48K60KSE +/- 17.78, N = 5SE +/- 10.84, N = 4SE +/- 23.10, N = 4SE +/- 17.91, N = 5SE +/- 44.41, N = 3SE +/- 36.50, N = 5SE +/- 50.60, N = 5SE +/- 23.87, N = 3SE +/- 19.15, N = 4SE +/- 40.27, N = 549235.9227284.6929526.9747098.2222117.1746206.3355668.6321822.0637175.2055136.501. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3
OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: FT.CEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7232PEPYC 7302PEPYC 770210K20K30K40K50KMin: 49168.13 / Avg: 49235.92 / Max: 49272.59Min: 27272.21 / Avg: 27284.69 / Max: 27317.11Min: 29462.38 / Avg: 29526.97 / Max: 29571Min: 47048.85 / Avg: 47098.22 / Max: 47153.11Min: 22040.65 / Avg: 22117.17 / Max: 22194.48Min: 46062.44 / Avg: 46206.33 / Max: 46260.89Min: 55491.76 / Avg: 55668.63 / Max: 55799.49Min: 21777.28 / Avg: 21822.06 / Max: 21858.76Min: 37140.1 / Avg: 37175.2 / Max: 37216.01Min: 55002.69 / Avg: 55136.5 / Max: 55211.781. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

PostgreSQL pgbench

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770213K26K39K52K65KSE +/- 539.78, N = 3SE +/- 174.06, N = 3SE +/- 63.04, N = 3SE +/- 309.38, N = 15SE +/- 676.58, N = 3SE +/- 337.73, N = 15SE +/- 406.89, N = 15SE +/- 229.52, N = 3SE +/- 91.21, N = 3SE +/- 709.54, N = 3SE +/- 18.98, N = 3SE +/- 447.90, N = 12SE +/- 387.48, N = 3SE +/- 486.09, N = 358889476152413738586523253715251794609493189656945213343845847662556991. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read WriteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770211K22K33K44K55KMin: 57853.09 / Avg: 58888.92 / Max: 59670.2Min: 47424.2 / Avg: 47614.55 / Max: 47962.14Min: 24025.48 / Avg: 24137.33 / Max: 24243.66Min: 36728.54 / Avg: 38586.13 / Max: 40215.78Min: 51433.97 / Avg: 52325.08 / Max: 53652.51Min: 35001.56 / Avg: 37152.01 / Max: 39986.56Min: 49652.94 / Avg: 51793.61 / Max: 54520.15Min: 60636.54 / Avg: 60949.34 / Max: 61396.7Min: 31714.82 / Avg: 31895.88 / Max: 32005.63Min: 55594.88 / Avg: 56944.6 / Max: 57999Min: 21301.63 / Avg: 21333.63 / Max: 21367.31Min: 36956.38 / Avg: 38457.92 / Max: 41415.74Min: 47265.69 / Avg: 47661.51 / Max: 48436.42Min: 54882.69 / Avg: 55699.33 / Max: 56564.471. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200K400K600K800K1000KSE +/- 492.11, N = 3SE +/- 1146.88, N = 3SE +/- 196.73, N = 3SE +/- 721.66, N = 3SE +/- 684.57, N = 3SE +/- 501.41, N = 3SE +/- 1605.99, N = 3SE +/- 2726.39, N = 3SE +/- 527.65, N = 3SE +/- 2696.01, N = 3SE +/- 258.28, N = 3SE +/- 406.00, N = 3SE +/- 1145.86, N = 3SE +/- 3714.01, N = 38354575783402156173445986549143811846106679155232785108325091842513577814991388974531. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702160K320K480K640K800KMin: 834632.97 / Avg: 835456.65 / Max: 836335.05Min: 576053.18 / Avg: 578339.82 / Max: 579639.5Min: 215250.14 / Avg: 215616.98 / Max: 215923.6Min: 343314.32 / Avg: 344597.63 / Max: 345811.31Min: 654192.39 / Avg: 654914.4 / Max: 656282.85Min: 380600.92 / Avg: 381183.76 / Max: 382181.9Min: 608958.8 / Avg: 610666.61 / Max: 613876.39Min: 911128.88 / Avg: 915522.69 / Max: 920516.11Min: 277469.8 / Avg: 278509.56 / Max: 279185.65Min: 827135.25 / Avg: 832508.89 / Max: 835580.98Min: 183809.92 / Avg: 184251.3 / Max: 184704.38Min: 357317.88 / Avg: 357781.31 / Max: 358590.46Min: 497224.75 / Avg: 499138.43 / Max: 501187.22Min: 891671.21 / Avg: 897453.24 / Max: 904382.541. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770212K24K36K48K60KSE +/- 308.59, N = 3SE +/- 489.37, N = 5SE +/- 32.87, N = 3SE +/- 44.96, N = 3SE +/- 320.52, N = 13SE +/- 92.29, N = 3SE +/- 468.05, N = 3SE +/- 734.82, N = 3SE +/- 98.97, N = 3SE +/- 725.42, N = 3SE +/- 5.29, N = 3SE +/- 306.40, N = 6SE +/- 510.25, N = 4SE +/- 365.68, N = 350381443432054132115466552819345671543182517051444177093031341273521811. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029K18K27K36K45KMin: 49982.78 / Avg: 50381.39 / Max: 50988.76Min: 42733.56 / Avg: 44342.61 / Max: 45416.75Min: 20498.68 / Avg: 20541.36 / Max: 20606Min: 32033.65 / Avg: 32115.45 / Max: 32188.7Min: 46038.91 / Avg: 46655.09 / Max: 50394.39Min: 28026.73 / Avg: 28193.29 / Max: 28345.44Min: 45084.17 / Avg: 45670.73 / Max: 46595.8Min: 53010.6 / Avg: 54318.48 / Max: 55552.89Min: 25002.83 / Avg: 25170.22 / Max: 25345.42Min: 50134.59 / Avg: 51444.21 / Max: 52639.74Min: 17702.56 / Avg: 17709.27 / Max: 17719.71Min: 29631.74 / Avg: 30313.35 / Max: 31648.97Min: 40219.85 / Avg: 41272.74 / Max: 42149.61Min: 51458.66 / Avg: 52181.25 / Max: 52640.411. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200K400K600K800K1000KSE +/- 1360.28, N = 3SE +/- 853.89, N = 3SE +/- 681.51, N = 3SE +/- 804.68, N = 3SE +/- 1178.79, N = 3SE +/- 248.26, N = 3SE +/- 1108.32, N = 3SE +/- 6923.68, N = 3SE +/- 696.35, N = 3SE +/- 3710.21, N = 3SE +/- 518.37, N = 3SE +/- 891.46, N = 3SE +/- 1318.12, N = 3SE +/- 5067.03, N = 37756875875482133453432296557743970386141839397502756777914561698323684495216538999921. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702160K320K480K640K800KMin: 773949.79 / Avg: 775687.15 / Max: 778368.93Min: 585986.61 / Avg: 587547.73 / Max: 588927.93Min: 212208.72 / Avg: 213344.58 / Max: 214564.99Min: 341698.14 / Avg: 343228.63 / Max: 344424.83Min: 654021.41 / Avg: 655774.08 / Max: 658015.96Min: 396660.01 / Avg: 397038.18 / Max: 397505.91Min: 613074.34 / Avg: 614182.67 / Max: 616399.31Min: 926183.25 / Avg: 939750.48 / Max: 948934.04Min: 274390.74 / Avg: 275676.66 / Max: 276782.78Min: 784040.65 / Avg: 791455.71 / Max: 795407.24Min: 168803.67 / Avg: 169832.3 / Max: 170458.78Min: 367104.95 / Avg: 368449.41 / Max: 370135.74Min: 519362.06 / Avg: 521653.42 / Max: 523928.08Min: 889916.01 / Avg: 899992.3 / Max: 905966.241. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702300K600K900K1200K1500KSE +/- 472.72, N = 3SE +/- 2350.83, N = 3SE +/- 2229.96, N = 3SE +/- 1258.02, N = 3SE +/- 577.19, N = 3SE +/- 771.81, N = 3SE +/- 1998.87, N = 3SE +/- 2041.67, N = 3SE +/- 1165.03, N = 3SE +/- 2507.53, N = 3SE +/- 1045.78, N = 3SE +/- 842.53, N = 3SE +/- 607.09, N = 3SE +/- 1936.89, N = 31215056.11197778.91155871.81172021.11162690.91247037.61262530.41209698.01143360.51208480.81041996.81188387.21248284.11212918.2
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200K400K600K800K1000KMin: 1214294.3 / Avg: 1215056.1 / Max: 1215921.9Min: 1194820.8 / Avg: 1197778.87 / Max: 1202422.8Min: 1152601.1 / Avg: 1155871.8 / Max: 1160133Min: 1169540.4 / Avg: 1172021.13 / Max: 1173625.2Min: 1161606.1 / Avg: 1162690.93 / Max: 1163575.1Min: 1245534.1 / Avg: 1247037.63 / Max: 1248092.1Min: 1259246.9 / Avg: 1262530.43 / Max: 1266147.1Min: 1206399.7 / Avg: 1209698.03 / Max: 1213431.9Min: 1141134.6 / Avg: 1143360.47 / Max: 1145070.1Min: 1203466.2 / Avg: 1208480.8 / Max: 1211047.5Min: 1040104.9 / Avg: 1041996.77 / Max: 1043715.1Min: 1187003 / Avg: 1188387.17 / Max: 1189911.5Min: 1247624.2 / Avg: 1248284.1 / Max: 1249496.7Min: 1209097.9 / Avg: 1212918.2 / Max: 1215383.9

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702300K600K900K1200K1500KSE +/- 1733.41, N = 3SE +/- 759.90, N = 3SE +/- 1176.92, N = 3SE +/- 1061.91, N = 3SE +/- 295.02, N = 3SE +/- 2686.24, N = 3SE +/- 702.94, N = 3SE +/- 762.66, N = 3SE +/- 1242.45, N = 3SE +/- 686.09, N = 3SE +/- 1442.60, N = 3SE +/- 1121.87, N = 3SE +/- 2008.07, N = 3SE +/- 628.66, N = 31295588.81281490.51279851.81211354.31206497.81438050.41303437.61294664.51185857.81288738.61113861.31249264.61290897.81308517.2
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702200K400K600K800K1000KMin: 1293258.5 / Avg: 1295588.83 / Max: 1298976.9Min: 1279979.8 / Avg: 1281490.47 / Max: 1282389.9Min: 1277678.1 / Avg: 1279851.77 / Max: 1281720.8Min: 1209909.6 / Avg: 1211354.27 / Max: 1213424.8Min: 1205942.3 / Avg: 1206497.83 / Max: 1206947.8Min: 1433192.9 / Avg: 1438050.37 / Max: 1442466.9Min: 1302037.7 / Avg: 1303437.6 / Max: 1304249.7Min: 1293775.5 / Avg: 1294664.5 / Max: 1296182.4Min: 1183868.7 / Avg: 1185857.83 / Max: 1188142.2Min: 1287797.7 / Avg: 1288738.57 / Max: 1290074Min: 1110976.3 / Avg: 1113861.27 / Max: 1115334.9Min: 1247865.2 / Avg: 1249264.6 / Max: 1251483.2Min: 1287374.1 / Avg: 1290897.83 / Max: 1294328.4Min: 1307504.2 / Avg: 1308517.23 / Max: 1309668.7

BRL-CAD

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

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance MetricEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702140K280K420K560K700K5417753786601206222081504120762325073877926526021553475405581060732190553176616600791. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

Google SynthMark

OpenBenchmarking.orgVoices Per Watt, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702481216209.4914.5914.8413.8310.8913.519.4815.3311.2515.4713.1113.619.49

OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702160320480640800SE +/- 0.46, N = 3SE +/- 0.17, N = 3SE +/- 0.36, N = 3SE +/- 0.70, N = 3SE +/- 0.59, N = 3SE +/- 0.11, N = 3SE +/- 0.57, N = 3SE +/- 0.12, N = 3SE +/- 0.70, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.32, N = 3SE +/- 0.57, N = 3627.06740.58605.83645.87739.72637.38624.73608.05626.57608.61627.74636.43635.921. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast
OpenBenchmarking.orgVoices, More Is BetterGoogle SynthMark 20201109Test: VoiceMark_100EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702130260390520650Min: 626.15 / Avg: 627.06 / Max: 627.62Min: 740.39 / Avg: 740.58 / Max: 740.92Min: 605.12 / Avg: 605.82 / Max: 606.33Min: 644.48 / Avg: 645.87 / Max: 646.66Min: 738.56 / Avg: 739.72 / Max: 740.43Min: 637.17 / Avg: 637.38 / Max: 637.55Min: 623.79 / Avg: 624.73 / Max: 625.77Min: 607.84 / Avg: 608.05 / Max: 608.27Min: 625.29 / Avg: 626.57 / Max: 627.72Min: 608.15 / Avg: 608.61 / Max: 609.07Min: 627.49 / Avg: 627.74 / Max: 627.91Min: 635.86 / Avg: 636.43 / Max: 636.98Min: 634.78 / Avg: 635.92 / Max: 636.531. (CXX) g++ options: -lm -lpthread -std=c++11 -Ofast

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 770210K20K30K40K50KSE +/- 144.16, N = 3SE +/- 117.08, N = 4SE +/- 120.35, N = 3SE +/- 305.20, N = 6SE +/- 165.84, N = 3SE +/- 298.29, N = 3SE +/- 392.90, N = 8SE +/- 140.41, N = 4SE +/- 284.86, N = 11SE +/- 50.21, N = 3SE +/- 469.86, N = 3284011004415246306321952128448446581219837843786445292
OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5Mode: CPUEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 77028K16K24K32K40KMin: 28141 / Avg: 28400.67 / Max: 28639Min: 9719 / Avg: 10044.25 / Max: 10235Min: 15016 / Avg: 15246.33 / Max: 15422Min: 29652 / Avg: 30632 / Max: 31469Min: 19190 / Avg: 19521 / Max: 19705Min: 28095 / Avg: 28448 / Max: 29041Min: 43124 / Avg: 44658.38 / Max: 46027Min: 11788 / Avg: 12198.25 / Max: 12425Min: 36221 / Avg: 37842.73 / Max: 38879Min: 7769 / Avg: 7863.67 / Max: 7940Min: 44695 / Avg: 45292 / Max: 46219

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KSE +/- 58.13, N = 4SE +/- 43.36, N = 4SE +/- 12.34, N = 6SE +/- 15.52, N = 6SE +/- 157.59, N = 4SE +/- 40.17, N = 6SE +/- 131.70, N = 5SE +/- 142.13, N = 3SE +/- 38.61, N = 6SE +/- 60.62, N = 4SE +/- 11.79, N = 6SE +/- 8.39, N = 6SE +/- 9.05, N = 6SE +/- 146.93, N = 1214015.6613938.258720.886954.8013099.626839.1712840.6414603.336871.9313435.306757.997954.158024.3714612.211. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KMin: 13885.31 / Avg: 14015.66 / Max: 14137.76Min: 13879.03 / Avg: 13938.25 / Max: 14067.14Min: 8666.52 / Avg: 8720.88 / Max: 8753.04Min: 6907.71 / Avg: 6954.8 / Max: 7005.82Min: 12632.05 / Avg: 13099.62 / Max: 13300.62Min: 6733.72 / Avg: 6839.17 / Max: 6954.28Min: 12361.8 / Avg: 12840.64 / Max: 13103.71Min: 14340.08 / Avg: 14603.33 / Max: 14827.83Min: 6730.47 / Avg: 6871.93 / Max: 6957.51Min: 13262.26 / Avg: 13435.3 / Max: 13545.43Min: 6718.89 / Avg: 6757.99 / Max: 6804.97Min: 7941.34 / Avg: 7954.15 / Max: 7995.56Min: 7986.3 / Avg: 8024.37 / Max: 8053.74Min: 13024.64 / Avg: 14612.21 / Max: 14895.691. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250144185196174175150120203132217180168120

NAMD

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.61321.22641.83962.45283.066SE +/- 0.00034, N = 3SE +/- 0.00074, N = 3SE +/- 0.00063, N = 3SE +/- 0.00125, N = 3SE +/- 0.00071, N = 3SE +/- 0.00173, N = 3SE +/- 0.00041, N = 3SE +/- 0.00014, N = 3SE +/- 0.00045, N = 3SE +/- 0.00037, N = 3SE +/- 0.00080, N = 3SE +/- 0.00048, N = 3SE +/- 0.00125, N = 3SE +/- 0.00053, N = 30.570480.790792.229491.451450.715491.143750.774390.489081.838950.574842.725531.350580.937050.49264
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.79 / Avg: 0.79 / Max: 0.79Min: 2.23 / Avg: 2.23 / Max: 2.23Min: 1.45 / Avg: 1.45 / Max: 1.45Min: 0.71 / Avg: 0.72 / Max: 0.72Min: 1.14 / Avg: 1.14 / Max: 1.15Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.49 / Avg: 0.49 / Max: 0.49Min: 1.84 / Avg: 1.84 / Max: 1.84Min: 0.57 / Avg: 0.57 / Max: 0.58Min: 2.72 / Avg: 2.73 / Max: 2.73Min: 1.35 / Avg: 1.35 / Max: 1.35Min: 0.94 / Avg: 0.94 / Max: 0.94Min: 0.49 / Avg: 0.49 / Max: 0.49

WebP Image Encode

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

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.68331.36662.04992.73323.4165SE +/- 0.003, N = 9SE +/- 0.001, N = 9SE +/- 0.001, N = 10SE +/- 0.002, N = 9SE +/- 0.001, N = 9SE +/- 0.002, N = 10SE +/- 0.003, N = 9SE +/- 0.003, N = 9SE +/- 0.001, N = 9SE +/- 0.002, N = 9SE +/- 0.002, N = 9SE +/- 0.002, N = 9SE +/- 0.002, N = 9SE +/- 0.003, N = 92.9522.9452.4953.0372.8582.5002.8992.9463.0292.9453.0352.9452.9012.9051. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 2.94 / Avg: 2.95 / Max: 2.97Min: 2.94 / Avg: 2.94 / Max: 2.95Min: 2.49 / Avg: 2.49 / Max: 2.5Min: 3.03 / Avg: 3.04 / Max: 3.05Min: 2.85 / Avg: 2.86 / Max: 2.87Min: 2.49 / Avg: 2.5 / Max: 2.51Min: 2.89 / Avg: 2.9 / Max: 2.92Min: 2.94 / Avg: 2.95 / Max: 2.97Min: 3.02 / Avg: 3.03 / Max: 3.03Min: 2.94 / Avg: 2.94 / Max: 2.95Min: 3.03 / Avg: 3.04 / Max: 3.05Min: 2.94 / Avg: 2.94 / Max: 2.95Min: 2.89 / Avg: 2.9 / Max: 2.91Min: 2.89 / Avg: 2.9 / Max: 2.921. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.009, N = 5SE +/- 0.005, N = 5SE +/- 0.010, N = 6SE +/- 0.025, N = 5SE +/- 0.004, N = 5SE +/- 0.003, N = 6SE +/- 0.025, N = 5SE +/- 0.025, N = 5SE +/- 0.009, N = 5SE +/- 0.001, N = 5SE +/- 0.004, N = 5SE +/- 0.009, N = 5SE +/- 0.014, N = 5SE +/- 0.005, N = 59.1459.1407.7459.4818.8617.7399.0149.1549.4199.1269.4149.1519.0149.0031. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 9.13 / Avg: 9.14 / Max: 9.17Min: 9.13 / Avg: 9.14 / Max: 9.15Min: 7.72 / Avg: 7.74 / Max: 7.79Min: 9.43 / Avg: 9.48 / Max: 9.58Min: 8.85 / Avg: 8.86 / Max: 8.87Min: 7.73 / Avg: 7.74 / Max: 7.75Min: 8.98 / Avg: 9.01 / Max: 9.12Min: 9.12 / Avg: 9.15 / Max: 9.25Min: 9.41 / Avg: 9.42 / Max: 9.46Min: 9.12 / Avg: 9.13 / Max: 9.13Min: 9.4 / Avg: 9.41 / Max: 9.42Min: 9.12 / Avg: 9.15 / Max: 9.17Min: 8.99 / Avg: 9.01 / Max: 9.06Min: 8.99 / Avg: 9 / Max: 9.021. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 320.8620.8617.7021.3820.1017.6720.2920.9021.2720.8522.4520.8720.5020.391. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 20.76 / Avg: 20.86 / Max: 20.97Min: 20.71 / Avg: 20.86 / Max: 21.01Min: 17.51 / Avg: 17.7 / Max: 17.84Min: 21.02 / Avg: 21.38 / Max: 21.69Min: 19.77 / Avg: 20.1 / Max: 20.29Min: 17.4 / Avg: 17.67 / Max: 17.81Min: 20.1 / Avg: 20.29 / Max: 20.55Min: 20.76 / Avg: 20.9 / Max: 21.07Min: 21.11 / Avg: 21.27 / Max: 21.58Min: 20.67 / Avg: 20.85 / Max: 20.97Min: 22.41 / Avg: 22.45 / Max: 22.5Min: 20.48 / Avg: 20.87 / Max: 21.12Min: 20.34 / Avg: 20.5 / Max: 20.64Min: 20.19 / Avg: 20.39 / Max: 20.521. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021020304050SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.01, N = 342.9642.9036.4944.3741.6636.4442.3143.1444.2742.8646.3042.8842.3042.291. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645Min: 42.78 / Avg: 42.96 / Max: 43.08Min: 42.83 / Avg: 42.9 / Max: 42.94Min: 36.45 / Avg: 36.49 / Max: 36.52Min: 44.26 / Avg: 44.37 / Max: 44.53Min: 41.62 / Avg: 41.66 / Max: 41.7Min: 36.33 / Avg: 36.44 / Max: 36.56Min: 42.23 / Avg: 42.31 / Max: 42.35Min: 43 / Avg: 43.13 / Max: 43.38Min: 44.18 / Avg: 44.27 / Max: 44.39Min: 42.71 / Avg: 42.86 / Max: 43.03Min: 46.14 / Avg: 46.3 / Max: 46.42Min: 42.75 / Avg: 42.88 / Max: 42.95Min: 42.03 / Avg: 42.3 / Max: 42.64Min: 42.26 / Avg: 42.29 / Max: 42.31. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Pennant

Pennant is an application focused on hydrodynamics on general unstructured meshes in 2D. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021020304050SE +/- 0.014397, N = 5SE +/- 0.037928, N = 3SE +/- 0.019691, N = 3SE +/- 0.043495, N = 4SE +/- 0.007758, N = 4SE +/- 0.026648, N = 4SE +/- 0.054901, N = 6SE +/- 0.292336, N = 3SE +/- 0.095577, N = 5SE +/- 0.039126, N = 3SE +/- 0.036573, N = 3SE +/- 0.019214, N = 3SE +/- 0.058701, N = 610.88576034.58003028.99392014.16482016.13929014.7815706.99532133.8085208.98853845.15460021.95188016.6537507.0339821. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645Min: 10.85 / Avg: 10.89 / Max: 10.92Min: 34.52 / Avg: 34.58 / Max: 34.65Min: 28.96 / Avg: 28.99 / Max: 29.03Min: 14.12 / Avg: 14.16 / Max: 14.3Min: 16.12 / Avg: 16.14 / Max: 16.16Min: 14.73 / Avg: 14.78 / Max: 14.84Min: 6.85 / Avg: 7 / Max: 7.2Min: 33.47 / Avg: 33.81 / Max: 34.39Min: 8.8 / Avg: 8.99 / Max: 9.33Min: 45.1 / Avg: 45.15 / Max: 45.23Min: 21.9 / Avg: 21.95 / Max: 22.02Min: 16.63 / Avg: 16.65 / Max: 16.69Min: 6.86 / Avg: 7.03 / Max: 7.241. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021530456075SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 4SE +/- 0.11, N = 3SE +/- 0.02, N = 4SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 418.0652.7941.6922.2325.8823.0311.8049.1115.3566.4234.0325.8911.941. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021326395265Min: 18.03 / Avg: 18.06 / Max: 18.09Min: 52.75 / Avg: 52.79 / Max: 52.81Min: 41.58 / Avg: 41.69 / Max: 41.79Min: 22.07 / Avg: 22.23 / Max: 22.32Min: 25.85 / Avg: 25.88 / Max: 25.92Min: 22.87 / Avg: 23.03 / Max: 23.23Min: 11.75 / Avg: 11.8 / Max: 11.87Min: 48.99 / Avg: 49.11 / Max: 49.32Min: 15.3 / Avg: 15.35 / Max: 15.39Min: 66.13 / Avg: 66.42 / Max: 66.58Min: 33.93 / Avg: 34.03 / Max: 34.16Min: 25.8 / Avg: 25.89 / Max: 25.96Min: 11.88 / Avg: 11.94 / Max: 121. (CXX) g++ options: -fopenmp -pthread -lmpi_cxx -lmpi

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230K60K90K120K150KSE +/- 322.42, N = 3SE +/- 28.71, N = 3SE +/- 599.00, N = 3SE +/- 63.38, N = 3SE +/- 86.41, N = 3SE +/- 13.80, N = 3SE +/- 76.82, N = 3SE +/- 187.50, N = 3SE +/- 107.22, N = 3SE +/- 194.69, N = 3SE +/- 22.85, N = 3SE +/- 21.22, N = 3SE +/- 193.63, N = 3SE +/- 280.28, N = 345436.648084.7133236.084723.543977.968637.647083.432085.5117060.048507.4160713.080320.561419.935037.4
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230K60K90K120K150KMin: 44937.4 / Avg: 45436.6 / Max: 46039.7Min: 48044.8 / Avg: 48084.67 / Max: 48140.4Min: 132636 / Avg: 133236 / Max: 134434Min: 84636.8 / Avg: 84723.47 / Max: 84846.9Min: 43815.4 / Avg: 43977.87 / Max: 44110.1Min: 68610.2 / Avg: 68637.6 / Max: 68654.2Min: 46946.3 / Avg: 47083.37 / Max: 47212Min: 31772.4 / Avg: 32085.53 / Max: 32420.8Min: 116941 / Avg: 117060 / Max: 117274Min: 48205.1 / Avg: 48507.43 / Max: 48871.1Min: 160685 / Avg: 160712.67 / Max: 160758Min: 80284 / Avg: 80320.5 / Max: 80357.5Min: 61061.3 / Avg: 61419.9 / Max: 61725.8Min: 34603.7 / Avg: 35037.37 / Max: 35561.8

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770240K80K120K160K200KSE +/- 392.20, N = 3SE +/- 69.37, N = 3SE +/- 13.05, N = 3SE +/- 47.75, N = 3SE +/- 72.07, N = 3SE +/- 61.58, N = 3SE +/- 44.27, N = 3SE +/- 61.64, N = 3SE +/- 28.48, N = 3SE +/- 518.49, N = 3SE +/- 20.79, N = 3SE +/- 15.21, N = 3SE +/- 40.77, N = 3SE +/- 118.11, N = 345818.849078.5136023.086277.645118.170154.547911.733024.0120119.050401.8165426.082490.462904.136468.8
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230K60K90K120K150KMin: 45327.1 / Avg: 45818.77 / Max: 46593.9Min: 48987 / Avg: 49078.53 / Max: 49214.6Min: 135998 / Avg: 136023 / Max: 136042Min: 86198 / Avg: 86277.57 / Max: 86363.1Min: 45013.3 / Avg: 45118.1 / Max: 45256.2Min: 70069.3 / Avg: 70154.47 / Max: 70274.1Min: 47856.7 / Avg: 47911.7 / Max: 47999.3Min: 32924.1 / Avg: 33024 / Max: 33136.5Min: 120062 / Avg: 120118.67 / Max: 120152Min: 49377.6 / Avg: 50401.83 / Max: 51054.3Min: 165394 / Avg: 165426 / Max: 165465Min: 82465 / Avg: 82490.43 / Max: 82517.6Min: 62851.8 / Avg: 62904.07 / Max: 62984.4Min: 36258.5 / Avg: 36468.83 / Max: 36667.1

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250K100K150K200K250KSE +/- 34.51, N = 3SE +/- 115.78, N = 3SE +/- 54.60, N = 3SE +/- 183.23, N = 3SE +/- 115.93, N = 3SE +/- 244.85, N = 3SE +/- 797.17, N = 15SE +/- 833.99, N = 6SE +/- 219.52, N = 3SE +/- 275.99, N = 3SE +/- 42.10, N = 3SE +/- 652.17, N = 3SE +/- 414.30, N = 3SE +/- 718.53, N = 1586140.684263.5177928.0151235.079313.6126743.085462.888093.7177540.092153.2212253.0144445.0105046.095873.7
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770240K80K120K160K200KMin: 86071.8 / Avg: 86140.57 / Max: 86180.1Min: 84034.6 / Avg: 84263.47 / Max: 84408.4Min: 177860 / Avg: 177928 / Max: 178036Min: 150900 / Avg: 151235.33 / Max: 151531Min: 79189.4 / Avg: 79313.63 / Max: 79545.3Min: 126253 / Avg: 126742.67 / Max: 126993Min: 82675.3 / Avg: 85462.75 / Max: 91289.3Min: 85520.1 / Avg: 88093.72 / Max: 91636.7Min: 177299 / Avg: 177539.67 / Max: 177978Min: 91707.3 / Avg: 92153.17 / Max: 92657.9Min: 212188 / Avg: 212253.33 / Max: 212332Min: 143270 / Avg: 144444.67 / Max: 145523Min: 104457 / Avg: 105045.67 / Max: 105845Min: 91993.6 / Avg: 95873.69 / Max: 100262

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250K100K150K200K250KSE +/- 111.10, N = 3SE +/- 39.58, N = 3SE +/- 44.74, N = 3SE +/- 38.26, N = 3SE +/- 77.46, N = 3SE +/- 132.22, N = 3SE +/- 126.18, N = 3SE +/- 174.48, N = 3SE +/- 82.39, N = 3SE +/- 74.34, N = 3SE +/- 202.36, N = 3SE +/- 25.85, N = 3SE +/- 6.99, N = 3SE +/- 39.50, N = 365104.477264.7201258.0129293.070622.9107391.075080.056195.5173807.068430.4242480.0123947.093404.161679.6
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770240K80K120K160K200KMin: 64904.3 / Avg: 65104.43 / Max: 65288.1Min: 77193.3 / Avg: 77264.7 / Max: 77330Min: 201180 / Avg: 201257.67 / Max: 201335Min: 129222 / Avg: 129293.33 / Max: 129353Min: 70510.4 / Avg: 70622.9 / Max: 70771.4Min: 107127 / Avg: 107390.67 / Max: 107540Min: 74862.2 / Avg: 75080 / Max: 75299.3Min: 55903.9 / Avg: 56195.5 / Max: 56507.3Min: 173701 / Avg: 173806.67 / Max: 173969Min: 68340.5 / Avg: 68430.4 / Max: 68577.9Min: 242075 / Avg: 242479.67 / Max: 242688Min: 123895 / Avg: 123946.67 / Max: 123974Min: 93391.7 / Avg: 93404.1 / Max: 93415.9Min: 61602.1 / Avg: 61679.57 / Max: 61731.7

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702700K1400K2100K2800K3500KSE +/- 837.49, N = 3SE +/- 386.91, N = 3SE +/- 314.32, N = 3SE +/- 1027.95, N = 3SE +/- 149.07, N = 3SE +/- 1646.01, N = 3SE +/- 466.83, N = 3SE +/- 4181.60, N = 3SE +/- 518.11, N = 3SE +/- 1818.31, N = 3SE +/- 326.24, N = 3SE +/- 366.38, N = 3SE +/- 1259.14, N = 3SE +/- 6234.46, N = 78307309218652592970163916784060413461538978846552792242950893517313692015670701206790702607
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702500K1000K1500K2000K2500KMin: 829366 / Avg: 830730.33 / Max: 832254Min: 921416 / Avg: 921864.67 / Max: 922635Min: 2592570 / Avg: 2592970 / Max: 2593590Min: 1637410 / Avg: 1639166.67 / Max: 1640970Min: 840370 / Avg: 840604 / Max: 840881Min: 1343550 / Avg: 1346153.33 / Max: 1349200Min: 897006 / Avg: 897884 / Max: 898598Min: 649807 / Avg: 655278.67 / Max: 663492Min: 2241960 / Avg: 2242950 / Max: 2243710Min: 889933 / Avg: 893516.67 / Max: 895844Min: 3136350 / Avg: 3136920 / Max: 3137480Min: 1566650 / Avg: 1567070 / Max: 1567800Min: 1205130 / Avg: 1206790 / Max: 1209260Min: 690630 / Avg: 702607 / Max: 737249

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702700K1400K2100K2800K3500KSE +/- 1781.71, N = 3SE +/- 143.80, N = 3SE +/- 227.03, N = 3SE +/- 565.25, N = 3SE +/- 425.74, N = 3SE +/- 192.21, N = 3SE +/- 487.90, N = 3SE +/- 3136.75, N = 3SE +/- 436.36, N = 3SE +/- 907.34, N = 3SE +/- 1129.29, N = 3SE +/- 272.21, N = 3SE +/- 1233.46, N = 3SE +/- 6069.08, N = 3938691103436728722271820153943229149918310063477008332493747978828347294017428901366410764269
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702600K1200K1800K2400K3000KMin: 935608 / Avg: 938691 / Max: 941780Min: 1034080 / Avg: 1034366.67 / Max: 1034530Min: 2871920 / Avg: 2872226.67 / Max: 2872670Min: 1819400 / Avg: 1820153.33 / Max: 1821260Min: 942378 / Avg: 943229 / Max: 943679Min: 1498800 / Avg: 1499183.33 / Max: 1499400Min: 1005560 / Avg: 1006346.67 / Max: 1007240Min: 695393 / Avg: 700833.33 / Max: 706259Min: 2492910 / Avg: 2493746.67 / Max: 2494380Min: 977917 / Avg: 978828.33 / Max: 980643Min: 3471470 / Avg: 3472940 / Max: 3475160Min: 1742350 / Avg: 1742890 / Max: 1743220Min: 1365020 / Avg: 1366410 / Max: 1368870Min: 752152 / Avg: 764269 / Max: 770948

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770240K80K120K160K200KSE +/- 114.49, N = 3SE +/- 106.86, N = 3SE +/- 101.93, N = 3SE +/- 76.96, N = 3SE +/- 120.93, N = 3SE +/- 1333.26, N = 3SE +/- 187.42, N = 3SE +/- 146.69, N = 3SE +/- 272.29, N = 3SE +/- 1549.72, N = 7SE +/- 139.37, N = 3SE +/- 37.21, N = 3SE +/- 92.46, N = 3SE +/- 182.06, N = 31738121725081405581557631625441513271687281276991548711718851515591525391546931289651. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230K60K90K120K150KMin: 173597 / Avg: 173811.67 / Max: 173988Min: 172364 / Avg: 172508.33 / Max: 172717Min: 140379 / Avg: 140558 / Max: 140732Min: 155611 / Avg: 155763 / Max: 155860Min: 162302 / Avg: 162543.67 / Max: 162673Min: 149779 / Avg: 151326.67 / Max: 153981Min: 168512 / Avg: 168727.67 / Max: 169101Min: 127449 / Avg: 127699.33 / Max: 127957Min: 154328 / Avg: 154871.33 / Max: 155175Min: 162598 / Avg: 171885 / Max: 173740Min: 151334 / Avg: 151559 / Max: 151814Min: 152490 / Avg: 152539 / Max: 152612Min: 154545 / Avg: 154693 / Max: 154863Min: 128622 / Avg: 128965.33 / Max: 1292421. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770290K180K270K360K450KSE +/- 10886.13, N = 9SE +/- 422.64, N = 3SE +/- 95.91, N = 3SE +/- 456.29, N = 3SE +/- 147.16, N = 3SE +/- 1699.46, N = 3SE +/- 440.86, N = 3SE +/- 1226.45, N = 3SE +/- 226.68, N = 3SE +/- 18239.03, N = 9SE +/- 533.40, N = 3SE +/- 60.14, N = 3SE +/- 338.07, N = 3SE +/- 730.51, N = 34298754419783401683886994116813820204279673456263783673996103690273871733910153474841. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280K160K240K320K400KMin: 364614 / Avg: 429875.11 / Max: 446994Min: 441242 / Avg: 441977.67 / Max: 442706Min: 339980 / Avg: 340168 / Max: 340295Min: 387821 / Avg: 388699.33 / Max: 389353Min: 411435 / Avg: 411681.33 / Max: 411944Min: 379249 / Avg: 382019.67 / Max: 385110Min: 427345 / Avg: 427966.67 / Max: 428819Min: 344068 / Avg: 345626.33 / Max: 348046Min: 378044 / Avg: 378367 / Max: 378804Min: 331340 / Avg: 399610.44 / Max: 446964Min: 367965 / Avg: 369027.33 / Max: 369643Min: 387058 / Avg: 387173 / Max: 387261Min: 390425 / Avg: 391015.33 / Max: 391596Min: 346044 / Avg: 347483.67 / Max: 3484191. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230060090012001500SE +/- 7.55, N = 3SE +/- 7.33, N = 3SE +/- 8.33, N = 3SE +/- 8.01, N = 3SE +/- 1.20, N = 3SE +/- 5.46, N = 3SE +/- 10.82, N = 3SE +/- 9.54, N = 3SE +/- 9.35, N = 3SE +/- 9.68, N = 3SE +/- 1.86, N = 3SE +/- 1.20, N = 3SE +/- 6.84, N = 3118411809981221113799911731184120811781213117211591166
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000Min: 1175 / Avg: 1184 / Max: 1199Min: 1173 / Avg: 1180.33 / Max: 1195Min: 990 / Avg: 998.33 / Max: 1015Min: 1209 / Avg: 1220.67 / Max: 1236Min: 1135 / Avg: 1137.33 / Max: 1139Min: 992 / Avg: 999.33 / Max: 1010Min: 1152 / Avg: 1173 / Max: 1188Min: 1165 / Avg: 1184 / Max: 1195Min: 1168 / Avg: 1178.33 / Max: 1197Min: 1202 / Avg: 1212.67 / Max: 1232Min: 1168 / Avg: 1171.67 / Max: 1174Min: 1157 / Avg: 1159.33 / Max: 1161Min: 1159 / Avg: 1166.33 / Max: 1180

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.33, N = 3134131111135129110128133134133135130131129
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 110 / Avg: 110.33 / Max: 111

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021326395265SE +/- 0.37, N = 3SE +/- 0.26, N = 3SE +/- 0.45, N = 3SE +/- 0.27, N = 3SE +/- 0.22, N = 3SE +/- 0.23, N = 3SE +/- 0.37, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.52, N = 3SE +/- 0.40, N = 3SE +/- 0.44, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 358.458.349.159.156.750.456.958.660.058.159.557.657.257.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021224364860Min: 57.9 / Avg: 58.37 / Max: 59.1Min: 57.8 / Avg: 58.27 / Max: 58.7Min: 48.2 / Avg: 49.07 / Max: 49.7Min: 58.6 / Avg: 59.13 / Max: 59.4Min: 56.4 / Avg: 56.67 / Max: 57.1Min: 50.2 / Avg: 50.43 / Max: 50.9Min: 56.2 / Avg: 56.93 / Max: 57.4Min: 58.2 / Avg: 58.57 / Max: 58.8Min: 59.8 / Avg: 60.03 / Max: 60.3Min: 57.2 / Avg: 58.1 / Max: 59Min: 58.7 / Avg: 59.5 / Max: 59.9Min: 56.8 / Avg: 57.63 / Max: 58.3Min: 57.2 / Avg: 57.23 / Max: 57.3Min: 57.3 / Avg: 57.47 / Max: 57.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3135134115139135114132134138134143135133133
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 134 / Avg: 135 / Max: 136Min: 131 / Avg: 131.67 / Max: 132Min: 133 / Avg: 133.67 / Max: 135Min: 132 / Avg: 133 / Max: 134

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.33, N = 3SE +/- 0.33, N = 3138137116142133116135137141137141137135135
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 137 / Avg: 137.67 / Max: 138Min: 141 / Avg: 141.67 / Max: 142

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 320.520.417.221.319.917.519.920.521.020.521.120.420.220.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 20.5 / Avg: 20.5 / Max: 20.5Min: 20.4 / Avg: 20.43 / Max: 20.5Min: 17.2 / Avg: 17.2 / Max: 17.2Min: 21.2 / Avg: 21.27 / Max: 21.3Min: 19.8 / Avg: 19.87 / Max: 19.9Min: 17.5 / Avg: 17.5 / Max: 17.5Min: 19.9 / Avg: 19.9 / Max: 19.9Min: 20.5 / Avg: 20.53 / Max: 20.6Min: 20.9 / Avg: 20.97 / Max: 21Min: 20.5 / Avg: 20.5 / Max: 20.5Min: 21.1 / Avg: 21.1 / Max: 21.1Min: 20.4 / Avg: 20.43 / Max: 20.5Min: 20.2 / Avg: 20.23 / Max: 20.3Min: 20.2 / Avg: 20.2 / Max: 20.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 38.848.797.479.138.577.548.628.809.068.839.498.828.728.71
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 8.83 / Avg: 8.84 / Max: 8.85Min: 8.78 / Avg: 8.79 / Max: 8.79Min: 7.47 / Avg: 7.47 / Max: 7.48Min: 9.12 / Avg: 9.13 / Max: 9.13Min: 8.57 / Avg: 8.57 / Max: 8.57Min: 7.54 / Avg: 7.54 / Max: 7.55Min: 8.61 / Avg: 8.62 / Max: 8.62Min: 8.8 / Avg: 8.8 / Max: 8.8Min: 9.05 / Avg: 9.06 / Max: 9.06Min: 8.81 / Avg: 8.83 / Max: 8.84Min: 9.49 / Avg: 9.49 / Max: 9.49Min: 8.81 / Avg: 8.82 / Max: 8.82Min: 8.72 / Avg: 8.72 / Max: 8.73Min: 8.71 / Avg: 8.71 / Max: 8.71

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 3203202171208198174197202208202208202200198
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200Min: 202 / Avg: 202.67 / Max: 203Min: 170 / Avg: 171 / Max: 172Min: 208 / Avg: 208.33 / Max: 209Min: 197 / Avg: 197.67 / Max: 198Min: 196 / Avg: 197.33 / Max: 198Min: 201 / Avg: 201.67 / Max: 203

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.0EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.003, N = 3SE +/- 0.016, N = 3SE +/- 0.062, N = 14SE +/- 0.027, N = 3SE +/- 0.252, N = 15SE +/- 0.064, N = 3SE +/- 0.048, N = 3SE +/- 0.018, N = 3SE +/- 0.115, N = 4SE +/- 0.271, N = 15SE +/- 0.071, N = 11SE +/- 0.061, N = 15SE +/- 0.114, N = 3SE +/- 0.014, N = 37.4797.3389.3579.6107.62510.2097.4937.5429.7688.1429.6509.5048.9788.375MIN: 7.34 / MAX: 8.04MIN: 7.23 / MAX: 7.87MIN: 8.98 / MAX: 23.95MIN: 9.28 / MAX: 25.71MIN: 7.08 / MAX: 14.04MIN: 10.06 / MAX: 11.23MIN: 7.29 / MAX: 9.78MIN: 7.38 / MAX: 8.01MIN: 9.3 / MAX: 12.44MIN: 7.43 / MAX: 13.26MIN: 9.16 / MAX: 25.96MIN: 9.01 / MAX: 25.56MIN: 8.7 / MAX: 10.42MIN: 8.25 / MAX: 8.551. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: SqueezeNetV1.0EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 7.47 / Avg: 7.48 / Max: 7.48Min: 7.32 / Avg: 7.34 / Max: 7.37Min: 9.16 / Avg: 9.36 / Max: 10Min: 9.58 / Avg: 9.61 / Max: 9.66Min: 7.17 / Avg: 7.63 / Max: 10.86Min: 10.14 / Avg: 10.21 / Max: 10.34Min: 7.44 / Avg: 7.49 / Max: 7.59Min: 7.51 / Avg: 7.54 / Max: 7.56Min: 9.49 / Avg: 9.77 / Max: 10.05Min: 7.63 / Avg: 8.14 / Max: 11.51Min: 9.3 / Avg: 9.65 / Max: 10.14Min: 9.26 / Avg: 9.5 / Max: 10.27Min: 8.84 / Avg: 8.98 / Max: 9.2Min: 8.35 / Avg: 8.37 / Max: 8.41. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-50EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 14SE +/- 0.12, N = 3SE +/- 0.05, N = 15SE +/- 0.19, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 4SE +/- 0.05, N = 15SE +/- 0.12, N = 11SE +/- 0.09, N = 15SE +/- 0.97, N = 3SE +/- 0.07, N = 324.7825.2727.4533.5924.3033.5025.0625.2238.1025.4431.4431.5429.0226.92MIN: 24.46 / MAX: 25.37MIN: 24.96 / MAX: 28.42MIN: 27.01 / MAX: 58.07MIN: 32.54 / MAX: 48.77MIN: 23.72 / MAX: 27.28MIN: 32.85 / MAX: 46.41MIN: 24.51 / MAX: 27.82MIN: 24.73 / MAX: 27.24MIN: 36.85 / MAX: 55.75MIN: 24.73 / MAX: 28.58MIN: 30.44 / MAX: 49.82MIN: 30.05 / MAX: 48.95MIN: 27.23 / MAX: 33.12MIN: 26.49 / MAX: 27.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: resnet-v2-50EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 24.73 / Avg: 24.78 / Max: 24.82Min: 25.2 / Avg: 25.27 / Max: 25.36Min: 27.35 / Avg: 27.44 / Max: 27.53Min: 33.39 / Avg: 33.59 / Max: 33.8Min: 23.9 / Avg: 24.3 / Max: 24.57Min: 33.28 / Avg: 33.5 / Max: 33.89Min: 24.81 / Avg: 25.06 / Max: 25.18Min: 25.03 / Avg: 25.22 / Max: 25.35Min: 37.9 / Avg: 38.1 / Max: 38.42Min: 25.04 / Avg: 25.44 / Max: 25.64Min: 30.9 / Avg: 31.44 / Max: 32.5Min: 30.84 / Avg: 31.54 / Max: 32Min: 27.93 / Avg: 29.02 / Max: 30.96Min: 26.83 / Avg: 26.92 / Max: 27.061. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_224EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.016, N = 3SE +/- 0.022, N = 3SE +/- 0.017, N = 14SE +/- 0.033, N = 3SE +/- 0.009, N = 15SE +/- 0.391, N = 3SE +/- 0.028, N = 3SE +/- 0.022, N = 3SE +/- 0.155, N = 4SE +/- 0.008, N = 15SE +/- 0.030, N = 11SE +/- 0.046, N = 15SE +/- 0.026, N = 3SE +/- 0.016, N = 34.8254.8214.5785.8554.7138.1714.8204.9205.9304.8524.9445.7725.2705.067MIN: 4.71 / MAX: 5.16MIN: 4.72 / MAX: 5.31MIN: 4.43 / MAX: 10.46MIN: 5.58 / MAX: 23.16MIN: 4.51 / MAX: 6.85MIN: 7.28 / MAX: 12.17MIN: 4.67 / MAX: 6.92MIN: 4.78 / MAX: 5.1MIN: 5.53 / MAX: 20.6MIN: 4.69 / MAX: 5.21MIN: 4.74 / MAX: 7.04MIN: 5.46 / MAX: 20.47MIN: 5.12 / MAX: 6.52MIN: 4.95 / MAX: 5.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: MobileNetV2_224EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 4.79 / Avg: 4.83 / Max: 4.84Min: 4.8 / Avg: 4.82 / Max: 4.87Min: 4.51 / Avg: 4.58 / Max: 4.67Min: 5.81 / Avg: 5.86 / Max: 5.92Min: 4.6 / Avg: 4.71 / Max: 4.75Min: 7.72 / Avg: 8.17 / Max: 8.95Min: 4.78 / Avg: 4.82 / Max: 4.87Min: 4.88 / Avg: 4.92 / Max: 4.96Min: 5.66 / Avg: 5.93 / Max: 6.37Min: 4.78 / Avg: 4.85 / Max: 4.89Min: 4.81 / Avg: 4.94 / Max: 5.12Min: 5.57 / Avg: 5.77 / Max: 6.19Min: 5.23 / Avg: 5.27 / Max: 5.32Min: 5.05 / Avg: 5.07 / Max: 5.11. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.0EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.30012.60023.90035.20046.5005SE +/- 0.024, N = 3SE +/- 0.008, N = 3SE +/- 0.002, N = 14SE +/- 0.060, N = 3SE +/- 0.005, N = 15SE +/- 0.401, N = 3SE +/- 0.010, N = 3SE +/- 0.006, N = 3SE +/- 0.015, N = 4SE +/- 0.004, N = 15SE +/- 0.007, N = 11SE +/- 0.005, N = 15SE +/- 0.012, N = 3SE +/- 0.015, N = 33.0563.0033.6254.0812.8365.7782.9273.0735.3223.0223.9173.8563.2133.187MIN: 2.98 / MAX: 3.31MIN: 2.95 / MAX: 3.25MIN: 3.57 / MAX: 17.34MIN: 3.8 / MAX: 20.13MIN: 2.77 / MAX: 4.94MIN: 4.65 / MAX: 7.24MIN: 2.87 / MAX: 5.27MIN: 3.03 / MAX: 3.22MIN: 5.22 / MAX: 13.18MIN: 2.96 / MAX: 3.4MIN: 3.79 / MAX: 19.86MIN: 3.74 / MAX: 20.71MIN: 3.15 / MAX: 4.81MIN: 3.13 / MAX: 3.281. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: mobilenet-v1-1.0EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 3.02 / Avg: 3.06 / Max: 3.1Min: 2.99 / Avg: 3 / Max: 3.02Min: 3.61 / Avg: 3.62 / Max: 3.64Min: 3.98 / Avg: 4.08 / Max: 4.18Min: 2.81 / Avg: 2.84 / Max: 2.88Min: 5 / Avg: 5.78 / Max: 6.34Min: 2.92 / Avg: 2.93 / Max: 2.95Min: 3.06 / Avg: 3.07 / Max: 3.09Min: 5.3 / Avg: 5.32 / Max: 5.36Min: 3.01 / Avg: 3.02 / Max: 3.05Min: 3.86 / Avg: 3.92 / Max: 3.95Min: 3.82 / Avg: 3.86 / Max: 3.88Min: 3.19 / Avg: 3.21 / Max: 3.23Min: 3.17 / Avg: 3.19 / Max: 3.221. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021020304050SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 14SE +/- 0.09, N = 3SE +/- 0.05, N = 15SE +/- 0.27, N = 3SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 4SE +/- 0.05, N = 15SE +/- 0.12, N = 11SE +/- 0.09, N = 15SE +/- 0.70, N = 3SE +/- 0.04, N = 332.8632.4734.9143.1331.8743.3632.9233.5838.6235.4738.3341.1236.8838.00MIN: 32.05 / MAX: 34.89MIN: 32.03 / MAX: 34.7MIN: 33.81 / MAX: 50.1MIN: 42.07 / MAX: 59.48MIN: 30.79 / MAX: 34.77MIN: 40.47 / MAX: 57.18MIN: 32.02 / MAX: 35.9MIN: 32.98 / MAX: 34.68MIN: 38.09 / MAX: 52.97MIN: 34.49 / MAX: 38.11MIN: 37.06 / MAX: 55.19MIN: 39.63 / MAX: 81.35MIN: 35.1 / MAX: 40.26MIN: 36.26 / MAX: 38.931. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 1.1.1Model: inception-v3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645Min: 32.62 / Avg: 32.86 / Max: 33.02Min: 32.35 / Avg: 32.47 / Max: 32.57Min: 34.79 / Avg: 34.91 / Max: 35.08Min: 43 / Avg: 43.13 / Max: 43.3Min: 31.52 / Avg: 31.87 / Max: 32.13Min: 42.82 / Avg: 43.36 / Max: 43.65Min: 32.64 / Avg: 32.92 / Max: 33.11Min: 33.57 / Avg: 33.58 / Max: 33.59Min: 38.45 / Avg: 38.62 / Max: 38.79Min: 34.98 / Avg: 35.47 / Max: 35.68Min: 37.94 / Avg: 38.33 / Max: 39.34Min: 40.41 / Avg: 41.12 / Max: 41.65Min: 35.66 / Avg: 36.88 / Max: 38.08Min: 37.92 / Avg: 38 / Max: 38.081. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.64, N = 12SE +/- 0.18, N = 11SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.82, N = 9SE +/- 0.16, N = 3SE +/- 0.37, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.72, N = 928.9223.5920.5420.4620.4324.1421.1435.7820.0626.5022.3319.7019.5236.67MIN: 24.32 / MAX: 41.88MIN: 22.06 / MAX: 161.6MIN: 20.19 / MAX: 21.27MIN: 19.72 / MAX: 77.23MIN: 19.91 / MAX: 33.27MIN: 23.55 / MAX: 25.73MIN: 20.56 / MAX: 35MIN: 28.31 / MAX: 170.87MIN: 19.5 / MAX: 23.62MIN: 24.55 / MAX: 33.31MIN: 21.92 / MAX: 23.79MIN: 19.2 / MAX: 20.45MIN: 19.11 / MAX: 21.65MIN: 30.26 / MAX: 274.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 26.74 / Avg: 28.92 / Max: 33.72Min: 22.94 / Avg: 23.59 / Max: 24.92Min: 20.4 / Avg: 20.54 / Max: 20.73Min: 20.36 / Avg: 20.46 / Max: 20.66Min: 20.38 / Avg: 20.43 / Max: 20.48Min: 24 / Avg: 24.14 / Max: 24.32Min: 20.98 / Avg: 21.14 / Max: 21.44Min: 31.86 / Avg: 35.78 / Max: 39.06Min: 19.75 / Avg: 20.06 / Max: 20.29Min: 25.8 / Avg: 26.5 / Max: 27.04Min: 22.23 / Avg: 22.33 / Max: 22.53Min: 19.56 / Avg: 19.7 / Max: 19.85Min: 19.39 / Avg: 19.52 / Max: 19.6Min: 32.61 / Avg: 36.67 / Max: 39.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021326395265SE +/- 0.19, N = 12SE +/- 0.15, N = 11SE +/- 0.18, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.27, N = 9SE +/- 0.13, N = 3SE +/- 0.32, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.24, N = 934.9033.2733.8139.4231.4859.8132.0437.3540.0134.2040.6730.8431.4639.03MIN: 33.25 / MAX: 146.34MIN: 31.92 / MAX: 108.33MIN: 33.39 / MAX: 80.53MIN: 38.3 / MAX: 143.19MIN: 31.08 / MAX: 45.9MIN: 57.95 / MAX: 122.99MIN: 31.32 / MAX: 109.6MIN: 35.01 / MAX: 111.55MIN: 39.54 / MAX: 41.05MIN: 33.04 / MAX: 37.52MIN: 40.35 / MAX: 43.91MIN: 30.45 / MAX: 32.11MIN: 31.24 / MAX: 33.08MIN: 36.68 / MAX: 159.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021224364860Min: 34.19 / Avg: 34.9 / Max: 36.02Min: 32.69 / Avg: 33.27 / Max: 34.04Min: 33.62 / Avg: 33.81 / Max: 34.17Min: 38.92 / Avg: 39.42 / Max: 39.85Min: 31.34 / Avg: 31.48 / Max: 31.56Min: 59.51 / Avg: 59.81 / Max: 60.01Min: 31.88 / Avg: 32.04 / Max: 32.28Min: 35.99 / Avg: 37.35 / Max: 38.19Min: 39.75 / Avg: 40.01 / Max: 40.15Min: 33.59 / Avg: 34.2 / Max: 34.65Min: 40.61 / Avg: 40.67 / Max: 40.77Min: 30.69 / Avg: 30.84 / Max: 31.08Min: 31.45 / Avg: 31.46 / Max: 31.48Min: 38.1 / Avg: 39.03 / Max: 40.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.07, N = 12SE +/- 0.06, N = 11SE +/- 0.00, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.08, N = 9SE +/- 0.02, N = 3SE +/- 0.32, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 2SE +/- 0.01, N = 3SE +/- 0.09, N = 98.567.817.6010.168.289.878.558.819.869.499.867.447.809.04MIN: 8.22 / MAX: 24.11MIN: 7.55 / MAX: 10.47MIN: 7.51 / MAX: 8.13MIN: 9.88 / MAX: 21.62MIN: 8 / MAX: 10.85MIN: 9.45 / MAX: 10.5MIN: 8.18 / MAX: 10.72MIN: 8.44 / MAX: 32.96MIN: 9.77 / MAX: 10.66MIN: 8.54 / MAX: 13.63MIN: 9.77 / MAX: 25.65MIN: 7.34 / MAX: 8.53MIN: 7.66 / MAX: 9.41MIN: 8.61 / MAX: 17.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 8.41 / Avg: 8.56 / Max: 9.07Min: 7.65 / Avg: 7.81 / Max: 8.24Min: 7.6 / Avg: 7.6 / Max: 7.61Min: 10.05 / Avg: 10.16 / Max: 10.31Min: 8.12 / Avg: 8.28 / Max: 8.6Min: 9.7 / Avg: 9.87 / Max: 10.15Min: 8.38 / Avg: 8.55 / Max: 8.86Min: 8.55 / Avg: 8.81 / Max: 9.42Min: 9.82 / Avg: 9.86 / Max: 9.89Min: 8.86 / Avg: 9.49 / Max: 9.82Min: 9.84 / Avg: 9.86 / Max: 9.9Min: 7.43 / Avg: 7.44 / Max: 7.45Min: 7.78 / Avg: 7.8 / Max: 7.82Min: 8.83 / Avg: 9.04 / Max: 9.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.19, N = 12SE +/- 0.04, N = 11SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 0.26, N = 3SE +/- 0.12, N = 9SE +/- 0.33, N = 3SE +/- 0.25, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.25, N = 927.8324.6223.7525.1723.5535.4724.3232.7326.8328.5728.1921.8822.7934.51MIN: 26.6 / MAX: 234.67MIN: 23.94 / MAX: 27.83MIN: 23.29 / MAX: 24.37MIN: 24.53 / MAX: 50.53MIN: 23.01 / MAX: 26.62MIN: 34.12 / MAX: 114.69MIN: 23.62 / MAX: 27.07MIN: 31.74 / MAX: 44.34MIN: 26.22 / MAX: 41.74MIN: 27.64 / MAX: 33.13MIN: 27.81 / MAX: 29.82MIN: 21.64 / MAX: 23.37MIN: 22.48 / MAX: 33.96MIN: 31.68 / MAX: 186.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 27.17 / Avg: 27.83 / Max: 29.25Min: 24.38 / Avg: 24.62 / Max: 24.86Min: 23.57 / Avg: 23.75 / Max: 23.86Min: 25.05 / Avg: 25.17 / Max: 25.35Min: 23.25 / Avg: 23.55 / Max: 23.73Min: 34.82 / Avg: 35.47 / Max: 35.92Min: 23.81 / Avg: 24.32 / Max: 24.65Min: 32.29 / Avg: 32.73 / Max: 33.15Min: 26.36 / Avg: 26.83 / Max: 27.48Min: 28.08 / Avg: 28.57 / Max: 28.9Min: 27.94 / Avg: 28.19 / Max: 28.64Min: 21.81 / Avg: 21.88 / Max: 21.92Min: 22.65 / Avg: 22.79 / Max: 22.86Min: 33.19 / Avg: 34.51 / Max: 35.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.06, N = 12SE +/- 0.17, N = 11SE +/- 0.29, N = 3SE +/- 0.45, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.33, N = 3SE +/- 0.12, N = 9SE +/- 0.61, N = 3SE +/- 0.10, N = 3SE +/- 0.50, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.22, N = 930.6329.6627.6129.7828.2735.3829.1134.1529.2331.6129.6727.8727.7835.66MIN: 29.81 / MAX: 126.09MIN: 28.65 / MAX: 167.51MIN: 26.76 / MAX: 28.5MIN: 28.36 / MAX: 108.17MIN: 27.87 / MAX: 31.14MIN: 34.22 / MAX: 37.33MIN: 28.33 / MAX: 32.38MIN: 32.54 / MAX: 132.52MIN: 28.35 / MAX: 32.28MIN: 30.9 / MAX: 36.86MIN: 28.72 / MAX: 42.97MIN: 27.31 / MAX: 41.48MIN: 27.43 / MAX: 29.51MIN: 34 / MAX: 102.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 30.33 / Avg: 30.63 / Max: 30.98Min: 29.28 / Avg: 29.66 / Max: 31.16Min: 27.05 / Avg: 27.61 / Max: 28Min: 28.88 / Avg: 29.78 / Max: 30.25Min: 28.2 / Avg: 28.27 / Max: 28.34Min: 34.83 / Avg: 35.38 / Max: 35.68Min: 28.7 / Avg: 29.11 / Max: 29.76Min: 33.31 / Avg: 34.15 / Max: 34.59Min: 28.56 / Avg: 29.23 / Max: 30.45Min: 31.41 / Avg: 31.61 / Max: 31.75Min: 29 / Avg: 29.67 / Max: 30.66Min: 27.62 / Avg: 27.87 / Max: 28.19Min: 27.74 / Avg: 27.78 / Max: 27.82Min: 34.86 / Avg: 35.66 / Max: 36.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.09, N = 12SE +/- 0.05, N = 11SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 9SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 928.6825.9425.7622.8524.5225.2023.7332.0922.6228.9427.9722.4523.0233.77MIN: 27.54 / MAX: 42.27MIN: 25.15 / MAX: 38.37MIN: 24.63 / MAX: 28.33MIN: 21.95 / MAX: 99.38MIN: 24.07 / MAX: 27.01MIN: 24.28 / MAX: 26.66MIN: 22.99 / MAX: 25.94MIN: 30.51 / MAX: 174.53MIN: 22.05 / MAX: 23.63MIN: 28.1 / MAX: 41.11MIN: 27.46 / MAX: 42.1MIN: 21.7 / MAX: 24.03MIN: 22.47 / MAX: 24.28MIN: 32.17 / MAX: 177.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835Min: 28.28 / Avg: 28.68 / Max: 29.56Min: 25.63 / Avg: 25.94 / Max: 26.21Min: 25.69 / Avg: 25.76 / Max: 25.86Min: 22.7 / Avg: 22.85 / Max: 22.98Min: 24.41 / Avg: 24.52 / Max: 24.65Min: 24.91 / Avg: 25.2 / Max: 25.41Min: 23.45 / Avg: 23.73 / Max: 23.93Min: 31.56 / Avg: 32.09 / Max: 32.7Min: 22.44 / Avg: 22.62 / Max: 22.74Min: 28.89 / Avg: 28.94 / Max: 28.98Min: 27.95 / Avg: 27.97 / Max: 27.99Min: 22.32 / Avg: 22.45 / Max: 22.58Min: 22.92 / Avg: 23.02 / Max: 23.09Min: 33.05 / Avg: 33.77 / Max: 34.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 1.44, N = 12SE +/- 0.60, N = 11SE +/- 0.20, N = 3SE +/- 0.34, N = 3SE +/- 1.20, N = 3SE +/- 0.05, N = 3SE +/- 0.89, N = 3SE +/- 1.58, N = 9SE +/- 0.04, N = 3SE +/- 2.91, N = 3SE +/- 0.30, N = 3SE +/- 0.51, N = 3SE +/- 0.47, N = 3SE +/- 0.88, N = 993.9566.9032.1640.2761.2946.3060.77115.4834.2491.9031.1641.3551.09120.47MIN: 86.48 / MAX: 1086.99MIN: 63.42 / MAX: 212.32MIN: 31.34 / MAX: 32.97MIN: 38.44 / MAX: 167.34MIN: 59.46 / MAX: 72.41MIN: 45.45 / MAX: 121.75MIN: 58.26 / MAX: 140.56MIN: 104.38 / MAX: 272.84MIN: 33.82 / MAX: 47.56MIN: 86.84 / MAX: 102.42MIN: 30.33 / MAX: 33.9MIN: 40.02 / MAX: 44.02MIN: 49.4 / MAX: 53.35MIN: 113.86 / MAX: 575.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 87.38 / Avg: 93.95 / Max: 100.86Min: 64.25 / Avg: 66.9 / Max: 69.82Min: 31.76 / Avg: 32.16 / Max: 32.37Min: 39.89 / Avg: 40.27 / Max: 40.94Min: 60 / Avg: 61.29 / Max: 63.69Min: 46.2 / Avg: 46.3 / Max: 46.36Min: 59.06 / Avg: 60.77 / Max: 62.06Min: 105.72 / Avg: 115.48 / Max: 120.7Min: 34.18 / Avg: 34.24 / Max: 34.32Min: 88.94 / Avg: 91.9 / Max: 97.72Min: 30.61 / Avg: 31.16 / Max: 31.62Min: 40.41 / Avg: 41.35 / Max: 42.16Min: 50.14 / Avg: 51.09 / Max: 51.59Min: 117.06 / Avg: 120.47 / Max: 124.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.002747, N = 7SE +/- 0.001701, N = 7SE +/- 0.007190, N = 7SE +/- 0.008434, N = 7SE +/- 0.011195, N = 7SE +/- 0.002179, N = 7SE +/- 0.008223, N = 7SE +/- 0.002146, N = 7SE +/- 0.005350, N = 7SE +/- 0.003838, N = 7SE +/- 0.004801, N = 7SE +/- 0.006442, N = 7SE +/- 0.005689, N = 7SE +/- 0.002719, N = 71.1080501.4837404.3013005.8645803.4617402.0018303.4623600.9937325.9534801.7196706.3766803.7064003.5434701.078440MIN: 1.28MIN: 4.22MIN: 5.63MIN: 3.38MIN: 1.91MIN: 3.38MIN: 5.82MIN: 1.63MIN: 6.27MIN: 3.6MIN: 3.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 1.1 / Avg: 1.11 / Max: 1.12Min: 1.47 / Avg: 1.48 / Max: 1.49Min: 4.26 / Avg: 4.3 / Max: 4.32Min: 5.83 / Avg: 5.86 / Max: 5.9Min: 3.44 / Avg: 3.46 / Max: 3.53Min: 1.99 / Avg: 2 / Max: 2.01Min: 3.43 / Avg: 3.46 / Max: 3.5Min: 0.99 / Avg: 0.99 / Max: 1Min: 5.94 / Avg: 5.95 / Max: 5.98Min: 1.7 / Avg: 1.72 / Max: 1.73Min: 6.36 / Avg: 6.38 / Max: 6.4Min: 3.67 / Avg: 3.71 / Max: 3.73Min: 3.52 / Avg: 3.54 / Max: 3.56Min: 1.07 / Avg: 1.08 / Max: 1.091. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.00965, N = 7SE +/- 0.01167, N = 7SE +/- 0.04127, N = 7SE +/- 0.03193, N = 7SE +/- 0.00813, N = 7SE +/- 0.03514, N = 7SE +/- 0.01750, N = 7SE +/- 0.01107, N = 7SE +/- 0.00984, N = 7SE +/- 0.00723, N = 7SE +/- 0.04608, N = 7SE +/- 0.00742, N = 7SE +/- 0.00525, N = 7SE +/- 0.00551, N = 73.543163.612689.151246.762423.976996.915613.970433.504127.605053.8401810.958205.454004.251113.55892MIN: 3.43MIN: 3.49MIN: 8.56MIN: 6.41MIN: 3.87MIN: 6.67MIN: 3.86MIN: 3.39MIN: 7.15MIN: 3.75MIN: 10.24MIN: 5.12MIN: 4.06MIN: 3.471. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 3.52 / Avg: 3.54 / Max: 3.59Min: 3.55 / Avg: 3.61 / Max: 3.64Min: 9.06 / Avg: 9.15 / Max: 9.39Min: 6.64 / Avg: 6.76 / Max: 6.85Min: 3.94 / Avg: 3.98 / Max: 4Min: 6.79 / Avg: 6.92 / Max: 7.05Min: 3.92 / Avg: 3.97 / Max: 4.03Min: 3.47 / Avg: 3.5 / Max: 3.54Min: 7.56 / Avg: 7.61 / Max: 7.64Min: 3.81 / Avg: 3.84 / Max: 3.86Min: 10.75 / Avg: 10.96 / Max: 11.12Min: 5.41 / Avg: 5.45 / Max: 5.47Min: 4.23 / Avg: 4.25 / Max: 4.27Min: 3.54 / Avg: 3.56 / Max: 3.581. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.02012, N = 3SE +/- 0.01295, N = 3SE +/- 0.06606, N = 3SE +/- 0.01071, N = 3SE +/- 0.00152, N = 3SE +/- 0.00961, N = 3SE +/- 0.01343, N = 3SE +/- 0.01627, N = 15SE +/- 0.00923, N = 3SE +/- 0.01668, N = 15SE +/- 0.02020, N = 3SE +/- 0.01740, N = 3SE +/- 0.00832, N = 3SE +/- 0.00813, N = 31.987262.222425.032363.501752.048662.757432.197272.022314.440772.157946.122613.283772.489772.33519MIN: 1.87MIN: 2.06MIN: 4.86MIN: 3.1MIN: 1.99MIN: 2.63MIN: 2.12MIN: 1.84MIN: 4.2MIN: 1.99MIN: 5.93MIN: 3.08MIN: 2.4MIN: 2.081. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 1.95 / Avg: 1.99 / Max: 2.02Min: 2.21 / Avg: 2.22 / Max: 2.25Min: 4.94 / Avg: 5.03 / Max: 5.16Min: 3.49 / Avg: 3.5 / Max: 3.52Min: 2.05 / Avg: 2.05 / Max: 2.05Min: 2.74 / Avg: 2.76 / Max: 2.77Min: 2.18 / Avg: 2.2 / Max: 2.22Min: 1.93 / Avg: 2.02 / Max: 2.15Min: 4.43 / Avg: 4.44 / Max: 4.46Min: 2.07 / Avg: 2.16 / Max: 2.28Min: 6.1 / Avg: 6.12 / Max: 6.16Min: 3.25 / Avg: 3.28 / Max: 3.3Min: 2.48 / Avg: 2.49 / Max: 2.51Min: 2.32 / Avg: 2.34 / Max: 2.351. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.00608, N = 3SE +/- 0.00309, N = 3SE +/- 0.00611, N = 3SE +/- 0.02527, N = 3SE +/- 0.00531, N = 3SE +/- 0.02104, N = 3SE +/- 0.00464, N = 3SE +/- 0.00798, N = 3SE +/- 0.00535, N = 3SE +/- 0.00201, N = 3SE +/- 0.02294, N = 3SE +/- 0.00946, N = 3SE +/- 0.02587, N = 3SE +/- 0.00645, N = 31.930422.205437.237636.063332.069835.496052.151941.798745.253311.997078.671546.034975.922041.88842MIN: 1.82MIN: 2.05MIN: 7.01MIN: 5.87MIN: 2MIN: 5.32MIN: 2.02MIN: 1.69MIN: 5.07MIN: 1.91MIN: 8.41MIN: 5.92MIN: 5.79MIN: 1.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 1.92 / Avg: 1.93 / Max: 1.94Min: 2.2 / Avg: 2.21 / Max: 2.21Min: 7.23 / Avg: 7.24 / Max: 7.25Min: 6.02 / Avg: 6.06 / Max: 6.1Min: 2.06 / Avg: 2.07 / Max: 2.08Min: 5.46 / Avg: 5.5 / Max: 5.54Min: 2.15 / Avg: 2.15 / Max: 2.16Min: 1.78 / Avg: 1.8 / Max: 1.81Min: 5.25 / Avg: 5.25 / Max: 5.26Min: 1.99 / Avg: 2 / Max: 2Min: 8.63 / Avg: 8.67 / Max: 8.71Min: 6.02 / Avg: 6.03 / Max: 6.04Min: 5.89 / Avg: 5.92 / Max: 5.97Min: 1.88 / Avg: 1.89 / Max: 1.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.01930, N = 15SE +/- 0.00881, N = 9SE +/- 0.00118, N = 9SE +/- 0.00482, N = 9SE +/- 0.00582, N = 9SE +/- 0.00511, N = 9SE +/- 0.00414, N = 9SE +/- 0.02912, N = 15SE +/- 0.00724, N = 9SE +/- 0.00950, N = 9SE +/- 0.00735, N = 9SE +/- 0.00474, N = 9SE +/- 0.00636, N = 9SE +/- 0.03302, N = 152.403803.601306.463985.083283.441183.927373.688332.523636.291352.553358.271844.726083.346332.82015MIN: 2.23MIN: 3.22MIN: 6.38MIN: 4.73MIN: 3.03MIN: 3.81MIN: 3.26MIN: 2.25MIN: 6.07MIN: 2.41MIN: 8MIN: 4.52MIN: 3.15MIN: 2.491. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 2.29 / Avg: 2.4 / Max: 2.52Min: 3.57 / Avg: 3.6 / Max: 3.64Min: 6.46 / Avg: 6.46 / Max: 6.47Min: 5.06 / Avg: 5.08 / Max: 5.11Min: 3.42 / Avg: 3.44 / Max: 3.47Min: 3.89 / Avg: 3.93 / Max: 3.94Min: 3.67 / Avg: 3.69 / Max: 3.7Min: 2.43 / Avg: 2.52 / Max: 2.85Min: 6.26 / Avg: 6.29 / Max: 6.32Min: 2.52 / Avg: 2.55 / Max: 2.62Min: 8.23 / Avg: 8.27 / Max: 8.29Min: 4.71 / Avg: 4.73 / Max: 4.74Min: 3.33 / Avg: 3.35 / Max: 3.39Min: 2.71 / Avg: 2.82 / Max: 3.121. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.00625, N = 9SE +/- 0.00104, N = 9SE +/- 0.00176, N = 9SE +/- 0.00324, N = 9SE +/- 0.00215, N = 9SE +/- 0.00628, N = 9SE +/- 0.00338, N = 9SE +/- 0.00834, N = 9SE +/- 0.00336, N = 9SE +/- 0.00157, N = 9SE +/- 0.00235, N = 9SE +/- 0.00304, N = 9SE +/- 0.00168, N = 9SE +/- 0.00637, N = 91.539151.988095.582603.452901.896243.028971.948451.431244.527581.554946.794453.346632.383061.49446MIN: 1.37MIN: 1.83MIN: 5.52MIN: 3.34MIN: 1.77MIN: 2.92MIN: 1.82MIN: 1.26MIN: 4.47MIN: 1.42MIN: 6.75MIN: 3.25MIN: 2.33MIN: 1.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 1.52 / Avg: 1.54 / Max: 1.57Min: 1.98 / Avg: 1.99 / Max: 1.99Min: 5.57 / Avg: 5.58 / Max: 5.59Min: 3.44 / Avg: 3.45 / Max: 3.47Min: 1.89 / Avg: 1.9 / Max: 1.91Min: 2.99 / Avg: 3.03 / Max: 3.05Min: 1.94 / Avg: 1.95 / Max: 1.97Min: 1.41 / Avg: 1.43 / Max: 1.48Min: 4.51 / Avg: 4.53 / Max: 4.54Min: 1.55 / Avg: 1.55 / Max: 1.56Min: 6.79 / Avg: 6.79 / Max: 6.81Min: 3.33 / Avg: 3.35 / Max: 3.36Min: 2.38 / Avg: 2.38 / Max: 2.39Min: 1.48 / Avg: 1.49 / Max: 1.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.06622.13243.19864.26485.331SE +/- 0.00906, N = 4SE +/- 0.00891, N = 4SE +/- 0.00382, N = 4SE +/- 0.00488, N = 4SE +/- 0.00341, N = 4SE +/- 0.01053, N = 4SE +/- 0.00185, N = 4SE +/- 0.01406, N = 4SE +/- 0.00316, N = 4SE +/- 0.00439, N = 4SE +/- 0.00331, N = 4SE +/- 0.00144, N = 4SE +/- 0.00090, N = 4SE +/- 0.00178, N = 41.467751.615023.560203.446681.472221.980351.593001.489813.809551.599384.738662.410821.829511.70360MIN: 1.39MIN: 1.5MIN: 3.44MIN: 2.92MIN: 1.41MIN: 1.86MIN: 1.51MIN: 1.33MIN: 3.44MIN: 1.51MIN: 4.55MIN: 2.2MIN: 1.74MIN: 1.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 1.45 / Avg: 1.47 / Max: 1.49Min: 1.6 / Avg: 1.62 / Max: 1.64Min: 3.55 / Avg: 3.56 / Max: 3.57Min: 3.43 / Avg: 3.45 / Max: 3.45Min: 1.46 / Avg: 1.47 / Max: 1.48Min: 1.96 / Avg: 1.98 / Max: 2.01Min: 1.59 / Avg: 1.59 / Max: 1.6Min: 1.45 / Avg: 1.49 / Max: 1.52Min: 3.8 / Avg: 3.81 / Max: 3.81Min: 1.59 / Avg: 1.6 / Max: 1.61Min: 4.73 / Avg: 4.74 / Max: 4.74Min: 2.41 / Avg: 2.41 / Max: 2.41Min: 1.83 / Avg: 1.83 / Max: 1.83Min: 1.7 / Avg: 1.7 / Max: 1.711. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.75761.51522.27283.03043.788SE +/- 0.00473, N = 4SE +/- 0.00172, N = 4SE +/- 0.00055, N = 4SE +/- 0.00098, N = 4SE +/- 0.00302, N = 4SE +/- 0.00643, N = 4SE +/- 0.00119, N = 4SE +/- 0.01452, N = 4SE +/- 0.00157, N = 4SE +/- 0.01048, N = 4SE +/- 0.00108, N = 4SE +/- 0.00055, N = 4SE +/- 0.00089, N = 4SE +/- 0.01081, N = 41.667501.212302.790341.806471.164021.521431.182041.741992.437601.730073.367271.749751.434871.80598MIN: 1.4MIN: 1.14MIN: 2.71MIN: 1.75MIN: 1.12MIN: 1.48MIN: 1.13MIN: 1.45MIN: 2.4MIN: 1.5MIN: 3.3MIN: 1.72MIN: 1.4MIN: 1.541. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 1.65 / Avg: 1.67 / Max: 1.67Min: 1.21 / Avg: 1.21 / Max: 1.22Min: 2.79 / Avg: 2.79 / Max: 2.79Min: 1.8 / Avg: 1.81 / Max: 1.81Min: 1.16 / Avg: 1.16 / Max: 1.17Min: 1.51 / Avg: 1.52 / Max: 1.54Min: 1.18 / Avg: 1.18 / Max: 1.19Min: 1.72 / Avg: 1.74 / Max: 1.78Min: 2.43 / Avg: 2.44 / Max: 2.44Min: 1.72 / Avg: 1.73 / Max: 1.76Min: 3.37 / Avg: 3.37 / Max: 3.37Min: 1.75 / Avg: 1.75 / Max: 1.75Min: 1.43 / Avg: 1.43 / Max: 1.44Min: 1.78 / Avg: 1.81 / Max: 1.831. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.01041, N = 5SE +/- 0.00475, N = 5SE +/- 0.00869, N = 5SE +/- 0.00189, N = 5SE +/- 0.00208, N = 5SE +/- 0.01324, N = 5SE +/- 0.00256, N = 5SE +/- 0.01221, N = 5SE +/- 0.00853, N = 5SE +/- 0.00795, N = 5SE +/- 0.01715, N = 5SE +/- 0.00471, N = 5SE +/- 0.01609, N = 5SE +/- 0.00630, N = 51.220111.251546.682094.472872.958302.778262.962831.125024.975122.286117.150303.763954.133821.15943MIN: 1.2MIN: 6.52MIN: 4.3MIN: 2.88MIN: 2.68MIN: 2.89MIN: 4.75MIN: 2.2MIN: 6.45MIN: 3.68MIN: 3.911. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 1.19 / Avg: 1.22 / Max: 1.25Min: 1.24 / Avg: 1.25 / Max: 1.26Min: 6.66 / Avg: 6.68 / Max: 6.71Min: 4.47 / Avg: 4.47 / Max: 4.48Min: 2.95 / Avg: 2.96 / Max: 2.97Min: 2.75 / Avg: 2.78 / Max: 2.83Min: 2.96 / Avg: 2.96 / Max: 2.97Min: 1.1 / Avg: 1.13 / Max: 1.17Min: 4.94 / Avg: 4.98 / Max: 4.99Min: 2.26 / Avg: 2.29 / Max: 2.3Min: 7.11 / Avg: 7.15 / Max: 7.19Min: 3.75 / Avg: 3.76 / Max: 3.78Min: 4.08 / Avg: 4.13 / Max: 4.18Min: 1.14 / Avg: 1.16 / Max: 1.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.40040.80081.20121.60162.002SE +/- 0.002582, N = 5SE +/- 0.002578, N = 5SE +/- 0.006135, N = 5SE +/- 0.003097, N = 5SE +/- 0.003216, N = 5SE +/- 0.002832, N = 5SE +/- 0.001432, N = 5SE +/- 0.000841, N = 5SE +/- 0.003339, N = 5SE +/- 0.005510, N = 5SE +/- 0.002555, N = 5SE +/- 0.001293, N = 5SE +/- 0.003852, N = 5SE +/- 0.001522, N = 50.8132800.6411970.7982170.8168261.0004260.4899830.9903161.1460101.0389501.1323701.7794700.6012880.7113171.162730MIN: 0.76MIN: 0.58MIN: 0.75MIN: 0.74MIN: 0.94MIN: 0.45MIN: 0.95MIN: 1.09MIN: 0.95MIN: 1.07MIN: 1.6MIN: 0.56MIN: 0.66MIN: 1.11. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.81 / Avg: 0.81 / Max: 0.82Min: 0.63 / Avg: 0.64 / Max: 0.65Min: 0.79 / Avg: 0.8 / Max: 0.82Min: 0.81 / Avg: 0.82 / Max: 0.83Min: 0.99 / Avg: 1 / Max: 1.01Min: 0.48 / Avg: 0.49 / Max: 0.5Min: 0.99 / Avg: 0.99 / Max: 1Min: 1.14 / Avg: 1.15 / Max: 1.15Min: 1.03 / Avg: 1.04 / Max: 1.05Min: 1.11 / Avg: 1.13 / Max: 1.14Min: 1.78 / Avg: 1.78 / Max: 1.79Min: 0.6 / Avg: 0.6 / Max: 0.6Min: 0.7 / Avg: 0.71 / Max: 0.72Min: 1.16 / Avg: 1.16 / Max: 1.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.45410.90821.36231.81642.2705SE +/- 0.003528, N = 4SE +/- 0.005528, N = 6SE +/- 0.001580, N = 4SE +/- 0.000258, N = 4SE +/- 0.000738, N = 4SE +/- 0.001140, N = 4SE +/- 0.000902, N = 4SE +/- 0.005359, N = 5SE +/- 0.000447, N = 4SE +/- 0.004962, N = 15SE +/- 0.005714, N = 4SE +/- 0.000863, N = 4SE +/- 0.000660, N = 4SE +/- 0.002887, N = 40.4842190.5534441.1601700.8757490.5005210.6604190.5376360.5170231.0934400.5339612.0183800.8022720.5923080.587443MIN: 0.46MIN: 0.49MIN: 1.13MIN: 0.74MIN: 0.48MIN: 0.62MIN: 0.51MIN: 0.47MIN: 0.96MIN: 0.49MIN: 1.95MIN: 0.72MIN: 0.56MIN: 0.541. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.48 / Avg: 0.48 / Max: 0.49Min: 0.54 / Avg: 0.55 / Max: 0.58Min: 1.16 / Avg: 1.16 / Max: 1.16Min: 0.88 / Avg: 0.88 / Max: 0.88Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.66 / Avg: 0.66 / Max: 0.66Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.5 / Avg: 0.52 / Max: 0.53Min: 1.09 / Avg: 1.09 / Max: 1.09Min: 0.51 / Avg: 0.53 / Max: 0.57Min: 2 / Avg: 2.02 / Max: 2.03Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.58 / Avg: 0.59 / Max: 0.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.80631.61262.41893.22524.0315SE +/- 0.001659, N = 4SE +/- 0.001948, N = 4SE +/- 0.000640, N = 4SE +/- 0.001269, N = 4SE +/- 0.005244, N = 4SE +/- 0.001361, N = 4SE +/- 0.003967, N = 4SE +/- 0.000537, N = 4SE +/- 0.001298, N = 4SE +/- 0.000788, N = 4SE +/- 0.001594, N = 4SE +/- 0.001219, N = 4SE +/- 0.009261, N = 15SE +/- 0.002127, N = 40.8631461.1048603.0129201.9130501.0158201.5650301.0739900.7808032.4937200.8680243.5836301.8417801.2959900.800643MIN: 0.77MIN: 0.99MIN: 2.73MIN: 1.87MIN: 0.98MIN: 1.54MIN: 0.98MIN: 0.7MIN: 2.45MIN: 0.81MIN: 3.54MIN: 1.82MIN: 1.25MIN: 0.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.86 / Avg: 0.86 / Max: 0.87Min: 1.1 / Avg: 1.1 / Max: 1.11Min: 3.01 / Avg: 3.01 / Max: 3.01Min: 1.91 / Avg: 1.91 / Max: 1.92Min: 1 / Avg: 1.02 / Max: 1.03Min: 1.56 / Avg: 1.57 / Max: 1.57Min: 1.07 / Avg: 1.07 / Max: 1.08Min: 0.78 / Avg: 0.78 / Max: 0.78Min: 2.49 / Avg: 2.49 / Max: 2.5Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 3.58 / Avg: 3.58 / Max: 3.59Min: 1.84 / Avg: 1.84 / Max: 1.85Min: 1.27 / Avg: 1.3 / Max: 1.37Min: 0.79 / Avg: 0.8 / Max: 0.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500SE +/- 0.57, N = 3SE +/- 2.63, N = 3SE +/- 0.86, N = 3SE +/- 1.43, N = 3SE +/- 1.42, N = 3SE +/- 2.05, N = 3SE +/- 5.60, N = 3SE +/- 8.27, N = 3SE +/- 1.59, N = 3SE +/- 1.32, N = 3SE +/- 5.10, N = 3SE +/- 2.99, N = 3SE +/- 0.54, N = 3SE +/- 5.75, N = 31213.582214.793345.102836.682718.682013.752738.422221.333056.051350.554345.122412.791672.242306.33MIN: 1190.99MIN: 2191.84MIN: 3322.56MIN: 2798.53MIN: 2705.41MIN: 1995.38MIN: 2722.76MIN: 2189.19MIN: 3041.35MIN: 1331.05MIN: 4298.14MIN: 2397.68MIN: 1658.48MIN: 2274.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77028001600240032004000Min: 1212.83 / Avg: 1213.58 / Max: 1214.69Min: 2209.9 / Avg: 2214.79 / Max: 2218.93Min: 3343.83 / Avg: 3345.1 / Max: 3346.73Min: 2834.78 / Avg: 2836.68 / Max: 2839.49Min: 2716.43 / Avg: 2718.68 / Max: 2721.31Min: 2010.58 / Avg: 2013.75 / Max: 2017.58Min: 2731.04 / Avg: 2738.42 / Max: 2749.41Min: 2206.05 / Avg: 2221.33 / Max: 2234.44Min: 3053.73 / Avg: 3056.05 / Max: 3059.09Min: 1347.94 / Avg: 1350.55 / Max: 1352.2Min: 4339.98 / Avg: 4345.12 / Max: 4355.32Min: 2408.58 / Avg: 2412.79 / Max: 2418.57Min: 1671.4 / Avg: 1672.24 / Max: 1673.25Min: 2294.83 / Avg: 2306.33 / Max: 2312.481. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500SE +/- 2.03, N = 3SE +/- 5.23, N = 3SE +/- 0.89, N = 3SE +/- 2.25, N = 3SE +/- 2.43, N = 3SE +/- 6.65, N = 3SE +/- 2.18, N = 3SE +/- 11.35, N = 3SE +/- 3.17, N = 3SE +/- 1.92, N = 3SE +/- 1.97, N = 3SE +/- 0.38, N = 3SE +/- 1.08, N = 3SE +/- 3.86, N = 31210.042230.353345.672834.092721.872013.242743.712230.183057.081352.624347.662410.231674.662296.53MIN: 1190.59MIN: 2212.66MIN: 3327MIN: 2799.34MIN: 2708.11MIN: 1992.69MIN: 2727.14MIN: 2194.78MIN: 3044.36MIN: 1333.53MIN: 4308.62MIN: 2395.31MIN: 1660.31MIN: 2270.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77028001600240032004000Min: 1206.71 / Avg: 1210.04 / Max: 1213.71Min: 2221.2 / Avg: 2230.35 / Max: 2239.31Min: 3344.19 / Avg: 3345.67 / Max: 3347.26Min: 2829.71 / Avg: 2834.09 / Max: 2837.17Min: 2718.51 / Avg: 2721.87 / Max: 2726.6Min: 2003.33 / Avg: 2013.24 / Max: 2025.88Min: 2741.09 / Avg: 2743.71 / Max: 2748.05Min: 2212.51 / Avg: 2230.18 / Max: 2251.36Min: 3051.79 / Avg: 3057.08 / Max: 3062.75Min: 1350.2 / Avg: 1352.62 / Max: 1356.42Min: 4343.96 / Avg: 4347.66 / Max: 4350.69Min: 2409.5 / Avg: 2410.23 / Max: 2410.77Min: 1672.87 / Avg: 1674.66 / Max: 1676.6Min: 2288.81 / Avg: 2296.53 / Max: 2300.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500SE +/- 3.66, N = 3SE +/- 5.96, N = 3SE +/- 2.55, N = 3SE +/- 1.77, N = 3SE +/- 2.51, N = 3SE +/- 0.63, N = 3SE +/- 4.79, N = 3SE +/- 0.34, N = 3SE +/- 0.81, N = 3SE +/- 1.28, N = 3SE +/- 4.35, N = 3SE +/- 3.71, N = 3SE +/- 0.94, N = 3SE +/- 9.75, N = 31211.542221.373348.062835.352716.541997.392740.522203.163059.191350.134348.882407.931673.312314.36MIN: 1187.15MIN: 2198.48MIN: 3331.21MIN: 2800.15MIN: 2705.25MIN: 1989.1MIN: 2722.51MIN: 2183.71MIN: 3051.11MIN: 1333.75MIN: 4311.94MIN: 2392.45MIN: 1660.31MIN: 2276.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77028001600240032004000Min: 1207.18 / Avg: 1211.54 / Max: 1218.81Min: 2213.13 / Avg: 2221.37 / Max: 2232.96Min: 3342.99 / Avg: 3348.06 / Max: 3351.09Min: 2831.82 / Avg: 2835.35 / Max: 2837.39Min: 2713.68 / Avg: 2716.54 / Max: 2721.54Min: 1996.27 / Avg: 1997.39 / Max: 1998.44Min: 2731.74 / Avg: 2740.52 / Max: 2748.21Min: 2202.51 / Avg: 2203.16 / Max: 2203.65Min: 3057.83 / Avg: 3059.19 / Max: 3060.62Min: 1347.63 / Avg: 1350.13 / Max: 1351.85Min: 4341.28 / Avg: 4348.88 / Max: 4356.33Min: 2401.58 / Avg: 2407.93 / Max: 2414.43Min: 1671.47 / Avg: 1673.31 / Max: 1674.53Min: 2296.67 / Avg: 2314.36 / Max: 2330.291. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025001000150020002500SE +/- 1.28, N = 3SE +/- 1.51, N = 3SE +/- 0.51, N = 3SE +/- 3.12, N = 3SE +/- 4.31, N = 3SE +/- 1.61, N = 3SE +/- 5.72, N = 3SE +/- 1.17, N = 3SE +/- 2.69, N = 3SE +/- 2.70, N = 3SE +/- 2.26, N = 3SE +/- 0.19, N = 3SE +/- 0.91, N = 3SE +/- 3.54, N = 3732.81813.121745.541882.64890.48997.85902.26793.202022.45787.432397.561229.69972.93874.44MIN: 712.9MIN: 799.88MIN: 1733.89MIN: 1853.21MIN: 867.03MIN: 987.15MIN: 882.8MIN: 776.66MIN: 2012.67MIN: 769.99MIN: 2367.09MIN: 1221.64MIN: 960.02MIN: 847.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400800120016002000Min: 731.06 / Avg: 732.81 / Max: 735.31Min: 810.1 / Avg: 813.12 / Max: 814.7Min: 1744.59 / Avg: 1745.54 / Max: 1746.31Min: 1876.41 / Avg: 1882.64 / Max: 1885.98Min: 882.05 / Avg: 890.48 / Max: 896.25Min: 995.25 / Avg: 997.85 / Max: 1000.79Min: 890.83 / Avg: 902.26 / Max: 908.5Min: 790.85 / Avg: 793.2 / Max: 794.46Min: 2018.73 / Avg: 2022.45 / Max: 2027.68Min: 782.55 / Avg: 787.43 / Max: 791.88Min: 2394.02 / Avg: 2397.56 / Max: 2401.75Min: 1229.46 / Avg: 1229.69 / Max: 1230.06Min: 971.59 / Avg: 972.93 / Max: 974.66Min: 868.68 / Avg: 874.44 / Max: 880.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025001000150020002500SE +/- 3.28, N = 3SE +/- 1.32, N = 3SE +/- 0.95, N = 3SE +/- 5.33, N = 3SE +/- 1.35, N = 3SE +/- 3.97, N = 3SE +/- 2.58, N = 3SE +/- 1.88, N = 3SE +/- 4.61, N = 3SE +/- 2.09, N = 3SE +/- 3.61, N = 3SE +/- 0.54, N = 3SE +/- 1.57, N = 3SE +/- 2.81, N = 3734.40812.991742.791886.30886.88998.67919.61793.232032.88784.822397.221227.56974.12878.20MIN: 716.82MIN: 799.51MIN: 1728.82MIN: 1851.55MIN: 865.5MIN: 987.09MIN: 906.32MIN: 777.03MIN: 2016.92MIN: 771.05MIN: 2370.41MIN: 1218.44MIN: 962.55MIN: 851.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400800120016002000Min: 728.04 / Avg: 734.4 / Max: 738.94Min: 810.37 / Avg: 812.99 / Max: 814.64Min: 1741.68 / Avg: 1742.79 / Max: 1744.69Min: 1876.6 / Avg: 1886.3 / Max: 1894.99Min: 884.18 / Avg: 886.88 / Max: 888.33Min: 991.29 / Avg: 998.67 / Max: 1004.91Min: 916.98 / Avg: 919.61 / Max: 924.77Min: 791.29 / Avg: 793.23 / Max: 796.99Min: 2023.66 / Avg: 2032.88 / Max: 2037.71Min: 780.67 / Avg: 784.82 / Max: 787.4Min: 2392.08 / Avg: 2397.22 / Max: 2404.17Min: 1226.72 / Avg: 1227.56 / Max: 1228.57Min: 971.07 / Avg: 974.12 / Max: 976.32Min: 873.24 / Avg: 878.2 / Max: 882.971. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77025001000150020002500SE +/- 2.51, N = 3SE +/- 2.11, N = 3SE +/- 2.16, N = 3SE +/- 4.32, N = 3SE +/- 1.82, N = 3SE +/- 0.99, N = 3SE +/- 5.94, N = 3SE +/- 0.96, N = 3SE +/- 1.28, N = 3SE +/- 1.66, N = 3SE +/- 4.09, N = 3SE +/- 1.03, N = 3SE +/- 0.65, N = 3SE +/- 3.99, N = 3735.82814.031744.751884.70888.54999.14917.61792.552029.28782.652398.981228.50972.77875.71MIN: 715.63MIN: 801.22MIN: 1731.94MIN: 1853.9MIN: 872.96MIN: 991.16MIN: 892.04MIN: 773.96MIN: 2020.38MIN: 769.36MIN: 2367.55MIN: 1219.05MIN: 962.66MIN: 846.671. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400800120016002000Min: 731.42 / Avg: 735.82 / Max: 740.12Min: 810.97 / Avg: 814.03 / Max: 818.07Min: 1742.54 / Avg: 1744.75 / Max: 1749.07Min: 1878.26 / Avg: 1884.7 / Max: 1892.91Min: 885.37 / Avg: 888.54 / Max: 891.69Min: 997.98 / Avg: 999.14 / Max: 1001.1Min: 907.1 / Avg: 917.61 / Max: 927.67Min: 791.43 / Avg: 792.55 / Max: 794.46Min: 2026.92 / Avg: 2029.28 / Max: 2031.33Min: 779.51 / Avg: 782.65 / Max: 785.17Min: 2391.8 / Avg: 2398.98 / Max: 2405.96Min: 1226.65 / Avg: 1228.5 / Max: 1230.2Min: 971.9 / Avg: 972.77 / Max: 974.05Min: 869.12 / Avg: 875.71 / Max: 882.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500SE +/- 2.50, N = 3SE +/- 1.33, N = 3SE +/- 19.31, N = 3SE +/- 7.78, N = 3SE +/- 3.65, N = 3SE +/- 3.08, N = 3SE +/- 1.04, N = 3SE +/- 0.31, N = 3SE +/- 9.26, N = 3SE +/- 2.44, N = 3SE +/- 14.48, N = 3SE +/- 1.52, N = 3SE +/- 12.54, N = 3SE +/- 12.73, N = 33059.052815.801836.512527.862579.791976.702794.253562.632434.173325.992298.632414.742507.584029.98
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77027001400210028003500Min: 3056.48 / Avg: 3059.05 / Max: 3064.04Min: 2813.23 / Avg: 2815.8 / Max: 2817.7Min: 1797.95 / Avg: 1836.51 / Max: 1857.52Min: 2515.93 / Avg: 2527.86 / Max: 2542.47Min: 2575.39 / Avg: 2579.79 / Max: 2587.03Min: 1971.22 / Avg: 1976.7 / Max: 1981.88Min: 2792.4 / Avg: 2794.25 / Max: 2795.99Min: 3562.19 / Avg: 3562.63 / Max: 3563.22Min: 2418.87 / Avg: 2434.17 / Max: 2450.86Min: 3322.37 / Avg: 3325.99 / Max: 3330.62Min: 2271.79 / Avg: 2298.63 / Max: 2321.46Min: 2412.09 / Avg: 2414.74 / Max: 2417.36Min: 2482.49 / Avg: 2507.58 / Max: 2520.14Min: 4015.57 / Avg: 4029.98 / Max: 4055.36

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500SE +/- 1.92, N = 3SE +/- 2.24, N = 3SE +/- 14.55, N = 3SE +/- 13.37, N = 3SE +/- 2.29, N = 3SE +/- 1.86, N = 3SE +/- 0.81, N = 3SE +/- 0.45, N = 3SE +/- 34.12, N = 3SE +/- 3.41, N = 3SE +/- 17.95, N = 3SE +/- 2.67, N = 3SE +/- 3.50, N = 3SE +/- 8.92, N = 33069.382814.151844.312446.022572.361980.562791.543558.092406.223327.502314.662413.452522.614030.53
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77027001400210028003500Min: 3065.61 / Avg: 3069.38 / Max: 3071.93Min: 2809.91 / Avg: 2814.15 / Max: 2817.55Min: 1815.75 / Avg: 1844.31 / Max: 1863.4Min: 2426.14 / Avg: 2446.02 / Max: 2471.46Min: 2567.84 / Avg: 2572.36 / Max: 2575.2Min: 1978.38 / Avg: 1980.56 / Max: 1984.26Min: 2789.93 / Avg: 2791.54 / Max: 2792.44Min: 3557.24 / Avg: 3558.09 / Max: 3558.76Min: 2355.5 / Avg: 2406.22 / Max: 2471.13Min: 3322.21 / Avg: 3327.5 / Max: 3333.86Min: 2283.58 / Avg: 2314.66 / Max: 2345.75Min: 2410.34 / Avg: 2413.45 / Max: 2418.77Min: 2516.2 / Avg: 2522.61 / Max: 2528.27Min: 4020.18 / Avg: 4030.53 / Max: 4048.29

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.27230.54460.81691.08921.3615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 15SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.020.950.790.780.770.810.841.060.890.990.980.840.921.21
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 1.01 / Avg: 1.02 / Max: 1.02Min: 0.95 / Avg: 0.95 / Max: 0.95Min: 0.78 / Avg: 0.79 / Max: 0.81Min: 0.77 / Avg: 0.78 / Max: 0.79Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.8 / Avg: 0.81 / Max: 0.82Min: 0.83 / Avg: 0.84 / Max: 0.84Min: 1.06 / Avg: 1.06 / Max: 1.07Min: 0.87 / Avg: 0.89 / Max: 0.91Min: 0.99 / Avg: 0.99 / Max: 0.99Min: 0.91 / Avg: 0.98 / Max: 1.03Min: 0.83 / Avg: 0.84 / Max: 0.84Min: 0.91 / Avg: 0.92 / Max: 0.93Min: 1.21 / Avg: 1.21 / Max: 1.21

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.27450.5490.82351.0981.3725SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.020.950.780.790.770.790.841.070.870.990.960.840.881.22
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 1.01 / Avg: 1.02 / Max: 1.02Min: 0.95 / Avg: 0.95 / Max: 0.95Min: 0.78 / Avg: 0.78 / Max: 0.79Min: 0.77 / Avg: 0.79 / Max: 0.81Min: 0.77 / Avg: 0.77 / Max: 0.78Min: 0.78 / Avg: 0.79 / Max: 0.79Min: 0.83 / Avg: 0.84 / Max: 0.84Min: 1.06 / Avg: 1.07 / Max: 1.07Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.98 / Avg: 0.99 / Max: 0.99Min: 0.94 / Avg: 0.96 / Max: 0.99Min: 0.83 / Avg: 0.84 / Max: 0.84Min: 0.87 / Avg: 0.88 / Max: 0.91Min: 1.21 / Avg: 1.22 / Max: 1.22

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770211002200330044005500SE +/- 4.94, N = 3SE +/- 10.25, N = 3SE +/- 4.62, N = 3SE +/- 2.79, N = 3SE +/- 2.78, N = 3SE +/- 1.31, N = 3SE +/- 1.53, N = 3SE +/- 6.15, N = 3SE +/- 9.03, N = 3SE +/- 5.33, N = 3SE +/- 3.19, N = 3SE +/- 5.57, N = 3SE +/- 14.72, N = 3SE +/- 6.77, N = 34132.133757.352399.193344.393276.522643.393578.094731.723264.494197.603071.913145.893310.915170.99
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500Min: 4122.78 / Avg: 4132.13 / Max: 4139.56Min: 3741.86 / Avg: 3757.35 / Max: 3776.73Min: 2393.6 / Avg: 2399.19 / Max: 2408.36Min: 3340.81 / Avg: 3344.39 / Max: 3349.89Min: 3273.17 / Avg: 3276.52 / Max: 3282.04Min: 2641.61 / Avg: 2643.39 / Max: 2645.95Min: 3576.1 / Avg: 3578.09 / Max: 3581.09Min: 4723.88 / Avg: 4731.72 / Max: 4743.85Min: 3253.32 / Avg: 3264.49 / Max: 3282.36Min: 4187.64 / Avg: 4197.6 / Max: 4205.86Min: 3065.98 / Avg: 3071.91 / Max: 3076.9Min: 3138.42 / Avg: 3145.89 / Max: 3156.77Min: 3286.85 / Avg: 3310.91 / Max: 3337.63Min: 5162.09 / Avg: 5170.99 / Max: 5184.28

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770211002200330044005500SE +/- 14.85, N = 3SE +/- 3.83, N = 3SE +/- 1.90, N = 3SE +/- 1.17, N = 3SE +/- 5.09, N = 3SE +/- 4.58, N = 3SE +/- 1.62, N = 3SE +/- 4.63, N = 3SE +/- 8.60, N = 3SE +/- 8.65, N = 3SE +/- 10.38, N = 3SE +/- 5.33, N = 3SE +/- 4.18, N = 3SE +/- 6.37, N = 34138.693754.852409.033342.133271.262649.353582.564732.733265.934203.813090.583155.853315.635153.99
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500Min: 4119.13 / Avg: 4138.69 / Max: 4167.82Min: 3748.56 / Avg: 3754.85 / Max: 3761.77Min: 2405.41 / Avg: 2409.03 / Max: 2411.84Min: 3339.82 / Avg: 3342.13 / Max: 3343.55Min: 3264.96 / Avg: 3271.26 / Max: 3281.33Min: 2640.2 / Avg: 2649.35 / Max: 2654.02Min: 3579.4 / Avg: 3582.56 / Max: 3584.73Min: 4726.94 / Avg: 4732.73 / Max: 4741.89Min: 3248.92 / Avg: 3265.93 / Max: 3276.67Min: 4186.54 / Avg: 4203.81 / Max: 4213.33Min: 3072.59 / Avg: 3090.58 / Max: 3108.55Min: 3145.96 / Avg: 3155.85 / Max: 3164.23Min: 3309.61 / Avg: 3315.63 / Max: 3323.66Min: 5142.04 / Avg: 5153.99 / Max: 5163.81

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280160240320400SE +/- 0.40, N = 3SE +/- 0.88, N = 3SE +/- 0.35, N = 3SE +/- 0.21, N = 3SE +/- 0.10, N = 3SE +/- 0.41, N = 3SE +/- 0.72, N = 3SE +/- 0.29, N = 3SE +/- 0.22, N = 3SE +/- 0.46, N = 3SE +/- 0.14, N = 3SE +/- 0.94, N = 3SE +/- 0.03, N = 3SE +/- 0.62, N = 3341.93344.25286.43350.76333.28288.47336.89342.47347.77344.33347.18339.05336.66333.30MIN: 337.09 / MAX: 359.76MIN: 339.59 / MAX: 367.05MIN: 283.81 / MAX: 294.29MIN: 346.27 / MAX: 363.67MIN: 329.87 / MAX: 349.8MIN: 285.34 / MAX: 304.15MIN: 332.6 / MAX: 347.08MIN: 338.7 / MAX: 360.58MIN: 345.44 / MAX: 366.04MIN: 340.96 / MAX: 358.42MIN: 343.85 / MAX: 356.42MIN: 335.68 / MAX: 355.89MIN: 333.97 / MAX: 348.51MIN: 330.49 / MAX: 343.731. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300Min: 341.17 / Avg: 341.93 / Max: 342.54Min: 342.92 / Avg: 344.25 / Max: 345.93Min: 285.73 / Avg: 286.43 / Max: 286.81Min: 350.35 / Avg: 350.76 / Max: 351.03Min: 333.14 / Avg: 333.28 / Max: 333.46Min: 287.8 / Avg: 288.47 / Max: 289.23Min: 335.5 / Avg: 336.89 / Max: 337.88Min: 342 / Avg: 342.47 / Max: 343.01Min: 347.4 / Avg: 347.77 / Max: 348.16Min: 343.4 / Avg: 344.33 / Max: 344.79Min: 347.01 / Avg: 347.18 / Max: 347.46Min: 337.77 / Avg: 339.05 / Max: 340.89Min: 336.61 / Avg: 336.66 / Max: 336.68Min: 332.62 / Avg: 333.3 / Max: 334.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770270140210280350SE +/- 1.03, N = 3SE +/- 0.26, N = 3SE +/- 0.36, N = 3SE +/- 1.44, N = 3SE +/- 0.29, N = 3SE +/- 0.12, N = 3SE +/- 0.71, N = 3SE +/- 0.83, N = 3SE +/- 0.11, N = 3SE +/- 1.22, N = 3SE +/- 0.77, N = 3SE +/- 0.82, N = 3SE +/- 0.19, N = 3SE +/- 0.80, N = 3318.67318.58269.64328.64308.94269.92312.89317.55328.36318.67327.99318.37314.31313.01MIN: 315.68 / MAX: 321.91MIN: 315.09 / MAX: 320.21MIN: 267.19 / MAX: 279.76MIN: 325.19 / MAX: 342.8MIN: 306.29 / MAX: 322.41MIN: 267.18 / MAX: 272.47MIN: 310.9 / MAX: 315.08MIN: 315.59 / MAX: 319.4MIN: 325.02 / MAX: 339.93MIN: 315.63 / MAX: 323.01MIN: 325.21 / MAX: 329.77MIN: 315.66 / MAX: 323.53MIN: 311.3 / MAX: 317.52MIN: 310.72 / MAX: 314.661. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300Min: 316.65 / Avg: 318.67 / Max: 319.98Min: 318.08 / Avg: 318.58 / Max: 318.92Min: 269.01 / Avg: 269.64 / Max: 270.25Min: 325.78 / Avg: 328.64 / Max: 330.41Min: 308.42 / Avg: 308.94 / Max: 309.44Min: 269.68 / Avg: 269.92 / Max: 270.07Min: 311.52 / Avg: 312.89 / Max: 313.94Min: 316.01 / Avg: 317.55 / Max: 318.87Min: 328.14 / Avg: 328.36 / Max: 328.49Min: 316.23 / Avg: 318.67 / Max: 320.01Min: 326.49 / Avg: 327.99 / Max: 329.05Min: 317.19 / Avg: 318.37 / Max: 319.96Min: 313.92 / Avg: 314.31 / Max: 314.52Min: 311.43 / Avg: 313.01 / Max: 313.951. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021.05532.11063.16594.22125.2765SE +/- 0.016, N = 3SE +/- 0.008, N = 3SE +/- 0.011, N = 3SE +/- 0.021, N = 15SE +/- 0.024, N = 3SE +/- 0.024, N = 15SE +/- 0.015, N = 15SE +/- 0.006, N = 3SE +/- 0.009, N = 3SE +/- 0.022, N = 3SE +/- 0.004, N = 3SE +/- 0.029, N = 12SE +/- 0.017, N = 3SE +/- 0.016, N = 31.7012.1034.1452.5961.9152.6971.9351.6433.1371.7594.6902.6062.1011.7981. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 1.68 / Avg: 1.7 / Max: 1.73Min: 2.09 / Avg: 2.1 / Max: 2.11Min: 4.13 / Avg: 4.14 / Max: 4.16Min: 2.49 / Avg: 2.6 / Max: 2.73Min: 1.87 / Avg: 1.91 / Max: 1.95Min: 2.5 / Avg: 2.7 / Max: 2.86Min: 1.84 / Avg: 1.94 / Max: 2.02Min: 1.63 / Avg: 1.64 / Max: 1.65Min: 3.13 / Avg: 3.14 / Max: 3.16Min: 1.73 / Avg: 1.76 / Max: 1.8Min: 4.68 / Avg: 4.69 / Max: 4.7Min: 2.42 / Avg: 2.61 / Max: 2.71Min: 2.07 / Avg: 2.1 / Max: 2.12Min: 1.77 / Avg: 1.8 / Max: 1.821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.12220.24440.36660.48880.611SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 3SE +/- 0.000, N = 30.1200.1730.4640.2900.1530.2630.1640.1090.3590.1200.5430.2800.2010.1121. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.17 / Avg: 0.17 / Max: 0.17Min: 0.46 / Avg: 0.46 / Max: 0.47Min: 0.29 / Avg: 0.29 / Max: 0.29Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.26 / Avg: 0.26 / Max: 0.26Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.11 / Avg: 0.11 / Max: 0.11Min: 0.36 / Avg: 0.36 / Max: 0.36Min: 0.12 / Avg: 0.12 / Max: 0.12Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.28 / Avg: 0.28 / Max: 0.28Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.11 / Avg: 0.11 / Max: 0.111. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.031, N = 3SE +/- 0.063, N = 5SE +/- 0.020, N = 3SE +/- 0.011, N = 3SE +/- 0.034, N = 13SE +/- 0.029, N = 3SE +/- 0.056, N = 3SE +/- 0.063, N = 3SE +/- 0.040, N = 3SE +/- 0.069, N = 3SE +/- 0.004, N = 3SE +/- 0.082, N = 6SE +/- 0.075, N = 4SE +/- 0.034, N = 34.9725.64812.1767.7915.3698.8765.4814.6179.9394.87214.1238.2586.0674.8041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620Min: 4.91 / Avg: 4.97 / Max: 5.01Min: 5.51 / Avg: 5.65 / Max: 5.86Min: 12.14 / Avg: 12.18 / Max: 12.2Min: 7.77 / Avg: 7.79 / Max: 7.81Min: 4.97 / Avg: 5.37 / Max: 5.44Min: 8.83 / Avg: 8.88 / Max: 8.93Min: 5.37 / Avg: 5.48 / Max: 5.55Min: 4.51 / Avg: 4.62 / Max: 4.73Min: 9.87 / Avg: 9.94 / Max: 10.01Min: 4.76 / Avg: 4.87 / Max: 5Min: 14.12 / Avg: 14.12 / Max: 14.13Min: 7.91 / Avg: 8.26 / Max: 8.44Min: 5.94 / Avg: 6.07 / Max: 6.22Min: 4.76 / Avg: 4.8 / Max: 4.871. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.33140.66280.99421.32561.657SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 30.3230.4261.1730.7290.3820.6300.4070.2670.9080.3161.4730.6790.4800.2791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 0.43 / Avg: 0.43 / Max: 0.43Min: 1.17 / Avg: 1.17 / Max: 1.18Min: 0.73 / Avg: 0.73 / Max: 0.73Min: 0.38 / Avg: 0.38 / Max: 0.38Min: 0.63 / Avg: 0.63 / Max: 0.63Min: 0.41 / Avg: 0.41 / Max: 0.41Min: 0.26 / Avg: 0.27 / Max: 0.27Min: 0.9 / Avg: 0.91 / Max: 0.91Min: 0.32 / Avg: 0.32 / Max: 0.32Min: 1.47 / Avg: 1.47 / Max: 1.48Min: 0.68 / Avg: 0.68 / Max: 0.68Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.28 / Avg: 0.28 / Max: 0.281. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

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 7302PEPYC 7402PEPYC 77024K8K12K16K20KSE +/- 109.57, N = 9SE +/- 112.86, N = 15SE +/- 118.92, N = 513564.1714033.7019829.41
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Akka Unbalanced Cobwebbed TreeEPYC 7302PEPYC 7402PEPYC 77023K6K9K12K15KMin: 12862.78 / Avg: 13564.17 / Max: 13941.72Min: 13276.43 / Avg: 14033.7 / Max: 14919.35Min: 19533.5 / Avg: 19829.41 / Max: 20169.52

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestEPYC 7302PEPYC 7402PEPYC 77025001000150020002500SE +/- 14.97, N = 25SE +/- 16.12, N = 25SE +/- 16.39, N = 52167.672059.092114.38
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Random ForestEPYC 7302PEPYC 7402PEPYC 7702400800120016002000Min: 2048.25 / Avg: 2167.67 / Max: 2398.13Min: 1853.69 / Avg: 2059.09 / Max: 2183.92Min: 2077.52 / Avg: 2114.38 / Max: 2169.74

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankEPYC 7302PEPYC 7402PEPYC 77029001800270036004500SE +/- 38.13, N = 25SE +/- 44.65, N = 25SE +/- 44.71, N = 53992.303856.014023.97
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Apache Spark PageRankEPYC 7302PEPYC 7402PEPYC 77027001400210028003500Min: 3512.82 / Avg: 3992.3 / Max: 4205.12Min: 3307.9 / Avg: 3856.01 / Max: 4180.59Min: 3891.75 / Avg: 4023.97 / Max: 4135.13

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutEPYC 7302PEPYC 7402PEPYC 770211002200330044005500SE +/- 58.56, N = 8SE +/- 31.07, N = 25SE +/- 22.10, N = 54254.654340.285000.14
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: In-Memory Database ShootoutEPYC 7302PEPYC 7402PEPYC 77029001800270036004500Min: 4090.92 / Avg: 4254.65 / Max: 4484.41Min: 3988.26 / Avg: 4340.28 / Max: 4553.94Min: 4929.24 / Avg: 5000.14 / Max: 5053

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala DottyEPYC 7402PEPYC 7702400800120016002000SE +/- 6.43, N = 5SE +/- 8.07, N = 51777.321784.87
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Scala DottyEPYC 7402PEPYC 770230060090012001500Min: 1759.68 / Avg: 1777.32 / Max: 1795.07Min: 1766.58 / Avg: 1784.87 / Max: 1809.96

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsEPYC 7402PEPYC 77028001600240032004000SE +/- 19.25, N = 5SE +/- 17.47, N = 52698.593811.02
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Twitter HTTP RequestsEPYC 7402PEPYC 77027001400210028003500Min: 2627.95 / Avg: 2698.59 / Max: 2739.55Min: 3758.54 / Avg: 3811.02 / Max: 3848.59

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Genetic Algorithm Using Jenetics + FuturesEPYC 7402PEPYC 770230060090012001500SE +/- 4.27, N = 5SE +/- 7.23, N = 51468.681479.04
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.10.0Test: Genetic Algorithm Using Jenetics + FuturesEPYC 7402PEPYC 770230060090012001500Min: 1458.73 / Avg: 1468.68 / Max: 1482.43Min: 1463.48 / Avg: 1479.04 / Max: 1506.41

FinanceBench

FinanceBench is a collection of financial program benchmarks with support for benchmarking on the GPU via OpenCL and CPU benchmarking with OpenMP. The FinanceBench test cases are focused on Black-Sholes-Merton Process with Analytic European Option engine, QMC (Sobol) Monte-Carlo method (Equity Option Example), Bonds Fixed-rate bond with flat forward curve, and Repo Securities repurchase agreement. FinanceBench was originally written by the Cavazos Lab at University of Delaware. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220K40K60K80K100KSE +/- 287.97, N = 3SE +/- 185.79, N = 3SE +/- 402.31, N = 3SE +/- 26.41, N = 3SE +/- 395.61, N = 3SE +/- 294.03, N = 3SE +/- 966.88, N = 3SE +/- 203.38, N = 3SE +/- 75.52, N = 3SE +/- 200.17, N = 3SE +/- 461.99, N = 3SE +/- 397.99, N = 3SE +/- 232.73, N = 390157.2876027.9892896.6286946.6176410.1188487.5790672.4592387.2590310.9092426.4989863.2688634.3188553.781. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Bonds OpenMPEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770216K32K48K64K80KMin: 89581.38 / Avg: 90157.28 / Max: 90451.57Min: 75656.88 / Avg: 76027.98 / Max: 76230.05Min: 92266.52 / Avg: 92896.62 / Max: 93645.02Min: 86896.07 / Avg: 86946.61 / Max: 86985.19Min: 75619.2 / Avg: 76410.11 / Max: 76824.91Min: 88176.03 / Avg: 88487.57 / Max: 89075.27Min: 89694.92 / Avg: 90672.45 / Max: 92606.17Min: 92154.74 / Avg: 92387.25 / Max: 92792.54Min: 90159.87 / Avg: 90310.9 / Max: 90387.48Min: 92207.57 / Avg: 92426.49 / Max: 92826.23Min: 89400.2 / Avg: 89863.26 / Max: 90787.24Min: 88093.03 / Avg: 88634.31 / Max: 89410.36Min: 88306.55 / Avg: 88553.78 / Max: 89018.951. (CXX) g++ options: -O3 -march=native -fopenmp

OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770211K22K33K44K55KSE +/- 133.22, N = 3SE +/- 107.65, N = 3SE +/- 109.50, N = 3SE +/- 84.26, N = 3SE +/- 174.69, N = 3SE +/- 71.59, N = 3SE +/- 71.36, N = 3SE +/- 108.67, N = 3SE +/- 241.95, N = 3SE +/- 275.73, N = 3SE +/- 383.79, N = 3SE +/- 17.38, N = 3SE +/- 45.54, N = 351428.8943548.6352977.6050076.2743527.2850609.0451437.7952936.9851630.5053237.6851629.1050474.7051015.871. (CXX) g++ options: -O3 -march=native -fopenmp
OpenBenchmarking.orgms, Fewer Is BetterFinanceBench 2016-07-25Benchmark: Repo OpenMPEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029K18K27K36K45KMin: 51271.63 / Avg: 51428.89 / Max: 51693.79Min: 43343.38 / Avg: 43548.63 / Max: 43707.56Min: 52852.14 / Avg: 52977.6 / Max: 53195.79Min: 49985.34 / Avg: 50076.27 / Max: 50244.61Min: 43324.05 / Avg: 43527.28 / Max: 43875.02Min: 50528.84 / Avg: 50609.04 / Max: 50751.85Min: 51363.7 / Avg: 51437.79 / Max: 51580.48Min: 52784.59 / Avg: 52936.98 / Max: 53147.39Min: 51347.45 / Avg: 51630.5 / Max: 52111.92Min: 52860.58 / Avg: 53237.68 / Max: 53774.7Min: 51241.3 / Avg: 51629.1 / Max: 52396.66Min: 50450.23 / Avg: 50474.7 / Max: 50508.32Min: 50939.99 / Avg: 51015.87 / Max: 51097.431. (CXX) g++ options: -O3 -march=native -fopenmp

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430SE +/- 1.02, N = 12SE +/- 0.22, N = 11SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.27, N = 3SE +/- 0.04, N = 3SE +/- 1.26, N = 9SE +/- 0.01, N = 3SE +/- 2.17, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.94, N = 917.7811.557.137.8810.1510.1110.0723.017.3216.057.617.858.4122.98MIN: 12.27 / MAX: 35.04MIN: 10.24 / MAX: 25.89MIN: 6.91 / MAX: 7.7MIN: 7.53 / MAX: 17.78MIN: 9.54 / MAX: 14.14MIN: 9.12 / MAX: 13.81MIN: 9.55 / MAX: 13.68MIN: 14.46 / MAX: 130.77MIN: 7.06 / MAX: 11.87MIN: 12.41 / MAX: 30.85MIN: 7.45 / MAX: 8.18MIN: 7.44 / MAX: 11.79MIN: 7.96 / MAX: 10.39MIN: 15.37 / MAX: 193.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 12.86 / Avg: 17.78 / Max: 24.89Min: 10.7 / Avg: 11.55 / Max: 13.04Min: 7.08 / Avg: 7.13 / Max: 7.18Min: 7.86 / Avg: 7.88 / Max: 7.9Min: 9.86 / Avg: 10.15 / Max: 10.44Min: 9.76 / Avg: 10.11 / Max: 10.65Min: 10 / Avg: 10.07 / Max: 10.13Min: 16.68 / Avg: 23.01 / Max: 27.84Min: 7.3 / Avg: 7.32 / Max: 7.34Min: 13.72 / Avg: 16.05 / Max: 20.38Min: 7.59 / Avg: 7.61 / Max: 7.64Min: 7.8 / Avg: 7.85 / Max: 7.92Min: 8.33 / Avg: 8.41 / Max: 8.48Min: 19.59 / Avg: 22.98 / Max: 29.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.60, N = 12SE +/- 0.18, N = 11SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.19, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 1.03, N = 9SE +/- 0.01, N = 3SE +/- 1.69, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.75, N = 915.9410.516.586.949.208.749.1120.296.5414.216.727.318.1320.70MIN: 11.89 / MAX: 108.3MIN: 9.5 / MAX: 16.4MIN: 6.13 / MAX: 7.08MIN: 6.68 / MAX: 16.72MIN: 8.74 / MAX: 13.15MIN: 8.27 / MAX: 12.35MIN: 8.69 / MAX: 12.94MIN: 13.64 / MAX: 155.26MIN: 6.36 / MAX: 10.78MIN: 11.65 / MAX: 24.12MIN: 6.58 / MAX: 8.56MIN: 7.02 / MAX: 19.94MIN: 7.77 / MAX: 9.9MIN: 14.71 / MAX: 286.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 13.25 / Avg: 15.94 / Max: 19.97Min: 9.94 / Avg: 10.51 / Max: 11.53Min: 6.55 / Avg: 6.58 / Max: 6.62Min: 6.9 / Avg: 6.94 / Max: 6.96Min: 8.99 / Avg: 9.2 / Max: 9.58Min: 8.53 / Avg: 8.74 / Max: 9.13Min: 8.97 / Avg: 9.11 / Max: 9.18Min: 14.9 / Avg: 20.29 / Max: 23.39Min: 6.53 / Avg: 6.54 / Max: 6.55Min: 12.47 / Avg: 14.21 / Max: 17.58Min: 6.68 / Avg: 6.72 / Max: 6.76Min: 7.21 / Avg: 7.31 / Max: 7.46Min: 8.05 / Avg: 8.13 / Max: 8.19Min: 17.42 / Avg: 20.7 / Max: 24.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.42, N = 12SE +/- 0.07, N = 11SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.36, N = 3SE +/- 0.04, N = 3SE +/- 0.61, N = 9SE +/- 0.03, N = 3SE +/- 0.60, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.35, N = 914.0610.689.608.879.979.999.9417.299.6112.8210.208.919.5216.71MIN: 11.71 / MAX: 20.88MIN: 10.17 / MAX: 154.31MIN: 9.43 / MAX: 10.04MIN: 8.52 / MAX: 34.05MIN: 9.68 / MAX: 12.72MIN: 9.5 / MAX: 11.56MIN: 9.64 / MAX: 11.99MIN: 13.68 / MAX: 128.19MIN: 9.51 / MAX: 13.18MIN: 12.07 / MAX: 17.58MIN: 10.07 / MAX: 10.8MIN: 8.74 / MAX: 12.61MIN: 9.28 / MAX: 10.99MIN: 14.39 / MAX: 153.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620Min: 12.14 / Avg: 14.06 / Max: 16.52Min: 10.49 / Avg: 10.68 / Max: 11.36Min: 9.56 / Avg: 9.6 / Max: 9.68Min: 8.8 / Avg: 8.87 / Max: 8.94Min: 9.83 / Avg: 9.97 / Max: 10.05Min: 9.61 / Avg: 9.99 / Max: 10.71Min: 9.85 / Avg: 9.94 / Max: 9.98Min: 13.79 / Avg: 17.29 / Max: 19.27Min: 9.56 / Avg: 9.61 / Max: 9.65Min: 12.17 / Avg: 12.82 / Max: 14.01Min: 10.18 / Avg: 10.2 / Max: 10.21Min: 8.84 / Avg: 8.91 / Max: 8.99Min: 9.47 / Avg: 9.52 / Max: 9.55Min: 14.5 / Avg: 16.71 / Max: 17.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.94, N = 12SE +/- 0.23, N = 11SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.37, N = 3SE +/- 0.31, N = 3SE +/- 0.05, N = 3SE +/- 1.14, N = 9SE +/- 0.02, N = 3SE +/- 2.35, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 2SE +/- 0.77, N = 916.7110.386.426.959.288.729.0722.056.4915.496.647.328.1622.34MIN: 11.37 / MAX: 30.58MIN: 9.3 / MAX: 16.29MIN: 6.09 / MAX: 7.09MIN: 6.71 / MAX: 14.84MIN: 8.66 / MAX: 11.37MIN: 8.12 / MAX: 10.61MIN: 8.75 / MAX: 11.1MIN: 13.54 / MAX: 37.68MIN: 6.37 / MAX: 6.92MIN: 11.65 / MAX: 28.64MIN: 6.54 / MAX: 7.23MIN: 7.05 / MAX: 8.22MIN: 7.75 / MAX: 9.91MIN: 14.54 / MAX: 162.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 12.43 / Avg: 16.71 / Max: 22.78Min: 9.65 / Avg: 10.38 / Max: 12.34Min: 6.18 / Avg: 6.42 / Max: 6.58Min: 6.9 / Avg: 6.95 / Max: 7.02Min: 8.87 / Avg: 9.28 / Max: 10.01Min: 8.32 / Avg: 8.72 / Max: 9.32Min: 8.98 / Avg: 9.07 / Max: 9.14Min: 14.87 / Avg: 22.05 / Max: 25.24Min: 6.47 / Avg: 6.49 / Max: 6.52Min: 12.98 / Avg: 15.49 / Max: 20.18Min: 6.59 / Avg: 6.64 / Max: 6.7Min: 7.22 / Avg: 7.32 / Max: 7.41Min: 8.12 / Avg: 8.16 / Max: 8.19Min: 19.2 / Avg: 22.34 / Max: 26.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430SE +/- 0.75, N = 12SE +/- 0.26, N = 11SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 1.16, N = 9SE +/- 0.04, N = 3SE +/- 2.24, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.85, N = 921.7114.6310.5510.4012.9412.4712.9226.529.8419.6610.8710.8011.6926.76MIN: 16.06 / MAX: 33.9MIN: 13.29 / MAX: 20.58MIN: 10.24 / MAX: 69.96MIN: 9.83 / MAX: 20.38MIN: 12.46 / MAX: 15.4MIN: 12.02 / MAX: 14.07MIN: 12.36 / MAX: 16.63MIN: 18.34 / MAX: 159.39MIN: 9.58 / MAX: 10.75MIN: 15.98 / MAX: 32.16MIN: 10.68 / MAX: 11.57MIN: 10.45 / MAX: 26MIN: 11.36 / MAX: 14.13MIN: 19.65 / MAX: 171.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430Min: 18.48 / Avg: 21.71 / Max: 26.84Min: 13.74 / Avg: 14.63 / Max: 16.32Min: 10.38 / Avg: 10.55 / Max: 10.8Min: 10.24 / Avg: 10.4 / Max: 10.57Min: 12.72 / Avg: 12.94 / Max: 13.1Min: 12.29 / Avg: 12.47 / Max: 12.8Min: 12.84 / Avg: 12.92 / Max: 13.06Min: 20 / Avg: 26.52 / Max: 29.87Min: 9.77 / Avg: 9.84 / Max: 9.88Min: 17.26 / Avg: 19.66 / Max: 24.13Min: 10.82 / Avg: 10.87 / Max: 10.92Min: 10.65 / Avg: 10.8 / Max: 10.94Min: 11.58 / Avg: 11.69 / Max: 11.76Min: 23.41 / Avg: 26.76 / Max: 31.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.26, N = 12SE +/- 0.05, N = 11SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.37, N = 9SE +/- 0.02, N = 3SE +/- 0.67, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.25, N = 96.804.953.303.744.613.824.608.683.546.573.493.724.219.32MIN: 5.67 / MAX: 11.73MIN: 4.63 / MAX: 6.53MIN: 3.2 / MAX: 3.51MIN: 3.58 / MAX: 8.88MIN: 4.45 / MAX: 4.81MIN: 3.72 / MAX: 4.1MIN: 4.38 / MAX: 6.31MIN: 6.7 / MAX: 15.99MIN: 3.43 / MAX: 3.74MIN: 5.73 / MAX: 18.41MIN: 3.4 / MAX: 3.75MIN: 3.58 / MAX: 5.16MIN: 4.06 / MAX: 5.91MIN: 7.36 / MAX: 18.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 5.79 / Avg: 6.8 / Max: 8.57Min: 4.75 / Avg: 4.95 / Max: 5.37Min: 3.26 / Avg: 3.3 / Max: 3.36Min: 3.67 / Avg: 3.74 / Max: 3.82Min: 4.55 / Avg: 4.61 / Max: 4.67Min: 3.79 / Avg: 3.82 / Max: 3.83Min: 4.49 / Avg: 4.6 / Max: 4.66Min: 6.85 / Avg: 8.68 / Max: 9.99Min: 3.5 / Avg: 3.54 / Max: 3.58Min: 5.85 / Avg: 6.57 / Max: 7.9Min: 3.46 / Avg: 3.49 / Max: 3.51Min: 3.68 / Avg: 3.72 / Max: 3.75Min: 4.19 / Avg: 4.21 / Max: 4.23Min: 8.39 / Avg: 9.32 / Max: 10.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.86, N = 12SE +/- 0.29, N = 11SE +/- 0.10, N = 3SE +/- 0.48, N = 3SE +/- 0.12, N = 3SE +/- 0.27, N = 3SE +/- 0.33, N = 3SE +/- 1.29, N = 9SE +/- 0.28, N = 3SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 1.15, N = 927.6821.9316.3218.8419.9421.8420.3534.0017.5823.9717.8716.8317.6436.76MIN: 23.41 / MAX: 138.56MIN: 20.32 / MAX: 95.63MIN: 15.69 / MAX: 79.67MIN: 17.66 / MAX: 132.29MIN: 19.43 / MAX: 22.28MIN: 20.88 / MAX: 25.6MIN: 19.39 / MAX: 62.1MIN: 27.04 / MAX: 97.01MIN: 17.05 / MAX: 18.64MIN: 23.45 / MAX: 28.72MIN: 17.59 / MAX: 19.75MIN: 16.42 / MAX: 20.42MIN: 17.29 / MAX: 30.94MIN: 28.46 / MAX: 174.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 23.94 / Avg: 27.68 / Max: 33.93Min: 20.81 / Avg: 21.93 / Max: 23.79Min: 16.12 / Avg: 16.32 / Max: 16.47Min: 18.11 / Avg: 18.84 / Max: 19.74Min: 19.7 / Avg: 19.94 / Max: 20.06Min: 21.32 / Avg: 21.84 / Max: 22.24Min: 19.9 / Avg: 20.35 / Max: 20.99Min: 29.81 / Avg: 34 / Max: 38.69Min: 17.28 / Avg: 17.58 / Max: 18.13Min: 23.7 / Avg: 23.97 / Max: 24.12Min: 17.81 / Avg: 17.87 / Max: 17.93Min: 16.81 / Avg: 16.83 / Max: 16.84Min: 17.62 / Avg: 17.64 / Max: 17.68Min: 32.1 / Avg: 36.76 / Max: 42.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.50, N = 12SE +/- 0.03, N = 11SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 3SE +/- 0.22, N = 3SE +/- 0.08, N = 9SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 915.3513.0911.8814.5213.0115.8313.1716.1914.5014.9514.1412.0212.5316.80MIN: 13.83 / MAX: 1062.41MIN: 12.54 / MAX: 15.91MIN: 11.62 / MAX: 12.46MIN: 14.04 / MAX: 90.85MIN: 12.71 / MAX: 16.73MIN: 15.56 / MAX: 17.09MIN: 12.72 / MAX: 15.99MIN: 14.96 / MAX: 24.1MIN: 14.03 / MAX: 30.23MIN: 14.44 / MAX: 17.51MIN: 14.02 / MAX: 14.84MIN: 11.87 / MAX: 12.25MIN: 12.29 / MAX: 14.54MIN: 15.34 / MAX: 148.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620Min: 14.54 / Avg: 15.35 / Max: 20.77Min: 12.94 / Avg: 13.09 / Max: 13.29Min: 11.76 / Avg: 11.88 / Max: 11.97Min: 14.26 / Avg: 14.52 / Max: 14.98Min: 12.88 / Avg: 13.01 / Max: 13.19Min: 15.79 / Avg: 15.83 / Max: 15.87Min: 12.85 / Avg: 13.17 / Max: 13.59Min: 15.8 / Avg: 16.19 / Max: 16.66Min: 14.19 / Avg: 14.5 / Max: 14.66Min: 14.77 / Avg: 14.95 / Max: 15.05Min: 14.12 / Avg: 14.14 / Max: 14.15Min: 11.98 / Avg: 12.02 / Max: 12.05Min: 12.49 / Avg: 12.53 / Max: 12.57Min: 16.19 / Avg: 16.8 / Max: 17.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: mobilenetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.30, N = 3SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.56, N = 1222.7520.7120.4820.3520.1020.8334.51MIN: 21.04 / MAX: 28.66MIN: 20.23 / MAX: 80.25MIN: 19.64 / MAX: 33.63MIN: 20 / MAX: 22.9MIN: 19.72 / MAX: 21.22MIN: 20.38 / MAX: 23.31MIN: 29.62 / MAX: 183.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: mobilenetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702714212835Min: 22.38 / Avg: 22.75 / Max: 23.35Min: 20.54 / Avg: 20.71 / Max: 20.9Min: 20.1 / Avg: 20.48 / Max: 20.69Min: 20.27 / Avg: 20.35 / Max: 20.43Min: 20.06 / Avg: 20.1 / Max: 20.17Min: 20.73 / Avg: 20.83 / Max: 20.94Min: 32.12 / Avg: 34.51 / Max: 37.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2-v2-v2 - Model: mobilenet-v2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025SE +/- 0.22, N = 3SE +/- 0.41, N = 3SE +/- 0.06, N = 3SE +/- 0.50, N = 3SE +/- 0.03, N = 3SE +/- 0.40, N = 3SE +/- 0.67, N = 1211.167.627.8310.488.9910.5721.78MIN: 10.31 / MAX: 15.76MIN: 6.94 / MAX: 8.63MIN: 7.42 / MAX: 20.77MIN: 9.49 / MAX: 15.91MIN: 8.55 / MAX: 12.68MIN: 9.55 / MAX: 89.27MIN: 15.53 / MAX: 156.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2-v2-v2 - Model: mobilenet-v2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025Min: 10.89 / Avg: 11.16 / Max: 11.59Min: 7.19 / Avg: 7.62 / Max: 8.44Min: 7.72 / Avg: 7.83 / Max: 7.89Min: 9.78 / Avg: 10.48 / Max: 11.44Min: 8.96 / Avg: 8.99 / Max: 9.05Min: 9.83 / Avg: 10.57 / Max: 11.21Min: 19.15 / Avg: 21.78 / Max: 25.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2-v3-v3 - Model: mobilenet-v3EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.85, N = 3SE +/- 0.03, N = 3SE +/- 0.38, N = 3SE +/- 0.52, N = 1210.006.816.9210.058.019.5519.33MIN: 9.44 / MAX: 13.72MIN: 6.47 / MAX: 7.66MIN: 6.62 / MAX: 16.73MIN: 8.79 / MAX: 16.73MIN: 7.76 / MAX: 11.26MIN: 8.8 / MAX: 14.17MIN: 14.67 / MAX: 163.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2-v3-v3 - Model: mobilenet-v3EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025Min: 9.87 / Avg: 10 / Max: 10.1Min: 6.62 / Avg: 6.81 / Max: 7.18Min: 6.88 / Avg: 6.92 / Max: 6.99Min: 9.11 / Avg: 10.05 / Max: 11.75Min: 7.97 / Avg: 8.01 / Max: 8.07Min: 9.05 / Avg: 9.55 / Max: 10.29Min: 17.44 / Avg: 19.33 / Max: 22.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: shufflenet-v2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770248121620SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.00, N = 2SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.30, N = 1210.459.619.049.899.149.9417.18MIN: 10.06 / MAX: 10.7MIN: 9.47 / MAX: 10.1MIN: 8.5 / MAX: 115.08MIN: 9.55 / MAX: 12.02MIN: 8.98 / MAX: 9.86MIN: 9.7 / MAX: 12.07MIN: 14.33 / MAX: 149.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: shufflenet-v2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770248121620Min: 10.38 / Avg: 10.45 / Max: 10.49Min: 9.58 / Avg: 9.61 / Max: 9.64Min: 8.78 / Avg: 9.04 / Max: 9.29Min: 9.88 / Avg: 9.89 / Max: 9.89Min: 9.11 / Avg: 9.14 / Max: 9.2Min: 9.84 / Avg: 9.94 / Max: 10.03Min: 15.41 / Avg: 17.18 / Max: 18.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: mnasnetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.99, N = 3SE +/- 0.07, N = 3SE +/- 0.34, N = 3SE +/- 0.85, N = 1210.006.557.139.968.059.4919.85MIN: 9.24 / MAX: 12.27MIN: 6.42 / MAX: 6.82MIN: 6.71 / MAX: 81.49MIN: 8.67 / MAX: 14.91MIN: 7.59 / MAX: 83.63MIN: 8.74 / MAX: 11.4MIN: 14.62 / MAX: 160.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: mnasnetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025Min: 9.74 / Avg: 10 / Max: 10.39Min: 6.5 / Avg: 6.55 / Max: 6.57Min: 6.87 / Avg: 7.13 / Max: 7.34Min: 8.96 / Avg: 9.96 / Max: 11.93Min: 7.94 / Avg: 8.05 / Max: 8.19Min: 9.07 / Avg: 9.49 / Max: 10.17Min: 17.27 / Avg: 19.85 / Max: 26.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: efficientnet-b0EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702612182430SE +/- 0.24, N = 3SE +/- 0.02, N = 3SE +/- 0.28, N = 3SE +/- 0.70, N = 3SE +/- 0.06, N = 3SE +/- 0.49, N = 3SE +/- 0.70, N = 1214.1610.5310.5813.3611.4613.3325.90MIN: 13.23 / MAX: 19.25MIN: 10.39 / MAX: 10.89MIN: 9.7 / MAX: 23.19MIN: 12.37 / MAX: 16.7MIN: 11.14 / MAX: 14.09MIN: 12.47 / MAX: 17.12MIN: 19.87 / MAX: 167.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: efficientnet-b0EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702612182430Min: 13.75 / Avg: 14.16 / Max: 14.57Min: 10.5 / Avg: 10.53 / Max: 10.57Min: 10.03 / Avg: 10.58 / Max: 10.89Min: 12.63 / Avg: 13.36 / Max: 14.75Min: 11.35 / Avg: 11.46 / Max: 11.54Min: 12.76 / Avg: 13.33 / Max: 14.3Min: 22.68 / Avg: 25.9 / Max: 29.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: blazefaceEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702246810SE +/- 0.15, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 124.913.303.794.763.714.598.57MIN: 4.58 / MAX: 84.54MIN: 3.23 / MAX: 3.45MIN: 3.64 / MAX: 17.29MIN: 4.4 / MAX: 5.79MIN: 3.57 / MAX: 4.18MIN: 4.36 / MAX: 9.16MIN: 7.33 / MAX: 16.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: blazefaceEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 77023691215Min: 4.72 / Avg: 4.91 / Max: 5.21Min: 3.29 / Avg: 3.3 / Max: 3.31Min: 3.77 / Avg: 3.79 / Max: 3.82Min: 4.5 / Avg: 4.76 / Max: 5.22Min: 3.65 / Avg: 3.71 / Max: 3.74Min: 4.48 / Avg: 4.59 / Max: 4.67Min: 7.62 / Avg: 8.57 / Max: 10.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: googlenetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.53, N = 1220.9216.1818.3519.8418.6620.1633.33MIN: 20.33 / MAX: 23.62MIN: 15.75 / MAX: 18.34MIN: 17.92 / MAX: 30.16MIN: 19.52 / MAX: 22.25MIN: 18.37 / MAX: 20.77MIN: 19.79 / MAX: 22.47MIN: 28.29 / MAX: 322.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: googlenetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702714212835Min: 20.77 / Avg: 20.92 / Max: 21.16Min: 16.13 / Avg: 16.18 / Max: 16.25Min: 18.26 / Avg: 18.35 / Max: 18.5Min: 19.82 / Avg: 19.84 / Max: 19.87Min: 18.56 / Avg: 18.66 / Max: 18.76Min: 20.05 / Avg: 20.16 / Max: 20.23Min: 31.11 / Avg: 33.33 / Max: 36.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: vgg16EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702918273645SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 1233.5233.6039.4931.6438.7831.8438.40MIN: 32.72 / MAX: 36.12MIN: 33.35 / MAX: 34.17MIN: 38.04 / MAX: 141.14MIN: 31.33 / MAX: 45.64MIN: 37.99 / MAX: 49.15MIN: 31.49 / MAX: 45.59MIN: 35.78 / MAX: 101.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: vgg16EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240Min: 33.43 / Avg: 33.52 / Max: 33.57Min: 33.55 / Avg: 33.6 / Max: 33.62Min: 39.21 / Avg: 39.49 / Max: 39.75Min: 31.58 / Avg: 31.64 / Max: 31.69Min: 38.4 / Avg: 38.78 / Max: 39.14Min: 31.76 / Avg: 31.84 / Max: 31.9Min: 37.11 / Avg: 38.4 / Max: 39.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: resnet18EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770248121620SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 1213.0611.8014.1912.9612.4013.0917.09MIN: 12.64 / MAX: 15.48MIN: 11.66 / MAX: 13.4MIN: 13.89 / MAX: 26.57MIN: 12.71 / MAX: 15.67MIN: 12.1 / MAX: 13.48MIN: 12.8 / MAX: 15.7MIN: 16.07 / MAX: 156.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: resnet18EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770248121620Min: 13 / Avg: 13.06 / Max: 13.1Min: 11.79 / Avg: 11.8 / Max: 11.82Min: 14.07 / Avg: 14.19 / Max: 14.29Min: 12.92 / Avg: 12.96 / Max: 13.02Min: 12.35 / Avg: 12.4 / Max: 12.5Min: 13.03 / Avg: 13.09 / Max: 13.15Min: 16.27 / Avg: 17.09 / Max: 18.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: alexnetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 77023691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 127.727.6310.238.117.498.409.02MIN: 7.25 / MAX: 10.27MIN: 7.52 / MAX: 8.93MIN: 9.93 / MAX: 68.78MIN: 8 / MAX: 10.07MIN: 7.16 / MAX: 8.48MIN: 8.19 / MAX: 10.75MIN: 8.58 / MAX: 72.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: alexnetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 77023691215Min: 7.71 / Avg: 7.72 / Max: 7.73Min: 7.62 / Avg: 7.63 / Max: 7.64Min: 10.11 / Avg: 10.23 / Max: 10.34Min: 8.1 / Avg: 8.11 / Max: 8.12Min: 7.31 / Avg: 7.49 / Max: 7.67Min: 8.39 / Avg: 8.4 / Max: 8.42Min: 8.8 / Avg: 9.02 / Max: 9.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: resnet50EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.09, N = 3SE +/- 0.60, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.19, N = 3SE +/- 0.17, N = 1224.8224.3725.5623.4526.2424.1934.07MIN: 24.27 / MAX: 27.47MIN: 23.47 / MAX: 37.92MIN: 24.69 / MAX: 100.99MIN: 23.16 / MAX: 25.99MIN: 25.52 / MAX: 28.03MIN: 23.68 / MAX: 26.81MIN: 31.16 / MAX: 133.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: resnet50EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702714212835Min: 24.66 / Avg: 24.82 / Max: 24.98Min: 23.76 / Avg: 24.37 / Max: 25.58Min: 25.18 / Avg: 25.56 / Max: 25.97Min: 23.35 / Avg: 23.45 / Max: 23.59Min: 25.94 / Avg: 26.24 / Max: 26.65Min: 23.94 / Avg: 24.19 / Max: 24.56Min: 32.8 / Avg: 34.07 / Max: 34.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: yolov4-tinyEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.02, N = 3SE +/- 0.30, N = 3SE +/- 0.65, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 1229.3827.4329.5828.2728.8028.6435.87MIN: 28.95 / MAX: 31.47MIN: 26.83 / MAX: 28.57MIN: 28.18 / MAX: 79.51MIN: 27.92 / MAX: 30.97MIN: 28.11 / MAX: 30.02MIN: 28.24 / MAX: 30.97MIN: 33.58 / MAX: 180.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: yolov4-tinyEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240Min: 29.35 / Avg: 29.38 / Max: 29.41Min: 27.1 / Avg: 27.43 / Max: 28.02Min: 28.65 / Avg: 29.58 / Max: 30.82Min: 28.24 / Avg: 28.27 / Max: 28.33Min: 28.45 / Avg: 28.8 / Max: 29.17Min: 28.56 / Avg: 28.64 / Max: 28.69Min: 35.17 / Avg: 35.87 / Max: 36.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: squeezenet_ssdEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 1225.6425.8122.9423.5721.6223.7733.14MIN: 25.07 / MAX: 31.01MIN: 24.64 / MAX: 26.55MIN: 22.01 / MAX: 97.98MIN: 23.08 / MAX: 25.69MIN: 21.07 / MAX: 23.56MIN: 23.13 / MAX: 26.74MIN: 31.31 / MAX: 88.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: squeezenet_ssdEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702714212835Min: 25.53 / Avg: 25.64 / Max: 25.8Min: 25.75 / Avg: 25.81 / Max: 25.86Min: 22.91 / Avg: 22.94 / Max: 22.99Min: 23.54 / Avg: 23.57 / Max: 23.63Min: 21.55 / Avg: 21.62 / Max: 21.66Min: 23.69 / Avg: 23.77 / Max: 23.88Min: 32.49 / Avg: 33.14 / Max: 34.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: regnety_400mEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702306090120150SE +/- 0.38, N = 3SE +/- 0.25, N = 3SE +/- 0.22, N = 3SE +/- 1.36, N = 3SE +/- 0.54, N = 3SE +/- 1.51, N = 3SE +/- 0.90, N = 1264.8932.4439.7261.5844.8461.42117.56MIN: 63.26 / MAX: 68.33MIN: 31.57 / MAX: 33.32MIN: 38.43 / MAX: 83.52MIN: 59.2 / MAX: 77.53MIN: 43.55 / MAX: 46.35MIN: 58.39 / MAX: 205.71MIN: 110.38 / MAX: 376.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2-v2 - Model: regnety_400mEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770220406080100Min: 64.17 / Avg: 64.89 / Max: 65.48Min: 32 / Avg: 32.44 / Max: 32.88Min: 39.42 / Avg: 39.72 / Max: 40.14Min: 59.98 / Avg: 61.58 / Max: 64.28Min: 43.86 / Avg: 44.84 / Max: 45.71Min: 59.66 / Avg: 61.42 / Max: 64.42Min: 113.15 / Avg: 117.56 / Max: 124.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: mobilenetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 1.08, N = 1223.4120.6820.8820.6121.5520.8035.12MIN: 22.2 / MAX: 116.55MIN: 20.27 / MAX: 23.55MIN: 19.94 / MAX: 96.87MIN: 19.95 / MAX: 22.84MIN: 21.03 / MAX: 22.43MIN: 20.4 / MAX: 23.29MIN: 28.92 / MAX: 297.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: mobilenetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240Min: 22.96 / Avg: 23.41 / Max: 23.71Min: 20.53 / Avg: 20.68 / Max: 20.78Min: 20.54 / Avg: 20.88 / Max: 21.12Min: 20.32 / Avg: 20.61 / Max: 20.77Min: 21.43 / Avg: 21.55 / Max: 21.76Min: 20.71 / Avg: 20.8 / Max: 20.87Min: 31.56 / Avg: 35.12 / Max: 45.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3-v2-v2 - Model: mobilenet-v2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025SE +/- 0.39, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.88, N = 1211.037.188.0210.068.9710.3920.46MIN: 10.18 / MAX: 15.94MIN: 6.95 / MAX: 7.82MIN: 7.51 / MAX: 76.17MIN: 9.44 / MAX: 14.1MIN: 8.51 / MAX: 12.91MIN: 9.62 / MAX: 14.89MIN: 15.14 / MAX: 154.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3-v2-v2 - Model: mobilenet-v2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025Min: 10.61 / Avg: 11.03 / Max: 11.81Min: 7.16 / Avg: 7.18 / Max: 7.21Min: 7.78 / Avg: 8.02 / Max: 8.34Min: 9.84 / Avg: 10.06 / Max: 10.42Min: 8.78 / Avg: 8.97 / Max: 9.22Min: 10 / Avg: 10.39 / Max: 10.85Min: 16.2 / Avg: 20.46 / Max: 27.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3-v3-v3 - Model: mobilenet-v3EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.67, N = 1210.036.587.419.437.989.3919.11MIN: 9.45 / MAX: 13.2MIN: 6.06 / MAX: 7.03MIN: 6.82 / MAX: 32.46MIN: 8.79 / MAX: 12.92MIN: 7.73 / MAX: 11.22MIN: 8.87 / MAX: 13.81MIN: 14.3 / MAX: 154.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3-v3-v3 - Model: mobilenet-v3EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025Min: 9.82 / Avg: 10.03 / Max: 10.38Min: 6.53 / Avg: 6.58 / Max: 6.66Min: 7.22 / Avg: 7.41 / Max: 7.71Min: 9.07 / Avg: 9.43 / Max: 10.09Min: 7.94 / Avg: 7.98 / Max: 8.02Min: 9.15 / Avg: 9.39 / Max: 9.79Min: 14.68 / Avg: 19.11 / Max: 23.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: shufflenet-v2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770248121620SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.41, N = 1210.569.598.839.929.049.9315.99MIN: 10.2 / MAX: 10.78MIN: 9.42 / MAX: 10.31MIN: 8.29 / MAX: 60.32MIN: 9.58 / MAX: 10.17MIN: 8.92 / MAX: 9.24MIN: 9.59 / MAX: 13.42MIN: 14.24 / MAX: 31.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: shufflenet-v2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770248121620Min: 10.42 / Avg: 10.56 / Max: 10.68Min: 9.55 / Avg: 9.59 / Max: 9.63Min: 8.61 / Avg: 8.83 / Max: 9.05Min: 9.9 / Avg: 9.92 / Max: 9.95Min: 9.01 / Avg: 9.04 / Max: 9.07Min: 9.85 / Avg: 9.93 / Max: 10.03Min: 14.41 / Avg: 15.99 / Max: 18.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: mnasnetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.55, N = 3SE +/- 0.01, N = 2SE +/- 0.32, N = 3SE +/- 0.87, N = 129.946.227.259.497.869.3419.28MIN: 9.35 / MAX: 24.23MIN: 6.06 / MAX: 8.58MIN: 6.73 / MAX: 57.32MIN: 8.73 / MAX: 13.47MIN: 7.64 / MAX: 8.58MIN: 8.75 / MAX: 11.53MIN: 14.29 / MAX: 168.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: mnasnetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702510152025Min: 9.76 / Avg: 9.94 / Max: 10.28Min: 6.19 / Avg: 6.22 / Max: 6.27Min: 7.16 / Avg: 7.25 / Max: 7.35Min: 8.93 / Avg: 9.49 / Max: 10.59Min: 7.85 / Avg: 7.86 / Max: 7.86Min: 8.93 / Avg: 9.34 / Max: 9.96Min: 14.89 / Avg: 19.28 / Max: 26.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: efficientnet-b0EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702612182430SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.22, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.60, N = 1214.0010.5010.6513.0211.4413.2324.96MIN: 13.26 / MAX: 16.53MIN: 10.31 / MAX: 10.7MIN: 9.93 / MAX: 24.56MIN: 12.47 / MAX: 25.94MIN: 11.21 / MAX: 12.05MIN: 12.57 / MAX: 15.52MIN: 19.33 / MAX: 169.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: efficientnet-b0EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702612182430Min: 13.75 / Avg: 14 / Max: 14.15Min: 10.47 / Avg: 10.5 / Max: 10.56Min: 10.28 / Avg: 10.65 / Max: 10.95Min: 12.75 / Avg: 13.02 / Max: 13.45Min: 11.41 / Avg: 11.44 / Max: 11.48Min: 12.97 / Avg: 13.23 / Max: 13.51Min: 22.16 / Avg: 24.96 / Max: 29.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: blazefaceEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702246810SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.25, N = 124.833.283.864.603.684.618.36MIN: 4.58 / MAX: 5.04MIN: 3.19 / MAX: 3.52MIN: 3.62 / MAX: 18.81MIN: 4.47 / MAX: 4.78MIN: 3.61 / MAX: 3.81MIN: 4.42 / MAX: 6.48MIN: 7.23 / MAX: 12.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: blazefaceEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 77023691215Min: 4.73 / Avg: 4.83 / Max: 4.91Min: 3.27 / Avg: 3.28 / Max: 3.31Min: 3.83 / Avg: 3.86 / Max: 3.92Min: 4.56 / Avg: 4.6 / Max: 4.66Min: 3.67 / Avg: 3.68 / Max: 3.69Min: 4.55 / Avg: 4.61 / Max: 4.64Min: 7.4 / Avg: 8.36 / Max: 10.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: googlenetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.22, N = 3SE +/- 0.04, N = 3SE +/- 0.39, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 1.10, N = 1221.0316.1218.9319.9818.7919.9632.82MIN: 20.33 / MAX: 34.92MIN: 15.75 / MAX: 17.12MIN: 17.94 / MAX: 109.8MIN: 19.48 / MAX: 22.94MIN: 18.44 / MAX: 21.28MIN: 18.88 / MAX: 22.57MIN: 27.88 / MAX: 266.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: googlenetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702714212835Min: 20.67 / Avg: 21.03 / Max: 21.44Min: 16.07 / Avg: 16.12 / Max: 16.19Min: 18.26 / Avg: 18.93 / Max: 19.62Min: 19.78 / Avg: 19.98 / Max: 20.31Min: 18.75 / Avg: 18.79 / Max: 18.86Min: 19.69 / Avg: 19.96 / Max: 20.23Min: 28.85 / Avg: 32.82 / Max: 42.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: vgg16EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702918273645SE +/- 0.37, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.23, N = 1233.8133.6740.0331.5539.0331.6038.63MIN: 32.79 / MAX: 97.48MIN: 33.38 / MAX: 34.39MIN: 38.49 / MAX: 116.08MIN: 31.2 / MAX: 34.12MIN: 38.43 / MAX: 68.5MIN: 31.34 / MAX: 33.82MIN: 36.39 / MAX: 183.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: vgg16EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240Min: 33.31 / Avg: 33.81 / Max: 34.53Min: 33.6 / Avg: 33.67 / Max: 33.72Min: 39.91 / Avg: 40.03 / Max: 40.09Min: 31.41 / Avg: 31.55 / Max: 31.74Min: 38.8 / Avg: 39.03 / Max: 39.17Min: 31.57 / Avg: 31.6 / Max: 31.62Min: 37.71 / Avg: 38.63 / Max: 40.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: resnet18EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770248121620SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.22, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 1213.1011.9014.5713.0612.8613.0416.88MIN: 12.59 / MAX: 16.42MIN: 11.65 / MAX: 55.15MIN: 14.1 / MAX: 125.1MIN: 12.71 / MAX: 28.81MIN: 12.33 / MAX: 13.98MIN: 12.78 / MAX: 27.66MIN: 16.26 / MAX: 23.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: resnet18EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770248121620Min: 13.01 / Avg: 13.1 / Max: 13.21Min: 11.8 / Avg: 11.9 / Max: 12.07Min: 14.32 / Avg: 14.57 / Max: 15.01Min: 12.98 / Avg: 13.06 / Max: 13.22Min: 12.57 / Avg: 12.86 / Max: 13.15Min: 12.95 / Avg: 13.04 / Max: 13.1Min: 16.54 / Avg: 16.88 / Max: 17.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: alexnetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 77023691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 127.727.6410.188.307.428.419.03MIN: 7.6 / MAX: 10.25MIN: 7.53 / MAX: 8.34MIN: 9.97 / MAX: 41.96MIN: 7.99 / MAX: 11.01MIN: 7 / MAX: 8.77MIN: 8.19 / MAX: 10.25MIN: 8.55 / MAX: 19.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: alexnetEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 77023691215Min: 7.69 / Avg: 7.72 / Max: 7.74Min: 7.62 / Avg: 7.64 / Max: 7.66Min: 10.14 / Avg: 10.18 / Max: 10.23Min: 8.12 / Avg: 8.3 / Max: 8.65Min: 7.14 / Avg: 7.42 / Max: 7.89Min: 8.38 / Avg: 8.41 / Max: 8.45Min: 8.77 / Avg: 9.03 / Max: 9.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: resnet50EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.12, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 1224.8723.9825.4923.4026.6523.9734.44MIN: 24.23 / MAX: 28.08MIN: 23.48 / MAX: 99.76MIN: 24.81 / MAX: 44.64MIN: 23.06 / MAX: 26.02MIN: 26.08 / MAX: 28.21MIN: 23.66 / MAX: 26.64MIN: 31.49 / MAX: 123.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: resnet50EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702714212835Min: 24.66 / Avg: 24.87 / Max: 25.07Min: 23.78 / Avg: 23.98 / Max: 24.31Min: 25.36 / Avg: 25.49 / Max: 25.57Min: 23.26 / Avg: 23.4 / Max: 23.59Min: 26.49 / Avg: 26.65 / Max: 26.89Min: 23.86 / Avg: 23.97 / Max: 24.08Min: 33.59 / Avg: 34.44 / Max: 34.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: yolov4-tinyEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.07, N = 3SE +/- 0.34, N = 3SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 0.21, N = 3SE +/- 0.06, N = 3SE +/- 0.22, N = 1229.4227.8130.2228.3828.8928.4535.45MIN: 28.77 / MAX: 32.92MIN: 26.87 / MAX: 29.43MIN: 28.5 / MAX: 91.38MIN: 27.87 / MAX: 30.83MIN: 28.11 / MAX: 30.08MIN: 28.02 / MAX: 30.8MIN: 33.92 / MAX: 177.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: yolov4-tinyEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240Min: 29.33 / Avg: 29.42 / Max: 29.55Min: 27.19 / Avg: 27.81 / Max: 28.35Min: 29.96 / Avg: 30.22 / Max: 30.69Min: 28.17 / Avg: 28.38 / Max: 28.49Min: 28.47 / Avg: 28.89 / Max: 29.15Min: 28.33 / Avg: 28.45 / Max: 28.53Min: 34.59 / Avg: 35.45 / Max: 36.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: squeezenet_ssdEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702816243240SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.19, N = 1225.5825.1522.8324.4922.7224.1533.61MIN: 24.92 / MAX: 28.09MIN: 24.73 / MAX: 26.1MIN: 21.87 / MAX: 58.21MIN: 24.14 / MAX: 33.66MIN: 22.33 / MAX: 23.78MIN: 23.15 / MAX: 101MIN: 31.82 / MAX: 180.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: squeezenet_ssdEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702714212835Min: 25.36 / Avg: 25.58 / Max: 25.76Min: 25.1 / Avg: 25.15 / Max: 25.19Min: 22.75 / Avg: 22.83 / Max: 22.89Min: 24.42 / Avg: 24.49 / Max: 24.57Min: 22.68 / Avg: 22.72 / Max: 22.8Min: 23.77 / Avg: 24.15 / Max: 24.7Min: 32.8 / Avg: 33.61 / Max: 34.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: regnety_400mEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7702306090120150SE +/- 1.18, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.96, N = 3SE +/- 0.14, N = 3SE +/- 0.78, N = 3SE +/- 0.90, N = 1265.3032.2740.5361.4644.9861.51117.29MIN: 62.09 / MAX: 107.9MIN: 31.53 / MAX: 34.46MIN: 38.3 / MAX: 142.23MIN: 59.76 / MAX: 66.21MIN: 44.41 / MAX: 120.73MIN: 59.23 / MAX: 65.07MIN: 110.16 / MAX: 380.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3-v3 - Model: regnety_400mEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 770220406080100Min: 63.08 / Avg: 65.3 / Max: 67.09Min: 31.9 / Avg: 32.27 / Max: 32.86Min: 40.35 / Avg: 40.53 / Max: 40.64Min: 60.29 / Avg: 61.46 / Max: 63.37Min: 44.71 / Avg: 44.98 / Max: 45.19Min: 59.96 / Avg: 61.51 / Max: 62.44Min: 111.85 / Avg: 117.29 / Max: 122.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

toyBrot Fractal Generator

ToyBrot is a Mandelbrot fractal generator supporting C++ threads/tasks, OpenMP, Intel Threaded Building Blocks (TBB), and other targets. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBBEPYC 7532EPYC 7F32EPYC 72829K18K27K36K45KSE +/- 60.14, N = 4SE +/- 233.59, N = 3SE +/- 162.21, N = 31355641606254111. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBBEPYC 7532EPYC 7F32EPYC 72827K14K21K28K35KMin: 13434 / Avg: 13555.5 / Max: 13696Min: 41361 / Avg: 41606 / Max: 42073Min: 25214 / Avg: 25411.33 / Max: 257331. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMPEPYC 7532EPYC 7F32EPYC 72829K18K27K36K45KSE +/- 17.05, N = 4SE +/- 1.20, N = 3SE +/- 4.48, N = 31392641422253881. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMPEPYC 7532EPYC 7F32EPYC 72827K14K21K28K35KMin: 13904 / Avg: 13925.75 / Max: 13976Min: 41420 / Avg: 41421.67 / Max: 41424Min: 25379 / Avg: 25387.67 / Max: 253941. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ TasksEPYC 7532EPYC 7F32EPYC 72829K18K27K36K45KSE +/- 28.15, N = 4SE +/- 11.72, N = 3SE +/- 97.58, N = 31379841679256831. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ TasksEPYC 7532EPYC 7F32EPYC 72827K14K21K28K35KMin: 13745 / Avg: 13798 / Max: 13860Min: 41656 / Avg: 41679.33 / Max: 41693Min: 25513 / Avg: 25683 / Max: 258511. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ ThreadsEPYC 7532EPYC 7F32EPYC 72829K18K27K36K45KSE +/- 29.85, N = 4SE +/- 8.41, N = 3SE +/- 18.66, N = 31361941573254261. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ ThreadsEPYC 7532EPYC 7F32EPYC 72827K14K21K28K35KMin: 13567 / Avg: 13618.5 / Max: 13689Min: 41561 / Avg: 41572.67 / Max: 41589Min: 25402 / Avg: 25426.33 / Max: 254631. (CXX) g++ options: -O3 -lpthread

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770210002000300040005000SE +/- 44.06, N = 5SE +/- 31.43, N = 6SE +/- 31.79, N = 5SE +/- 15.11, N = 5SE +/- 31.15, N = 7SE +/- 22.77, N = 5SE +/- 39.23, N = 5SE +/- 22.48, N = 6SE +/- 34.34, N = 5SE +/- 29.37, N = 5SE +/- 38.29, N = 5SE +/- 13.74, N = 5SE +/- 47.69, N = 54026331636713861332339174773355244633793363337784686
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77028001600240032004000Min: 3901 / Avg: 4025.6 / Max: 4157Min: 3220 / Avg: 3315.5 / Max: 3444Min: 3564 / Avg: 3671.2 / Max: 3763Min: 3817 / Avg: 3860.6 / Max: 3906Min: 3208 / Avg: 3323.43 / Max: 3442Min: 3832 / Avg: 3917.4 / Max: 3957Min: 4691 / Avg: 4773.4 / Max: 4896Min: 3511 / Avg: 3551.67 / Max: 3657Min: 4370 / Avg: 4463.2 / Max: 4566Min: 3701 / Avg: 3792.8 / Max: 3886Min: 3534 / Avg: 3633.2 / Max: 3722Min: 3743 / Avg: 3778.2 / Max: 3810Min: 4536 / Avg: 4686 / Max: 4799

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770212002400360048006000SE +/- 21.30, N = 6SE +/- 22.07, N = 7SE +/- 22.94, N = 6SE +/- 17.79, N = 6SE +/- 11.37, N = 7SE +/- 12.59, N = 6SE +/- 12.22, N = 6SE +/- 17.45, N = 6SE +/- 9.85, N = 6SE +/- 49.86, N = 6SE +/- 20.02, N = 6SE +/- 17.40, N = 6SE +/- 22.61, N = 65070454452804935437549165021535351125580514550535012
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770210002000300040005000Min: 5014 / Avg: 5070.17 / Max: 5141Min: 4475 / Avg: 4544.29 / Max: 4659Min: 5219 / Avg: 5279.5 / Max: 5358Min: 4891 / Avg: 4934.83 / Max: 4996Min: 4328 / Avg: 4374.57 / Max: 4420Min: 4883 / Avg: 4916 / Max: 4959Min: 4981 / Avg: 5020.83 / Max: 5072Min: 5275 / Avg: 5352.5 / Max: 5392Min: 5077 / Avg: 5112 / Max: 5138Min: 5502 / Avg: 5579.5 / Max: 5827Min: 5069 / Avg: 5145.33 / Max: 5205Min: 5000 / Avg: 5053.33 / Max: 5104Min: 4957 / Avg: 5011.67 / Max: 5119

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770210002000300040005000SE +/- 15.90, N = 5SE +/- 35.92, N = 5SE +/- 32.99, N = 5SE +/- 12.58, N = 5SE +/- 35.77, N = 5SE +/- 28.80, N = 5SE +/- 25.14, N = 5SE +/- 33.20, N = 5SE +/- 22.36, N = 5SE +/- 22.80, N = 5SE +/- 20.03, N = 5SE +/- 9.28, N = 5SE +/- 33.26, N = 54303372438813886408539124457397142183894413839934407
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77028001600240032004000Min: 4246 / Avg: 4302.6 / Max: 4341Min: 3653 / Avg: 3723.6 / Max: 3860Min: 3765 / Avg: 3881.4 / Max: 3963Min: 3845 / Avg: 3886.4 / Max: 3916Min: 3969 / Avg: 4084.8 / Max: 4158Min: 3827 / Avg: 3912.2 / Max: 3971Min: 4392 / Avg: 4456.8 / Max: 4536Min: 3886 / Avg: 3970.6 / Max: 4055Min: 4158 / Avg: 4217.6 / Max: 4273Min: 3832 / Avg: 3893.8 / Max: 3948Min: 4074 / Avg: 4138.2 / Max: 4180Min: 3975 / Avg: 3993.2 / Max: 4028Min: 4330 / Avg: 4406.6 / Max: 4494

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770211002200330044005500SE +/- 38.48, N = 5SE +/- 13.18, N = 4SE +/- 23.50, N = 13SE +/- 30.98, N = 5SE +/- 17.61, N = 4SE +/- 31.58, N = 20SE +/- 22.90, N = 5SE +/- 35.80, N = 6SE +/- 25.46, N = 5SE +/- 47.23, N = 4SE +/- 23.38, N = 5SE +/- 36.08, N = 5SE +/- 23.53, N = 203497409534923304328833583624375735505021352633103626
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77029001800270036004500Min: 3410 / Avg: 3496.6 / Max: 3597Min: 4078 / Avg: 4095 / Max: 4134Min: 3310 / Avg: 3491.92 / Max: 3632Min: 3195 / Avg: 3303.6 / Max: 3360Min: 3254 / Avg: 3287.75 / Max: 3330Min: 3220 / Avg: 3358.3 / Max: 3805Min: 3562 / Avg: 3624.4 / Max: 3691Min: 3621 / Avg: 3757.17 / Max: 3836Min: 3490 / Avg: 3550 / Max: 3631Min: 4937 / Avg: 5020.5 / Max: 5136Min: 3448 / Avg: 3526.2 / Max: 3591Min: 3228 / Avg: 3310.2 / Max: 3400Min: 3427 / Avg: 3625.95 / Max: 3913

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 415.0421.4364.9739.6619.5532.5820.9112.8252.8115.2179.1738.4925.6812.851. (CC) gcc options: -lm -lpthread -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021530456075Min: 15.01 / Avg: 15.04 / Max: 15.06Min: 21.4 / Avg: 21.43 / Max: 21.45Min: 64.93 / Avg: 64.97 / Max: 64.99Min: 39.61 / Avg: 39.66 / Max: 39.7Min: 19.49 / Avg: 19.55 / Max: 19.6Min: 32.55 / Avg: 32.58 / Max: 32.61Min: 20.89 / Avg: 20.91 / Max: 20.94Min: 12.79 / Avg: 12.81 / Max: 12.87Min: 52.8 / Avg: 52.81 / Max: 52.82Min: 15.17 / Avg: 15.21 / Max: 15.24Min: 79.13 / Avg: 79.17 / Max: 79.22Min: 38.48 / Avg: 38.49 / Max: 38.51Min: 25.67 / Avg: 25.68 / Max: 25.7Min: 12.83 / Avg: 12.85 / Max: 12.871. (CC) gcc options: -lm -lpthread -O3

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.27, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.26, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 322.5631.5792.1658.4728.5946.5930.9019.0875.0422.81112.3954.8437.7319.121. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 22.52 / Avg: 22.56 / Max: 22.63Min: 31.53 / Avg: 31.57 / Max: 31.59Min: 91.95 / Avg: 92.16 / Max: 92.42Min: 58.2 / Avg: 58.47 / Max: 59Min: 28.5 / Avg: 28.59 / Max: 28.69Min: 46.49 / Avg: 46.59 / Max: 46.65Min: 30.86 / Avg: 30.9 / Max: 30.92Min: 19.06 / Avg: 19.08 / Max: 19.12Min: 74.96 / Avg: 75.04 / Max: 75.08Min: 22.76 / Avg: 22.81 / Max: 22.84Min: 112.07 / Avg: 112.39 / Max: 112.9Min: 54.8 / Avg: 54.84 / Max: 54.9Min: 37.62 / Avg: 37.73 / Max: 37.87Min: 19.11 / Avg: 19.12 / Max: 19.141. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021326395265SE +/- 0.04, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 4SE +/- 0.04, N = 3SE +/- 0.04, N = 4SE +/- 0.24, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 413.2717.6745.4730.5115.9424.1817.1411.5038.4113.2755.7828.7020.4611.501. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system
OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021122334455Min: 13.19 / Avg: 13.27 / Max: 13.35Min: 17.65 / Avg: 17.67 / Max: 17.7Min: 45.44 / Avg: 45.47 / Max: 45.5Min: 30.42 / Avg: 30.51 / Max: 30.57Min: 15.92 / Avg: 15.94 / Max: 15.96Min: 24.15 / Avg: 24.18 / Max: 24.23Min: 17.12 / Avg: 17.14 / Max: 17.17Min: 11.4 / Avg: 11.5 / Max: 11.56Min: 38.36 / Avg: 38.41 / Max: 38.49Min: 13.17 / Avg: 13.27 / Max: 13.35Min: 55.44 / Avg: 55.78 / Max: 56.24Min: 28.69 / Avg: 28.7 / Max: 28.72Min: 20.41 / Avg: 20.46 / Max: 20.56Min: 11.45 / Avg: 11.5 / Max: 11.551. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -pthread -lSDL -lSM -lICE -lX11 -lIlmImf -lImath -lHalf -lIex -lIexMath -lIlmThread -lpthread -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200SE +/- 0.60, N = 15SE +/- 0.21, N = 3SE +/- 0.41, N = 3SE +/- 1.06, N = 3SE +/- 0.43, N = 3SE +/- 1.73, N = 3SE +/- 0.38, N = 3SE +/- 0.74, N = 3SE +/- 0.80, N = 3SE +/- 0.43, N = 14SE +/- 0.97, N = 3SE +/- 1.37, N = 3SE +/- 1.05, N = 3SE +/- 0.72, N = 1567.6685.56172.35102.5364.92127.4570.7066.48131.0364.88186.18110.9480.5067.251. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 64.7 / Avg: 67.66 / Max: 71.97Min: 85.16 / Avg: 85.56 / Max: 85.86Min: 171.56 / Avg: 172.35 / Max: 172.91Min: 100.59 / Avg: 102.53 / Max: 104.24Min: 64.15 / Avg: 64.92 / Max: 65.62Min: 124 / Avg: 127.45 / Max: 129.28Min: 69.95 / Avg: 70.7 / Max: 71.18Min: 65.27 / Avg: 66.48 / Max: 67.84Min: 129.53 / Avg: 131.03 / Max: 132.24Min: 61.7 / Avg: 64.88 / Max: 67.09Min: 184.7 / Avg: 186.18 / Max: 188.01Min: 108.85 / Avg: 110.94 / Max: 113.51Min: 79.1 / Avg: 80.5 / Max: 82.54Min: 61.8 / Avg: 67.25 / Max: 71.051. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200SE +/- 0.19, N = 3SE +/- 0.21, N = 3SE +/- 0.25, N = 3SE +/- 0.34, N = 3SE +/- 0.06, N = 3SE +/- 0.27, N = 3SE +/- 0.37, N = 3SE +/- 0.27, N = 3SE +/- 0.34, N = 3SE +/- 0.42, N = 3SE +/- 1.01, N = 3SE +/- 0.95, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 345.7861.25156.31108.3455.3283.4560.7540.33136.2046.59198.45102.2969.8440.07
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200Min: 45.39 / Avg: 45.78 / Max: 45.99Min: 60.93 / Avg: 61.25 / Max: 61.64Min: 155.93 / Avg: 156.31 / Max: 156.78Min: 107.74 / Avg: 108.34 / Max: 108.92Min: 55.22 / Avg: 55.32 / Max: 55.43Min: 83.1 / Avg: 83.45 / Max: 83.98Min: 60 / Avg: 60.75 / Max: 61.17Min: 39.99 / Avg: 40.33 / Max: 40.86Min: 135.6 / Avg: 136.2 / Max: 136.76Min: 45.95 / Avg: 46.59 / Max: 47.39Min: 196.87 / Avg: 198.45 / Max: 200.33Min: 100.63 / Avg: 102.29 / Max: 103.93Min: 69.76 / Avg: 69.84 / Max: 69.99Min: 39.84 / Avg: 40.07 / Max: 40.23

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702120240360480600SE +/- 0.77, N = 3SE +/- 1.09, N = 3SE +/- 0.25, N = 3SE +/- 0.83, N = 3SE +/- 0.41, N = 3SE +/- 0.74, N = 3SE +/- 0.20, N = 3SE +/- 0.25, N = 3SE +/- 0.31, N = 3SE +/- 0.69, N = 3SE +/- 0.21, N = 3SE +/- 0.64, N = 3SE +/- 0.04, N = 3SE +/- 0.41, N = 3121.21168.40454.49304.34148.50237.79162.29101.68387.23122.03558.87287.81196.70103.55
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Classroom - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702100200300400500Min: 120.06 / Avg: 121.21 / Max: 122.68Min: 167.27 / Avg: 168.4 / Max: 170.57Min: 454.13 / Avg: 454.49 / Max: 454.97Min: 303.05 / Avg: 304.34 / Max: 305.88Min: 147.97 / Avg: 148.5 / Max: 149.3Min: 236.43 / Avg: 237.79 / Max: 238.96Min: 161.98 / Avg: 162.29 / Max: 162.65Min: 101.18 / Avg: 101.68 / Max: 101.94Min: 386.68 / Avg: 387.23 / Max: 387.74Min: 120.66 / Avg: 122.03 / Max: 122.86Min: 558.51 / Avg: 558.87 / Max: 559.22Min: 286.64 / Avg: 287.81 / Max: 288.83Min: 196.63 / Avg: 196.7 / Max: 196.77Min: 103.02 / Avg: 103.55 / Max: 104.35

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 0.14, N = 3SE +/- 0.30, N = 3SE +/- 0.04, N = 3SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.81, N = 3SE +/- 0.22, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.46, N = 3SE +/- 0.11, N = 361.9378.94207.12139.4672.27108.4078.0155.82177.6562.72267.24129.8191.8155.40
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 61.67 / Avg: 61.93 / Max: 62.15Min: 78.44 / Avg: 78.94 / Max: 79.47Min: 207.06 / Avg: 207.12 / Max: 207.19Min: 139.16 / Avg: 139.46 / Max: 139.93Min: 72.03 / Avg: 72.27 / Max: 72.43Min: 108.03 / Avg: 108.4 / Max: 108.72Min: 77.95 / Avg: 78.01 / Max: 78.08Min: 55.77 / Avg: 55.82 / Max: 55.85Min: 176.74 / Avg: 177.65 / Max: 179.26Min: 62.45 / Avg: 62.72 / Max: 63.15Min: 267.03 / Avg: 267.24 / Max: 267.66Min: 129.68 / Avg: 129.81 / Max: 129.95Min: 90.99 / Avg: 91.81 / Max: 92.58Min: 55.2 / Avg: 55.4 / Max: 55.58

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702140280420560700SE +/- 0.14, N = 3SE +/- 0.33, N = 3SE +/- 0.51, N = 3SE +/- 1.19, N = 3SE +/- 0.07, N = 3SE +/- 0.98, N = 3SE +/- 0.14, N = 3SE +/- 0.39, N = 3SE +/- 0.64, N = 3SE +/- 0.92, N = 3SE +/- 0.72, N = 3SE +/- 0.50, N = 3SE +/- 1.69, N = 3SE +/- 0.15, N = 3137.83189.09508.26338.52167.99265.13182.76118.26426.59139.21664.29317.27219.75119.17
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702120240360480600Min: 137.55 / Avg: 137.83 / Max: 138.03Min: 188.42 / Avg: 189.09 / Max: 189.45Min: 507.47 / Avg: 508.26 / Max: 509.22Min: 336.65 / Avg: 338.52 / Max: 340.74Min: 167.9 / Avg: 167.99 / Max: 168.12Min: 263.71 / Avg: 265.13 / Max: 267.02Min: 182.48 / Avg: 182.76 / Max: 182.95Min: 117.87 / Avg: 118.26 / Max: 119.05Min: 425.64 / Avg: 426.59 / Max: 427.81Min: 138.06 / Avg: 139.21 / Max: 141.03Min: 662.88 / Avg: 664.29 / Max: 665.27Min: 316.57 / Avg: 317.27 / Max: 318.25Min: 217.98 / Avg: 219.75 / Max: 223.14Min: 118.86 / Avg: 119.17 / Max: 119.35

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000SE +/- 0.23, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.65, N = 3SE +/- 0.07, N = 3SE +/- 0.69, N = 3SE +/- 0.46, N = 3SE +/- 0.20, N = 3SE +/- 1.20, N = 3SE +/- 0.31, N = 3SE +/- 0.62, N = 3SE +/- 0.25, N = 3SE +/- 0.35, N = 3SE +/- 0.04, N = 3179.18243.58683.81432.92223.08356.90237.65154.23554.64180.94866.85411.56291.52154.42
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Barbershop - Compute: CPU-OnlyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702150300450600750Min: 178.74 / Avg: 179.18 / Max: 179.54Min: 243.32 / Avg: 243.58 / Max: 243.79Min: 683.61 / Avg: 683.81 / Max: 683.97Min: 432.21 / Avg: 432.92 / Max: 434.21Min: 222.95 / Avg: 223.08 / Max: 223.18Min: 356.09 / Avg: 356.9 / Max: 358.27Min: 237.18 / Avg: 237.65 / Max: 238.58Min: 153.83 / Avg: 154.23 / Max: 154.49Min: 552.98 / Avg: 554.64 / Max: 556.98Min: 180.32 / Avg: 180.94 / Max: 181.27Min: 865.62 / Avg: 866.85 / Max: 867.52Min: 411.08 / Avg: 411.56 / Max: 411.94Min: 291.13 / Avg: 291.52 / Max: 292.22Min: 154.37 / Avg: 154.42 / Max: 154.49

Tungsten Renderer

Tungsten is a C++ physically based renderer that makes use of Intel's Embree ray tracing library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.03455, N = 5SE +/- 0.03618, N = 5SE +/- 0.01111, N = 3SE +/- 0.03890, N = 3SE +/- 0.02895, N = 5SE +/- 0.03705, N = 4SE +/- 0.00983, N = 5SE +/- 0.02077, N = 6SE +/- 0.03918, N = 3SE +/- 0.04134, N = 5SE +/- 0.03115, N = 3SE +/- 0.02745, N = 3SE +/- 0.02622, N = 4SE +/- 0.02278, N = 68.5682810.8131026.5161017.654209.9284914.1327010.574007.5509321.995808.7195332.5388016.6175012.262307.507061. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: HairEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835Min: 8.43 / Avg: 8.57 / Max: 8.61Min: 10.71 / Avg: 10.81 / Max: 10.91Min: 26.5 / Avg: 26.52 / Max: 26.54Min: 17.6 / Avg: 17.65 / Max: 17.73Min: 9.86 / Avg: 9.93 / Max: 10.01Min: 14.08 / Avg: 14.13 / Max: 14.23Min: 10.56 / Avg: 10.57 / Max: 10.61Min: 7.5 / Avg: 7.55 / Max: 7.63Min: 21.93 / Avg: 22 / Max: 22.07Min: 8.63 / Avg: 8.72 / Max: 8.86Min: 32.48 / Avg: 32.54 / Max: 32.59Min: 16.56 / Avg: 16.62 / Max: 16.65Min: 12.21 / Avg: 12.26 / Max: 12.33Min: 7.46 / Avg: 7.51 / Max: 7.591. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.41, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 322.5523.5528.1026.7922.6424.4223.1122.1329.9522.6533.9226.0223.8721.971. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Water CausticEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835Min: 22.48 / Avg: 22.55 / Max: 22.63Min: 23.54 / Avg: 23.55 / Max: 23.58Min: 27.88 / Avg: 28.1 / Max: 28.53Min: 26.76 / Avg: 26.79 / Max: 26.84Min: 22.58 / Avg: 22.64 / Max: 22.73Min: 24.31 / Avg: 24.42 / Max: 24.54Min: 23.07 / Avg: 23.11 / Max: 23.16Min: 22.09 / Avg: 22.13 / Max: 22.15Min: 29.5 / Avg: 29.95 / Max: 30.34Min: 22.58 / Avg: 22.65 / Max: 22.7Min: 33.49 / Avg: 33.92 / Max: 34.73Min: 25.95 / Avg: 26.02 / Max: 26.08Min: 23.81 / Avg: 23.87 / Max: 23.93Min: 21.94 / Avg: 21.97 / Max: 21.991. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.06689, N = 15SE +/- 0.00744, N = 8SE +/- 0.02852, N = 5SE +/- 0.01670, N = 7SE +/- 0.00498, N = 9SE +/- 0.01335, N = 7SE +/- 0.00918, N = 9SE +/- 0.01113, N = 9SE +/- 0.01455, N = 5SE +/- 0.01129, N = 9SE +/- 0.02902, N = 4SE +/- 0.00686, N = 6SE +/- 0.01244, N = 7SE +/- 0.00885, N = 93.198893.7023410.900906.218153.470965.846073.565552.801429.831063.3126211.965406.365135.714262.881751. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Non-ExponentialEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 2.55 / Avg: 3.2 / Max: 3.35Min: 3.66 / Avg: 3.7 / Max: 3.73Min: 10.84 / Avg: 10.9 / Max: 11Min: 6.17 / Avg: 6.22 / Max: 6.29Min: 3.44 / Avg: 3.47 / Max: 3.49Min: 5.8 / Avg: 5.85 / Max: 5.89Min: 3.5 / Avg: 3.57 / Max: 3.61Min: 2.77 / Avg: 2.8 / Max: 2.88Min: 9.79 / Avg: 9.83 / Max: 9.88Min: 3.27 / Avg: 3.31 / Max: 3.37Min: 11.89 / Avg: 11.97 / Max: 12.03Min: 6.35 / Avg: 6.37 / Max: 6.39Min: 5.67 / Avg: 5.71 / Max: 5.76Min: 2.85 / Avg: 2.88 / Max: 2.931. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.00169, N = 8SE +/- 0.00562, N = 7SE +/- 0.08977, N = 4SE +/- 0.04707, N = 6SE +/- 0.00749, N = 8SE +/- 0.05079, N = 6SE +/- 0.00220, N = 8SE +/- 0.00245, N = 8SE +/- 0.06509, N = 5SE +/- 0.00349, N = 8SE +/- 0.01019, N = 4SE +/- 0.03030, N = 6SE +/- 0.01885, N = 7SE +/- 0.00214, N = 84.361454.8425612.414107.400744.549046.562764.695504.326099.810984.3637213.926607.468715.274994.462611. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl
OpenBenchmarking.orgSeconds, Fewer Is BetterTungsten Renderer 0.2.2Scene: Volumetric CausticEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620Min: 4.35 / Avg: 4.36 / Max: 4.37Min: 4.83 / Avg: 4.84 / Max: 4.87Min: 12.18 / Avg: 12.41 / Max: 12.6Min: 7.21 / Avg: 7.4 / Max: 7.56Min: 4.51 / Avg: 4.55 / Max: 4.57Min: 6.4 / Avg: 6.56 / Max: 6.75Min: 4.68 / Avg: 4.7 / Max: 4.7Min: 4.32 / Avg: 4.33 / Max: 4.34Min: 9.7 / Avg: 9.81 / Max: 10.01Min: 4.35 / Avg: 4.36 / Max: 4.38Min: 13.91 / Avg: 13.93 / Max: 13.96Min: 7.35 / Avg: 7.47 / Max: 7.56Min: 5.21 / Avg: 5.27 / Max: 5.33Min: 4.46 / Avg: 4.46 / Max: 4.471. (CXX) g++ options: -std=c++0x -march=znver1 -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -mfma -mbmi2 -mno-avx -mno-avx2 -mno-xop -mno-fma4 -mno-avx512f -mno-avx512vl -mno-avx512pf -mno-avx512er -mno-avx512cd -mno-avx512dq -mno-avx512bw -mno-avx512ifma -mno-avx512vbmi -fstrict-aliasing -O3 -rdynamic -lIlmImf -lIlmThread -lImath -lHalf -lIex -lz -ljpeg -lpthread -ldl

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702110220330440550153.98172.91381.37275.81161.64226.80170.48153.46333.25154.73487.37260.98194.53154.44

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77026012018024030070.4989.01225.09151.8681.83118.4887.5167.33195.0873.33265.54149.34105.6967.74

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300185.01186.27247.66177.85173.16192.28173.53187.07210.16182.38278.32191.51173.05188.84

Radiance Benchmark

This is a benchmark of NREL Radiance, a synthetic imaging system that is open-source and developed by the Lawrence Berkeley National Laboratory in California. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SerialEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702160320480640800725.23724.56613.55746.18705.16612.89721.79723.32746.72727.34748.59724.99714.24713.56

OpenBenchmarking.orgSeconds, Fewer Is BetterRadiance Benchmark 5.0Test: SMP ParallelEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250218.42217.33184.74224.52214.26184.49215.16219.26223.38217.90226.64218.14217.55214.77

AOBench

AOBench is a lightweight ambient occlusion renderer, written in C. The test profile is using a size of 2048 x 2048. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021020304050SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3SE +/- 0.00, N = 3SE +/- 0.51, N = 341.1741.1934.8442.4439.9234.8140.5341.2642.4841.1742.4440.9840.5941.151. (CC) gcc options: -lm -O3
OpenBenchmarking.orgSeconds, Fewer Is BetterAOBenchSize: 2048 x 2048 - Total TimeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645Min: 41.14 / Avg: 41.17 / Max: 41.18Min: 41.18 / Avg: 41.19 / Max: 41.2Min: 34.8 / Avg: 34.83 / Max: 34.87Min: 42.4 / Avg: 42.43 / Max: 42.45Min: 39.91 / Avg: 39.92 / Max: 39.94Min: 34.79 / Avg: 34.81 / Max: 34.85Min: 40.51 / Avg: 40.53 / Max: 40.58Min: 41.23 / Avg: 41.26 / Max: 41.3Min: 42.42 / Avg: 42.48 / Max: 42.58Min: 41.14 / Avg: 41.16 / Max: 41.18Min: 42.43 / Avg: 42.44 / Max: 42.45Min: 40.63 / Avg: 40.98 / Max: 41.17Min: 40.58 / Avg: 40.59 / Max: 40.6Min: 40.64 / Avg: 41.15 / Max: 42.181. (CC) gcc options: -lm -O3

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 324.9325.0223.0025.6524.2021.6224.4324.9226.0224.8928.0825.0224.5324.56
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430Min: 24.92 / Avg: 24.93 / Max: 24.95Min: 25 / Avg: 25.02 / Max: 25.06Min: 22.98 / Avg: 23 / Max: 23.04Min: 25.6 / Avg: 25.65 / Max: 25.68Min: 24.17 / Avg: 24.2 / Max: 24.23Min: 21.59 / Avg: 21.62 / Max: 21.66Min: 24.41 / Avg: 24.43 / Max: 24.46Min: 24.89 / Avg: 24.92 / Max: 24.95Min: 26.01 / Avg: 26.02 / Max: 26.03Min: 24.85 / Avg: 24.89 / Max: 24.92Min: 28.05 / Avg: 28.08 / Max: 28.12Min: 24.97 / Avg: 25.02 / Max: 25.06Min: 24.51 / Avg: 24.53 / Max: 24.56Min: 24.54 / Avg: 24.56 / Max: 24.58

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 343.8246.1059.5655.2244.5546.5445.4443.0660.2043.8475.3352.7547.4142.56
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021428425670Min: 43.8 / Avg: 43.82 / Max: 43.84Min: 46.08 / Avg: 46.1 / Max: 46.13Min: 59.55 / Avg: 59.56 / Max: 59.58Min: 55.1 / Avg: 55.22 / Max: 55.29Min: 44.52 / Avg: 44.55 / Max: 44.58Min: 46.12 / Avg: 46.54 / Max: 46.75Min: 45.42 / Avg: 45.44 / Max: 45.46Min: 43 / Avg: 43.06 / Max: 43.15Min: 60.16 / Avg: 60.2 / Max: 60.27Min: 43.81 / Avg: 43.84 / Max: 43.91Min: 75.27 / Avg: 75.33 / Max: 75.44Min: 52.62 / Avg: 52.75 / Max: 52.9Min: 47.38 / Avg: 47.41 / Max: 47.44Min: 42.5 / Avg: 42.56 / Max: 42.67

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 397.9997.3783.5099.9294.9783.0295.8197.5599.8497.22103.9897.2094.8496.09
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 97.94 / Avg: 97.99 / Max: 98.06Min: 97.37 / Avg: 97.37 / Max: 97.38Min: 83.48 / Avg: 83.5 / Max: 83.55Min: 99.9 / Avg: 99.92 / Max: 99.96Min: 94.92 / Avg: 94.97 / Max: 95.02Min: 82.99 / Avg: 83.02 / Max: 83.06Min: 95.78 / Avg: 95.81 / Max: 95.83Min: 97.52 / Avg: 97.55 / Max: 97.6Min: 99.78 / Avg: 99.84 / Max: 99.91Min: 97.2 / Avg: 97.22 / Max: 97.24Min: 103.94 / Avg: 103.98 / Max: 104.04Min: 97.15 / Avg: 97.2 / Max: 97.27Min: 94.73 / Avg: 94.83 / Max: 94.91Min: 96 / Avg: 96.09 / Max: 96.18

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.30, N = 6SE +/- 0.42, N = 4SE +/- 0.46, N = 3SE +/- 0.75, N = 3SE +/- 0.41, N = 4SE +/- 0.43, N = 3SE +/- 0.42, N = 4SE +/- 0.28, N = 6SE +/- 0.59, N = 3SE +/- 0.30, N = 6SE +/- 0.42, N = 3SE +/- 0.65, N = 4SE +/- 0.47, N = 4SE +/- 0.26, N = 730.0836.8579.6657.9134.5546.9136.3927.9869.6130.21101.0953.4041.5028.13
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 29.67 / Avg: 30.08 / Max: 31.58Min: 36.38 / Avg: 36.85 / Max: 38.1Min: 79.06 / Avg: 79.66 / Max: 80.57Min: 56.64 / Avg: 57.91 / Max: 59.25Min: 34.07 / Avg: 34.55 / Max: 35.78Min: 46.21 / Avg: 46.91 / Max: 47.7Min: 35.93 / Avg: 36.39 / Max: 37.65Min: 27.59 / Avg: 27.98 / Max: 29.37Min: 68.52 / Avg: 69.61 / Max: 70.53Min: 29.87 / Avg: 30.21 / Max: 31.71Min: 100.61 / Avg: 101.09 / Max: 101.92Min: 52.39 / Avg: 53.4 / Max: 55.3Min: 40.71 / Avg: 41.5 / Max: 42.85Min: 27.79 / Avg: 28.13 / Max: 29.66

Timed ImageMagick Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.17, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 317.6719.2728.6025.4618.9421.6319.4117.1928.2218.0637.7223.5520.4317.12
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 17.49 / Avg: 17.67 / Max: 17.79Min: 19.16 / Avg: 19.27 / Max: 19.35Min: 28.39 / Avg: 28.6 / Max: 28.73Min: 25.14 / Avg: 25.46 / Max: 25.64Min: 18.83 / Avg: 18.93 / Max: 19.02Min: 21.4 / Avg: 21.63 / Max: 21.91Min: 19.38 / Avg: 19.4 / Max: 19.45Min: 16.99 / Avg: 17.19 / Max: 17.31Min: 28.17 / Avg: 28.22 / Max: 28.26Min: 17.88 / Avg: 18.06 / Max: 18.19Min: 37.4 / Avg: 37.72 / Max: 38.01Min: 23.47 / Avg: 23.55 / Max: 23.6Min: 20.3 / Avg: 20.43 / Max: 20.52Min: 16.99 / Avg: 17.11 / Max: 17.27

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 387.2188.4294.0194.4884.8382.9285.9687.0299.2286.95114.8392.2686.9786.37
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 87.2 / Avg: 87.21 / Max: 87.22Min: 88.21 / Avg: 88.42 / Max: 88.6Min: 93.84 / Avg: 94.01 / Max: 94.13Min: 94.41 / Avg: 94.48 / Max: 94.59Min: 84.74 / Avg: 84.83 / Max: 84.97Min: 82.8 / Avg: 82.92 / Max: 83.07Min: 85.93 / Avg: 85.96 / Max: 86.02Min: 86.98 / Avg: 87.02 / Max: 87.09Min: 99.11 / Avg: 99.22 / Max: 99.3Min: 86.95 / Avg: 86.95 / Max: 86.96Min: 114.63 / Avg: 114.83 / Max: 115Min: 92.07 / Avg: 92.26 / Max: 92.37Min: 86.94 / Avg: 86.97 / Max: 87.03Min: 86.23 / Avg: 86.37 / Max: 86.48

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 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702160320480640800SE +/- 1.29, N = 3SE +/- 1.56, N = 3SE +/- 0.89, N = 3SE +/- 3.68, N = 3SE +/- 1.12, N = 3SE +/- 2.67, N = 3SE +/- 2.29, N = 3SE +/- 0.89, N = 3SE +/- 0.47, N = 3SE +/- 1.44, N = 3SE +/- 2.05, N = 3SE +/- 5.04, N = 4SE +/- 3.16, N = 9SE +/- 1.73, N = 3243.92280.78581.30440.00275.35343.39289.36233.51529.62245.40763.56404.33312.70234.21
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702130260390520650Min: 241.53 / Avg: 243.91 / Max: 245.95Min: 278.05 / Avg: 280.78 / Max: 283.44Min: 579.68 / Avg: 581.3 / Max: 582.76Min: 432.97 / Avg: 440 / Max: 445.42Min: 273.43 / Avg: 275.35 / Max: 277.3Min: 340.62 / Avg: 343.39 / Max: 348.73Min: 286.12 / Avg: 289.36 / Max: 293.79Min: 232.12 / Avg: 233.51 / Max: 235.17Min: 528.7 / Avg: 529.62 / Max: 530.26Min: 242.68 / Avg: 245.4 / Max: 247.61Min: 759.57 / Avg: 763.56 / Max: 766.35Min: 391.86 / Avg: 404.33 / Max: 414.08Min: 297.71 / Avg: 312.7 / Max: 321.97Min: 230.9 / Avg: 234.2 / Max: 236.76

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021530456075SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 325.2129.2354.1542.8627.8633.9829.1223.9849.9225.5068.5039.7432.0724.03
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021326395265Min: 25.18 / Avg: 25.21 / Max: 25.25Min: 29.13 / Avg: 29.23 / Max: 29.37Min: 54.13 / Avg: 54.15 / Max: 54.16Min: 42.78 / Avg: 42.86 / Max: 42.98Min: 27.84 / Avg: 27.86 / Max: 27.89Min: 33.92 / Avg: 33.98 / Max: 34.07Min: 29.07 / Avg: 29.12 / Max: 29.19Min: 23.93 / Avg: 23.98 / Max: 24.01Min: 49.75 / Avg: 49.92 / Max: 50.11Min: 25.47 / Avg: 25.5 / Max: 25.56Min: 68.42 / Avg: 68.5 / Max: 68.63Min: 39.64 / Avg: 39.74 / Max: 39.84Min: 32.01 / Avg: 32.07 / Max: 32.1Min: 23.95 / Avg: 24.03 / Max: 24.14

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021020304050SE +/- 0.04, N = 4SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 4SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 4SE +/- 0.03, N = 3SE +/- 0.03, N = 4SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 413.7116.3835.2526.2715.6920.5716.4612.9631.1413.8245.5924.0618.5912.99
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645Min: 13.64 / Avg: 13.71 / Max: 13.81Min: 16.35 / Avg: 16.38 / Max: 16.42Min: 35.21 / Avg: 35.25 / Max: 35.28Min: 26.23 / Avg: 26.27 / Max: 26.29Min: 15.6 / Avg: 15.69 / Max: 15.9Min: 20.43 / Avg: 20.57 / Max: 20.67Min: 16.42 / Avg: 16.46 / Max: 16.52Min: 12.87 / Avg: 12.96 / Max: 13.01Min: 31.1 / Avg: 31.14 / Max: 31.21Min: 13.75 / Avg: 13.82 / Max: 13.87Min: 45.54 / Avg: 45.59 / Max: 45.62Min: 24.05 / Avg: 24.06 / Max: 24.07Min: 18.5 / Avg: 18.59 / Max: 18.68Min: 12.91 / Avg: 12.99 / Max: 13.09

Build2

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.07, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 3SE +/- 0.32, N = 3SE +/- 0.30, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.16, N = 3SE +/- 0.29, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.22, N = 369.4374.48113.2694.3571.4675.8574.2068.29105.7169.86145.4487.6676.6567.97
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 69.34 / Avg: 69.43 / Max: 69.57Min: 74.18 / Avg: 74.48 / Max: 74.74Min: 113.02 / Avg: 113.26 / Max: 113.53Min: 94.22 / Avg: 94.35 / Max: 94.43Min: 70.83 / Avg: 71.46 / Max: 71.85Min: 75.26 / Avg: 75.85 / Max: 76.19Min: 74.09 / Avg: 74.2 / Max: 74.34Min: 68.11 / Avg: 68.29 / Max: 68.39Min: 105.37 / Avg: 105.71 / Max: 106.15Min: 69.58 / Avg: 69.86 / Max: 70.15Min: 145.08 / Avg: 145.44 / Max: 146.02Min: 87.37 / Avg: 87.66 / Max: 87.82Min: 76.5 / Avg: 76.65 / Max: 76.84Min: 67.65 / Avg: 67.97 / Max: 68.39

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.32, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.30, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.31, N = 361.8169.62136.62103.7466.5784.2169.4262.27122.4162.48172.1396.7776.1662.56
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 61.69 / Avg: 61.81 / Max: 61.9Min: 69.45 / Avg: 69.62 / Max: 69.79Min: 136.37 / Avg: 136.62 / Max: 137.03Min: 103.26 / Avg: 103.74 / Max: 104.13Min: 66.45 / Avg: 66.57 / Max: 66.76Min: 83.58 / Avg: 84.21 / Max: 84.54Min: 69.16 / Avg: 69.42 / Max: 69.74Min: 61.99 / Avg: 62.27 / Max: 62.58Min: 122.19 / Avg: 122.41 / Max: 122.67Min: 62.24 / Avg: 62.48 / Max: 62.81Min: 171.71 / Avg: 172.13 / Max: 172.7Min: 96.64 / Avg: 96.77 / Max: 96.88Min: 75.93 / Avg: 76.16 / Max: 76.36Min: 62.22 / Avg: 62.56 / Max: 63.19

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version and benchmarked with the clover_bm.in input file (Problem 5). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021632486480SE +/- 0.08, N = 4SE +/- 0.07, N = 4SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 4SE +/- 0.05, N = 3SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 413.6615.2936.8045.4618.6122.8319.0714.0348.2915.2869.9125.2120.3514.701. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeafLagrangian-Eulerian HydrodynamicsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021428425670Min: 13.55 / Avg: 13.66 / Max: 13.9Min: 15.1 / Avg: 15.29 / Max: 15.4Min: 36.61 / Avg: 36.8 / Max: 36.9Min: 45.38 / Avg: 45.46 / Max: 45.52Min: 18.57 / Avg: 18.61 / Max: 18.67Min: 22.76 / Avg: 22.83 / Max: 22.94Min: 19 / Avg: 19.07 / Max: 19.13Min: 13.91 / Avg: 14.03 / Max: 14.23Min: 48.21 / Avg: 48.29 / Max: 48.38Min: 15.23 / Avg: 15.28 / Max: 15.32Min: 69.87 / Avg: 69.91 / Max: 69.96Min: 25.12 / Avg: 25.21 / Max: 25.39Min: 20.26 / Avg: 20.35 / Max: 20.46Min: 14.59 / Avg: 14.7 / Max: 14.821. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

Dolfyn

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 320.7420.7917.5621.4220.1117.6020.6920.7821.3920.8121.5520.7920.4820.56
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 20.73 / Avg: 20.74 / Max: 20.77Min: 20.71 / Avg: 20.79 / Max: 20.84Min: 17.53 / Avg: 17.56 / Max: 17.6Min: 21.35 / Avg: 21.42 / Max: 21.51Min: 20.1 / Avg: 20.11 / Max: 20.15Min: 17.53 / Avg: 17.6 / Max: 17.67Min: 20.68 / Avg: 20.69 / Max: 20.7Min: 20.77 / Avg: 20.78 / Max: 20.8Min: 21.37 / Avg: 21.39 / Max: 21.42Min: 20.79 / Avg: 20.81 / Max: 20.83Min: 21.5 / Avg: 21.55 / Max: 21.61Min: 20.67 / Avg: 20.79 / Max: 20.9Min: 20.46 / Avg: 20.48 / Max: 20.5Min: 20.54 / Avg: 20.56 / Max: 20.59

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702102030405041.8541.5236.9842.7840.8940.5541.0442.3543.3841.9144.4941.1541.3343.16

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000590.56586.67668.99655.45566.991108.26577.65604.15623.78584.61715.21574.77576.98649.31

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000792.74783.25775.67736.22739.71785.07755.01789.56748.54788.52783.24763.80749.67817.66

GPAW

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 0.26, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 3SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.87, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.37, N = 3SE +/- 0.11, N = 3SE +/- 0.67, N = 3SE +/- 0.19, N = 3SE +/- 0.46, N = 3SE +/- 0.15, N = 379.9893.24200.41177.91103.30165.41105.6778.39205.8986.74271.16139.15116.4181.061. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 79.56 / Avg: 79.98 / Max: 80.47Min: 93.21 / Avg: 93.24 / Max: 93.28Min: 200.15 / Avg: 200.41 / Max: 200.81Min: 177.8 / Avg: 177.9 / Max: 178.09Min: 102.87 / Avg: 103.3 / Max: 103.79Min: 163.66 / Avg: 165.41 / Max: 166.3Min: 105.35 / Avg: 105.67 / Max: 106.04Min: 78.29 / Avg: 78.39 / Max: 78.44Min: 205.17 / Avg: 205.89 / Max: 206.37Min: 86.54 / Avg: 86.74 / Max: 86.91Min: 270.41 / Avg: 271.16 / Max: 272.49Min: 138.85 / Avg: 139.15 / Max: 139.52Min: 115.76 / Avg: 116.41 / Max: 117.3Min: 80.78 / Avg: 81.06 / Max: 81.291. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Incompact3D

Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702100200300400500SE +/- 0.73, N = 3SE +/- 0.57, N = 3SE +/- 0.12, N = 3SE +/- 0.47, N = 3SE +/- 0.39, N = 3SE +/- 0.68, N = 3SE +/- 0.52, N = 3SE +/- 0.75, N = 3SE +/- 0.37, N = 3SE +/- 1.22, N = 3SE +/- 1.04, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 3SE +/- 0.50, N = 3195.34193.92375.70270.72187.60230.94189.66206.95325.84206.58450.85262.63200.21224.621. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770280160240320400Min: 194.23 / Avg: 195.34 / Max: 196.73Min: 192.99 / Avg: 193.92 / Max: 194.97Min: 375.47 / Avg: 375.7 / Max: 375.88Min: 270.13 / Avg: 270.72 / Max: 271.65Min: 186.85 / Avg: 187.6 / Max: 188.17Min: 229.71 / Avg: 230.94 / Max: 232.08Min: 188.81 / Avg: 189.66 / Max: 190.61Min: 206.04 / Avg: 206.95 / Max: 208.44Min: 325.11 / Avg: 325.84 / Max: 326.32Min: 204.79 / Avg: 206.58 / Max: 208.92Min: 449.53 / Avg: 450.85 / Max: 452.91Min: 262.32 / Avg: 262.63 / Max: 263.13Min: 199.84 / Avg: 200.21 / Max: 200.55Min: 224.11 / Avg: 224.62 / Max: 225.621. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Minion

Minion is an open-source constraint solver that is designed to be very scalable. This test profile uses Minion's integrated benchmarking problems to solve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMinion 1.8Benchmark: GracefulEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021224364860SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 353.2053.1844.9254.7651.6244.8452.3453.0754.6353.2955.0852.9352.3052.351. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterMinion 1.8Benchmark: GracefulEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021122334455Min: 53.13 / Avg: 53.2 / Max: 53.31Min: 53.07 / Avg: 53.18 / Max: 53.26Min: 44.81 / Avg: 44.92 / Max: 45.04Min: 54.61 / Avg: 54.76 / Max: 54.89Min: 51.51 / Avg: 51.62 / Max: 51.69Min: 44.76 / Avg: 44.84 / Max: 44.96Min: 52.19 / Avg: 52.34 / Max: 52.57Min: 52.97 / Avg: 53.07 / Max: 53.19Min: 54.4 / Avg: 54.63 / Max: 54.76Min: 53.08 / Avg: 53.29 / Max: 53.44Min: 54.97 / Avg: 55.08 / Max: 55.19Min: 52.9 / Avg: 52.93 / Max: 52.97Min: 52.29 / Avg: 52.3 / Max: 52.3Min: 52.3 / Avg: 52.35 / Max: 52.431. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic

OpenBenchmarking.orgSeconds, Fewer Is BetterMinion 1.8Benchmark: QuasigroupEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.18, N = 3SE +/- 0.37, N = 3SE +/- 0.39, N = 3SE +/- 0.80, N = 3SE +/- 0.55, N = 3SE +/- 0.12, N = 3SE +/- 0.46, N = 3SE +/- 0.28, N = 3SE +/- 0.38, N = 3SE +/- 0.31, N = 3SE +/- 0.50, N = 3SE +/- 0.37, N = 3SE +/- 0.44, N = 3SE +/- 0.49, N = 3135.09135.33114.95140.13132.23114.91133.23135.90140.43136.07140.53136.52133.73134.931. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterMinion 1.8Benchmark: QuasigroupEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 134.86 / Avg: 135.09 / Max: 135.44Min: 134.6 / Avg: 135.33 / Max: 135.75Min: 114.45 / Avg: 114.95 / Max: 115.72Min: 138.59 / Avg: 140.13 / Max: 141.26Min: 131.17 / Avg: 132.23 / Max: 133Min: 114.67 / Avg: 114.91 / Max: 115.06Min: 132.34 / Avg: 133.23 / Max: 133.85Min: 135.39 / Avg: 135.9 / Max: 136.37Min: 139.94 / Avg: 140.43 / Max: 141.19Min: 135.55 / Avg: 136.07 / Max: 136.63Min: 139.78 / Avg: 140.53 / Max: 141.47Min: 135.79 / Avg: 136.52 / Max: 136.95Min: 133.03 / Avg: 133.73 / Max: 134.55Min: 133.97 / Avg: 134.93 / Max: 135.631. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic

OpenBenchmarking.orgSeconds, Fewer Is BetterMinion 1.8Benchmark: SolitaireEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.32, N = 3SE +/- 0.17, N = 3SE +/- 0.23, N = 3SE +/- 0.33, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 379.7279.8567.8082.1577.8067.7479.0080.1281.9780.1582.8480.3379.0379.391. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterMinion 1.8Benchmark: SolitaireEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021632486480Min: 79.1 / Avg: 79.72 / Max: 80.13Min: 79.51 / Avg: 79.85 / Max: 80.03Min: 67.36 / Avg: 67.8 / Max: 68.07Min: 81.53 / Avg: 82.15 / Max: 82.68Min: 77.68 / Avg: 77.8 / Max: 77.93Min: 67.63 / Avg: 67.74 / Max: 67.95Min: 78.98 / Avg: 79 / Max: 79.03Min: 80.05 / Avg: 80.12 / Max: 80.26Min: 81.59 / Avg: 81.97 / Max: 82.16Min: 80.03 / Avg: 80.15 / Max: 80.32Min: 82.61 / Avg: 82.84 / Max: 83.06Min: 80.18 / Avg: 80.33 / Max: 80.55Min: 78.84 / Avg: 79.03 / Max: 79.18Min: 79.2 / Avg: 79.39 / Max: 79.661. (CXX) g++ options: -std=gnu++11 -O3 -fomit-frame-pointer -rdynamic

Monte Carlo Simulations of Ionised Nebulae

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 32192152212392151972142392502232762282172421. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 249 / Avg: 249.67 / Max: 250Min: 216 / Avg: 216.67 / Max: 217Min: 242 / Avg: 242.33 / Max: 2431. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Montage Astronomical Image Mosaic Engine

Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.31, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.28, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 395.3995.4880.8598.2492.7780.9493.8695.5698.3195.5398.4195.4593.9294.761. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 95.12 / Avg: 95.39 / Max: 95.75Min: 95.35 / Avg: 95.48 / Max: 95.62Min: 80.76 / Avg: 80.85 / Max: 80.91Min: 98.08 / Avg: 98.24 / Max: 98.48Min: 92.29 / Avg: 92.77 / Max: 93.36Min: 80.67 / Avg: 80.94 / Max: 81.13Min: 93.53 / Avg: 93.86 / Max: 94.1Min: 95.43 / Avg: 95.56 / Max: 95.8Min: 98.25 / Avg: 98.31 / Max: 98.39Min: 95.11 / Avg: 95.53 / Max: 96.06Min: 98.12 / Avg: 98.41 / Max: 98.67Min: 95.27 / Avg: 95.45 / Max: 95.58Min: 93.8 / Avg: 93.92 / Max: 94.11Min: 94.65 / Avg: 94.76 / Max: 94.971. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.16, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.15, N = 317.0317.2117.4417.3916.3716.2016.5516.8918.1016.6721.3517.7516.9217.371. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 16.72 / Avg: 17.03 / Max: 17.24Min: 17.21 / Avg: 17.21 / Max: 17.22Min: 17.42 / Avg: 17.43 / Max: 17.46Min: 17.38 / Avg: 17.39 / Max: 17.4Min: 16.34 / Avg: 16.37 / Max: 16.39Min: 16.19 / Avg: 16.2 / Max: 16.23Min: 16.49 / Avg: 16.55 / Max: 16.65Min: 16.79 / Avg: 16.89 / Max: 16.96Min: 18.08 / Avg: 18.1 / Max: 18.11Min: 16.52 / Avg: 16.67 / Max: 16.78Min: 21.31 / Avg: 21.35 / Max: 21.39Min: 17.73 / Avg: 17.75 / Max: 17.77Min: 16.91 / Avg: 16.92 / Max: 16.93Min: 17.08 / Avg: 17.37 / Max: 17.521. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

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 30MEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.30, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 323.4326.5360.5056.5729.6239.8930.6222.8367.2325.17113.1640.8733.8123.351. (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, Fewer Is BetterOpenFOAM 8Input: Motorbike 30MEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 23.3 / Avg: 23.43 / Max: 23.53Min: 26.35 / Avg: 26.53 / Max: 26.65Min: 60.32 / Avg: 60.5 / Max: 60.7Min: 56.49 / Avg: 56.57 / Max: 56.65Min: 29.5 / Avg: 29.62 / Max: 29.8Min: 39.79 / Avg: 39.89 / Max: 39.94Min: 30.52 / Avg: 30.62 / Max: 30.71Min: 22.63 / Avg: 22.83 / Max: 22.97Min: 67.08 / Avg: 67.23 / Max: 67.35Min: 25.06 / Avg: 25.17 / Max: 25.35Min: 112.77 / Avg: 113.16 / Max: 113.75Min: 40.67 / Avg: 40.87 / Max: 41.21Min: 33.73 / Avg: 33.81 / Max: 33.97Min: 23.06 / Avg: 23.35 / Max: 23.681. (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, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702120240360480600SE +/- 0.31, N = 3SE +/- 0.57, N = 3SE +/- 0.36, N = 3SE +/- 0.84, N = 3SE +/- 0.59, N = 3SE +/- 1.71, N = 3SE +/- 0.44, N = 3SE +/- 0.24, N = 3SE +/- 1.13, N = 3SE +/- 0.13, N = 3SE +/- 0.29, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.04, N = 3233.73236.99362.74520.45319.87454.84320.20232.98530.10260.78573.04313.64314.06233.341. (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, Fewer Is BetterOpenFOAM 8Input: Motorbike 60MEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702100200300400500Min: 233.28 / Avg: 233.73 / Max: 234.33Min: 235.98 / Avg: 236.99 / Max: 237.94Min: 362.09 / Avg: 362.74 / Max: 363.35Min: 518.85 / Avg: 520.45 / Max: 521.68Min: 319.1 / Avg: 319.87 / Max: 321.04Min: 452.49 / Avg: 454.84 / Max: 458.16Min: 319.73 / Avg: 320.2 / Max: 321.08Min: 232.55 / Avg: 232.98 / Max: 233.38Min: 528.05 / Avg: 530.1 / Max: 531.94Min: 260.58 / Avg: 260.78 / Max: 261.02Min: 572.49 / Avg: 573.04 / Max: 573.47Min: 313.39 / Avg: 313.64 / Max: 313.91Min: 313.84 / Avg: 314.06 / Max: 314.48Min: 233.29 / Avg: 233.34 / Max: 233.421. (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

Parboil

The Parboil Benchmarks from the IMPACT Research Group at University of Illinois are a set of throughput computing applications for looking at computing architecture and compilers. Parboil test-cases support OpenMP, OpenCL, and CUDA multi-processing environments. However, at this time the test profile is just making use of the OpenMP and OpenCL test workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP CUTCPEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.72611.45222.17832.90443.6305SE +/- 0.001666, N = 13SE +/- 0.006800, N = 12SE +/- 0.019546, N = 10SE +/- 0.005522, N = 11SE +/- 0.005531, N = 12SE +/- 0.007208, N = 11SE +/- 0.006410, N = 12SE +/- 0.001641, N = 13SE +/- 0.006375, N = 9SE +/- 0.001391, N = 13SE +/- 0.016438, N = 9SE +/- 0.010317, N = 11SE +/- 0.003909, N = 12SE +/- 0.002056, N = 130.9026111.2568822.7962771.7835891.1349611.7159441.1492820.7622382.9651360.8907263.2271031.8738041.5616880.7734741. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP CUTCPEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810Min: 0.89 / Avg: 0.9 / Max: 0.91Min: 1.22 / Avg: 1.26 / Max: 1.3Min: 2.71 / Avg: 2.8 / Max: 2.88Min: 1.76 / Avg: 1.78 / Max: 1.82Min: 1.11 / Avg: 1.13 / Max: 1.17Min: 1.66 / Avg: 1.72 / Max: 1.74Min: 1.12 / Avg: 1.15 / Max: 1.18Min: 0.75 / Avg: 0.76 / Max: 0.77Min: 2.92 / Avg: 2.97 / Max: 2.99Min: 0.88 / Avg: 0.89 / Max: 0.9Min: 3.17 / Avg: 3.23 / Max: 3.29Min: 1.83 / Avg: 1.87 / Max: 1.93Min: 1.54 / Avg: 1.56 / Max: 1.59Min: 0.76 / Avg: 0.77 / Max: 0.791. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP MRI GriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.83, N = 3SE +/- 0.28, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.29, N = 3SE +/- 0.24, N = 3SE +/- 0.22, N = 3SE +/- 0.63, N = 3SE +/- 0.24, N = 3SE +/- 0.29, N = 3SE +/- 0.88, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.77, N = 395.40128.2934.0462.2975.4449.0176.19109.3051.6593.4875.4395.7765.42110.471. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP MRI GriddingEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 93.75 / Avg: 95.4 / Max: 96.31Min: 127.98 / Avg: 128.29 / Max: 128.85Min: 33.82 / Avg: 34.04 / Max: 34.32Min: 61.91 / Avg: 62.29 / Max: 62.65Min: 75.01 / Avg: 75.44 / Max: 76Min: 48.58 / Avg: 49.01 / Max: 49.42Min: 75.76 / Avg: 76.19 / Max: 76.51Min: 108.54 / Avg: 109.3 / Max: 110.55Min: 51.36 / Avg: 51.65 / Max: 52.13Min: 93.04 / Avg: 93.48 / Max: 94.02Min: 73.67 / Avg: 75.43 / Max: 76.37Min: 95.59 / Avg: 95.77 / Max: 95.96Min: 65.38 / Avg: 65.42 / Max: 65.48Min: 109.25 / Avg: 110.47 / Max: 111.891. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP StencilEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.024850, N = 7SE +/- 0.046959, N = 15SE +/- 0.288514, N = 15SE +/- 0.040723, N = 15SE +/- 0.076268, N = 15SE +/- 0.084885, N = 6SE +/- 0.076520, N = 15SE +/- 0.021316, N = 15SE +/- 0.172857, N = 15SE +/- 0.017804, N = 7SE +/- 0.312883, N = 14SE +/- 0.040278, N = 15SE +/- 0.017882, N = 6SE +/- 0.025502, N = 93.1946623.6215079.8441025.7589254.3958508.6831314.2463613.1001227.6315973.77956810.6350234.1769714.5725913.0864351. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP StencilEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 3.06 / Avg: 3.19 / Max: 3.27Min: 3.4 / Avg: 3.62 / Max: 3.93Min: 6.2 / Avg: 9.84 / Max: 10.6Min: 5.51 / Avg: 5.76 / Max: 6.05Min: 3.64 / Avg: 4.4 / Max: 4.73Min: 8.26 / Avg: 8.68 / Max: 8.8Min: 3.7 / Avg: 4.25 / Max: 4.54Min: 2.98 / Avg: 3.1 / Max: 3.25Min: 5.38 / Avg: 7.63 / Max: 8.15Min: 3.72 / Avg: 3.78 / Max: 3.86Min: 6.84 / Avg: 10.64 / Max: 11.74Min: 4 / Avg: 4.18 / Max: 4.54Min: 4.53 / Avg: 4.57 / Max: 4.63Min: 2.96 / Avg: 3.09 / Max: 3.211. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP LBMEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021020304050SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 5SE +/- 0.07, N = 3SE +/- 0.26, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 321.9422.9427.2546.0727.6435.4227.6023.8242.9526.4745.7624.9229.0223.321. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp
OpenBenchmarking.orgSeconds, Fewer Is BetterParboil 2.5Test: OpenMP LBMEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645Min: 21.88 / Avg: 21.94 / Max: 21.99Min: 22.73 / Avg: 22.94 / Max: 23.1Min: 27.2 / Avg: 27.25 / Max: 27.28Min: 46.05 / Avg: 46.07 / Max: 46.1Min: 27.53 / Avg: 27.64 / Max: 27.7Min: 35.36 / Avg: 35.42 / Max: 35.47Min: 27.55 / Avg: 27.6 / Max: 27.63Min: 23.2 / Avg: 23.82 / Max: 24.72Min: 42.88 / Avg: 42.95 / Max: 43.08Min: 26.02 / Avg: 26.47 / Max: 26.92Min: 45.56 / Avg: 45.76 / Max: 46.03Min: 24.77 / Avg: 24.92 / Max: 25.05Min: 28.89 / Avg: 29.02 / Max: 29.09Min: 23.22 / Avg: 23.32 / Max: 23.461. (CXX) g++ options: -lm -lpthread -lgomp -O3 -ffast-math -fopenmp

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 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702400800120016002000SE +/- 22.87, N = 9SE +/- 6.34, N = 3SE +/- 0.33, N = 3SE +/- 4.40, N = 3SE +/- 3.48, N = 3SE +/- 11.50, N = 3SE +/- 5.50, N = 3SE +/- 1.64, N = 3SE +/- 1.18, N = 3SE +/- 16.58, N = 4SE +/- 0.83, N = 3SE +/- 5.19, N = 3SE +/- 1.29, N = 3SE +/- 1.52, N = 31372.731403.871356.261456.821317.271357.301386.781216.501520.431329.901656.881403.521342.141208.311. (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, Fewer Is BetterQuantum ESPRESSO 6.7Input: AUSURF112EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770230060090012001500Min: 1251.31 / Avg: 1372.73 / Max: 1438.64Min: 1396.5 / Avg: 1403.87 / Max: 1416.5Min: 1355.84 / Avg: 1356.26 / Max: 1356.92Min: 1450.92 / Avg: 1456.82 / Max: 1465.43Min: 1313.6 / Avg: 1317.27 / Max: 1324.22Min: 1338.99 / Avg: 1357.3 / Max: 1378.5Min: 1377.07 / Avg: 1386.78 / Max: 1396.11Min: 1214.11 / Avg: 1216.5 / Max: 1219.63Min: 1518.1 / Avg: 1520.43 / Max: 1521.97Min: 1306.89 / Avg: 1329.9 / Max: 1377.55Min: 1655.62 / Avg: 1656.88 / Max: 1658.44Min: 1394.1 / Avg: 1403.52 / Max: 1411.99Min: 1339.87 / Avg: 1342.14 / Max: 1344.32Min: 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

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430SE +/- 0.073, N = 5SE +/- 0.057, N = 5SE +/- 0.078, N = 3SE +/- 0.009, N = 4SE +/- 0.005, N = 5SE +/- 0.022, N = 4SE +/- 0.030, N = 5SE +/- 0.051, N = 15SE +/- 0.065, N = 3SE +/- 0.083, N = 6SE +/- 0.030, N = 3SE +/- 0.022, N = 4SE +/- 0.007, N = 4SE +/- 0.066, N = 88.4349.85822.21814.7929.80613.5309.8927.74718.1348.40525.37415.44511.5777.8191. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430Min: 8.16 / Avg: 8.43 / Max: 8.59Min: 9.76 / Avg: 9.86 / Max: 10.08Min: 22.12 / Avg: 22.22 / Max: 22.37Min: 14.76 / Avg: 14.79 / Max: 14.8Min: 9.79 / Avg: 9.81 / Max: 9.82Min: 13.49 / Avg: 13.53 / Max: 13.59Min: 9.81 / Avg: 9.89 / Max: 9.96Min: 7.37 / Avg: 7.75 / Max: 8.02Min: 18.02 / Avg: 18.13 / Max: 18.24Min: 8.14 / Avg: 8.41 / Max: 8.71Min: 25.33 / Avg: 25.37 / Max: 25.43Min: 15.41 / Avg: 15.44 / Max: 15.51Min: 11.57 / Avg: 11.58 / Max: 11.6Min: 7.45 / Avg: 7.82 / Max: 8.051. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.19, N = 3SE +/- 0.51, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 363.4787.56243.84157.1779.11125.5385.0154.65200.3564.21296.69147.38103.0054.711. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 63.31 / Avg: 63.47 / Max: 63.56Min: 87.32 / Avg: 87.56 / Max: 87.75Min: 243.81 / Avg: 243.84 / Max: 243.89Min: 156.97 / Avg: 157.17 / Max: 157.56Min: 79.03 / Avg: 79.11 / Max: 79.27Min: 125.35 / Avg: 125.53 / Max: 125.64Min: 84.8 / Avg: 85 / Max: 85.18Min: 54.27 / Avg: 54.65 / Max: 54.89Min: 199.81 / Avg: 200.35 / Max: 201.37Min: 64.09 / Avg: 64.21 / Max: 64.3Min: 296.63 / Avg: 296.69 / Max: 296.79Min: 147.07 / Avg: 147.38 / Max: 147.56Min: 102.75 / Avg: 103 / Max: 103.2Min: 54.68 / Avg: 54.71 / Max: 54.751. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.47, N = 15SE +/- 0.42, N = 3SE +/- 0.11, N = 3SE +/- 0.76, N = 10SE +/- 0.28, N = 3SE +/- 0.52, N = 3SE +/- 0.26, N = 3SE +/- 0.47, N = 3SE +/- 0.53, N = 3SE +/- 0.82, N = 15SE +/- 0.41, N = 3SE +/- 1.14, N = 3SE +/- 0.25, N = 3SE +/- 0.61, N = 1446.5359.44130.9899.7257.6890.5257.9847.37107.9747.43148.2098.1959.6548.721. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 44.25 / Avg: 46.53 / Max: 49.64Min: 58.61 / Avg: 59.44 / Max: 59.95Min: 130.76 / Avg: 130.98 / Max: 131.14Min: 96.18 / Avg: 99.72 / Max: 103.91Min: 57.12 / Avg: 57.68 / Max: 57.99Min: 89.7 / Avg: 90.52 / Max: 91.49Min: 57.58 / Avg: 57.98 / Max: 58.48Min: 46.63 / Avg: 47.37 / Max: 48.23Min: 106.91 / Avg: 107.97 / Max: 108.52Min: 44.96 / Avg: 47.42 / Max: 54.58Min: 147.55 / Avg: 148.2 / Max: 148.96Min: 96.7 / Avg: 98.19 / Max: 100.44Min: 59.34 / Avg: 59.65 / Max: 60.14Min: 46.16 / Avg: 48.72 / Max: 52.951. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025SE +/- 0.074, N = 15SE +/- 0.016, N = 5SE +/- 0.017, N = 3SE +/- 0.159, N = 8SE +/- 0.022, N = 4SE +/- 0.049, N = 4SE +/- 0.007, N = 4SE +/- 0.030, N = 5SE +/- 0.079, N = 3SE +/- 0.119, N = 4SE +/- 0.040, N = 4SE +/- 0.034, N = 3SE +/- 0.042, N = 4SE +/- 0.017, N = 59.1859.91319.70718.18914.31615.04914.3208.90516.89512.02715.54017.72914.7618.9281. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702510152025Min: 9.06 / Avg: 9.19 / Max: 10.22Min: 9.88 / Avg: 9.91 / Max: 9.97Min: 19.68 / Avg: 19.71 / Max: 19.74Min: 17.99 / Avg: 18.19 / Max: 19.3Min: 14.25 / Avg: 14.32 / Max: 14.36Min: 14.94 / Avg: 15.05 / Max: 15.15Min: 14.31 / Avg: 14.32 / Max: 14.34Min: 8.85 / Avg: 8.91 / Max: 9.02Min: 16.76 / Avg: 16.9 / Max: 17.03Min: 11.69 / Avg: 12.03 / Max: 12.26Min: 15.47 / Avg: 15.54 / Max: 15.65Min: 17.66 / Avg: 17.73 / Max: 17.77Min: 14.65 / Avg: 14.76 / Max: 14.83Min: 8.9 / Avg: 8.93 / Max: 8.991. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.98, N = 3SE +/- 0.36, N = 3SE +/- 0.07, N = 3SE +/- 0.58, N = 3SE +/- 0.18, N = 3SE +/- 0.58, N = 3SE +/- 0.50, N = 3SE +/- 0.11, N = 3SE +/- 0.54, N = 3SE +/- 0.05, N = 3SE +/- 1.23, N = 5SE +/- 0.56, N = 3SE +/- 0.65, N = 3SE +/- 0.46, N = 3107.70107.4893.08108.86103.8092.08105.24107.88109.60108.25110.50106.77105.28106.581. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 105.86 / Avg: 107.7 / Max: 109.21Min: 106.77 / Avg: 107.48 / Max: 107.96Min: 92.93 / Avg: 93.08 / Max: 93.17Min: 108.23 / Avg: 108.86 / Max: 110.01Min: 103.43 / Avg: 103.8 / Max: 104Min: 91.23 / Avg: 92.08 / Max: 93.18Min: 104.53 / Avg: 105.24 / Max: 106.2Min: 107.69 / Avg: 107.88 / Max: 108.06Min: 108.57 / Avg: 109.6 / Max: 110.38Min: 108.18 / Avg: 108.25 / Max: 108.34Min: 108.22 / Avg: 110.5 / Max: 115.08Min: 106.14 / Avg: 106.77 / Max: 107.88Min: 104.57 / Avg: 105.28 / Max: 106.58Min: 105.66 / Avg: 106.58 / Max: 107.161. (CXX) g++ options: -O2 -lOpenCL

Timed HMMer Search

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.18, N = 3166.11145.01104.26132.39139.82110.43141.65191.15129.44165.55126.21128.93133.76191.231. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77024080120160200Min: 165.99 / Avg: 166.11 / Max: 166.19Min: 144.87 / Avg: 145.01 / Max: 145.14Min: 104.21 / Avg: 104.26 / Max: 104.31Min: 132.35 / Avg: 132.39 / Max: 132.48Min: 139.74 / Avg: 139.82 / Max: 139.89Min: 110.31 / Avg: 110.43 / Max: 110.57Min: 141.6 / Avg: 141.65 / Max: 141.72Min: 190.84 / Avg: 191.15 / Max: 191.38Min: 129.26 / Avg: 129.44 / Max: 129.62Min: 165.45 / Avg: 165.55 / Max: 165.66Min: 126.1 / Avg: 126.21 / Max: 126.28Min: 128.87 / Avg: 128.93 / Max: 129.01Min: 133.6 / Avg: 133.76 / Max: 133.9Min: 190.86 / Avg: 191.23 / Max: 191.421. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.037, N = 5SE +/- 0.021, N = 5SE +/- 0.030, N = 5SE +/- 0.028, N = 5SE +/- 0.014, N = 5SE +/- 0.037, N = 5SE +/- 0.030, N = 5SE +/- 0.024, N = 5SE +/- 0.023, N = 5SE +/- 0.033, N = 5SE +/- 0.035, N = 5SE +/- 0.004, N = 5SE +/- 0.027, N = 5SE +/- 0.027, N = 510.0409.9388.59810.2219.6028.8689.7359.98910.2369.92511.1129.8929.72510.0971. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 9.91 / Avg: 10.04 / Max: 10.12Min: 9.89 / Avg: 9.94 / Max: 10.01Min: 8.55 / Avg: 8.6 / Max: 8.69Min: 10.15 / Avg: 10.22 / Max: 10.32Min: 9.57 / Avg: 9.6 / Max: 9.64Min: 8.78 / Avg: 8.87 / Max: 8.95Min: 9.66 / Avg: 9.74 / Max: 9.84Min: 9.92 / Avg: 9.99 / Max: 10.06Min: 10.16 / Avg: 10.24 / Max: 10.3Min: 9.82 / Avg: 9.92 / Max: 10Min: 11.04 / Avg: 11.11 / Max: 11.22Min: 9.88 / Avg: 9.89 / Max: 9.9Min: 9.65 / Avg: 9.73 / Max: 9.8Min: 10.02 / Avg: 10.1 / Max: 10.181. (CC) gcc options: -std=c99 -O3 -lm -lpthread

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.17, N = 3SE +/- 0.34, N = 3SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 1.02, N = 3SE +/- 0.05, N = 3SE +/- 1.17, N = 4SE +/- 0.07, N = 3SE +/- 0.21, N = 3SE +/- 0.29, N = 3SE +/- 0.25, N = 3102.4596.8172.8989.2086.7272.4394.26116.1587.60104.5288.6785.9386.00115.271. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 102.2 / Avg: 102.45 / Max: 102.77Min: 96.44 / Avg: 96.81 / Max: 97.49Min: 72.56 / Avg: 72.89 / Max: 73.16Min: 88.88 / Avg: 89.2 / Max: 89.39Min: 86.61 / Avg: 86.72 / Max: 86.86Min: 72.17 / Avg: 72.43 / Max: 72.9Min: 93.87 / Avg: 94.26 / Max: 94.59Min: 115.11 / Avg: 116.15 / Max: 118.18Min: 87.51 / Avg: 87.6 / Max: 87.67Min: 103.18 / Avg: 104.52 / Max: 108.01Min: 88.6 / Avg: 88.67 / Max: 88.81Min: 85.7 / Avg: 85.93 / Max: 86.35Min: 85.64 / Avg: 86 / Max: 86.58Min: 114.96 / Avg: 115.27 / Max: 115.771. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.58, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.45, N = 3SE +/- 0.52, N = 3SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.22, N = 3SE +/- 0.20, N = 3SE +/- 0.28, N = 370.1771.5669.5174.9972.1371.6772.2170.6773.7970.7272.9973.1772.6870.11
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPUEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021428425670Min: 69.04 / Avg: 70.17 / Max: 70.95Min: 71.46 / Avg: 71.56 / Max: 71.73Min: 69.32 / Avg: 69.51 / Max: 69.77Min: 74.85 / Avg: 74.99 / Max: 75.07Min: 71.89 / Avg: 72.13 / Max: 72.38Min: 70.79 / Avg: 71.67 / Max: 72.23Min: 71.26 / Avg: 72.21 / Max: 73.03Min: 70.52 / Avg: 70.67 / Max: 70.87Min: 73.4 / Avg: 73.79 / Max: 74.01Min: 70.48 / Avg: 70.72 / Max: 70.91Min: 72.82 / Avg: 72.99 / Max: 73.3Min: 72.74 / Avg: 73.17 / Max: 73.46Min: 72.4 / Avg: 72.68 / Max: 73.08Min: 69.57 / Avg: 70.11 / Max: 70.51

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021020304050SE +/- 0.24, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 3SE +/- 0.48, N = 3SE +/- 0.20, N = 3SE +/- 0.20, N = 3SE +/- 0.27, N = 3SE +/- 0.35, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 333.6033.4335.6736.3532.8729.4532.6533.4138.0733.9645.2134.8434.3133.27
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645Min: 33.36 / Avg: 33.6 / Max: 34.09Min: 33.26 / Avg: 33.43 / Max: 33.62Min: 35.42 / Avg: 35.67 / Max: 36.1Min: 35.71 / Avg: 36.35 / Max: 37.28Min: 32.54 / Avg: 32.87 / Max: 33.22Min: 29.13 / Avg: 29.45 / Max: 29.83Min: 32.15 / Avg: 32.64 / Max: 33.08Min: 32.9 / Avg: 33.41 / Max: 34.08Min: 37.91 / Avg: 38.07 / Max: 38.32Min: 33.82 / Avg: 33.96 / Max: 34.23Min: 45 / Avg: 45.21 / Max: 45.37Min: 34.65 / Avg: 34.84 / Max: 35.01Min: 33.83 / Avg: 34.31 / Max: 34.61Min: 32.84 / Avg: 33.27 / Max: 33.73

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.036, N = 6SE +/- 0.044, N = 6SE +/- 0.034, N = 5SE +/- 0.033, N = 6SE +/- 0.016, N = 6SE +/- 0.016, N = 6SE +/- 0.020, N = 6SE +/- 0.038, N = 6SE +/- 0.043, N = 5SE +/- 0.025, N = 6SE +/- 0.047, N = 4SE +/- 0.018, N = 6SE +/- 0.041, N = 6SE +/- 0.029, N = 67.0637.2209.7908.1056.9006.5866.9896.9718.7987.03311.9127.6457.1216.930
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 6.98 / Avg: 7.06 / Max: 7.22Min: 7.06 / Avg: 7.22 / Max: 7.34Min: 9.66 / Avg: 9.79 / Max: 9.84Min: 8 / Avg: 8.1 / Max: 8.23Min: 6.84 / Avg: 6.9 / Max: 6.95Min: 6.53 / Avg: 6.59 / Max: 6.62Min: 6.93 / Avg: 6.99 / Max: 7.06Min: 6.85 / Avg: 6.97 / Max: 7.12Min: 8.7 / Avg: 8.8 / Max: 8.93Min: 6.95 / Avg: 7.03 / Max: 7.12Min: 11.83 / Avg: 11.91 / Max: 12.03Min: 7.59 / Avg: 7.65 / Max: 7.7Min: 6.99 / Avg: 7.12 / Max: 7.23Min: 6.86 / Avg: 6.93 / Max: 7.04

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430SE +/- 0.13, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 4SE +/- 0.08, N = 4SE +/- 0.15, N = 4SE +/- 0.10, N = 4SE +/- 0.17, N = 3SE +/- 0.08, N = 4SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 4SE +/- 0.03, N = 415.8916.3318.8818.1015.7214.6015.8515.9719.1115.9723.5617.1816.1215.94
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430Min: 15.65 / Avg: 15.89 / Max: 16.17Min: 16.13 / Avg: 16.33 / Max: 16.51Min: 18.71 / Avg: 18.88 / Max: 19.01Min: 17.96 / Avg: 18.1 / Max: 18.29Min: 15.6 / Avg: 15.72 / Max: 15.88Min: 14.38 / Avg: 14.6 / Max: 14.74Min: 15.61 / Avg: 15.85 / Max: 16.23Min: 15.81 / Avg: 15.97 / Max: 16.23Min: 18.77 / Avg: 19.11 / Max: 19.31Min: 15.82 / Avg: 15.97 / Max: 16.13Min: 23.35 / Avg: 23.56 / Max: 23.91Min: 17 / Avg: 17.18 / Max: 17.52Min: 16.01 / Avg: 16.12 / Max: 16.23Min: 15.88 / Avg: 15.94 / Max: 16.04

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150SE +/- 0.18, N = 3SE +/- 0.65, N = 3SE +/- 0.92, N = 7SE +/- 1.07, N = 3SE +/- 0.80, N = 3SE +/- 0.59, N = 3SE +/- 0.60, N = 3SE +/- 0.45, N = 3SE +/- 0.64, N = 3SE +/- 1.10, N = 3SE +/- 1.44, N = 3SE +/- 0.45, N = 3SE +/- 0.58, N = 3SE +/- 0.05, N = 385.0386.7098.5296.8583.8375.2385.7384.79101.5986.06141.2588.3285.7684.83
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702306090120150Min: 84.8 / Avg: 85.03 / Max: 85.39Min: 85.78 / Avg: 86.7 / Max: 87.96Min: 95.01 / Avg: 98.52 / Max: 100.63Min: 94.95 / Avg: 96.85 / Max: 98.65Min: 82.24 / Avg: 83.83 / Max: 84.72Min: 74.45 / Avg: 75.23 / Max: 76.39Min: 85.04 / Avg: 85.73 / Max: 86.93Min: 84.12 / Avg: 84.79 / Max: 85.64Min: 100.3 / Avg: 101.59 / Max: 102.33Min: 83.86 / Avg: 86.06 / Max: 87.25Min: 138.42 / Avg: 141.25 / Max: 143.09Min: 87.53 / Avg: 88.32 / Max: 89.11Min: 84.6 / Avg: 85.76 / Max: 86.43Min: 84.74 / Avg: 84.83 / Max: 84.9

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.016, N = 5SE +/- 0.004, N = 5SE +/- 0.004, N = 5SE +/- 0.010, N = 5SE +/- 0.158, N = 15SE +/- 0.031, N = 5SE +/- 0.003, N = 5SE +/- 0.006, N = 5SE +/- 0.007, N = 5SE +/- 0.009, N = 5SE +/- 0.168, N = 15SE +/- 0.012, N = 5SE +/- 0.006, N = 5SE +/- 0.051, N = 510.33710.3259.29310.53910.0749.24010.08310.13010.74610.35811.32710.28110.15410.131
OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 10.28 / Avg: 10.34 / Max: 10.37Min: 10.32 / Avg: 10.33 / Max: 10.34Min: 9.28 / Avg: 9.29 / Max: 9.3Min: 10.52 / Avg: 10.54 / Max: 10.57Min: 9.88 / Avg: 10.07 / Max: 12.28Min: 9.14 / Avg: 9.24 / Max: 9.33Min: 10.08 / Avg: 10.08 / Max: 10.09Min: 10.11 / Avg: 10.13 / Max: 10.14Min: 10.72 / Avg: 10.75 / Max: 10.76Min: 10.34 / Avg: 10.36 / Max: 10.39Min: 11.13 / Avg: 11.33 / Max: 13.67Min: 10.25 / Avg: 10.28 / Max: 10.32Min: 10.13 / Avg: 10.15 / Max: 10.17Min: 10.04 / Avg: 10.13 / Max: 10.33

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 75, Compression Effort 7EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.90, N = 3SE +/- 1.08, N = 3SE +/- 0.04, N = 3SE +/- 0.46, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.65, N = 3SE +/- 0.13, N = 3SE +/- 0.87, N = 3SE +/- 1.62, N = 3SE +/- 0.09, N = 3SE +/- 0.47, N = 3138.08142.20227.13173.72135.97140.61137.44139.56199.54140.18277.67164.81138.04139.361. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 75, Compression Effort 7EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 138.03 / Avg: 138.08 / Max: 138.13Min: 142.07 / Avg: 142.2 / Max: 142.38Min: 225.67 / Avg: 227.13 / Max: 228.77Min: 172.62 / Avg: 173.72 / Max: 175.87Min: 135.9 / Avg: 135.97 / Max: 136.04Min: 140.07 / Avg: 140.61 / Max: 141.52Min: 137.39 / Avg: 137.44 / Max: 137.53Min: 139.49 / Avg: 139.56 / Max: 139.6Min: 198.32 / Avg: 199.54 / Max: 200.54Min: 140 / Avg: 140.18 / Max: 140.43Min: 275.95 / Avg: 277.67 / Max: 278.78Min: 161.8 / Avg: 164.81 / Max: 167.37Min: 137.91 / Avg: 138.04 / Max: 138.21Min: 138.86 / Avg: 139.36 / Max: 140.291. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 95, Compression Effort 7EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702110220330440550SE +/- 0.24, N = 3SE +/- 0.16, N = 3SE +/- 0.26, N = 3SE +/- 2.55, N = 3SE +/- 0.19, N = 3SE +/- 1.43, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 2.81, N = 3SE +/- 0.12, N = 3SE +/- 0.90, N = 3SE +/- 0.98, N = 3SE +/- 0.27, N = 3SE +/- 0.12, N = 3254.88260.46416.27309.98250.41254.76253.10256.56361.48258.37507.74301.52254.24257.011. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 95, Compression Effort 7EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770290180270360450Min: 254.57 / Avg: 254.88 / Max: 255.36Min: 260.18 / Avg: 260.46 / Max: 260.72Min: 415.89 / Avg: 416.27 / Max: 416.76Min: 305.77 / Avg: 309.98 / Max: 314.59Min: 250.08 / Avg: 250.41 / Max: 250.74Min: 252.29 / Avg: 254.76 / Max: 257.23Min: 252.84 / Avg: 253.1 / Max: 253.26Min: 256.37 / Avg: 256.56 / Max: 256.9Min: 356.31 / Avg: 361.48 / Max: 365.98Min: 258.22 / Avg: 258.37 / Max: 258.61Min: 506.68 / Avg: 507.74 / Max: 509.53Min: 300.37 / Avg: 301.52 / Max: 303.47Min: 253.9 / Avg: 254.24 / Max: 254.77Min: 256.86 / Avg: 257 / Max: 257.241. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Compression Effort 5EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.006, N = 6SE +/- 0.010, N = 6SE +/- 0.031, N = 4SE +/- 0.012, N = 5SE +/- 0.015, N = 6SE +/- 0.012, N = 6SE +/- 0.027, N = 6SE +/- 0.009, N = 6SE +/- 0.018, N = 5SE +/- 0.013, N = 6SE +/- 0.032, N = 4SE +/- 0.020, N = 5SE +/- 0.009, N = 6SE +/- 0.012, N = 68.0748.05512.7889.6547.9497.9737.9728.05211.1318.16215.5479.3547.9748.1251. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Compression Effort 5EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620Min: 8.05 / Avg: 8.07 / Max: 8.09Min: 8.01 / Avg: 8.06 / Max: 8.08Min: 12.74 / Avg: 12.79 / Max: 12.88Min: 9.63 / Avg: 9.65 / Max: 9.69Min: 7.92 / Avg: 7.95 / Max: 8.02Min: 7.94 / Avg: 7.97 / Max: 8.02Min: 7.91 / Avg: 7.97 / Max: 8.08Min: 8.04 / Avg: 8.05 / Max: 8.09Min: 11.09 / Avg: 11.13 / Max: 11.19Min: 8.12 / Avg: 8.16 / Max: 8.21Min: 15.46 / Avg: 15.55 / Max: 15.62Min: 9.31 / Avg: 9.35 / Max: 9.43Min: 7.94 / Avg: 7.97 / Max: 8Min: 8.1 / Avg: 8.13 / Max: 8.171. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Lossless CompressionEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000SE +/- 0.22, N = 3SE +/- 0.13, N = 3SE +/- 0.43, N = 3SE +/- 0.30, N = 3SE +/- 0.20, N = 3SE +/- 0.50, N = 3SE +/- 0.20, N = 3SE +/- 0.41, N = 3SE +/- 0.80, N = 3SE +/- 0.09, N = 3SE +/- 0.56, N = 3SE +/- 1.69, N = 3SE +/- 0.25, N = 3SE +/- 2.26, N = 3473.76474.59778.66580.07467.51475.39467.43474.55680.90481.50954.80562.07467.70481.951. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux
OpenBenchmarking.orgSeconds, Fewer Is BetterWebP2 Image Encode 20210126Encode Settings: Quality 100, Lossless CompressionEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77022004006008001000Min: 473.32 / Avg: 473.76 / Max: 474.03Min: 474.43 / Avg: 474.59 / Max: 474.85Min: 777.8 / Avg: 778.66 / Max: 779.18Min: 579.69 / Avg: 580.07 / Max: 580.65Min: 467.15 / Avg: 467.51 / Max: 467.82Min: 474.62 / Avg: 475.39 / Max: 476.33Min: 467.12 / Avg: 467.43 / Max: 467.79Min: 473.79 / Avg: 474.55 / Max: 475.18Min: 679.66 / Avg: 680.9 / Max: 682.4Min: 481.32 / Avg: 481.5 / Max: 481.6Min: 953.7 / Avg: 954.8 / Max: 955.56Min: 558.73 / Avg: 562.07 / Max: 564.17Min: 467.23 / Avg: 467.7 / Max: 468.09Min: 477.74 / Avg: 481.95 / Max: 485.471. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -rdynamic -lpthread -ljpeg -lwebp -lwebpdemux

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.03, N = 3SE +/- 0.64, N = 3SE +/- 0.48, N = 3SE +/- 0.89, N = 3SE +/- 0.45, N = 3SE +/- 0.45, N = 3SE +/- 1.14, N = 3SE +/- 0.34, N = 3SE +/- 1.02, N = 4SE +/- 0.35, N = 3SE +/- 0.41, N = 3SE +/- 0.51, N = 3SE +/- 0.52, N = 3SE +/- 0.55, N = 391.5191.3293.7987.9486.5783.2886.2397.3092.3592.59107.0189.4386.6897.951. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 91.47 / Avg: 91.51 / Max: 91.55Min: 90.24 / Avg: 91.31 / Max: 92.46Min: 92.83 / Avg: 93.79 / Max: 94.31Min: 86.34 / Avg: 87.94 / Max: 89.41Min: 86.01 / Avg: 86.57 / Max: 87.47Min: 82.43 / Avg: 83.28 / Max: 83.97Min: 84.36 / Avg: 86.23 / Max: 88.29Min: 96.62 / Avg: 97.29 / Max: 97.72Min: 90.47 / Avg: 92.35 / Max: 94.9Min: 91.9 / Avg: 92.59 / Max: 93.05Min: 106.25 / Avg: 107.01 / Max: 107.66Min: 88.41 / Avg: 89.43 / Max: 89.96Min: 85.65 / Avg: 86.68 / Max: 87.25Min: 96.92 / Avg: 97.95 / Max: 98.781. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

SQLite Speedtest

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.11, N = 3SE +/- 0.27, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.36, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.25, N = 3SE +/- 0.05, N = 3SE +/- 0.54, N = 3SE +/- 0.04, N = 378.2378.0767.3080.0576.1666.5277.1977.9480.1978.2681.5177.7475.9177.611. (CC) gcc options: -O2 -ldl -lz -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021632486480Min: 78.09 / Avg: 78.23 / Max: 78.45Min: 77.69 / Avg: 78.06 / Max: 78.59Min: 67.2 / Avg: 67.3 / Max: 67.4Min: 79.76 / Avg: 80.05 / Max: 80.38Min: 75.89 / Avg: 76.16 / Max: 76.52Min: 66.35 / Avg: 66.52 / Max: 66.7Min: 76.8 / Avg: 77.18 / Max: 77.9Min: 77.74 / Avg: 77.94 / Max: 78.1Min: 80.11 / Avg: 80.19 / Max: 80.3Min: 78.14 / Avg: 78.26 / Max: 78.37Min: 81.25 / Avg: 81.51 / Max: 82.01Min: 77.69 / Avg: 77.74 / Max: 77.85Min: 74.83 / Avg: 75.9 / Max: 76.53Min: 77.55 / Avg: 77.61 / Max: 77.671. (CC) gcc options: -O2 -ldl -lz -lpthread

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.03520.07040.10560.14080.176SE +/- 0.00113052, N = 3SE +/- 0.00097851, N = 3SE +/- 0.00007037, N = 3SE +/- 0.00047942, N = 3SE +/- 0.00010921, N = 3SE +/- 0.00013172, N = 3SE +/- 0.00050264, N = 3SE +/- 0.00009609, N = 3SE +/- 0.00070595, N = 3SE +/- 0.00076232, N = 3SE +/- 0.00101629, N = 3SE +/- 0.00104595, N = 3SE +/- 0.00052181, N = 3SE +/- 0.00022828, N = 30.148682530.149882930.128195450.153417050.148508120.129242850.148592730.149767950.154578900.151249760.156532080.149784890.145735970.14954339
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770212345Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.13 / Avg: 0.13 / Max: 0.13Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.16 / Avg: 0.16 / Max: 0.16Min: 0.15 / Avg: 0.15 / Max: 0.15Min: 0.14 / Avg: 0.15 / Max: 0.15Min: 0.15 / Avg: 0.15 / Max: 0.15

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77020.00020.00040.00060.00080.001SE +/- 0.00000264, N = 3SE +/- 0.00000252, N = 3SE +/- 0.00001015, N = 3SE +/- 0.00000497, N = 3SE +/- 0.00000879, N = 3SE +/- 0.00000483, N = 3SE +/- 0.00000724, N = 3SE +/- 0.00000365, N = 3SE +/- 0.00001257, N = 3SE +/- 0.00000921, N = 3SE +/- 0.00000737, N = 3SE +/- 0.00000413, N = 3SE +/- 0.00000962, N = 3SE +/- 0.00000621, N = 30.000965790.000967530.000835630.000992100.000954850.000825700.000960820.000974550.000980740.000961530.001006080.000954780.000955860.00097084
OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770212345Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0Min: 0 / Avg: 0 / Max: 0

eSpeak-NG Speech Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645SE +/- 0.06, N = 4SE +/- 0.07, N = 4SE +/- 0.07, N = 4SE +/- 0.10, N = 4SE +/- 0.04, N = 4SE +/- 0.08, N = 4SE +/- 0.08, N = 4SE +/- 0.09, N = 4SE +/- 0.08, N = 4SE +/- 0.11, N = 4SE +/- 0.11, N = 4SE +/- 0.12, N = 4SE +/- 0.07, N = 4SE +/- 0.12, N = 436.2836.2430.8437.5535.2730.7535.7336.2037.4036.4037.4036.3635.6935.931. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 36.17 / Avg: 36.28 / Max: 36.45Min: 36.12 / Avg: 36.24 / Max: 36.4Min: 30.64 / Avg: 30.84 / Max: 30.96Min: 37.36 / Avg: 37.55 / Max: 37.83Min: 35.16 / Avg: 35.27 / Max: 35.37Min: 30.52 / Avg: 30.75 / Max: 30.86Min: 35.5 / Avg: 35.73 / Max: 35.85Min: 35.97 / Avg: 36.2 / Max: 36.42Min: 37.26 / Avg: 37.4 / Max: 37.61Min: 36.11 / Avg: 36.4 / Max: 36.59Min: 37.13 / Avg: 37.4 / Max: 37.65Min: 36.06 / Avg: 36.36 / Max: 36.65Min: 35.55 / Avg: 35.69 / Max: 35.87Min: 35.63 / Avg: 35.93 / Max: 36.211. (CC) gcc options: -O2 -std=c99

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

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

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

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

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

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

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

Gcrypt Library

Libgcrypt is a general purpose cryptographic library developed as part of the GnuPG project. This is a benchmark of libgcrypt's integrated benchmark and is measuring the time to run the benchmark command with a cipher/mac/hash repetition count set for 50 times as simple, high level look at the overall crypto performance of the system under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 1.00, N = 3SE +/- 0.48, N = 3SE +/- 0.09, N = 3SE +/- 0.34, N = 3SE +/- 0.52, N = 3SE +/- 0.11, N = 3SE +/- 1.03, N = 3SE +/- 0.81, N = 3SE +/- 0.37, N = 3SE +/- 0.57, N = 3SE +/- 0.64, N = 3SE +/- 0.38, N = 3SE +/- 1.43, N = 3SE +/- 0.70, N = 3265.92264.68223.71274.30257.57223.75262.12265.19273.20264.99273.02268.68262.91261.451. (CC) gcc options: -O2 -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterGcrypt Library 1.9EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 264.29 / Avg: 265.92 / Max: 267.74Min: 263.89 / Avg: 264.68 / Max: 265.54Min: 223.61 / Avg: 223.71 / Max: 223.89Min: 273.81 / Avg: 274.3 / Max: 274.96Min: 256.94 / Avg: 257.57 / Max: 258.61Min: 223.6 / Avg: 223.75 / Max: 223.97Min: 260.44 / Avg: 262.12 / Max: 264Min: 263.73 / Avg: 265.19 / Max: 266.52Min: 272.5 / Avg: 273.19 / Max: 273.74Min: 264.26 / Avg: 264.98 / Max: 266.12Min: 271.81 / Avg: 273.02 / Max: 274.01Min: 267.92 / Avg: 268.68 / Max: 269.11Min: 261.48 / Avg: 262.91 / Max: 265.77Min: 260.68 / Avg: 261.45 / Max: 262.851. (CC) gcc options: -O2 -fvisibility=hidden

GnuPG

This test times how long it takes to encrypt a sample file using GnuPG. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGnuPG 2.2.272.7GB Sample File EncryptionEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.80, N = 3SE +/- 0.48, N = 3SE +/- 0.36, N = 3SE +/- 0.25, N = 3SE +/- 0.30, N = 3SE +/- 0.29, N = 3SE +/- 0.75, N = 3SE +/- 0.88, N = 3SE +/- 0.94, N = 3SE +/- 0.71, N = 3SE +/- 0.53, N = 3SE +/- 0.95, N = 3SE +/- 0.84, N = 3SE +/- 0.76, N = 386.3685.7973.7589.6883.9073.8585.0285.7388.4486.3788.4485.8284.4385.241. (CC) gcc options: -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterGnuPG 2.2.272.7GB Sample File EncryptionEPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 84.87 / Avg: 86.36 / Max: 87.6Min: 85.06 / Avg: 85.79 / Max: 86.69Min: 73.34 / Avg: 73.75 / Max: 74.47Min: 89.26 / Avg: 89.68 / Max: 90.12Min: 83.3 / Avg: 83.9 / Max: 84.23Min: 73.37 / Avg: 73.85 / Max: 74.37Min: 83.6 / Avg: 85.02 / Max: 86.12Min: 84.82 / Avg: 85.73 / Max: 87.48Min: 87.5 / Avg: 88.44 / Max: 90.31Min: 85.07 / Avg: 86.37 / Max: 87.5Min: 87.54 / Avg: 88.44 / Max: 89.39Min: 84.82 / Avg: 85.82 / Max: 87.72Min: 83.56 / Avg: 84.43 / Max: 86.11Min: 83.83 / Avg: 85.24 / Max: 86.451. (CC) gcc options: -O2

XZ Compression

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

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.19, N = 9SE +/- 0.07, N = 3SE +/- 0.12, N = 322.0122.0929.6124.9022.3021.4322.4222.0525.6622.5434.5123.1522.4022.051. (CC) gcc options: -pthread -fvisibility=hidden -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9EPYC 7642EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835Min: 21.89 / Avg: 22.01 / Max: 22.17Min: 22.03 / Avg: 22.09 / Max: 22.22Min: 29.47 / Avg: 29.61 / Max: 29.69Min: 24.75 / Avg: 24.9 / Max: 25.01Min: 22.23 / Avg: 22.3 / Max: 22.43Min: 21.32 / Avg: 21.43 / Max: 21.65Min: 22.33 / Avg: 22.42 / Max: 22.59Min: 22 / Avg: 22.05 / Max: 22.15Min: 25.58 / Avg: 25.66 / Max: 25.79Min: 22.49 / Avg: 22.54 / Max: 22.64Min: 34.46 / Avg: 34.51 / Max: 34.53Min: 22.45 / Avg: 23.15 / Max: 23.78Min: 22.31 / Avg: 22.4 / Max: 22.53Min: 21.86 / Avg: 22.05 / Max: 22.281. (CC) gcc options: -pthread -fvisibility=hidden -O2

Hugin

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021326395265SE +/- 0.36, N = 3SE +/- 0.33, N = 3SE +/- 0.50, N = 3SE +/- 0.30, N = 3SE +/- 0.24, N = 3SE +/- 0.42, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 3SE +/- 0.80, N = 3SE +/- 0.45, N = 3SE +/- 0.41, N = 3SE +/- 0.32, N = 355.5752.9956.1052.9950.5953.7255.9557.2455.4259.3155.7753.3655.68
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021224364860Min: 55.11 / Avg: 55.57 / Max: 56.28Min: 52.38 / Avg: 52.99 / Max: 53.51Min: 55.21 / Avg: 56.1 / Max: 56.93Min: 52.43 / Avg: 52.99 / Max: 53.44Min: 50.13 / Avg: 50.59 / Max: 50.91Min: 52.98 / Avg: 53.72 / Max: 54.43Min: 55.51 / Avg: 55.95 / Max: 56.27Min: 57.12 / Avg: 57.24 / Max: 57.34Min: 54.86 / Avg: 55.42 / Max: 55.71Min: 57.78 / Avg: 59.31 / Max: 60.47Min: 54.93 / Avg: 55.77 / Max: 56.46Min: 52.68 / Avg: 53.36 / Max: 54.09Min: 55.04 / Avg: 55.68 / Max: 56.12

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.01, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.20, N = 319.9427.2024.2318.6619.8619.3818.7926.9018.8633.0223.3920.8718.73
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835Min: 19.92 / Avg: 19.94 / Max: 19.97Min: 26.98 / Avg: 27.2 / Max: 27.33Min: 24.11 / Avg: 24.23 / Max: 24.33Min: 18.45 / Avg: 18.66 / Max: 18.82Min: 19.76 / Avg: 19.86 / Max: 19.94Min: 19.15 / Avg: 19.38 / Max: 19.51Min: 18.7 / Avg: 18.79 / Max: 18.88Min: 26.81 / Avg: 26.9 / Max: 26.96Min: 18.73 / Avg: 18.85 / Max: 18.96Min: 32.94 / Avg: 33.02 / Max: 33.14Min: 23.21 / Avg: 23.39 / Max: 23.54Min: 20.74 / Avg: 20.87 / Max: 21.08Min: 18.39 / Avg: 18.73 / Max: 19.1

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021632486480SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.59, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 354.7762.2461.5452.1353.1552.7455.0462.7654.4972.4758.5153.9356.031. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021428425670Min: 54.71 / Avg: 54.77 / Max: 54.89Min: 62.13 / Avg: 62.24 / Max: 62.4Min: 60.92 / Avg: 61.54 / Max: 62.73Min: 52.04 / Avg: 52.12 / Max: 52.19Min: 52.9 / Avg: 53.15 / Max: 53.28Min: 52.69 / Avg: 52.74 / Max: 52.79Min: 55.03 / Avg: 55.04 / Max: 55.06Min: 62.66 / Avg: 62.76 / Max: 62.82Min: 54.34 / Avg: 54.49 / Max: 54.59Min: 72.44 / Avg: 72.47 / Max: 72.51Min: 58.49 / Avg: 58.51 / Max: 58.52Min: 53.88 / Avg: 53.93 / Max: 54Min: 55.95 / Avg: 56.03 / Max: 56.091. RawTherapee, version 5.8, command line.

Basis Universal

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021428425670SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 355.5953.6558.6453.9349.3454.5754.8260.1054.9864.8357.1855.1454.101. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021326395265Min: 55.5 / Avg: 55.59 / Max: 55.67Min: 53.23 / Avg: 53.65 / Max: 54.01Min: 58.62 / Avg: 58.64 / Max: 58.66Min: 53.83 / Avg: 53.93 / Max: 54.01Min: 49.28 / Avg: 49.34 / Max: 49.38Min: 54.42 / Avg: 54.57 / Max: 54.65Min: 54.77 / Avg: 54.82 / Max: 54.86Min: 60.03 / Avg: 60.1 / Max: 60.17Min: 54.94 / Avg: 54.98 / Max: 55.01Min: 64.68 / Avg: 64.83 / Max: 65.09Min: 57.13 / Avg: 57.18 / Max: 57.25Min: 55.12 / Avg: 55.14 / Max: 55.16Min: 54.02 / Avg: 54.1 / Max: 54.231. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.003, N = 5SE +/- 0.002, N = 6SE +/- 0.007, N = 5SE +/- 0.005, N = 6SE +/- 0.005, N = 6SE +/- 0.002, N = 6SE +/- 0.002, N = 6SE +/- 0.002, N = 5SE +/- 0.003, N = 6SE +/- 0.005, N = 5SE +/- 0.005, N = 5SE +/- 0.009, N = 6SE +/- 0.006, N = 68.3578.0778.9238.0387.4538.1498.1329.1908.1989.7568.6608.2678.0951. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 8.35 / Avg: 8.36 / Max: 8.37Min: 8.07 / Avg: 8.08 / Max: 8.08Min: 8.9 / Avg: 8.92 / Max: 8.94Min: 8.02 / Avg: 8.04 / Max: 8.05Min: 7.44 / Avg: 7.45 / Max: 7.48Min: 8.14 / Avg: 8.15 / Max: 8.16Min: 8.13 / Avg: 8.13 / Max: 8.14Min: 9.18 / Avg: 9.19 / Max: 9.19Min: 8.19 / Avg: 8.2 / Max: 8.21Min: 9.74 / Avg: 9.76 / Max: 9.77Min: 8.65 / Avg: 8.66 / Max: 8.67Min: 8.24 / Avg: 8.27 / Max: 8.3Min: 8.06 / Avg: 8.09 / Max: 8.111. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702918273645SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 3SE +/- 0.02, N = 4SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 416.7032.6324.2415.6419.8616.3113.2129.2414.2439.6723.3418.1713.301. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240Min: 16.69 / Avg: 16.7 / Max: 16.71Min: 32.63 / Avg: 32.63 / Max: 32.64Min: 24.19 / Avg: 24.24 / Max: 24.27Min: 15.63 / Avg: 15.64 / Max: 15.64Min: 19.86 / Avg: 19.86 / Max: 19.87Min: 16.28 / Avg: 16.31 / Max: 16.38Min: 13.2 / Avg: 13.21 / Max: 13.22Min: 29.23 / Avg: 29.24 / Max: 29.27Min: 14.23 / Avg: 14.24 / Max: 14.25Min: 39.66 / Avg: 39.67 / Max: 39.67Min: 23.32 / Avg: 23.34 / Max: 23.38Min: 18.16 / Avg: 18.17 / Max: 18.17Min: 13.28 / Avg: 13.3 / Max: 13.331. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021632486480SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 325.8860.4041.2423.9733.8025.2818.6651.7720.8073.4339.7529.1618.871. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77021428425670Min: 25.87 / Avg: 25.88 / Max: 25.91Min: 60.39 / Avg: 60.4 / Max: 60.41Min: 41.2 / Avg: 41.24 / Max: 41.3Min: 23.96 / Avg: 23.97 / Max: 23.98Min: 33.79 / Avg: 33.8 / Max: 33.81Min: 25.27 / Avg: 25.28 / Max: 25.31Min: 18.65 / Avg: 18.66 / Max: 18.66Min: 51.75 / Avg: 51.77 / Max: 51.78Min: 20.77 / Avg: 20.8 / Max: 20.82Min: 73.43 / Avg: 73.43 / Max: 73.44Min: 39.75 / Avg: 39.75 / Max: 39.76Min: 29.15 / Avg: 29.16 / Max: 29.17Min: 18.86 / Avg: 18.87 / Max: 18.881. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

ASTC Encoder

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

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702246810SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 6SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.01, N = 7SE +/- 0.00, N = 7SE +/- 0.01, N = 6SE +/- 0.01, N = 7SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.00, N = 7SE +/- 0.01, N = 76.056.286.685.835.515.935.836.975.897.656.476.065.761. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 6.01 / Avg: 6.05 / Max: 6.07Min: 6.24 / Avg: 6.28 / Max: 6.31Min: 6.66 / Avg: 6.68 / Max: 6.69Min: 5.81 / Avg: 5.83 / Max: 5.86Min: 5.49 / Avg: 5.51 / Max: 5.54Min: 5.92 / Avg: 5.93 / Max: 5.96Min: 5.82 / Avg: 5.83 / Max: 5.84Min: 6.93 / Avg: 6.97 / Max: 7.01Min: 5.87 / Avg: 5.89 / Max: 5.91Min: 7.6 / Avg: 7.65 / Max: 7.69Min: 6.45 / Avg: 6.47 / Max: 6.5Min: 6.04 / Avg: 6.06 / Max: 6.07Min: 5.75 / Avg: 5.76 / Max: 5.81. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215SE +/- 0.01, N = 6SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.00, N = 5SE +/- 0.01, N = 6SE +/- 0.00, N = 5SE +/- 0.01, N = 6SE +/- 0.01, N = 6SE +/- 0.01, N = 67.339.048.637.027.107.176.789.386.935.828.307.476.681. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 77023691215Min: 7.31 / Avg: 7.33 / Max: 7.35Min: 9.02 / Avg: 9.04 / Max: 9.06Min: 8.59 / Avg: 8.63 / Max: 8.68Min: 7.01 / Avg: 7.02 / Max: 7.04Min: 7.07 / Avg: 7.1 / Max: 7.13Min: 7.15 / Avg: 7.17 / Max: 7.18Min: 6.76 / Avg: 6.78 / Max: 6.8Min: 9.37 / Avg: 9.38 / Max: 9.39Min: 6.89 / Avg: 6.93 / Max: 6.96Min: 5.81 / Avg: 5.82 / Max: 5.83Min: 8.25 / Avg: 8.3 / Max: 8.34Min: 7.43 / Avg: 7.47 / Max: 7.49Min: 6.64 / Avg: 6.68 / Max: 6.711. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702816243240SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 3SE +/- 0.00, N = 4SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 49.9927.1617.739.0814.029.736.3822.407.4233.1516.6811.716.351. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702714212835Min: 9.99 / Avg: 9.99 / Max: 9.99Min: 27.15 / Avg: 27.16 / Max: 27.17Min: 17.72 / Avg: 17.73 / Max: 17.74Min: 9.08 / Avg: 9.08 / Max: 9.08Min: 14 / Avg: 14.02 / Max: 14.03Min: 9.73 / Avg: 9.73 / Max: 9.74Min: 6.36 / Avg: 6.38 / Max: 6.4Min: 22.39 / Avg: 22.4 / Max: 22.42Min: 7.41 / Avg: 7.42 / Max: 7.42Min: 33.13 / Avg: 33.15 / Max: 33.18Min: 16.67 / Avg: 16.68 / Max: 16.69Min: 11.71 / Avg: 11.71 / Max: 11.72Min: 6.35 / Avg: 6.35 / Max: 6.361. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 375.27214.44137.7867.95109.1773.3845.84176.0454.34262.14129.2689.0745.801. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770250100150200250Min: 75.26 / Avg: 75.27 / Max: 75.27Min: 214.41 / Avg: 214.44 / Max: 214.47Min: 137.74 / Avg: 137.78 / Max: 137.82Min: 67.93 / Avg: 67.95 / Max: 67.96Min: 108.86 / Avg: 109.17 / Max: 109.35Min: 73.37 / Avg: 73.38 / Max: 73.4Min: 45.83 / Avg: 45.84 / Max: 45.85Min: 176.03 / Avg: 176.04 / Max: 176.05Min: 54.32 / Avg: 54.34 / Max: 54.35Min: 262.01 / Avg: 262.14 / Max: 262.39Min: 129.21 / Avg: 129.26 / Max: 129.36Min: 89.06 / Avg: 89.07 / Max: 89.08Min: 45.79 / Avg: 45.8 / Max: 45.821. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 324.0920.0324.4623.3520.4823.6524.7324.0924.5325.0223.7823.6624.341. rsvg-convert version 2.48.9
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 7702612182430Min: 24 / Avg: 24.09 / Max: 24.2Min: 19.96 / Avg: 20.03 / Max: 20.1Min: 24.41 / Avg: 24.46 / Max: 24.53Min: 23.26 / Avg: 23.35 / Max: 23.49Min: 20.42 / Avg: 20.48 / Max: 20.58Min: 23.57 / Avg: 23.65 / Max: 23.77Min: 24.63 / Avg: 24.73 / Max: 24.84Min: 23.94 / Avg: 24.09 / Max: 24.24Min: 24.43 / Avg: 24.53 / Max: 24.6Min: 24.97 / Avg: 25.02 / Max: 25.1Min: 23.65 / Avg: 23.78 / Max: 23.89Min: 23.49 / Avg: 23.66 / Max: 23.78Min: 24.29 / Avg: 24.34 / Max: 24.41. rsvg-convert version 2.48.9

N-Queens

This is a test of the OpenMP version of a test that solves the N-queens problem. The board problem size is 18. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620SE +/- 0.001, N = 8SE +/- 0.000, N = 4SE +/- 0.004, N = 5SE +/- 0.000, N = 8SE +/- 0.000, N = 6SE +/- 0.001, N = 8SE +/- 0.001, N = 10SE +/- 0.000, N = 4SE +/- 0.001, N = 9SE +/- 0.001, N = 3SE +/- 0.000, N = 5SE +/- 0.001, N = 7SE +/- 0.001, N = 104.71014.2988.7854.2737.1524.5992.78711.6183.35217.4218.4495.6452.8021. (CC) gcc options: -static -fopenmp -O3 -march=native
OpenBenchmarking.orgSeconds, Fewer Is BetterN-Queens 1.0Elapsed TimeEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770248121620Min: 4.71 / Avg: 4.71 / Max: 4.71Min: 14.3 / Avg: 14.3 / Max: 14.3Min: 8.78 / Avg: 8.79 / Max: 8.8Min: 4.27 / Avg: 4.27 / Max: 4.27Min: 7.15 / Avg: 7.15 / Max: 7.15Min: 4.6 / Avg: 4.6 / Max: 4.6Min: 2.78 / Avg: 2.79 / Max: 2.79Min: 11.62 / Avg: 11.62 / Max: 11.62Min: 3.35 / Avg: 3.35 / Max: 3.36Min: 17.42 / Avg: 17.42 / Max: 17.42Min: 8.45 / Avg: 8.45 / Max: 8.45Min: 5.64 / Avg: 5.65 / Max: 5.65Min: 2.8 / Avg: 2.8 / Max: 2.811. (CC) gcc options: -static -fopenmp -O3 -march=native

m-queens

A solver for the N-queens problem with multi-threading support via the OpenMP library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 4SE +/- 0.02, N = 3SE +/- 0.06, N = 4SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 423.0571.5843.7421.3735.9222.6313.7558.2216.6187.1942.3828.1913.841. (CXX) g++ options: -fopenmp -O2 -march=native
OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770220406080100Min: 23.01 / Avg: 23.05 / Max: 23.09Min: 71.55 / Avg: 71.58 / Max: 71.6Min: 43.69 / Avg: 43.74 / Max: 43.81Min: 21.31 / Avg: 21.37 / Max: 21.46Min: 35.9 / Avg: 35.92 / Max: 35.93Min: 22.57 / Avg: 22.63 / Max: 22.73Min: 13.72 / Avg: 13.75 / Max: 13.84Min: 58.19 / Avg: 58.22 / Max: 58.26Min: 16.48 / Avg: 16.61 / Max: 16.78Min: 87.19 / Avg: 87.19 / Max: 87.2Min: 42.35 / Avg: 42.38 / Max: 42.41Min: 28.07 / Avg: 28.19 / Max: 28.33Min: 13.77 / Avg: 13.84 / Max: 13.891. (CXX) g++ options: -fopenmp -O2 -march=native

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770270140210280350SE +/- 0.79, N = 3SE +/- 0.79, N = 3SE +/- 0.25, N = 3SE +/- 0.63, N = 3SE +/- 0.12, N = 3SE +/- 1.08, N = 3SE +/- 1.82, N = 3SE +/- 0.55, N = 3SE +/- 0.75, N = 3SE +/- 0.07, N = 3SE +/- 0.22, N = 3SE +/- 1.52, N = 3SE +/- 1.60, N = 3305.06302.70296.16291.08299.33292.42302.42305.22302.11326.23308.49297.53307.85
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestEPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 7302PEPYC 7402PEPYC 770260120180240300Min: 303.92 / Avg: 305.06 / Max: 306.58Min: 301.87 / Avg: 302.7 / Max: 304.28Min: 295.71 / Avg: 296.16 / Max: 296.59Min: 290.32 / Avg: 291.08 / Max: 292.34Min: 299.09 / Avg: 299.33 / Max: 299.49Min: 291.12 / Avg: 292.42 / Max: 294.56Min: 299.36 / Avg: 302.42 / Max: 305.67Min: 304.14 / Avg: 305.22 / Max: 305.91Min: 301.02 / Avg: 302.11 / Max: 303.55Min: 326.14 / Avg: 326.23 / Max: 326.37Min: 308.17 / Avg: 308.49 / Max: 308.9Min: 295.48 / Avg: 297.53 / Max: 300.5Min: 305.74 / Avg: 307.85 / Max: 310.98

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 7532EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7302PEPYC 7402PEPYC 77022K4K6K8K10K3653.67056.03653.95684.63678.82220.78844.12716.76676.44709.52247.01. (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

Ngspice

Ngspice is an open-source SPICE circuit simulator. Ngspice was originally based on the Berkeley SPICE electronic circuit simulator. Ngspice supports basic threading using OpenMP. This test profile is making use of the ISCAS 85 benchmark circuits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 770250100150200250SE +/- 1.85, N = 3SE +/- 1.05, N = 3SE +/- 1.23, N = 3SE +/- 1.90, N = 3SE +/- 2.33, N = 9SE +/- 1.93, N = 5SE +/- 1.33, N = 3SE +/- 1.59, N = 3SE +/- 1.89, N = 3SE +/- 2.54, N = 3SE +/- 1.88, N = 4175.85158.79183.22165.66151.46173.90172.37174.20170.22211.49177.621. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C2670EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 77024080120160200Min: 172.42 / Avg: 175.85 / Max: 178.76Min: 157.45 / Avg: 158.79 / Max: 160.86Min: 181.83 / Avg: 183.22 / Max: 185.67Min: 162.62 / Avg: 165.66 / Max: 169.15Min: 142 / Avg: 151.46 / Max: 162.3Min: 168.11 / Avg: 173.89 / Max: 179.12Min: 170.3 / Avg: 172.37 / Max: 174.84Min: 171.02 / Avg: 174.2 / Max: 175.94Min: 168.07 / Avg: 170.22 / Max: 173.98Min: 206.5 / Avg: 211.49 / Max: 214.78Min: 172.48 / Avg: 177.62 / Max: 181.391. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE

OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 770250100150200250SE +/- 1.09, N = 12SE +/- 1.27, N = 12SE +/- 1.05, N = 3SE +/- 1.31, N = 12SE +/- 2.04, N = 12SE +/- 1.66, N = 3SE +/- 1.10, N = 3SE +/- 1.75, N = 3SE +/- 1.35, N = 3SE +/- 2.36, N = 3SE +/- 1.19, N = 3132.04119.44135.68130.09122.44128.92136.87137.59131.53212.89132.621. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE
OpenBenchmarking.orgSeconds, Fewer Is BetterNgspice 34Circuit: C7552EPYC 7532EPYC 7F32EPYC 7282EPYC 7542EPYC 7F52EPYC 7502PEPYC 7662EPYC 7272EPYC 7552EPYC 7232PEPYC 77024080120160200Min: 125.23 / Avg: 132.04 / Max: 137.09Min: 112.44 / Avg: 119.44 / Max: 126.77Min: 133.59 / Avg: 135.68 / Max: 136.92Min: 122.93 / Avg: 130.09 / Max: 137.37Min: 113.19 / Avg: 122.44 / Max: 133.84Min: 126.46 / Avg: 128.92 / Max: 132.08Min: 134.99 / Avg: 136.87 / Max: 138.8Min: 134.17 / Avg: 137.59 / Max: 139.97Min: 128.85 / Avg: 131.53 / Max: 133.13Min: 209.86 / Avg: 212.89 / Max: 217.53Min: 130.9 / Avg: 132.62 / Max: 134.891. (CC) gcc options: -O0 -fopenmp -lm -lstdc++ -lfftw3 -lXaw -lXmu -lXt -lXext -lX11 -lSM -lICE

477 Results Shown

Stress-NG:
  CPU Stress
  Crypto
  Vector Math
  Matrix Math
  Socket Activity
  Context Switching
  CPU Cache
miniFE
miniFE
Sysbench:
  CPU
  Memory
Algebraic Multi-Grid Benchmark
Algebraic Multi-Grid Benchmark
BlogBench:
  Read
  Write
BlogBench:
  Read
  Write
OSPray:
  XFrog Forest - SciVis
  XFrog Forest - Path Tracer
  NASA Streamlines - SciVis
  NASA Streamlines - Path Tracer
  San Miguel - SciVis
  San Miguel - Path Tracer
OSPray:
  Magnetic Reconnection - SciVis
  XFrog Forest - SciVis
  XFrog Forest - Path Tracer
PlaidML:
  No - Inference - ResNet 50 - CPU
  Summer Nature 1080p
OSPray
PlaidML
OSPray
TTSIOD 3D Renderer:
  Phong Rendering With Soft-Shadow Mapping
  Summer Nature 4K
  Chimera 1080p
  Chimera 1080p 10-bit
OSPray:
  NASA Streamlines - Path Tracer
  San Miguel - Path Tracer
TTSIOD 3D Renderer
OpenVINO:
  Face Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP32 - CPU
  Person Detection 0106 FP16 - CPU
  Person Detection 0106 FP32 - CPU
PlaidML:
  No - Inference - ResNet 50 - CPU
  No - Inference - VGG16 - CPU
  No - Inference - VGG19 - CPU
dav1d:
  Summer Nature 1080p
  Summer Nature 4K
  Chimera 1080p
  Chimera 1080p 10-bit
AOM AV1:
  Speed 8 Realtime
  Speed 6 Realtime
  Speed 6 Two-Pass
  Speed 4 Two-Pass
Kvazaar:
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
rav1e:
  10
  6
  5
Kvazaar
SVT-AV1:
  Enc Mode 8 - 1080p
  Enc Mode 4 - 1080p
SVT-VP9:
  Visual Quality Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
x264
x265
simdjson:
  PartialTweets
  LargeRand
simdjson:
  PartialTweets
  LargeRand
  Kostya
  DistinctUserID
ACES DGEMM:
  Sustained Floating-Point Rate
 
ACES DGEMM
High Performance Conjugate Gradient
Intel Open Image Denoise
ONNX Runtime:
  yolov4 - OpenMP CPU
  fcn-resnet101-11 - OpenMP CPU
  shufflenet-v2-10 - OpenMP CPU
  super-resolution-10 - OpenMP CPU
  bertsquad-10 - OpenMP CPU
OpenVKL
OpenVKL
ASKAP
Coremark
Aircrack-ng
Aircrack-ng
Cpuminer-Opt
Cpuminer-Opt:
  x25x
  Garlicoin
  Deepcoin
  Skeincoin
Chaos Group V-RAY
IndigoBench
IndigoBench
IndigoBench
LuxCoreRender:
  DLSC
  Rainbow Colors and Prism
C-Blosc
Zstd Compression
Stream
Zstd Compression
LZ4 Compression:
  1 - Compression Speed
  1 - Decompression Speed
  3 - Compression Speed
  3 - Decompression Speed
  9 - Compression Speed
Tinymembench
LZ4 Compression
Stream:
  Copy
  Scale
  Add
  Triad
Tinymembench
Stream-Dynamic:
  - Scale
  - Copy
Stream-Dynamic
Tinymembench
Stream-Dynamic:
  - Add
  - Triad
libjpeg-turbo tjbench
FFTE
FFTW:
  Float + SSE - 1D FFT Size 4096
  Float + SSE - 2D FFT Size 2048
  Float + SSE - 2D FFT Size 4096
Himeno Benchmark
QuantLib
Botan:
  Blowfish
  KASUMI
Botan
Botan:
  AES-256
  Twofish
MBW
Botan
Botan
MBW
Crypto++:
  Unkeyed Algorithms
  Keyed Algorithms
  Integer + Elliptic Curve Public Key Algorithms
Crypto++:
  Unkeyed Algorithms
  Keyed Algorithms
  Integer + Elliptic Curve Public Key Algorithms
ASKAP
ASKAP:
  tConvolve OpenMP - Gridding
  tConvolve OpenMP - Degridding
7-Zip Compression
JPEG XL:
  PNG - 5
  PNG - 7
  PNG - 8
JPEG XL:
  JPEG - 5
  JPEG - 7
  JPEG - 8
  1
  All
JPEG XL:
  JPEG - 5
  JPEG - 7
  JPEG - 8
JPEG XL Decoding:
  1
  All
ASKAP:
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
LibRaw
LibRaw
Etcpak:
  ETC1
  ETC1 + Dithering
  ETC2
  DXT1
Etcpak:
  ETC1
  ETC1 + Dithering
  ETC2
  DXT1
rays1bench
LeelaChessZero:
  BLAS
  Eigen
  Elapsed Time
LeelaChessZero:
  BLAS
  Eigen
Crafty
Stockfish
TSCP
TSCP
asmFish
asmFish
GROMACS
GROMACS
GROMACS
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
Apache Cassandra:
  Writes
  Seq Fill
  Rand Fill
  Rand Fill Sync
Apache Cassandra
Facebook RocksDB:
  Seq Fill
  Rand Fill
  Rand Fill Sync
  Rand Read
Facebook RocksDB
Facebook RocksDB
Swet
Swet
KeyDB
KeyDB
Hierarchical INTegration
Hierarchical INTegration
John The Ripper:
  MD5
  Blowfish
John The Ripper:
  MD5
  Blowfish
ebizzy
Redis:
  SET
  GET
  LPUSH
  SADD
Numpy Benchmark:
 
  Device AI Score
Numpy Benchmark
PHPBench
AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
PHPBench
Darmstadt Automotive Parallel Heterogeneous Suite
Darmstadt Automotive Parallel Heterogeneous Suite:
  OpenMP - Euclidean Cluster
  OpenMP - NDT Mapping
Darmstadt Automotive Parallel Heterogeneous Suite
Darmstadt Automotive Parallel Heterogeneous Suite
Kripke
Kripke
NAS Parallel Benchmarks
NAS Parallel Benchmarks:
  BT.C
  EP.C
  LU.C
  SP.B
  IS.D
  MG.C
NAS Parallel Benchmarks:
  EP.D
  FT.C
NAS Parallel Benchmarks:
  EP.D
  CG.C
  FT.C
PostgreSQL pgbench:
  100 - 100 - Read Write
  100 - 100 - Read Only
  100 - 250 - Read Write
  100 - 250 - Read Only
InfluxDB:
  4 - 10000 - 2,5000,1 - 10000
  64 - 10000 - 2,5000,1 - 10000
BRL-CAD
Google SynthMark
Google SynthMark
Chaos Group V-RAY
LULESH
ctx_clock
NAMD
WebP Image Encode:
  Quality 100
  Quality 100, Highest Compression
  Quality 100, Lossless
  Quality 100, Lossless, Highest Compression
Pennant:
  leblancbig
  sedovbig
TensorFlow Lite:
  Mobilenet Float
  Mobilenet Quant
  NASNet Mobile
  SqueezeNet
  Inception ResNet V2
  Inception V4
Caffe:
  AlexNet - CPU - 200
  GoogleNet - CPU - 200
PyBench
PyPerformance:
  crypto_pyaes
  django_template
  float
  nbody
  pathlib
  python_startup
  regex_compile
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU - vgg16
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
oneDNN:
  Convolution Batch Shapes Auto - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  IP Shapes 1D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
OpenVINO:
  Face Detection 0106 FP16 - CPU
  Face Detection 0106 FP32 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP32 - CPU
  Person Detection 0106 FP16 - CPU
  Person Detection 0106 FP32 - CPU
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
PostgreSQL pgbench:
  100 - 100 - Read Write - Average Latency
  100 - 100 - Read Only - Average Latency
  100 - 250 - Read Write - Average Latency
  100 - 250 - Read Only - Average Latency
Renaissance:
  Akka Unbalanced Cobwebbed Tree
  Rand Forest
  Apache Spark PageRank
  In-Memory Database Shootout
  Scala Dotty
  Twitter HTTP Requests
  Genetic Algorithm Using Jenetics + Futures
FinanceBench:
  Bonds OpenMP
  Repo OpenMP
NCNN:
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - resnet18
  CPU-v2-v2-v2 - mobilenet
  CPU-v2-v2-v2-v2-v2 - mobilenet-v2
  CPU-v2-v2-v2-v3-v3 - mobilenet-v3
  CPU-v2-v2-v2 - shufflenet-v2
  CPU-v2-v2-v2 - mnasnet
  CPU-v2-v2-v2 - efficientnet-b0
  CPU-v2-v2-v2 - blazeface
  CPU-v2-v2-v2 - googlenet
  CPU-v2-v2-v2 - vgg16
  CPU-v2-v2-v2 - resnet18
  CPU-v2-v2-v2 - alexnet
  CPU-v2-v2-v2 - resnet50
  CPU-v2-v2-v2 - yolov4-tiny
  CPU-v2-v2-v2 - squeezenet_ssd
  CPU-v2-v2-v2 - regnety_400m
  CPU-v3-v3-v3 - mobilenet
  CPU-v3-v3-v3-v2-v2 - mobilenet-v2
  CPU-v3-v3-v3-v3-v3 - mobilenet-v3
  CPU-v3-v3-v3 - shufflenet-v2
  CPU-v3-v3-v3 - mnasnet
  CPU-v3-v3-v3 - efficientnet-b0
  CPU-v3-v3-v3 - blazeface
  CPU-v3-v3-v3 - googlenet
  CPU-v3-v3-v3 - vgg16
  CPU-v3-v3-v3 - resnet18
  CPU-v3-v3-v3 - alexnet
  CPU-v3-v3-v3 - resnet50
  CPU-v3-v3-v3 - yolov4-tiny
  CPU-v3-v3-v3 - squeezenet_ssd
  CPU-v3-v3-v3 - regnety_400m
toyBrot Fractal Generator:
  TBB
  OpenMP
  C++ Tasks
  C++ Threads
DaCapo Benchmark:
  H2
  Jython
  Tradebeans
  Tradesoap
C-Ray
Tachyon
POV-Ray
YafaRay
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
Tungsten Renderer:
  Hair
  Water Caustic
  Non-Exponential
  Volumetric Caustic
Appleseed:
  Emily
  Disney Material
  Material Tester
Radiance Benchmark:
  Serial
  SMP Parallel
AOBench
Timed Apache Compilation
Timed PHP Compilation
Timed Eigen Compilation
Timed Linux Kernel Compilation
Timed ImageMagick Compilation
Timed GDB GNU Debugger Compilation
Timed LLVM Compilation
Timed FFmpeg Compilation
Timed MPlayer Compilation
Build2
Timed Godot Game Engine Compilation
CloverLeaf
Dolfyn
ECP-CANDLE:
  P1B2
  P3B1
  P3B2
GPAW
Incompact3D
Minion:
  Graceful
  Quasigroup
  Solitaire
Monte Carlo Simulations of Ionised Nebulae
Montage Astronomical Image Mosaic Engine
Nebular Empirical Analysis Tool
OpenFOAM:
  Motorbike 30M
  Motorbike 60M
Parboil:
  OpenMP CUTCP
  OpenMP MRI Gridding
  OpenMP Stencil
  OpenMP LBM
Quantum ESPRESSO
Rodinia:
  OpenMP CFD Solver
  OpenMP LavaMD
  OpenMP Leukocyte
  OpenMP Streamcluster
  OpenMP HotSpot3D
Timed HMMer Search
Timed MAFFT Alignment
Timed MrBayes Analysis
DeepSpeech
Numenta Anomaly Benchmark:
  Bayesian Changepoint
  Windowed Gaussian
  Relative Entropy
  Earthgecko Skyline
Scikit-Learn
WebP2 Image Encode:
  Quality 75, Compression Effort 7
  Quality 95, Compression Effort 7
  Quality 100, Compression Effort 5
  Quality 100, Lossless Compression
Apache CouchDB
SQLite Speedtest
Perl Benchmarks:
  Pod2html
  Interpreter
eSpeak-NG Speech Engine
Polyhedron Fortran Benchmarks:
  aermod
  fatigue2
  linpk
  protein
  rnflow
  tfft2
Gcrypt Library
GnuPG
XZ Compression
Hugin
OCRMyPDF
RawTherapee
Basis Universal:
  ETC1S
  UASTC Level 0
  UASTC Level 2
  UASTC Level 3
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
librsvg
N-Queens
m-queens
WireGuard + Linux Networking Stack Stress Test
NWChem
Ngspice:
  C2670
  C7552