Ubuntu 22.04 Server Benchmarks

AMD EPYC 7713 64-Core testing with a AMD DAYTONA_X (RYM1009B BIOS) and ASPEED on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2209132-NE-UBUNTU22004
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Audio Encoding 2 Tests
AV1 3 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 5 Tests
C++ Boost Tests 5 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 12 Tests
C/C++ Compiler Tests 22 Tests
Compression Tests 3 Tests
CPU Massive 45 Tests
Creator Workloads 33 Tests
Cryptography 5 Tests
Database Test Suite 8 Tests
Encoding 9 Tests
Fortran Tests 7 Tests
Game Development 7 Tests
Go Language Tests 3 Tests
HPC - High Performance Computing 29 Tests
Imaging 7 Tests
Java 2 Tests
Common Kernel Benchmarks 5 Tests
LAPACK (Linear Algebra Pack) Tests 3 Tests
Linear Algebra 2 Tests
Machine Learning 7 Tests
Molecular Dynamics 9 Tests
MPI Benchmarks 8 Tests
Multi-Core 51 Tests
Node.js + NPM Tests 2 Tests
NVIDIA GPU Compute 5 Tests
Intel oneAPI 5 Tests
OpenMPI Tests 18 Tests
Programmer / Developer System Benchmarks 19 Tests
Python 5 Tests
Quantum Mechanics 2 Tests
Raytracing 2 Tests
Renderers 6 Tests
Scientific Computing 15 Tests
Software Defined Radio 3 Tests
Server 16 Tests
Server CPU Tests 30 Tests
Single-Threaded 9 Tests
Telephony 2 Tests
Texture Compression 4 Tests
Video Encoding 7 Tests
Common Workstation Benchmarks 5 Tests

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EPYC 7713 2P
September 08 2022
  1 Day, 15 Hours, 49 Minutes
EPYC 7713
September 11 2022
  1 Day, 16 Hours, 26 Minutes
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  1 Day, 16 Hours, 7 Minutes
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Ubuntu 22.04 Server BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerVulkanCompilerFile-SystemScreen ResolutionEPYC 7713 2PEPYC 77132 x AMD EPYC 7713 64-Core @ 2.00GHz (128 Cores / 256 Threads)AMD DAYTONA_X (RYM1009B BIOS)AMD Starship/Matisse512GB3841GB Micron_9300_MTFDHAL3T8TDPASPEEDVE2282 x Mellanox MT27710Ubuntu 22.045.15.0-47-generic (x86_64)GNOME Shell 42.4X Server 1.21.1.31.2.204GCC 11.2.0ext41920x1080AMD EPYC 7713 64-Core @ 2.00GHz (64 Cores / 128 Threads)256GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xa001173Java Details- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Details- Python 3.10.4Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

EPYC 7713 2P vs. EPYC 7713 ComparisonPhoronix Test SuiteBaseline+99.2%+99.2%+198.4%+198.4%+297.6%+297.6%+396.8%+396.8%396.9%366.9%347.8%343.4%342.1%339.8%339.3%310%215.8%155.9%152%150.4%138.9%131%124.3%120.9%119.7%116.7%116.7%113.2%112.8%110%107.7%106.3%100%99.1%92.6%92.1%92.1%91.6%91.5%91.1%91.1%89.4%88.7%88.1%85.6%76.4%75.4%69.3%62.9%62%61.1%56.8%53.1%45.8%45.1%37.6%31.5%30.8%30.5%29.9%28.8%28.4%26.4%26%24.4%24.3%23.8%22.5%21.9%19.4%19.2%18.9%18.8%17.7%17.6%14.4%14.3%14.3%13.9%12%9.1%9%9%8.2%8%7.7%7.3%6.7%6.6%6.4%6%4.8%4.6%3.8%3.8%3.8%3.8%3.4%3.4%3.2%3%2.9%2.9%2.9%2.7%2.6%2.6%2.5%2.5%2.5%2.3%2.2%2.2%2.1%2.1%2%50 - 1:550 - 1:1V.P.M364.5%50 - 5:1100 - 250 - Read Write - Average Latency100 - 250 - Read Write100 - 500 - Read Write - Average Latency100 - 500 - Read Write2048SpaceshipR.N.N.T - f32 - CPUR.N.N.T - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUM.M.B.S.T - u8s8f32 - CPUR.N.N.I - bf16bf16bf16 - CPUd.S.M.S - Execution Time125%SP.C124.4%R.N.N.I - f32 - CPUMaterial TesterR.N.N.I - u8s8f32 - CPURANGE - 500 - 100 - Average LatencyPUT - 500 - 100 - Average LatencyRANGE - 500 - 100RANGE - 100 - 100d.L.M.S - Execution Time112.3%PUT - 500 - 100RANGE - 100 - 100 - Average LatencyPUT - 100 - 100X.b.i.i102.8%sedovbig101.3%CoreMark Size 666 - I.P.S100.7%PUT - 100 - 100 - Average LatencytConvolve MPI - Gridding99.3%A.G.R.R.0.F.I - CPURand Read98.4%RSA409698.3%RSA409698.3%CPU98.1%SHA25697.7%Exhaustive97.5%tConvolve MPI - Degridding96.2%F.D.F - CPU96.1%conus 2.5km96%EP.D95.1%14 digit94.8%94.2%Basic - CPU93.6%256 - 256 - 5793.4%5001e1392.4%FT.C92.4%P.D.F - CPU92.2%RANGE - 500 - 1000P.D.F - CPU92.1%PUT - 500 - 1000Thorough92%Time To Solve91.9%PUT - 500 - 1000 - Average LatencyRANGE - 500 - 1000 - Average LatencyLU.C91.2%V.D.F - CPU91.1%PUT - 100 - 1000 - Average LatencyPUT - 100 - 10001 - 4K - 32 - Path Tracer90.4%90%3 - 4K - 32 - Path Tracer89.5%RANGE - 100 - 10002 - 4K - 32 - Path Tracer89.4%CG.C89.3%EP.C89.2%88.8%RANGE - 100 - 1000 - Average LatencyClassroom - CPU-Only88.7%P.V.B.D.F - CPU87.9%128 - 256 - 5787.9%M.T.E.T.D.F - CPU87.5%Total Time87.1%F.D.F.I - CPU86.4%V.D.F.I - CPU85.7%1000W.P.D.F.I - CPU85.2%W.P.D.F - CPU84.9%BT.C84.2%83.9%1.H.M.2.D79.3%D.R78.8%Pabellon Barcelona - CPU-Only78.7%1 - 4K - 1 - Path Tracer78.6%1 - 4K - 16 - Path Tracer78.6%3 - 4K - 16 - Path Tracer77.8%3 - 4K - 1 - Path Tracer77.5%Monero - 1M77.4%IS.D77.1%BMW27 - CPU-Only77%40962 - 4K - 16 - Path Tracer76.1%MG.C75.7%ArcFace ResNet-100 - CPU - Standard2 - 4K - 1 - Path Tracer75.3%Fishy Cat - CPU-Only74.6%Barbershop - CPU-Only74.5%Pathtracer ISPC - Crown74.4%OpenMP LavaMD74.1%Pathtracer - Crown72.9%leblancbig72.4%ATPase Simulation - 327,506 Atoms70.2%allmodconfig69.9%Q.1.C.E.5Carbon Nanotube63.4%H.C.OL.E.HRT.hdr_alb_nrm.3840x216061.4%A.G.R.R.0.F - CPUMedium60.9%RT.ldr_alb_nrm.3840x216060.3%MPI CPU - water_GMX50_bare60.1%Read While Writing58.6%SP.B58.6%F.H.RS.F.P.R53.6%100 - 250 - Read Only - Average Latency53.2%Savina Reactors.IO100 - 250 - Read Only52.8%Sharpen52.4%1 - Bosphorus 4K52.2%Ninja51.9%Orange Juice - CPU49%Bosphorus 4K - Very Fast47.8%100 - 500 - Read Only - Average Latency47.2%Compression Rating47.2%DLSC - CPU46.8%100 - 500 - Read Only46.8%C.B.S.A - f32 - CPU45.9%GET - 1000super-resolution-10 - CPU - StandardTime To Compile44.5%Enhanced42.8%Trace Time40.7%RAM / Memorydefconfig36.3%UASTC Level 334.9%3 - D.SALS Movie Lens9 - D.SA.S.PQ.9.C.E.729.2%1000Allfcn-resnet101-11 - CPU - Standard28.1%Time To Compile27.2%yolov4 - CPU - Standard500R.C.a.P - CPUBosphorus 4KS.C.c.j64 - 256 - 5723.8%I.M.D.SUnix Makefiles22.3%A.G.R.R.0.F - CPU22.2%R.R.W.RDisney Material21.4%UASTC Level 221%Danish Mood - CPU21%2620.6%WritesHWB Color SpaceGPT-2 - CPU - Standard2618.8%19, Long Mode - Compression SpeedPathtracer ISPC - Asian Dragon18.2%Speed 9 Realtime - Bosphorus 4KUpdate RandA.G.R.R.0.F.I - CPU16.2%Wownero - 1M15.1%Q.7.C.E.714.6%d.L.M.S - Mesh Time14.5%Speed 5 - Bosphorus 4K10 - Bosphorus 4KBLAS14.3%TradebeansC240 Buckyball14.1%EmilyTime To Compile13.9%Eigen13.8%Small12.8%Speed 10 Realtime - Bosphorus 4Kd.S.M.S - Mesh Time11.9%LuxCore Benchmark - CPU11.5%Time To Compile11%Time To Compile10.8%Pathtracer - Asian Dragon9.4%scikit_qdaOpenMP LeukocyteApache Spark BayesOpenMP CFD Solver8.9%W.P.D.F - CPUW.P.D.F.I - CPUDefault7.8%V.D.F.I - CPUF.D.F.I - CPUbertsquad-12 - CPU - StandardM.T.E.T.D.F - CPUP.V.B.D.F - CPUPreset 10 - Bosphorus 4KTime To Compile5.3%7 - Bosphorus 4K5.1%OFDM_TestV.D.F - CPUP.D.F - CPUP.P.BJPEG - 7P.D.F - CPUTime To Compile3.7%Bosphorus 4K - Ultra Fast3.5%PNG - 7OPTIONS, StatefulG.A.U.J.F263.2%10, LosslessPreset 8 - Bosphorus 4K6Preset 12 - Bosphorus 4K262.7%9 - Compression SpeedCPU - MobileNet v2UASTC Level 0scikit_icaC75523 - Compression SpeedS.C.m.j2.3%RotateLion19 - D.S2.1%Time To Compile6, LosslessDefault2.1%PNG - 8DragonflydbDragonflydbBRL-CADDragonflydbPostgreSQL pgbenchPostgreSQL pgbenchPostgreSQL pgbenchPostgreSQL pgbenchMariaDBNatrononeDNNoneDNNoneDNNoneDNNoneDNNOpenFOAMNAS Parallel BenchmarksoneDNNAppleseedoneDNNetcdetcdetcdetcdOpenFOAMetcdetcdetcdXcompact3d Incompact3dPennantCoremarketcdASKAPOpenVINOFacebook RocksDBOpenSSLOpenSSLSysbenchOpenSSLASTC EncoderASKAPOpenVINOWRFNAS Parallel BenchmarksHelsingHigh Performance Conjugate GradientRELIONLiquid-DSPnginxPrimesieveNAS Parallel BenchmarksOpenVINOetcdOpenVINOetcdASTC Encoderm-queensetcdetcdNAS Parallel BenchmarksOpenVINOetcdetcdOSPRay StudioAlgebraic Multi-Grid BenchmarkOSPRay StudioetcdOSPRay StudioNAS Parallel BenchmarksNAS Parallel BenchmarksLULESHetcdBlenderKripkeOpenVINOLiquid-DSPOpenVINOStockfishOpenVINOOpenVINOnginxOpenVINOOpenVINONAS Parallel BenchmarksebizzyasmFish7-Zip CompressionBlenderOSPRay StudioOSPRay StudioOSPRay StudioOSPRay StudioXmrigNAS Parallel BenchmarksBlenderMariaDBOSPRay StudioNAS Parallel BenchmarksONNX RuntimeOSPRay StudioBlenderBlenderEmbreeRodiniaEmbreePennantNAMDTimed Linux Kernel CompilationWebP2 Image EncodeGPAWASKAPCloverLeafIntel Open Image DenoiseOpenVINOASTC EncoderIntel Open Image DenoiseGROMACSFacebook RocksDBNAS Parallel BenchmarksRenaissanceACES DGEMMPostgreSQL pgbenchRenaissancePostgreSQL pgbenchGraphicsMagickSVT-HEVCTimed LLVM CompilationLuxCoreRenderKvazaarPostgreSQL pgbench7-Zip CompressionLuxCoreRenderPostgreSQL pgbenchoneDNNRedisONNX RuntimeTimed Node.js CompilationGraphicsMagickPOV-RaySysbenchTimed Linux Kernel CompilationBasis UniversalLZ4 CompressionRenaissanceLZ4 CompressionRenaissanceWebP2 Image EncodeApache HTTP ServerJPEG XL Decoding libjxlONNX RuntimeTimed FFmpeg CompilationONNX RuntimeApache HTTP ServerLuxCoreRenderx265SPECjbb 2015Liquid-DSPRenaissanceTimed LLVM CompilationOpenVINOFacebook RocksDBAppleseedBasis UniversalLuxCoreRenderGraph500Apache CassandraGraphicsMagickONNX RuntimeGraph500Zstd CompressionEmbreeAOM AV1Facebook RocksDBOpenVINOXmrigWebP2 Image EncodeOpenFOAMVP9 libvpx EncodingSVT-HEVCLeelaChessZeroDaCapo BenchmarkNWChemAppleseedTimed Mesa CompilationLeelaChessZerominiFEAOM AV1OpenFOAMLuxCoreRenderTimed Gem5 CompilationBuild2EmbreeMlpack BenchmarkRodiniaRenaissanceRodiniaOpenVINOOpenVINOWebP2 Image EncodeOpenVINOOpenVINOONNX RuntimeOpenVINOOpenVINOSVT-AV1Timed Godot Game Engine CompilationSVT-HEVCsrsRANOpenVINOOpenVINOLibRawJPEG XL libjxlOpenVINOTimed PHP CompilationKvazaarJPEG XL libjxlPJSIPRenaissanceGraph500libavif avifencSVT-AV1libavif avifencSVT-AV1Node.js Express HTTP Load TestGraph500LZ4 CompressionTNNBasis UniversalMlpack BenchmarkNgspiceLZ4 CompressionSPECjbb 2015GraphicsMagickGoogle DracoZstd CompressionTimed Apache Compilationlibavif avifencTimed CPython CompilationJPEG XL libjxlEPYC 7713 2PEPYC 7713

Ubuntu 22.04 Server Benchmarkswrf: conus 2.5kmopenfoam: drivaerFastback, Large Mesh Size - Execution Timeopenfoam: drivaerFastback, Large Mesh Size - Mesh Timespec-jbb2015: SPECjbb2015-Composite critical-jOPSspec-jbb2015: SPECjbb2015-Composite max-jOPSmysqlslap: 4096mysqlslap: 2048nwchem: C240 Buckyballrenaissance: ALS Movie Lensrelion: Basic - CPUbrl-cad: VGR Performance Metricincompact3d: X3D-benchmarking input.i3drodinia: OpenMP HotSpot3Dstockfish: Total Timelczero: Eigenlczero: BLASrenaissance: Savina Reactors.IOqe: AUSURF112onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUpgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writeasmfish: 1024 Hash Memory, 26 Depthpgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writerenaissance: Apache Spark PageRankgraph500: 26graph500: 26graph500: 26graph500: 26onnx: ArcFace ResNet-100 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: super-resolution-10 - CPU - Standardjpegxl: PNG - 8securemark: SecureMark-TLShpcg: luaradio: Complex Phaseluaradio: Hilbert Transformluaradio: FM Deemphasis Filterluaradio: Five Back to Back FIR Filtersblender: Barbershop - CPU-Onlyonednn: Recurrent Neural Network Inference - u8s8f32 - CPUmlpack: scikit_qdabuild-linux-kernel: allmodconfigtnn: CPU - DenseNetopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timebuild-llvm: Unix Makefilesnumpy: luxcorerender: Danish Mood - CPUluxcorerender: LuxCore Benchmark - CPUcompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedopenssl: SHA256build-gem5: Time To Compileappleseed: Material Testerwebp2: Quality 95, Compression Effort 7ospray-studio: 3 - 4K - 32 - Path Tracerbuild-nodejs: Time To Compilepgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlyospray-studio: 3 - 4K - 16 - Path Tracerngspice: C2670build-llvm: Ninjavpxenc: Speed 5 - Bosphorus 4Kluxcorerender: Orange Juice - CPUcassandra: Writesclickhouse: 100M Rows Web Analytics Dataset, Third Runclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 32 - Path Traceronnx: GPT-2 - CPU - Standardonnx: bertsquad-12 - CPU - Standardospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerrenaissance: Genetic Algorithm Using Jenetics + Futuresnpb: EP.Drenaissance: In-Memory Database Shootoutrenaissance: Finagle HTTP Requestsngspice: C7552etcd: RANGE - 100 - 100 - Average Latencyetcd: RANGE - 100 - 100onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUjpegxl: PNG - 7appleseed: Emilyopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUsimdjson: DistinctUserIDsimdjson: TopTweetapache: 1000helsing: 14 digitsimdjson: PartialTweetsapache: 500nginx: 500nginx: 1000sysbench: CPUbuild-python: Released Build, PGO + LTO Optimizedetcd: PUT - 100 - 100 - Average Latencyetcd: PUT - 100 - 100onednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUetcd: RANGE - 500 - 100 - Average Latencyetcd: RANGE - 500 - 100etcd: PUT - 500 - 100 - Average Latencyetcd: PUT - 500 - 100etcd: PUT - 100 - 1000 - Average Latencyetcd: PUT - 100 - 1000etcd: RANGE - 100 - 1000 - Average Latencyetcd: RANGE - 100 - 1000ebizzy: node-web-tooling: onednn: Recurrent Neural Network Inference - f32 - CPUetcd: PUT - 500 - 1000 - Average Latencyetcd: PUT - 500 - 1000etcd: RANGE - 500 - 1000 - Average Latencyetcd: RANGE - 500 - 1000blender: Pabellon Barcelona - CPU-Onlyopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUcompress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUdragonflydb: 50 - 1:5dragonflydb: 50 - 1:1dragonflydb: 50 - 5:1openvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUpyperformance: python_startuppjsip: INVITEpjsip: OPTIONS, Statefulopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUluxcorerender: DLSC - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUrocksdb: Update Randrocksdb: Read Rand Write Randrocksdb: Read While Writinggraphics-magick: Sharpenopenssl: RSA4096openssl: RSA4096graphics-magick: Enhancedrocksdb: Rand Readgraphics-magick: Rotategraphics-magick: HWB Color Spaceetcpak: Single-Threaded - ETC2coremark: CoreMark Size 666 - Iterations Per Secondblender: Classroom - CPU-Onlygpaw: Carbon Nanotubecloverleaf: Lagrangian-Eulerian Hydrodynamicssimdjson: Kostyabuild2: Time To Compileaom-av1: Speed 10 Realtime - Bosphorus 4Knatron: Spaceshiprodinia: OpenMP Leukocytesvt-hevc: 1 - Bosphorus 4Kbuild-wasmer: Time To Compilesimdjson: LargeRandsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMminife: Smallluxcorerender: Rainbow Colors and Prism - CPUmlpack: scikit_icaaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingwebp2: Quality 75, Compression Effort 7compress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedbuild-linux-kernel: defconfigcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingkripke: jpegxl-decode: 1webp: Quality 100, Lossless, Highest Compressionbuild-godot: Time To Compileprimesieve: 1e13srsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMavifenc: 2pyperformance: chaosgromacs: MPI CPU - water_GMX50_barebuild-php: Time To Compileredis: GET - 1000amg: appleseed: Disney Materialkvazaar: Bosphorus 4K - Ultra Fastrodinia: OpenMP LavaMDsrsran: OFDM_Testsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMembree: Pathtracer - Asian Dragonembree: Pathtracer ISPC - Asian Dragononednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUpyperformance: regex_compilepjsip: OPTIONS, Statelesslibraw: Post-Processing Benchmarkblender: Fishy Cat - CPU-Onlynpb: IS.Drenaissance: Apache Spark Bayesaircrack-ng: encode-flac: WAV To FLACx265: Bosphorus 4Ksynthmark: VoiceMark_100quantlib: xmrig: Monero - 1Mnamd: ATPase Simulation - 327,506 Atomspennant: leblancbigphpbench: PHP Benchmark Suitejpegxl: JPEG - 7xmrig: Wownero - 1Mmlpack: scikit_svmdacapobench: Tradebeansblender: BMW27 - CPU-Onlylulesh: pyperformance: pickle_pure_pythontnn: CPU - MobileNet v2cython-bench: N-Queensnpb: SP.Cpybench: Total For Average Test Timesnode-express-loadtest: srsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMoidn: RT.hdr_alb_nrm.3840x2160npb: BT.Csvt-hevc: 10 - Bosphorus 4Koidn: RT.ldr_alb_nrm.3840x2160build-apache: Time To Compileaskap: Hogbom Clean OpenMPliquid-dsp: 256 - 256 - 57kvazaar: Bosphorus 4K - Very Fastliquid-dsp: 128 - 256 - 57liquid-dsp: 64 - 256 - 57liquid-dsp: 32 - 256 - 57npb: SP.Bsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMbuild-mesa: Time To Compiletnn: CPU - SqueezeNet v1.1build-ffmpeg: Time To Compilejpegxl-decode: Allbasis: UASTC Level 3sysbench: RAM / Memorynpb: LU.Csvt-av1: Preset 12 - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Kastcenc: Exhaustivewebp: Quality 100, Losslessembree: Pathtracer ISPC - Crownjpegxl: JPEG - 8povray: Trace Timemt-dgemm: Sustained Floating-Point Ratebasis: UASTC Level 2embree: Pathtracer - Crownastcenc: Thoroughencode-mp3: WAV To MP3draco: Church Facadenpb: CG.Conednn: Convolution Batch Shapes Auto - f32 - CPUpennant: sedovbigm-queens: Time To Solveavifenc: 6, Losslessdraco: Lionwebp: Quality 100, Highest Compressionrodinia: OpenMP CFD Solversvt-av1: Preset 10 - Bosphorus 4Knpb: FT.Cbasis: UASTC Level 0webp2: Defaultoctave-benchmark: dacapobench: Jythonsvt-hevc: 7 - Bosphorus 4Kavifenc: 10, Losslessastcenc: Mediumtnn: CPU - SqueezeNet v2npb: EP.Cetcpak: Multi-Threaded - ETC2avifenc: 6npb: MG.Cwebp2: Quality 100, Compression Effort 5webp: Quality 100webp: Defaultbuild-python: Defaultctx-clock: Context Switch Timeblake2: EPYC 7713 2PEPYC 77138650.8397052.62776.38689461308991401502183.624613.1290.9613240515300.69114289.2802794869424093444912254.2399.922840.0515.0761663324887051935.094142613985.739037700030233800065946700064251600087723733045691.0024958237.1011623.898.4364.31211.6171.522754.4531.84160.4633065.920281.7124.96178.675469.387.507.6310743.254.18134629156527159.015336.5831190.3152785113.4660.24820127220.126198315526510137.362105.03213.8618.60209921396.82387.01377.521646454607878668446241424227421379221582314.99109.246136.410535.4105.9512.737230.32737473.9110.74151.5310713597.4717.594.424.3984767.7362.1293.8491255.7990312.0094018.12500125.79261.3372.638209.42027531.127435.342.638506.60512.638992.815823.741860.482523.442305.618345325810.502840.3322.843696.761822.644040.713553.884777.1513.1010851.452.514774.3713.09724442.87724466.22724635.931388.4145.847.7146928819292.82218.1322.162884.4412.2320.383136.1435.751788.342.1157763.8928.054559.423.2737561.0733.551905.513046542922167145646737791638050.525009.613444801753327301093229.6374105747.13977240.8943.85719.442.953.23257.041.947.28415.0851.8691143.6392.324664.816.9946.4043735.839742.00.553473.084.73485.839.921.58463408651661714395026766.930.5641.16728.718141.0426.141.21395.88.21538.3381364479.13192330666750.46425858.5226.740130333333133.6394.168.875967.173630.01161556761737.9622.254690.06638.1149778.79718.13321.48748.0572808.850749.60.267123.556570726003100.7741982.921.45456817.1936456.229385341.28123.312116527.63953619862.2127.92.26235808.54195.622.2620.521319.756535090000054.24508506666731915333331614266667142675.55149.6427.418.100273.84814.271569.9711.4027260.66259899.49179.55055.6268.7976.44991.4282.926328.927.59032.0712278.77389.600658.47447.490752545587.100.6408335.6758956.3767.33457353.476.283123.806116679.266.3799.706.5454106144.705.558380.646765.8948338.276678.5653.957100740.896.4110.6516.7515.391203.3916959.84814972.97888.82853891279572476152491.118814.1563.271697698609.67747088.019149383689359838938004.9397.641229.563.400735271387761027.980626543067.3323593000254477000642278000622681000153818541766311.0224774719.1088628.998.6365.41189.0299.301253.5029.19272.6093107.102633.93139.89218.445464.566.206.8414123.355.4368101809853176.430152.3942040.24100051164.0010.36513709350.193129768447134136.020159.57515.8612.48250596394.98392.92378.442922860819368713849682496400582463395682243.24668.965009.26720.8103.3871.379219.65092984.4711.11133.043473555.788.974.404.39109150.30120.9993.86115006.99173899.19174524.79252440.57261.3651.378829.58882943.082950.431.282098.41781.281895.962312.479978.190512.480131.795824649410.601266.2011.983927.655811.884602.780396.304601.786.8214156.753.894600.946.813599739.573382696.793244708.361293.5124.597.6446909115274.57116.3320.821535.088.3318.931689.1834.17935.581.0649691.0325.972462.402.0330742.1731.021030.7635833635618419182167511825904.112613.19412420747987461303230.4322045229.64589677.1471.65812.002.958.95663.906.043.3929.9151.9651143.6396.021875.121.1345.2721943.020252.10.483401.684.93460.347.429.40935460835107727072252767.620.5643.35455.255141.4431.840.76696.55.13039.7631990067.33101205166761.26563756.5346.547136633333133.7394.462.981456.809812.56081566660239.4038.852648.96585.6149666.94318.12926.69747.3082795.328612.40.454576.133060733332104.5836467.221.33399830.4319305.656387332.61123.38451921.71959636762.4128.91.40127998.61223.661.4120.100520.840276716666736.7127069000002577666667160556666789950.76149.6430.520.610273.48118.146731.8815.3859990.12135917.43184.71165.4970.7833.26591.4047.558329.2410.68020.88027110.61551.833430.45547.472741124085.730.93470611.4272312.2387.18456133.486.845131.27060659.256.2219.006.5824033137.745.398236.602065.6174406.026702.5183.84657329.7010.8510.6916.7815.7081203.39OpenBenchmarking.org

WRF

WRF, the Weather Research and Forecasting Model, is a "next-generation mesoscale numerical weather prediction system designed for both atmospheric research and operational forecasting applications. It features two dynamical cores, a data assimilation system, and a software architecture supporting parallel computation and system extensibility." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmEPYC 7713 2PEPYC 77134K8K12K16K20K8650.8416959.851. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 9Input: drivaerFastback, Large Mesh Size - Execution TimeEPYC 7713 2PEPYC 77133K6K9K12K15K7052.6214972.971. (CXX) g++ options: -std=c++14 -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 9Input: drivaerFastback, Large Mesh Size - Mesh TimeEPYC 7713 2PEPYC 77132004006008001000776.38888.821. (CXX) g++ options: -std=c++14 -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

SPECjbb 2015

This is a benchmark of SPECjbb 2015. For this test profile to work, you must have a valid license/copy of the SPECjbb 2015 ISO (SPECjbb2015-1.02.iso) in your Phoronix Test Suite download cache. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgjOPS, More Is BetterSPECjbb 2015SPECjbb2015-Composite critical-jOPSEPYC 7713EPYC 7713 2P20K40K60K80K100K8538968946

OpenBenchmarking.orgjOPS, More Is BetterSPECjbb 2015SPECjbb2015-Composite max-jOPSEPYC 7713 2PEPYC 771330K60K90K120K150K130899127957

MariaDB

This is a MariaDB MySQL database server benchmark making use of mysqlslap. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 4096EPYC 7713EPYC 7713 2P50100150200250SE +/- 0.15, N = 3SE +/- 0.87, N = 32471401. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl
OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 4096EPYC 7713EPYC 7713 2P4080120160200Min: 247.16 / Avg: 247.36 / Max: 247.65Min: 138.7 / Avg: 140.38 / Max: 141.581. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 2048EPYC 7713EPYC 7713 2P130260390520650SE +/- 4.69, N = 3SE +/- 0.88, N = 36151501. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl
OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 10.8.2Clients: 2048EPYC 7713EPYC 7713 2P110220330440550Min: 605.33 / Avg: 614.7 / Max: 619.58Min: 148.1 / Avg: 149.71 / Max: 151.131. (CXX) g++ options: -pie -fPIC -fstack-protector -O3 -lnuma -lpcre2-8 -lcrypt -laio -lz -lm -lssl -lcrypto -lpthread -ldl

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 7713 2PEPYC 771350010001500200025002183.62491.11. (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 -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

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 0.14Test: ALS Movie LensEPYC 7713EPYC 7713 2P5K10K15K20K25KSE +/- 25.65, N = 3SE +/- 323.63, N = 418814.124613.1MIN: 18778.84 / MAX: 20660.87MIN: 20413.78 / MAX: 30021.19
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: ALS Movie LensEPYC 7713EPYC 7713 2P4K8K12K16K20KMin: 18778.84 / Avg: 18814.09 / Max: 18863.99Min: 23875.6 / Avg: 24613.06 / Max: 25293.82

RELION

RELION - REgularised LIkelihood OptimisatioN - is a stand-alone computer program for Maximum A Posteriori refinement of (multiple) 3D reconstructions or 2D class averages in cryo-electron microscopy (cryo-EM). It is developed in the research group of Sjors Scheres at the MRC Laboratory of Molecular Biology. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUEPYC 7713 2PEPYC 7713120240360480600SE +/- 3.51, N = 4SE +/- 3.66, N = 3290.96563.271. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lmpi_cxx -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterRELION 3.1.1Test: Basic - Device: CPUEPYC 7713 2PEPYC 7713100200300400500Min: 287.24 / Avg: 290.96 / Max: 301.5Min: 559.55 / Avg: 563.27 / Max: 570.61. (CXX) g++ options: -fopenmp -std=c++0x -O3 -rdynamic -ldl -ltiff -lfftw3f -lfftw3 -lpng -lmpi_cxx -lmpi

BRL-CAD

BRL-CAD 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 7.32.6VGR Performance MetricEPYC 7713 2PEPYC 7713700K1400K2100K2800K3500K32405156976981. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm

Xcompact3d Incompact3d

Xcompact3d 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 BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 7713 2PEPYC 7713130260390520650SE +/- 0.29, N = 3SE +/- 1.64, N = 3300.69609.681. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dEPYC 7713 2PEPYC 7713110220330440550Min: 300.24 / Avg: 300.69 / Max: 301.24Min: 606.43 / Avg: 609.68 / Max: 611.671. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Rodinia

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7713EPYC 7713 2P20406080100SE +/- 1.40, N = 15SE +/- 1.37, N = 1588.0289.281. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DEPYC 7713EPYC 7713 2P20406080100Min: 81.76 / Avg: 88.02 / Max: 93.27Min: 81.94 / Avg: 89.28 / Max: 95.521. (CXX) g++ options: -O2 -lOpenCL

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeEPYC 7713 2PEPYC 771360M120M180M240M300MSE +/- 4884547.18, N = 15SE +/- 3372481.12, N = 122794869421493836891. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeEPYC 7713 2PEPYC 771350M100M150M200M250MMin: 247473323 / Avg: 279486942.2 / Max: 322235487Min: 135468169 / Avg: 149383689.42 / Max: 1688024671. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

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 0.28Backend: EigenEPYC 7713 2PEPYC 77139001800270036004500SE +/- 42.95, N = 4SE +/- 38.17, N = 3409335981. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: EigenEPYC 7713 2PEPYC 77137001400210028003500Min: 4025 / Avg: 4092.75 / Max: 4205Min: 3527 / Avg: 3597.67 / Max: 36581. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASEPYC 7713 2PEPYC 771310002000300040005000SE +/- 49.21, N = 4SE +/- 30.99, N = 3444938931. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLASEPYC 7713 2PEPYC 77138001600240032004000Min: 4328 / Avg: 4449 / Max: 4536Min: 3853 / Avg: 3893 / Max: 39541. (CXX) g++ options: -flto -pthread

Renaissance

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

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOEPYC 7713EPYC 7713 2P3K6K9K12K15KSE +/- 89.73, N = 3SE +/- 134.48, N = 128004.912254.2MIN: 7833.11 / MAX: 12272.32MIN: 11483.79 / MAX: 29956.39
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IOEPYC 7713EPYC 7713 2P2K4K6K8K10KMin: 7833.11 / Avg: 8004.88 / Max: 8135.75Min: 11483.79 / Avg: 12254.18 / Max: 13111.79

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 7.0Input: AUSURF112EPYC 7713EPYC 7713 2P90180270360450SE +/- 0.15, N = 3SE +/- 0.17, N = 3397.64399.921. (F9X) gfortran options: -pthread -fopenmp -ldevXlib -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3_omp -lfftw3 -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterQuantum ESPRESSO 7.0Input: AUSURF112EPYC 7713EPYC 7713 2P70140210280350Min: 397.42 / Avg: 397.64 / Max: 397.92Min: 399.59 / Avg: 399.92 / Max: 400.141. (F9X) gfortran options: -pthread -fopenmp -ldevXlib -lopenblas -lFoX_dom -lFoX_sax -lFoX_wxml -lFoX_common -lFoX_utils -lFoX_fsys -lfftw3_omp -lfftw3 -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7713EPYC 7713 2P6001200180024003000SE +/- 16.05, N = 15SE +/- 49.56, N = 151229.562840.05MIN: 1044.76MIN: 2016.641. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUEPYC 7713EPYC 7713 2P5001000150020002500Min: 1085.23 / Avg: 1229.56 / Max: 1326.64Min: 2308.57 / Avg: 2840.05 / Max: 2980.761. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7713EPYC 7713 2P48121620SE +/- 0.005, N = 3SE +/- 0.235, N = 123.40015.0761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyEPYC 7713EPYC 7713 2P48121620Min: 3.39 / Avg: 3.4 / Max: 3.41Min: 12.71 / Avg: 15.08 / Max: 15.891. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7713EPYC 7713 2P16K32K48K64K80KSE +/- 106.66, N = 3SE +/- 294.20, N = 1273527166331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 250 - Mode: Read WriteEPYC 7713EPYC 7713 2P13K26K39K52K65KMin: 73412.16 / Avg: 73526.86 / Max: 73739.97Min: 15735.2 / Avg: 16632.78 / Max: 19668.661. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7713 2PEPYC 771350M100M150M200M250MSE +/- 2119737.62, N = 12SE +/- 277360.08, N = 3248870519138776102
OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthEPYC 7713 2PEPYC 771340M80M120M160M200MMin: 241087047 / Avg: 248870518.5 / Max: 265609626Min: 138351810 / Avg: 138776101.67 / Max: 139297712

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 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average LatencyEPYC 7713EPYC 7713 2P816243240SE +/- 0.022, N = 3SE +/- 0.318, N = 127.98035.0941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average LatencyEPYC 7713EPYC 7713 2P714212835Min: 7.94 / Avg: 7.98 / Max: 8.01Min: 32.46 / Avg: 35.09 / Max: 36.951. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read WriteEPYC 7713EPYC 7713 2P13K26K39K52K65KSE +/- 172.39, N = 3SE +/- 133.03, N = 1262654142611. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 14.0Scaling Factor: 100 - Clients: 500 - Mode: Read WriteEPYC 7713EPYC 7713 2P11K22K33K44K55KMin: 62437.32 / Avg: 62654.37 / Max: 62994.9Min: 13532.97 / Avg: 14260.54 / Max: 15402.761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -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 0.14Test: Apache Spark PageRankEPYC 7713EPYC 7713 2P9001800270036004500SE +/- 36.17, N = 4SE +/- 42.53, N = 123067.33985.7MIN: 2704.9 / MAX: 3282.25MIN: 3177.8 / MAX: 5051.59
OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark PageRankEPYC 7713EPYC 7713 2P7001400210028003500Min: 2972.6 / Avg: 3067.3 / Max: 3134.7Min: 3661.68 / Avg: 3985.7 / Max: 4209.6

Graph500

This is a benchmark of the reference implementation of Graph500, an HPC benchmark focused on data intensive loads and commonly tested on supercomputers for complex data problems. Graph500 primarily stresses the communication subsystem of the hardware under test. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsssp max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713 2PEPYC 771380M160M240M320M400M3903770003235930001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgsssp median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713 2PEPYC 771360M120M180M240M300M3023380002544770001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgbfs max_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713 2PEPYC 7713140M280M420M560M700M6594670006422780001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

OpenBenchmarking.orgbfs median_TEPS, More Is BetterGraph500 3.0Scale: 26EPYC 7713 2PEPYC 7713140M280M420M560M700M6425160006226810001. (CC) gcc options: -fcommon -O3 -lpthread -lm -lmpi

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 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P30060090012001500SE +/- 5.25, N = 3SE +/- 14.15, N = 1215388771. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P30060090012001500Min: 1527.5 / Avg: 1537.67 / Max: 1545Min: 806 / Avg: 876.67 / Max: 955.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardEPYC 7713 2PEPYC 771350100150200250SE +/- 2.05, N = 3SE +/- 3.69, N = 122371851. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: StandardEPYC 7713 2PEPYC 77134080120160200Min: 233.5 / Avg: 237.33 / Max: 240.5Min: 178 / Avg: 184.67 / Max: 2251. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P90180270360450SE +/- 1.15, N = 3SE +/- 5.46, N = 124173301. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P70140210280350Min: 414.5 / Avg: 416.5 / Max: 418.5Min: 310 / Avg: 329.92 / Max: 371.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P14002800420056007000SE +/- 6.02, N = 3SE +/- 45.38, N = 12663145691. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt
OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P12002400360048006000Min: 6620 / Avg: 6631.33 / Max: 6640.5Min: 4425.5 / Avg: 4569.13 / Max: 4880.51. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

JPEG XL libjxl

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 using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 8EPYC 7713EPYC 7713 2P0.22950.4590.68850.9181.1475SE +/- 0.00, N = 3SE +/- 0.00, N = 31.021.001. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.6.1Input: PNG - Encode Speed: 8EPYC 7713EPYC 7713 2P246810Min: 1.02 / Avg: 1.02 / Max: 1.02Min: 0.99 / Avg: 1 / Max: 11. (CXX) g++ options: -funwind-tables -O3 -O2 -fPIE -pie

SecureMark

SecureMark is an objective, standardized benchmarking framework for measuring the efficiency of cryptographic processing solutions developed by EEMBC. SecureMark-TLS is benchmarking Transport Layer Security performance with a focus on IoT/edge computing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 7713 2PEPYC 771350K100K150K200K250KSE +/- 512.51, N = 3SE +/- 2502.24, N = 32495822477471. (CC) gcc options: -pedantic -O3
OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSEPYC 7713 2PEPYC 771340K80K120K160K200KMin: 248561.64 / Avg: 249581.93 / Max: 250177.3Min: 243834.89 / Avg: 247747.18 / Max: 252405.941. (CC) gcc options: -pedantic -O3

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 7713 2PEPYC 7713918273645SE +/- 0.11, N = 3SE +/- 0.01, N = 337.1019.111. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7713 2PEPYC 7713816243240Min: 36.88 / Avg: 37.1 / Max: 37.23Min: 19.1 / Avg: 19.11 / Max: 19.121. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhaseEPYC 7713EPYC 7713 2P140280420560700SE +/- 0.40, N = 3SE +/- 0.67, N = 3628.9623.8
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhaseEPYC 7713EPYC 7713 2P110220330440550Min: 628.4 / Avg: 628.9 / Max: 629.7Min: 622.5 / Avg: 623.83 / Max: 624.6

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformEPYC 7713EPYC 7713 2P20406080100SE +/- 0.12, N = 3SE +/- 0.06, N = 398.698.4
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformEPYC 7713EPYC 7713 2P20406080100Min: 98.4 / Avg: 98.57 / Max: 98.8Min: 98.3 / Avg: 98.4 / Max: 98.5

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterEPYC 7713EPYC 7713 2P80160240320400SE +/- 0.12, N = 3SE +/- 0.33, N = 3365.4364.3
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterEPYC 7713EPYC 7713 2P70140210280350Min: 365.2 / Avg: 365.37 / Max: 365.6Min: 363.6 / Avg: 364.27 / Max: 364.6

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersEPYC 7713 2PEPYC 771330060090012001500SE +/- 4.33, N = 3SE +/- 13.28, N = 31211.61189.0
OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersEPYC 7713 2PEPYC 77132004006008001000Min: 1204.2 / Avg: 1211.6 / Max: 1219.2Min: 1164.4 / Avg: 1188.97 / Max: 1210

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyEPYC 7713 2PEPYC 771370140210280350SE +/- 0.28, N = 3SE +/- 0.18, N = 3171.52299.30
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-OnlyEPYC 7713 2PEPYC 771350100150200250Min: 171.18 / Avg: 171.52 / Max: 172.08Min: 298.95 / Avg: 299.3 / Max: 299.5

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 Intel oneAPI. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.6Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUEPYC 7713EPYC 7713 2P6001200180024003000SE +/- 2.41, N = 3SE +/- 32.96, N = 151253.502754.45MIN: 1197.7MIN: 2158.821. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -std=c++11 -pie -ldl -lpthread