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
Jump To Table - Results

View

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

Limit displaying results to tests within:

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

Statistics

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

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
EPYC 7713 2P
September 08 2022
  1 Day, 15 Hours, 49 Minutes
EPYC 7713
September 11 2022
  1 Day, 16 Hours, 26 Minutes
Invert Hiding All Results Option
  1 Day, 16 Hours, 7 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


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 - CPUPUT - 500 - 100 - Average LatencyRANGE - 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 Benchmarksgraph500: 26graph500: 26openssl: SHA256minife: Smallsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsysbench: CPUamg: openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUnatron: Spaceshipembree: Pathtracer - Asian Dragonembree: Pathtracer - Crownembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Crownaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kvpxenc: Speed 5 - Bosphorus 4Kkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastsvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 4Kx265: Bosphorus 4Ksvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 4Ksimdjson: LargeRandsimdjson: TopTweetsimdjson: PartialTweetssimdjson: Kostyasimdjson: DistinctUserIDhpcg: mt-dgemm: Sustained Floating-Point Ratexmrig: Monero - 1Mxmrig: Wownero - 1Moidn: RT.hdr_alb_nrm.3840x2160oidn: RT.ldr_alb_nrm.3840x2160onnx: yolov4 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Standardonnx: super-resolution-10 - CPU - Standardonnx: bertsquad-12 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardgraphics-magick: HWB Color Spacegraphics-magick: Enhancedgraphics-magick: Rotategraphics-magick: Sharpenaskap: Hogbom Clean OpenMPcoremark: CoreMark Size 666 - Iterations Per Secondspec-jbb2015: SPECjbb2015-Composite max-jOPSspec-jbb2015: SPECjbb2015-Composite critical-jOPSaircrack-ng: luxcorerender: DLSC - CPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUluxcorerender: Danish Mood - CPUsecuremark: SecureMark-TLScompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedcompress-lz4: 3 - Compression Speedcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedcompress-lz4: 9 - Decompression Speedquantlib: luaradio: Five Back to Back FIR Filtersluaradio: FM Deemphasis Filterluaradio: Hilbert Transformluaradio: Complex Phasesysbench: RAM / Memorycompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingjpegxl: PNG - 7jpegxl: PNG - 8jpegxl-decode: 1jpegxl-decode: Allwebp: Defaultwebp: Quality 100webp: Quality 100, Highest Compressionwebp: Quality 100, Losslesswebp: Quality 100, Lossless, Highest Compressionwebp2: Defaultwebp2: Quality 95, Compression Effort 7jpegxl: JPEG - 7jpegxl: JPEG - 8webp2: Quality 75, Compression Effort 7webp2: Quality 100, Compression Effort 5askap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddinglibraw: Post-Processing Benchmarketcpak: Single-Threaded - ETC2etcpak: Multi-Threaded - ETC2astcenc: Mediumastcenc: Thoroughastcenc: Exhaustivelczero: BLASlczero: Eigenstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthgromacs: MPI CPU - water_GMX50_barerocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Update Randcassandra: Writesdragonflydb: 50 - 1:5dragonflydb: 50 - 1:1dragonflydb: 50 - 5:1clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, Third Runmysqlslap: 2048mysqlslap: 4096ebizzy: apache: 500apache: 1000nginx: 500nginx: 1000node-express-loadtest: redis: GET - 1000etcd: PUT - 100 - 100etcd: PUT - 100 - 1000etcd: PUT - 500 - 100etcd: PUT - 500 - 1000etcd: RANGE - 100 - 100etcd: RANGE - 100 - 1000etcd: RANGE - 500 - 100etcd: RANGE - 500 - 1000pjsip: OPTIONS, Statefulpjsip: OPTIONS, Statelesspjsip: INVITEnode-web-tooling: srsran: OFDM_Testliquid-dsp: 32 - 256 - 57liquid-dsp: 64 - 256 - 57liquid-dsp: 128 - 256 - 57liquid-dsp: 256 - 256 - 57numpy: phpbench: PHP Benchmark Suiteopenssl: RSA4096graph500: 26graph500: 26kripke: npb: BT.Cnpb: EP.Cnpb: EP.Dnpb: FT.Cnpb: LU.Cnpb: SP.Bnpb: SP.Cnpb: IS.Dnpb: CG.Cnpb: MG.Cpgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Onlypgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Onlysrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMopenssl: RSA4096brl-cad: VGR Performance Metricsynthmark: VoiceMark_100lulesh: ctx-clock: Context Switch Timeblake2: namd: ATPase Simulation - 327,506 Atomspennant: leblancbigpennant: sedovbigpybench: Total For Average Test Timespyperformance: chaospyperformance: pickle_pure_pythonpyperformance: python_startuppyperformance: regex_compileopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUonednn: Convolution Batch Shapes Auto - 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 - CPUtnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1tnn: CPU - SqueezeNet v2renaissance: Savina Reactors.IOrenaissance: Apache Spark Bayesrenaissance: Apache Spark PageRankrenaissance: In-Memory Database Shootoutrenaissance: Finagle HTTP Requestsrenaissance: Genetic Algorithm Using Jenetics + Futuresrenaissance: ALS Movie Lensospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerdraco: Church Facadedraco: Lionpgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Only - Average Latencyetcd: PUT - 100 - 100 - Average Latencyetcd: PUT - 100 - 1000 - Average Latencyetcd: PUT - 500 - 100 - Average Latencyetcd: PUT - 500 - 1000 - Average Latencyetcd: RANGE - 100 - 100 - Average Latencyetcd: RANGE - 100 - 1000 - Average Latencyetcd: RANGE - 500 - 100 - Average Latencyetcd: RANGE - 500 - 1000 - Average Latencydacapobench: Jythondacapobench: Tradebeansgpaw: Carbon Nanotubewrf: conus 2.5kmrelion: Basic - CPUincompact3d: X3D-benchmarking input.i3dnwchem: C240 Buckyballqe: AUSURF112rodinia: OpenMP CFD Solverrodinia: OpenMP LavaMDrodinia: OpenMP Leukocyterodinia: OpenMP HotSpot3Dopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Large Mesh Size - Mesh Timeopenfoam: drivaerFastback, Large Mesh Size - Execution Timecloverleaf: Lagrangian-Eulerian Hydrodynamicsmlpack: scikit_svmmlpack: scikit_qdamlpack: scikit_icabuild-apache: Time To Compilebuild-ffmpeg: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-gem5: Time To Compilebuild-godot: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-mesa: Time To Compilebuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-wasmer: Time To Compilebuild2: Time To Compileblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyappleseed: Emilyappleseed: Disney Materialappleseed: Material Testerpovray: Trace Timeavifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbasis: UASTC Level 0basis: UASTC Level 2basis: UASTC Level 3cython-bench: N-Queensngspice: C2670ngspice: C7552octave-benchmark: helsing: 14 digitprimesieve: 1e13encode-flac: WAV To FLACencode-mp3: WAV To MP3m-queens: Time To SolveEPYC 7713 2PEPYC 771365946700064251600013462915652724664.8392.3427.4394.1426.1127.9500125.79192330666717.5945.8437561.0757763.8913.1013.094559.421905.513136.141788.342884.44218.131.968.875989.600667.173682.926357.0455.6213.8654.2458.52179.550123.80668.79715.0821.48144.70195.6214.393.842.94.4237.101132.07122750749.641982.92.262.263302374569668787887710931344730779319.7564105747.13977213089968946149778.79712.2316.997.6318.607.5024958284.73473.039.93485.854.1810743.252.5110851.42808.81211.6364.398.4623.87260.6651661763408610.741.0066.93569.9716.7510.653.471.420.569.700.31100.7728.920.556.4143735.839742.037.96229.6376678.565380.646758.47446.4499444940932794869422488705198.215480175332145646732922167304654209921724442.87724466.22724635.93377.52387.01396.8215014045325891255.7984767.7390312.0094018.1261981364479.1338209.420241860.482538992.815843696.761837230.327342305.618338506.605144040.7135881967617469210.501303333331614266667319153333350850666675350900000469.3872600325009.6390377000302338000143950267235808.548338.279109.24116679.26259899.49142675.55116527.634690.0645587.10100740.89166331983155142612012722143.6149.6133.6141.062.21638050.53240515748.05736456.2291203.390.267123.5565705.67589595395.83857.711553597.471388.413.272.114777.154774.3728.0533.5520.3835.7522.16292.820.64083330.01167531.127435.347473.912840.332754.452840.053065.920341.281273.84865.89412254.2638.13985.76136.410535.42314.924613.11379221584462414242274245460164626510527857525573515.0760.12635.0940.2482.623.72.622.82.723.42.622.64106456843.8578650.839290.961300.6911422183.6399.926.28326.74047.28489.280124.96281.7776.387052.6219.4421.4531.8446.4020.52114.271105.032178.675159.01541.16721.584160.46318.100113.46638.33815.39261.33751.86953.23217.1940.8922.2553.88171.52151.53107150.464258336.5831197.59041.2133.9577.3345.5586.3798.77311.40223.312137.362105.9516.54562.12928.71818.1337.4906.3766422780006226810006810180985321875.1396.0430.5394.4431.8128.9252440.5710120516678.9724.5930742.1749691.036.826.812462.401030.761689.18935.581535.08116.336.062.981451.833456.809847.558363.9065.4915.8636.7156.53184.711131.27070.7839.9126.69137.74223.6614.393.862.94.4019.108820.88027128612.436467.21.401.414171856631713936815381303941746511520.8402045229.64589612795785389149666.9438.3321.136.8412.486.2024774784.93401.647.43460.355.4314123.353.8914156.72795.31189.0365.498.6628.99990.1235107735460811.111.0267.62731.8816.7810.693.481.400.569.000.24104.5829.240.4810.8521943.020252.139.40230.4326702.518236.602030.45543.2659389335981493836891387761025.130242074798918216735618413583362505963599739.573382696.793244708.36378.44392.92394.98615247246494115006.99109150.30173899.19174524.7963671990067.3378829.588879978.190581895.962383927.655879219.650980131.795882098.417884602.7803911566602469010.601366333331605566667257766666727069000002767166667464.5673333212613.1323593000254477000270722527127998.614406.024668.9660659.25135917.4389950.7651921.712648.9624085.7357329.70735271297684626541370935143.6149.6133.7141.462.4825904.1697698747.30819305.6561203.390.454576.13306011.4272395996.53877.641563555.781293.512.031.064601.784600.9425.9731.0218.9334.1720.82274.570.93470612.56082943.082950.432984.471266.201253.501229.563107.102332.611273.48165.6178004.9585.63067.35009.26720.82243.218814.12463395688496824964005886081292247134100051741156133.4000.1937.9800.3651.312.41.211.91.312.41.211.84033399871.65816959.848563.271609.6774702491.1397.646.84546.54743.39288.019139.89633.93888.8214972.9712.0021.3329.1945.2720.10018.146159.575218.445176.43043.35429.409272.60920.610164.00139.76315.708261.36551.96558.95630.4377.1438.8596.30299.30133.0434761.265637152.39420410.68040.7663.8467.1845.3986.22110.61515.38523.384136.020103.3876.582120.99955.25518.1297.47212.238OpenBenchmarking.org

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 77134080120160200Min: 18.73 / Avg: 175.52 / Max: 233.05

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.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

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 7713 2PEPYC 771330000M60000M90000M120000M150000MSE +/- 153008615.66, N = 3SE +/- 67558357.93, N = 3134629156527681018098531. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.0Algorithm: SHA256EPYC 7713 2PEPYC 771320000M40000M60000M80000M100000MMin: 134352638050 / Avg: 134629156526.67 / Max: 134880941350Min: 67986313010 / Avg: 68101809853.33 / Max: 682202851601. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

miniFE

OpenBenchmarking.orgCG Mflops Per Watt, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7713EPYC 7713 2P306090120150149.7286.98

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7713 2PEPYC 77135K10K15K20K25KSE +/- 292.61, N = 15SE +/- 3.33, N = 424664.821875.11. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi
OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallEPYC 7713 2PEPYC 77134K8K12K16K20KMin: 23485.4 / Avg: 24664.83 / Max: 27288.2Min: 21867.6 / Avg: 21875.08 / Max: 21883.51. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P90180270360450SE +/- 0.59, N = 4SE +/- 2.15, N = 15396.0392.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P70140210280350Min: 394.5 / Avg: 396 / Max: 397.2Min: 362.5 / Avg: 392.28 / Max: 396.21. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMEPYC 7713EPYC 7713 2P90180270360450SE +/- 1.02, N = 3SE +/- 0.95, N = 3430.5427.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMEPYC 7713EPYC 7713 2P80160240320400Min: 428.5 / Avg: 430.53 / Max: 431.6Min: 425.6 / Avg: 427.4 / Max: 428.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMEPYC 7713EPYC 7713 2P90180270360450SE +/- 2.00, N = 3SE +/- 0.24, N = 3394.4394.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMEPYC 7713EPYC 7713 2P70140210280350Min: 390.4 / Avg: 394.4 / Max: 396.5Min: 393.6 / Avg: 394.07 / Max: 394.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMEPYC 7713EPYC 7713 2P90180270360450SE +/- 0.18, N = 3SE +/- 0.64, N = 3431.8426.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMEPYC 7713EPYC 7713 2P80160240320400Min: 431.5 / Avg: 431.83 / Max: 432.1Min: 425.3 / Avg: 426.13 / Max: 427.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P306090120150SE +/- 0.18, N = 3SE +/- 0.52, N = 3128.9127.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMEPYC 7713EPYC 7713 2P20406080100Min: 128.6 / Avg: 128.93 / Max: 129.2Min: 126.9 / Avg: 127.93 / Max: 128.61. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUEPYC 7713 2PEPYC 7713110K220K330K440K550KSE +/- 659.19, N = 3SE +/- 51.07, N = 3500125.79252440.571. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm
OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUEPYC 7713 2PEPYC 771390K180K270K360K450KMin: 499146.64 / Avg: 500125.79 / Max: 501379.93Min: 252342.35 / Avg: 252440.57 / Max: 252513.941. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

Algebraic Multi-Grid Benchmark

OpenBenchmarking.orgFigure Of Merit Per Watt, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7713EPYC 7713 2P1.1M2.2M3.3M4.4M5.5M5339041.554855985.26

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7713 2PEPYC 7713400M800M1200M1600M2000MSE +/- 699794.57, N = 3SE +/- 863687.12, N = 3192330666710120516671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2EPYC 7713 2PEPYC 7713300M600M900M1200M1500MMin: 1922022000 / Avg: 1923306666.67 / Max: 1924430000Min: 1011066000 / Avg: 1012051666.67 / Max: 10137730001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

Natron

OpenBenchmarking.orgFPS Per Watt, More Is BetterNatron 2.4.3Input: SpaceshipEPYC 7713EPYC 7713 2P0.00920.01840.02760.03680.0460.0410.007

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 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 7713 2PEPYC 771348121620SE +/- 0.18, N = 5SE +/- 0.01, N = 317.598.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUEPYC 7713 2PEPYC 771348121620Min: 16.87 / Avg: 17.59 / Max: 17.79Min: 8.95 / Avg: 8.97 / Max: 8.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 7713 2PEPYC 77131020304050SE +/- 0.04, N = 3SE +/- 0.02, N = 345.8424.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUEPYC 7713 2PEPYC 7713918273645Min: 45.78 / Avg: 45.84 / Max: 45.92Min: 24.56 / Avg: 24.59 / Max: 24.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7713 2PEPYC 77138K16K24K32K40KSE +/- 533.11, N = 3SE +/- 11.83, N = 337561.0730742.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 7713 2PEPYC 77137K14K21K28K35KMin: 36500.38 / Avg: 37561.07 / Max: 38185.32Min: 30718.52 / Avg: 30742.17 / Max: 30754.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 7713 2PEPYC 771312K24K36K48K60KSE +/- 378.72, N = 3SE +/- 78.11, N = 357763.8949691.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 7713 2PEPYC 771310K20K30K40K50KMin: 57131.3 / Avg: 57763.89 / Max: 58440.96Min: 49563.47 / Avg: 49691.03 / Max: 49832.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 7713 2PEPYC 77133691215SE +/- 0.05, N = 3SE +/- 0.02, N = 313.106.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUEPYC 7713 2PEPYC 771348121620Min: 13.01 / Avg: 13.1 / Max: 13.16Min: 6.79 / Avg: 6.82 / Max: 6.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 7713 2PEPYC 77133691215SE +/- 0.03, N = 3SE +/- 0.01, N = 313.096.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUEPYC 7713 2PEPYC 771348121620Min: 13.04 / Avg: 13.09 / Max: 13.12Min: 6.8 / Avg: 6.81 / Max: 6.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 7713 2PEPYC 771310002000300040005000SE +/- 0.96, N = 3SE +/- 1.64, N = 34559.422462.401. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 7713 2PEPYC 77138001600240032004000Min: 4557.6 / Avg: 4559.42 / Max: 4560.84Min: 2459.17 / Avg: 2462.4 / Max: 2464.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 7713 2PEPYC 7713400800120016002000SE +/- 2.71, N = 3SE +/- 0.14, N = 31905.511030.761. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUEPYC 7713 2PEPYC 771330060090012001500Min: 1900.26 / Avg: 1905.51 / Max: 1909.32Min: 1030.57 / Avg: 1030.76 / Max: 1031.041. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 7713 2PEPYC 77137001400210028003500SE +/- 2.08, N = 3SE +/- 1.36, N = 33136.141689.181. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUEPYC 7713 2PEPYC 77135001000150020002500Min: 3131.99 / Avg: 3136.14 / Max: 3138.38Min: 1687.34 / Avg: 1689.18 / Max: 1691.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 7713 2PEPYC 7713400800120016002000SE +/- 12.59, N = 3SE +/- 3.92, N = 31788.34935.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUEPYC 7713 2PEPYC 771330060090012001500Min: 1763.7 / Avg: 1788.34 / Max: 1805.12Min: 927.75 / Avg: 935.58 / Max: 939.671. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 7713 2PEPYC 77136001200180024003000SE +/- 3.95, N = 3SE +/- 0.60, N = 32884.441535.081. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 7713 2PEPYC 77135001000150020002500Min: 2876.7 / Avg: 2884.44 / Max: 2889.69Min: 1534.12 / Avg: 1535.08 / Max: 1536.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 7713 2PEPYC 771350100150200250SE +/- 0.45, N = 3SE +/- 0.19, N = 3218.13116.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUEPYC 7713 2PEPYC 77134080120160200Min: 217.34 / Avg: 218.13 / Max: 218.88Min: 115.97 / Avg: 116.33 / Max: 116.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

Natron

Natron is an open-source, cross-platform compositing software for visual effects (VFX) and motion graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipEPYC 7713EPYC 7713 2P246810SE +/- 0.03, N = 3SE +/- 0.02, N = 56.01.9
OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipEPYC 7713EPYC 7713 2P246810Min: 5.9 / Avg: 5.97 / Max: 6Min: 1.9 / Avg: 1.92 / Max: 2

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonEPYC 7713 2PEPYC 77131530456075SE +/- 0.62, N = 15SE +/- 0.07, N = 568.8862.98MIN: 62.6 / MAX: 74.57MIN: 61.69 / MAX: 65.06
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian DragonEPYC 7713 2PEPYC 77131326395265Min: 65.51 / Avg: 68.88 / Max: 72.47Min: 62.82 / Avg: 62.98 / Max: 63.2

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrownEPYC 7713 2PEPYC 771320406080100SE +/- 0.10, N = 6SE +/- 0.16, N = 489.6051.83MIN: 83.63 / MAX: 104.61MIN: 50.82 / MAX: 57.89
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: CrownEPYC 7713 2PEPYC 771320406080100Min: 89.43 / Avg: 89.6 / Max: 90.07Min: 51.64 / Avg: 51.83 / Max: 52.31

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7713 2PEPYC 77131530456075SE +/- 0.75, N = 15SE +/- 0.17, N = 467.1756.81MIN: 59.54 / MAX: 73.59MIN: 55.32 / MAX: 58.61
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian DragonEPYC 7713 2PEPYC 77131326395265Min: 62.38 / Avg: 67.17 / Max: 71.64Min: 56.34 / Avg: 56.81 / Max: 57.1

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownEPYC 7713 2PEPYC 771320406080100SE +/- 0.07, N = 6SE +/- 0.05, N = 482.9347.56MIN: 77.94 / MAX: 92.77MIN: 46.72 / MAX: 49.62
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: CrownEPYC 7713 2PEPYC 77131632486480Min: 82.71 / Avg: 82.93 / Max: 83.18Min: 47.43 / Avg: 47.56 / Max: 47.66

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.4Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P1428425670SE +/- 0.51, N = 15SE +/- 0.53, N = 1563.9057.041. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.4Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P1224364860Min: 59.72 / Avg: 63.9 / Max: 66.12Min: 52.39 / Avg: 57.04 / Max: 60.351. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.4Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P1530456075SE +/- 0.10, N = 5SE +/- 0.33, N = 565.4955.621. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.4Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P1326395265Min: 65.1 / Avg: 65.49 / Max: 65.63Min: 54.76 / Avg: 55.62 / Max: 56.361. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9 video format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P48121620SE +/- 0.08, N = 3SE +/- 0.37, N = 1515.8613.861. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.10.0Speed: Speed 5 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P48121620Min: 15.73 / Avg: 15.86 / Max: 16Min: 11.62 / Avg: 13.86 / Max: 15.791. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC 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 2.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7713 2PEPYC 77131224364860SE +/- 0.17, N = 5SE +/- 0.03, N = 454.2436.711. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 7713 2PEPYC 77131122334455Min: 53.78 / Avg: 54.24 / Max: 54.76Min: 36.63 / Avg: 36.71 / Max: 36.791. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7713 2PEPYC 77131326395265SE +/- 0.59, N = 6SE +/- 0.82, N = 1558.5256.531. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 7713 2PEPYC 77131224364860Min: 55.87 / Avg: 58.52 / Max: 59.88Min: 51.81 / Avg: 56.53 / Max: 60.241. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P4080120160200SE +/- 7.71, N = 15SE +/- 1.07, N = 7184.71179.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P306090120150Min: 76.91 / Avg: 184.71 / Max: 194.4Min: 174.72 / Avg: 179.55 / Max: 182.721. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P306090120150SE +/- 0.47, N = 7SE +/- 0.78, N = 6131.27123.811. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P20406080100Min: 128.79 / Avg: 131.27 / Max: 132.77Min: 121.01 / Avg: 123.81 / Max: 126.381. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P1632486480SE +/- 0.18, N = 5SE +/- 0.45, N = 570.7868.801. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P1428425670Min: 70.29 / Avg: 70.78 / Max: 71.33Min: 68.1 / Avg: 68.8 / Max: 70.491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KEPYC 7713 2PEPYC 771348121620SE +/- 0.14, N = 3SE +/- 0.01, N = 315.089.911. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KEPYC 7713 2PEPYC 771348121620Min: 14.89 / Avg: 15.08 / Max: 15.35Min: 9.9 / Avg: 9.91 / Max: 9.931. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

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 7713EPYC 7713 2P612182430SE +/- 0.03, N = 3SE +/- 0.26, N = 426.6921.481. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 7713EPYC 7713 2P612182430Min: 26.63 / Avg: 26.69 / Max: 26.75Min: 20.78 / Avg: 21.48 / Max: 22.061. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SVT-HEVC

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-HEVC CPU-based multi-threaded video encoder for the HEVC / H.265 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KEPYC 7713 2PEPYC 7713306090120150SE +/- 0.72, N = 6SE +/- 0.23, N = 7144.70137.741. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KEPYC 7713 2PEPYC 7713306090120150Min: 142.59 / Avg: 144.7 / Max: 147.38Min: 136.96 / Avg: 137.74 / Max: 138.571. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P50100150200250SE +/- 0.71, N = 9SE +/- 2.01, N = 15223.66195.621. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KEPYC 7713EPYC 7713 2P4080120160200Min: 219.3 / Avg: 223.66 / Max: 226.84Min: 183.26 / Avg: 195.62 / Max: 207.111. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomEPYC 7713EPYC 7713 2P0.2250.450.6750.91.125SE +/- 0.00, N = 3SE +/- 0.00, N = 3111. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomEPYC 7713EPYC 7713 2P246810Min: 1 / Avg: 1 / Max: 1Min: 1 / Avg: 1 / Max: 11. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetEPYC 7713EPYC 7713 2P0.98781.97562.96343.95124.939SE +/- 0.00, N = 3SE +/- 0.02, N = 34.394.391. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetEPYC 7713EPYC 7713 2P246810Min: 4.39 / Avg: 4.39 / Max: 4.4Min: 4.35 / Avg: 4.39 / Max: 4.411. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsEPYC 7713EPYC 7713 2P0.01170.02340.03510.04680.05850.0520.026

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsEPYC 7713EPYC 7713 2P0.86851.7372.60553.4744.3425SE +/- 0.01, N = 3SE +/- 0.00, N = 33.863.841. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsEPYC 7713EPYC 7713 2P246810Min: 3.84 / Avg: 3.86 / Max: 3.87Min: 3.84 / Avg: 3.84 / Max: 3.851. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: KostyaEPYC 7713EPYC 7713 2P0.00720.01440.02160.02880.0360.0320.018

OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDEPYC 7713EPYC 7713 2P0.01330.02660.03990.05320.06650.0590.030

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaEPYC 7713EPYC 7713 2P0.65251.3051.95752.613.2625SE +/- 0.00, N = 3SE +/- 0.00, N = 32.92.91. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaEPYC 7713EPYC 7713 2P246810Min: 2.9 / Avg: 2.9 / Max: 2.9Min: 2.9 / Avg: 2.9 / Max: 2.91. (CXX) g++ options: -O3

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDEPYC 7713 2PEPYC 77130.99451.9892.98353.9784.9725SE +/- 0.01, N = 3SE +/- 0.01, N = 34.424.401. (CXX) g++ options: -O3
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDEPYC 7713 2PEPYC 7713246810Min: 4.41 / Avg: 4.42 / Max: 4.43Min: 4.39 / Avg: 4.4 / Max: 4.411. (CXX) g++ options: -O3

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHigh Performance Conjugate Gradient 3.1EPYC 7713EPYC 7713 2P0.02070.04140.06210.08280.10350.0920.086

ACES DGEMM

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7713EPYC 7713 2P0.02770.05540.08310.11080.13850.1230.104

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

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 7713 2PEPYC 7713714212835SE +/- 0.29, N = 6SE +/- 0.08, N = 532.0720.881. (CC) gcc options: -O3 -march=native -fopenmp
OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 7713 2PEPYC 7713714212835Min: 30.95 / Avg: 32.07 / Max: 32.67Min: 20.7 / Avg: 20.88 / Max: 21.131. (CC) gcc options: -O3 -march=native -fopenmp

Xmrig

OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MEPYC 7713EPYC 7713 2P4080120160200182.74108.02

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MEPYC 7713 2PEPYC 771311K22K33K44K55KSE +/- 161.81, N = 3SE +/- 67.12, N = 350749.628612.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Monero - Hash Count: 1MEPYC 7713 2PEPYC 77139K18K27K36K45KMin: 50441.4 / Avg: 50749.6 / Max: 50989.2Min: 28538.8 / Avg: 28612.37 / Max: 28746.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MEPYC 7713 2PEPYC 77139K18K27K36K45KSE +/- 68.12, N = 3SE +/- 49.92, N = 341982.936467.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.12.1Variant: Wownero - Hash Count: 1MEPYC 7713 2PEPYC 77137K14K21K28K35KMin: 41855 / Avg: 41982.9 / Max: 42087.5Min: 36367.6 / Avg: 36467.2 / Max: 365231. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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 1.4.0Run: RT.hdr_alb_nrm.3840x2160EPYC 7713 2PEPYC 77130.50851.0171.52552.0342.5425SE +/- 0.00, N = 4SE +/- 0.00, N = 32.261.40
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.hdr_alb_nrm.3840x2160EPYC 7713 2PEPYC 7713246810Min: 2.25 / Avg: 2.26 / Max: 2.26Min: 1.4 / Avg: 1.4 / Max: 1.41

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160EPYC 7713 2PEPYC 77130.50851.0171.52552.0342.5425SE +/- 0.00, N = 4SE +/- 0.00, N = 32.261.41
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.4.0Run: RT.ldr_alb_nrm.3840x2160EPYC 7713 2PEPYC 7713246810Min: 2.26 / Avg: 2.26 / Max: 2.27Min: 1.41 / Avg: 1.41 / Max: 1.41

ONNX Runtime

OpenBenchmarking.orgInferences Per Minute Per Watt, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P163248648069.9032.83

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: 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: 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

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P150300450600750SE +/- 0.50, N = 3SE +/- 2.52, N = 37136681. (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: bertsquad-12 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P130260390520650Min: 712.5 / Avg: 713 / Max: 714Min: 665 / Avg: 668 / Max: 6731. (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: GPT-2 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P2K4K6K8K10KSE +/- 26.19, N = 3SE +/- 48.25, N = 3936878781. (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: GPT-2 - Device: CPU - Executor: StandardEPYC 7713EPYC 7713 2P16003200480064008000Min: 9336.5 / Avg: 9368 / Max: 9420Min: 7805 / Avg: 7877.67 / Max: 79691. (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 2P30060090012001500<