AMD EPYC 4124P CPU Review Benchmarks

Benchmarks preparing for a future article on Phoronix.com by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2405238-NE-MERGE298576
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C++ Boost Tests 4 Tests
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Timed Code Compilation 10 Tests
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  Test
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Xeon E-2488
April 01
  1 Day, 22 Hours, 13 Minutes
EPYC 4124P
May 20
  2 Days, 9 Hours, 21 Minutes
EPYC 4244P
May 12
  1 Day, 16 Hours, 20 Minutes
EPYC 4344P
May 08
  1 Day, 11 Hours, 13 Minutes
EPYC 4364P
April 28
  1 Day, 17 Hours, 57 Minutes
EPYC 4464P
May 17
  1 Day, 11 Hours, 26 Minutes
EPYC 4484PX
May 10
  1 Day, 14 Hours, 16 Minutes
EPYC 4564P
April 27
  1 Day, 8 Hours, 35 Minutes
EPYC 4584PX
May 15
  1 Day, 9 Hours, 50 Minutes
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  1 Day, 16 Hours, 8 Minutes

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AMD EPYC 4124P CPU Review BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsNetworkAudioOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionXeon E-2488EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXIntel Xeon E E-2488 @ 3.20GHz (8 Cores / 16 Threads)Supermicro Super Server X13SCL-F v0123456789 (1.1 BIOS)Intel Raptor Lake-S PCH2 x 32GB DRAM-4800MT/s Micron MTC20C2085S1EC48BA13201GB Micron_7450_MTFDKCC3T2TFS + 960GB Micron_7450_MTFDKBA960TFRASPEED2 x Intel I210Ubuntu 24.046.8.0-11-generic (x86_64)GNOME Shell 45.3X Server 1.21.1.11GCC 13.2.0ext41920x1080AMD EPYC 4124P 4-Core @ 5.17GHz (4 Cores / 8 Threads)Supermicro AS-3015A-I H13SAE-MF v1.00 (1.1 BIOS)AMD Device 14d82 x 32GB DRAM-5200MT/sAMD Rembrandt Radeon HD AudioAMD EPYC 4244P 6-Core @ 5.17GHz (6 Cores / 12 Threads)AMD EPYC 4344P 8-Core @ 5.39GHz (8 Cores / 16 Threads)AMD EPYC 4364P 8-Core @ 5.57GHz (8 Cores / 16 Threads)AMD EPYC 4464P 12-Core @ 5.48GHz (12 Cores / 24 Threads)AMD EPYC 4484PX 12-Core @ 5.66GHz (12 Cores / 24 Threads)AMD EPYC 4564P 16-Core @ 5.88GHz (16 Cores / 32 Threads)AMD EPYC 4584PX 16-Core @ 5.76GHz (16 Cores / 32 Threads)OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-fxIygj/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-fxIygj/gcc-13-13.2.0/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-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 Disk Details- Xeon E-2488: NONE / errors=remount-ro,relatime,rw,stripe=64 / Block Size: 4096Processor Details- Xeon E-2488: Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0x122 - Thermald 2.5.6- EPYC 4124P: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601203- EPYC 4244P: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601203- EPYC 4344P: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601203- EPYC 4364P: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601203- EPYC 4464P: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601203- EPYC 4484PX: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601203- EPYC 4564P: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601203- EPYC 4584PX: Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa601203Java Details- OpenJDK Runtime Environment (build 21.0.2+13-Ubuntu-2)Python Details- Python 3.12.2Security Details- Xeon E-2488: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected- EPYC 4124P: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 4244P: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 4344P: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 4364P: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 4464P: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 4484PX: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 4564P: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - EPYC 4584PX: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Xeon E-2488EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXResult OverviewPhoronix Test Suite100%197%295%392%490%ACES DGEMMPostgreSQLStockfishNAMDminiBUDEChaos Group V-RAYJava JMHBlenderAircrack-ngASTC EncoderLuxCoreRenderOpenSSLStress-NGEmbreeCpuminer-Optm-queensQuantLibCoremarkHelsingOSPRay StudioTimed Node.js CompilationPrimesieveJohn The RipperOpenVKLIntel Open Image DenoisenginxMemcachedOSPRayTimed LLVM CompilationBRL-CAD7-Zip CompressionTimed Linux Kernel CompilationParallel BZIP2 CompressionTimed Godot Game Engine CompilationSVT-HEVCRocksDBASKAPAppleseedTimed FFmpeg CompilationCockroachDBHeFFTe - Highly Efficient FFT for ExascaleSpeedbuvg266Timed Mesa CompilationSPECFEM3DTimed Gem5 CompilationGROMACSLAMMPS Molecular Dynamics SimulatorScyllaDBGraphicsMagickOpenVINOKvazaaroneDNNSVT-VP9JPEG-XL libjxllibavif avifencx265Y-CruncherDaCapo BenchmarkPennantSVT-AV1TensorFlowMariaDBTimed PHP CompilationZstd CompressionVVenCNAS Parallel BenchmarksOpenRadiossGPAWOpenFOAMTimed Wasmer CompilationCloverLeafDuckDBPyTorchXcompact3d Incompact3dONNX RuntimeApache IoTDBsrsRAN ProjectClickHouseLiquid-DSPPyBenchTimed CPython CompilationGoogle DracoFFmpegMariaDB mariadb-slapZ3 Theorem ProverNumpy BenchmarkGNU Octave Benchmark

Xeon E-2488EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXPer Watt Result OverviewPhoronix Test Suite100%163%225%288%350%NAMDminiBUDEJohn The RipperStockfish7-Zip CompressionJava JMHHeFFTe - Highly Efficient FFT for ExascaleEmbreeACES DGEMMASKAPCoremarkOpenSSLASTC EncoderChaos Group V-RAYSVT-HEVCnginxLuxCoreRenderStress-NGOpenVKLBRL-CADQuantLibuvg266Cpuminer-OptMemcachedIntel Open Image DenoiseOSPRayAircrack-ngNumpy BenchmarkRocksDBKvazaarClickHouseJPEG-XL libjxlSVT-VP9GROMACSSpeedbsrsRAN ProjectLAMMPS Molecular Dynamics Simulatorx265SVT-AV1TensorFlowNAS Parallel BenchmarksPyTorchLiquid-DSPCockroachDBGraphicsMagickScyllaDBMariaDB mariadb-slapFFmpegVVenCMariaDBP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.MP.W.G.M

AMD EPYC 4124P CPU Review Benchmarkspgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 800 - Read Only - Average Latencypgbench: 100 - 800 - Read Onlyjohn-the-ripper: WPA PSKluxcorerender: Danish Mood - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenssl: RSA4096srsran: PDSCH Processor Benchmark, Throughput Totalopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUluxcorerender: LuxCore Benchmark - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUospray-studio: 2 - 1080p - 16 - Path Tracer - CPUospray-studio: 3 - 1080p - 16 - Path Tracer - CPUjohn-the-ripper: MD5ospray-studio: 1 - 1080p - 16 - Path Tracer - CPUjohn-the-ripper: HMAC-SHA512namd: ATPase with 327,506 Atomsopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection Retail FP16 - CPUospray-studio: 3 - 1080p - 1 - Path Tracer - CPUospray-studio: 2 - 1080p - 1 - Path Tracer - CPUopenvino: Road Segmentation ADAS FP16 - CPUospray-studio: 1 - 1080p - 1 - Path Tracer - CPUstockfish: Chess Benchmarkcpuminer-opt: Quad SHA-256, Pyritestress-ng: Vector Floating Pointembree: Pathtracer ISPC - Crownopenvino: Machine Translation EN To DE FP16 - CPUospray-studio: 3 - 1080p - 32 - Path Tracer - CPUminibude: OpenMP - BM1minibude: OpenMP - BM1openvino: Vehicle Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUospray-studio: 2 - 1080p - 32 - Path Tracer - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUminibude: OpenMP - BM2minibude: OpenMP - BM2blender: Barbershop - CPU-Onlyospray-studio: 1 - 1080p - 32 - Path Tracer - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUblender: Pabellon Barcelona - CPU-Onlyv-ray: CPUjava-jmh: Throughputopenssl: ChaCha20openvino: Weld Porosity Detection FP16-INT8 - CPUopenssl: ChaCha20-Poly1305blender: Junkshop - CPU-Onlyastcenc: Thoroughopenvino: Face Detection FP16-INT8 - CPUastcenc: Mediumopenssl: AES-128-GCMopenssl: RSA4096blender: BMW27 - CPU-Onlyastcenc: Fastaircrack-ng: ospray: particle_volume/scivis/real_timeopenvino: Face Detection Retail FP16-INT8 - CPUcpuminer-opt: Triple SHA-256, Onecoinospray: particle_volume/ao/real_timestress-ng: Floating Pointblender: Fishy Cat - CPU-Onlyopenssl: AES-256-GCMastcenc: Very Thoroughospray: gravity_spheres_volume/dim_512/pathtracer/real_timeopenssl: SHA512cpuminer-opt: Skeincoinblender: Classroom - CPU-Onlyrocksdb: Read While Writingastcenc: Exhaustivesvt-hevc: 1 - Bosphorus 4Kcpuminer-opt: LBC, LBRY Creditsospray: gravity_spheres_volume/dim_512/ao/real_timedacapobench: Apache Tomcatstress-ng: Vector Shuffleopenssl: SHA256cpuminer-opt: Deepcoinospray: gravity_spheres_volume/dim_512/scivis/real_timesvt-hevc: 1 - Bosphorus 1080pcpuminer-opt: Blake-2 Sstress-ng: AVX-512 VNNIhelsing: 12 digitm-queens: Time To Solvecompress-7zip: Decompression Ratingspeedb: Rand Readcpuminer-opt: Magicpuminer-opt: Myriad-Groestlopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUquantlib: Multi-Threadedrocksdb: Rand Readcoremark: CoreMark Size 666 - Iterations Per Secondcpuminer-opt: Garlicoinembree: Pathtracer ISPC - Asian Dragon Objstress-ng: Wide Vector Mathjohn-the-ripper: Blowfishcpuminer-opt: Ringcoincpuminer-opt: scryptstress-ng: Fused Multiply-Addjohn-the-ripper: bcrypthelsing: 14 digitnamd: STMV with 1,066,628 Atomsembree: Pathtracer ISPC - Asian Dragonopenvino: Road Segmentation ADAS FP16-INT8 - CPUaskap: tConvolve OpenMP - Griddingnginx: 1000primesieve: 1e12build-nodejs: Time To Compileprimesieve: 1e13openvkl: vklBenchmarkCPU ISPCgraphics-magick: Sharpengraphics-magick: Enhancedbuild-linux-kernel: allmodconfigmemcached: 1:100build-llvm: Ninjaoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyuvg266: Bosphorus 4K - Mediumspeedb: Read While Writingappleseed: Disney Materialluxcorerender: DLSC - CPUopenvino: Vehicle Detection FP16-INT8 - CPUnginx: 500luxcorerender: Orange Juice - CPUgraphics-magick: Swirldacapobench: Zxing 1D/2D Barcode Image Processingtensorflow: CPU - 512 - AlexNetbrl-cad: VGR Performance Metricoidn: RTLightmap.hdr.4096x4096 - CPU-Onlynginx: 200appleseed: Emilyonednn: IP Shapes 1D - CPUmemcached: 1:10tensorflow: CPU - 256 - AlexNetcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionbuild-godot: Time To Compilesvt-hevc: 7 - Bosphorus 1080puvg266: Bosphorus 4K - Super Fastsvt-hevc: 7 - Bosphorus 4Kbuild-llvm: Unix Makefileskvazaar: Bosphorus 4K - Mediumonednn: Recurrent Neural Network Inference - CPUonednn: Recurrent Neural Network Training - CPUpgbench: 100 - 800 - Read Writepgbench: 100 - 800 - Read Write - Average Latencyuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Ultra Fastopenvino: Person Detection FP32 - CPUspecfem3d: Tomographic Modelopenvino: Person Detection FP16 - CPUbuild-linux-kernel: defconfigcompress-7zip: Compression Ratingbuild-ffmpeg: Time To Compilecockroach: KV, 95% Reads - 128specfem3d: Homogeneous Halfspaceaskap: tConvolve OpenMP - Degriddingjpegxl: PNG - 100openfoam: drivaerFastback, Small Mesh Size - Execution Timecockroach: KV, 60% Reads - 128onednn: Deconvolution Batch shapes_3d - CPUjpegxl: JPEG - 100cockroach: KV, 50% Reads - 128kvazaar: Bosphorus 4K - Super Fastpgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Write - Average Latencycompress-zstd: 8, Long Mode - Compression Speedbuild-mesa: Time To Compilex265: Bosphorus 4Kbuild-gem5: Time To Compilecompress-zstd: 8 - Compression Speedgromacs: MPI CPU - water_GMX50_baresvt-av1: Preset 8 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 1080pspecfem3d: Layered Halfspacespecfem3d: Mount St. Helenssvt-vp9: Visual Quality Optimized - Bosphorus 1080ponnx: super-resolution-10 - CPU - Parallelkvazaar: Bosphorus 4K - Very Fastluxcorerender: Rainbow Colors and Prism - CPUtensorflow: CPU - 64 - AlexNetuvg266: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 4K - Ultra Fastonednn: IP Shapes 3D - CPUsvt-vp9: Visual Quality Optimized - Bosphorus 4Kavifenc: 6appleseed: Material Testerscylladb: Writesspecfem3d: Water-layered Halfspaceliquid-dsp: 16 - 256 - 512uvg266: Bosphorus 1080p - Very Fastopenvino: Weld Porosity Detection FP16 - CPUnpb: EP.Cgraphics-magick: Noise-Gaussianlammps: Rhodopsin Proteinsvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080popenvino: Face Detection FP16 - CPUkvazaar: Bosphorus 1080p - Super Fastsvt-vp9: VMAF Optimized - Bosphorus 1080psvt-hevc: 10 - Bosphorus 4Kuvg266: Bosphorus 1080p - Mediumtensorflow: CPU - 32 - GoogLeNetuvg266: Bosphorus 1080p - Ultra Fastopenvino: Handwritten English Recognition FP16 - CPUavifenc: 0tensorflow: CPU - 64 - GoogLeNetnpb: SP.Bonnx: ArcFace ResNet-100 - CPU - Parallelopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUtensorflow: CPU - 512 - GoogLeNettensorflow: CPU - 256 - GoogLeNety-cruncher: 1Bsvt-av1: Preset 12 - Bosphorus 4Konednn: Deconvolution Batch shapes_1d - CPUkvazaar: Bosphorus 1080p - Very Fastopenvino: Machine Translation EN To DE FP16 - CPUkvazaar: Bosphorus 1080p - Mediumsvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Kmariadb: oltp_write_only - 64openradioss: INIVOL and Fluid Structure Interaction Drop Containertensorflow: CPU - 32 - AlexNetsvt-av1: Preset 4 - Bosphorus 4Krocksdb: Read Rand Write Randkvazaar: Bosphorus 1080p - Ultra Fastcompress-zstd: 12 - Compression Speedopenvino: Handwritten English Recognition FP16-INT8 - CPUpennant: leblancbigonnx: bertsquad-12 - CPU - Parallelgraphics-magick: Resizingy-cruncher: 500Mvvenc: Bosphorus 4K - Fastavifenc: 2svt-vp9: VMAF Optimized - Bosphorus 4Konnx: yolov4 - CPU - Parallelopenradioss: Bird Strike on Windshieldpennant: sedovbigavifenc: 6, Losslessopenvino: Vehicle Detection FP16 - CPUvvenc: Bosphorus 4K - Fasteronednn: Convolution Batch Shapes Auto - CPUmariadb: oltp_read_write - 64openvino: Road Segmentation ADAS FP16 - CPUsvt-av1: Preset 8 - Bosphorus 1080ponnx: ResNet50 v1-12-int8 - CPU - Paralleljpegxl: PNG - 90apache-iotdb: 800 - 100 - 800 - 400tensorflow: CPU - 512 - ResNet-50apache-iotdb: 800 - 100 - 800 - 400npb: BT.Capache-iotdb: 800 - 100 - 800 - 100liquid-dsp: 16 - 256 - 32build-php: Time To Compilejpegxl: JPEG - 90openvino: Person Vehicle Bike Detection FP16 - CPUonnx: CaffeNet 12-int8 - CPU - Paralleltensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - ResNet-50apache-iotdb: 800 - 100 - 800 - 100svt-av1: Preset 12 - Bosphorus 1080pspeedb: Read Rand Write Randospray: particle_volume/pathtracer/real_timemariadb: oltp_update_non_index - 64gpaw: Carbon Nanotubeincompact3d: input.i3d 129 Cells Per Directionopenvino: Face Detection FP16-INT8 - CPUvvenc: Bosphorus 1080p - Fastonnx: fcn-resnet101-11 - CPU - Parallelbuild-wasmer: Time To Compilex265: Bosphorus 1080ppytorch: CPU - 64 - ResNet-50dacapobench: H2 Database Enginesvt-av1: Preset 4 - Bosphorus 1080pcloverleaf: clover_bmmariadb: oltp_update_index - 64openradioss: Bumper Beamopenvino: Person Detection FP32 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Person Detection FP16 - CPUopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timevvenc: Bosphorus 1080p - Fasterduckdb: IMDBdacapobench: Apache Lucene Search Engineapache-iotdb: 800 - 100 - 500 - 100srsran: PUSCH Processor Benchmark, Throughput Totalapache-iotdb: 500 - 100 - 800 - 100npb: LU.Capache-iotdb: 800 - 100 - 500 - 100openfoam: drivaerFastback, Medium Mesh Size - Execution Timeapache-iotdb: 500 - 100 - 800 - 100clickhouse: 100M Rows Hits Dataset, Second Runopenradioss: Chrysler Neon 1Mapache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 500 - 400dacapobench: PMD Source Code Analyzerclickhouse: 100M Rows Hits Dataset, Third Runopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeclickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheapache-iotdb: 500 - 100 - 800 - 400pytorch: CPU - 1 - ResNet-50graphics-magick: HWB Color Spacebuild-python: Defaultnpb: SP.Ccompress-zstd: 19 - Compression Speedopenvino: Face Detection Retail FP16-INT8 - CPUincompact3d: input.i3d 193 Cells Per Directiontensorflow: CPU - 1 - GoogLeNetapache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 500 - 400compress-zstd: 19, Long Mode - Compression Speedonnx: T5 Encoder - CPU - Standardpybench: Total For Average Test Timesdraco: Church Facadetensorflow: CPU - 1 - ResNet-50openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUffmpeg: libx265 - Uploadonnx: T5 Encoder - CPU - Parallelopenvino: Weld Porosity Detection FP16-INT8 - CPUffmpeg: libx265 - Video On Demandffmpeg: libx265 - Platformmysqlslap: 128onnx: GPT-2 - CPU - Standardmysqlslap: 64z3: 2.smt2srsran: PDSCH Processor Benchmark, Throughput Threadffmpeg: libx265 - Liveonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: GPT-2 - CPU - Parallelliquid-dsp: 1 - 256 - 32renaissance: Savina Reactors.IObuild-python: Released Build, PGO + LTO Optimizednumpy: srsran: PUSCH Processor Benchmark, Throughput Threadoctave-benchmark: liquid-dsp: 1 - 256 - 512onnx: T5 Encoder - CPU - Parallelonnx: T5 Encoder - CPU - Standardonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: yolov4 - CPU - Parallelsvt-av1: Preset 13 - Bosphorus 4Kopenradioss: Cell Phone Drop Testopenradioss: Rubber O-Ring Seal Installationheffte: r2c - FFTW - double - 128heffte: r2c - FFTW - float - 128askap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddinglammps: 20k Atomsmt-dgemm: Sustained Floating-Point RateXeon E-2488EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 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PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.57441.14881.72322.29762.872SE +/- 0.025, N = 6SE +/- 0.014, N = 3SE +/- 0.009, N = 3SE +/- 0.012, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 32.5531.2070.9040.9610.5050.5130.3610.3600.8991. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488300K600K900K1200K1500KSE +/- 1920.28, N = 6SE +/- 4829.64, N = 3SE +/- 5619.73, N = 3SE +/- 6448.13, N = 3SE +/- 2177.66, N = 3SE +/- 2685.11, N = 3SE +/- 3948.07, N = 3SE +/- 3546.18, N = 3SE +/- 1617.01, N = 3195905414485553371520502990676974282138416613872545558731. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Only - Average LatencyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.9921.9842.9763.9684.96SE +/- 0.054, N = 4SE +/- 0.021, N = 9SE +/- 0.010, N = 3SE +/- 0.023, N = 3SE +/- 0.007, N = 3SE +/- 0.012, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 34.4092.5251.9292.0510.9610.9000.7220.6281.8521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488300K600K900K1200K1500KSE +/- 2208.37, N = 4SE +/- 2616.05, N = 9SE +/- 2047.43, N = 3SE +/- 4300.20, N = 3SE +/- 6188.19, N = 3SE +/- 11913.26, N = 3SE +/- 8757.92, N = 3SE +/- 4344.86, N = 3SE +/- 1154.98, N = 3181532317051414750390018832415889424110824312732944319621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830K60K90K120K150KSE +/- 49.33, N = 3SE +/- 52.29, N = 3SE +/- 166.40, N = 3SE +/- 221.78, N = 3SE +/- 646.01, N = 3SE +/- 115.44, N = 3SE +/- 425.10, N = 3SE +/- 585.52, N = 3SE +/- 135.70, N = 342600635668419785532112461120139160664155044295601. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.94051.8812.82153.7624.7025SE +/- 0.01, N = 4SE +/- 0.02, N = 5SE +/- 0.02, N = 3SE +/- 0.02, N = 11SE +/- 0.03, N = 3SE +/- 0.03, N = 5SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 150.811.462.082.102.772.814.184.151.45MIN: 0.17 / MAX: 1.12MIN: 0.38 / MAX: 1.85MIN: 0.66 / MAX: 2.47MIN: 0.64 / MAX: 2.54MIN: 0.99 / MAX: 3.25MIN: 1.01 / MAX: 3.32MIN: 1.81 / MAX: 4.75MIN: 1.74 / MAX: 4.72MIN: 0.39 / MAX: 1.82

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 2024.0Model: Weld Porosity Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 0.29, N = 3SE +/- 0.14, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3SE +/- 1.37, N = 3SE +/- 0.25, N = 3SE +/- 0.54, N = 3349.32531.48693.78723.13934.241005.381362.001326.24265.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.515.256.907.149.2410.0013.5213.192.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488160320480640800SE +/- 0.70, N = 3SE +/- 3.75, N = 3SE +/- 3.35, N = 3SE +/- 1.00, N = 3SE +/- 0.66, N = 3SE +/- 1.93, N = 3SE +/- 3.18, N = 3SE +/- 0.36, N = 3SE +/- 0.33, N = 3185.85272.46368.26392.23510.62559.88729.84731.48150.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883K6K9K12K15KSE +/- 5.33, N = 3SE +/- 3.91, N = 3SE +/- 2.72, N = 3SE +/- 2.36, N = 3SE +/- 3.17, N = 3SE +/- 14.97, N = 3SE +/- 5.90, N = 3SE +/- 2.41, N = 3SE +/- 28.09, N = 33738.55652.67335.27697.39585.510308.314289.713432.73000.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project 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.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883K6K9K12K15KSE +/- 3.81, N = 7SE +/- 13.19, N = 7SE +/- 11.93, N = 7SE +/- 38.56, N = 7SE +/- 22.68, N = 6SE +/- 99.73, N = 6SE +/- 51.53, N = 6SE +/- 68.24, N = 6SE +/- 5.11, N = 54054.66218.27583.77530.010640.89792.512852.613807.22908.5-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.11, N = 37.965.154.073.874.644.364.114.2818.22MIN: 4.52 / MAX: 22.42MIN: 3.03 / MAX: 14.81MIN: 2.41 / MAX: 9.33MIN: 2.38 / MAX: 13.89MIN: 2.6 / MAX: 15.94MIN: 2.55 / MAX: 15.23MIN: 2.45 / MAX: 41.27MIN: 2.63 / MAX: 16.2MIN: 10.36 / MAX: 177.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24887K14K21K28K35KSE +/- 7.10, N = 3SE +/- 1.45, N = 3SE +/- 12.32, N = 3SE +/- 8.32, N = 3SE +/- 16.45, N = 3SE +/- 16.68, N = 3SE +/- 16.51, N = 3SE +/- 29.98, N = 3SE +/- 31.71, N = 39649.2314005.4618120.3818615.1223774.8825279.9734815.3933111.827499.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881.04632.09263.13894.18525.2315SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.011.682.332.413.123.124.654.551.69MIN: 0.25 / MAX: 1.3MIN: 0.5 / MAX: 2.06MIN: 0.78 / MAX: 2.76MIN: 0.82 / MAX: 2.85MIN: 1.19 / MAX: 3.62MIN: 1.17 / MAX: 3.62MIN: 2.03 / MAX: 5.27MIN: 1.97 / MAX: 5.16MIN: 0.51 / MAX: 2.04

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 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 0.15, N = 3SE +/- 1.40, N = 3SE +/- 0.81, N = 3SE +/- 0.59, N = 3SE +/- 0.61, N = 3SE +/- 1.97, N = 3SE +/- 1.22, N = 3SE +/- 0.33, N = 3SE +/- 0.45, N = 3179.64301.93395.19417.64541.92589.77795.05776.84174.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820K40K60K80K100KSE +/- 134.02, N = 3SE +/- 199.64, N = 3SE +/- 87.29, N = 3SE +/- 127.68, N = 3SE +/- 39.63, N = 3SE +/- 293.34, N = 3SE +/- 19.75, N = 3SE +/- 3.84, N = 3SE +/- 172.31, N = 3779075033938690379002497225530172851844242275

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820K40K60K80K100KSE +/- 186.30, N = 3SE +/- 91.50, N = 3SE +/- 85.35, N = 3SE +/- 62.68, N = 3SE +/- 102.05, N = 3SE +/- 529.04, N = 15SE +/- 29.87, N = 3SE +/- 45.16, N = 3SE +/- 115.84, N = 3908855844244674438303296831116202832151748929

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488900K1800K2700K3600K4500KSE +/- 151.74, N = 3SE +/- 17071.74, N = 3SE +/- 666.67, N = 3SE +/- 7423.69, N = 3SE +/- 8082.90, N = 3SE +/- 333.33, N = 3SE +/- 11590.23, N = 3SE +/- 17559.42, N = 3SE +/- 2504.83, N = 398609415683332219333223433328070003030333411800038250009197911. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248816K32K48K64K80KSE +/- 181.95, N = 3SE +/- 80.90, N = 3SE +/- 55.41, N = 3SE +/- 43.80, N = 3SE +/- 16.70, N = 3SE +/- 280.33, N = 3SE +/- 33.74, N = 3SE +/- 12.67, N = 3SE +/- 112.38, N = 3763795005538334374582471925186171161746041514

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: HMAC-SHA512EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248840M80M120M160M200MSE +/- 38480.88, N = 3SE +/- 24875.24, N = 3SE +/- 110045.95, N = 3SE +/- 411753.30, N = 3SE +/- 1126651.23, N = 3SE +/- 58043.09, N = 3SE +/- 580393.26, N = 3SE +/- 243467.31, N = 3SE +/- 518797.01, N = 36079866789217667117072667116770333136344000144557000181331000170908000407210001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

NAMD

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

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: ATPase with 327,506 AtomsEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.65521.31041.96562.62083.276SE +/- 0.00275, N = 3SE +/- 0.00340, N = 3SE +/- 0.00076, N = 3SE +/- 0.00212, N = 3SE +/- 0.00983, N = 3SE +/- 0.01721, N = 15SE +/- 0.03311, N = 4SE +/- 0.00837, N = 3SE +/- 0.00164, N = 30.896781.319211.691201.737642.205600.654252.788462.911830.65977

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 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488400800120016002000SE +/- 0.38, N = 3SE +/- 0.80, N = 3SE +/- 1.30, N = 3SE +/- 0.99, N = 3SE +/- 0.33, N = 3SE +/- 1.33, N = 3SE +/- 0.22, N = 3SE +/- 0.50, N = 3SE +/- 2.58, N = 3500.05773.96978.601029.881286.311372.191938.321863.36437.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 0.62, N = 3SE +/- 2.00, N = 3SE +/- 0.47, N = 3SE +/- 1.08, N = 3SE +/- 0.50, N = 3SE +/- 1.18, N = 3SE +/- 2.53, N = 3SE +/- 2.08, N = 3SE +/- 0.14, N = 3228.81364.22436.41472.57681.13772.21701.841011.61249.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 34.532.982.372.212.702.622.372.519.76MIN: 2.48 / MAX: 9.87MIN: 1.64 / MAX: 9.56MIN: 1.25 / MAX: 6.4MIN: 1.23 / MAX: 13.12MIN: 1.33 / MAX: 14.55MIN: 1.36 / MAX: 13.53MIN: 1.27 / MAX: 12.75MIN: 1.32 / MAX: 13.29MIN: 4.34 / MAX: 46.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248812002400360048006000SE +/- 0.33, N = 3SE +/- 5.49, N = 3SE +/- 2.52, N = 3SE +/- 4.04, N = 3SE +/- 3.18, N = 3SE +/- 2.33, N = 3SE +/- 0.33, N = 3SE +/- 15.53, N = 4SE +/- 0.88, N = 3547234302575252618311898126513192884

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000SE +/- 7.84, N = 3SE +/- 3.28, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 9.29, N = 3SE +/- 2.08, N = 3SE +/- 0.58, N = 3SE +/- 2.33, N = 3466229302201215615621589108011552474

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 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890180270360450SE +/- 0.63, N = 3SE +/- 0.31, N = 3SE +/- 0.84, N = 3SE +/- 1.10, N = 3SE +/- 0.76, N = 3SE +/- 1.33, N = 3SE +/- 0.46, N = 3SE +/- 1.74, N = 3SE +/- 0.22, N = 3107.08146.62171.63224.43304.22337.45317.25435.77101.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000SE +/- 8.25, N = 3SE +/- 1.45, N = 3SE +/- 1.86, N = 3SE +/- 1.76, N = 3SE +/- 1.45, N = 3SE +/- 16.15, N = 3SE +/- 1.00, N = 3SE +/- 1.53, N = 3SE +/- 0.88, N = 3458428992176213315541590106911402441

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 1024 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810M20M30M40M50MSE +/- 100541.00, N = 15SE +/- 169306.09, N = 3SE +/- 191557.41, N = 3SE +/- 160295.89, N = 3SE +/- 353999.00, N = 15SE +/- 379095.21, N = 4SE +/- 574948.55, N = 15SE +/- 611568.23, N = 15SE +/- 121681.53, N = 15106224851661451721844343231438582977218333453729442708584554256016898291-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -funroll-loops -msse -msse3 -mpopcnt -mavx2 -mbmi -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Quad SHA-256, PyriteEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248813K26K39K52K65KSE +/- 143.80, N = 3SE +/- 58.59, N = 3SE +/- 38.44, N = 3SE +/- 78.81, N = 3SE +/- 3.33, N = 3SE +/- 26.67, N = 3SE +/- 331.71, N = 3SE +/- 454.25, N = 3SE +/- 3.33, N = 31444720720322933190342507451976136060067265271. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Floating PointEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248813K26K39K52K65KSE +/- 17.31, N = 3SE +/- 108.35, N = 3SE +/- 129.67, N = 3SE +/- 415.80, N = 3SE +/- 284.33, N = 3SE +/- 59.97, N = 3SE +/- 261.75, N = 3SE +/- 280.00, N = 3SE +/- 378.33, N = 314008.6420773.7028866.8830936.5041241.4541113.8559037.1456703.0628846.061. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) 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 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488714212835SE +/- 0.0041, N = 3SE +/- 0.0104, N = 3SE +/- 0.0091, N = 3SE +/- 0.0298, N = 3SE +/- 0.0059, N = 3SE +/- 0.0256, N = 3SE +/- 0.0172, N = 3SE +/- 0.0431, N = 3SE +/- 0.0081, N = 37.838312.334716.091616.462521.989622.570131.365832.177513.3883MIN: 7.77 / MAX: 8.03MIN: 12.21 / MAX: 12.61MIN: 15.93 / MAX: 16.53MIN: 16.24 / MAX: 16.97MIN: 21.74 / MAX: 22.75MIN: 22.22 / MAX: 23.17MIN: 30.96 / MAX: 32.3MIN: 31.73 / MAX: 33MIN: 13.27 / MAX: 16.49

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 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.49, N = 4SE +/- 0.39, N = 3SE +/- 0.34, N = 3SE +/- 0.17, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 344.2763.1574.7982.80102.35105.20136.73138.5033.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248840K80K120K160K200KSE +/- 162.34, N = 3SE +/- 16.70, N = 3SE +/- 185.23, N = 3SE +/- 273.73, N = 3SE +/- 30.37, N = 3SE +/- 84.90, N = 3SE +/- 101.69, N = 3SE +/- 195.52, N = 3SE +/- 76.92, N = 317773511350185743842096193764689442474690495447

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881122334455SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.26, N = 3SE +/- 0.03, N = 4SE +/- 0.17, N = 4SE +/- 0.06, N = 312.9119.0925.8526.2934.6030.6849.9548.8212.451. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 2.56, N = 3SE +/- 2.41, N = 3SE +/- 6.54, N = 3SE +/- 0.84, N = 4SE +/- 4.13, N = 4SE +/- 1.56, N = 3322.86477.36646.26657.35864.96766.921248.811220.53311.311. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488400800120016002000SE +/- 0.52, N = 3SE +/- 1.34, N = 3SE +/- 2.16, N = 3SE +/- 0.43, N = 3SE +/- 0.37, N = 3SE +/- 1.23, N = 3SE +/- 1.19, N = 3SE +/- 0.49, N = 3SE +/- 1.52, N = 3412.37644.50838.46879.501120.771191.721653.691588.30500.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24887001400210028003500SE +/- 2.00, N = 3SE +/- 3.43, N = 3SE +/- 1.26, N = 3SE +/- 0.66, N = 3SE +/- 0.82, N = 3SE +/- 2.38, N = 3SE +/- 6.25, N = 3SE +/- 1.96, N = 3SE +/- 1.96, N = 3879.051330.811659.061781.622184.942254.383269.123099.90816.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830K60K90K120K150KSE +/- 575.91, N = 3SE +/- 222.81, N = 3SE +/- 84.09, N = 3SE +/- 152.10, N = 3SE +/- 126.62, N = 3SE +/- 95.50, N = 3SE +/- 61.02, N = 3SE +/- 140.94, N = 3SE +/- 34.91, N = 31521879730773858722505372654202381923908982403

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 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 0.95, N = 3SE +/- 2.84, N = 3SE +/- 5.03, N = 3SE +/- 0.80, N = 3SE +/- 0.91, N = 3SE +/- 5.46, N = 3SE +/- 2.52, N = 3SE +/- 2.21, N = 3SE +/- 0.87, N = 3391.89603.92790.63833.731059.991124.061556.071560.99401.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

miniBUDE

MiniBUDE is a mini application for the the core computation of the Bristol University Docking Engine (BUDE). This test profile currently makes use of the OpenMP implementation of miniBUDE for CPU benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.58, N = 3SE +/- 0.75, N = 3SE +/- 1.54, N = 3SE +/- 2.18, N = 3SE +/- 0.15, N = 3323.42478.87647.13658.93866.23868.471249.621240.06313.741. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881122334455SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 312.9419.1625.8926.3634.6534.7449.9949.6012.551. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488400800120016002000SE +/- 1.15, N = 3SE +/- 0.31, N = 3SE +/- 1.01, N = 3SE +/- 0.87, N = 3SE +/- 0.89, N = 3SE +/- 0.50, N = 3SE +/- 0.46, N = 3SE +/- 0.24, N = 3SE +/- 4.06, N = 31914.771244.70942.29925.38697.15680.74481.15481.391281.54

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830K60K90K120K150KSE +/- 101.66, N = 3SE +/- 217.15, N = 3SE +/- 106.16, N = 3SE +/- 145.56, N = 3SE +/- 35.09, N = 3SE +/- 40.93, N = 3SE +/- 168.15, N = 3SE +/- 55.84, N = 3SE +/- 135.20, N = 31499149602372930715305287253426379234014281236

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 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488400800120016002000SE +/- 0.42, N = 3SE +/- 1.27, N = 3SE +/- 1.25, N = 3SE +/- 0.86, N = 3SE +/- 0.77, N = 3SE +/- 1.93, N = 3SE +/- 1.23, N = 3SE +/- 2.01, N = 3SE +/- 1.17, N = 3479.34697.69890.99991.321274.271465.711587.741882.34523.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488140280420560700SE +/- 0.83, N = 3SE +/- 0.44, N = 3SE +/- 0.34, N = 3SE +/- 0.40, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 1.05, N = 3648.21421.36323.68315.13242.01236.28165.35168.04411.15

Chaos Group V-RAY

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

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24889K18K27K36K45KSE +/- 5.33, N = 3SE +/- 50.00, N = 3SE +/- 22.00, N = 3SE +/- 11.00, N = 3SE +/- 61.57, N = 3SE +/- 54.69, N = 3SE +/- 204.38, N = 3SE +/- 96.96, N = 3SE +/- 16.84, N = 3112381727322505230783088531399438794376720060

Java JMH

This very basic test profile runs the stock benchmark of the Java JMH benchmark via Maven. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/s, More Is BetterJava JMHThroughputEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248816000M32000M48000M64000M80000M19260371856.7328953646655.5138412521187.6938776376503.4754316120272.1051157401824.3675134161573.0466629443540.8736765943472.27

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 3.3Algorithm: ChaCha20EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830000M60000M90000M120000M150000MSE +/- 18396330.78, N = 3SE +/- 41193652.45, N = 3SE +/- 10772886.17, N = 3SE +/- 32786296.71, N = 3SE +/- 14660801.77, N = 3SE +/- 26095977.93, N = 3SE +/- 13732325.68, N = 3SE +/- 45400804.32, N = 3SE +/- 7700475.42, N = 3332919966404970717484366572774607683661088109272516116796712227500129853526473127857290350346518558001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24886001200180024003000SE +/- 0.30, N = 3SE +/- 0.80, N = 3SE +/- 0.44, N = 3SE +/- 0.60, N = 3SE +/- 0.27, N = 3SE +/- 1.19, N = 3SE +/- 4.11, N = 3SE +/- 0.50, N = 3SE +/- 2.31, N = 3686.871040.151356.641417.331835.781936.552672.512563.791022.101. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 3.3Algorithm: ChaCha20-Poly1305EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820000M40000M60000M80000M100000MSE +/- 35385699.13, N = 3SE +/- 14961656.63, N = 3SE +/- 18319786.28, N = 3SE +/- 11858939.41, N = 3SE +/- 17029222.81, N = 3SE +/- 21541900.76, N = 3SE +/- 63328398.60, N = 3SE +/- 37115945.76, N = 3SE +/- 5622113.45, N = 32368605898735429817183472542301734854273966365832975290685504884279212962215090686450103238002630201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860120180240300SE +/- 0.62, N = 3SE +/- 0.25, N = 3SE +/- 0.48, N = 3SE +/- 0.43, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 3282.78186.24141.77139.48103.25101.1972.7572.78173.17

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488510152025SE +/- 0.0100, N = 3SE +/- 0.0018, N = 3SE +/- 0.0050, N = 3SE +/- 0.0128, N = 3SE +/- 0.0021, N = 3SE +/- 0.0127, N = 3SE +/- 0.0627, N = 3SE +/- 0.0075, N = 3SE +/- 0.3204, N = 125.12067.51369.867410.208913.295313.172419.903818.617512.23071. (CXX) g++ options: -O3 -flto -pthread

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 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488612182430SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 36.8110.1713.3613.9718.0919.1226.4625.5410.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.18, N = 5SE +/- 0.06, N = 5SE +/- 0.00, N = 339.8658.0876.0179.60101.80101.61154.72143.3089.141. (CXX) g++ options: -O3 -flto -pthread

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 3.3Algorithm: AES-128-GCMEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850000M100000M150000M200000M250000MSE +/- 11806687.23, N = 3SE +/- 30766844.46, N = 3SE +/- 18100529.72, N = 3SE +/- 48206635.82, N = 3SE +/- 82240254.30, N = 3SE +/- 100195492.71, N = 3SE +/- 197196146.33, N = 3SE +/- 834503022.99, N = 3SE +/- 45687236.99, N = 36597453469098225529560129046626940133134074673176018765593187736505370251224402513246764339927648127256801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248880K160K240K320K400KSE +/- 24.26, N = 3SE +/- 34.43, N = 3SE +/- 13.93, N = 3SE +/- 20.61, N = 3SE +/- 313.76, N = 3SE +/- 923.26, N = 3SE +/- 143.01, N = 3SE +/- 494.21, N = 3SE +/- 1626.68, N = 396458.7144386.1190537.1194210.3270736.0274041.4373632.3363062.6195618.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250SE +/- 0.26, N = 3SE +/- 0.46, N = 3SE +/- 0.10, N = 3SE +/- 0.33, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 3206.18136.83104.74101.7278.0976.3953.2554.64123.51

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890180270360450SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.39, N = 3SE +/- 0.29, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.54, N = 4SE +/- 0.31, N = 4SE +/- 0.04, N = 3101.37147.48192.66203.10258.38259.01392.24365.32205.931. (CXX) g++ options: -O3 -flto -pthread

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820K40K60K80K100KSE +/- 2.21, N = 3SE +/- 28.81, N = 3SE +/- 20.41, N = 3SE +/- 45.75, N = 3SE +/- 7.31, N = 3SE +/- 41.76, N = 3SE +/- 153.97, N = 3SE +/- 75.15, N = 3SE +/- 17.95, N = 323895.2835520.7346525.7848527.8262286.2067324.6892259.9588626.4535441.711. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.00090, N = 3SE +/- 0.00497, N = 3SE +/- 0.00135, N = 3SE +/- 0.00347, N = 3SE +/- 0.00310, N = 3SE +/- 0.00208, N = 3SE +/- 0.00296, N = 3SE +/- 0.00215, N = 3SE +/- 0.00749, N = 32.331763.447684.516504.618716.238006.056598.981958.499455.88640

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 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000SE +/- 4.76, N = 3SE +/- 0.53, N = 3SE +/- 2.13, N = 3SE +/- 1.63, N = 3SE +/- 1.50, N = 3SE +/- 2.70, N = 3SE +/- 1.99, N = 3SE +/- 3.97, N = 3SE +/- 3.53, N = 31232.021804.902329.232495.553221.203338.384734.274486.581559.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Triple SHA-256, OnecoinEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820K40K60K80K100KSE +/- 166.77, N = 3SE +/- 11.55, N = 3SE +/- 25.17, N = 3SE +/- 8.82, N = 3SE +/- 72.11, N = 3SE +/- 188.09, N = 3SE +/- 146.40, N = 3SE +/- 20.82, N = 3SE +/- 3.33, N = 32533732710499005108767820715179734093970388471. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.00263, N = 3SE +/- 0.00096, N = 3SE +/- 0.00247, N = 3SE +/- 0.00129, N = 3SE +/- 0.00160, N = 3SE +/- 0.00892, N = 3SE +/- 0.00600, N = 3SE +/- 0.00180, N = 3SE +/- 0.00839, N = 32.339073.455774.525524.638286.254186.068958.983998.498695.93161

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Floating PointEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882K4K6K8K10KSE +/- 1.85, N = 3SE +/- 1.77, N = 3SE +/- 0.05, N = 3SE +/- 6.00, N = 3SE +/- 1.22, N = 3SE +/- 2.90, N = 3SE +/- 15.20, N = 3SE +/- 8.85, N = 3SE +/- 7.41, N = 32137.333175.544192.474251.395850.595977.768199.657928.204740.281. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860120180240300SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.39, N = 3SE +/- 0.16, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.24, N = 3256.10170.00130.42127.0197.8495.4466.7867.99165.00

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 3.3Algorithm: AES-256-GCMEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850000M100000M150000M200000M250000MSE +/- 6624573.52, N = 3SE +/- 23525395.17, N = 3SE +/- 28146850.41, N = 3SE +/- 101608115.02, N = 3SE +/- 10292339.65, N = 3SE +/- 51787792.79, N = 3SE +/- 27189836.88, N = 3SE +/- 124036322.98, N = 3SE +/- 5611535.27, N = 35629176955084060321200110425587253113941258877151313824427160618441203215336847677211726656087561932491901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.60391.20781.81172.41563.0195SE +/- 0.0007, N = 3SE +/- 0.0004, N = 3SE +/- 0.0004, N = 3SE +/- 0.0010, N = 3SE +/- 0.0009, N = 3SE +/- 0.0004, N = 3SE +/- 0.0093, N = 3SE +/- 0.0008, N = 3SE +/- 0.0116, N = 30.70141.03271.35631.39791.83271.81642.68412.56361.46391. (CXX) g++ options: -O3 -flto -pthread

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.00113, N = 3SE +/- 0.00315, N = 3SE +/- 0.00576, N = 3SE +/- 0.00236, N = 3SE +/- 0.00517, N = 3SE +/- 0.00278, N = 3SE +/- 0.00353, N = 3SE +/- 0.00316, N = 3SE +/- 0.00822, N = 32.347263.496994.572224.667576.316056.091488.978138.668323.79539

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 3.3Algorithm: SHA512EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882000M4000M6000M8000M10000MSE +/- 3598429.85, N = 3SE +/- 432194.03, N = 3SE +/- 485369.37, N = 3SE +/- 749962.39, N = 3SE +/- 1960683.64, N = 3SE +/- 7000138.46, N = 3SE +/- 2951460.39, N = 3SE +/- 5901271.36, N = 3SE +/- 2787035.99, N = 3288741615742752754605644357583579440530778147859708052051307110415799231066335681344293971601. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: SkeincoinEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24887K14K21K28K35KSE +/- 5.33, N = 3SE +/- 11.55, N = 3SE +/- 11.55, N = 3SE +/- 39.30, N = 3SE +/- 42.56, N = 3SE +/- 134.45, N = 3SE +/- 11.55, N = 3SE +/- 8.82, N = 3SE +/- 139.08, N = 39066.9013390.0017580.0017983.0024937.0025583.0034640.0033693.0013933.001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488110220330440550SE +/- 0.71, N = 3SE +/- 0.40, N = 3SE +/- 0.28, N = 3SE +/- 0.07, N = 3SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.33, N = 3SE +/- 1.57, N = 3519.82351.06267.86259.46199.31197.38136.11139.57336.94

RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read While WritingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488900K1800K2700K3600K4500KSE +/- 3157.59, N = 3SE +/- 20912.63, N = 3SE +/- 6544.07, N = 3SE +/- 22460.23, N = 3SE +/- 10561.84, N = 3SE +/- 24911.17, N = 3SE +/- 7045.87, N = 3SE +/- 23577.88, N = 3SE +/- 3646.67, N = 31135261186552124898542519594313093430036164294631433459319427601. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.36880.73761.10641.47521.844SE +/- 0.0002, N = 3SE +/- 0.0004, N = 3SE +/- 0.0003, N = 3SE +/- 0.0000, N = 3SE +/- 0.0001, N = 3SE +/- 0.0003, N = 3SE +/- 0.0020, N = 3SE +/- 0.0003, N = 3SE +/- 0.0051, N = 30.42940.63300.83130.85571.12371.11431.63911.57060.87411. (CXX) g++ options: -O3 -flto -pthread

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 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881.3052.613.9155.226.525SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.522.252.943.043.963.995.805.632.261. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: LBC, LBRY CreditsEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883K6K9K12K15KSE +/- 2.03, N = 3SE +/- 2.97, N = 3SE +/- 27.28, N = 3SE +/- 7.26, N = 3SE +/- 3.33, N = 3SE +/- 3.33, N = 3SE +/- 5.77, N = 3SE +/- 106.67, N = 3SE +/- 15.18, N = 34228.176265.108323.698389.1511623.0011867.0016120.0015777.006037.261. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.00310, N = 3SE +/- 0.00463, N = 3SE +/- 0.00148, N = 3SE +/- 0.00682, N = 3SE +/- 0.00993, N = 3SE +/- 0.01719, N = 3SE +/- 0.00259, N = 3SE +/- 0.03021, N = 3SE +/- 0.00479, N = 31.958622.950103.816913.910705.347535.185707.466497.307482.73496

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache TomcatEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883K6K9K12K15KSE +/- 11.72, N = 3SE +/- 4.16, N = 3SE +/- 6.08, N = 3SE +/- 9.21, N = 3SE +/- 4.80, N = 4SE +/- 5.15, N = 4SE +/- 2.95, N = 4SE +/- 2.87, N = 4SE +/- 14.71, N = 31284086286485648244414459337033846687

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector ShuffleEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884K8K12K16K20KSE +/- 1.14, N = 3SE +/- 3.05, N = 3SE +/- 1.05, N = 3SE +/- 2.63, N = 3SE +/- 1.99, N = 3SE +/- 4.46, N = 3SE +/- 12.57, N = 3SE +/- 37.39, N = 3SE +/- 104.90, N = 34319.586403.878468.868556.7211892.6912180.8016452.4716010.749138.291. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

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 3.3Algorithm: SHA256EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24887000M14000M21000M28000M35000MSE +/- 10799214.46, N = 3SE +/- 4935253.44, N = 3SE +/- 7769960.49, N = 3SE +/- 8102567.82, N = 3SE +/- 5636428.54, N = 3SE +/- 9363717.55, N = 3SE +/- 7892274.19, N = 3SE +/- 8957910.25, N = 3SE +/- 27097230.48, N = 3892846300713220736913174027128101787635833723876211613246938223433398965227332913806810123365572631. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: DeepcoinEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882K4K6K8K10KSE +/- 1.80, N = 3SE +/- 1.04, N = 3SE +/- 1.63, N = 3SE +/- 3.02, N = 3SE +/- 7.14, N = 3SE +/- 23.29, N = 3SE +/- 5.77, N = 3SE +/- 18.11, N = 3SE +/- 36.27, N = 32205.103247.544280.914377.745939.526229.268356.748225.263294.491. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.00828, N = 3SE +/- 0.01153, N = 3SE +/- 0.01618, N = 3SE +/- 0.00260, N = 3SE +/- 0.01288, N = 3SE +/- 0.01525, N = 3SE +/- 0.02548, N = 3SE +/- 0.00808, N = 3SE +/- 0.00622, N = 31.945042.919513.794883.821385.273335.105897.369097.144702.63851

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 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488612182430SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 36.119.1211.9012.2815.7115.8923.1022.119.161. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Blake-2 SEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830K60K90K120K150KSE +/- 28.87, N = 3SE +/- 30.00, N = 3SE +/- 20.82, N = 3SE +/- 29.06, N = 3SE +/- 103.98, N = 3SE +/- 40.41, N = 3SE +/- 99.39, N = 3SE +/- 41.77, N = 3SE +/- 460.90, N = 337810538707313074513100853106790142753140467561601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: AVX-512 VNNIEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488600K1200K1800K2400K3000KSE +/- 94.80, N = 3SE +/- 655.92, N = 3SE +/- 340.15, N = 3SE +/- 1225.91, N = 3SE +/- 97.63, N = 3SE +/- 1104.16, N = 3SE +/- 2539.18, N = 3SE +/- 5242.51, N = 3SE +/- 5501.16, N = 3681157.031008567.361315000.021371242.641758023.971909466.062571394.822511125.721125583.011. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

Helsing

Helsing is an open-source POSIX vampire number generator. This test profile measures the time it takes to generate vampire numbers between varying numbers of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 12 digitEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.016, N = 6SE +/- 0.002, N = 7SE +/- 0.003, N = 8SE +/- 0.004, N = 8SE +/- 0.003, N = 9SE +/- 0.003, N = 10SE +/- 0.003, N = 11SE +/- 0.003, N = 11SE +/- 0.028, N = 157.6095.1783.9663.8283.0042.7712.0162.1174.0801. (CC) gcc options: -O2 -pthread

m-queens

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

OpenBenchmarking.orgSeconds, Fewer Is Betterm-queens 1.2Time To SolveEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.62, N = 3105.3071.9854.3953.5039.6540.4227.9128.5372.851. (CXX) g++ options: -fopenmp -O2 -march=native

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248840K80K120K160K200KSE +/- 61.13, N = 3SE +/- 31.18, N = 3SE +/- 107.68, N = 3SE +/- 299.70, N = 3SE +/- 184.46, N = 3SE +/- 503.79, N = 3SE +/- 369.09, N = 3SE +/- 83.27, N = 3SE +/- 900.25, N = 345189678688840988945118507107137170373167201615271. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random ReadEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830M60M90M120M150MSE +/- 186103.10, N = 3SE +/- 43642.52, N = 3SE +/- 63522.73, N = 3SE +/- 34435.41, N = 3SE +/- 36870.14, N = 3SE +/- 202059.67, N = 3SE +/- 286737.26, N = 3SE +/- 806005.16, N = 3SE +/- 170759.02, N = 3358293005314637269443011716486839475027992006421134971626132843992578244261. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: MagiEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488140280420560700SE +/- 1.24, N = 3SE +/- 1.33, N = 3SE +/- 2.02, N = 3SE +/- 0.30, N = 3SE +/- 0.16, N = 3SE +/- 0.52, N = 3SE +/- 0.26, N = 3SE +/- 0.22, N = 3SE +/- 0.39, N = 3168.37248.85328.70330.62453.87469.54633.44617.79278.091. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Myriad-GroestlEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882K4K6K8K10KSE +/- 0.25, N = 3SE +/- 8.61, N = 3SE +/- 3.31, N = 3SE +/- 6.11, N = 3SE +/- 39.39, N = 3SE +/- 5.30, N = 3SE +/- 13.33, N = 3SE +/- 3.33, N = 3SE +/- 30.23, N = 33016.704487.285929.565972.098184.448480.4411337.0011207.004843.721. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248811K22K33K44K55KSE +/- 57.65, N = 3SE +/- 103.84, N = 3SE +/- 5.77, N = 3SE +/- 19.90, N = 3SE +/- 68.04, N = 3SE +/- 42.38, N = 3SE +/- 47.80, N = 3SE +/- 32.19, N = 3SE +/- 38.88, N = 313170.1217920.7525613.2926230.8533784.7435169.3149485.3546506.7518507.311. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

QuantLib

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

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820K40K60K80K100KSE +/- 39.28, N = 3SE +/- 41.80, N = 3SE +/- 12.44, N = 3SE +/- 49.82, N = 3SE +/- 164.89, N = 3SE +/- 315.31, N = 3SE +/- 169.22, N = 3SE +/- 255.88, N = 3SE +/- 294.52, N = 322228.032626.842668.643490.756873.257419.483365.180769.437214.41. (CXX) g++ options: -O3 -march=native -fPIE -pie

RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830M60M90M120M150MSE +/- 11708.73, N = 3SE +/- 45665.92, N = 3SE +/- 68428.53, N = 3SE +/- 144351.01, N = 3SE +/- 74109.11, N = 3SE +/- 342211.57, N = 3SE +/- 780691.20, N = 3SE +/- 276158.53, N = 3SE +/- 236765.68, N = 3348856335133414667959360694082549172694289195028130693063130006737475122601. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488200K400K600K800K1000KSE +/- 165.60, N = 3SE +/- 954.28, N = 3SE +/- 4350.78, N = 3SE +/- 1076.82, N = 3SE +/- 7794.37, N = 3SE +/- 7061.60, N = 3SE +/- 9073.63, N = 3SE +/- 1179.52, N = 3SE +/- 3256.58, N = 15254797.57372162.82491021.69499103.50648144.00625696.15951674.51923331.48430017.461. (CC) gcc options: -O2 -lrt" -lrt

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: GarlicoinEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24887001400210028003500SE +/- 0.39, N = 3SE +/- 1.62, N = 3SE +/- 2.95, N = 3SE +/- 1.43, N = 3SE +/- 3.95, N = 3SE +/- 11.09, N = 3SE +/- 4.61, N = 3SE +/- 0.76, N = 3SE +/- 4.51, N = 3851.651243.881637.721674.992229.572391.443179.323149.431356.311. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) 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 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488714212835SE +/- 0.0121, N = 3SE +/- 0.0041, N = 3SE +/- 0.0102, N = 3SE +/- 0.0082, N = 3SE +/- 0.0248, N = 3SE +/- 0.0104, N = 3SE +/- 0.0167, N = 3SE +/- 0.0196, N = 3SE +/- 0.1018, N = 37.836412.200115.635515.688921.240921.775727.387329.165514.5499MIN: 7.78 / MAX: 7.97MIN: 12.12 / MAX: 12.41MIN: 15.52 / MAX: 15.91MIN: 15.56 / MAX: 16.03MIN: 21.05 / MAX: 21.73MIN: 21.53 / MAX: 22.24MIN: 27.11 / MAX: 28.25MIN: 28.89 / MAX: 30.01MIN: 14.14 / MAX: 16.68

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Wide Vector MathEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488200K400K600K800K1000KSE +/- 117.98, N = 3SE +/- 31.25, N = 3SE +/- 84.63, N = 3SE +/- 205.90, N = 3SE +/- 1009.32, N = 3SE +/- 164.21, N = 3SE +/- 1811.04, N = 3SE +/- 875.08, N = 3SE +/- 373.64, N = 3209322.74307368.19402835.32413926.82539442.24568714.45778238.33749237.41576480.151. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24889K18K27K36K45KSE +/- 1.00, N = 3SE +/- 17.13, N = 3SE +/- 3.00, N = 3SE +/- 44.47, N = 3SE +/- 156.57, N = 3SE +/- 7.77, N = 3SE +/- 39.87, N = 3SE +/- 175.99, N = 3SE +/- 68.54, N = 31181917621234032324331440328644379541889188411. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Cpuminer-Opt

Cpuminer-Opt is a fork of cpuminer-multi that carries a wide range of CPU performance optimizations for measuring the potential cryptocurrency mining performance of the CPU/processor with a wide variety of cryptocurrencies. The benchmark reports the hash speed for the CPU mining performance for the selected cryptocurrency. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: RingcoinEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24888001600240032004000SE +/- 9.66, N = 3SE +/- 1.54, N = 3SE +/- 2.14, N = 3SE +/- 4.79, N = 3SE +/- 2.43, N = 3SE +/- 2.15, N = 3SE +/- 20.59, N = 3SE +/- 6.91, N = 3SE +/- 3.73, N = 3944.971364.321806.871851.252468.432586.653500.133424.571437.471. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: scryptEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870140210280350SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 1.04, N = 3SE +/- 1.34, N = 3SE +/- 1.22, N = 3SE +/- 0.08, N = 383.29120.39157.91162.88210.64227.45308.21298.15119.861. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Fused Multiply-AddEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248812M24M36M48M60MSE +/- 14786.84, N = 3SE +/- 283045.68, N = 3SE +/- 319716.71, N = 3SE +/- 252666.10, N = 3SE +/- 28005.99, N = 3SE +/- 58656.32, N = 3SE +/- 500794.58, N = 3SE +/- 54521.03, N = 3SE +/- 267691.10, N = 315250467.4122079544.9729040929.2429927440.6939475809.7842202851.9756410032.2555781750.8429762395.571. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24889K18K27K36K45KSE +/- 3.71, N = 3SE +/- 12.53, N = 3SE +/- 7.88, N = 3SE +/- 43.32, N = 3SE +/- 157.44, N = 3SE +/- 12.90, N = 3SE +/- 104.20, N = 3SE +/- 89.13, N = 3SE +/- 127.68, N = 31181817654234072323531119328824369541961187871. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Helsing

Helsing is an open-source POSIX vampire number generator. This test profile measures the time it takes to generate vampire numbers between varying numbers of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488160320480640800SE +/- 0.11, N = 3SE +/- 0.52, N = 3SE +/- 0.31, N = 3SE +/- 0.18, N = 3SE +/- 0.29, N = 3SE +/- 0.10, N = 3SE +/- 0.37, N = 3SE +/- 0.19, N = 3SE +/- 0.23, N = 3740.56504.27386.16375.92291.51268.44200.77204.02437.411. (CC) gcc options: -O2 -pthread

NAMD

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

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.17050.3410.51150.6820.8525SE +/- 0.00019, N = 3SE +/- 0.00046, N = 3SE +/- 0.00019, N = 3SE +/- 0.00059, N = 3SE +/- 0.00106, N = 3SE +/- 0.00185, N = 3SE +/- 0.00230, N = 3SE +/- 0.00443, N = 3SE +/- 0.00016, N = 30.274250.389560.485700.493450.608130.270390.756460.757680.20565

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) 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 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488816243240SE +/- 0.0183, N = 3SE +/- 0.0065, N = 3SE +/- 0.0055, N = 3SE +/- 0.0104, N = 3SE +/- 0.0156, N = 3SE +/- 0.0168, N = 3SE +/- 0.0349, N = 3SE +/- 0.0606, N = 3SE +/- 0.1189, N = 39.294814.357618.394018.451125.008625.534832.220934.236516.5757MIN: 9.21 / MAX: 9.46MIN: 14.27 / MAX: 14.68MIN: 18.28 / MAX: 18.74MIN: 18.3 / MAX: 18.87MIN: 24.79 / MAX: 25.66MIN: 25.23 / MAX: 26.17MIN: 31.88 / MAX: 33.23MIN: 33.88 / MAX: 35.24MIN: 16.29 / MAX: 19.34

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 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488110220330440550SE +/- 1.16, N = 9SE +/- 0.12, N = 3SE +/- 1.13, N = 3SE +/- 0.50, N = 3SE +/- 0.40, N = 3SE +/- 0.69, N = 3SE +/- 1.94, N = 3SE +/- 0.32, N = 3SE +/- 0.28, N = 3140.59187.28237.30275.72351.23366.70476.63516.90219.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

ASKAP

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

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248814002800420056007000SE +/- 19.19, N = 15SE +/- 25.19, N = 7SE +/- 21.74, N = 15SE +/- 24.04, N = 8SE +/- 19.10, N = 6SE +/- 49.58, N = 6SE +/- 41.40, N = 6SE +/- 55.23, N = 6SE +/- 25.17, N = 51801.152825.313122.292739.344438.014948.435073.236603.672556.221. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830K60K90K120K150KSE +/- 247.36, N = 3SE +/- 150.02, N = 3SE +/- 87.10, N = 3SE +/- 98.21, N = 3SE +/- 117.22, N = 3SE +/- 194.32, N = 3SE +/- 301.50, N = 3SE +/- 280.22, N = 3SE +/- 46.60, N = 341180.8166910.9384832.8285990.12108719.12120690.43136360.72150874.9187132.221. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e12EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488612182430SE +/- 0.014, N = 3SE +/- 0.014, N = 3SE +/- 0.013, N = 4SE +/- 0.007, N = 4SE +/- 0.007, N = 5SE +/- 0.005, N = 5SE +/- 0.007, N = 6SE +/- 0.009, N = 6SE +/- 0.302, N = 324.49616.82712.93712.5069.9439.1836.6917.03021.0951. (CXX) g++ options: -O3

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 21.7.2Time To CompileEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 0.89, N = 3SE +/- 0.13, N = 3SE +/- 0.61, N = 3SE +/- 0.38, N = 3SE +/- 0.29, N = 3SE +/- 0.11, N = 3SE +/- 0.68, N = 3SE +/- 0.55, N = 3SE +/- 1.08, N = 31444.31916.47743.11739.34524.51482.80421.43395.44915.94

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870140210280350SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 3300.41205.20158.45153.60120.86111.6382.4785.31245.671. (CXX) g++ options: -O3

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488130260390520650SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3167253327331446452603606288MIN: 12 / MAX: 2373MIN: 19 / MAX: 3690MIN: 24 / MAX: 4788MIN: 25 / MAX: 4820MIN: 34 / MAX: 6230MIN: 34 / MAX: 5835MIN: 48 / MAX: 8450MIN: 47 / MAX: 8240MIN: 20 / MAX: 4338

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881326395265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31623303041415857361. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32638495067649492491. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24886001200180024003000SE +/- 0.88, N = 3SE +/- 0.90, N = 3SE +/- 0.16, N = 3SE +/- 0.32, N = 3SE +/- 1.21, N = 3SE +/- 0.76, N = 3SE +/- 0.38, N = 3SE +/- 0.27, N = 3SE +/- 0.63, N = 32563.911730.881319.931310.96976.20905.03714.38710.791508.04

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488800K1600K2400K3200K4000KSE +/- 1131.60, N = 3SE +/- 2895.46, N = 3SE +/- 390.53, N = 3SE +/- 1471.26, N = 3SE +/- 2341.26, N = 3SE +/- 4210.88, N = 3SE +/- 5665.65, N = 3SE +/- 8167.06, N = 3SE +/- 11523.53, N = 31068869.521567216.542056776.092104490.552749241.802651410.813844031.283756154.983048853.561. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: NinjaEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 0.99, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.77, N = 3SE +/- 0.48, N = 3SE +/- 0.34, N = 3SE +/- 0.24, N = 3SE +/- 0.47, N = 3SE +/- 0.51, N = 31240.86815.09644.77636.83464.51428.25354.76345.35697.94

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.19350.3870.58050.7740.9675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.240.360.470.480.640.640.860.840.42

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.19350.3870.58050.7740.9675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.240.360.470.480.640.640.860.840.42

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 34.476.538.358.6110.4110.2515.9215.076.62

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881.1M2.2M3.3M4.4M5.5MSE +/- 10363.63, N = 15SE +/- 17743.52, N = 15SE +/- 24740.75, N = 15SE +/- 14207.26, N = 3SE +/- 18321.18, N = 3SE +/- 55041.91, N = 13SE +/- 26941.48, N = 3SE +/- 35376.76, N = 15SE +/- 20209.24, N = 31477767240024331896503194971378371937811665119891526262825488371. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870140210280350303.43210.11160.01156.07120.91118.6285.3287.70174.95

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881.1252.253.3754.55.625SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.412.062.672.753.483.475.004.882.13MIN: 1.37 / MAX: 1.44MIN: 2 / MAX: 2.12MIN: 2.59 / MAX: 2.76MIN: 2.66 / MAX: 2.86MIN: 3.39 / MAX: 3.64MIN: 3.38 / MAX: 3.64MIN: 4.85 / MAX: 5.35MIN: 4.77 / MAX: 5.16MIN: 2.03 / MAX: 2.65

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.05, N = 39.686.194.754.535.335.024.825.0115.95MIN: 5.18 / MAX: 21.13MIN: 3.5 / MAX: 13.93MIN: 2.76 / MAX: 10.38MIN: 2.65 / MAX: 17.47MIN: 2.88 / MAX: 17.76MIN: 2.86 / MAX: 11.09MIN: 2.78 / MAX: 17.83MIN: 2.78 / MAX: 17.17MIN: 9.85 / MAX: 70.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830K60K90K120K150KSE +/- 166.47, N = 3SE +/- 14.73, N = 3SE +/- 64.09, N = 3SE +/- 191.32, N = 3SE +/- 41.74, N = 3SE +/- 88.44, N = 3SE +/- 288.60, N = 3SE +/- 336.44, N = 3SE +/- 173.47, N = 345317.1670866.4291569.8794947.75116236.16124133.88154835.06158717.7492582.291. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 32.213.304.304.425.555.557.727.653.58MIN: 2.13 / MAX: 2.24MIN: 3.26 / MAX: 3.33MIN: 4.24 / MAX: 4.36MIN: 4.32 / MAX: 4.49MIN: 5.2 / MAX: 5.66MIN: 5.19 / MAX: 5.69MIN: 6.87 / MAX: 8.15MIN: 6.89 / MAX: 7.99MIN: 3.44 / MAX: 4.42

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SwirlEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3721061371391811632502431301. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Zxing 1D/2D Barcode Image ProcessingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488400800120016002000SE +/- 3.20, N = 6SE +/- 10.99, N = 7SE +/- 2.15, N = 8SE +/- 2.37, N = 8SE +/- 2.11, N = 9SE +/- 3.68, N = 9SE +/- 4.09, N = 9SE +/- 3.84, N = 9SE +/- 30.56, N = 1520331380104110197817495896201053

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890180270360450SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.55, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 1.74, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3123.63176.61238.89240.23315.30327.41425.47409.89192.28

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 7.38.2VGR Performance MetricEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890K180K270K360K450K1156531703682217672261982751672948913971383841831941271. (CXX) g++ options: -std=c++17 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lnetpbm -lregex_brl -lz_brl -lassimp -ldl -lm -ltk8.6

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.09230.18460.27690.36920.4615SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.120.170.220.230.300.300.410.400.21

nginx

This is a benchmark of the lightweight Nginx HTTP(S) web-server. This Nginx web server benchmark test profile makes use of the wrk program for facilitating the HTTP requests over a fixed period time with a configurable number of concurrent clients/connections. HTTPS with a self-signed OpenSSL certificate is used by this test for local benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 200EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830K60K90K120K150KSE +/- 66.30, N = 3SE +/- 50.61, N = 3SE +/- 78.04, N = 3SE +/- 127.61, N = 3SE +/- 69.09, N = 3SE +/- 32.54, N = 3SE +/- 150.85, N = 3SE +/- 28.66, N = 3SE +/- 231.66, N = 347788.2475062.5197227.42101214.88118177.50123864.16162348.33160748.1898692.951. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488110220330440550514.70341.30264.67263.51202.53201.65152.30153.65323.27

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 1D - Engine: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.85891.71782.57673.43564.2945SE +/- 0.00057, N = 4SE +/- 0.00010, N = 4SE +/- 0.00137, N = 4SE +/- 0.00536, N = 4SE +/- 0.00923, N = 4SE +/- 0.00037, N = 4SE +/- 0.00269, N = 4SE +/- 0.00331, N = 4SE +/- 0.01544, N = 43.817532.606381.979321.999861.973621.935531.130001.166742.91408MIN: 3.74MIN: 2.57MIN: 1.91MIN: 1.85MIN: 1.82MIN: 1.91MIN: 1.03MIN: 1.08MIN: 2.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488800K1600K2400K3200K4000KSE +/- 2338.48, N = 3SE +/- 1442.09, N = 3SE +/- 2995.56, N = 3SE +/- 2761.61, N = 3SE +/- 1507.35, N = 3SE +/- 4264.77, N = 3SE +/- 5303.54, N = 3SE +/- 5211.99, N = 3SE +/- 7388.22, N = 31117437.501651621.672163987.012195688.492762180.282658380.053761626.613693215.303072373.871. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890180270360450SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3121.85174.06235.47237.57305.22294.91409.96396.85189.14

Parallel BZIP2 Compression

This test measures the time needed to compress a file (FreeBSD-13.0-RELEASE-amd64-memstick.img) using Parallel BZIP2 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterParallel BZIP2 Compression 1.1.13FreeBSD-13.0-RELEASE-amd64-memstick.img CompressionEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.094483, N = 5SE +/- 0.047798, N = 6SE +/- 0.051557, N = 7SE +/- 0.045809, N = 15SE +/- 0.044427, N = 15SE +/- 0.036366, N = 9SE +/- 0.025811, N = 10SE +/- 0.022219, N = 15SE +/- 0.044479, N = 611.0974207.6173055.7018566.1544604.4479044.4083233.2998793.5215656.6124861. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Timed Godot Game Engine Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488130260390520650SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.49, N = 3SE +/- 0.51, N = 3SE +/- 0.40, N = 3SE +/- 0.60, N = 3SE +/- 0.34, N = 3618.87415.40330.82326.16246.66225.99188.53184.51364.42

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 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870140210280350SE +/- 0.07, N = 6SE +/- 0.13, N = 7SE +/- 0.17, N = 8SE +/- 0.21, N = 8SE +/- 0.24, N = 9SE +/- 0.22, N = 9SE +/- 0.26, N = 10SE +/- 0.40, N = 10SE +/- 2.05, N = 1593.01135.99173.19178.20216.67215.68311.95297.03168.391. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881122334455SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 4SE +/- 0.05, N = 4SE +/- 0.08, N = 313.8520.3826.0426.6531.6731.2946.4143.8920.17

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 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 5SE +/- 0.05, N = 5SE +/- 0.07, N = 5SE +/- 0.06, N = 6SE +/- 0.15, N = 6SE +/- 0.08, N = 429.8243.5755.6657.2371.6472.0799.6197.7747.981. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 1.10, N = 3SE +/- 0.63, N = 3SE +/- 0.24, N = 3SE +/- 0.38, N = 3SE +/- 0.73, N = 3SE +/- 0.93, N = 3SE +/- 1.00, N = 3SE +/- 2.07, N = 3SE +/- 0.50, N = 31262.91840.92669.64662.52491.50453.31387.01379.72719.39

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 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 36.649.5912.1012.4914.6614.4022.0220.659.281. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Inference - Engine: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24885001000150020002500SE +/- 0.34, N = 3SE +/- 0.51, N = 3SE +/- 0.53, N = 3SE +/- 7.18, N = 3SE +/- 1.03, N = 3SE +/- 0.47, N = 3SE +/- 1.91, N = 3SE +/- 2.47, N = 3SE +/- 6.38, N = 32274.051615.381310.591337.471036.15962.21706.65694.521548.71MIN: 2268.03MIN: 1610.14MIN: 1303.57MIN: 1299.81MIN: 1006.91MIN: 959.35MIN: 679.48MIN: 671.73MIN: 1512.561. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Training - Engine: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24889001800270036004500SE +/- 1.52, N = 3SE +/- 0.60, N = 3SE +/- 3.47, N = 3SE +/- 1.64, N = 3SE +/- 2.12, N = 3SE +/- 1.07, N = 3SE +/- 1.43, N = 3SE +/- 1.75, N = 3SE +/- 9.27, N = 34388.643148.812514.662491.141973.991890.001348.371355.102931.95MIN: 4379.53MIN: 3143.3MIN: 2499.44MIN: 2459.9MIN: 1936.17MIN: 1885.76MIN: 1314.05MIN: 1323.99MIN: 2882.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read WriteEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248811K22K33K44K55KSE +/- 116.46, N = 3SE +/- 280.73, N = 3SE +/- 206.50, N = 3SE +/- 123.75, N = 3SE +/- 454.20, N = 3SE +/- 369.77, N = 7SE +/- 481.81, N = 3SE +/- 549.43, N = 3SE +/- 85.58, N = 31569725448322803265739830396084952251022344861. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read Write - Average LatencyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881122334455SE +/- 0.38, N = 3SE +/- 0.34, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 7SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.06, N = 350.9731.4424.7924.5020.0920.2116.1615.6823.201. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881020304050SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 4SE +/- 0.02, N = 4SE +/- 0.06, N = 313.1419.2924.6225.2529.8229.5342.6040.1518.97

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881224364860SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.08, N = 5SE +/- 0.17, N = 4SE +/- 0.01, N = 316.8624.5931.3031.8637.2236.7154.5451.6324.69

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 2024.0Model: Person Detection FP32 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.06, N = 3SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.09, N = 3SE +/- 0.35, N = 3SE +/- 0.07, N = 3SE +/- 0.47, N = 3SE +/- 0.44, N = 3SE +/- 0.17, N = 331.5944.4052.2454.9874.2285.2988.3296.1029.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Tomographic ModelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.34, N = 3SE +/- 0.26, N = 3SE +/- 0.53, N = 3SE +/- 0.48, N = 3SE +/- 0.32, N = 3SE +/- 0.25, N = 3SE +/- 0.20, N = 15SE +/- 0.34, N = 3SE +/- 0.06, N = 390.5860.3847.6949.5839.2852.2330.1328.0652.891. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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 2024.0Model: Person Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.98, N = 3SE +/- 0.52, N = 3SE +/- 0.16, N = 331.7144.1752.3555.1173.5185.1188.8495.9529.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.30, N = 3SE +/- 0.29, N = 3SE +/- 0.40, N = 3SE +/- 0.32, N = 3SE +/- 0.47, N = 3SE +/- 0.38, N = 3SE +/- 0.36, N = 3SE +/- 0.35, N = 3SE +/- 0.45, N = 3182.46126.0098.2997.4175.2570.3057.4757.48108.34

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248840K80K120K160K200KSE +/- 61.73, N = 3SE +/- 155.58, N = 3SE +/- 134.28, N = 3SE +/- 195.02, N = 3SE +/- 160.29, N = 3SE +/- 350.41, N = 3SE +/- 313.05, N = 3SE +/- 738.67, N = 3SE +/- 436.66, N = 35615582933104248103571139935141565170888177125949901. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To CompileEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.33, N = 379.5853.8842.9442.2033.0330.5525.3025.2550.05

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 128EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830K60K90K120K150KSE +/- 88.19, N = 3SE +/- 73.92, N = 3SE +/- 276.11, N = 3SE +/- 302.28, N = 3SE +/- 58.24, N = 3SE +/- 391.29, N = 3SE +/- 765.52, N = 3SE +/- 158.53, N = 3SE +/- 237.27, N = 338555.563936.282706.283155.892280.790283.6121061.7118066.783987.5

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Homogeneous HalfspaceEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 1.30, N = 3SE +/- 1.09, N = 3SE +/- 0.54, N = 3SE +/- 0.35, N = 3SE +/- 0.57, N = 3SE +/- 0.43, N = 3SE +/- 0.28, N = 3SE +/- 0.48, N = 3SE +/- 0.41, N = 3112.8777.2359.6363.8750.7067.5639.5636.3167.111. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

ASKAP

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

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882K4K6K8K10KSE +/- 16.62, N = 15SE +/- 154.63, N = 7SE +/- 18.97, N = 15SE +/- 27.18, N = 8SE +/- 42.40, N = 6SE +/- 71.64, N = 6SE +/- 49.85, N = 6SE +/- 90.51, N = 6SE +/- 41.03, N = 52841.954370.023420.873426.034566.428591.905172.448830.774282.181. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 0.10.1Input: PNG - Quality: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488714212835SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.006, N = 3SE +/- 0.016, N = 3SE +/- 0.022, N = 3SE +/- 0.008, N = 3SE +/- 0.037, N = 3SE +/- 0.020, N = 3SE +/- 0.066, N = 38.99912.84816.35816.66120.74319.94327.74826.40813.6501. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

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 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890180270360450432.88307.01275.10296.60210.39168.98183.23141.46242.941. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 128EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820K40K60K80K100KSE +/- 20.64, N = 3SE +/- 116.97, N = 3SE +/- 105.77, N = 3SE +/- 47.09, N = 3SE +/- 132.40, N = 3SE +/- 72.81, N = 3SE +/- 156.58, N = 3SE +/- 462.84, N = 3SE +/- 198.29, N = 331458.951927.066756.967506.775445.773004.595084.896269.163021.4

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.00081, N = 9SE +/- 0.00099, N = 9SE +/- 0.00062, N = 9SE +/- 0.00661, N = 9SE +/- 0.00652, N = 9SE +/- 0.00129, N = 9SE +/- 0.00405, N = 9SE +/- 0.00476, N = 9SE +/- 0.10597, N = 157.512865.552543.948883.834123.454613.510652.461592.707824.94792MIN: 7.5MIN: 5.53MIN: 3.84MIN: 3.58MIN: 3.24MIN: 3.46MIN: 2.35MIN: 2.61MIN: 4.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 0.10.1Input: JPEG - Quality: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488612182430SE +/- 0.002, N = 3SE +/- 0.007, N = 3SE +/- 0.012, N = 3SE +/- 0.006, N = 3SE +/- 0.026, N = 3SE +/- 0.037, N = 3SE +/- 0.005, N = 3SE +/- 0.034, N = 3SE +/- 0.037, N = 38.95912.69616.27716.51920.52819.80727.22325.90713.4841. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 128EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820K40K60K80K100KSE +/- 100.60, N = 3SE +/- 67.60, N = 3SE +/- 75.55, N = 3SE +/- 264.18, N = 3SE +/- 37.01, N = 3SE +/- 233.77, N = 3SE +/- 831.25, N = 3SE +/- 58.30, N = 3SE +/- 189.35, N = 330433.249645.063986.264052.771721.169839.892195.290314.059866.6

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 2.2Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881428425670SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 4SE +/- 0.05, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.07, N = 5SE +/- 0.03, N = 5SE +/- 0.31, N = 420.7530.1037.7038.8244.4643.5462.5658.2528.641. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PostgreSQL

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 500 - Mode: Read WriteEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248813K26K39K52K65KSE +/- 9.63, N = 3SE +/- 246.90, N = 3SE +/- 304.71, N = 3SE +/- 256.18, N = 3SE +/- 263.22, N = 3SE +/- 339.91, N = 3SE +/- 699.92, N = 3SE +/- 609.40, N = 3SE +/- 362.37, N = 31939331609395494047346671458525651758405424121. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average LatencyEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488612182430SE +/- 0.013, N = 3SE +/- 0.123, N = 3SE +/- 0.098, N = 3SE +/- 0.078, N = 3SE +/- 0.061, N = 3SE +/- 0.080, N = 3SE +/- 0.109, N = 3SE +/- 0.089, N = 3SE +/- 0.101, N = 325.78315.82012.64412.35510.71410.9068.8508.56311.7911. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 0.48, N = 3SE +/- 1.62, N = 3SE +/- 0.50, N = 3SE +/- 0.95, N = 3SE +/- 1.33, N = 3SE +/- 3.16, N = 3SE +/- 3.49, N = 3SE +/- 3.15, N = 3SE +/- 1.12, N = 3323.0482.9532.3527.9745.5888.7797.0961.2504.11. (CC) gcc options: -O3 -pthread -lz -llzma

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881224364860SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.21, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 351.9735.7128.6228.2622.1221.0517.4617.6732.52

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 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488816243240SE +/- 0.04, N = 3SE +/- 0.19, N = 3SE +/- 0.22, N = 3SE +/- 0.15, N = 15SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 311.6617.6016.7717.6127.4327.2034.6534.0219.481. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Timed Gem5 Compilation

This test times how long it takes to compile Gem5. Gem5 is a simulator for computer system architecture research. Gem5 is widely used for computer architecture research within the industry, academia, and more. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Gem5 Compilation 23.0.1Time To CompileEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 0.48, N = 3SE +/- 0.50, N = 3SE +/- 0.25, N = 3SE +/- 0.34, N = 3SE +/- 1.21, N = 3SE +/- 1.50, N = 3SE +/- 0.80, N = 3SE +/- 3.30, N = 4SE +/- 0.89, N = 3787.86540.89438.62432.22339.22320.09273.49267.08468.38

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 0.98, N = 3SE +/- 2.29, N = 3SE +/- 1.07, N = 3SE +/- 1.88, N = 3SE +/- 2.23, N = 3SE +/- 6.53, N = 3SE +/- 6.27, N = 9SE +/- 2.98, N = 3SE +/- 3.15, N = 3330.3500.0525.1520.3798.4942.3793.8970.7485.61. (CC) gcc options: -O3 -pthread -lz -llzma

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.60351.2071.81052.4143.0175SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 30.9141.2531.5221.5462.1232.2882.5432.6821.4341. (CXX) g++ options: -O3 -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881632486480SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 4SE +/- 0.10, N = 4SE +/- 0.05, N = 4SE +/- 0.07, N = 4SE +/- 0.15, N = 5SE +/- 0.11, N = 5SE +/- 0.30, N = 324.8736.7045.9547.2957.2356.9672.7469.9636.141. (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: 10 - Input: Bosphorus 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488120240360480600SE +/- 0.16, N = 9SE +/- 0.23, N = 10SE +/- 0.44, N = 11SE +/- 0.24, N = 11SE +/- 0.29, N = 11SE +/- 0.39, N = 11SE +/- 1.04, N = 12SE +/- 0.81, N = 12SE +/- 4.53, N = 15192.92279.57351.91361.05428.68422.86560.81554.16383.641. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Layered HalfspaceEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250SE +/- 0.46, N = 3SE +/- 1.62, N = 3SE +/- 1.33, N = 3SE +/- 0.49, N = 3SE +/- 0.17, N = 3SE +/- 0.40, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 1.26, N = 3237.98166.97133.47133.31103.73113.1783.9781.88144.541. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Mount St. HelensEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.10, N = 3SE +/- 0.61, N = 5SE +/- 0.47, N = 3SE +/- 0.25, N = 3SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 0.29, N = 15SE +/- 0.35, N = 5SE +/- 0.34, N = 389.4862.5751.5951.2939.0147.8533.1331.1253.291. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248880160240320400SE +/- 0.47, N = 7SE +/- 0.64, N = 9SE +/- 0.69, N = 9SE +/- 0.76, N = 9SE +/- 1.08, N = 10SE +/- 1.06, N = 10SE +/- 1.71, N = 15SE +/- 2.24, N = 11SE +/- 3.49, N = 15127.23173.33198.42203.16284.34281.56364.90357.60221.331. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: super-resolution-10 - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.32, N = 15SE +/- 0.80, N = 3SE +/- 0.21, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.43, N = 3SE +/- 1.10, N = 3SE +/- 0.51, N = 3SE +/- 0.57, N = 346.5964.2989.2091.59102.6095.22133.32120.3575.881. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

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 2.2Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881122334455SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 4SE +/- 0.02, N = 4SE +/- 0.19, N = 316.8224.2230.1431.0435.2334.7148.1144.5923.051. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 5SE +/- 0.05, N = 5SE +/- 0.03, N = 35.958.8811.5911.9312.7012.3016.9816.439.35MIN: 5.75 / MAX: 5.99MIN: 8.44 / MAX: 8.94MIN: 10.79 / MAX: 11.71MIN: 11.1 / MAX: 12.12MIN: 11.78 / MAX: 12.96MIN: 11.45 / MAX: 12.4MIN: 15.46 / MAX: 17.3MIN: 15.06 / MAX: 16.65MIN: 8.52 / MAX: 10.72

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: AlexNetEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870140210280350SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.21, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.34, N = 3SE +/- 0.33, N = 3SE +/- 0.21, N = 3113.02160.28204.83206.40256.65248.73322.53315.45173.78

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.04, N = 5SE +/- 0.03, N = 6SE +/- 0.05, N = 7SE +/- 0.08, N = 7SE +/- 0.05, N = 8SE +/- 0.09, N = 8SE +/- 0.16, N = 9SE +/- 0.07, N = 9SE +/- 0.97, N = 1563.9688.44116.21119.83127.69124.52181.83168.1396.33

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 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 5SE +/- 0.06, N = 5SE +/- 0.07, N = 6SE +/- 0.04, N = 6SE +/- 0.30, N = 1028.7541.1150.7152.3057.6856.2881.2374.9639.591. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 3D - Engine: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.00492, N = 5SE +/- 0.00220, N = 5SE +/- 0.00237, N = 5SE +/- 0.00833, N = 5SE +/- 0.00774, N = 5SE +/- 0.00680, N = 5SE +/- 0.00611, N = 5SE +/- 0.01016, N = 5SE +/- 0.01930, N = 55.033674.494064.516294.678403.806932.704303.886852.890877.59695MIN: 4.94MIN: 4.45MIN: 4.45MIN: 4.46MIN: 3.54MIN: 2.66MIN: 3.57MIN: 2.68MIN: 7.291. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.42, N = 3SE +/- 0.51, N = 5SE +/- 0.64, N = 5SE +/- 0.56, N = 5SE +/- 0.79, N = 15SE +/- 0.75, N = 15SE +/- 1.42, N = 15SE +/- 1.39, N = 15SE +/- 0.47, N = 1535.8550.5160.9761.9080.9380.87100.00100.0559.561. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.010, N = 5SE +/- 0.010, N = 6SE +/- 0.005, N = 7SE +/- 0.014, N = 7SE +/- 0.014, N = 8SE +/- 0.008, N = 8SE +/- 0.010, N = 9SE +/- 0.018, N = 9SE +/- 0.088, N = 159.4716.7985.4365.3384.4374.4693.4213.5686.2601. (CXX) g++ options: -O3 -fPIC -lm

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860120180240300281.67191.21146.67142.94129.09131.17102.15104.32173.41

ScyllaDB

This is a benchmark of ScyllaDB and is making use of Apache Cassandra's cassandra-stress for conducting the benchmark. ScyllaDB is an open-source distributed NoSQL data store that is compatible with Apache Cassandra while focusing on higher throughput and lower latency. ScyllaDB uses a sharded design on each node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: WritesEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830K60K90K120K150KSE +/- 158.89, N = 3SE +/- 110.37, N = 3SE +/- 140.30, N = 3SE +/- 60.93, N = 3SE +/- 83.55, N = 3SE +/- 415.80, N = 3SE +/- 255.51, N = 3SE +/- 369.77, N = 3SE +/- 395.91, N = 355249780049334294217112383115980151729145533104832

SPECFEM3D

simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra. This test profile currently relies on CPU-based execution for SPECFEM3D and using a variety of their built-in examples/models for benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Water-layered HalfspaceEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250SE +/- 0.51, N = 3SE +/- 0.07, N = 3SE +/- 0.81, N = 3SE +/- 0.42, N = 3SE +/- 0.52, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.54, N = 3SE +/- 0.21, N = 3214.49156.91130.20129.33104.12131.8785.2578.38135.421. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 512EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860M120M180M240M300MSE +/- 125033.33, N = 3SE +/- 138604.15, N = 3SE +/- 170098.01, N = 3SE +/- 75055.53, N = 3SE +/- 1274497.72, N = 3SE +/- 168358.08, N = 3SE +/- 520000.00, N = 3SE +/- 2913213.19, N = 3SE +/- 1245404.89, N = 31069600001564333332062700002116700002335966672301533332923900002825633331592700001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.05, N = 5SE +/- 0.04, N = 6SE +/- 0.04, N = 7SE +/- 0.14, N = 7SE +/- 0.05, N = 7SE +/- 0.08, N = 7SE +/- 0.11, N = 9SE +/- 0.18, N = 8SE +/- 0.95, N = 1561.1984.36108.21111.78117.12114.08166.81154.0289.31

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 311.4311.2711.5111.0512.8211.9111.7212.0430.05MIN: 5.89 / MAX: 21.52MIN: 5.84 / MAX: 21.18MIN: 5.95 / MAX: 21.47MIN: 5.83 / MAX: 23.56MIN: 6.57 / MAX: 26.61MIN: 6.32 / MAX: 23.15MIN: 6 / MAX: 26.83MIN: 6.3 / MAX: 25.96MIN: 17.38 / MAX: 87.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24885001000150020002500SE +/- 7.98, N = 5SE +/- 8.87, N = 6SE +/- 11.50, N = 10SE +/- 41.08, N = 15SE +/- 21.84, N = 15SE +/- 11.67, N = 7SE +/- 13.01, N = 8SE +/- 13.19, N = 8SE +/- 55.41, N = 15781.241168.351489.701169.681542.111508.632123.372051.601470.811. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 1.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3446073768987119115701. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.003, N = 8SE +/- 0.004, N = 9SE +/- 0.035, N = 10SE +/- 0.055, N = 9SE +/- 0.178, N = 15SE +/- 0.126, N = 15SE +/- 0.059, N = 11SE +/- 0.045, N = 11SE +/- 0.250, N = 154.6186.8388.7156.8269.2669.52512.48111.7667.2361. (CXX) g++ options: -O3 -lm -ldl

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890180270360450SE +/- 0.23, N = 8SE +/- 0.22, N = 9SE +/- 0.35, N = 10SE +/- 0.28, N = 10SE +/- 0.37, N = 11SE +/- 0.48, N = 10SE +/- 0.42, N = 11SE +/- 0.58, N = 11SE +/- 0.53, N = 10155.85213.44246.28251.44337.46336.78419.26419.93295.691. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 1.02, N = 3SE +/- 0.60, N = 3SE +/- 0.62, N = 3SE +/- 0.52, N = 3SE +/- 0.16, N = 3SE +/- 0.35, N = 3SE +/- 1.73, N = 3SE +/- 0.56, N = 3SE +/- 8.08, N = 31135.61761.78579.07560.14647.10597.79590.80605.151506.63MIN: 1110.52 / MAX: 1148.03MIN: 744.08 / MAX: 774.48MIN: 564.55 / MAX: 589.31MIN: 538 / MAX: 581.72MIN: 540.69 / MAX: 688.06MIN: 574.7 / MAX: 616.24MIN: 555.5 / MAX: 623.22MIN: 570.99 / MAX: 624.11MIN: 1180.01 / MAX: 1642.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250SE +/- 0.12, N = 6SE +/- 0.06, N = 8SE +/- 0.04, N = 9SE +/- 0.09, N = 9SE +/- 0.12, N = 9SE +/- 0.10, N = 9SE +/- 0.26, N = 10SE +/- 0.14, N = 10SE +/- 2.29, N = 1592.91126.08161.51168.08172.91166.31248.39224.02139.721. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890180270360450SE +/- 0.15, N = 8SE +/- 0.18, N = 9SE +/- 0.18, N = 10SE +/- 0.20, N = 10SE +/- 0.25, N = 10SE +/- 0.34, N = 10SE +/- 0.58, N = 11SE +/- 1.10, N = 11SE +/- 0.18, N = 10154.14208.12237.22242.58331.83330.16408.42410.42289.261. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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: 10 - Input: Bosphorus 4KEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.02, N = 5SE +/- 0.10, N = 6SE +/- 0.10, N = 6SE +/- 0.12, N = 6SE +/- 0.15, N = 7SE +/- 0.17, N = 7SE +/- 0.14, N = 8SE +/- 0.31, N = 8SE +/- 1.10, N = 1561.0886.79107.47109.03130.38131.05158.94162.47101.831. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: MediumEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881428425670SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.06, N = 4SE +/- 0.06, N = 4SE +/- 0.07, N = 5SE +/- 0.10, N = 5SE +/- 0.14, N = 424.2932.6344.4345.6349.2447.9864.1659.4836.59

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: GoogLeNetEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.10, N = 352.8374.9392.8593.71111.99115.48135.30139.1178.79

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.06, N = 6SE +/- 0.06, N = 7SE +/- 0.16, N = 8SE +/- 0.06, N = 8SE +/- 0.12, N = 8SE +/- 0.14, N = 8SE +/- 0.20, N = 9SE +/- 0.12, N = 9SE +/- 1.21, N = 1577.35105.23138.95142.97150.51146.08203.39187.73115.40

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881224364860SE +/- 0.08, N = 3SE +/- 0.30, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 321.5122.0121.7020.3723.4721.4021.8921.8553.07MIN: 14.59 / MAX: 33.42MIN: 13.52 / MAX: 35.51MIN: 16.33 / MAX: 33.88MIN: 14.74 / MAX: 35.54MIN: 17.04 / MAX: 41.98MIN: 14.65 / MAX: 31.23MIN: 14.64 / MAX: 40.37MIN: 15.94 / MAX: 38.89MIN: 35.4 / MAX: 130.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.07, N = 3SE +/- 0.29, N = 3SE +/- 0.27, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 1.17, N = 3SE +/- 0.33, N = 3SE +/- 0.77, N = 5SE +/- 0.49, N = 3187.64136.63110.46108.6589.6391.5972.1174.06133.571. (CXX) g++ options: -O3 -fPIC -lm

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: GoogLeNetEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 352.8473.7791.2192.37110.52113.51133.21135.7878.17

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24885K10K15K20K25KSE +/- 3.80, N = 3SE +/- 2.11, N = 3SE +/- 9.02, N = 3SE +/- 12.84, N = 3SE +/- 246.27, N = 15SE +/- 51.70, N = 4SE +/- 253.63, N = 3SE +/- 245.10, N = 4SE +/- 44.80, N = 39885.3211155.6411203.8311152.3117215.9225252.3518660.9024785.6512750.971. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ArcFace ResNet-100 - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488918273645SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.27, N = 7SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 314.8219.8426.8627.0230.1929.3737.2734.7223.041. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488816243240SE +/- 0.23, N = 9SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 328.4321.3116.8314.4817.0516.3416.7315.4536.35MIN: 16.13 / MAX: 41.37MIN: 11.09 / MAX: 25.08MIN: 8.78 / MAX: 22.96MIN: 8.91 / MAX: 26.44MIN: 9.42 / MAX: 28.42MIN: 9.56 / MAX: 24.55MIN: 9.66 / MAX: 30.96MIN: 9.45 / MAX: 28.8MIN: 24.38 / MAX: 96.41. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.2250.450.6750.91.125SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.400.410.410.400.460.440.410.431.00MIN: 0.22 / MAX: 4.51MIN: 0.22 / MAX: 5.13MIN: 0.21 / MAX: 8.32MIN: 0.2 / MAX: 7.69MIN: 0.22 / MAX: 9.38MIN: 0.22 / MAX: 7.12MIN: 0.21 / MAX: 10.02MIN: 0.22 / MAX: 7.53MIN: 0.4 / MAX: 10.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: GoogLeNetEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 353.1773.5890.1391.90109.73114.12132.62130.8076.13

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 353.0773.3690.1991.77109.36109.62132.13131.3476.84

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881020304050SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.21, N = 343.9531.3226.1625.4620.2519.3518.2117.7333.89

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.06, N = 5SE +/- 0.10, N = 6SE +/- 0.12, N = 7SE +/- 0.14, N = 7SE +/- 0.26, N = 7SE +/- 0.18, N = 7SE +/- 0.33, N = 8SE +/- 0.17, N = 8SE +/- 1.00, N = 1568.8498.45121.50125.28145.04143.28170.21166.37105.281. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_1d - Engine: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.00779, N = 3SE +/- 0.00480, N = 3SE +/- 0.00446, N = 3SE +/- 0.00421, N = 3SE +/- 0.02716, N = 3SE +/- 0.01511, N = 3SE +/- 0.01295, N = 3SE +/- 0.01094, N = 3SE +/- 0.02381, N = 37.422725.214623.934453.910893.575683.345053.006363.113076.85318MIN: 6.88MIN: 4.63MIN: 3.52MIN: 3.5MIN: 2.86MIN: 2.98MIN: 2.4MIN: 2.51MIN: 3.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.05, N = 6SE +/- 0.06, N = 7SE +/- 0.09, N = 7SE +/- 0.10, N = 8SE +/- 0.06, N = 8SE +/- 0.16, N = 8SE +/- 0.25, N = 9SE +/- 0.11, N = 9SE +/- 0.87, N = 775.97101.80123.89129.02131.13125.34186.56169.81103.041. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.99, N = 4SE +/- 0.39, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 390.3363.2953.4448.2658.5656.9858.4357.68118.45MIN: 51.71 / MAX: 101.44MIN: 45.67 / MAX: 70.41MIN: 25.81 / MAX: 61.36MIN: 29.16 / MAX: 69.56MIN: 42.61 / MAX: 80.74MIN: 40.42 / MAX: 73.08MIN: 31.85 / MAX: 94.55MIN: 32.9 / MAX: 82.05MIN: 68.57 / MAX: 244.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 2.2Video Input: Bosphorus 1080p - Video Preset: MediumEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.05, N = 5SE +/- 0.04, N = 5SE +/- 0.05, N = 5SE +/- 0.10, N = 5SE +/- 0.08, N = 6SE +/- 0.13, N = 6SE +/- 0.37, N = 436.1047.1762.7164.6866.4763.8588.3080.5250.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.01, N = 4SE +/- 0.05, N = 5SE +/- 0.09, N = 5SE +/- 0.08, N = 5SE +/- 0.11, N = 6SE +/- 0.15, N = 6SE +/- 0.13, N = 6SE +/- 0.16, N = 6SE +/- 0.64, N = 1047.0163.7674.7176.0697.2797.41111.01114.8883.191. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

MariaDB

This is a MariaDB MySQL database server benchmark making use of sysbench rather than the existing pts/mysqlslap test profile that uses MariaDB with mysqlslap/mariadb-slap as the benchmark driver. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.5Test: oltp_write_only - Threads: 64EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870K140K210K280K350KSE +/- 535.09, N = 3SE +/- 493.89, N = 3SE +/- 204.75, N = 3SE +/- 419.19, N = 3SE +/- 431.10, N = 3SE +/- 971.36, N = 3SE +/- 56.85, N = 3SE +/- 391.18, N = 3SE +/- 798.38, N = 3142651208039260139265119273914279043348099346495296034-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 1.30, N = 3SE +/- 0.28, N = 3SE +/- 4.81, N = 6SE +/- 5.87, N = 9SE +/- 9.39, N = 6SE +/- 4.68, N = 5SE +/- 2.52, N = 3SE +/- 4.35, N = 9SE +/- 8.95, N = 9786.89560.31494.79585.75403.46421.96322.67324.46538.42

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: AlexNetEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.23, N = 3SE +/- 0.20, N = 3SE +/- 0.25, N = 3SE +/- 0.14, N = 4SE +/- 0.35, N = 4SE +/- 1.37, N = 3100.57139.36171.59172.89204.70199.14242.49239.93160.52

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.008, N = 3SE +/- 0.016, N = 3SE +/- 0.019, N = 3SE +/- 0.004, N = 3SE +/- 0.009, N = 3SE +/- 0.030, N = 3SE +/- 0.024, N = 33.2634.5405.5635.7426.5266.4137.8387.2964.3481. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read Random Write RandomEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488600K1200K1800K2400K3000KSE +/- 11016.21, N = 3SE +/- 24161.52, N = 3SE +/- 1649.04, N = 3SE +/- 5891.62, N = 3SE +/- 16096.70, N = 3SE +/- 1307.98, N = 3SE +/- 24549.22, N = 3SE +/- 8693.67, N = 3SE +/- 17144.87, N = 31219968178179522474812131122227855618177752915758292956119765331. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870140210280350SE +/- 0.09, N = 8SE +/- 0.11, N = 9SE +/- 0.14, N = 10SE +/- 0.14, N = 10SE +/- 0.14, N = 10SE +/- 0.16, N = 10SE +/- 0.21, N = 11SE +/- 0.34, N = 10SE +/- 4.30, N = 15126.17167.39217.52226.13231.05220.31301.57271.84197.511. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860120180240300SE +/- 0.15, N = 3SE +/- 0.43, N = 3SE +/- 0.62, N = 3SE +/- 0.92, N = 3SE +/- 2.73, N = 3SE +/- 1.66, N = 3SE +/- 2.97, N = 3SE +/- 6.73, N = 15SE +/- 2.27, N = 3114.3164.4177.9171.0221.2273.1220.9248.0170.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881020304050SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 322.2419.8620.2219.1322.1120.3120.0920.5745.70MIN: 14.31 / MAX: 32.88MIN: 13.85 / MAX: 30.49MIN: 14.54 / MAX: 30.69MIN: 12.57 / MAX: 34MIN: 14.68 / MAX: 40.04MIN: 14.76 / MAX: 29.79MIN: 13.66 / MAX: 38.02MIN: 14.62 / MAX: 37.71MIN: 32.92 / MAX: 117.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: leblancbigEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881224364860SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 3SE +/- 0.88, N = 15SE +/- 0.42, N = 15SE +/- 0.35, N = 3SE +/- 0.27, N = 3SE +/- 0.17, N = 3SE +/- 1.09, N = 1254.7841.7135.4842.9431.8628.1429.5522.9732.871. (CXX) g++ options: -fopenmp -lmpi_cxx -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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: bertsquad-12 - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.05918, N = 3SE +/- 0.02536, N = 3SE +/- 0.06035, N = 3SE +/- 0.11789, N = 3SE +/- 0.10273, N = 9SE +/- 0.15346, N = 3SE +/- 0.05371, N = 3SE +/- 0.09843, N = 14SE +/- 0.10358, N = 36.530469.1545812.3239012.5483012.7624012.6118015.5560014.7664011.537201. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: ResizingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870140210280350SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 1.00, N = 3SE +/- 0.00, N = 3SE +/- 1.86, N = 31422022502552842583383252441. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500MEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488510152025SE +/- 0.020, N = 3SE +/- 0.082, N = 4SE +/- 0.038, N = 4SE +/- 0.036, N = 4SE +/- 0.009, N = 5SE +/- 0.012, N = 5SE +/- 0.010, N = 5SE +/- 0.010, N = 5SE +/- 0.124, N = 419.80014.13311.86111.5899.4148.9698.6528.37314.926

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.004, N = 3SE +/- 0.017, N = 3SE +/- 0.031, N = 3SE +/- 0.021, N = 3SE +/- 0.029, N = 3SE +/- 0.034, N = 3SE +/- 0.058, N = 3SE +/- 0.045, N = 3SE +/- 0.018, N = 33.3114.5425.5545.6936.4906.4527.8187.4944.9751. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.03, N = 3SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.56, N = 4SE +/- 0.03, N = 3SE +/- 0.33, N = 7SE +/- 0.18, N = 385.3964.1452.5651.9444.3445.7336.3337.1161.841. (CXX) g++ options: -O3 -fPIC -lm

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.04, N = 4SE +/- 0.11, N = 5SE +/- 0.03, N = 5SE +/- 0.09, N = 5SE +/- 0.08, N = 6SE +/- 0.12, N = 6SE +/- 0.15, N = 6SE +/- 0.18, N = 6SE +/- 0.46, N = 1545.9660.9070.3471.4892.0793.56103.52107.5379.851. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: yolov4 - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.01891, N = 3SE +/- 0.08117, N = 3SE +/- 0.11284, N = 4SE +/- 0.10193, N = 15SE +/- 0.06480, N = 12SE +/- 0.01052, N = 3SE +/- 0.13812, N = 4SE +/- 0.09061, N = 9SE +/- 0.11600, N = 34.930356.782269.222199.291799.183408.9895811.5199011.038008.094211. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on WindshieldEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248880160240320400SE +/- 0.92, N = 3SE +/- 0.57, N = 3SE +/- 0.53, N = 3SE +/- 7.66, N = 9SE +/- 4.67, N = 12SE +/- 1.41, N = 3SE +/- 2.93, N = 12SE +/- 3.16, N = 9SE +/- 3.59, N = 9390.30291.79238.13266.65202.27229.49183.64168.39259.88

Pennant

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

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.09, N = 3SE +/- 0.22, N = 3SE +/- 0.05, N = 3SE +/- 0.59, N = 6SE +/- 0.18, N = 3SE +/- 0.43, N = 3SE +/- 0.35, N = 8SE +/- 0.12, N = 3SE +/- 0.67, N = 480.1159.0250.8961.9749.1842.1842.2334.6455.901. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, LosslessEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.014, N = 4SE +/- 0.012, N = 5SE +/- 0.006, N = 6SE +/- 0.021, N = 6SE +/- 0.018, N = 6SE +/- 0.038, N = 6SE +/- 0.044, N = 7SE +/- 0.051, N = 9SE +/- 0.014, N = 513.44710.0248.2628.1477.2157.1685.8906.1748.9691. (CXX) g++ options: -O3 -fPIC -lm

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 317.4610.949.138.448.787.7511.367.8916.04MIN: 8.04 / MAX: 25.29MIN: 4.95 / MAX: 20.28MIN: 4.28 / MAX: 20.17MIN: 4.55 / MAX: 19.23MIN: 4.89 / MAX: 24.3MIN: 4.8 / MAX: 13.5MIN: 4.12 / MAX: 36.81MIN: 4.2 / MAX: 25.04MIN: 9.49 / MAX: 56.981. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.020, N = 3SE +/- 0.018, N = 3SE +/- 0.009, N = 3SE +/- 0.034, N = 3SE +/- 0.038, N = 3SE +/- 0.009, N = 3SE +/- 0.047, N = 37.74210.49412.80113.14114.53614.60217.43516.82011.7681. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Convolution Batch Shapes Auto - Engine: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.00783, N = 7SE +/- 0.03028, N = 7SE +/- 0.01592, N = 7SE +/- 0.00717, N = 7SE +/- 0.01722, N = 7SE +/- 0.00824, N = 7SE +/- 0.01415, N = 7SE +/- 0.00632, N = 7SE +/- 0.04485, N = 79.055467.934557.792028.168006.463574.029366.407194.245326.38053MIN: 8.91MIN: 7.8MIN: 7.68MIN: 7.7MIN: 6.03MIN: 3.95MIN: 5.93MIN: 3.87MIN: 5.921. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

MariaDB

This is a MariaDB MySQL database server benchmark making use of sysbench rather than the existing pts/mysqlslap test profile that uses MariaDB with mysqlslap/mariadb-slap as the benchmark driver. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.5Test: oltp_read_write - Threads: 64EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248840K80K120K160K200KSE +/- 75.46, N = 3SE +/- 193.47, N = 3SE +/- 284.19, N = 3SE +/- 211.83, N = 3SE +/- 99.82, N = 3SE +/- 296.87, N = 3SE +/- 389.87, N = 3SE +/- 91.63, N = 3SE +/- 562.40, N = 390232133141166060168593169625172265201182197194186418-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488918273645SE +/- 0.22, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 337.3027.2323.2717.7919.6817.7625.1518.3239.48MIN: 30.15 / MAX: 46.26MIN: 12.7 / MAX: 33.19MIN: 8.9 / MAX: 35.88MIN: 9.38 / MAX: 30.36MIN: 10.8 / MAX: 33.75MIN: 11.78 / MAX: 28.07MIN: 11.63 / MAX: 50.5MIN: 10.07 / MAX: 36.96MIN: 22.02 / MAX: 90.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.05, N = 6SE +/- 0.16, N = 7SE +/- 0.16, N = 8SE +/- 0.13, N = 8SE +/- 0.26, N = 8SE +/- 0.18, N = 8SE +/- 0.29, N = 9SE +/- 0.32, N = 8SE +/- 1.11, N = 1586.47119.76142.84148.34162.42156.68189.41175.21120.531. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248880160240320400SE +/- 0.68, N = 3SE +/- 0.43, N = 3SE +/- 1.50, N = 3SE +/- 0.89, N = 3SE +/- 0.27, N = 3SE +/- 3.53, N = 4SE +/- 3.68, N = 3SE +/- 1.30, N = 3SE +/- 1.45, N = 3174.41264.15314.23322.61336.91327.75380.82374.23214.551. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -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 0.10.1Input: PNG - Quality: 90EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881122334455SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.16, N = 3SE +/- 0.36, N = 3SE +/- 0.44, N = 3SE +/- 0.30, N = 10SE +/- 0.28, N = 3SE +/- 0.24, N = 3SE +/- 0.19, N = 322.2429.6535.0836.0240.1838.7248.5345.3831.811. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 6.01, N = 3SE +/- 8.54, N = 5SE +/- 3.04, N = 3SE +/- 4.56, N = 3SE +/- 4.87, N = 3SE +/- 1.07, N = 3SE +/- 4.31, N = 3SE +/- 1.42, N = 3SE +/- 1.92, N = 3860.75529.44465.51462.14421.83407.64399.56398.76524.13MAX: 28570.46MAX: 28194.55MAX: 27554.23MAX: 27920.53MAX: 27011.65MAX: 26798.87MAX: 27980.82MAX: 26832.58MAX: 26588.63

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488918273645SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.31, N = 8SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 319.0625.3630.4930.7035.0136.2341.0240.4822.98

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248816M32M48M64M80MSE +/- 143283.84, N = 3SE +/- 580368.90, N = 5SE +/- 178945.47, N = 3SE +/- 441409.11, N = 3SE +/- 367807.54, N = 3SE +/- 171497.11, N = 3SE +/- 597457.28, N = 3SE +/- 219419.50, N = 3SE +/- 207001.08, N = 3347244895612224363954176641825637022686872710592737160257457989656494499

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810K20K30K40K50KSE +/- 13.18, N = 3SE +/- 5.49, N = 3SE +/- 20.15, N = 3SE +/- 14.25, N = 3SE +/- 229.09, N = 3SE +/- 193.15, N = 3SE +/- 110.88, N = 3SE +/- 481.60, N = 5SE +/- 96.46, N = 322316.9522331.4622976.5322935.2737547.7640212.6544844.1347856.8728326.361. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250SE +/- 0.96, N = 3SE +/- 0.11, N = 3SE +/- 0.64, N = 3SE +/- 0.48, N = 3SE +/- 0.12, N = 3SE +/- 0.27, N = 3SE +/- 0.21, N = 3SE +/- 0.15, N = 3SE +/- 0.51, N = 3216.40136.58122.33122.55108.81105.03103.37101.02137.92MAX: 24148.64MAX: 23944.74MAX: 23948.29MAX: 23938.16MAX: 23915.13MAX: 23941.39MAX: 23852.59MAX: 23859.84MAX: 23917.2

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 32EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488200M400M600M800M1000MSE +/- 104774.89, N = 3SE +/- 383507.21, N = 3SE +/- 1997031.13, N = 3SE +/- 812656.82, N = 3SE +/- 956399.50, N = 3SE +/- 3918917.08, N = 3SE +/- 67412.49, N = 3SE +/- 1995247.13, N = 3SE +/- 5153390.47, N = 33717133335461366677180200007355666677284600007183066677959666677726166677110500001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.3.4Time To CompileEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.18, N = 3SE +/- 0.22, N = 3SE +/- 0.20, N = 385.8063.3054.0453.7645.5943.9940.1140.1054.45

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 0.10.1Input: JPEG - Quality: 90EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881122334455SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.30, N = 3SE +/- 0.46, N = 3SE +/- 0.38, N = 3SE +/- 0.37, N = 10SE +/- 0.47, N = 6SE +/- 0.09, N = 322.7130.1935.6037.1841.7740.0148.5947.0532.511. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 310.186.605.044.785.645.325.125.109.94MIN: 5.72 / MAX: 20.75MIN: 4.29 / MAX: 16.53MIN: 3.47 / MAX: 17.02MIN: 3.18 / MAX: 16.31MIN: 3.48 / MAX: 18.22MIN: 3.77 / MAX: 11.07MIN: 3.61 / MAX: 15.43MIN: 3.41 / MAX: 14.16MIN: 6.2 / MAX: 41.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: CaffeNet 12-int8 - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 1.46, N = 3SE +/- 5.55, N = 6SE +/- 2.32, N = 3SE +/- 7.12, N = 3SE +/- 7.33, N = 3SE +/- 5.20, N = 3SE +/- 8.14, N = 3SE +/- 8.12, N = 7SE +/- 3.86, N = 3420.70583.98672.35677.58719.99769.69829.19895.93557.411. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: ResNet-50EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488918273645SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 319.0125.7031.0030.7934.7234.7839.9940.3723.19

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488918273645SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 319.1125.5030.6430.5334.6834.7640.2440.4923.10

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488918273645SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 319.2425.4330.5030.6334.7934.9540.6840.3323.07

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248816M32M48M64M80MSE +/- 161259.81, N = 3SE +/- 45916.59, N = 3SE +/- 302032.90, N = 3SE +/- 268932.10, N = 3SE +/- 59581.06, N = 3SE +/- 81989.58, N = 3SE +/- 205604.00, N = 3SE +/- 138400.03, N = 3SE +/- 209117.79, N = 3360521825668905263086247629514587054497973321638740752447603185056035278

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488140280420560700SE +/- 0.40, N = 11SE +/- 0.74, N = 12SE +/- 0.93, N = 12SE +/- 0.74, N = 12SE +/- 1.70, N = 12SE +/- 0.82, N = 12SE +/- 1.66, N = 15SE +/- 1.39, N = 12SE +/- 0.76, N = 12313.43449.57528.23546.71581.67568.41660.34631.94548.041. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488600K1200K1800K2400K3000KSE +/- 5732.94, N = 3SE +/- 2410.81, N = 3SE +/- 1251.53, N = 3SE +/- 1406.43, N = 3SE +/- 6109.05, N = 3SE +/- 284.11, N = 3SE +/- 2327.92, N = 3SE +/- 1095.04, N = 3SE +/- 4914.43, N = 31323685180641022225562138776216669918419702770195270638521209151. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/pathtracer/real_timeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250SE +/- 0.27, N = 3SE +/- 0.31, N = 3SE +/- 0.28, N = 3SE +/- 0.61, N = 3SE +/- 0.64, N = 3SE +/- 1.13, N = 3SE +/- 0.68, N = 3SE +/- 1.24, N = 3SE +/- 0.42, N = 3105.66132.40158.59170.39193.97182.05220.91209.22157.97

MariaDB

This is a MariaDB MySQL database server benchmark making use of sysbench rather than the existing pts/mysqlslap test profile that uses MariaDB with mysqlslap/mariadb-slap as the benchmark driver. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.5Test: oltp_update_non_index - Threads: 64EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850K100K150K200K250KSE +/- 188.07, N = 3SE +/- 223.22, N = 3SE +/- 120.42, N = 3SE +/- 295.88, N = 3SE +/- 159.15, N = 3SE +/- 1725.95, N = 9SE +/- 290.99, N = 3SE +/- 355.20, N = 3SE +/- 516.32, N = 3113348162697197477201401191756185239233313227813220068-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

GPAW

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 23.6Input: Carbon NanotubeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870140210280350SE +/- 0.42, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 2.92, N = 3SE +/- 2.27, N = 3SE +/- 1.91, N = 3SE +/- 1.88, N = 3SE +/- 3.67, N = 10SE +/- 8.24, N = 12318.67237.24203.43205.87177.02191.34154.99154.85228.901. (CC) gcc options: -shared -fwrapv -O2 -lxc -lblas -lmpi

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: input.i3d 129 Cells Per DirectionEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488714212835SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 9SE +/- 0.17, N = 15SE +/- 0.15, N = 15SE +/- 0.12, N = 15SE +/- 0.11, N = 15SE +/- 0.22, N = 328.4121.8020.3921.8717.2914.7616.5913.8219.751. (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

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488130260390520650SE +/- 0.48, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 0.11, N = 3SE +/- 0.24, N = 3SE +/- 0.41, N = 3SE +/- 0.59, N = 3585.23393.13299.02285.97331.37313.09301.79312.52384.09MIN: 563.46 / MAX: 593.11MIN: 378.57 / MAX: 400.92MIN: 288.59 / MAX: 303.77MIN: 150.08 / MAX: 303.22MIN: 179.64 / MAX: 354.6MIN: 291.27 / MAX: 322.77MIN: 278.87 / MAX: 327.8MIN: 167.86 / MAX: 330.96MIN: 285.45 / MAX: 543.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FastEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 311.4315.5418.3018.7720.2119.9423.1921.7215.461. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: fcn-resnet101-11 - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.39730.79461.19191.58921.9865SE +/- 0.035957, N = 12SE +/- 0.007958, N = 3SE +/- 0.013735, N = 4SE +/- 0.018640, N = 15SE +/- 0.015352, N = 3SE +/- 0.014994, N = 3SE +/- 0.005924, N = 3SE +/- 0.015047, N = 15SE +/- 0.013081, N = 140.8711560.9594411.1281001.1605401.4134901.4932701.7634901.7658801.0428121. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881326395265SE +/- 0.39, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3SE +/- 0.36, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.23, N = 359.4742.1136.9036.9032.5630.4729.4429.5038.131. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

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 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.16, N = 5SE +/- 0.38, N = 6SE +/- 0.54, N = 6SE +/- 0.53, N = 6SE +/- 0.15, N = 7SE +/- 0.18, N = 7SE +/- 0.21, N = 7SE +/- 0.21, N = 7SE +/- 0.77, N = 1558.6280.5886.7889.12103.2599.22118.06109.5784.331. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881020304050SE +/- 0.23, N = 12SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 3SE +/- 0.94, N = 15SE +/- 0.34, N = 3SE +/- 1.58, N = 1523.0434.8843.8945.1139.5341.3443.3846.2032.25MIN: 15.25 / MAX: 23.79MIN: 21.67 / MAX: 35.54MIN: 42.37 / MAX: 45.05MIN: 43.61 / MAX: 45.86MIN: 38.01 / MAX: 40.46MIN: 30.45 / MAX: 41.8MIN: 34.95 / MAX: 46.71MIN: 43.63 / MAX: 47.16MIN: 23.14 / MAX: 40.93

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2 Database EngineEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24887001400210028003500SE +/- 22.07, N = 3SE +/- 14.53, N = 3SE +/- 11.72, N = 3SE +/- 7.51, N = 3SE +/- 23.54, N = 4SE +/- 9.02, N = 3SE +/- 13.96, N = 3SE +/- 5.29, N = 3SE +/- 23.84, N = 3343823941992197719141850182617152128

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 1080pEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488612182430SE +/- 0.01, N = 4SE +/- 0.02, N = 5SE +/- 0.04, N = 5SE +/- 0.07, N = 5SE +/- 0.04, N = 6SE +/- 0.07, N = 6SE +/- 0.13, N = 6SE +/- 0.08, N = 6SE +/- 0.15, N = 512.1816.5419.5519.8921.5120.7524.1722.1715.921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

CloverLeaf

CloverLeaf is a Lagrangian-Eulerian hydrodynamics benchmark. This test profile currently makes use of CloverLeaf's OpenMP version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bmEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.21, N = 3SE +/- 0.13, N = 3SE +/- 0.05, N = 3SE +/- 0.21, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 3SE +/- 0.45, N = 3SE +/- 0.47, N = 6SE +/- 0.27, N = 392.4277.2374.5986.8269.9885.7372.8847.0264.581. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

MariaDB

This is a MariaDB MySQL database server benchmark making use of sysbench rather than the existing pts/mysqlslap test profile that uses MariaDB with mysqlslap/mariadb-slap as the benchmark driver. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.5Test: oltp_update_index - Threads: 64EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248840K80K120K160K200KSE +/- 107.36, N = 3SE +/- 254.61, N = 3SE +/- 133.22, N = 3SE +/- 308.54, N = 3SE +/- 411.40, N = 3SE +/- 173.91, N = 3SE +/- 282.52, N = 3SE +/- 412.73, N = 3SE +/- 250.58, N = 3101087142647173080177579168313159977198538196283187089-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper BeamEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250SE +/- 0.17, N = 3SE +/- 0.20, N = 3SE +/- 0.23, N = 3SE +/- 3.91, N = 12SE +/- 2.01, N = 15SE +/- 1.43, N = 5SE +/- 1.49, N = 15SE +/- 1.50, N = 3SE +/- 2.49, N = 12210.60140.76124.70145.32118.52138.93108.64117.99153.90

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.18, N = 3SE +/- 0.39, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 3SE +/- 0.38, N = 3SE +/- 0.06, N = 3SE +/- 0.48, N = 3SE +/- 0.38, N = 3SE +/- 0.77, N = 3126.5090.0276.5272.7080.7970.3190.4983.18134.54MIN: 102.39 / MAX: 136.9MIN: 43.62 / MAX: 98.59MIN: 52.86 / MAX: 94.9MIN: 40.38 / MAX: 84.07MIN: 30.58 / MAX: 108.27MIN: 50.95 / MAX: 96.87MIN: 55.81 / MAX: 127.95MIN: 38.33 / MAX: 120MIN: 98.92 / MAX: 233.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 38.268.498.837.959.288.099.908.4015.21MIN: 5.5 / MAX: 13.88MIN: 5.12 / MAX: 20.17MIN: 5.3 / MAX: 14.21MIN: 5 / MAX: 23.85MIN: 5.38 / MAX: 30.18MIN: 5.45 / MAX: 16.52MIN: 6.53 / MAX: 37.69MIN: 5.53 / MAX: 31MIN: 10.08 / MAX: 64.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.57, N = 3SE +/- 0.11, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.09, N = 3SE +/- 1.01, N = 3SE +/- 0.45, N = 3SE +/- 0.73, N = 3126.0690.5076.3672.5281.5670.4489.9883.30133.99MIN: 63.05 / MAX: 145.09MIN: 68.02 / MAX: 98.61MIN: 56.38 / MAX: 88.42MIN: 28.47 / MAX: 87.6MIN: 55.87 / MAX: 108.66MIN: 48.46 / MAX: 97.28MIN: 63.39 / MAX: 124.53MIN: 29.23 / MAX: 114.06MIN: 103.21 / MAX: 233.721. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248880160240320400387.88297.17262.84296.21254.77243.10226.01204.60225.951. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FasterEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881122334455SE +/- 0.02, N = 3SE +/- 0.06, N = 4SE +/- 0.12, N = 4SE +/- 0.04, N = 4SE +/- 0.10, N = 4SE +/- 0.07, N = 4SE +/- 0.11, N = 4SE +/- 0.12, N = 4SE +/- 0.25, N = 427.3537.6343.8345.1446.1645.9850.9148.8640.071. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

DuckDB

DuckDB is an in-progress SQL OLAP database management system optimized for analytics and features a vectorized and parallel engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDuckDB 0.9.1Benchmark: IMDBEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.29, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3152.68115.64101.97100.6390.0387.8482.3883.7299.581. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search EngineEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24888001600240032004000SE +/- 35.27, N = 4SE +/- 20.21, N = 5SE +/- 19.37, N = 5SE +/- 18.64, N = 5SE +/- 18.41, N = 5SE +/- 7.90, N = 5SE +/- 9.53, N = 5SE +/- 16.10, N = 5SE +/- 50.09, N = 15385428292391240923742313208021273113

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.49, N = 3SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.29, N = 3SE +/- 0.05, N = 3SE +/- 0.20, N = 3109.5276.6968.5868.1662.3060.5260.6659.6177.24MAX: 24035.02MAX: 23999.1MAX: 23897.06MAX: 23889.9MAX: 23874.13MAX: 23884.06MAX: 23861.25MAX: 23860.38MAX: 23891.04

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project 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.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput TotalEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 2.54, N = 6SE +/- 0.65, N = 6SE +/- 0.05, N = 5SE +/- 0.10, N = 6SE +/- 0.14, N = 4SE +/- 0.05, N = 4SE +/- 0.05, N = 4SE +/- 18.52, N = 4SE +/- 9.26, N = 15881.51206.01469.81470.51351.91273.91611.51592.31068.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 613.1 / MAX: 888.5-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 763.8 / MAX: 1207.4-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 849.1 / MAX: 1470-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 849.1 / MAX: 1470.7-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 955 / MAX: 1352.2-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 849.1 / MAX: 1274-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1019.4 / MAX: 1611.6-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 927.1 / MAX: 1610.9MIN: 637.2 / MAX: 1111.51. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.62, N = 3SE +/- 0.72, N = 3SE +/- 0.39, N = 3SE +/- 0.24, N = 3SE +/- 0.32, N = 3SE +/- 0.40, N = 3SE +/- 0.82, N = 3SE +/- 0.56, N = 3SE +/- 0.54, N = 3167.03117.14105.70105.5895.0992.9192.0892.27119.49MAX: 17738.52MAX: 15130.91MAX: 13869.85MAX: 15103.61MAX: 12619.54MAX: 12607.68MAX: 11356.99MAX: 11332.45MAX: 13845.12

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810K20K30K40K50KSE +/- 7.85, N = 3SE +/- 11.58, N = 3SE +/- 38.55, N = 3SE +/- 613.23, N = 15SE +/- 221.05, N = 3SE +/- 13.15, N = 3SE +/- 521.71, N = 15SE +/- 266.87, N = 3SE +/- 714.33, N = 1526610.4926620.6940284.2337149.8841255.9843166.1047556.6948014.8640491.561. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820M40M60M80M100MSE +/- 188707.13, N = 3SE +/- 57777.29, N = 3SE +/- 77775.76, N = 3SE +/- 296062.71, N = 3SE +/- 132686.57, N = 3SE +/- 198325.80, N = 3SE +/- 390613.00, N = 3SE +/- 118053.95, N = 3SE +/- 232749.13, N = 3439340086234888169342377695614497567015177878702776056277915944161842388

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 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248880016002400320040003645.542944.552781.242827.882407.902123.992351.512040.352260.991. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820M40M60M80M100MSE +/- 147160.66, N = 3SE +/- 200521.84, N = 3SE +/- 216731.24, N = 3SE +/- 282897.65, N = 3SE +/- 105860.93, N = 3SE +/- 51778.51, N = 3SE +/- 368630.91, N = 3SE +/- 356287.02, N = 3SE +/- 262085.32, N = 3448284356354137870293571703052857743401179324034793153197999961162558098

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860120180240300SE +/- 0.19, N = 3SE +/- 1.04, N = 3SE +/- 0.75, N = 3SE +/- 1.00, N = 3SE +/- 2.91, N = 3SE +/- 1.95, N = 3SE +/- 1.51, N = 5SE +/- 3.27, N = 3SE +/- 3.87, N = 3165.39211.23230.37236.47256.89279.62248.89293.87249.50MIN: 5.27 / MAX: 10000MIN: 7.98 / MAX: 10000MIN: 10.32 / MAX: 10000MIN: 10.66 / MAX: 10000MIN: 13.95 / MAX: 10000MIN: 14.87 / MAX: 8571.43MIN: 15.92 / MAX: 8571.43MIN: 18.95 / MAX: 10000MIN: 9.27 / MAX: 12000

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 1.90, N = 3SE +/- 2.88, N = 3SE +/- 1.89, N = 3SE +/- 10.68, N = 9SE +/- 9.60, N = 3SE +/- 2.98, N = 3SE +/- 4.49, N = 3SE +/- 8.46, N = 9SE +/- 17.37, N = 71462.601126.52967.201003.59936.34978.51891.84823.26983.54

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820M40M60M80M100MSE +/- 492377.86, N = 5SE +/- 173074.65, N = 3SE +/- 612351.99, N = 3SE +/- 255843.12, N = 3SE +/- 191894.24, N = 3SE +/- 707677.76, N = 3SE +/- 818556.17, N = 3SE +/- 243124.87, N = 3SE +/- 922667.78, N = 3453554296251824571203893713387407623218578204086784543168018926364886364

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890180270360450SE +/- 5.93, N = 3SE +/- 1.17, N = 3SE +/- 6.43, N = 3SE +/- 1.82, N = 3SE +/- 3.20, N = 3SE +/- 0.75, N = 3SE +/- 2.35, N = 3SE +/- 1.32, N = 3SE +/- 4.53, N = 3406.06295.34260.60268.42244.44237.32235.16232.67290.14MAX: 27165.87MAX: 26742.14MAX: 26603.07MAX: 27440.82MAX: 26631.84MAX: 26320.16MAX: 26882.16MAX: 26680.29MAX: 26535.45

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820M40M60M80M100MSE +/- 415945.47, N = 3SE +/- 77022.60, N = 3SE +/- 676495.92, N = 3SE +/- 261270.67, N = 3SE +/- 718192.76, N = 3SE +/- 169341.63, N = 3SE +/- 360981.97, N = 3SE +/- 285870.90, N = 3SE +/- 787042.09, N = 3451178526245919570107030691441647472357977172160776589147860081962655549

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: PMD Source Code AnalyzerEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488400800120016002000SE +/- 8.71, N = 6SE +/- 9.62, N = 11SE +/- 8.67, N = 11SE +/- 9.55, N = 7SE +/- 7.50, N = 7SE +/- 9.69, N = 7SE +/- 5.68, N = 7SE +/- 3.44, N = 7SE +/- 8.96, N = 15182412981155111311091101105310511122

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860120180240300SE +/- 0.26, N = 3SE +/- 1.41, N = 3SE +/- 2.33, N = 3SE +/- 4.93, N = 3SE +/- 4.31, N = 3SE +/- 2.40, N = 3SE +/- 2.29, N = 5SE +/- 2.43, N = 3SE +/- 1.74, N = 3168.41214.00233.30232.47259.35291.70251.80291.26249.90MIN: 5.2 / MAX: 10000MIN: 7.95 / MAX: 10000MIN: 10.46 / MAX: 10000MIN: 10.67 / MAX: 12000MIN: 13.75 / MAX: 10000MIN: 14.85 / MAX: 10000MIN: 15.75 / MAX: 10000MIN: 16.56 / MAX: 7500MIN: 9.25 / MAX: 12000

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 10Input: drivaerFastback, Small Mesh Size - Mesh TimeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488112233445550.9039.1633.3338.1732.8533.6530.7729.6935.191. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfoamToVTK -ldynamicMesh -llagrangian -lgenericPatchFields -lfileFormats -lOpenFOAM -ldl -lm

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860120180240300SE +/- 1.34, N = 3SE +/- 1.29, N = 3SE +/- 1.31, N = 3SE +/- 1.84, N = 3SE +/- 0.94, N = 3SE +/- 1.12, N = 3SE +/- 2.37, N = 5SE +/- 1.16, N = 3SE +/- 1.98, N = 3155.72195.64213.47222.47233.74258.37227.39265.18234.39MIN: 5.21 / MAX: 8571.43MIN: 7.8 / MAX: 10000MIN: 10.21 / MAX: 8571.43MIN: 10.49 / MAX: 12000MIN: 13.67 / MAX: 10000MIN: 14.45 / MAX: 10000MIN: 13.31 / MAX: 10000MIN: 14.2 / MAX: 10000MIN: 9.14 / MAX: 12000

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488110220330440550SE +/- 9.34, N = 5SE +/- 2.59, N = 3SE +/- 6.58, N = 3SE +/- 6.12, N = 3SE +/- 1.97, N = 3SE +/- 5.21, N = 3SE +/- 5.40, N = 3SE +/- 1.19, N = 3SE +/- 10.20, N = 3531.88406.89350.00347.97333.41326.49321.29316.26382.48MAX: 28595.84MAX: 27507.51MAX: 27235.37MAX: 27085.8MAX: 26859.8MAX: 27383.3MAX: 27126.33MAX: 27135.69MAX: 27376.22

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881530456075SE +/- 0.16, N = 3SE +/- 0.26, N = 3SE +/- 0.65, N = 3SE +/- 1.84, N = 15SE +/- 0.11, N = 3SE +/- 0.30, N = 3SE +/- 0.90, N = 15SE +/- 0.68, N = 6SE +/- 1.37, N = 1241.0958.4968.6767.4856.9661.3465.6968.8061.49MIN: 39.2 / MAX: 41.9MIN: 55.22 / MAX: 59.43MIN: 64.12 / MAX: 71.37MIN: 46.76 / MAX: 74.15MIN: 52.49 / MAX: 58MIN: 50.53 / MAX: 62.03MIN: 53.12 / MAX: 69.76MIN: 59.18 / MAX: 72.68MIN: 40.06 / MAX: 72.22

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample high resolution (currently 15400 x 6940) JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: HWB Color SpaceEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248870140210280350SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 1.20, N = 3SE +/- 0.33, N = 3SE +/- 1.53, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 3SE +/- 1.73, N = 3SE +/- 0.67, N = 31902272492552582362782683151. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248861218243023.2018.8516.8216.5815.0615.2114.1314.5916.85

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883K6K9K12K15KSE +/- 7.32, N = 3SE +/- 7.67, N = 3SE +/- 5.49, N = 3SE +/- 1.44, N = 3SE +/- 27.04, N = 3SE +/- 10.77, N = 3SE +/- 146.76, N = 5SE +/- 188.19, N = 3SE +/- 4.20, N = 39840.1310028.7410088.5010027.1111606.2214130.3013374.3515940.6111387.051. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488612182430SE +/- 0.18, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 15SE +/- 0.23, N = 15SE +/- 0.03, N = 3SE +/- 0.48, N = 12SE +/- 0.03, N = 314.918.018.318.020.024.018.822.516.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881.14082.28163.42244.56325.704SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.233.273.353.163.643.533.333.515.07MIN: 1.85 / MAX: 13.26MIN: 1.84 / MAX: 8.95MIN: 1.81 / MAX: 10.37MIN: 1.77 / MAX: 13.91MIN: 1.95 / MAX: 15.55MIN: 1.95 / MAX: 9.62MIN: 1.88 / MAX: 15.67MIN: 1.92 / MAX: 13.78MIN: 2.36 / MAX: 27.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: input.i3d 193 Cells Per DirectionEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.30, N = 3SE +/- 0.27, N = 3SE +/- 0.40, N = 3SE +/- 0.60, N = 15SE +/- 0.58, N = 10SE +/- 0.83, N = 3SE +/- 0.87, N = 15104.2289.8785.3487.7775.6870.7173.8865.1173.721. (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

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: GoogLeNetEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881428425670SE +/- 0.04, N = 7SE +/- 0.15, N = 8SE +/- 0.09, N = 8SE +/- 0.10, N = 9SE +/- 0.08, N = 8SE +/- 0.18, N = 8SE +/- 0.18, N = 8SE +/- 0.18, N = 8SE +/- 0.05, N = 839.3852.3661.8862.9954.4955.8957.3460.1451.33

Apache IoTDB

Apache IotDB is a time series database and this benchmark is facilitated using the IoT Benchmaark [https://github.com/thulab/iot-benchmark/]. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100SE +/- 0.35, N = 3SE +/- 0.44, N = 3SE +/- 0.91, N = 3SE +/- 0.31, N = 3SE +/- 0.39, N = 3SE +/- 0.22, N = 3SE +/- 0.10, N = 3SE +/- 0.42, N = 3SE +/- 0.51, N = 3103.0279.6471.6670.7066.4964.5565.6364.5280.56MAX: 13961.1MAX: 15110.81MAX: 13850.52MAX: 13822.83MAX: 13829.28MAX: 15090.58MAX: 12576.01MAX: 12582.24MAX: 15084.51

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248815M30M45M60M75MSE +/- 87332.86, N = 3SE +/- 151013.56, N = 3SE +/- 364826.83, N = 3SE +/- 42980.57, N = 3SE +/- 282335.19, N = 3SE +/- 128616.25, N = 3SE +/- 41672.18, N = 3SE +/- 248696.67, N = 3SE +/- 205982.51, N = 3450658375792524564201036647812856873598570752573698575197089646957028398

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248815M30M45M60M75MSE +/- 134066.50, N = 3SE +/- 374209.00, N = 3SE +/- 402227.19, N = 3SE +/- 418677.10, N = 3SE +/- 162538.27, N = 3SE +/- 347434.46, N = 3SE +/- 489754.87, N = 3SE +/- 262014.17, N = 3SE +/- 245819.57, N = 3452265595719064863451680646555026877181469435597697311667081737357760197

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248880160240320400SE +/- 2.44, N = 3SE +/- 3.65, N = 3SE +/- 3.35, N = 3SE +/- 2.74, N = 3SE +/- 1.22, N = 3SE +/- 3.51, N = 3SE +/- 3.67, N = 3SE +/- 1.59, N = 3SE +/- 1.91, N = 3346.65275.62250.94243.61231.55231.39230.41227.34275.14MAX: 27744.45MAX: 28062.74MAX: 27118.82MAX: 26975.13MAX: 27011.78MAX: 27094.18MAX: 26735.87MAX: 26429.57MAX: 27185.57

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 5SE +/- 0.01, N = 39.0010.2010.5010.2011.5013.2010.7012.908.911. (CC) gcc options: -O3 -pthread -lz -llzma

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: StandardEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 1.62, N = 3SE +/- 1.77, N = 4SE +/- 1.14, N = 3SE +/- 0.71, N = 3SE +/- 2.03, N = 4SE +/- 2.12, N = 15SE +/- 2.20, N = 3SE +/- 1.28, N = 3SE +/- 2.25, N = 15142.21152.18143.50139.48168.62204.34162.33199.25169.621. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488130260390520650SE +/- 3.40, N = 4SE +/- 2.17, N = 4SE +/- 2.21, N = 4SE +/- 2.53, N = 4SE +/- 5.33, N = 4SE +/- 6.12, N = 4SE +/- 6.41, N = 4SE +/- 6.56, N = 15SE +/- 2.82, N = 5552550532527526602533571415

Google Draco

Draco is a library developed by Google for compressing/decompressing 3D geometric meshes and point clouds. This test profile uses some Artec3D PLY models as the sample 3D model input formats for Draco compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church FacadeEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248812002400360048006000SE +/- 12.94, N = 6SE +/- 16.57, N = 6SE +/- 5.95, N = 7SE +/- 10.00, N = 7SE +/- 26.89, N = 7SE +/- 4.33, N = 6SE +/- 29.27, N = 6SE +/- 90.20, N = 15SE +/- 17.70, N = 65708516049885083503751325224397856071. (CXX) g++ options: -O3

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.01, N = 4SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 512.1815.6117.4517.4714.7614.7614.9315.1213.71

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.090.180.270.360.45SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.290.320.290.280.320.310.290.300.40MIN: 0.16 / MAX: 4.31MIN: 0.16 / MAX: 7.47MIN: 0.16 / MAX: 5.09MIN: 0.15 / MAX: 7.71MIN: 0.16 / MAX: 9.37MIN: 0.16 / MAX: 7.6MIN: 0.16 / MAX: 8.63MIN: 0.16 / MAX: 8.01MIN: 0.18 / MAX: 8.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 324.4229.1731.7331.9532.4031.3234.2132.1428.891. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: T5 Encoder - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.17, N = 3SE +/- 0.12, N = 3SE +/- 0.50, N = 3SE +/- 1.35, N = 3SE +/- 0.51, N = 3SE +/- 0.37, N = 3SE +/- 0.69, N = 3SE +/- 0.57, N = 3SE +/- 0.97, N = 3134.74147.28138.37141.63155.88187.78156.77183.82161.311. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 35.805.755.875.636.496.175.966.217.78MIN: 3.05 / MAX: 14.45MIN: 3.02 / MAX: 14.8MIN: 3.03 / MAX: 15.22MIN: 2.98 / MAX: 16.09MIN: 3.31 / MAX: 18.52MIN: 3.21 / MAX: 15.44MIN: 3.08 / MAX: 18.52MIN: 3.24 / MAX: 18.16MIN: 3.64 / MAX: 44.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881632486480SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 351.0760.2064.9265.3565.8763.7069.8165.2458.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881632486480SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.19, N = 3SE +/- 0.22, N = 351.1160.2364.7765.2665.8263.6869.8065.4958.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

MariaDB mariadb-slap

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

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB mariadb-slap 11.5Clients: 128EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488130260390520650SE +/- 0.18, N = 3SE +/- 0.54, N = 3SE +/- 0.66, N = 3SE +/- 0.74, N = 3SE +/- 0.23, N = 3SE +/- 0.93, N = 3SE +/- 0.54, N = 3SE +/- 0.71, N = 3SE +/- 1.05, N = 3449517565580586561612582574-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: GPT-2 - Device: CPU - Executor: StandardEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 2.03, N = 15SE +/- 0.08, N = 3SE +/- 1.56, N = 4SE +/- 0.21, N = 3SE +/- 1.56, N = 4SE +/- 3.26, N = 12SE +/- 1.39, N = 15SE +/- 0.20, N = 3SE +/- 0.39, N = 3119.46134.45134.74123.95140.98161.84133.17140.35126.671. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

MariaDB mariadb-slap

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

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB mariadb-slap 11.5Clients: 64EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830060090012001500SE +/- 2.10, N = 3SE +/- 3.77, N = 3SE +/- 3.26, N = 3SE +/- 5.66, N = 3SE +/- 7.01, N = 3SE +/- 5.80, N = 3SE +/- 4.85, N = 3SE +/- 4.14, N = 3SE +/- 4.64, N = 387810091095112411311076118311241128-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

Z3 Theorem Prover

The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 2.smt2EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881428425670SE +/- 0.22, N = 3SE +/- 0.33, N = 3SE +/- 0.40, N = 3SE +/- 0.27, N = 3SE +/- 0.39, N = 3SE +/- 0.51, N = 3SE +/- 0.53, N = 3SE +/- 0.02, N = 3SE +/- 0.51, N = 356.8649.3247.7348.6850.4647.2348.8847.5763.081. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project 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.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput ThreadEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 5.88, N = 9SE +/- 6.27, N = 10SE +/- 7.98, N = 10SE +/- 3.24, N = 10SE +/- 7.68, N = 9SE +/- 1.53, N = 9SE +/- 5.92, N = 10SE +/- 3.58, N = 9SE +/- 5.58, N = 91023.81073.61071.01061.51034.9908.81049.1907.5809.6-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq-mavx512f -mavx512cd -mavx512bw -mavx512dq1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.04, N = 3SE +/- 0.31, N = 3SE +/- 0.58, N = 3SE +/- 0.17, N = 3SE +/- 0.29, N = 3SE +/- 1.34, N = 3SE +/- 0.71, N = 3SE +/- 0.59, N = 3SE +/- 1.39, N = 3141.03162.38176.63179.99177.93171.60186.42176.69178.151. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881224364860SE +/- 0.02, N = 3SE +/- 0.15, N = 3SE +/- 0.32, N = 3SE +/- 0.43, N = 3SE +/- 0.46, N = 3SE +/- 0.08, N = 3SE +/- 0.21, N = 3SE +/- 0.57, N = 4SE +/- 0.30, N = 342.0446.5649.8150.5349.5548.1452.7253.1541.011. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: GPT-2 - Device: CPU - Executor: ParallelEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.23, N = 3SE +/- 0.41, N = 3SE +/- 0.39, N = 3SE +/- 0.48, N = 3SE +/- 0.12, N = 3SE +/- 0.89, N = 3SE +/- 0.46, N = 3107.58118.96121.29120.28121.99137.92122.63139.02123.281. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248814M28M42M56M70MSE +/- 333.33, N = 3SE +/- 2905.93, N = 3SE +/- 1855.92, N = 3SE +/- 2645.75, N = 3SE +/- 26514.15, N = 3SE +/- 16522.71, N = 3SE +/- 318365.79, N = 3SE +/- 223381.09, N = 3SE +/- 637003.49, N = 35027733350272333522516675365900053147000510310005301866749584667632366671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24888001600240032004000SE +/- 12.81, N = 3SE +/- 13.60, N = 3SE +/- 28.17, N = 3SE +/- 30.89, N = 3SE +/- 38.91, N = 4SE +/- 15.03, N = 3SE +/- 41.68, N = 3SE +/- 16.31, N = 33288.43060.53042.03338.23515.93265.23350.93695.4MIN: 3264.51 / MAX: 4523.94MIN: 3036.07 / MAX: 4235.11MIN: 3011.87 / MAX: 4321.7MIN: 3297.53 / MAX: 4743.03MIN: 3407.81 / MAX: 4967.72MIN: 3236.75 / MAX: 4741.82MIN: 3285.69 / MAX: 4786.32MIN: 3664.8 / MAX: 5363.87

Test: Savina Reactors.IO

EPYC 4124P: The test quit with a non-zero exit status. The test run did not produce a result. E: sh: 1: exec: ./renaissance: not found

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250233.27214.38202.26200.98197.98199.92193.47198.06197.92

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882004006008001000SE +/- 1.58, N = 3SE +/- 2.19, N = 3SE +/- 1.60, N = 3SE +/- 3.59, N = 3SE +/- 0.83, N = 3SE +/- 0.68, N = 3SE +/- 2.05, N = 3SE +/- 3.03, N = 3SE +/- 1.43, N = 3710.18773.69804.51808.62812.29791.79803.04746.24675.48

srsRAN Project

srsRAN Project is a complete ORAN-native 5G RAN solution created by Software Radio Systems (SRS). The srsRAN Project 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.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput ThreadEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.00, N = 4SE +/- 3.58, N = 15SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.03, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 7.12, N = 15183.4179.8183.4183.6183.6183.4183.5183.6153.6-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9 / MAX: 183.4-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 106-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 106-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 106MIN: 105.1 / MAX: 182.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 8.4.0EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488246810SE +/- 0.012, N = 7SE +/- 0.013, N = 7SE +/- 0.016, N = 7SE +/- 0.017, N = 7SE +/- 0.018, N = 7SE +/- 0.016, N = 7SE +/- 0.021, N = 7SE +/- 0.020, N = 7SE +/- 0.011, N = 65.8805.6945.5835.5875.8155.5265.7805.4806.462

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884M8M12M16M20MSE +/- 229945.89, N = 3SE +/- 150617.99, N = 3SE +/- 189549.47, N = 3SE +/- 250051.55, N = 3SE +/- 421403.42, N = 15SE +/- 44508.43, N = 3SE +/- 410224.76, N = 15SE +/- 267438.19, N = 15SE +/- 13650.40, N = 31820766718426333193650001961166718078200191250001896440019119067202550001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860120180240300Min: 52.3 / Avg: 99.43 / Max: 139.4Min: 51.6 / Avg: 115.02 / Max: 143.1Min: 51.9 / Avg: 120.42 / Max: 144Min: 67.4 / Avg: 159.31 / Max: 212.3Min: 84.9 / Avg: 130.63 / Max: 143.7Min: 53.5 / Avg: 128.7 / Max: 186.1Min: 90.7 / Avg: 202.74 / Max: 301Min: 76.2 / Avg: 149.2 / Max: 222.4Min: 51.7 / Avg: 138.43 / Max: 338.5

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200Min: 13.29 / Avg: 57.94 / Max: 90.46Min: 12.24 / Avg: 71.17 / Max: 91.98Min: 13.54 / Avg: 75.17 / Max: 92.35Min: 29.45 / Avg: 105.15 / Max: 145.99Min: 46.51 / Avg: 84.39 / Max: 91.68Min: 16.44 / Avg: 80.5 / Max: 123.57Min: 48.93 / Avg: 138.83 / Max: 208.13Min: 37.24 / Avg: 95.52 / Max: 147.11Min: 18.57 / Avg: 89.22 / Max: 198.5

CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000Min: 400 / Avg: 4694.07 / Max: 5214Min: 400 / Avg: 4805.55 / Max: 5230Min: 400 / Avg: 4794.94 / Max: 5417Min: 4543 / Avg: 5178.15 / Max: 5518Min: 3947 / Avg: 4915.82 / Max: 5476Min: 400 / Avg: 4831.8 / Max: 5638Min: 4577 / Avg: 5148.01 / Max: 5604Min: 4296 / Avg: 4927.95 / Max: 5702Min: 801 / Avg: 4466.33 / Max: 5638

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 Model Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInference Time Cost (ms), Fewer Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881.16572.33143.49714.66285.8285SE +/- 0.09911, N = 15SE +/- 0.05218, N = 15SE +/- 0.03376, N = 15SE +/- 0.00310, N = 3SE +/- 0.00434, N = 3SE +/- 0.05991, N = 15SE +/- 0.05300, N = 15SE +/- 0.06313, N = 15SE +/- 0.03583, N = 35.180983.437912.918463.091502.675542.663412.382992.413414.461701. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Second, More Is BetterONNX Runtime 1.17Model: ResNet50 v1-12-int8 - Device: CPU - Executor: StandardEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248890180270360450SE +/- 3.30, N = 15SE +/- 4.18, N = 15SE +/- 3.81, N = 15SE +/- 0.32, N = 3SE +/- 0.61, N = 3SE +/- 9.13, N = 15SE +/- 9.29, N = 15SE +/- 11.38, N = 15SE +/- 1.81, N = 3193.85291.71343.18323.38373.67378.25422.42418.47224.111. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

SVT-AV1

OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0System Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250Min: 54.1 / Avg: 95.37 / Max: 124.9Min: 53.4 / Avg: 96.49 / Max: 135.9Min: 53.5 / Avg: 97.56 / Max: 137.6Min: 69.1 / Avg: 135.43 / Max: 201.7Min: 92.3 / Avg: 113.17 / Max: 139.5Min: 72.5 / Avg: 106.27 / Max: 142.7Min: 96.5 / Avg: 160.58 / Max: 257.9Min: 87.4 / Avg: 116.78 / Max: 160.7Min: 53.1 / Avg: 139.35 / Max: 291.4

OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 2.0CPU Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150Min: 16.5 / Avg: 55.09 / Max: 79.61Min: 14.86 / Avg: 57.04 / Max: 90.38Min: 17.72 / Avg: 52.81 / Max: 86.02Min: 34.97 / Avg: 84.95 / Max: 119.79Min: 59.15 / Avg: 72.4 / Max: 84.51Min: 38.02 / Avg: 61.03 / Max: 80.68Min: 61.36 / Avg: 107.18 / Max: 143.06Min: 49.32 / Avg: 71.24 / Max: 87.22Min: 19.94 / Avg: 83.67 / Max: 140.47

OpenBenchmarking.orgMegahertz, More Is BetterSVT-AV1 2.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000Min: 400 / Avg: 4456.22 / Max: 5141Min: 400 / Avg: 4090.6 / Max: 5140Min: 400 / Avg: 4136 / Max: 5340Min: 5050 / Avg: 5231 / Max: 5488Min: 4265 / Avg: 5014.54 / Max: 5440Min: 4656 / Avg: 5022.46 / Max: 5265Min: 5067 / Avg: 5341.77 / Max: 5536Min: 4665 / Avg: 5036.36 / Max: 5403Min: 3900 / Avg: 4628.73 / Max: 5328

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.51661.03321.54982.06642.5831.2431.7112.2641.4471.9582.2961.5422.2741.250

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200SE +/- 0.56, N = 9SE +/- 0.98, N = 15SE +/- 1.88, N = 15SE +/- 2.01, N = 15SE +/- 2.97, N = 15SE +/- 2.98, N = 15SE +/- 4.27, N = 15SE +/- 4.16, N = 15SE +/- 0.99, N = 1568.4797.60119.57122.91141.77140.09165.29162.00104.611. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenRadioss

OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15System Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24884080120160200Min: 53.7 / Avg: 107.6 / Max: 110.8Min: 53.6 / Avg: 129.23 / Max: 134.8Min: 54.8 / Avg: 132.78 / Max: 139.8Min: 75.4 / Avg: 167.23 / Max: 182.1Min: 98.8 / Avg: 136.53 / Max: 141.3Min: 74 / Avg: 139.83 / Max: 156.7Min: 101.4 / Avg: 218.96 / Max: 242.9Min: 83.3 / Avg: 163.91 / Max: 181.2Min: 53.3 / Avg: 144.2 / Max: 243.3

OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150Min: 16.48 / Avg: 64.71 / Max: 68.56Min: 16.53 / Avg: 81.61 / Max: 87.66Min: 17.82 / Avg: 83.68 / Max: 90.4Min: 37.57 / Avg: 110.73 / Max: 122.22Min: 60.63 / Avg: 87.4 / Max: 90.41Min: 37.66 / Avg: 89 / Max: 101.5Min: 60.58 / Avg: 150.83 / Max: 170.13Min: 46.07 / Avg: 106.05 / Max: 119.17Min: 21.15 / Avg: 92.95 / Max: 162.3

OpenBenchmarking.orgMegahertz, More Is BetterOpenRadioss 2023.09.15CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000Min: 400 / Avg: 5060.94 / Max: 5140Min: 400 / Avg: 4945.43 / Max: 5137Min: 400 / Avg: 4730.46 / Max: 5340Min: 4849 / Avg: 5158.27 / Max: 5515Min: 4651 / Avg: 4861.54 / Max: 5304Min: 4692 / Avg: 4820.08 / Max: 5215Min: 4862 / Avg: 5088.49 / Max: 5537Min: 4692 / Avg: 4785.46 / Max: 5203Min: 3993 / Avg: 4423.44 / Max: 5416

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 0.33, N = 3SE +/- 0.21, N = 3SE +/- 0.37, N = 3SE +/- 3.06, N = 15SE +/- 1.62, N = 15SE +/- 1.45, N = 15SE +/- 1.68, N = 12SE +/- 0.42, N = 3SE +/- 3.30, N = 15138.7298.8580.0495.4875.8382.0267.7167.8893.26

OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15System Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250Min: 54.4 / Avg: 109.75 / Max: 111.2Min: 54.7 / Avg: 132.03 / Max: 136Min: 55.4 / Avg: 132.86 / Max: 137.3Min: 75.2 / Avg: 176.99 / Max: 191.4Min: 99.5 / Avg: 135.16 / Max: 138.6Min: 74.2 / Avg: 146.13 / Max: 157Min: 101.3 / Avg: 241.39 / Max: 265.9Min: 83.7 / Avg: 174.36 / Max: 196.5Min: 54.2 / Avg: 143.97 / Max: 246.8

OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150Min: 16.99 / Avg: 67.89 / Max: 70.08Min: 16.47 / Avg: 87.18 / Max: 90.37Min: 18.71 / Avg: 86.78 / Max: 90.38Min: 37.54 / Avg: 119.54 / Max: 131.85Min: 58.52 / Avg: 88.53 / Max: 90.38Min: 38.31 / Avg: 95.37 / Max: 103.37Min: 60.42 / Avg: 171.03 / Max: 189.55Min: 38.85 / Avg: 115.17 / Max: 132.31Min: 21.95 / Avg: 94.12 / Max: 160.28

OpenBenchmarking.orgMegahertz, More Is BetterOpenRadioss 2023.09.15CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000Min: 400 / Avg: 5102.19 / Max: 5143Min: 400 / Avg: 4962.57 / Max: 5186Min: 4875 / Avg: 4971.99 / Max: 5340Min: 5027 / Avg: 5110.05 / Max: 5489Min: 4540 / Avg: 4751.02 / Max: 5429Min: 4722 / Avg: 4793.95 / Max: 5190Min: 4952 / Avg: 5013.45 / Max: 5489Min: 4704 / Avg: 4794.67 / Max: 5202Min: 4246 / Avg: 4387.56 / Max: 5400

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal InstallationEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248860120180240300SE +/- 0.45, N = 3SE +/- 0.54, N = 3SE +/- 0.24, N = 3SE +/- 8.68, N = 9SE +/- 7.92, N = 9SE +/- 3.80, N = 9SE +/- 1.00, N = 3SE +/- 3.75, N = 15SE +/- 5.45, N = 12254.88157.48127.32162.03126.03148.28110.05106.01177.74

HeFFTe - Highly Efficient FFT for Exascale

OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4System Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100Min: 52.9 / Avg: 55.65 / Max: 62.6Min: 52.2 / Avg: 54.38 / Max: 61.2Min: 51.9 / Avg: 54.38 / Max: 65Min: 71.1 / Avg: 74.77 / Max: 84.5Min: 97.7 / Avg: 99.33 / Max: 104.6Min: 72.4 / Avg: 74.99 / Max: 83.7Min: 95.8 / Avg: 99.24 / Max: 114.7Min: 86.2 / Avg: 87.89 / Max: 89.1Min: 52.8 / Avg: 61.36 / Max: 82.7

OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4CPU Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881326395265Min: 17.39 / Avg: 18.43 / Max: 19.81Min: 17.18 / Avg: 18.45 / Max: 20.02Min: 19.23 / Avg: 20.27 / Max: 21.16Min: 38.68 / Avg: 39.26 / Max: 40.29Min: 51.07 / Avg: 60.47 / Max: 62.64Min: 38.39 / Avg: 39.98 / Max: 41.26Min: 50.14 / Avg: 61.56 / Max: 64.57Min: 48.18 / Avg: 50.59 / Max: 52.49Min: 21.18 / Avg: 25.08 / Max: 26.48

OpenBenchmarking.orgMegahertz, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000Min: 400 / Avg: 3048.75 / Max: 4942Min: 400 / Avg: 3114.9 / Max: 4941Min: 400 / Avg: 2142.27 / Max: 5333Min: 5263 / Avg: 5323.75 / Max: 5448Min: 5237 / Avg: 5250.46 / Max: 5268Min: 5025 / Avg: 5211.54 / Max: 5240Min: 5293 / Avg: 5472.62 / Max: 5536Min: 5016 / Avg: 5188.92 / Max: 5322Min: 3930 / Avg: 4692 / Max: 5204

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.33930.67861.01791.35721.69650.9361.5081.2030.6040.5790.5680.6050.9941.056

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881122334455SE +/- 0.18, N = 15SE +/- 0.06, N = 14SE +/- 0.13, N = 14SE +/- 0.15, N = 15SE +/- 0.59, N = 15SE +/- 0.52, N = 15SE +/- 0.58, N = 15SE +/- 1.39, N = 15SE +/- 0.39, N = 1517.2527.8324.3823.7235.0222.7037.2450.2826.481. (CXX) g++ options: -O3

OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4System Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248820406080100Min: 54.5 / Avg: 56.15 / Max: 60.4Min: 52 / Avg: 54.02 / Max: 58.9Min: 52.2 / Avg: 54.78 / Max: 62.4Min: 71.5 / Avg: 73.41 / Max: 79.4Min: 99.1 / Avg: 99.42 / Max: 100.1Min: 73.2 / Avg: 73.51 / Max: 74Min: 95.4 / Avg: 99.75 / Max: 109.7Min: 83.2 / Avg: 85.68 / Max: 87.5Min: 53.5 / Avg: 59.35 / Max: 70.9

OpenBenchmarking.orgWatts, Fewer Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4CPU Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24881224364860Min: 15.66 / Avg: 17.88 / Max: 18.87Min: 14.83 / Avg: 17.84 / Max: 20.5Min: 16.26 / Avg: 18.88 / Max: 21.72Min: 32.99 / Avg: 38.11 / Max: 39.6Min: 60.81 / Avg: 61.43 / Max: 62.08Min: 32.77 / Avg: 38.09 / Max: 39.13Min: 60.66 / Avg: 61.58 / Max: 63.13Min: 47.01 / Avg: 49.09 / Max: 50.56Min: 22.31 / Avg: 24.02 / Max: 25.79

OpenBenchmarking.orgMegahertz, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000Min: 400 / Avg: 3289.36 / Max: 4942Min: 400 / Avg: 1929.92 / Max: 5134Min: 400 / Avg: 3317 / Max: 5164Min: 5246 / Avg: 5314.36 / Max: 5350Min: 4985 / Avg: 5213.08 / Max: 5267Min: 5088 / Avg: 5203.15 / Max: 5240Min: 5434 / Avg: 5488.82 / Max: 5537Min: 5041 / Avg: 5231.64 / Max: 5462Min: 4293 / Avg: 4852.31 / Max: 5224

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.96441.92882.89323.85764.8222.4664.2864.0412.0341.7542.9862.0772.8333.540

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128EPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150SE +/- 1.04, N = 15SE +/- 2.17, N = 15SE +/- 1.45, N = 15SE +/- 1.52, N = 15SE +/- 1.06, N = 15SE +/- 0.82, N = 15SE +/- 1.14, N = 15SE +/- 1.72, N = 15SE +/- 3.73, N = 1544.0976.4476.2877.52107.74113.74127.93139.0685.011. (CXX) g++ options: -O3

ASKAP

OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0System Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250Min: 53.9 / Avg: 72.34 / Max: 84.1Min: 53.4 / Avg: 86.1 / Max: 108.4Min: 54.3 / Avg: 94.27 / Max: 115.1Min: 72.9 / Avg: 131.71 / Max: 175.2Min: 98.7 / Avg: 133.75 / Max: 140.5Min: 72.9 / Avg: 123.03 / Max: 156.5Min: 99.6 / Avg: 174.53 / Max: 252.9Min: 84.1 / Avg: 138.63 / Max: 191Min: 54.6 / Avg: 142.3 / Max: 224.5

OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150Min: 16.33 / Avg: 35.93 / Max: 43.94Min: 20.37 / Avg: 44.71 / Max: 54.1Min: 16.89 / Avg: 53.42 / Max: 64.66Min: 52.24 / Avg: 77.99 / Max: 92.16Min: 60.35 / Avg: 86.14 / Max: 90.4Min: 37.3 / Avg: 75.25 / Max: 93.98Min: 60.25 / Avg: 116.42 / Max: 162.58Min: 49.43 / Avg: 84.77 / Max: 112.51Min: 38.32 / Avg: 95.55 / Max: 124.72

OpenBenchmarking.orgMegahertz, More Is BetterASKAP 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000Min: 4937 / Avg: 4941.91 / Max: 4963Min: 400 / Avg: 4571.25 / Max: 5136Min: 400 / Avg: 4768.77 / Max: 5141Min: 5052 / Avg: 5291.68 / Max: 5464Min: 4659 / Avg: 5160.76 / Max: 5268Min: 4772 / Avg: 5034.85 / Max: 5190Min: 4983 / Avg: 5274.91 / Max: 5500Min: 4782 / Avg: 5076.91 / Max: 5262Min: 4480 / Avg: 5025.92 / Max: 5400

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248830609012015089.81133.37109.9754.5785.78100.0664.23115.1564.88

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882K4K6K8K10KSE +/- 26.67, N = 3SE +/- 0.00, N = 3SE +/- 44.18, N = 3SE +/- 180.65, N = 12SE +/- 528.48, N = 12SE +/- 175.34, N = 15SE +/- 298.02, N = 15SE +/- 384.12, N = 15SE +/- 48.43, N = 33226.625963.545875.194256.287389.247529.937477.199760.756199.091. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24882K4K6K8K10KSE +/- 0.00, N = 3SE +/- 38.09, N = 3SE +/- 34.30, N = 3SE +/- 192.19, N = 12SE +/- 473.28, N = 12SE +/- 187.79, N = 15SE +/- 321.53, N = 15SE +/- 346.60, N = 15SE +/- 58.27, N = 32623.964723.735179.313635.696270.826140.896642.948364.075146.331. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

LAMMPS Molecular Dynamics Simulator

OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022System Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250Min: 54 / Avg: 115.62 / Max: 116.7Min: 53.7 / Avg: 135.94 / Max: 137Min: 54.3 / Avg: 135.62 / Max: 136.3Min: 74.2 / Avg: 176.91 / Max: 190.1Min: 94.6 / Avg: 136.23 / Max: 137.3Min: 74.7 / Avg: 147.98 / Max: 151Min: 102.7 / Avg: 240.84 / Max: 257.1Min: 84.6 / Avg: 184.42 / Max: 189.6Min: 54.5 / Avg: 142.79 / Max: 236.4

OpenBenchmarking.orgWatts, Fewer Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150Min: 15.9 / Avg: 74.19 / Max: 75.58Min: 16.77 / Avg: 89.63 / Max: 90.39Min: 27.71 / Avg: 89.73 / Max: 90.38Min: 36.84 / Avg: 120.36 / Max: 131.88Min: 56.97 / Avg: 89.85 / Max: 90.41Min: 37.33 / Avg: 96.74 / Max: 100.04Min: 61.31 / Avg: 169.46 / Max: 180.85Min: 46.78 / Avg: 122.74 / Max: 127.89Min: 22.3 / Avg: 94.86 / Max: 139

OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000Min: 4941 / Avg: 5112.82 / Max: 5145Min: 400 / Avg: 4973.27 / Max: 5113Min: 400 / Avg: 4913.12 / Max: 5036Min: 4897 / Avg: 5080.08 / Max: 5335Min: 4579 / Avg: 4728.74 / Max: 5260Min: 4731 / Avg: 4794.5 / Max: 5215Min: 4809 / Avg: 4965.28 / Max: 5499Min: 4714 / Avg: 4784.39 / Max: 5207Min: 2400 / Avg: 4332.92 / Max: 5400

OpenBenchmarking.orgns/day Per Watt, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.0270.0540.0810.1080.1350.0640.0760.1000.0680.1160.0990.0810.1200.080

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248848121620SE +/- 0.008, N = 3SE +/- 0.014, N = 3SE +/- 0.004, N = 3SE +/- 0.174, N = 9SE +/- 0.191, N = 9SE +/- 0.108, N = 9SE +/- 0.297, N = 9SE +/- 0.298, N = 6SE +/- 0.177, N = 94.7806.8388.9518.21510.3939.53913.69114.6807.5791. (CXX) g++ options: -O3 -lm -ldl

ACES DGEMM

OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0System Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248850100150200250Min: 54 / Avg: 85.7 / Max: 96.2Min: 53 / Avg: 98.91 / Max: 111.4Min: 53.9 / Avg: 124.65 / Max: 133.5Min: 72 / Avg: 147.16 / Max: 175.9Min: 87.9 / Avg: 126.29 / Max: 137.1Min: 74 / Avg: 118.09 / Max: 149Min: 94.4 / Avg: 192.48 / Max: 264.4Min: 83.9 / Avg: 158.95 / Max: 189Min: 53.1 / Avg: 140.86 / Max: 198.1

OpenBenchmarking.orgWatts, Fewer Is BetterACES DGEMM 1.0CPU Power Consumption MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-2488306090120150Min: 20.86 / Avg: 49.46 / Max: 58.28Min: 17.24 / Avg: 64.71 / Max: 73.16Min: 32.7 / Avg: 81.36 / Max: 90.56Min: 36.54 / Avg: 99.71 / Max: 121.4Min: 54.86 / Avg: 82.61 / Max: 90.52Min: 45.64 / Avg: 75.73 / Max: 96.66Min: 64.62 / Avg: 140.35 / Max: 184.02Min: 40.66 / Avg: 100.01 / Max: 127.23Min: 21.45 / Avg: 96.15 / Max: 139.58

OpenBenchmarking.orgMegahertz, More Is BetterACES DGEMM 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-248810002000300040005000Min: 4941 / Avg: 5117.02 / Max: 5141Min: 400 / Avg: 4835.39 / Max: 5139Min: 400 / Avg: 4974.8 / Max: 5340Min: 5195 / Avg: 5279.57 / Max: 5489Min: 4850 / Avg: 5060.65 / Max: 5440Min: 5014 / Avg: 5093.65 / Max: 5190Min: 5089 / Avg: 5251.73 / Max: 5529Min: 4970 / Avg: 5072.5 / Max: 5247Min: 4014 / Avg: 4857.43 / Max: 5452

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24880.02390.04780.07170.09560.11950.0440.0610.0650.0530.0870.0740.0680.1060.044

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 4124PEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXXeon E-24883691215SE +/- 0.006425, N = 3SE +/- 0.039171, N = 3SE +/- 0.037881, N = 3SE +/- 0.144416, N = 15SE +/- 0.115135, N = 15SE +/- 0.066520, N = 3SE +/- 0.258971, N = 12SE +/- 0.322380, N = 15SE +/- 0.054700, N = 32.1617953.9201685.3136495.3305007.1870625.6045029.57775310.5916514.2041101. (CC) gcc options: -O3 -march=native -fopenmp

385 Results Shown

PostgreSQL:
  100 - 500 - Read Only - Average Latency
  100 - 500 - Read Only
  100 - 800 - Read Only - Average Latency
  100 - 800 - Read Only
John The Ripper
LuxCoreRender
OpenVINO:
  Weld Porosity Detection FP16 - CPU
  Face Detection FP16 - CPU
  Handwritten English Recognition FP16 - CPU
OpenSSL
srsRAN Project
OpenVINO:
  Person Re-Identification Retail FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
LuxCoreRender
OpenVINO
OSPRay Studio:
  2 - 1080p - 16 - Path Tracer - CPU
  3 - 1080p - 16 - Path Tracer - CPU
John The Ripper
OSPRay Studio
John The Ripper
NAMD
OpenVINO:
  Person Re-Identification Retail FP16 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection Retail FP16 - CPU
OSPRay Studio:
  3 - 1080p - 1 - Path Tracer - CPU
  2 - 1080p - 1 - Path Tracer - CPU
OpenVINO
OSPRay Studio
Stockfish
Cpuminer-Opt
Stress-NG
Embree
OpenVINO
OSPRay Studio
miniBUDE:
  OpenMP - BM1:
    Billion Interactions/s
    GFInst/s
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU
  Face Detection Retail FP16 - CPU
OSPRay Studio
OpenVINO
miniBUDE:
  OpenMP - BM2:
    GFInst/s
    Billion Interactions/s
Blender
OSPRay Studio
OpenVINO
Blender
Chaos Group V-RAY
Java JMH
OpenSSL
OpenVINO
OpenSSL
Blender
ASTC Encoder
OpenVINO
ASTC Encoder
OpenSSL:
  AES-128-GCM
  RSA4096
Blender
ASTC Encoder
Aircrack-ng
OSPRay
OpenVINO
Cpuminer-Opt
OSPRay
Stress-NG
Blender
OpenSSL
ASTC Encoder
OSPRay
OpenSSL
Cpuminer-Opt
Blender
RocksDB
ASTC Encoder
SVT-HEVC
Cpuminer-Opt
OSPRay
DaCapo Benchmark
Stress-NG
OpenSSL
Cpuminer-Opt
OSPRay
SVT-HEVC
Cpuminer-Opt
Stress-NG
Helsing
m-queens
7-Zip Compression
Speedb
Cpuminer-Opt:
  Magi
  Myriad-Groestl
OpenVINO
QuantLib
RocksDB
Coremark
Cpuminer-Opt
Embree
Stress-NG
John The Ripper
Cpuminer-Opt:
  Ringcoin
  scrypt
Stress-NG
John The Ripper
Helsing
NAMD
Embree
OpenVINO
ASKAP
nginx
Primesieve
Timed Node.js Compilation
Primesieve
OpenVKL
GraphicsMagick:
  Sharpen
  Enhanced
Timed Linux Kernel Compilation
Memcached
Timed LLVM Compilation
Intel Open Image Denoise:
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
uvg266
Speedb
Appleseed
LuxCoreRender
OpenVINO
nginx
LuxCoreRender
GraphicsMagick
DaCapo Benchmark
TensorFlow
BRL-CAD
Intel Open Image Denoise
nginx
Appleseed
oneDNN
Memcached
TensorFlow
Parallel BZIP2 Compression
Timed Godot Game Engine Compilation
SVT-HEVC
uvg266
SVT-HEVC
Timed LLVM Compilation
Kvazaar
oneDNN:
  Recurrent Neural Network Inference - CPU
  Recurrent Neural Network Training - CPU
PostgreSQL:
  100 - 800 - Read Write
  100 - 800 - Read Write - Average Latency
uvg266:
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
OpenVINO
SPECFEM3D
OpenVINO
Timed Linux Kernel Compilation
7-Zip Compression
Timed FFmpeg Compilation
CockroachDB
SPECFEM3D
ASKAP
JPEG-XL libjxl
OpenFOAM
CockroachDB
oneDNN
JPEG-XL libjxl
CockroachDB
Kvazaar
PostgreSQL:
  100 - 500 - Read Write
  100 - 500 - Read Write - Average Latency
Zstd Compression
Timed Mesa Compilation
x265
Timed Gem5 Compilation
Zstd Compression
GROMACS
SVT-AV1
SVT-HEVC
SPECFEM3D:
  Layered Halfspace
  Mount St. Helens
SVT-VP9
ONNX Runtime
Kvazaar
LuxCoreRender
TensorFlow
uvg266
Kvazaar
oneDNN
SVT-VP9
libavif avifenc
Appleseed
ScyllaDB
SPECFEM3D
Liquid-DSP
uvg266
OpenVINO
NAS Parallel Benchmarks
GraphicsMagick
LAMMPS Molecular Dynamics Simulator
SVT-VP9
OpenVINO
Kvazaar
SVT-VP9
SVT-HEVC
uvg266
TensorFlow
uvg266
OpenVINO
libavif avifenc
TensorFlow
NAS Parallel Benchmarks
ONNX Runtime
OpenVINO:
  Road Segmentation ADAS FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
TensorFlow:
  CPU - 512 - GoogLeNet
  CPU - 256 - GoogLeNet
Y-Cruncher
SVT-AV1
oneDNN
Kvazaar
OpenVINO
Kvazaar
SVT-VP9
MariaDB
OpenRadioss
TensorFlow
SVT-AV1
RocksDB
Kvazaar
Zstd Compression
OpenVINO
Pennant
ONNX Runtime
GraphicsMagick
Y-Cruncher
VVenC
libavif avifenc
SVT-VP9
ONNX Runtime
OpenRadioss
Pennant
libavif avifenc
OpenVINO
VVenC
oneDNN
MariaDB
OpenVINO
SVT-AV1
ONNX Runtime
JPEG-XL libjxl
Apache IoTDB
TensorFlow
Apache IoTDB
NAS Parallel Benchmarks
Apache IoTDB
Liquid-DSP
Timed PHP Compilation
JPEG-XL libjxl
OpenVINO
ONNX Runtime
TensorFlow:
  CPU - 32 - ResNet-50
  CPU - 64 - ResNet-50
  CPU - 256 - ResNet-50
Apache IoTDB
SVT-AV1
Speedb
OSPRay
MariaDB
GPAW
Xcompact3d Incompact3d
OpenVINO
VVenC
ONNX Runtime
Timed Wasmer Compilation
x265
PyTorch
DaCapo Benchmark
SVT-AV1
CloverLeaf
MariaDB
OpenRadioss
OpenVINO:
  Person Detection FP32 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
  Person Detection FP16 - CPU
OpenFOAM
VVenC
DuckDB
DaCapo Benchmark
Apache IoTDB
srsRAN Project
Apache IoTDB
NAS Parallel Benchmarks
Apache IoTDB
OpenFOAM
Apache IoTDB
ClickHouse
OpenRadioss
Apache IoTDB:
  500 - 100 - 800 - 400
  800 - 100 - 500 - 400
  800 - 100 - 500 - 400
DaCapo Benchmark
ClickHouse
OpenFOAM
ClickHouse
Apache IoTDB
PyTorch
GraphicsMagick
Timed CPython Compilation
NAS Parallel Benchmarks
Zstd Compression
OpenVINO
Xcompact3d Incompact3d
TensorFlow
Apache IoTDB:
  500 - 100 - 500 - 100:
    Average Latency
    point/sec
  500 - 100 - 500 - 400:
    point/sec
    Average Latency
Zstd Compression
ONNX Runtime
PyBench
Google Draco
TensorFlow
OpenVINO
FFmpeg
ONNX Runtime
OpenVINO
FFmpeg:
  libx265 - Video On Demand
  libx265 - Platform
MariaDB mariadb-slap
ONNX Runtime
MariaDB mariadb-slap
Z3 Theorem Prover
srsRAN Project
FFmpeg
ONNX Runtime:
  Faster R-CNN R-50-FPN-int8 - CPU - Parallel
  GPT-2 - CPU - Parallel
Liquid-DSP
Renaissance
Timed CPython Compilation
Numpy Benchmark
srsRAN Project
GNU Octave Benchmark
Liquid-DSP
System Power Consumption Monitor:
  Phoronix Test Suite System Monitoring:
    Watts
    Watts
    Megahertz
ONNX Runtime:
  ResNet50 v1-12-int8 - CPU - Standard:
    Inference Time Cost (ms)
    Inferences Per Second
SVT-AV1:
  System Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Preset 13 - Bosphorus 4K
SVT-AV1
OpenRadioss:
  System Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
OpenRadioss
OpenRadioss:
  System Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
OpenRadioss
HeFFTe - Highly Efficient FFT for Exascale:
  System Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  r2c - FFTW - double - 128
HeFFTe - Highly Efficient FFT for Exascale
HeFFTe - Highly Efficient FFT for Exascale:
  System Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  r2c - FFTW - float - 128
HeFFTe - Highly Efficient FFT for Exascale
ASKAP:
  System Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  tConvolve MPI - Gridding
ASKAP:
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
LAMMPS Molecular Dynamics Simulator:
  System Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  20k Atoms
LAMMPS Molecular Dynamics Simulator
ACES DGEMM:
  System Power Consumption Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
  Sustained Floating-Point Rate
ACES DGEMM