AMD EPYC 4004 CPU Review Benchmarks

Benchmarks preparing for a future article on Phoronix.com on launch day 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 2405204-PTS-EPYC400480
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AV1 2 Tests
C++ Boost Tests 4 Tests
Chess Test Suite 2 Tests
Timed Code Compilation 10 Tests
C/C++ Compiler Tests 18 Tests
Compression Tests 3 Tests
CPU Massive 34 Tests
Creator Workloads 26 Tests
Cryptography 4 Tests
Database Test Suite 7 Tests
Encoding 9 Tests
Fortran Tests 6 Tests
Game Development 6 Tests
HPC - High Performance Computing 20 Tests
Imaging 3 Tests
Java 3 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 6 Tests
Molecular Dynamics 7 Tests
MPI Benchmarks 7 Tests
Multi-Core 50 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 7 Tests
OpenMPI Tests 12 Tests
Programmer / Developer System Benchmarks 13 Tests
Python 2 Tests
Raytracing 2 Tests
Renderers 6 Tests
Scientific Computing 10 Tests
Software Defined Radio 2 Tests
Server 13 Tests
Server CPU Tests 25 Tests
Single-Threaded 3 Tests
Texture Compression 2 Tests
Video Encoding 9 Tests
Common Workstation Benchmarks 3 Tests

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Xeon E-2488
April 01
  1 Day, 22 Hours, 13 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, 13 Hours, 59 Minutes

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AMD EPYC 4004 CPU Review BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsNetworkAudioOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionXeon E-2488EPYC 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 4244P 6-Core @ 5.17GHz (6 Cores / 12 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 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 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 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 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXResult OverviewPhoronix Test Suite100%176%252%328%404%NAMDminiBUDEJohn The RipperOpenSSLPrimesieveOSPRay StudioStockfishOpenVINOACES DGEMMPostgreSQLCpuminer-OptASTC Encoderm-queensAircrack-ngStress-NGJava JMHBlenderCoremarkQuantLibChaos Group V-RAYHelsingEmbreeLuxCoreRenderIntel Open Image DenoiseOpenVKLASKAPOSPRayMemcachedBRL-CADTimed Node.js CompilationTimed Linux Kernel CompilationParallel BZIP2 Compression7-Zip CompressionTimed LLVM CompilationTimed Godot Game Engine CompilationSVT-HEVCnginxAppleseedGROMACSTimed FFmpeg CompilationRocksDBuvg266oneDNNSPECFEM3DTimed Mesa CompilationSpeedbTimed Gem5 CompilationGraphicsMagickKvazaarHeFFTe - Highly Efficient FFT for ExascaleScyllaDBSVT-VP9LAMMPS Molecular Dynamics SimulatorNAS Parallel BenchmarksJPEG-XL libjxlCockroachDBCloverLeafY-Cruncherlibavif avifencPennantsrsRAN Projectx265DaCapo BenchmarkTensorFlowSVT-AV1Zstd CompressionTimed PHP CompilationOpenFOAMVVenCGPAWMariaDBOpenRadiossXcompact3d Incompact3dPyBenchONNX RuntimeTimed Wasmer CompilationDuckDBGoogle DracoClickHouseZ3 Theorem ProverLiquid-DSPApache IoTDBPyTorchRenaissanceTimed CPython CompilationNumpy BenchmarkGNU Octave BenchmarkMariaDB mariadb-slapFFmpeg

Xeon E-2488EPYC 4244PEPYC 4344PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4584PXPer Watt Result OverviewPhoronix Test Suite100%163%225%288%350%NAMDminiBUDEJohn The Ripper7-Zip CompressionHeFFTe - Highly Efficient FFT for ExascaleACES DGEMMASKAPOpenSSLJava JMHEmbreeIntel Open Image DenoiseAircrack-ngChaos Group V-RAYNumpy BenchmarkCoremarkOpenVKLCpuminer-OptStockfishClickHouseOSPRayStress-NGGROMACSMemcachednginxASTC EncodersrsRAN ProjectKvazaaruvg266LAMMPS Molecular Dynamics SimulatorSVT-HEVCx265SVT-VP9TensorFlowNAS Parallel BenchmarksPyTorchLuxCoreRenderLiquid-DSPSVT-AV1JPEG-XL libjxlBRL-CADQuantLibRocksDBScyllaDBMariaDB mariadb-slapSpeedbGraphicsMagickFFmpegCockroachDBVVenCMariaDBP.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 4004 CPU Review Benchmarkspytorch: CPU - 1 - ResNet-50pytorch: CPU - 64 - ResNet-50minibude: OpenMP - BM1minibude: OpenMP - BM2stress-ng: Fused Multiply-Addstress-ng: Vector Shufflestress-ng: Vector Floating Pointstress-ng: Wide Vector Mathstress-ng: AVX-512 VNNIstress-ng: Floating Pointopenssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305ffmpeg: libx265 - Liveffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUsvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 1080pembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownsvt-vp9: VMAF Optimized - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080px265: Bosphorus 1080px265: Bosphorus 4Kkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Super Fastkvazaar: Bosphorus 1080p - Ultra Fastkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Super Fastkvazaar: Bosphorus 4K - Ultra Fastuvg266: Bosphorus 1080p - Mediumuvg266: Bosphorus 1080p - Very Fastuvg266: Bosphorus 1080p - Super Fastuvg266: Bosphorus 1080p - Ultra Fastuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Ultra Fastvvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fastervvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterminibude: OpenMP - BM1minibude: OpenMP - BM2mt-dgemm: Sustained Floating-Point Rateheffte: r2c - FFTW - float - 128heffte: r2c - FFTW - double - 128oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlytensorflow: CPU - 1 - ResNet-50tensorflow: CPU - 1 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 64 - AlexNettensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - AlexNettensorflow: CPU - 512 - GoogLeNetonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Parallelopenvkl: vklBenchmarkCPU ISPCospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/pathtracer/real_timeospray: particle_volume/scivis/real_timegraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spacegraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Sharpengraphics-magick: Swirlcoremark: CoreMark Size 666 - Iterations Per Secondaircrack-ng: cpuminer-opt: scryptcpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Myriad-Groestlcpuminer-opt: Magicpuminer-opt: Blake-2 Scpuminer-opt: Ringcoincpuminer-opt: Skeincoincpuminer-opt: Garlicoincpuminer-opt: Deepcoincpuminer-opt: LBC, LBRY Creditsluxcorerender: Danish Mood - CPUluxcorerender: Rainbow Colors and Prism - CPUluxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUcompress-zstd: 8 - Compression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 12 - Compression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19, Long Mode - Compression Speedsrsran: PUSCH Processor Benchmark, Throughput Totalsrsran: PUSCH Processor Benchmark, Throughput Threadsrsran: PDSCH Processor Benchmark, Throughput Totalsrsran: PDSCH Processor Benchmark, Throughput Threadquantlib: Multi-Threadedaskap: tConvolve OpenMP - Griddingaskap: tConvolve OpenMP - Degriddingcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingjpegxl: JPEG - 90jpegxl: JPEG - 100jpegxl: PNG - 90jpegxl: PNG - 100askap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingastcenc: Fastastcenc: Very Thoroughastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivestockfish: Chess Benchmarkgromacs: MPI CPU - water_GMX50_barelammps: Rhodopsin Proteinnamd: ATPase with 327,506 Atomslammps: 20k Atomsnamd: STMV with 1,066,628 Atomsscylladb: Writesrocksdb: Rand Readrocksdb: Read While Writingrocksdb: Read Rand Write Randspeedb: Rand Readspeedb: Read While Writingspeedb: Read Rand Write Randcockroach: KV, 95% Reads - 128cockroach: KV, 50% Reads - 128cockroach: KV, 60% Reads - 128java-jmh: Throughputmemcached: 1:100memcached: 1:10apache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 400clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runmysqlslap: 64mysqlslap: 128mariadb: oltp_read_write - 64mariadb: oltp_write_only - 64mariadb: oltp_update_non_index - 64mariadb: oltp_update_index - 64john-the-ripper: bcryptjohn-the-ripper: Blowfishjohn-the-ripper: HMAC-SHA512john-the-ripper: WPA PSKjohn-the-ripper: MD5nginx: 200nginx: 500nginx: 1000liquid-dsp: 1 - 256 - 32liquid-dsp: 1 - 256 - 512liquid-dsp: 16 - 256 - 32liquid-dsp: 16 - 256 - 512numpy: openssl: RSA4096npb: BT.Cnpb: EP.Cnpb: LU.Cnpb: SP.Bnpb: SP.Cpgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Onlypgbench: 100 - 800 - Read Writepgbench: 100 - 800 - Read Onlyopenssl: RSA4096brl-cad: VGR Performance Metricv-ray: CPUapache-iotdb: 500 - 100 - 500 - 100apache-iotdb: 500 - 100 - 500 - 400apache-iotdb: 500 - 100 - 800 - 100apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 500 - 100apache-iotdb: 800 - 100 - 500 - 400apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 400pennant: leblancbigpennant: sedovbigonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ResNet50 v1-12-int8 - CPU - Standardonnx: ResNet50 v1-12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: Faster R-CNN R-50-FPN-int8 - CPU - Parallelonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Parallelpybench: Total For Average Test Timespgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 800 - Read Write - Average Latencypgbench: 100 - 800 - Read Only - Average Latencyospray-studio: 1 - 1080p - 1 - Path Tracer - CPUospray-studio: 1 - 1080p - 16 - Path Tracer - CPUospray-studio: 1 - 1080p - 32 - Path Tracer - CPUospray-studio: 2 - 1080p - 1 - Path Tracer - CPUospray-studio: 2 - 1080p - 16 - Path Tracer - CPUospray-studio: 2 - 1080p - 32 - Path Tracer - CPUospray-studio: 3 - 1080p - 1 - Path Tracer - CPUospray-studio: 3 - 1080p - 16 - Path Tracer - CPUospray-studio: 3 - 1080p - 32 - Path Tracer - CPUdraco: Church Facadeopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUonednn: Convolution Batch Shapes Auto - CPUonednn: Deconvolution Batch shapes_1d - CPUonednn: Deconvolution Batch shapes_3d - CPUonednn: IP Shapes 1D - CPUonednn: IP Shapes 3D - CPUonednn: Recurrent Neural Network Training - CPUonednn: Recurrent Neural Network Inference - CPUrenaissance: Savina Reactors.IOdacapobench: PMD Source Code Analyzerdacapobench: Apache Tomcatdacapobench: Apache Lucene Search Enginedacapobench: H2 Database Enginedacapobench: Zxing 1D/2D Barcode Image Processingbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-php: Time To Compilebuild-wasmer: Time To Compilebuild-mesa: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedduckdb: IMDBm-queens: Time To Solvespecfem3d: Layered Halfspacespecfem3d: Water-layered Halfspacespecfem3d: Homogeneous Halfspacespecfem3d: Mount St. Helensspecfem3d: Tomographic Modelcloverleaf: clover_bmgpaw: Carbon Nanotubeincompact3d: input.i3d 129 Cells Per Directionincompact3d: input.i3d 193 Cells Per Directionopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: Cell Phone Drop Testopenradioss: Bumper Beamopenradioss: INIVOL and Fluid Structure Interaction Drop Containeropenradioss: Chrysler Neon 1Mblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Junkshop - CPU-Onlyappleseed: Emilyappleseed: Disney Materialappleseed: Material Testercompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessoctave-benchmark: z3: 2.smt2helsing: 12 digithelsing: 14 digitprimesieve: 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CPU Peak Freq (Highest CPU Core Frequency) Monitor

OpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringXeon E-2488EPYC 4344PEPYC 4244PEPYC 4484PXEPYC 4464PEPYC 4584PXEPYC 4564PEPYC 4364P10002000300040005000Min: 801 / Avg: 4466.33 / Max: 5638Min: 400 / Avg: 4794.94 / Max: 5417Min: 400 / Avg: 4805.55 / Max: 5230Min: 400 / Avg: 4831.8 / Max: 5638Min: 3947 / Avg: 4915.82 / Max: 5476Min: 4296 / Avg: 4927.95 / Max: 5702Min: 4577 / Avg: 5148.01 / Max: 5604Min: 4543 / Avg: 5178.15 / Max: 5518

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4584PXEPYC 4364PEPYC 4564P4080120160200Min: 12.24 / Avg: 71.17 / Max: 91.98Min: 13.54 / Avg: 75.17 / Max: 92.35Min: 16.44 / Avg: 80.5 / Max: 123.57Min: 46.51 / Avg: 84.39 / Max: 91.68Min: 18.57 / Avg: 89.22 / Max: 198.5Min: 37.24 / Avg: 95.52 / Max: 147.11Min: 29.45 / Avg: 105.15 / Max: 145.99Min: 48.93 / Avg: 138.83 / Max: 208.13

System Power Consumption Monitor

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4584PXEPYC 4364PEPYC 4564P60120180240300Min: 51.6 / Avg: 115.02 / Max: 143.1Min: 51.9 / Avg: 120.42 / Max: 144Min: 53.5 / Avg: 128.7 / Max: 186.1Min: 84.9 / Avg: 130.63 / Max: 143.7Min: 51.7 / Avg: 138.43 / Max: 338.5Min: 76.2 / Avg: 149.2 / Max: 222.4Min: 67.4 / Avg: 159.31 / Max: 212.3Min: 90.7 / Avg: 202.74 / Max: 301

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 4584PXEPYC 4344PEPYC 4364PEPYC 4564PXeon E-2488EPYC 4484PXEPYC 4244PEPYC 4464P1530456075SE +/- 0.68, N = 6SE +/- 0.65, N = 3SE +/- 1.84, N = 15SE +/- 0.90, N = 15SE +/- 1.37, N = 12SE +/- 0.30, N = 3SE +/- 0.26, N = 3SE +/- 0.11, N = 368.8068.6767.4865.6961.4961.3458.4956.96MIN: 59.18 / MAX: 72.68MIN: 64.12 / MAX: 71.37MIN: 46.76 / MAX: 74.15MIN: 53.12 / MAX: 69.76MIN: 40.06 / MAX: 72.22MIN: 50.53 / MAX: 62.03MIN: 55.22 / MAX: 59.43MIN: 52.49 / MAX: 58

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50EPYC 4584PXEPYC 4364PEPYC 4344PEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4244PXeon E-24881020304050SE +/- 0.34, N = 3SE +/- 0.16, N = 3SE +/- 0.14, N = 3SE +/- 0.94, N = 15SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 1.58, N = 1546.2045.1143.8943.3841.3439.5334.8832.25MIN: 43.63 / MAX: 47.16MIN: 43.61 / MAX: 45.86MIN: 42.37 / MAX: 45.05MIN: 34.95 / MAX: 46.71MIN: 30.45 / MAX: 41.8MIN: 38.01 / MAX: 40.46MIN: 21.67 / MAX: 35.54MIN: 23.14 / MAX: 40.93

miniBUDE

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.09610.19220.28830.38440.48050.4270.4090.3660.3350.3200.2740.2200.136

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1EPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24881122334455SE +/- 0.03, N = 4SE +/- 0.17, N = 4SE +/- 0.10, N = 3SE +/- 0.26, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.06, N = 349.9548.8234.6030.6826.2925.8519.0912.451. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s Per Watt, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4364PXeon E-24880.0880.1760.2640.3520.440.3910.3830.3500.2950.2920.2550.2080.133

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24881122334455SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 349.9949.6034.7434.6526.3625.8919.1612.551. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PXeon E-2488EPYC 4344PEPYC 4244P12M24M36M48M60MSE +/- 500794.58, N = 3SE +/- 54521.03, N = 3SE +/- 58656.32, N = 3SE +/- 28005.99, N = 3SE +/- 252666.10, N = 3SE +/- 267691.10, N = 3SE +/- 319716.71, N = 3SE +/- 283045.68, N = 356410032.2555781750.8442202851.9739475809.7829927440.6929762395.5729040929.2422079544.971. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector ShuffleEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P4K8K12K16K20KSE +/- 12.57, N = 3SE +/- 37.39, N = 3SE +/- 4.46, N = 3SE +/- 1.99, N = 3SE +/- 104.90, N = 3SE +/- 2.63, N = 3SE +/- 1.05, N = 3SE +/- 3.05, N = 316452.4716010.7412180.8011892.699138.298556.728468.866403.871. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Floating PointEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4564PEPYC 4344PXeon E-2488EPYC 4244PEPYC 4364P163248648074.2372.3268.0153.4653.2452.1540.9939.27

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Vector Floating PointEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4564PEPYC 4344PXeon E-2488EPYC 4364PEPYC 4244P110220330440550518.10488.48477.33370.85368.28286.43266.58264.53

OpenBenchmarking.orgBogo Ops/s Per Watt, More Is BetterStress-NG 0.16.04Test: Wide Vector MathEPYC 4584PXXeon E-2488EPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364P140028004200560070006657.786531.316370.276347.355179.504807.003815.763567.53

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Vector Floating PointEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P13K26K39K52K65KSE +/- 261.75, N = 3SE +/- 280.00, N = 3SE +/- 284.33, N = 3SE +/- 59.97, N = 3SE +/- 415.80, N = 3SE +/- 129.67, N = 3SE +/- 378.33, N = 3SE +/- 108.35, N = 359037.1456703.0641241.4541113.8530936.5028866.8828846.0620773.701. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Wide Vector MathEPYC 4564PEPYC 4584PXXeon E-2488EPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244P200K400K600K800K1000KSE +/- 1811.04, N = 3SE +/- 875.08, N = 3SE +/- 373.64, N = 3SE +/- 164.21, N = 3SE +/- 1009.32, N = 3SE +/- 205.90, N = 3SE +/- 84.63, N = 3SE +/- 31.25, N = 3778238.33749237.41576480.15568714.45539442.24413926.82402835.32307368.191. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: AVX-512 VNNIEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P600K1200K1800K2400K3000KSE +/- 2539.18, N = 3SE +/- 5242.51, N = 3SE +/- 1104.16, N = 3SE +/- 97.63, N = 3SE +/- 1225.91, N = 3SE +/- 340.15, N = 3SE +/- 5501.16, N = 3SE +/- 655.92, N = 32571394.822511125.721909466.061758023.971371242.641315000.021125583.011008567.361. (CXX) g++ options: -lm -laio -lapparmor -latomic -lc -lcrypt -ldl -lEGL -ljpeg -lmpfr -lpthread -lrt -lsctp -lz

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.16.04Test: Floating PointEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P2K4K6K8K10KSE +/- 15.20, N = 3SE +/- 8.85, N = 3SE +/- 2.90, N = 3SE +/- 1.22, N = 3SE +/- 7.41, N = 3SE +/- 6.00, N = 3SE +/- 0.05, N = 3SE +/- 1.77, N = 38199.657928.205977.765850.594740.284251.394192.473175.541. (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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24887000M14000M21000M28000M35000MSE +/- 7892274.19, N = 3SE +/- 8957910.25, N = 3SE +/- 9363717.55, N = 3SE +/- 5636428.54, N = 3SE +/- 8102567.82, N = 3SE +/- 7769960.49, N = 3SE +/- 4935253.44, N = 3SE +/- 27097230.48, N = 333989652273329138068102469382234323876211613178763583371740271281013220736913123365572631. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P2000M4000M6000M8000M10000MSE +/- 2951460.39, N = 3SE +/- 5901271.36, N = 3SE +/- 7000138.46, N = 3SE +/- 1960683.64, N = 3SE +/- 749962.39, N = 3SE +/- 485369.37, N = 3SE +/- 2787035.99, N = 3SE +/- 432194.03, N = 311041579923106633568138052051307781478597057944053075644357583442939716042752754601. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248850000M100000M150000M200000M250000MSE +/- 197196146.33, N = 3SE +/- 834503022.99, N = 3SE +/- 100195492.71, N = 3SE +/- 82240254.30, N = 3SE +/- 48206635.82, N = 3SE +/- 18100529.72, N = 3SE +/- 30766844.46, N = 3SE +/- 45687236.99, N = 325122440251324676433992718773650537017601876559313313407467312904662694098225529560648127256801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248850000M100000M150000M200000M250000MSE +/- 27189836.88, N = 3SE +/- 124036322.98, N = 3SE +/- 51787792.79, N = 3SE +/- 10292339.65, N = 3SE +/- 101608115.02, N = 3SE +/- 28146850.41, N = 3SE +/- 23525395.17, N = 3SE +/- 5611535.27, N = 321533684767721172665608716061844120315131382442711394125887711042558725384060321200561932491901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248830000M60000M90000M120000M150000MSE +/- 13732325.68, N = 3SE +/- 45400804.32, N = 3SE +/- 26095977.93, N = 3SE +/- 14660801.77, N = 3SE +/- 32786296.71, N = 3SE +/- 10772886.17, N = 3SE +/- 41193652.45, N = 3SE +/- 7700475.42, N = 31298535264731278572903509671222750092725161167683661088106657277460749707174843346518558001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248820000M40000M60000M80000M100000MSE +/- 63328398.60, N = 3SE +/- 37115945.76, N = 3SE +/- 21541900.76, N = 3SE +/- 17029222.81, N = 3SE +/- 11858939.41, N = 3SE +/- 18319786.28, N = 3SE +/- 14961656.63, N = 3SE +/- 5622113.45, N = 392129622150906864501036855048842765832975290485427396634725423017335429817183238002630201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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 4564PEPYC 4364PXeon E-2488EPYC 4464PEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4244P4080120160200SE +/- 0.71, N = 3SE +/- 0.17, N = 3SE +/- 1.39, N = 3SE +/- 0.29, N = 3SE +/- 0.59, N = 3SE +/- 0.58, N = 3SE +/- 1.34, N = 3SE +/- 0.31, N = 3186.42179.99178.15177.93176.69176.63171.60162.381. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4364PEPYC 4344PEPYC 4484PXEPYC 4244PXeon E-2488816243240SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 334.2132.4032.1431.9531.7331.3229.1728.891. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4364PEPYC 4344PEPYC 4484PXEPYC 4244PXeon E-24881632486480SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.19, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.22, N = 369.8065.8265.4965.2664.7763.6860.2358.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4244PXeon E-24881632486480SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 369.8165.8765.3565.2464.9263.7060.2058.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 - Device: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24883691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 313.5213.1910.009.247.146.905.252.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P612182430SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 326.4625.5419.1218.0913.9713.3610.4110.171. (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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24887K14K21K28K35KSE +/- 16.51, N = 3SE +/- 29.98, N = 3SE +/- 16.68, N = 3SE +/- 16.45, N = 3SE +/- 8.32, N = 3SE +/- 12.32, N = 3SE +/- 1.45, N = 3SE +/- 31.71, N = 334815.3933111.8225279.9723774.8818615.1218120.3814005.467499.471. (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-INT8 - Device: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P11K22K33K44K55KSE +/- 47.80, N = 3SE +/- 32.19, N = 3SE +/- 42.38, N = 3SE +/- 68.04, N = 3SE +/- 19.90, N = 3SE +/- 5.77, N = 3SE +/- 38.88, N = 3SE +/- 103.84, N = 349485.3546506.7535169.3133784.7426230.8525613.2918507.3117920.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248820406080100SE +/- 0.52, N = 3SE +/- 0.98, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 395.9588.8485.1173.5155.1152.3544.1729.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248820406080100SE +/- 0.44, N = 3SE +/- 0.47, N = 3SE +/- 0.07, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 3SE +/- 0.17, N = 396.1088.3285.2974.2254.9852.2444.4029.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24886001200180024003000SE +/- 4.11, N = 3SE +/- 0.50, N = 3SE +/- 1.19, N = 3SE +/- 0.27, N = 3SE +/- 0.60, N = 3SE +/- 0.44, N = 3SE +/- 0.80, N = 3SE +/- 2.31, N = 32672.512563.791936.551835.781417.331356.641040.151022.101. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248830060090012001500SE +/- 1.37, N = 3SE +/- 0.25, N = 3SE +/- 0.16, N = 3SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.14, N = 3SE +/- 0.54, N = 31362.001326.241005.38934.24723.13693.78531.48265.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488400800120016002000SE +/- 1.19, N = 3SE +/- 0.49, N = 3SE +/- 1.23, N = 3SE +/- 0.37, N = 3SE +/- 0.43, N = 3SE +/- 2.16, N = 3SE +/- 1.34, N = 3SE +/- 1.52, N = 31653.691588.301191.721120.77879.50838.46644.50500.861. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24882004006008001000SE +/- 2.08, N = 3SE +/- 1.18, N = 3SE +/- 2.53, N = 3SE +/- 0.50, N = 3SE +/- 1.08, N = 3SE +/- 0.47, N = 3SE +/- 2.00, N = 3SE +/- 0.14, N = 31011.61772.21701.84681.13472.57436.41364.22249.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248830060090012001500SE +/- 2.21, N = 3SE +/- 2.52, N = 3SE +/- 5.46, N = 3SE +/- 0.91, N = 3SE +/- 0.80, N = 3SE +/- 5.03, N = 3SE +/- 2.84, N = 3SE +/- 0.87, N = 31560.991556.071124.061059.99833.73790.63603.92401.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488306090120150SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 3SE +/- 0.34, N = 3SE +/- 0.39, N = 3SE +/- 0.02, N = 3138.50136.73105.20102.3582.8074.7963.1533.741. (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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24887001400210028003500SE +/- 6.25, N = 3SE +/- 1.96, N = 3SE +/- 2.38, N = 3SE +/- 0.82, N = 3SE +/- 0.66, N = 3SE +/- 1.26, N = 3SE +/- 3.43, N = 3SE +/- 1.96, N = 33269.123099.902254.382184.941781.621659.061330.81816.171. (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-INT8 - Device: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248810002000300040005000SE +/- 1.99, N = 3SE +/- 3.97, N = 3SE +/- 2.70, N = 3SE +/- 1.50, N = 3SE +/- 1.63, N = 3SE +/- 2.13, N = 3SE +/- 0.53, N = 3SE +/- 3.53, N = 34734.274486.583338.383221.202495.552329.231804.901559.061. (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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488160320480640800SE +/- 0.36, N = 3SE +/- 3.18, N = 3SE +/- 1.93, N = 3SE +/- 0.66, N = 3SE +/- 1.00, N = 3SE +/- 3.35, N = 3SE +/- 3.75, N = 3SE +/- 0.33, N = 3731.48729.84559.88510.62392.23368.26272.46150.641. (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-INT8 - Device: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24882004006008001000SE +/- 1.22, N = 3SE +/- 0.33, N = 3SE +/- 1.97, N = 3SE +/- 0.61, N = 3SE +/- 0.59, N = 3SE +/- 0.81, N = 3SE +/- 1.40, N = 3SE +/- 0.45, N = 3795.05776.84589.77541.92417.64395.19301.93174.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248890180270360450SE +/- 1.74, N = 3SE +/- 1.33, N = 3SE +/- 0.46, N = 3SE +/- 0.76, N = 3SE +/- 1.10, N = 3SE +/- 0.84, N = 3SE +/- 0.31, N = 3SE +/- 0.22, N = 3435.77337.45317.25304.22224.43171.63146.62101.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P110220330440550SE +/- 0.32, N = 3SE +/- 1.94, N = 3SE +/- 0.69, N = 3SE +/- 0.40, N = 3SE +/- 0.50, N = 3SE +/- 1.13, N = 3SE +/- 0.28, N = 3SE +/- 0.12, N = 3516.90476.63366.70351.23275.72237.30219.86187.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488400800120016002000SE +/- 0.22, N = 3SE +/- 0.50, N = 3SE +/- 1.33, N = 3SE +/- 0.33, N = 3SE +/- 0.99, N = 3SE +/- 1.30, N = 3SE +/- 0.80, N = 3SE +/- 2.58, N = 31938.321863.361372.191286.311029.88978.60773.96437.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488400800120016002000SE +/- 2.01, N = 3SE +/- 1.23, N = 3SE +/- 1.93, N = 3SE +/- 0.77, N = 3SE +/- 0.86, N = 3SE +/- 1.25, N = 3SE +/- 1.27, N = 3SE +/- 1.17, N = 31882.341587.741465.711274.27991.32890.99697.69523.021. (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 4KEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24881632486480SE +/- 0.15, N = 5SE +/- 0.11, N = 5SE +/- 0.05, N = 4SE +/- 0.07, N = 4SE +/- 0.10, N = 4SE +/- 0.07, N = 4SE +/- 0.11, N = 3SE +/- 0.30, N = 372.7469.9657.2356.9647.2945.9536.7036.141. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Embree

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P0.06840.13680.20520.27360.3420.3040.2590.2580.1990.1890.1600.1550.145

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P0.06230.12460.18690.24920.31150.2770.2550.2300.1920.1810.1460.1450.127

SVT-AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 4KEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4464PEPYC 4244PEPYC 4564PEPYC 4364PXeon E-24880.51661.03321.54982.06642.5832.2962.2742.2641.9581.7111.5421.4471.250

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 1080pEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.29, N = 9SE +/- 0.32, N = 8SE +/- 0.26, N = 8SE +/- 0.18, N = 8SE +/- 0.13, N = 8SE +/- 0.16, N = 8SE +/- 1.11, N = 15SE +/- 0.16, N = 7189.41175.21162.42156.68148.34142.84120.53119.761. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4KEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488246810SE +/- 0.009, N = 3SE +/- 0.030, N = 3SE +/- 0.019, N = 3SE +/- 0.004, N = 3SE +/- 0.016, N = 3SE +/- 0.008, N = 3SE +/- 0.005, N = 3SE +/- 0.024, N = 37.8387.2966.5266.4135.7425.5634.5404.3481. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 1080pEPYC 4344PEPYC 4244PEPYC 4484PXEPYC 4584PXXeon E-2488EPYC 4364PEPYC 4464PEPYC 4564P4812162016.11113.65012.29410.79110.57710.2399.2248.665

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 323.1022.1115.8915.7112.2811.909.169.121. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4KEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1.3052.613.9155.226.525SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.805.633.993.963.042.942.262.251. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080pEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P70140210280350SE +/- 0.26, N = 10SE +/- 0.40, N = 10SE +/- 0.24, N = 9SE +/- 0.22, N = 9SE +/- 0.21, N = 8SE +/- 0.17, N = 8SE +/- 2.05, N = 15SE +/- 0.13, N = 7311.95297.03216.67215.68178.20173.19168.39135.991. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4KEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20406080100SE +/- 0.06, N = 6SE +/- 0.15, N = 6SE +/- 0.07, N = 5SE +/- 0.05, N = 5SE +/- 0.04, N = 5SE +/- 0.04, N = 4SE +/- 0.08, N = 4SE +/- 0.02, N = 499.6197.7772.0771.6457.2355.6647.9843.571. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080pEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P120240360480600SE +/- 1.04, N = 12SE +/- 0.81, N = 12SE +/- 0.29, N = 11SE +/- 0.39, N = 11SE +/- 4.53, N = 15SE +/- 0.24, N = 11SE +/- 0.44, N = 11SE +/- 0.23, N = 10560.81554.16428.68422.86383.64361.05351.91279.571. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4KEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.31, N = 8SE +/- 0.14, N = 8SE +/- 0.17, N = 7SE +/- 0.15, N = 7SE +/- 0.12, N = 6SE +/- 0.10, N = 6SE +/- 1.10, N = 15SE +/- 0.10, N = 6162.47158.94131.05130.38109.03107.47101.8386.791. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -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: Visual Quality Optimized - Input: Bosphorus 1080pEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P80160240320400SE +/- 1.71, N = 15SE +/- 2.24, N = 11SE +/- 1.08, N = 10SE +/- 1.06, N = 10SE +/- 3.49, N = 15SE +/- 0.76, N = 9SE +/- 0.69, N = 9SE +/- 0.64, N = 9364.90357.60284.34281.56221.33203.16198.42173.331. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Embree

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P0.07090.14180.21270.28360.35450.3150.2920.2810.2250.2090.1760.1750.162

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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20406080100SE +/- 1.39, N = 15SE +/- 1.42, N = 15SE +/- 0.79, N = 15SE +/- 0.75, N = 15SE +/- 0.56, N = 5SE +/- 0.64, N = 5SE +/- 0.47, N = 15SE +/- 0.51, N = 5100.05100.0080.9380.8761.9060.9759.5650.511. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4KEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4464PEPYC 4244PEPYC 4564PEPYC 4364PXeon E-24880.53621.07241.60862.14482.6812.3832.3382.2352.0431.7901.6121.5181.286

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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P90180270360450SE +/- 0.58, N = 11SE +/- 0.42, N = 11SE +/- 0.37, N = 11SE +/- 0.48, N = 10SE +/- 0.53, N = 10SE +/- 0.28, N = 10SE +/- 0.35, N = 10SE +/- 0.22, N = 9419.93419.26337.46336.78295.69251.44246.28213.441. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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 12 - Input: Bosphorus 4KEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.33, N = 8SE +/- 0.17, N = 8SE +/- 0.26, N = 7SE +/- 0.18, N = 7SE +/- 0.14, N = 7SE +/- 0.12, N = 7SE +/- 1.00, N = 15SE +/- 0.10, N = 6170.21166.37145.04143.28125.28121.50105.2898.451. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 1080pEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4244PEPYC 4564PEPYC 4364PXeon E-24880.07810.15620.23430.31240.39050.3470.3330.3160.2840.2770.2280.2190.187

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P306090120150SE +/- 0.16, N = 6SE +/- 0.13, N = 6SE +/- 0.15, N = 6SE +/- 0.11, N = 6SE +/- 0.64, N = 10SE +/- 0.08, N = 5SE +/- 0.09, N = 5SE +/- 0.05, N = 5114.88111.0197.4197.2783.1976.0674.7163.761. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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 13 - Input: Bosphorus 4KEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 4.27, N = 15SE +/- 4.16, N = 15SE +/- 2.97, N = 15SE +/- 2.98, N = 15SE +/- 2.01, N = 15SE +/- 1.88, N = 15SE +/- 0.99, N = 15SE +/- 0.98, N = 15165.29162.00141.77140.09122.91119.57104.6197.601. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 1080pEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P140280420560700SE +/- 1.66, N = 15SE +/- 1.39, N = 12SE +/- 1.70, N = 12SE +/- 0.82, N = 12SE +/- 0.76, N = 12SE +/- 0.74, N = 12SE +/- 0.93, N = 12SE +/- 0.74, N = 12660.34631.94581.67568.41548.04546.71528.23449.571. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P90180270360450SE +/- 1.10, N = 11SE +/- 0.58, N = 11SE +/- 0.25, N = 10SE +/- 0.34, N = 10SE +/- 0.18, N = 10SE +/- 0.20, N = 10SE +/- 0.18, N = 10SE +/- 0.18, N = 9410.42408.42331.83330.16289.26242.58237.22208.121. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PXeon E-2488EPYC 4364P0.32090.64180.96271.28361.60451.4261.3961.2301.1701.0170.9430.8520.821

x265

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 1080pEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4244PEPYC 4464PEPYC 4564PEPYC 4364PXeon E-24880.35280.70561.05841.41121.7641.5681.5671.4461.3651.3591.1341.0520.987

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P816243240SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 334.2432.2225.5325.0118.4518.3916.5814.36MIN: 33.88 / MAX: 35.24MIN: 31.88 / MAX: 33.23MIN: 25.23 / MAX: 26.17MIN: 24.79 / MAX: 25.66MIN: 18.3 / MAX: 18.87MIN: 18.28 / MAX: 18.74MIN: 16.29 / MAX: 19.34MIN: 14.27 / MAX: 14.68

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.00, N = 329.1727.3921.7821.2415.6915.6414.5512.20MIN: 28.89 / MAX: 30.01MIN: 27.11 / MAX: 28.25MIN: 21.53 / MAX: 22.24MIN: 21.05 / MAX: 21.73MIN: 15.56 / MAX: 16.03MIN: 15.52 / MAX: 15.91MIN: 14.14 / MAX: 16.68MIN: 12.12 / MAX: 12.41

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P714212835SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 332.1831.3722.5721.9916.4616.0913.3912.33MIN: 31.73 / MAX: 33MIN: 30.96 / MAX: 32.3MIN: 22.22 / MAX: 23.17MIN: 21.74 / MAX: 22.75MIN: 16.24 / MAX: 16.97MIN: 15.93 / MAX: 16.53MIN: 13.27 / MAX: 16.49MIN: 12.21 / MAX: 12.61

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P20406080100SE +/- 0.18, N = 6SE +/- 0.15, N = 6SE +/- 0.12, N = 6SE +/- 0.08, N = 6SE +/- 0.46, N = 15SE +/- 0.09, N = 5SE +/- 0.03, N = 5SE +/- 0.11, N = 5107.53103.5293.5692.0779.8571.4870.3460.901. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

x265

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PXeon E-2488EPYC 4364P0.0860.1720.2580.3440.430.3820.3410.3270.2600.2600.2540.2090.180

Kvazaar

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: MediumEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4464PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.22820.45640.68460.91281.1411.0140.9440.9130.8460.7170.6750.6670.559

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4244PEPYC 4464PEPYC 4564PEPYC 4364PXeon E-24880.53171.06341.59512.12682.65852.3632.1652.0071.8101.7791.7431.5461.385

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastEPYC 4344PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.72161.44322.16482.88643.6083.2073.1632.8372.4442.3522.2792.1401.712

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 4344PEPYC 4584PXEPYC 4484PXEPYC 4244PEPYC 4464PEPYC 4564PEPYC 4364PXeon E-24881.1142.2283.3424.4565.574.9514.0843.9573.5073.3273.1873.0722.464

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.0410.0820.1230.1640.2050.1820.1700.1600.1480.1300.1150.1040.099

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.11540.23080.34620.46160.5770.5130.4300.4290.4250.3180.3110.2820.261

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.13820.27640.41460.55280.6910.6140.5510.5480.5080.4430.3970.3530.328

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488612182430SE +/- 0.13, N = 6SE +/- 0.08, N = 6SE +/- 0.04, N = 6SE +/- 0.07, N = 6SE +/- 0.07, N = 5SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.15, N = 524.1722.1721.5120.7519.8919.5516.5415.921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 0.21, N = 7SE +/- 0.21, N = 7SE +/- 0.15, N = 7SE +/- 0.18, N = 7SE +/- 0.53, N = 6SE +/- 0.54, N = 6SE +/- 0.77, N = 15SE +/- 0.38, N = 6118.06109.57103.2599.2289.1286.7884.3380.581. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4244PEPYC 4344P816243240SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 15SE +/- 0.19, N = 3SE +/- 0.22, N = 334.6534.0227.4327.2019.4817.6117.6016.771. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 4564PEPYC 4584PXEPYC 4464PEPYC 4364PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4244P20406080100SE +/- 0.08, N = 6SE +/- 0.13, N = 6SE +/- 0.05, N = 5SE +/- 0.04, N = 5SE +/- 0.10, N = 5SE +/- 0.05, N = 5SE +/- 0.37, N = 4SE +/- 0.05, N = 488.3080.5266.4764.6863.8562.7150.4747.171. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4364PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.25, N = 9SE +/- 0.11, N = 9SE +/- 0.06, N = 8SE +/- 0.10, N = 8SE +/- 0.16, N = 8SE +/- 0.09, N = 7SE +/- 0.87, N = 7SE +/- 0.06, N = 7186.56169.81131.13129.02125.34123.89103.04101.801. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4364PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4244P50100150200250SE +/- 0.26, N = 10SE +/- 0.14, N = 10SE +/- 0.12, N = 9SE +/- 0.09, N = 9SE +/- 0.10, N = 9SE +/- 0.04, N = 9SE +/- 2.29, N = 15SE +/- 0.06, N = 8248.39224.02172.91168.08166.31161.51139.72126.081. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4364PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4244P70140210280350SE +/- 0.21, N = 11SE +/- 0.34, N = 10SE +/- 0.14, N = 10SE +/- 0.14, N = 10SE +/- 0.16, N = 10SE +/- 0.14, N = 10SE +/- 4.30, N = 15SE +/- 0.11, N = 9301.57271.84231.05226.13220.31217.52197.51167.391. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: MediumEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 322.0220.6514.6614.4012.4912.109.599.281. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24881122334455SE +/- 0.09, N = 4SE +/- 0.02, N = 4SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.19, N = 348.1144.5935.2334.7131.0430.1424.2223.051. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24881428425670SE +/- 0.07, N = 5SE +/- 0.03, N = 5SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 4SE +/- 0.05, N = 4SE +/- 0.04, N = 3SE +/- 0.31, N = 462.5658.2544.4643.5438.8237.7030.1028.641. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4464PEPYC 4244PEPYC 4564PEPYC 4364PXeon E-24880.19330.38660.57990.77320.96650.8590.7510.7400.7260.5910.5870.4960.440

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248820406080100SE +/- 0.07, N = 6SE +/- 0.04, N = 6SE +/- 0.03, N = 5SE +/- 0.06, N = 5SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 4SE +/- 0.30, N = 1081.2374.9657.6856.2852.3050.7141.1139.591. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1428425670SE +/- 0.07, N = 5SE +/- 0.10, N = 5SE +/- 0.06, N = 4SE +/- 0.06, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.14, N = 4SE +/- 0.04, N = 364.1659.4849.2447.9845.6344.4336.5932.63

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.11, N = 9SE +/- 0.18, N = 8SE +/- 0.05, N = 7SE +/- 0.08, N = 7SE +/- 0.14, N = 7SE +/- 0.04, N = 7SE +/- 0.95, N = 15SE +/- 0.04, N = 6166.81154.02117.12114.08111.78108.2189.3184.36

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.16, N = 9SE +/- 0.07, N = 9SE +/- 0.05, N = 8SE +/- 0.09, N = 8SE +/- 0.08, N = 7SE +/- 0.05, N = 7SE +/- 0.97, N = 15SE +/- 0.03, N = 6181.83168.13127.69124.52119.83116.2196.3388.44

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.20, N = 9SE +/- 0.12, N = 9SE +/- 0.12, N = 8SE +/- 0.14, N = 8SE +/- 0.06, N = 8SE +/- 0.16, N = 8SE +/- 1.21, N = 15SE +/- 0.06, N = 7203.39187.73150.51146.08142.97138.95115.40105.23

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.9215.0710.4110.258.618.356.626.53

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.08510.17020.25530.34040.42550.3780.3630.3400.3160.2740.2460.2240.207

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.09520.19040.28560.38080.4760.4230.3810.3600.3360.3060.2580.2350.224

OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.11390.22780.34170.45560.56950.5060.4570.4390.4340.3700.3260.2860.269

VVenC

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FasterEPYC 4344PEPYC 4484PXEPYC 4464PEPYC 4584PXEPYC 4244PEPYC 4364PXeon E-2488EPYC 4564P0.14960.29920.44880.59840.7480.6650.5960.5870.5580.5530.4570.4470.397

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4244PEPYC 4564PXeon E-2488EPYC 4364P0.01730.03460.05190.06920.08650.0770.0750.0740.0710.0570.0530.0530.049

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4244PXeon E-2488EPYC 4564PEPYC 4364P0.03890.07780.11670.15560.19450.1730.1730.1680.1670.1350.1250.1160.113

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24881020304050SE +/- 0.08, N = 4SE +/- 0.02, N = 4SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 342.6040.1529.8229.5325.2524.6219.2918.97

VVenC

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FastEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4584PXEPYC 4244PEPYC 4364PXeon E-2488EPYC 4564P0.05540.11080.16620.22160.2770.2460.2420.2420.2410.1980.1690.1690.166

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24881122334455SE +/- 0.07, N = 4SE +/- 0.05, N = 4SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 346.4143.8931.6731.2926.6526.0420.3820.17

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1224364860SE +/- 0.08, N = 5SE +/- 0.17, N = 4SE +/- 0.01, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 354.5451.6337.2236.7131.8631.3024.6924.59

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488612182430SE +/- 0.07, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 323.1921.7220.2119.9418.7718.3015.5415.461. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: FasterEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1122334455SE +/- 0.11, N = 4SE +/- 0.12, N = 4SE +/- 0.10, N = 4SE +/- 0.07, N = 4SE +/- 0.04, N = 4SE +/- 0.12, N = 4SE +/- 0.25, N = 4SE +/- 0.06, N = 450.9148.8646.1645.9845.1443.8340.0737.631. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P246810SE +/- 0.058, N = 3SE +/- 0.045, N = 3SE +/- 0.029, N = 3SE +/- 0.034, N = 3SE +/- 0.021, N = 3SE +/- 0.031, N = 3SE +/- 0.018, N = 3SE +/- 0.017, N = 37.8187.4946.4906.4525.6935.5544.9754.5421. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P48121620SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 317.4416.8214.6014.5413.1412.8011.7710.491. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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: BM1EPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248830060090012001500SE +/- 0.84, N = 4SE +/- 4.13, N = 4SE +/- 2.41, N = 3SE +/- 6.54, N = 3SE +/- 2.56, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 1.56, N = 31248.811220.53864.96766.92657.35646.26477.36311.311. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248830060090012001500SE +/- 1.54, N = 3SE +/- 2.18, N = 3SE +/- 0.75, N = 3SE +/- 0.58, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 31249.621240.06868.47866.23658.93647.13478.87313.741. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

HeFFTe - Highly Efficient FFT for Exascale

OpenBenchmarking.orgGFLOP/s Per Watt, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128EPYC 4244PEPYC 4344PXeon E-2488EPYC 4584PXEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4484PX0.33930.67861.01791.35721.69651.5081.2031.0560.9940.6050.6040.5790.568

ACES DGEMM

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

OpenBenchmarking.orgGFLOP/s, More Is BetterACES DGEMM 1.0Sustained Floating-Point RateEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P3691215SE +/- 0.322380, N = 15SE +/- 0.258971, N = 12SE +/- 0.115135, N = 15SE +/- 0.066520, N = 3SE +/- 0.144416, N = 15SE +/- 0.037881, N = 3SE +/- 0.054700, N = 3SE +/- 0.039171, N = 310.5916519.5777537.1870625.6045025.3305005.3136494.2041103.9201681. (CC) gcc options: -O3 -march=native -fopenmp

HeFFTe - Highly Efficient FFT for Exascale

HeFFTe is the Highly Efficient FFT for Exascale software developed as part of the Exascale Computing Project. This test profile uses HeFFTe's built-in speed benchmarks under a variety of configuration options and currently catering to CPU/processor testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: float - X Y Z: 128EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4244PEPYC 4344P306090120150SE +/- 1.72, N = 15SE +/- 1.14, N = 15SE +/- 0.82, N = 15SE +/- 1.06, N = 15SE +/- 3.73, N = 15SE +/- 1.52, N = 15SE +/- 2.17, N = 15SE +/- 1.45, N = 15139.06127.93113.74107.7485.0177.5276.4476.281. (CXX) g++ options: -O3

OpenBenchmarking.orgGFLOP/s, More Is BetterHeFFTe - Highly Efficient FFT for Exascale 2.4Test: r2c - Backend: FFTW - Precision: double - X Y Z: 128EPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4244PXeon E-2488EPYC 4344PEPYC 4364PEPYC 4484PX1122334455SE +/- 1.39, N = 15SE +/- 0.58, N = 15SE +/- 0.59, N = 15SE +/- 0.06, N = 14SE +/- 0.39, N = 15SE +/- 0.13, N = 14SE +/- 0.15, N = 15SE +/- 0.52, N = 1550.2837.2435.0227.8326.4824.3823.7222.701. (CXX) g++ options: -O3

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4564PEPYC 4364PEPYC 4244PXeon E-24880.00090.00180.00270.00360.00450.0040.0040.0030.0030.0020.0020.0020.002

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P0.19350.3870.58050.7740.9675SE +/- 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 = 30.860.840.640.640.480.470.420.36

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P0.19350.3870.58050.7740.9675SE +/- 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 = 30.860.840.640.640.480.470.420.36

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P0.09230.18460.27690.36920.4615SE +/- 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 = 30.410.400.300.300.230.220.210.17

TensorFlow

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4564PXeon E-24880.07940.15880.23820.31760.3970.3530.3240.2580.2390.2280.1960.1640.145

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: GoogLeNetEPYC 4344PEPYC 4244PEPYC 4484PXEPYC 4364PEPYC 4584PXEPYC 4464PXeon E-2488EPYC 4564P0.35780.71561.07341.43121.7891.5901.4751.1571.0520.9670.8080.7580.704

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: ResNet-50EPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PEPYC 4364PXeon E-24880.10150.2030.30450.4060.50750.4510.4470.3940.3800.3570.2730.2690.240

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50EPYC 4364PEPYC 4344PEPYC 4244PEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PXeon E-248848121620SE +/- 0.01, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 5SE +/- 0.03, N = 5SE +/- 0.01, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 517.4717.4515.6115.1214.9314.7614.7613.71

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: GoogLeNetEPYC 4364PEPYC 4344PEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4244PXeon E-24881428425670SE +/- 0.10, N = 9SE +/- 0.09, N = 8SE +/- 0.18, N = 8SE +/- 0.18, N = 8SE +/- 0.18, N = 8SE +/- 0.08, N = 8SE +/- 0.15, N = 8SE +/- 0.05, N = 862.9961.8860.1457.3455.8954.4952.3651.33

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: ResNet-50EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-2488918273645SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 340.3739.9934.7834.7231.0030.7925.7023.19

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: AlexNetEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P50100150200250SE +/- 0.14, N = 4SE +/- 0.35, N = 4SE +/- 0.20, N = 3SE +/- 0.25, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 1.37, N = 3SE +/- 0.15, N = 3242.49239.93204.70199.14172.89171.59160.52139.36

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-2488918273645SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 340.4940.2434.7634.6830.6430.5325.5023.10

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: AlexNetEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P70140210280350SE +/- 0.34, N = 3SE +/- 0.33, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 3322.53315.45256.65248.73206.40204.83173.78160.28

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: GoogLeNetEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3135.78133.21113.51110.5292.3791.2178.1773.77

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: GoogLeNetEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PXeon E-2488EPYC 4364P0.35120.70241.05361.40481.7561.5611.5441.3241.1861.1080.9240.8840.826

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PEPYC 4364PXeon E-24880.09540.19080.28620.38160.4770.4240.4230.3880.3820.3440.2840.2730.243

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P0.91711.83422.75133.66844.58554.0763.7473.4592.7952.5232.3962.0191.963

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: GoogLeNetEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 3139.11135.30115.48111.9993.7192.8578.7974.93

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PXeon E-2488EPYC 4364P0.30580.61160.91741.22321.5291.3591.3411.2281.0910.9810.8710.8160.768

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PEPYC 4364PXeon E-24880.09630.19260.28890.38520.48150.4280.4160.3910.3850.3410.2870.2730.242

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P0.90741.81482.72223.62964.5374.0333.8583.5582.7752.5012.3642.0391.928

OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: GoogLeNetEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PXeon E-2488EPYC 4364P0.3020.6040.9061.2081.511.3421.3331.2321.0990.9720.8680.8030.763

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488918273645SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 340.6840.3334.9534.7930.6330.5025.4323.07

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P90180270360450SE +/- 0.09, N = 3SE +/- 0.23, N = 3SE +/- 0.07, N = 3SE +/- 0.35, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 3409.96396.85305.22294.91237.57235.47189.14174.06

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3132.13131.34109.62109.3691.7790.1976.8473.36

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488918273645SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.31, N = 8SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 341.0240.4836.2335.0130.7030.4925.3622.98

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P90180270360450SE +/- 1.74, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.55, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 3425.47409.89327.41315.30240.23238.89192.28176.61

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: GoogLeNetEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3132.62130.80114.12109.7391.9090.1376.1373.58

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 4564PEPYC 4584PXEPYC 4364PEPYC 4344PEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4244P3691215SE +/- 0.13812, N = 4SE +/- 0.09061, N = 9SE +/- 0.10193, N = 15SE +/- 0.11284, N = 4SE +/- 0.06480, N = 12SE +/- 0.01052, N = 3SE +/- 0.11600, N = 3SE +/- 0.08117, N = 311.5199011.038009.291799.222199.183408.989588.094216.782261. (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: fcn-resnet101-11 - Device: CPU - Executor: ParallelEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P0.39730.79461.19191.58921.9865SE +/- 0.015047, N = 15SE +/- 0.005924, N = 3SE +/- 0.014994, N = 3SE +/- 0.015352, N = 3SE +/- 0.018640, N = 15SE +/- 0.013735, N = 4SE +/- 0.013081, N = 14SE +/- 0.007958, N = 31.7658801.7634901.4932701.4134901.1605401.1281001.0428120.9594411. (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: super-resolution-10 - Device: CPU - Executor: ParallelEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 1.10, N = 3SE +/- 0.51, N = 3SE +/- 0.21, N = 3SE +/- 0.43, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.57, N = 3SE +/- 0.80, N = 3133.32120.35102.6095.2291.5989.2075.8864.291. (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: bertsquad-12 - Device: CPU - Executor: ParallelEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P48121620SE +/- 0.05371, N = 3SE +/- 0.09843, N = 14SE +/- 0.10273, N = 9SE +/- 0.15346, N = 3SE +/- 0.11789, N = 3SE +/- 0.06035, N = 3SE +/- 0.10358, N = 3SE +/- 0.02536, N = 315.5560014.7664012.7624012.6118012.5483012.3239011.537209.154581. (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: StandardEPYC 4484PXEPYC 4464PEPYC 4584PXEPYC 4344PEPYC 4244PEPYC 4564PXeon E-2488EPYC 4364P4080120160200SE +/- 3.26, N = 12SE +/- 1.56, N = 4SE +/- 0.20, N = 3SE +/- 1.56, N = 4SE +/- 0.08, N = 3SE +/- 1.39, N = 15SE +/- 0.39, N = 3SE +/- 0.21, N = 3161.84140.98140.35134.74134.45133.17126.67123.951. (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 4584PXEPYC 4484PXXeon E-2488EPYC 4564PEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244P306090120150SE +/- 0.89, N = 3SE +/- 0.48, N = 3SE +/- 0.46, N = 3SE +/- 0.12, N = 3SE +/- 0.39, N = 3SE +/- 0.23, N = 3SE +/- 0.41, N = 3SE +/- 0.05, N = 3139.02137.92123.28122.63121.99121.29120.28118.961. (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: ArcFace ResNet-100 - Device: CPU - Executor: ParallelEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P918273645SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.27, N = 7SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 337.2734.7230.1929.3727.0226.8623.0419.841. (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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-248890180270360450SE +/- 9.29, N = 15SE +/- 11.38, N = 15SE +/- 9.13, N = 15SE +/- 0.61, N = 3SE +/- 3.81, N = 15SE +/- 0.32, N = 3SE +/- 4.18, N = 15SE +/- 1.81, N = 3422.42418.47378.25373.67343.18323.38291.71224.111. (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: ParallelEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248880160240320400SE +/- 3.68, N = 3SE +/- 1.30, N = 3SE +/- 0.27, N = 3SE +/- 3.53, N = 4SE +/- 0.89, N = 3SE +/- 1.50, N = 3SE +/- 0.43, N = 3SE +/- 1.45, N = 3380.82374.23336.91327.75322.61314.23264.15214.551. (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: CaffeNet 12-int8 - Device: CPU - Executor: ParallelEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24882004006008001000SE +/- 8.12, N = 7SE +/- 8.14, N = 3SE +/- 5.20, N = 3SE +/- 7.33, N = 3SE +/- 7.12, N = 3SE +/- 2.32, N = 3SE +/- 5.55, N = 6SE +/- 3.86, N = 3895.93829.19769.69719.99677.58672.35583.98557.411. (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: Faster R-CNN R-50-FPN-int8 - Device: CPU - Executor: ParallelEPYC 4584PXEPYC 4564PEPYC 4364PEPYC 4344PEPYC 4464PEPYC 4484PXEPYC 4244PXeon E-24881224364860SE +/- 0.57, N = 4SE +/- 0.21, N = 3SE +/- 0.43, N = 3SE +/- 0.32, N = 3SE +/- 0.46, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.30, N = 353.1552.7250.5349.8149.5548.1446.5641.011. (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: T5 Encoder - Device: CPU - Executor: StandardEPYC 4484PXEPYC 4584PXXeon E-2488EPYC 4464PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4364P4080120160200SE +/- 2.12, N = 15SE +/- 1.28, N = 3SE +/- 2.25, N = 15SE +/- 2.03, N = 4SE +/- 2.20, N = 3SE +/- 1.77, N = 4SE +/- 1.14, N = 3SE +/- 0.71, N = 3204.34199.25169.62168.62162.33152.18143.50139.481. (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: T5 Encoder - Device: CPU - Executor: ParallelEPYC 4484PXEPYC 4584PXXeon E-2488EPYC 4564PEPYC 4464PEPYC 4244PEPYC 4364PEPYC 4344P4080120160200SE +/- 0.37, N = 3SE +/- 0.57, N = 3SE +/- 0.97, N = 3SE +/- 0.69, N = 3SE +/- 0.51, N = 3SE +/- 0.12, N = 3SE +/- 1.35, N = 3SE +/- 0.50, N = 3187.78183.82161.31156.77155.88147.28141.63138.371. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P130260390520650SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3606603452446331327288253MIN: 47 / MAX: 8240MIN: 48 / MAX: 8450MIN: 34 / MAX: 5835MIN: 34 / MAX: 6230MIN: 25 / MAX: 4820MIN: 24 / MAX: 4788MIN: 20 / MAX: 4338MIN: 19 / MAX: 3690

OSPRay

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4364PXeon E-24880.01490.02980.04470.05960.07450.0660.0620.0610.0460.0460.0370.0330.029

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.01440.02880.04320.05760.0720.0640.0610.0570.0460.0450.0370.0320.029

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P0.01730.03460.05190.06920.08650.0770.0730.0660.0550.0540.0420.0410.039

OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4564PEPYC 4344PEPYC 4244PEPYC 4364P0.01850.0370.05550.0740.09250.0820.0700.0700.0620.0560.0540.0430.039

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/ao/real_timeEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488246810SE +/- 0.00259, N = 3SE +/- 0.03021, N = 3SE +/- 0.00993, N = 3SE +/- 0.01719, N = 3SE +/- 0.00682, N = 3SE +/- 0.00148, N = 3SE +/- 0.00463, N = 3SE +/- 0.00479, N = 37.466497.307485.347535.185703.910703.816912.950102.73496

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488246810SE +/- 0.02548, N = 3SE +/- 0.00808, N = 3SE +/- 0.01288, N = 3SE +/- 0.01525, N = 3SE +/- 0.00260, N = 3SE +/- 0.01618, N = 3SE +/- 0.01153, N = 3SE +/- 0.00622, N = 37.369097.144705.273335.105893.821383.794882.919512.63851

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P3691215SE +/- 0.00353, N = 3SE +/- 0.00316, N = 3SE +/- 0.00517, N = 3SE +/- 0.00278, N = 3SE +/- 0.00236, N = 3SE +/- 0.00576, N = 3SE +/- 0.00822, N = 3SE +/- 0.00315, N = 38.978138.668326.316056.091484.667574.572223.795393.49699

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P3691215SE +/- 0.00600, N = 3SE +/- 0.00180, N = 3SE +/- 0.00160, N = 3SE +/- 0.00892, N = 3SE +/- 0.00839, N = 3SE +/- 0.00129, N = 3SE +/- 0.00247, N = 3SE +/- 0.00096, N = 38.983998.498696.254186.068955.931614.638284.525523.45577

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/pathtracer/real_timeEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P50100150200250SE +/- 0.68, N = 3SE +/- 1.24, N = 3SE +/- 0.64, N = 3SE +/- 1.13, N = 3SE +/- 0.61, N = 3SE +/- 0.28, N = 3SE +/- 0.42, N = 3SE +/- 0.31, N = 3220.91209.22193.97182.05170.39158.59157.97132.40

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P3691215SE +/- 0.00296, N = 3SE +/- 0.00215, N = 3SE +/- 0.00310, N = 3SE +/- 0.00208, N = 3SE +/- 0.00749, N = 3SE +/- 0.00347, N = 3SE +/- 0.00135, N = 3SE +/- 0.00497, N = 38.981958.499456.238006.056595.886404.618714.516503.44768

GraphicsMagick

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P0.25250.5050.75751.011.26251.1221.1141.0381.0300.8390.8260.7730.715

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.58, N = 3SE +/- 0.00, N = 3SE +/- 1.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31191158987767370601. (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 Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: HWB Color SpaceEPYC 4344PEPYC 4244PEPYC 4484PXXeon E-2488EPYC 4584PXEPYC 4464PEPYC 4364PEPYC 4564P1.14482.28963.43444.57925.7245.0884.6454.2714.1404.1303.6573.6173.146

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: EnhancedEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4564PXeon E-2488EPYC 4244PEPYC 4364P0.17420.34840.52260.69680.8710.7740.7690.6870.5900.5560.5370.4520.413

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: HWB Color SpaceXeon E-2488EPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4484PXEPYC 4244P70140210280350SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 1.73, N = 3SE +/- 1.53, N = 3SE +/- 0.33, N = 3SE +/- 1.20, N = 3SE +/- 0.88, N = 3SE +/- 0.58, N = 33152782682582552492362271. (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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20406080100SE +/- 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 = 3SE +/- 0.33, N = 394926764504949381. (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: ResizingEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P70140210280350SE +/- 1.00, N = 3SE +/- 0.00, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 1.86, N = 3SE +/- 0.00, N = 33383252842582552502442021. (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 Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364P0.10730.21460.32190.42920.53650.4770.4720.4370.3900.3610.3430.2740.255

OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.43Operation: SwirlEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4564PXeon E-2488EPYC 4244PEPYC 4364P0.47930.95861.43791.91722.39652.1302.1011.8251.6821.5461.4261.3051.224

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: SharpenEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P1326395265SE +/- 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 = 358574141363030231. (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: SwirlEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P50100150200250SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.33, N = 3SE +/- 0.00, N = 32502431811631391371301061. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

Coremark

OpenBenchmarking.orgIterations/Sec Per Watt, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4344PXeon E-2488EPYC 4244PEPYC 4364P2K4K6K8K10K8672.167809.587444.526555.886160.334744.534492.124486.45

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P200K400K600K800K1000KSE +/- 9073.63, N = 3SE +/- 1179.52, N = 3SE +/- 7794.37, N = 3SE +/- 7061.60, N = 3SE +/- 1076.82, N = 3SE +/- 4350.78, N = 3SE +/- 3256.58, N = 15SE +/- 954.28, N = 3951674.51923331.48648144.00625696.15499103.50491021.69430017.46372162.821. (CC) gcc options: -O2 -lrt" -lrt

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248820K40K60K80K100KSE +/- 153.97, N = 3SE +/- 75.15, N = 3SE +/- 41.76, N = 3SE +/- 7.31, N = 3SE +/- 45.75, N = 3SE +/- 20.41, N = 3SE +/- 28.81, N = 3SE +/- 17.95, N = 392259.9588626.4567324.6862286.2048527.8246525.7835520.7335441.711. (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

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: scryptEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248870140210280350SE +/- 1.34, N = 3SE +/- 1.22, N = 3SE +/- 1.04, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3308.21298.15227.45210.64162.88157.91120.39119.861. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Triple SHA-256, OnecoinEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20K40K60K80K100KSE +/- 146.40, N = 3SE +/- 20.82, N = 3SE +/- 188.09, N = 3SE +/- 72.11, N = 3SE +/- 8.82, N = 3SE +/- 25.17, N = 3SE +/- 3.33, N = 3SE +/- 11.55, N = 397340939707151767820510874990038847327101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Quad SHA-256, PyriteEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P13K26K39K52K65KSE +/- 331.71, N = 3SE +/- 454.25, N = 3SE +/- 26.67, N = 3SE +/- 3.33, N = 3SE +/- 38.44, N = 3SE +/- 78.81, N = 3SE +/- 3.33, N = 3SE +/- 58.59, N = 361360600674519742507322933190326527207201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 23.5Algorithm: MagiEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4364PXeon E-24881.29832.59663.89495.19326.49155.7705.5175.3584.1684.0363.1023.0662.877

OpenBenchmarking.orgkH/s Per Watt, More Is BetterCpuminer-Opt 23.5Algorithm: RingcoinEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-248871421283528.9428.5328.4122.8122.3517.3717.1415.90

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Myriad-GroestlEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P2K4K6K8K10KSE +/- 13.33, N = 3SE +/- 3.33, N = 3SE +/- 5.30, N = 3SE +/- 39.39, N = 3SE +/- 6.11, N = 3SE +/- 3.31, N = 3SE +/- 30.23, N = 3SE +/- 8.61, N = 311337.0011207.008480.448184.445972.095929.564843.724487.281. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: MagiEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P140280420560700SE +/- 0.26, N = 3SE +/- 0.22, N = 3SE +/- 0.52, N = 3SE +/- 0.16, N = 3SE +/- 0.30, N = 3SE +/- 2.02, N = 3SE +/- 0.39, N = 3SE +/- 1.33, N = 3633.44617.79469.54453.87330.62328.70278.09248.851. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: Blake-2 SEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P30K60K90K120K150KSE +/- 99.39, N = 3SE +/- 41.77, N = 3SE +/- 40.41, N = 3SE +/- 103.98, N = 3SE +/- 29.06, N = 3SE +/- 20.82, N = 3SE +/- 460.90, N = 3SE +/- 30.00, N = 3142753140467106790100853745137313056160538701. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: RingcoinEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P8001600240032004000SE +/- 20.59, N = 3SE +/- 6.91, N = 3SE +/- 2.15, N = 3SE +/- 2.43, N = 3SE +/- 4.79, N = 3SE +/- 2.14, N = 3SE +/- 3.73, N = 3SE +/- 1.54, N = 33500.133424.572586.652468.431851.251806.871437.471364.321. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: SkeincoinEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P7K14K21K28K35KSE +/- 11.55, N = 3SE +/- 8.82, N = 3SE +/- 134.45, N = 3SE +/- 42.56, N = 3SE +/- 39.30, N = 3SE +/- 11.55, N = 3SE +/- 139.08, N = 3SE +/- 11.55, N = 334640336932558324937179831758013933133901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: GarlicoinEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P7001400210028003500SE +/- 4.61, N = 3SE +/- 0.76, N = 3SE +/- 11.09, N = 3SE +/- 3.95, N = 3SE +/- 1.43, N = 3SE +/- 2.95, N = 3SE +/- 4.51, N = 3SE +/- 1.62, N = 33179.323149.432391.442229.571674.991637.721356.311243.881. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: DeepcoinEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P2K4K6K8K10KSE +/- 5.77, N = 3SE +/- 18.11, N = 3SE +/- 23.29, N = 3SE +/- 7.14, N = 3SE +/- 3.02, N = 3SE +/- 1.63, N = 3SE +/- 36.27, N = 3SE +/- 1.04, N = 38356.748225.266229.265939.524377.744280.913294.493247.541. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 23.5Algorithm: LBC, LBRY CreditsEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24883K6K9K12K15KSE +/- 5.77, N = 3SE +/- 106.67, N = 3SE +/- 3.33, N = 3SE +/- 3.33, N = 3SE +/- 7.26, N = 3SE +/- 27.28, N = 3SE +/- 2.97, N = 3SE +/- 15.18, N = 316120.0015777.0011867.0011623.008389.158323.696265.106037.261. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24880.94051.8812.82153.7624.7025SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 5SE +/- 0.03, N = 3SE +/- 0.02, N = 11SE +/- 0.02, N = 3SE +/- 0.02, N = 5SE +/- 0.01, N = 154.184.152.812.772.102.081.461.45MIN: 1.81 / MAX: 4.75MIN: 1.74 / MAX: 4.72MIN: 1.01 / MAX: 3.32MIN: 0.99 / MAX: 3.25MIN: 0.64 / MAX: 2.54MIN: 0.66 / MAX: 2.47MIN: 0.38 / MAX: 1.85MIN: 0.39 / MAX: 1.82

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P0.0090.0180.0270.0360.0450.0400.0380.0340.0320.0290.0240.0230.022

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P48121620SE +/- 0.06, N = 5SE +/- 0.05, N = 5SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.04, N = 4SE +/- 0.03, N = 4SE +/- 0.03, N = 3SE +/- 0.01, N = 316.9816.4312.7012.3011.9311.599.358.88MIN: 15.46 / MAX: 17.3MIN: 15.06 / MAX: 16.65MIN: 11.78 / MAX: 12.96MIN: 11.45 / MAX: 12.4MIN: 11.1 / MAX: 12.12MIN: 10.79 / MAX: 11.71MIN: 8.52 / MAX: 10.72MIN: 8.44 / MAX: 8.94

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24880.00810.01620.02430.03240.04050.0360.0360.0310.0280.0270.0200.0190.018

OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P0.01420.02840.04260.05680.0710.0630.0600.0550.0520.0450.0390.0380.036

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1.1252.253.3754.55.625SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.004.883.483.472.752.672.132.06MIN: 4.85 / MAX: 5.35MIN: 4.77 / MAX: 5.16MIN: 3.39 / MAX: 3.64MIN: 3.38 / MAX: 3.64MIN: 2.66 / MAX: 2.86MIN: 2.59 / MAX: 2.76MIN: 2.03 / MAX: 2.65MIN: 2 / MAX: 2.12

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1.04632.09263.13894.18525.2315SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.654.553.123.122.412.331.691.68MIN: 2.03 / MAX: 5.27MIN: 1.97 / MAX: 5.16MIN: 1.17 / MAX: 3.62MIN: 1.19 / MAX: 3.62MIN: 0.82 / MAX: 2.85MIN: 0.78 / MAX: 2.76MIN: 0.51 / MAX: 2.04MIN: 0.5 / MAX: 2.06

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 37.727.655.555.554.424.303.583.30MIN: 6.87 / MAX: 8.15MIN: 6.89 / MAX: 7.99MIN: 5.19 / MAX: 5.69MIN: 5.2 / MAX: 5.66MIN: 4.32 / MAX: 4.49MIN: 4.24 / MAX: 4.36MIN: 3.44 / MAX: 4.42MIN: 3.26 / MAX: 3.33

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 4584PXEPYC 4484PXEPYC 4464PEPYC 4564PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-24882004006008001000SE +/- 2.98, N = 3SE +/- 6.53, N = 3SE +/- 2.23, N = 3SE +/- 6.27, N = 9SE +/- 1.07, N = 3SE +/- 1.88, N = 3SE +/- 2.29, N = 3SE +/- 3.15, N = 3970.7942.3798.4793.8525.1520.3500.0485.61. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P2004006008001000SE +/- 3.15, N = 3SE +/- 3.16, N = 3SE +/- 3.49, N = 3SE +/- 1.33, N = 3SE +/- 0.50, N = 3SE +/- 0.95, N = 3SE +/- 1.12, N = 3SE +/- 1.62, N = 3961.2888.7797.0745.5532.3527.9504.1482.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4564PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P60120180240300SE +/- 1.66, N = 3SE +/- 6.73, N = 15SE +/- 2.73, N = 3SE +/- 2.97, N = 3SE +/- 0.62, N = 3SE +/- 0.92, N = 3SE +/- 2.27, N = 3SE +/- 0.43, N = 3273.1248.0221.2220.9177.9171.0170.6164.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4564PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-2488612182430SE +/- 0.23, N = 15SE +/- 0.48, N = 12SE +/- 0.17, N = 15SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 324.022.520.018.818.318.018.016.31. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4564PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-24883691215SE +/- 0.15, N = 3SE +/- 0.14, N = 5SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 313.2012.9011.5010.7010.5010.2010.208.911. (CC) gcc options: -O3 -pthread -lz -llzma

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 4564PEPYC 4584PXEPYC 4364PEPYC 4344PEPYC 4464PEPYC 4484PXEPYC 4244PXeon E-248830060090012001500SE +/- 0.05, N = 4SE +/- 18.52, N = 4SE +/- 0.10, N = 6SE +/- 0.05, N = 5SE +/- 0.14, N = 4SE +/- 0.05, N = 4SE +/- 0.65, N = 6SE +/- 9.26, N = 151611.51592.31470.51469.81351.91273.91206.01068.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 1019.4 / MAX: 1611.6-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 927.1 / MAX: 1610.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 849.1 / MAX: 1470.7-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 849.1 / MAX: 1470-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 955 / MAX: 1352.2-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 849.1 / MAX: 1274-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 763.8 / MAX: 1207.4MIN: 637.2 / MAX: 1111.51. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput ThreadEPYC 4584PXEPYC 4464PEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4344PEPYC 4244PXeon E-24884080120160200SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.00, N = 4SE +/- 0.03, N = 4SE +/- 0.00, N = 4SE +/- 3.58, N = 15SE +/- 7.12, N = 15183.6183.6183.6183.5183.4183.4179.8153.6-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 106-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 106-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 106-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.8-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9-mavx512f -mavx512cd -mavx512bw -mavx512dq - MIN: 105.9 / MAX: 183.4MIN: 105.1 / MAX: 182.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4364PEPYC 4244PXeon E-24883K6K9K12K15KSE +/- 68.24, N = 6SE +/- 51.53, N = 6SE +/- 22.68, N = 6SE +/- 99.73, N = 6SE +/- 11.93, N = 7SE +/- 38.56, N = 7SE +/- 13.19, N = 7SE +/- 5.11, N = 513807.212852.610640.89792.57583.77530.06218.22908.5-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 -mavx512dq1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput ThreadEPYC 4244PEPYC 4344PEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4584PXXeon E-24882004006008001000SE +/- 6.27, N = 10SE +/- 7.98, N = 10SE +/- 3.24, N = 10SE +/- 5.92, N = 10SE +/- 7.68, N = 9SE +/- 1.53, N = 9SE +/- 3.58, N = 9SE +/- 5.58, N = 91073.61071.01061.51049.11034.9908.8907.5809.6-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 -mavx512dq1. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -fno-trapping-math -fno-math-errno -ldl

Timed Linux Kernel Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 6.8CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4244PEPYC 4464PXeon E-248810002000300040005000Min: 5057 / Avg: 5166.21 / Max: 5489Min: 4988 / Avg: 5111.64 / Max: 5483Min: 4845 / Avg: 4987.83 / Max: 5589Min: 4784 / Avg: 4920.58 / Max: 5340Min: 400 / Avg: 4893.86 / Max: 5339Min: 400 / Avg: 4851.49 / Max: 5140Min: 4543 / Avg: 4780.65 / Max: 5440Min: 4100 / Avg: 4393.28 / Max: 5600

OpenBenchmarking.orgMegahertz, More Is BetterTimed Linux Kernel Compilation 6.8CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4936 / Avg: 5072.99 / Max: 5489Min: 4750 / Avg: 4962.23 / Max: 5489Min: 400 / Avg: 4941.1 / Max: 5148Min: 4818 / Avg: 4893.27 / Max: 5340Min: 400 / Avg: 4846.56 / Max: 5589Min: 4705 / Avg: 4786.07 / Max: 5215Min: 4489 / Avg: 4596.02 / Max: 5440Min: 4099 / Avg: 4163.47 / Max: 5626

Timed FFmpeg Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed FFmpeg Compilation 6.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4244PEPYC 4464PEPYC 4484PXEPYC 4344PXeon E-248810002000300040005000Min: 4868 / Avg: 5120.18 / Max: 5504Min: 5018 / Avg: 5109.92 / Max: 5489Min: 4722 / Avg: 4865.24 / Max: 5184Min: 400 / Avg: 4797.61 / Max: 5140Min: 4469 / Avg: 4762.5 / Max: 5440Min: 400 / Avg: 4647.68 / Max: 5166Min: 400 / Avg: 4605.93 / Max: 5339Min: 1799 / Avg: 4279.07 / Max: 5414

Timed Godot Game Engine Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Godot Game Engine Compilation 4.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4990 / Avg: 5131.31 / Max: 5489Min: 4872 / Avg: 5073.57 / Max: 5515Min: 4921 / Avg: 4997.92 / Max: 5140Min: 400 / Avg: 4913.66 / Max: 5340Min: 400 / Avg: 4879.02 / Max: 5596Min: 4709 / Avg: 4856.38 / Max: 5240Min: 4521 / Avg: 4726.36 / Max: 5440Min: 3919 / Avg: 4300.51 / Max: 5600

Timed Node.js Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Node.js Compilation 21.7.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4912 / Avg: 5166.9 / Max: 5489Min: 4899 / Avg: 5100.52 / Max: 5559Min: 400 / Avg: 5054.65 / Max: 5145Min: 400 / Avg: 5003.08 / Max: 5340Min: 4811 / Avg: 4956.04 / Max: 5538Min: 4756 / Avg: 4885.21 / Max: 5215Min: 4499 / Avg: 4811.26 / Max: 5440Min: 3201 / Avg: 4424.09 / Max: 5596

Timed Gem5 Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Gem5 Compilation 23.0.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 5010 / Avg: 5183.91 / Max: 5489Min: 4966 / Avg: 5137.69 / Max: 5494Min: 4909 / Avg: 5045.46 / Max: 5141Min: 400 / Avg: 4991.49 / Max: 5340Min: 4772 / Avg: 4974.9 / Max: 5583Min: 4752 / Avg: 4922.17 / Max: 5440Min: 4550 / Avg: 4864.24 / Max: 5456Min: 4080 / Avg: 4396.93 / Max: 5600

Timed LLVM Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 16.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4960 / Avg: 5130.85 / Max: 5502Min: 4793 / Avg: 5054.87 / Max: 5494Min: 400 / Avg: 5026.69 / Max: 5140Min: 4792 / Avg: 4968.93 / Max: 5340Min: 400 / Avg: 4885.36 / Max: 5589Min: 4778 / Avg: 4869.05 / Max: 5464Min: 4446 / Avg: 4754.8 / Max: 5440Min: 3453 / Avg: 4259.26 / Max: 5600

OpenBenchmarking.orgMegahertz, More Is BetterTimed LLVM Compilation 16.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 5005 / Avg: 5143.78 / Max: 5489Min: 4970 / Avg: 5089.62 / Max: 5493Min: 4897 / Avg: 5043.54 / Max: 5142Min: 400 / Avg: 4971.39 / Max: 5340Min: 4797 / Avg: 4939.56 / Max: 5440Min: 4752 / Avg: 4907.14 / Max: 5412Min: 4536 / Avg: 4801.36 / Max: 5440Min: 4041 / Avg: 4324.16 / Max: 5611

Timed PHP Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed PHP Compilation 8.3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4464PEPYC 4584PXEPYC 4484PXXeon E-2488EPYC 4244P10002000300040005000Min: 5037 / Avg: 5256.33 / Max: 5489Min: 4992 / Avg: 5242.72 / Max: 5495Min: 4858 / Avg: 5107.61 / Max: 5339Min: 4587 / Avg: 5106.38 / Max: 5440Min: 4811 / Avg: 5071.04 / Max: 5336Min: 400 / Avg: 4889.46 / Max: 5439Min: 3201 / Avg: 4786.68 / Max: 5597Min: 400 / Avg: 4678.36 / Max: 5142

Timed Wasmer Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Wasmer Compilation 2.3CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4244PEPYC 4484PXXeon E-2488EPYC 4344P10002000300040005000Min: 5069 / Avg: 5255.26 / Max: 5490Min: 5070 / Avg: 5226.85 / Max: 5489Min: 4858 / Avg: 5092.89 / Max: 5392Min: 4524 / Avg: 5081.53 / Max: 5448Min: 400 / Avg: 4848.23 / Max: 5140Min: 400 / Avg: 4837.47 / Max: 5515Min: 4100 / Avg: 4668.71 / Max: 5600Min: 400 / Avg: 4613.38 / Max: 5343

Timed Mesa Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed Mesa Compilation 24.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4244PEPYC 4484PXEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 4971 / Avg: 5159.67 / Max: 5501Min: 4991 / Avg: 5152.6 / Max: 5489Min: 4765 / Avg: 5024.42 / Max: 5330Min: 4918 / Avg: 4979.39 / Max: 5140Min: 4842 / Avg: 4971.29 / Max: 5438Min: 4438 / Avg: 4842.67 / Max: 5415Min: 400 / Avg: 4720.74 / Max: 5339Min: 4027 / Avg: 4538.86 / Max: 5611

Timed CPython Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed CPython Compilation 3.10.6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4464PXeon E-2488EPYC 4364PEPYC 4584PXEPYC 4244PEPYC 4484PXEPYC 4344P10002000300040005000Min: 5115 / Avg: 5374.19 / Max: 5490Min: 4507 / Avg: 5350.85 / Max: 5440Min: 4215 / Avg: 5349.28 / Max: 5610Min: 5044 / Avg: 5343.4 / Max: 5488Min: 4916 / Avg: 5166.33 / Max: 5440Min: 4933 / Avg: 5102.67 / Max: 5140Min: 400 / Avg: 5080.31 / Max: 5564Min: 400 / Avg: 5006.85 / Max: 5339

nginx

OpenBenchmarking.orgMegahertz, More Is Betternginx 1.23.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4584PXEPYC 4344PEPYC 4464PEPYC 4484PXXeon E-248810002000300040005000Min: 5049 / Avg: 5094.15 / Max: 5325Min: 4989 / Avg: 5037.14 / Max: 5507Min: 400 / Avg: 4838.69 / Max: 4995Min: 4771 / Avg: 4833.35 / Max: 5403Min: 400 / Avg: 4670.73 / Max: 5140Min: 4494 / Avg: 4599.96 / Max: 5268Min: 400 / Avg: 4597.74 / Max: 4892Min: 3947 / Avg: 4056.43 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is Betternginx 1.23.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4464PXeon E-248810002000300040005000Min: 5043 / Avg: 5096.85 / Max: 5330Min: 4999 / Avg: 5057.69 / Max: 5496Min: 400 / Avg: 4855.06 / Max: 5024Min: 4754 / Avg: 4805.16 / Max: 5189Min: 400 / Avg: 4708.49 / Max: 5440Min: 400 / Avg: 4678.56 / Max: 5140Min: 4457 / Avg: 4634.17 / Max: 5257Min: 3891 / Avg: 4085.86 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is Betternginx 1.23.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4464PXeon E-248810002000300040005000Min: 5104 / Avg: 5133.35 / Max: 5326Min: 5040 / Avg: 5081.54 / Max: 5494Min: 400 / Avg: 4873.94 / Max: 5053Min: 4740 / Avg: 4823.9 / Max: 5067Min: 400 / Avg: 4797.65 / Max: 5140Min: 400 / Avg: 4703.94 / Max: 5439Min: 4223 / Avg: 4675.68 / Max: 5249Min: 4000 / Avg: 4091.18 / Max: 5200

OpenSSL

OpenBenchmarking.orgMegahertz, More Is BetterOpenSSL 3.3CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4814 / Avg: 5034.07 / Max: 5326Min: 400 / Avg: 4915.35 / Max: 5142Min: 4591 / Avg: 4873.66 / Max: 5502Min: 4340 / Avg: 4859.39 / Max: 5165Min: 400 / Avg: 4670.54 / Max: 5015Min: 4296 / Avg: 4663.48 / Max: 5207Min: 4148 / Avg: 4635 / Max: 5264Min: 2400 / Avg: 4333.06 / Max: 5200

John The Ripper

OpenBenchmarking.orgMegahertz, More Is BetterJohn The Ripper 2023.03.14CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-248810002000300040005000Min: 5010 / Avg: 5053.33 / Max: 5327Min: 4816 / Avg: 4933.23 / Max: 5506Min: 400 / Avg: 4671.97 / Max: 5141Min: 400 / Avg: 4637.03 / Max: 5108Min: 4527 / Avg: 4621.2 / Max: 5190Min: 4408 / Avg: 4573 / Max: 5261Min: 400 / Avg: 4570.71 / Max: 5440Min: 4033 / Avg: 4343.06 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterJohn The Ripper 2023.03.14CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4364P @ DDR5-5200EPYC 4564P @ DDR5-5200EPYC 4564PEPYC 4344PEPYC 4464PEPYC 4464P @ DDR5-5200EPYC 4484PXEPYC 4584PX @ DDR5-5200EPYC 4584PXEPYC 4344P @ DDR5-5200EPYC 4244PXeon E-2488 @ DDR5-4800EPYC 4484PX @ DDR5-5200EPYC 4244P @ DDR5-5200Xeon E-248810002000300040005000Min: 5070 / Avg: 5118.6 / Max: 5330Min: 5066 / Avg: 5116.29 / Max: 5325Min: 4989 / Avg: 5088 / Max: 5505Min: 4968 / Avg: 5071.47 / Max: 5491Min: 4953 / Avg: 4998.37 / Max: 5141Min: 4833 / Avg: 4919.06 / Max: 5255Min: 4840 / Avg: 4916 / Max: 5234Min: 4800 / Avg: 4908 / Max: 5440Min: 4696 / Avg: 4831.47 / Max: 5062Min: 4727 / Avg: 4825.5 / Max: 5197Min: 400 / Avg: 4749.84 / Max: 5137Min: 400 / Avg: 4725.35 / Max: 5056Min: 4294 / Avg: 4471.95 / Max: 5200Min: 400 / Avg: 4383.1 / Max: 4877Min: 400 / Avg: 4280.11 / Max: 5038Min: 2400 / Avg: 4275.24 / Max: 4802

OpenBenchmarking.orgMegahertz, More Is BetterJohn The Ripper 2023.03.14CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4244PXeon E-248810002000300040005000Min: 5130 / Avg: 5246.4 / Max: 5473Min: 5082 / Avg: 5184.62 / Max: 5503Min: 4677 / Avg: 5017.91 / Max: 5249Min: 4739 / Avg: 4877.82 / Max: 5307Min: 400 / Avg: 4808.64 / Max: 5041Min: 400 / Avg: 4667.76 / Max: 5329Min: 400 / Avg: 4534.4 / Max: 4929Min: 3487 / Avg: 4488.16 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterJohn The Ripper 2023.03.14CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4584PXEPYC 4464PEPYC 4344PXeon E-2488EPYC 4484PX10002000300040005000Min: 4965 / Avg: 5121.11 / Max: 5328Min: 4877 / Avg: 5054.95 / Max: 5491Min: 4912 / Avg: 4923.89 / Max: 4941Min: 4736 / Avg: 4809.63 / Max: 5382Min: 4631 / Avg: 4741 / Max: 5268Min: 400 / Avg: 4645.56 / Max: 4924Min: 4103 / Avg: 4398.39 / Max: 5210Min: 400 / Avg: 4335.26 / Max: 4818

ScyllaDB

OpenBenchmarking.orgMegahertz, More Is BetterScyllaDB 5.2.9CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4584PXEPYC 4344PEPYC 4464PEPYC 4484PXEPYC 4244PXeon E-248810002000300040005000Min: 5042 / Avg: 5137.85 / Max: 5441Min: 4977 / Avg: 5118.63 / Max: 5547Min: 4689 / Avg: 4911.1 / Max: 5370Min: 400 / Avg: 4789.25 / Max: 5338Min: 4525 / Avg: 4761.6 / Max: 5261Min: 400 / Avg: 4697.84 / Max: 5478Min: 400 / Avg: 4621.74 / Max: 5140Min: 801 / Avg: 4276.06 / Max: 5235

DuckDB

OpenBenchmarking.orgMegahertz, More Is BetterDuckDB 0.9.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4584PXEPYC 4244PXeon E-2488EPYC 4484PX10002000300040005000Min: 4961 / Avg: 5212.82 / Max: 5489Min: 4993 / Avg: 5203.83 / Max: 5531Min: 4457 / Avg: 5061.79 / Max: 5442Min: 400 / Avg: 4967.46 / Max: 5339Min: 4633 / Avg: 4939.03 / Max: 5165Min: 400 / Avg: 4923.07 / Max: 5143Min: 4200 / Avg: 4836.2 / Max: 5600Min: 400 / Avg: 4793.26 / Max: 5439

Apache IoTDB

OpenBenchmarking.orgMegahertz, More Is BetterApache IoTDB 1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PXeon E-2488EPYC 4484PXEPYC 4244PEPYC 4344P10002000300040005000Min: 5074 / Avg: 5334.45 / Max: 5530Min: 5017 / Avg: 5232.57 / Max: 5486Min: 4891 / Avg: 5160.4 / Max: 5467Min: 4789 / Avg: 5127.11 / Max: 5440Min: 801 / Avg: 4606.91 / Max: 5321Min: 400 / Avg: 4498.97 / Max: 5444Min: 400 / Avg: 4416.8 / Max: 5140Min: 400 / Avg: 4387.42 / Max: 5339

OpenBenchmarking.orgMegahertz, More Is BetterApache IoTDB 1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4244PEPYC 4344P10002000300040005000Min: 5029 / Avg: 5349.29 / Max: 5562Min: 5048 / Avg: 5245.15 / Max: 5489Min: 4879 / Avg: 5177.73 / Max: 5498Min: 4822 / Avg: 5153.57 / Max: 5444Min: 400 / Avg: 4570.51 / Max: 5638Min: 1538 / Avg: 4561.09 / Max: 5416Min: 400 / Avg: 4487.88 / Max: 5140Min: 400 / Avg: 4430.53 / Max: 5339

OpenBenchmarking.orgMegahertz, More Is BetterApache IoTDB 1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4244PXeon E-2488EPYC 4344P10002000300040005000Min: 5066 / Avg: 5272.28 / Max: 5540Min: 5001 / Avg: 5205.78 / Max: 5489Min: 4708 / Avg: 5089.57 / Max: 5490Min: 4674 / Avg: 5089.16 / Max: 5447Min: 400 / Avg: 4852.16 / Max: 5441Min: 400 / Avg: 4659.78 / Max: 5140Min: 801 / Avg: 4573.08 / Max: 5403Min: 400 / Avg: 4546.3 / Max: 5338

OpenBenchmarking.orgMegahertz, More Is BetterApache IoTDB 1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4244PEPYC 4484PXEPYC 4344PXeon E-248810002000300040005000Min: 5059 / Avg: 5272.56 / Max: 5539Min: 5025 / Avg: 5217.13 / Max: 5480Min: 4880 / Avg: 5090.26 / Max: 5458Min: 4573 / Avg: 5076.98 / Max: 5440Min: 400 / Avg: 4722.2 / Max: 5144Min: 400 / Avg: 4633.71 / Max: 5546Min: 400 / Avg: 4538.82 / Max: 5339Min: 802 / Avg: 4511.4 / Max: 5508

OpenBenchmarking.orgMegahertz, More Is BetterApache IoTDB 1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXEPYC 4244PEPYC 4344PEPYC 4484PXXeon E-248810002000300040005000Min: 5080 / Avg: 5280.11 / Max: 5538Min: 5017 / Avg: 5201.24 / Max: 5479Min: 4579 / Avg: 5087.94 / Max: 5444Min: 4831 / Avg: 5087 / Max: 5461Min: 400 / Avg: 4755.54 / Max: 5140Min: 400 / Avg: 4651.69 / Max: 5339Min: 400 / Avg: 4619.47 / Max: 5443Min: 801 / Avg: 4400.91 / Max: 5412

OpenBenchmarking.orgMegahertz, More Is BetterApache IoTDB 1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4484PXEPYC 4244PXeon E-248810002000300040005000Min: 5018 / Avg: 5283.89 / Max: 5538Min: 4993 / Avg: 5201.06 / Max: 5489Min: 4862 / Avg: 5095.54 / Max: 5531Min: 4451 / Avg: 5086.22 / Max: 5440Min: 400 / Avg: 4712.34 / Max: 5338Min: 400 / Avg: 4694.25 / Max: 5536Min: 400 / Avg: 4685.48 / Max: 5140Min: 801 / Avg: 4516.17 / Max: 5438

OpenBenchmarking.orgMegahertz, More Is BetterApache IoTDB 1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4484PXXeon E-248810002000300040005000Min: 5038 / Avg: 5223.66 / Max: 5535Min: 5005 / Avg: 5169.06 / Max: 5489Min: 4750 / Avg: 5047.04 / Max: 5516Min: 4437 / Avg: 4998.76 / Max: 5445Min: 400 / Avg: 4800.35 / Max: 5417Min: 400 / Avg: 4777.87 / Max: 5140Min: 400 / Avg: 4685.62 / Max: 5440Min: 801 / Avg: 4407.43 / Max: 5457

OpenBenchmarking.orgMegahertz, More Is BetterApache IoTDB 1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4244PEPYC 4484PXEPYC 4344PXeon E-248810002000300040005000Min: 4998 / Avg: 5232.41 / Max: 5534Min: 4803 / Avg: 5179.2 / Max: 5489Min: 4819 / Avg: 5030.15 / Max: 5513Min: 4537 / Avg: 5025.98 / Max: 5440Min: 400 / Avg: 4881.39 / Max: 5140Min: 400 / Avg: 4847.68 / Max: 5442Min: 400 / Avg: 4766.51 / Max: 5339Min: 1793 / Avg: 4419.77 / Max: 5600

ClickHouse

OpenBenchmarking.orgMegahertz, More Is BetterClickHouse 22.12.3.5CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4244PXeon E-248810002000300040005000Min: 4795 / Avg: 5246.28 / Max: 5511Min: 4967 / Avg: 5242.15 / Max: 5488Min: 4308 / Avg: 5153.95 / Max: 5441Min: 4727 / Avg: 5049.3 / Max: 5400Min: 400 / Avg: 5023.62 / Max: 5341Min: 4739 / Avg: 4995.12 / Max: 5439Min: 400 / Avg: 4950.82 / Max: 5141Min: 4036 / Avg: 4762.7 / Max: 5405

MariaDB mariadb-slap

OpenBenchmarking.orgMegahertz, More Is BetterMariaDB mariadb-slap 11.5CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4464PEPYC 4364PEPYC 4564PXeon E-2488EPYC 4344PEPYC 4584PXEPYC 4484PXEPYC 4244P10002000300040005000Min: 5101 / Avg: 5366.96 / Max: 5445Min: 5179 / Avg: 5314.07 / Max: 5489Min: 5172 / Avg: 5312.31 / Max: 5495Min: 4291 / Avg: 5292.9 / Max: 5600Min: 400 / Avg: 5143.66 / Max: 5339Min: 4906 / Avg: 5120.89 / Max: 5434Min: 400 / Avg: 4983.3 / Max: 5454Min: 400 / Avg: 4960.16 / Max: 5140

OpenBenchmarking.orgMegahertz, More Is BetterMariaDB mariadb-slap 11.5CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4464PXeon E-2488EPYC 4564PEPYC 4364PEPYC 4344PEPYC 4584PXEPYC 4244PEPYC 4484PX10002000300040005000Min: 5056 / Avg: 5352.43 / Max: 5455Min: 4245 / Avg: 5323.2 / Max: 5623Min: 5145 / Avg: 5295 / Max: 5531Min: 5195 / Avg: 5290.7 / Max: 5470Min: 5110 / Avg: 5218.84 / Max: 5339Min: 4879 / Avg: 5102.66 / Max: 5396Min: 400 / Avg: 5039.56 / Max: 5140Min: 400 / Avg: 4850.21 / Max: 5489

MariaDB

OpenBenchmarking.orgMegahertz, More Is BetterMariaDB 11.5CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 5164 / Avg: 5262.78 / Max: 5572Min: 5156 / Avg: 5244.28 / Max: 5489Min: 4862 / Avg: 5129.89 / Max: 5445Min: 4954 / Avg: 5118.61 / Max: 5447Min: 400 / Avg: 5059.87 / Max: 5513Min: 400 / Avg: 5014.52 / Max: 5140Min: 400 / Avg: 4984.81 / Max: 5339Min: 3988 / Avg: 4753.06 / Max: 5627

OpenBenchmarking.orgMegahertz, More Is BetterMariaDB 11.5CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4244PEPYC 4344PEPYC 4484PXXeon E-248810002000300040005000Min: 5153 / Avg: 5249.46 / Max: 5489Min: 5094 / Avg: 5220.75 / Max: 5536Min: 4917 / Avg: 5098.43 / Max: 5443Min: 4875 / Avg: 5062.43 / Max: 5477Min: 400 / Avg: 5054.06 / Max: 5140Min: 400 / Avg: 5023.2 / Max: 5339Min: 400 / Avg: 4956.4 / Max: 5443Min: 4279 / Avg: 4769.4 / Max: 5629

OpenBenchmarking.orgMegahertz, More Is BetterMariaDB 11.5CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4244PEPYC 4344PEPYC 4484PXXeon E-248810002000300040005000Min: 5153 / Avg: 5245.83 / Max: 5489Min: 5139 / Avg: 5231.59 / Max: 5516Min: 4922 / Avg: 5118.33 / Max: 5444Min: 4841 / Avg: 5082.71 / Max: 5443Min: 400 / Avg: 5080.4 / Max: 5142Min: 400 / Avg: 5032.16 / Max: 5340Min: 400 / Avg: 5001.91 / Max: 5588Min: 3765 / Avg: 4780.38 / Max: 5618

OpenBenchmarking.orgMegahertz, More Is BetterMariaDB 11.5CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4244PEPYC 4584PXEPYC 4344PEPYC 4484PXXeon E-248810002000300040005000Min: 5153 / Avg: 5248.07 / Max: 5489Min: 5110 / Avg: 5244.98 / Max: 5538Min: 4936 / Avg: 5120.84 / Max: 5447Min: 4581 / Avg: 5104.53 / Max: 5140Min: 4882 / Avg: 5103.59 / Max: 5500Min: 400 / Avg: 5063.72 / Max: 5339Min: 4888 / Avg: 5034.79 / Max: 5218Min: 4383 / Avg: 4815.08 / Max: 5604

PostgreSQL

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL 16CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4244PXeon E-248810002000300040005000Min: 5141 / Avg: 5199.25 / Max: 5465Min: 5104 / Avg: 5178.64 / Max: 5536Min: 4860 / Avg: 5005.42 / Max: 5440Min: 4860 / Avg: 4974 / Max: 5407Min: 4840 / Avg: 4971.75 / Max: 5190Min: 400 / Avg: 4872.34 / Max: 5330Min: 400 / Avg: 4685.47 / Max: 5140Min: 802 / Avg: 4386.64 / Max: 5439

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL 16CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 5177 / Avg: 5231.33 / Max: 5393Min: 5026 / Avg: 5106.2 / Max: 5538Min: 4877 / Avg: 4957.43 / Max: 5190Min: 4868 / Avg: 4934.79 / Max: 5252Min: 4704 / Avg: 4873.73 / Max: 5401Min: 400 / Avg: 4728.53 / Max: 5140Min: 400 / Avg: 4650.33 / Max: 5339Min: 3602 / Avg: 4524.49 / Max: 5600

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL 16CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 5152 / Avg: 5196.32 / Max: 5427Min: 5055 / Avg: 5174.32 / Max: 5498Min: 4854 / Avg: 4967.59 / Max: 5239Min: 4812 / Avg: 4961.51 / Max: 5440Min: 4780 / Avg: 4956.71 / Max: 5190Min: 400 / Avg: 4921.33 / Max: 5140Min: 400 / Avg: 4677.29 / Max: 5339Min: 4079 / Avg: 4498.46 / Max: 5600

OpenBenchmarking.orgMegahertz, More Is BetterPostgreSQL 16CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4464PEPYC 4584PXEPYC 4244PXeon E-248810002000300040005000Min: 5105 / Avg: 5276.84 / Max: 5489Min: 5075 / Avg: 5159.96 / Max: 5513Min: 400 / Avg: 5087.21 / Max: 5339Min: 4908 / Avg: 4976.82 / Max: 5194Min: 4832 / Avg: 4954.64 / Max: 5440Min: 4891 / Avg: 4952.05 / Max: 5384Min: 400 / Avg: 4804.22 / Max: 5140Min: 801 / Avg: 4594.43 / Max: 5357

CockroachDB

OpenBenchmarking.orgMegahertz, More Is BetterCockroachDB 22.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 5125 / Avg: 5166.45 / Max: 5489Min: 5082 / Avg: 5140.57 / Max: 5513Min: 4934 / Avg: 5051.98 / Max: 5123Min: 4938 / Avg: 4992.05 / Max: 5295Min: 4802 / Avg: 4978.18 / Max: 5208Min: 4852 / Avg: 4966.63 / Max: 5207Min: 4792 / Avg: 4917.97 / Max: 5260Min: 4200 / Avg: 4406.51 / Max: 5349

OpenBenchmarking.orgMegahertz, More Is BetterCockroachDB 22.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 5087 / Avg: 5176.64 / Max: 5489Min: 5035 / Avg: 5164.06 / Max: 5496Min: 400 / Avg: 4982.07 / Max: 5127Min: 4796 / Avg: 4963.67 / Max: 5165Min: 4618 / Avg: 4956.07 / Max: 5175Min: 4814 / Avg: 4935.97 / Max: 5288Min: 400 / Avg: 4923.42 / Max: 5323Min: 4117 / Avg: 4420.81 / Max: 5208

OpenBenchmarking.orgMegahertz, More Is BetterCockroachDB 22.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 5108 / Avg: 5165.15 / Max: 5484Min: 5069 / Avg: 5153.97 / Max: 5497Min: 4938 / Avg: 5057.05 / Max: 5125Min: 4660 / Avg: 4966.32 / Max: 5254Min: 4698 / Avg: 4964.25 / Max: 5190Min: 4788 / Avg: 4924.78 / Max: 5245Min: 400 / Avg: 4831.44 / Max: 5144Min: 3816 / Avg: 4392.35 / Max: 5200

Memcached

OpenBenchmarking.orgMegahertz, More Is BetterMemcached 1.6.19CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PXeon E-248810002000300040005000Min: 5100 / Avg: 5152.62 / Max: 5333Min: 5033 / Avg: 5111.97 / Max: 5493Min: 4871 / Avg: 4954.61 / Max: 5402Min: 4885 / Avg: 4948.63 / Max: 5190Min: 4809 / Avg: 4906.71 / Max: 5263Min: 400 / Avg: 4636.95 / Max: 5140Min: 400 / Avg: 4562.18 / Max: 5111Min: 4100 / Avg: 4293.12 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterMemcached 1.6.19CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PXeon E-248810002000300040005000Min: 5107 / Avg: 5139.11 / Max: 5316Min: 5021 / Avg: 5126.21 / Max: 5507Min: 4855 / Avg: 4939.53 / Max: 5306Min: 4880 / Avg: 4937.86 / Max: 5167Min: 4788 / Avg: 4897.34 / Max: 5253Min: 400 / Avg: 4628.5 / Max: 5184Min: 400 / Avg: 4561.87 / Max: 5065Min: 4100 / Avg: 4307.18 / Max: 5200

RocksDB

OpenBenchmarking.orgMegahertz, More Is BetterRocksDB 9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4344PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4244PEPYC 4464PXeon E-248810002000300040005000Min: 4919 / Avg: 4968.26 / Max: 5307Min: 4785 / Avg: 4830.27 / Max: 5139Min: 4754 / Avg: 4820.62 / Max: 5496Min: 4712 / Avg: 4780.2 / Max: 5190Min: 4668 / Avg: 4738.97 / Max: 5396Min: 400 / Avg: 4616.66 / Max: 4948Min: 4443 / Avg: 4515.82 / Max: 5249Min: 4129 / Avg: 4263.39 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterRocksDB 9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4244PEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 5029 / Avg: 5082.18 / Max: 5328Min: 4956 / Avg: 5053.66 / Max: 5493Min: 4768 / Avg: 4879.71 / Max: 5190Min: 4790 / Avg: 4855.53 / Max: 5032Min: 400 / Avg: 4798.51 / Max: 4995Min: 4658 / Avg: 4784.24 / Max: 5440Min: 400 / Avg: 4751.37 / Max: 5139Min: 3911 / Avg: 4095.29 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterRocksDB 9.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4244PXeon E-248810002000300040005000Min: 5028 / Avg: 5097.11 / Max: 5338Min: 5014 / Avg: 5072.74 / Max: 5540Min: 4841 / Avg: 4904.5 / Max: 5140Min: 4794 / Avg: 4869.86 / Max: 5165Min: 4786 / Avg: 4864.23 / Max: 5303Min: 4671 / Avg: 4819.16 / Max: 5248Min: 400 / Avg: 4805.49 / Max: 5114Min: 3910 / Avg: 4082.53 / Max: 5247

Speedb

OpenBenchmarking.orgMegahertz, More Is BetterSpeedb 2.7CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4244PEPYC 4584PXEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 4933 / Avg: 4966.44 / Max: 5294Min: 4737 / Avg: 4824.32 / Max: 5503Min: 4675 / Avg: 4750.03 / Max: 5190Min: 400 / Avg: 4745.06 / Max: 5140Min: 4652 / Avg: 4704.44 / Max: 5152Min: 4447 / Avg: 4547.91 / Max: 5254Min: 400 / Avg: 4413.36 / Max: 4835Min: 4047 / Avg: 4203.62 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterSpeedb 2.7CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 4993 / Avg: 5050.41 / Max: 5322Min: 4994 / Avg: 5043.82 / Max: 5494Min: 4752 / Avg: 4875.63 / Max: 5170Min: 4762 / Avg: 4851.23 / Max: 5257Min: 4646 / Avg: 4803.09 / Max: 5254Min: 400 / Avg: 4777.51 / Max: 5076Min: 400 / Avg: 4710.64 / Max: 5179Min: 3902 / Avg: 4022.63 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterSpeedb 2.7CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4244PXeon E-248810002000300040005000Min: 5028 / Avg: 5094.11 / Max: 5319Min: 5007 / Avg: 5070.69 / Max: 5493Min: 4817 / Avg: 4935.83 / Max: 5341Min: 4771 / Avg: 4872.09 / Max: 5165Min: 4728 / Avg: 4842.69 / Max: 5054Min: 4649 / Avg: 4826.26 / Max: 5252Min: 400 / Avg: 4801.06 / Max: 5049Min: 3746 / Avg: 4091.25 / Max: 5200

LAMMPS Molecular Dynamics Simulator

OpenBenchmarking.orgMegahertz, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4564PXeon E-2488EPYC 4344PEPYC 4244P9001800270036004500Min: 5072 / Avg: 5204.18 / Max: 5330Min: 4974 / Avg: 5142.55 / Max: 5213Min: 4778 / Avg: 5120.41 / Max: 5266Min: 4780 / Avg: 5071.94 / Max: 5192Min: 5007 / Avg: 5043.64 / Max: 5079Min: 2934 / Avg: 4694.18 / Max: 5415Min: 400 / Avg: 3981.15 / Max: 5326Min: 400 / Avg: 3176.6 / Max: 5137

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

m-queens

OpenBenchmarking.orgMegahertz, More Is Betterm-queens 1.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4464PXeon E-248810002000300040005000Min: 4991 / Avg: 5043.39 / Max: 5325Min: 4884 / Avg: 5000 / Max: 5491Min: 4916 / Avg: 4944.27 / Max: 4961Min: 4788 / Avg: 4820.29 / Max: 5165Min: 4735 / Avg: 4818.5 / Max: 5138Min: 400 / Avg: 4752.21 / Max: 4949Min: 4616 / Avg: 4718.88 / Max: 5245Min: 4404 / Avg: 4557.56 / Max: 5200

SPECFEM3D

OpenBenchmarking.orgMegahertz, More Is BetterSPECFEM3D 4.1.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4759 / Avg: 5055.41 / Max: 5303Min: 4909 / Avg: 5022.85 / Max: 5493Min: 400 / Avg: 4896.52 / Max: 5139Min: 400 / Avg: 4845.82 / Max: 5338Min: 4649 / Avg: 4751.77 / Max: 5165Min: 4595 / Avg: 4730.28 / Max: 5146Min: 4412 / Avg: 4658.29 / Max: 5440Min: 3201 / Avg: 4162.46 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterSPECFEM3D 4.1.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4824 / Avg: 5058.74 / Max: 5330Min: 4884 / Avg: 5047.63 / Max: 5533Min: 400 / Avg: 4962.1 / Max: 5138Min: 400 / Avg: 4839.78 / Max: 5263Min: 4664 / Avg: 4756.09 / Max: 5190Min: 4663 / Avg: 4751.18 / Max: 5148Min: 4406 / Avg: 4747.63 / Max: 5287Min: 2400 / Avg: 4201.95 / Max: 5400

OpenBenchmarking.orgMegahertz, More Is BetterSPECFEM3D 4.1.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4244PEPYC 4464PXeon E-248810002000300040005000Min: 4843 / Avg: 5012.5 / Max: 5323Min: 4821 / Avg: 4997.38 / Max: 5488Min: 4801 / Avg: 4866.53 / Max: 5143Min: 4614 / Avg: 4732.23 / Max: 5190Min: 4642 / Avg: 4719.58 / Max: 5214Min: 400 / Avg: 4705.2 / Max: 4987Min: 4516 / Avg: 4684.63 / Max: 5428Min: 2400 / Avg: 4082.37 / Max: 5400

OpenBenchmarking.orgMegahertz, More Is BetterSPECFEM3D 4.1.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4915 / Avg: 5051.35 / Max: 5338Min: 4788 / Avg: 5035.84 / Max: 5507Min: 4809 / Avg: 4897.13 / Max: 5141Min: 400 / Avg: 4784.36 / Max: 5121Min: 4624 / Avg: 4762.74 / Max: 5190Min: 4575 / Avg: 4746.85 / Max: 5193Min: 4444 / Avg: 4664.29 / Max: 5256Min: 3201 / Avg: 4149.2 / Max: 5397

OpenBenchmarking.orgMegahertz, More Is BetterSPECFEM3D 4.1.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 4871 / Avg: 5027.94 / Max: 5505Min: 4895 / Avg: 5023.27 / Max: 5314Min: 400 / Avg: 4791.92 / Max: 5126Min: 4621 / Avg: 4777.35 / Max: 5190Min: 4623 / Avg: 4748.89 / Max: 5178Min: 4514 / Avg: 4723.32 / Max: 5252Min: 400 / Avg: 4710.96 / Max: 5140Min: 3201 / Avg: 4118 / Max: 5200

ASKAP

OpenBenchmarking.orgMegahertz, More Is BetterASKAP 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4484PXXeon E-2488EPYC 4344PEPYC 4244P10002000300040005000Min: 5052 / Avg: 5291.68 / Max: 5464Min: 4983 / Avg: 5274.91 / Max: 5500Min: 4659 / Avg: 5160.76 / Max: 5268Min: 4782 / Avg: 5076.91 / Max: 5262Min: 4772 / Avg: 5034.85 / Max: 5190Min: 4480 / Avg: 5025.92 / Max: 5400Min: 400 / Avg: 4768.77 / Max: 5141Min: 400 / Avg: 4571.25 / Max: 5136

OpenBenchmarking.orgMegahertz, More Is BetterASKAP 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PXeon E-2488EPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4244P10002000300040005000Min: 5364 / Avg: 5465.31 / Max: 5541Min: 5257 / Avg: 5376.56 / Max: 5489Min: 5200 / Avg: 5278.29 / Max: 5440Min: 4730 / Avg: 5241.14 / Max: 5600Min: 5052 / Avg: 5206.75 / Max: 5440Min: 5165 / Avg: 5187.46 / Max: 5190Min: 400 / Avg: 4793.76 / Max: 5340Min: 400 / Avg: 4631.23 / Max: 5119

GROMACS

OpenBenchmarking.orgMegahertz, More Is BetterGROMACS 2024CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4464PEPYC 4244PEPYC 4584PXEPYC 4484PXXeon E-24889001800270036004500Min: 5074 / Avg: 5201.47 / Max: 5325Min: 4990 / Avg: 5110.95 / Max: 5425Min: 400 / Avg: 5017.44 / Max: 5299Min: 4594 / Avg: 4965.83 / Max: 5275Min: 400 / Avg: 4897.33 / Max: 5135Min: 4731 / Avg: 4851.4 / Max: 5216Min: 4656 / Avg: 4797.76 / Max: 5215Min: 4100 / Avg: 4313.75 / Max: 5400

NAMD

OpenBenchmarking.orgMegahertz, More Is BetterNAMD 3.0b6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4484PXEPYC 4584PXEPYC 4244PEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 4971 / Avg: 5102.06 / Max: 5496Min: 4970 / Avg: 5089.11 / Max: 5324Min: 4730 / Avg: 4970.91 / Max: 5215Min: 4642 / Avg: 4805.8 / Max: 5091Min: 400 / Avg: 4711 / Max: 5125Min: 4388 / Avg: 4704.71 / Max: 5251Min: 400 / Avg: 4609.41 / Max: 5227Min: 4000 / Avg: 4182.05 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterNAMD 3.0b6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4244PEPYC 4344PEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4543 / Avg: 5033.07 / Max: 5335Min: 4771 / Avg: 5019.09 / Max: 5489Min: 4629 / Avg: 4915.74 / Max: 5221Min: 400 / Avg: 4868.28 / Max: 5140Min: 400 / Avg: 4792.98 / Max: 5261Min: 4598 / Avg: 4769.64 / Max: 5174Min: 4245 / Avg: 4678.91 / Max: 5440Min: 802 / Avg: 4160.67 / Max: 5200

CloverLeaf

OpenBenchmarking.orgMegahertz, More Is BetterCloverLeaf 1.3CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4244PXeon E-248810002000300040005000Min: 5089 / Avg: 5313.44 / Max: 5362Min: 5254 / Avg: 5295.93 / Max: 5477Min: 5101 / Avg: 5218.65 / Max: 5440Min: 4944 / Avg: 5119.72 / Max: 5213Min: 5010 / Avg: 5089.9 / Max: 5215Min: 5003 / Avg: 5059.74 / Max: 5116Min: 4913 / Avg: 4925.73 / Max: 4947Min: 4249 / Avg: 4662.53 / Max: 5200

QuantLib

OpenBenchmarking.orgMegahertz, More Is BetterQuantLib 1.32CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4244PEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 4843 / Avg: 4942.9 / Max: 5241Min: 4683 / Avg: 4884 / Max: 5509Min: 4669 / Avg: 4793.76 / Max: 5240Min: 4546 / Avg: 4709.54 / Max: 5231Min: 400 / Avg: 4649.05 / Max: 4980Min: 4311 / Avg: 4497.21 / Max: 5251Min: 400 / Avg: 4434.65 / Max: 5240Min: 3810 / Avg: 4151.35 / Max: 5385

GPAW

OpenBenchmarking.orgMegahertz, More Is BetterGPAW 23.6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4464PEPYC 4584PXEPYC 4484PXXeon E-24889001800270036004500Min: 4874 / Avg: 5217.5 / Max: 5361Min: 4919 / Avg: 5161.48 / Max: 5389Min: 400 / Avg: 5010.34 / Max: 5296Min: 400 / Avg: 4981.17 / Max: 5137Min: 4316 / Avg: 4946.2 / Max: 5403Min: 4439 / Avg: 4812.85 / Max: 5192Min: 4470 / Avg: 4758.02 / Max: 5215Min: 801 / Avg: 4337.24 / Max: 5387

Pennant

OpenBenchmarking.orgMegahertz, More Is BetterPennant 1.0.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4464PEPYC 4244PEPYC 4584PXEPYC 4484PXXeon E-248810002000300040005000Min: 5072 / Avg: 5221.25 / Max: 5344Min: 5122 / Avg: 5212.15 / Max: 5489Min: 5068 / Avg: 5187.86 / Max: 5252Min: 4821 / Avg: 4994.69 / Max: 5262Min: 400 / Avg: 4920.28 / Max: 5126Min: 4831 / Avg: 4912.14 / Max: 5046Min: 4798 / Avg: 4885.76 / Max: 5215Min: 2734 / Avg: 4464.26 / Max: 5406

OpenBenchmarking.orgMegahertz, More Is BetterPennant 1.0.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 5162 / Avg: 5221.58 / Max: 5403Min: 5062 / Avg: 5186.25 / Max: 5508Min: 4935 / Avg: 4999.68 / Max: 5255Min: 4845 / Avg: 4935.3 / Max: 5192Min: 4833 / Avg: 4894.38 / Max: 5190Min: 400 / Avg: 4853.5 / Max: 5142Min: 400 / Avg: 4833.43 / Max: 5233Min: 4284 / Avg: 4473.77 / Max: 5205

NAS Parallel Benchmarks

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4344PXeon E-2488EPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4584PXEPYC 4244P10002000300040005000Min: 5253 / Avg: 5385.73 / Max: 5486Min: 5124 / Avg: 5276.51 / Max: 5339Min: 5000 / Avg: 5245.25 / Max: 5412Min: 5047 / Avg: 5194.92 / Max: 5531Min: 4928 / Avg: 5168.36 / Max: 5405Min: 4858 / Avg: 4960 / Max: 5190Min: 4791 / Avg: 4893.68 / Max: 5187Min: 400 / Avg: 4841.31 / Max: 5134

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-2488EPYC 4344PEPYC 4244P10002000300040005000Min: 4935 / Avg: 5254.15 / Max: 5547Min: 5070 / Avg: 5203.41 / Max: 5327Min: 4787 / Avg: 5021.38 / Max: 5190Min: 4793 / Avg: 5015.71 / Max: 5264Min: 4674 / Avg: 5001.04 / Max: 5284Min: 801 / Avg: 4735.12 / Max: 5400Min: 400 / Avg: 3725.71 / Max: 5180Min: 400 / Avg: 3528.67 / Max: 5120

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4584PXEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 4813 / Avg: 5256.98 / Max: 5483Min: 4963 / Avg: 5223.68 / Max: 5507Min: 5066 / Avg: 5174.4 / Max: 5316Min: 4744 / Avg: 4984.62 / Max: 5215Min: 4839 / Avg: 4963.32 / Max: 5236Min: 400 / Avg: 4961.09 / Max: 5138Min: 400 / Avg: 4815.93 / Max: 5319Min: 802 / Avg: 4599.11 / Max: 5413

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PXeon E-2488EPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4244P10002000300040005000Min: 5206 / Avg: 5435.21 / Max: 5486Min: 4663 / Avg: 5326.74 / Max: 5406Min: 5151 / Avg: 5231.07 / Max: 5471Min: 5058 / Avg: 5199.25 / Max: 5413Min: 4869 / Avg: 4982 / Max: 5190Min: 4825 / Avg: 4963.31 / Max: 5199Min: 400 / Avg: 4912.16 / Max: 5338Min: 400 / Avg: 4764.14 / Max: 5139

OpenBenchmarking.orgMegahertz, More Is BetterNAS Parallel Benchmarks 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PXeon E-2488EPYC 4464PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4244P10002000300040005000Min: 5257 / Avg: 5412.04 / Max: 5489Min: 4786 / Avg: 5368 / Max: 5434Min: 5097 / Avg: 5256.96 / Max: 5439Min: 5003 / Avg: 5182.62 / Max: 5499Min: 400 / Avg: 5012.6 / Max: 5339Min: 4781 / Avg: 4955.52 / Max: 5190Min: 4746 / Avg: 4871.53 / Max: 5072Min: 400 / Avg: 4826.83 / Max: 5140

Xcompact3d Incompact3d

OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4244PEPYC 4584PXEPYC 4484PXXeon E-2488EPYC 4344P10002000300040005000Min: 5018 / Avg: 5350.67 / Max: 5441Min: 5131 / Avg: 5320.46 / Max: 5517Min: 4885 / Avg: 5204.37 / Max: 5413Min: 4890 / Avg: 4989.14 / Max: 5120Min: 4799 / Avg: 4985.23 / Max: 5255Min: 4772 / Avg: 4938.14 / Max: 5216Min: 4445 / Avg: 4871.75 / Max: 5204Min: 400 / Avg: 4851.6 / Max: 5302

OpenBenchmarking.orgMegahertz, More Is BetterXcompact3d Incompact3d 2021-03-11CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4244PEPYC 4344PEPYC 4584PXEPYC 4484PXXeon E-248810002000300040005000Min: 5155 / Avg: 5342.82 / Max: 5458Min: 5046 / Avg: 5240.54 / Max: 5534Min: 4830 / Avg: 5158.98 / Max: 5400Min: 4918 / Avg: 4969.31 / Max: 5120Min: 400 / Avg: 4961.83 / Max: 5329Min: 4779 / Avg: 4948.83 / Max: 5197Min: 4723 / Avg: 4916.26 / Max: 5215Min: 2401 / Avg: 4730.88 / Max: 5405

BRL-CAD

OpenBenchmarking.orgMegahertz, More Is BetterBRL-CAD 7.38.2CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4484PXEPYC 4344PEPYC 4584PXEPYC 4464PXeon E-24889001800270036004500Min: 4886 / Avg: 4932.44 / Max: 4979Min: 4825 / Avg: 4860.74 / Max: 5138Min: 4733 / Avg: 4842.05 / Max: 5184Min: 4695 / Avg: 4750.01 / Max: 5190Min: 400 / Avg: 4719.15 / Max: 5304Min: 4616 / Avg: 4701.17 / Max: 5102Min: 4332 / Avg: 4464.97 / Max: 5082Min: 3900 / Avg: 4002.55 / Max: 5200

OpenFOAM

OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 10CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4464PEPYC 4584PXEPYC 4484PXXeon E-248810002000300040005000Min: 5030 / Avg: 5260.4 / Max: 5351Min: 4978 / Avg: 5165.33 / Max: 5522Min: 4732 / Avg: 5064.23 / Max: 5140Min: 400 / Avg: 5062.11 / Max: 5281Min: 4718 / Avg: 5020.67 / Max: 5240Min: 4720 / Avg: 4820.75 / Max: 5017Min: 4741 / Avg: 4811.46 / Max: 5190Min: 2394 / Avg: 4469.56 / Max: 4700

OpenBenchmarking.orgMegahertz, More Is BetterOpenFOAM 10CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4464PEPYC 4244PEPYC 4584PXEPYC 4484PXXeon E-248810002000300040005000Min: 4962 / Avg: 5336.42 / Max: 5485Min: 4945 / Avg: 5210.28 / Max: 5489Min: 4812 / Avg: 5173.62 / Max: 5339Min: 4640 / Avg: 5153.43 / Max: 5449Min: 400 / Avg: 5044.77 / Max: 5162Min: 4720 / Avg: 4922.58 / Max: 5140Min: 4694 / Avg: 4896.22 / Max: 5215Min: 4213 / Avg: 4653.77 / Max: 5200

OpenRadioss

OpenBenchmarking.orgMegahertz, More Is BetterOpenRadioss 2023.09.15CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4464PEPYC 4484PXEPYC 4584PXXeon E-248810002000300040005000Min: 4958 / Avg: 5156.96 / Max: 5489Min: 4941 / Avg: 5103.34 / Max: 5151Min: 4883 / Avg: 5063.57 / Max: 5504Min: 400 / Avg: 4967.62 / Max: 5224Min: 4683 / Avg: 4872.93 / Max: 5440Min: 4751 / Avg: 4836.44 / Max: 5185Min: 4679 / Avg: 4813.63 / Max: 5313Min: 4248 / Avg: 4456.36 / Max: 5297

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

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

OpenBenchmarking.orgMegahertz, More Is BetterOpenRadioss 2023.09.15CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4938 / Avg: 5082.12 / Max: 5345Min: 4823 / Avg: 4993.68 / Max: 5502Min: 400 / Avg: 4964.75 / Max: 5129Min: 400 / Avg: 4874.91 / Max: 5140Min: 4697 / Avg: 4805.69 / Max: 5215Min: 4686 / Avg: 4772.8 / Max: 5111Min: 4559 / Avg: 4747.68 / Max: 5258Min: 3042 / Avg: 4367.4 / Max: 5392

OpenBenchmarking.orgMegahertz, More Is BetterOpenRadioss 2023.09.15CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4464PEPYC 4484PXEPYC 4584PXXeon E-248810002000300040005000Min: 4971 / Avg: 5162.08 / Max: 5395Min: 4937 / Avg: 5123.42 / Max: 5184Min: 4932 / Avg: 5090.57 / Max: 5496Min: 400 / Avg: 5007.28 / Max: 5344Min: 4664 / Avg: 4882.39 / Max: 5265Min: 4758 / Avg: 4841.18 / Max: 5210Min: 4689 / Avg: 4815.08 / Max: 5235Min: 802 / Avg: 4442.41 / Max: 5490

OpenBenchmarking.orgMegahertz, More Is BetterOpenRadioss 2023.09.15CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4464PEPYC 4244PEPYC 4584PXEPYC 4484PXXeon E-248810002000300040005000Min: 4923 / Avg: 5284.61 / Max: 5489Min: 4908 / Avg: 5234.54 / Max: 5540Min: 4929 / Avg: 5158.85 / Max: 5340Min: 4698 / Avg: 5155.29 / Max: 5440Min: 400 / Avg: 5074.57 / Max: 5230Min: 4726 / Avg: 4919.48 / Max: 5216Min: 4749 / Avg: 4888.6 / Max: 5215Min: 3935 / Avg: 4533.91 / Max: 5618

Blender

OpenBenchmarking.orgMegahertz, More Is BetterBlender 4.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4464PXeon E-248810002000300040005000Min: 4989 / Avg: 5028.57 / Max: 5329Min: 4852 / Avg: 4940.81 / Max: 5479Min: 400 / Avg: 4850.31 / Max: 5140Min: 4811 / Avg: 4843.93 / Max: 5215Min: 4714 / Avg: 4770 / Max: 5145Min: 400 / Avg: 4740.6 / Max: 5140Min: 4437 / Avg: 4507.7 / Max: 5256Min: 3900 / Avg: 4020.68 / Max: 5345

OpenBenchmarking.orgMegahertz, More Is BetterBlender 4.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4344PEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4995 / Avg: 5025.12 / Max: 5335Min: 4855 / Avg: 4912.27 / Max: 5498Min: 400 / Avg: 4869.32 / Max: 5132Min: 4809 / Avg: 4845.05 / Max: 5190Min: 400 / Avg: 4793.97 / Max: 5140Min: 4731 / Avg: 4761.05 / Max: 5011Min: 4444 / Avg: 4514.94 / Max: 5253Min: 3831 / Avg: 4015.68 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterBlender 4.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4464PXeon E-24889001800270036004500Min: 4967 / Avg: 5010.22 / Max: 5290Min: 4790 / Avg: 4864.42 / Max: 5389Min: 400 / Avg: 4844.13 / Max: 4940Min: 4772 / Avg: 4802.42 / Max: 5165Min: 4697 / Avg: 4751.34 / Max: 5175Min: 400 / Avg: 4734.48 / Max: 5213Min: 4367 / Avg: 4459.47 / Max: 5253Min: 3824 / Avg: 3974.64 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterBlender 4.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4484PXEPYC 4344PEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4960 / Avg: 5004.04 / Max: 5323Min: 4859 / Avg: 4892.43 / Max: 5140Min: 4790 / Avg: 4845.52 / Max: 5468Min: 4788 / Avg: 4819.78 / Max: 5165Min: 400 / Avg: 4737.01 / Max: 5140Min: 4686 / Avg: 4734.33 / Max: 5142Min: 4378 / Avg: 4438.98 / Max: 5260Min: 3909 / Avg: 3963.88 / Max: 5600

OpenBenchmarking.orgMegahertz, More Is BetterBlender 4.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4954 / Avg: 5039.66 / Max: 5330Min: 4865 / Avg: 4942.17 / Max: 5100Min: 4851 / Avg: 4918.24 / Max: 5497Min: 4772 / Avg: 4846.94 / Max: 5141Min: 4652 / Avg: 4845.91 / Max: 5215Min: 4723 / Avg: 4761.53 / Max: 5204Min: 4459 / Avg: 4539.29 / Max: 5442Min: 3900 / Avg: 4035.89 / Max: 5326

OpenBenchmarking.orgMegahertz, More Is BetterBlender 4.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4344PEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 5044 / Avg: 5089.1 / Max: 5336Min: 4954 / Avg: 5021.46 / Max: 5498Min: 400 / Avg: 4906.53 / Max: 5140Min: 4864 / Avg: 4903.04 / Max: 5185Min: 400 / Avg: 4846.88 / Max: 5205Min: 4781 / Avg: 4831.12 / Max: 5190Min: 4553 / Avg: 4634.63 / Max: 5276Min: 4000 / Avg: 4112.96 / Max: 5398

Chaos Group V-RAY

OpenBenchmarking.orgMegahertz, More Is BetterChaos Group V-RAY 6.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4344PEPYC 4244PEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 5075 / Avg: 5154.03 / Max: 5489Min: 4953 / Avg: 5102.68 / Max: 5508Min: 4870 / Avg: 4977.76 / Max: 5215Min: 4362 / Avg: 4964.29 / Max: 5340Min: 400 / Avg: 4897.13 / Max: 5140Min: 4766 / Avg: 4886.66 / Max: 5215Min: 4561 / Avg: 4764.15 / Max: 5446Min: 3623 / Avg: 4341.05 / Max: 5400

Appleseed

OpenBenchmarking.orgMegahertz, More Is BetterAppleseed 2.0 BetaCPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-24889001800270036004500Min: 5005 / Avg: 5085.03 / Max: 5464Min: 4881 / Avg: 5018.29 / Max: 5431Min: 400 / Avg: 4928.01 / Max: 5140Min: 4830 / Avg: 4897.8 / Max: 5210Min: 4689 / Avg: 4877.88 / Max: 5215Min: 4740 / Avg: 4840.66 / Max: 5163Min: 4524 / Avg: 4720.38 / Max: 5440Min: 4100 / Avg: 4269.01 / Max: 5409

OpenBenchmarking.orgMegahertz, More Is BetterAppleseed 2.0 BetaCPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4464PXeon E-248810002000300040005000Min: 4979 / Avg: 5028.09 / Max: 5337Min: 4844 / Avg: 4934.19 / Max: 5494Min: 400 / Avg: 4869.6 / Max: 5140Min: 4774 / Avg: 4814.43 / Max: 5215Min: 4667 / Avg: 4758.16 / Max: 5216Min: 400 / Avg: 4756.74 / Max: 5089Min: 4458 / Avg: 4561.68 / Max: 5246Min: 802 / Avg: 3945.53 / Max: 4500

OpenBenchmarking.orgMegahertz, More Is BetterAppleseed 2.0 BetaCPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4464PXeon E-24889001800270036004500Min: 4999 / Avg: 5047.36 / Max: 5246Min: 4928 / Avg: 5036.11 / Max: 5202Min: 4906 / Avg: 4933.7 / Max: 5140Min: 4808 / Avg: 4881.17 / Max: 5111Min: 4749 / Avg: 4839.7 / Max: 4991Min: 400 / Avg: 4772.55 / Max: 5063Min: 4496 / Avg: 4684.47 / Max: 5438Min: 3000 / Avg: 4132.16 / Max: 4729

OSPRay Studio

OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4464PEPYC 4584PXXeon E-248810002000300040005000Min: 5074 / Avg: 5150.8 / Max: 5489Min: 4965 / Avg: 5083.81 / Max: 5489Min: 400 / Avg: 4916.63 / Max: 5140Min: 400 / Avg: 4846 / Max: 5340Min: 4498 / Avg: 4823.61 / Max: 5215Min: 4544 / Avg: 4788.03 / Max: 5440Min: 4452 / Avg: 4630.92 / Max: 5210Min: 3130 / Avg: 4186.35 / Max: 5400

OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4464PEPYC 4244PXeon E-248810002000300040005000Min: 5074 / Avg: 5185.04 / Max: 5489Min: 4962 / Avg: 5071.91 / Max: 5539Min: 4709 / Avg: 4838.47 / Max: 5239Min: 400 / Avg: 4837.33 / Max: 5340Min: 4453 / Avg: 4809.44 / Max: 5190Min: 4540 / Avg: 4750.89 / Max: 5443Min: 400 / Avg: 4739.3 / Max: 5140Min: 3900 / Avg: 4281.93 / Max: 5600

OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4584PXXeon E-248810002000300040005000Min: 5065 / Avg: 5146.18 / Max: 5489Min: 4966 / Avg: 5114.2 / Max: 5496Min: 4940 / Avg: 5002.85 / Max: 5140Min: 4763 / Avg: 4884.97 / Max: 5193Min: 4552 / Avg: 4768.26 / Max: 5440Min: 400 / Avg: 4750.23 / Max: 5339Min: 4423 / Avg: 4666.04 / Max: 5187Min: 802 / Avg: 4131.24 / Max: 5400

OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4584PXXeon E-248810002000300040005000Min: 5080 / Avg: 5154.43 / Max: 5483Min: 4972 / Avg: 5097.19 / Max: 5496Min: 400 / Avg: 4928.75 / Max: 5140Min: 4683 / Avg: 4878.15 / Max: 5190Min: 4590 / Avg: 4754 / Max: 5265Min: 400 / Avg: 4748.6 / Max: 5339Min: 4452 / Avg: 4650.2 / Max: 5213Min: 4000 / Avg: 4257.95 / Max: 5600

OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4464PEPYC 4584PXXeon E-248810002000300040005000Min: 5082 / Avg: 5183.36 / Max: 5489Min: 4977 / Avg: 5098.47 / Max: 5499Min: 400 / Avg: 4901.29 / Max: 5140Min: 400 / Avg: 4861.21 / Max: 5340Min: 4398 / Avg: 4807.58 / Max: 5190Min: 4583 / Avg: 4769.1 / Max: 5440Min: 4462 / Avg: 4619.63 / Max: 5142Min: 4000 / Avg: 4341.45 / Max: 5419

OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-248810002000300040005000Min: 5066 / Avg: 5155.68 / Max: 5489Min: 4985 / Avg: 5145.33 / Max: 5512Min: 4862 / Avg: 4979.02 / Max: 5340Min: 400 / Avg: 4945.36 / Max: 5140Min: 4740 / Avg: 4883.36 / Max: 5368Min: 4777 / Avg: 4867.94 / Max: 5190Min: 4588 / Avg: 4821.97 / Max: 5446Min: 3900 / Avg: 4193 / Max: 5357

OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-248810002000300040005000Min: 5076 / Avg: 5153.24 / Max: 5489Min: 4960 / Avg: 5085.89 / Max: 5493Min: 4940 / Avg: 5030.02 / Max: 5140Min: 400 / Avg: 4884.07 / Max: 5340Min: 4456 / Avg: 4760 / Max: 5240Min: 4564 / Avg: 4752.64 / Max: 5440Min: 4508 / Avg: 4726.19 / Max: 5215Min: 3931 / Avg: 4227.67 / Max: 5418

OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4584PXXeon E-248810002000300040005000Min: 5087 / Avg: 5198.56 / Max: 5489Min: 4969 / Avg: 5056.83 / Max: 5492Min: 400 / Avg: 4901.19 / Max: 5140Min: 4488 / Avg: 4836.75 / Max: 5215Min: 4583 / Avg: 4834.79 / Max: 5314Min: 400 / Avg: 4709.28 / Max: 5340Min: 4439 / Avg: 4635.02 / Max: 5170Min: 3961 / Avg: 4327.77 / Max: 5400

OpenBenchmarking.orgMegahertz, More Is BetterOSPRay Studio 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4464PEPYC 4484PXEPYC 4584PXXeon E-248810002000300040005000Min: 5044 / Avg: 5133.04 / Max: 5489Min: 4975 / Avg: 5091.9 / Max: 5527Min: 4942 / Avg: 5020.29 / Max: 5140Min: 4867 / Avg: 4962.63 / Max: 5345Min: 4568 / Avg: 4775.65 / Max: 5446Min: 4508 / Avg: 4718.59 / Max: 5215Min: 4482 / Avg: 4655.87 / Max: 5129Min: 3900 / Avg: 4185.04 / Max: 5400

7-Zip Compression

OpenBenchmarking.orgMegahertz, More Is Better7-Zip Compression 22.01CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-2488EPYC 4244PEPYC 4344P10002000300040005000Min: 5106 / Avg: 5190 / Max: 5489Min: 4976 / Avg: 5185.14 / Max: 5499Min: 4830 / Avg: 4940.06 / Max: 5215Min: 4775 / Avg: 4878.53 / Max: 5215Min: 4679 / Avg: 4870 / Max: 5258Min: 4207 / Avg: 4713.59 / Max: 5418Min: 400 / Avg: 4648.83 / Max: 5140Min: 400 / Avg: 4647.83 / Max: 5336

Parallel BZIP2 Compression

OpenBenchmarking.orgMegahertz, More Is BetterParallel BZIP2 Compression 1.1.13CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4244PXeon E-248810002000300040005000Min: 5025 / Avg: 5314.54 / Max: 5543Min: 5052 / Avg: 5208.14 / Max: 5335Min: 4684 / Avg: 5079.38 / Max: 5387Min: 4746 / Avg: 5038.85 / Max: 5215Min: 4629 / Avg: 4988.1 / Max: 5247Min: 400 / Avg: 4686 / Max: 5205Min: 400 / Avg: 4652.64 / Max: 5134Min: 2400 / Avg: 4572.8 / Max: 5632

PyBench

OpenBenchmarking.orgMegahertz, More Is BetterPyBench 2018-02-16CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4464PEPYC 4364PXeon E-2488EPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4244P10002000300040005000Min: 5150 / Avg: 5370.75 / Max: 5499Min: 5239 / Avg: 5342.77 / Max: 5440Min: 5262 / Avg: 5315.45 / Max: 5409Min: 3606 / Avg: 5131 / Max: 5600Min: 4855 / Avg: 5094.62 / Max: 5240Min: 4846 / Avg: 5065.06 / Max: 5414Min: 400 / Avg: 4537.23 / Max: 5340Min: 400 / Avg: 4030.69 / Max: 5140

Numpy Benchmark

OpenBenchmarking.orgMegahertz, More Is BetterNumpy BenchmarkCPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4464PEPYC 4364PEPYC 4564PXeon E-2488EPYC 4344PEPYC 4484PXEPYC 4244PEPYC 4584PX10002000300040005000Min: 5190 / Avg: 5434.57 / Max: 5461Min: 5314 / Avg: 5422.52 / Max: 5489Min: 5283 / Avg: 5377.36 / Max: 5595Min: 4630 / Avg: 5352.37 / Max: 5577Min: 400 / Avg: 5245.8 / Max: 5340Min: 5185 / Avg: 5212.13 / Max: 5265Min: 400 / Avg: 5052.45 / Max: 5140Min: 4836 / Avg: 5010.6 / Max: 5408

libavif avifenc

OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4244PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 4822 / Avg: 5106.55 / Max: 5491Min: 4945 / Avg: 5089.82 / Max: 5489Min: 4837 / Avg: 4931.81 / Max: 5140Min: 4664 / Avg: 4931.19 / Max: 5418Min: 4716 / Avg: 4875.04 / Max: 5240Min: 4397 / Avg: 4812.8 / Max: 5446Min: 400 / Avg: 4782.1 / Max: 5340Min: 3201 / Avg: 4277.18 / Max: 5608

OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PXeon E-248810002000300040005000Min: 4860 / Avg: 5135.71 / Max: 5533Min: 4949 / Avg: 5104.67 / Max: 5489Min: 4641 / Avg: 4992.96 / Max: 5391Min: 4727 / Avg: 4886.62 / Max: 5240Min: 4421 / Avg: 4853.52 / Max: 5440Min: 400 / Avg: 4820.23 / Max: 5339Min: 400 / Avg: 4710.54 / Max: 5141Min: 3201 / Avg: 4476.58 / Max: 5400

OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4244P10002000300040005000Min: 4931 / Avg: 5320 / Max: 5538Min: 4984 / Avg: 5215.67 / Max: 5489Min: 4745 / Avg: 5113.77 / Max: 5412Min: 4435 / Avg: 5069.4 / Max: 5440Min: 4784 / Avg: 5059.25 / Max: 5240Min: 400 / Avg: 4583.18 / Max: 5340Min: 3201 / Avg: 4315.26 / Max: 5600Min: 400 / Avg: 3896.77 / Max: 5140

OpenBenchmarking.orgMegahertz, More Is Betterlibavif avifenc 1.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PXeon E-2488EPYC 4244P10002000300040005000Min: 5003 / Avg: 5316.18 / Max: 5529Min: 4988 / Avg: 5208 / Max: 5489Min: 4767 / Avg: 5125.67 / Max: 5408Min: 4788 / Avg: 5042.31 / Max: 5240Min: 4467 / Avg: 4971.77 / Max: 5267Min: 400 / Avg: 4404.47 / Max: 5339Min: 1925 / Avg: 4252.7 / Max: 5600Min: 400 / Avg: 3833.25 / Max: 5140

ASTC Encoder

OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 4.7CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PXeon E-248810002000300040005000Min: 4926 / Avg: 5158.42 / Max: 5515Min: 4987 / Avg: 5107.07 / Max: 5388Min: 4718 / Avg: 4919.92 / Max: 5390Min: 4689 / Avg: 4873.91 / Max: 5215Min: 4440 / Avg: 4724.36 / Max: 5440Min: 400 / Avg: 4585.43 / Max: 5333Min: 400 / Avg: 4449.26 / Max: 5140Min: 3201 / Avg: 4180.89 / Max: 5400

OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 4.7CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4244PEPYC 4484PXEPYC 4464PEPYC 4344PXeon E-248810002000300040005000Min: 4921 / Avg: 5220 / Max: 5534Min: 4988 / Avg: 5109.6 / Max: 5336Min: 4688 / Avg: 4990.15 / Max: 5392Min: 4879 / Avg: 4939.08 / Max: 5140Min: 4747 / Avg: 4927.62 / Max: 5240Min: 4456 / Avg: 4769 / Max: 5261Min: 400 / Avg: 4566.43 / Max: 5339Min: 3201 / Avg: 4247.27 / Max: 5400

OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 4.7CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4244PEPYC 4464PXeon E-248810002000300040005000Min: 4962 / Avg: 5063.21 / Max: 5366Min: 4838 / Avg: 5000.05 / Max: 5497Min: 4699 / Avg: 4794.22 / Max: 5215Min: 4691 / Avg: 4781.94 / Max: 5338Min: 400 / Avg: 4700.18 / Max: 5339Min: 400 / Avg: 4666.29 / Max: 5141Min: 4455 / Avg: 4579.36 / Max: 5268Min: 985 / Avg: 4033.33 / Max: 5600

OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 4.7CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4968 / Avg: 5003.95 / Max: 5336Min: 4816 / Avg: 4903.62 / Max: 5503Min: 4851 / Avg: 4891.13 / Max: 5140Min: 400 / Avg: 4782.21 / Max: 5340Min: 4732 / Avg: 4762.3 / Max: 5215Min: 4692 / Avg: 4734.98 / Max: 5406Min: 4434 / Avg: 4503.01 / Max: 5249Min: 3201 / Avg: 4097.52 / Max: 5600

OpenBenchmarking.orgMegahertz, More Is BetterASTC Encoder 4.7CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4963 / Avg: 4995.45 / Max: 5323Min: 4812 / Avg: 4888.18 / Max: 5506Min: 400 / Avg: 4851.02 / Max: 5140Min: 400 / Avg: 4786.19 / Max: 5339Min: 4722 / Avg: 4766.19 / Max: 5215Min: 4678 / Avg: 4744.71 / Max: 5387Min: 4442 / Avg: 4515.71 / Max: 5251Min: 3201 / Avg: 4109.58 / Max: 5400

Google Draco

OpenBenchmarking.orgMegahertz, More Is BetterGoogle Draco 1.5.6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4344PEPYC 4484PXEPYC 4584PXXeon E-2488EPYC 4244P10002000300040005000Min: 5340 / Avg: 5457.36 / Max: 5539Min: 5294 / Avg: 5405.62 / Max: 5489Min: 5227 / Avg: 5322.15 / Max: 5440Min: 5136 / Avg: 5251.87 / Max: 5340Min: 5180 / Avg: 5201 / Max: 5215Min: 4966 / Avg: 5187.08 / Max: 5382Min: 4084 / Avg: 5078.46 / Max: 5619Min: 400 / Avg: 4618 / Max: 5140

JPEG-XL libjxl

OpenBenchmarking.orgMegahertz, More Is BetterJPEG-XL libjxl 0.10.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4344PEPYC 4584PXEPYC 4484PXEPYC 4244PEPYC 4464PXeon E-248810002000300040005000Min: 4855 / Avg: 5155.81 / Max: 5503Min: 4945 / Avg: 5154.14 / Max: 5488Min: 4560 / Avg: 5147.73 / Max: 5339Min: 4650 / Avg: 4840.1 / Max: 5386Min: 4652 / Avg: 4813.4 / Max: 5215Min: 400 / Avg: 4775.3 / Max: 5142Min: 4200 / Avg: 4603.94 / Max: 5368Min: 3800 / Avg: 4432.48 / Max: 5298

OpenBenchmarking.orgMegahertz, More Is BetterJPEG-XL libjxl 0.10.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 4983 / Avg: 5069.78 / Max: 5338Min: 4826 / Avg: 5059.1 / Max: 5495Min: 4610 / Avg: 4863.8 / Max: 5215Min: 4622 / Avg: 4846.64 / Max: 5376Min: 4562 / Avg: 4763.44 / Max: 5251Min: 400 / Avg: 4720.82 / Max: 5013Min: 400 / Avg: 4667.69 / Max: 5215Min: 2400 / Avg: 4318.5 / Max: 5358

OpenBenchmarking.orgMegahertz, More Is BetterJPEG-XL libjxl 0.10.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PXeon E-248810002000300040005000Min: 4791 / Avg: 5171.25 / Max: 5502Min: 4947 / Avg: 5130.2 / Max: 5484Min: 4660 / Avg: 4847.06 / Max: 5261Min: 4617 / Avg: 4788.16 / Max: 5215Min: 4222 / Avg: 4706.18 / Max: 5371Min: 400 / Avg: 4596.26 / Max: 5338Min: 400 / Avg: 4593.84 / Max: 5140Min: 3769 / Avg: 4489.71 / Max: 5210

OpenBenchmarking.orgMegahertz, More Is BetterJPEG-XL libjxl 0.10.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 4952 / Avg: 5177.58 / Max: 5503Min: 4906 / Avg: 5029.68 / Max: 5262Min: 4525 / Avg: 4902.63 / Max: 5440Min: 4594 / Avg: 4877.92 / Max: 5290Min: 4577 / Avg: 4868.21 / Max: 5240Min: 400 / Avg: 4752.71 / Max: 5139Min: 400 / Avg: 4722.94 / Max: 5217Min: 3300 / Avg: 4374.15 / Max: 5200

Liquid-DSP

OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4584PXXeon E-2488EPYC 4344PEPYC 4244P10002000300040005000Min: 5323 / Avg: 5470.72 / Max: 5489Min: 5387 / Avg: 5435.19 / Max: 5499Min: 5251 / Avg: 5420.24 / Max: 5456Min: 5206 / Avg: 5217.63 / Max: 5240Min: 5027 / Avg: 5166.58 / Max: 5411Min: 801 / Avg: 5154.57 / Max: 5638Min: 400 / Avg: 4859.38 / Max: 5340Min: 400 / Avg: 4665.6 / Max: 5140

OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4584PXEPYC 4464PXeon E-2488EPYC 4484PXEPYC 4244PEPYC 4344P10002000300040005000Min: 5247 / Avg: 5447.56 / Max: 5494Min: 5292 / Avg: 5435.66 / Max: 5540Min: 5074 / Avg: 5352.08 / Max: 5435Min: 5155 / Avg: 5254.82 / Max: 5440Min: 3984 / Avg: 5247.43 / Max: 5400Min: 5185 / Avg: 5213.41 / Max: 5240Min: 400 / Avg: 4814.24 / Max: 5140Min: 400 / Avg: 4779.28 / Max: 5340

OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4584PXEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 5174 / Avg: 5224.05 / Max: 5491Min: 5048 / Avg: 5117.11 / Max: 5395Min: 5053 / Avg: 5105.58 / Max: 5324Min: 4960 / Avg: 5020.1 / Max: 5268Min: 4937 / Avg: 4989.06 / Max: 5215Min: 4941 / Avg: 4978.59 / Max: 5038Min: 400 / Avg: 4706.11 / Max: 5138Min: 3620 / Avg: 4201.39 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterLiquid-DSP 1.6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4584PXEPYC 4364PEPYC 4484PXEPYC 4344PEPYC 4464PEPYC 4244PXeon E-248810002000300040005000Min: 5102 / Avg: 5164.12 / Max: 5542Min: 5011 / Avg: 5079.06 / Max: 5493Min: 5014 / Avg: 5063.41 / Max: 5320Min: 4899 / Avg: 4959.47 / Max: 5215Min: 4861 / Avg: 4893.53 / Max: 5139Min: 4790 / Avg: 4888.53 / Max: 5255Min: 400 / Avg: 4686.58 / Max: 4950Min: 3940 / Avg: 4153.63 / Max: 5100

OpenVINO

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4344PEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4898 / Avg: 5070.41 / Max: 5324Min: 4595 / Avg: 4878.72 / Max: 5490Min: 400 / Avg: 4786.53 / Max: 5140Min: 4612 / Avg: 4741.54 / Max: 5448Min: 400 / Avg: 4728.35 / Max: 5337Min: 4532 / Avg: 4659.86 / Max: 5348Min: 4333 / Avg: 4483.06 / Max: 5236Min: 4000 / Avg: 4140.15 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-248810002000300040005000Min: 4839 / Avg: 5071.87 / Max: 5329Min: 4765 / Avg: 4886.25 / Max: 5489Min: 4803 / Avg: 4876 / Max: 5340Min: 400 / Avg: 4798.61 / Max: 5140Min: 4564 / Avg: 4679.89 / Max: 5388Min: 400 / Avg: 4642.83 / Max: 5439Min: 4434 / Avg: 4577.41 / Max: 5272Min: 3846 / Avg: 4018.21 / Max: 5512

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4988 / Avg: 5059.31 / Max: 5286Min: 4756 / Avg: 4922.34 / Max: 5479Min: 400 / Avg: 4786.26 / Max: 4975Min: 400 / Avg: 4736.51 / Max: 5141Min: 4618 / Avg: 4660.03 / Max: 5438Min: 4547 / Avg: 4615.5 / Max: 5303Min: 4350 / Avg: 4578.29 / Max: 5256Min: 4037 / Avg: 4251.38 / Max: 5210

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4464PEPYC 4584PXEPYC 4344PEPYC 4484PXXeon E-248810002000300040005000Min: 5018 / Avg: 5080.88 / Max: 5329Min: 4835 / Avg: 4959.53 / Max: 5499Min: 400 / Avg: 4911.77 / Max: 5129Min: 4409 / Avg: 4657.06 / Max: 5248Min: 4559 / Avg: 4631 / Max: 5228Min: 400 / Avg: 4605 / Max: 5147Min: 400 / Avg: 4522.32 / Max: 5326Min: 3873 / Avg: 4218.28 / Max: 5210

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4244PEPYC 4344PEPYC 4484PXXeon E-24889001800270036004500Min: 4987 / Avg: 5116.21 / Max: 5257Min: 4826 / Avg: 5076.69 / Max: 5463Min: 4311 / Avg: 4749.69 / Max: 5273Min: 4559 / Avg: 4713.5 / Max: 5290Min: 400 / Avg: 4664.46 / Max: 4939Min: 400 / Avg: 4579.97 / Max: 5136Min: 400 / Avg: 4285.4 / Max: 4690Min: 3900 / Avg: 4177.56 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4464PEPYC 4584PXEPYC 4244PEPYC 4484PXXeon E-248810002000300040005000Min: 5007 / Avg: 5139.71 / Max: 5325Min: 4907 / Avg: 5103.23 / Max: 5516Min: 400 / Avg: 4844.22 / Max: 5154Min: 4353 / Avg: 4802.35 / Max: 5273Min: 4593 / Avg: 4729.42 / Max: 5458Min: 400 / Avg: 4674 / Max: 5015Min: 400 / Avg: 4434.81 / Max: 5440Min: 3893 / Avg: 4176.08 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-24889001800270036004500Min: 4983 / Avg: 5032.18 / Max: 5335Min: 4790 / Avg: 4857.61 / Max: 5290Min: 4775 / Avg: 4841.89 / Max: 5140Min: 400 / Avg: 4781.61 / Max: 4943Min: 4561 / Avg: 4626.51 / Max: 5163Min: 4416 / Avg: 4516.56 / Max: 5256Min: 400 / Avg: 4445.37 / Max: 5439Min: 3800 / Avg: 3994.31 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4484PXEPYC 4344PEPYC 4584PXEPYC 4244PEPYC 4464PXeon E-248810002000300040005000Min: 4949 / Avg: 5014 / Max: 5340Min: 4716 / Avg: 4818.06 / Max: 5472Min: 4649 / Avg: 4702.26 / Max: 5438Min: 400 / Avg: 4684.42 / Max: 5323Min: 4582 / Avg: 4655.57 / Max: 5400Min: 400 / Avg: 4627.18 / Max: 4930Min: 4353 / Avg: 4454.26 / Max: 5257Min: 3872 / Avg: 4013.94 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-248810002000300040005000Min: 4989 / Avg: 5035.47 / Max: 5325Min: 4758 / Avg: 4858.75 / Max: 5488Min: 400 / Avg: 4692.21 / Max: 5151Min: 400 / Avg: 4634.38 / Max: 4938Min: 4472 / Avg: 4529.29 / Max: 5179Min: 4374 / Avg: 4498.58 / Max: 5251Min: 400 / Avg: 4375.71 / Max: 5434Min: 3800 / Avg: 3993.84 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-248810002000300040005000Min: 5000 / Avg: 5083.33 / Max: 5328Min: 4996 / Avg: 5075.2 / Max: 5504Min: 4877 / Avg: 4915 / Max: 4952Min: 400 / Avg: 4776.31 / Max: 5167Min: 4427 / Avg: 4524.56 / Max: 5144Min: 4276 / Avg: 4491.54 / Max: 5269Min: 400 / Avg: 4471.75 / Max: 5440Min: 3900 / Avg: 4094.22 / Max: 5204

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4944 / Avg: 5025.58 / Max: 5316Min: 4754 / Avg: 4867.39 / Max: 5491Min: 4690 / Avg: 4843.49 / Max: 5141Min: 400 / Avg: 4663.33 / Max: 5056Min: 4563 / Avg: 4636.31 / Max: 5440Min: 4498 / Avg: 4553 / Max: 5153Min: 4303 / Avg: 4538.94 / Max: 5266Min: 3900 / Avg: 4084.39 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4584PXEPYC 4244PEPYC 4464PEPYC 4484PXXeon E-248810002000300040005000Min: 4978 / Avg: 5056.24 / Max: 5384Min: 4797 / Avg: 5005.46 / Max: 5504Min: 400 / Avg: 4752.06 / Max: 5114Min: 4601 / Avg: 4698.63 / Max: 5278Min: 400 / Avg: 4664.89 / Max: 5140Min: 4300 / Avg: 4543.59 / Max: 5256Min: 400 / Avg: 4334.71 / Max: 4751Min: 3800 / Avg: 3950.09 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-24889001800270036004500Min: 4945 / Avg: 5016.5 / Max: 5329Min: 4674 / Avg: 4820.55 / Max: 5464Min: 400 / Avg: 4753.66 / Max: 4934Min: 400 / Avg: 4550.31 / Max: 4950Min: 4441 / Avg: 4521.41 / Max: 5061Min: 4301 / Avg: 4505.31 / Max: 5440Min: 400 / Avg: 4367.94 / Max: 4644Min: 3824 / Avg: 3950 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-24889001800270036004500Min: 4946 / Avg: 5007.44 / Max: 5275Min: 4836 / Avg: 4911.18 / Max: 5140Min: 4746 / Avg: 4846.76 / Max: 5468Min: 400 / Avg: 4700.22 / Max: 5078Min: 4507 / Avg: 4552.48 / Max: 5343Min: 4373 / Avg: 4548.03 / Max: 5254Min: 400 / Avg: 4447.23 / Max: 4595Min: 3899 / Avg: 3991.94 / Max: 4665

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-248810002000300040005000Min: 4912 / Avg: 4998.89 / Max: 5333Min: 4726 / Avg: 4887.24 / Max: 4992Min: 4746 / Avg: 4849.54 / Max: 5482Min: 400 / Avg: 4671.71 / Max: 5129Min: 4491 / Avg: 4548.5 / Max: 5204Min: 4257 / Avg: 4399.94 / Max: 5259Min: 400 / Avg: 4311.38 / Max: 4858Min: 3900 / Avg: 4054.85 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4464PXeon E-248810002000300040005000Min: 4905 / Avg: 4991.18 / Max: 5323Min: 4677 / Avg: 4777.97 / Max: 5396Min: 400 / Avg: 4733.73 / Max: 4996Min: 4520 / Avg: 4622.11 / Max: 5495Min: 4496 / Avg: 4554.27 / Max: 5209Min: 400 / Avg: 4533.23 / Max: 4831Min: 4260 / Avg: 4397.03 / Max: 5258Min: 3854 / Avg: 3993.18 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-248810002000300040005000Min: 4747 / Avg: 5044.33 / Max: 5317Min: 4809 / Avg: 5024.91 / Max: 5480Min: 4789 / Avg: 4935.69 / Max: 5140Min: 400 / Avg: 4842.21 / Max: 5152Min: 4423 / Avg: 4563.29 / Max: 5259Min: 4303 / Avg: 4526.8 / Max: 5261Min: 400 / Avg: 4450.54 / Max: 5441Min: 4000 / Avg: 4286.59 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4464PEPYC 4584PXEPYC 4484PXXeon E-248810002000300040005000Min: 4846 / Avg: 5047.09 / Max: 5256Min: 4898 / Avg: 4992.77 / Max: 5495Min: 400 / Avg: 4843.03 / Max: 5120Min: 400 / Avg: 4707.41 / Max: 5321Min: 4517 / Avg: 4669.81 / Max: 5257Min: 4522 / Avg: 4607.32 / Max: 5139Min: 400 / Avg: 4512.32 / Max: 4926Min: 3845 / Avg: 4037.13 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4484PXXeon E-248810002000300040005000Min: 4980 / Avg: 5020.14 / Max: 5286Min: 4737 / Avg: 4821.2 / Max: 5486Min: 400 / Avg: 4765.67 / Max: 4940Min: 4500 / Avg: 4600.31 / Max: 5475Min: 4404 / Avg: 4541.34 / Max: 5250Min: 400 / Avg: 4539.88 / Max: 4917Min: 400 / Avg: 4402.33 / Max: 5441Min: 3900 / Avg: 4009.55 / Max: 5200

OpenBenchmarking.orgMegahertz, More Is BetterOpenVINO 2024.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-248810002000300040005000Min: 4994 / Avg: 5065.29 / Max: 5259Min: 4971 / Avg: 5036.49 / Max: 5482Min: 4779 / Avg: 4892.82 / Max: 5139Min: 400 / Avg: 4841.12 / Max: 5118Min: 4465 / Avg: 4565.94 / Max: 5432Min: 4299 / Avg: 4560.74 / Max: 5254Min: 400 / Avg: 4436.14 / Max: 5102Min: 3800 / Avg: 3927.82 / Max: 5159

oneDNN

OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXXeon E-2488EPYC 4344PEPYC 4244PEPYC 4484PX10002000300040005000Min: 5186 / Avg: 5288.67 / Max: 5464Min: 5042 / Avg: 5265.27 / Max: 5501Min: 4694 / Avg: 5094.85 / Max: 5257Min: 4761 / Avg: 5026.36 / Max: 5436Min: 3909 / Avg: 4959 / Max: 5226Min: 400 / Avg: 4792.07 / Max: 5142Min: 400 / Avg: 4232 / Max: 4942Min: 400 / Avg: 4162.55 / Max: 5441

OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4244PEPYC 4344PXeon E-248810002000300040005000Min: 5000 / Avg: 5178.33 / Max: 5508Min: 5052 / Avg: 5147.8 / Max: 5463Min: 4638 / Avg: 4986.33 / Max: 5440Min: 4523 / Avg: 4876.69 / Max: 5383Min: 4690 / Avg: 4865.2 / Max: 5408Min: 400 / Avg: 4210 / Max: 5125Min: 400 / Avg: 4175.42 / Max: 5234Min: 801 / Avg: 4017.92 / Max: 5189

OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXXeon E-2488EPYC 4244PEPYC 4344PEPYC 4484PX10002000300040005000Min: 5055 / Avg: 5249.64 / Max: 5511Min: 5089 / Avg: 5238.8 / Max: 5336Min: 4793 / Avg: 5131.18 / Max: 5261Min: 4739 / Avg: 5052.73 / Max: 5417Min: 3201 / Avg: 4589.67 / Max: 5200Min: 400 / Avg: 4230.54 / Max: 4942Min: 400 / Avg: 3838.17 / Max: 5141Min: 400 / Avg: 2779.27 / Max: 4775

OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXEPYC 4344PXeon E-2488EPYC 4244PEPYC 4484PX10002000300040005000Min: 5030 / Avg: 5193.53 / Max: 5497Min: 5081 / Avg: 5164.13 / Max: 5469Min: 4652 / Avg: 4991.64 / Max: 5248Min: 4677 / Avg: 4816.07 / Max: 5290Min: 400 / Avg: 4629.79 / Max: 5117Min: 4100 / Avg: 4529.62 / Max: 5200Min: 400 / Avg: 4229.15 / Max: 4981Min: 400 / Avg: 4205.5 / Max: 5439

OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXXeon E-2488EPYC 4344PEPYC 4484PXEPYC 4244P10002000300040005000Min: 5086 / Avg: 5303 / Max: 5495Min: 5135 / Avg: 5254.62 / Max: 5364Min: 4845 / Avg: 5173.25 / Max: 5279Min: 4593 / Avg: 5012 / Max: 5388Min: 4402 / Avg: 4973.64 / Max: 5358Min: 400 / Avg: 4268.42 / Max: 5142Min: 400 / Avg: 4191.23 / Max: 5172Min: 400 / Avg: 4188.73 / Max: 5117

OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4464PEPYC 4584PXEPYC 4484PXXeon E-248810002000300040005000Min: 5010 / Avg: 5106.8 / Max: 5484Min: 4916 / Avg: 5029.6 / Max: 5498Min: 4749 / Avg: 4868.23 / Max: 5339Min: 400 / Avg: 4834.17 / Max: 5140Min: 4466 / Avg: 4759.39 / Max: 5440Min: 4550 / Avg: 4695.95 / Max: 5404Min: 400 / Avg: 4600.93 / Max: 5439Min: 3900 / Avg: 4120.49 / Max: 5205

OpenBenchmarking.orgMegahertz, More Is BetteroneDNN 3.4CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4244PEPYC 4344PEPYC 4584PXEPYC 4484PXXeon E-248810002000300040005000Min: 5039 / Avg: 5105.67 / Max: 5337Min: 4808 / Avg: 4982.18 / Max: 5480Min: 4475 / Avg: 4724.57 / Max: 5411Min: 400 / Avg: 4712.74 / Max: 5140Min: 400 / Avg: 4686.3 / Max: 5142Min: 4480 / Avg: 4637.38 / Max: 5351Min: 400 / Avg: 4429.52 / Max: 4682Min: 3900 / Avg: 4131.29 / Max: 5200

Z3 Theorem Prover

OpenBenchmarking.orgMegahertz, More Is BetterZ3 Theorem Prover 4.12.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PXeon E-2488EPYC 4484PXEPYC 4464PEPYC 4584PXEPYC 4344PEPYC 4244P10002000300040005000Min: 5267 / Avg: 5453.93 / Max: 5489Min: 5265 / Avg: 5431.85 / Max: 5520Min: 4711 / Avg: 5360.85 / Max: 5600Min: 400 / Avg: 5235.44 / Max: 5530Min: 5162 / Avg: 5220.03 / Max: 5262Min: 4889 / Avg: 4977.22 / Max: 5390Min: 400 / Avg: 4972.67 / Max: 5339Min: 400 / Avg: 4961.89 / Max: 5140

Helsing

OpenBenchmarking.orgMegahertz, More Is BetterHelsing 1.0-betaCPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXEPYC 4344PXeon E-2488EPYC 4244PEPYC 4484PX10002000300040005000Min: 4739 / Avg: 5266.31 / Max: 5498Min: 4905 / Avg: 5152.5 / Max: 5338Min: 4286 / Avg: 4816.91 / Max: 5255Min: 4555 / Avg: 4768.5 / Max: 5279Min: 400 / Avg: 4582.83 / Max: 5165Min: 801 / Avg: 4563.95 / Max: 5221Min: 400 / Avg: 4509.08 / Max: 4943Min: 400 / Avg: 3366.25 / Max: 5439

OpenBenchmarking.orgMegahertz, More Is BetterHelsing 1.0-betaCPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4344PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4837 / Avg: 4882.24 / Max: 5002Min: 400 / Avg: 4807.59 / Max: 4940Min: 400 / Avg: 4712.23 / Max: 5140Min: 4581 / Avg: 4646.78 / Max: 5485Min: 400 / Avg: 4556.18 / Max: 5374Min: 4489 / Avg: 4542.11 / Max: 5193Min: 4254 / Avg: 4300.9 / Max: 5240Min: 3933 / Avg: 4084.77 / Max: 5217

Stockfish

OpenBenchmarking.orgMegahertz, More Is BetterStockfish 16.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-248810002000300040005000Min: 4879 / Avg: 4948.81 / Max: 5319Min: 4730 / Avg: 4798 / Max: 4940Min: 4577 / Avg: 4718.58 / Max: 5471Min: 4566 / Avg: 4674.68 / Max: 5144Min: 4327 / Avg: 4522.41 / Max: 5179Min: 400 / Avg: 4401.51 / Max: 5290Min: 3947 / Avg: 4185.4 / Max: 5440Min: 3449 / Avg: 3895.05 / Max: 5200

Primesieve

OpenBenchmarking.orgMegahertz, More Is BetterPrimesieve 12.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4584PXEPYC 4464PXeon E-2488EPYC 4344PEPYC 4244PEPYC 4484PX10002000300040005000Min: 4892 / Avg: 5021.73 / Max: 5329Min: 4680 / Avg: 4961.83 / Max: 5493Min: 4440 / Avg: 4667.08 / Max: 5204Min: 4208 / Avg: 4520.73 / Max: 5254Min: 4126 / Avg: 4464.83 / Max: 5200Min: 400 / Avg: 4441.38 / Max: 5140Min: 400 / Avg: 4402.7 / Max: 4941Min: 400 / Avg: 4177 / Max: 4941

OpenBenchmarking.orgMegahertz, More Is BetterPrimesieve 12.1CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-248810002000300040005000Min: 4841 / Avg: 4900.44 / Max: 5324Min: 400 / Avg: 4773.71 / Max: 4995Min: 4590 / Avg: 4686.15 / Max: 5505Min: 400 / Avg: 4649.34 / Max: 5160Min: 4487 / Avg: 4529.69 / Max: 5440Min: 4422 / Avg: 4484.15 / Max: 5362Min: 4157 / Avg: 4265.6 / Max: 5250Min: 3983 / Avg: 4151.01 / Max: 5200

Y-Cruncher

OpenBenchmarking.orgMegahertz, More Is BetterY-Cruncher 0.8.3CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4244PXeon E-248810002000300040005000Min: 4909 / Avg: 5188.83 / Max: 5489Min: 4743 / Avg: 5180.17 / Max: 5466Min: 4106 / Avg: 4866.79 / Max: 5440Min: 4381 / Avg: 4819.55 / Max: 5203Min: 400 / Avg: 4619.08 / Max: 5339Min: 400 / Avg: 4452.86 / Max: 5539Min: 400 / Avg: 4288.6 / Max: 4942Min: 3700 / Avg: 4136.69 / Max: 5094

OpenBenchmarking.orgMegahertz, More Is BetterY-Cruncher 0.8.3CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4584PXEPYC 4244PEPYC 4484PXXeon E-248810002000300040005000Min: 4870 / Avg: 5130.06 / Max: 5421Min: 4732 / Avg: 5126.69 / Max: 5498Min: 4135 / Avg: 4917.53 / Max: 5442Min: 4634 / Avg: 4911.59 / Max: 5340Min: 4376 / Avg: 4711.38 / Max: 5195Min: 400 / Avg: 4458.29 / Max: 4941Min: 400 / Avg: 4373.85 / Max: 5440Min: 3700 / Avg: 4090.05 / Max: 5400

DaCapo Benchmark

OpenBenchmarking.orgMegahertz, More Is BetterDaCapo Benchmark 23.11CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXXeon E-2488EPYC 4484PXEPYC 4244PEPYC 4344P10002000300040005000Min: 5109 / Avg: 5345.67 / Max: 5500Min: 5081 / Avg: 5244.25 / Max: 5405Min: 4786 / Avg: 5201.7 / Max: 5440Min: 4914 / Avg: 5117.25 / Max: 5457Min: 987 / Avg: 4764.29 / Max: 5553Min: 400 / Avg: 4320.08 / Max: 5440Min: 400 / Avg: 3774.09 / Max: 5140Min: 400 / Avg: 3534.62 / Max: 5339

OpenBenchmarking.orgMegahertz, More Is BetterDaCapo Benchmark 23.11CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PEPYC 4584PXEPYC 4244PXeon E-2488EPYC 4484PXEPYC 4344P10002000300040005000Min: 5223 / Avg: 5362.4 / Max: 5484Min: 5144 / Avg: 5356.55 / Max: 5535Min: 4938 / Avg: 5254.33 / Max: 5440Min: 5069 / Avg: 5176.15 / Max: 5378Min: 400 / Avg: 4688.69 / Max: 5140Min: 3550 / Avg: 4672.5 / Max: 5215Min: 400 / Avg: 4442.43 / Max: 5204Min: 400 / Avg: 4129.36 / Max: 5336

OpenBenchmarking.orgMegahertz, More Is BetterDaCapo Benchmark 23.11CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4584PXXeon E-2488EPYC 4244PEPYC 4484PXEPYC 4344P10002000300040005000Min: 5106 / Avg: 5322.45 / Max: 5498Min: 5071 / Avg: 5236.57 / Max: 5489Min: 4769 / Avg: 5086.82 / Max: 5440Min: 4858 / Avg: 5021.08 / Max: 5273Min: 3764 / Avg: 4786.2 / Max: 5358Min: 400 / Avg: 4636.08 / Max: 5140Min: 400 / Avg: 4310.15 / Max: 5439Min: 400 / Avg: 3843.42 / Max: 5145

OpenBenchmarking.orgMegahertz, More Is BetterDaCapo Benchmark 23.11CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PXeon E-2488EPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4244P10002000300040005000Min: 5198 / Avg: 5365.13 / Max: 5511Min: 5143 / Avg: 5345.93 / Max: 5489Min: 4607 / Avg: 5229.33 / Max: 5440Min: 4804 / Avg: 5219.3 / Max: 5440Min: 4918 / Avg: 5098.38 / Max: 5298Min: 400 / Avg: 4812.21 / Max: 5589Min: 400 / Avg: 4473.62 / Max: 5339Min: 400 / Avg: 4333.5 / Max: 5140

OpenBenchmarking.orgMegahertz, More Is BetterDaCapo Benchmark 23.11CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4584PXEPYC 4464PXeon E-2488EPYC 4344PEPYC 4484PXEPYC 4244P10002000300040005000Min: 4944 / Avg: 5307.18 / Max: 5500Min: 4985 / Avg: 5179.69 / Max: 5326Min: 4707 / Avg: 5078.77 / Max: 5386Min: 4555 / Avg: 5002.55 / Max: 5264Min: 3201 / Avg: 4740.7 / Max: 5200Min: 400 / Avg: 4600.18 / Max: 5250Min: 400 / Avg: 4233.55 / Max: 5440Min: 400 / Avg: 3055.5 / Max: 5022

Renaissance

OpenBenchmarking.orgMegahertz, More Is BetterRenaissance 0.14CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4564PEPYC 4464PXeon E-2488EPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4244P10002000300040005000Min: 5184 / Avg: 5387.7 / Max: 5489Min: 5179 / Avg: 5376.5 / Max: 5503Min: 4932 / Avg: 5323.56 / Max: 5440Min: 4322 / Avg: 5275.74 / Max: 5600Min: 4910 / Avg: 5189 / Max: 5360Min: 400 / Avg: 4884.46 / Max: 5465Min: 400 / Avg: 4854.09 / Max: 5340Min: 400 / Avg: 4741.77 / Max: 5140

Java JMH

OpenBenchmarking.orgMegahertz, More Is BetterJava JMHCPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4464PXeon E-2488EPYC 4484PXEPYC 4584PX10002000300040005000Min: 5085 / Avg: 5111.31 / Max: 5367Min: 4941 / Avg: 5044.23 / Max: 5140Min: 4989 / Avg: 5030.96 / Max: 5489Min: 5006 / Avg: 5025.74 / Max: 5140Min: 4896 / Avg: 4925.75 / Max: 4947Min: 4607 / Avg: 4716.47 / Max: 5400Min: 4448 / Avg: 4545.38 / Max: 5116Min: 4334 / Avg: 4427.59 / Max: 4552

GNU Octave Benchmark

OpenBenchmarking.orgMegahertz, More Is BetterGNU Octave Benchmark 8.4.0CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4564PEPYC 4364PEPYC 4464PEPYC 4344PEPYC 4584PXXeon E-2488EPYC 4484PXEPYC 4244P10002000300040005000Min: 5192 / Avg: 5424.17 / Max: 5538Min: 5230 / Avg: 5372.55 / Max: 5489Min: 5140 / Avg: 5245.82 / Max: 5290Min: 5138 / Avg: 5234.08 / Max: 5339Min: 4822 / Avg: 5143.64 / Max: 5441Min: 4342 / Avg: 5001.92 / Max: 5400Min: 400 / Avg: 4447.46 / Max: 5540Min: 400 / Avg: 4379.07 / Max: 5140

Timed CPython Compilation

OpenBenchmarking.orgMegahertz, More Is BetterTimed CPython Compilation 3.10.6CPU Peak Freq (Highest CPU Core Frequency) MonitorEPYC 4584PXEPYC 4244P9001800270036004500Min: 4950 / Avg: 5138.71 / Max: 5396Min: 4933 / Avg: 5013 / Max: 5140

QuantLib

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PXeon E-2488EPYC 4364PEPYC 4244P150300450600750680.67664.26593.03539.00534.91424.14412.57408.00

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20K40K60K80K100KSE +/- 169.22, N = 3SE +/- 255.88, N = 3SE +/- 315.31, N = 3SE +/- 164.89, N = 3SE +/- 49.82, N = 3SE +/- 12.44, N = 3SE +/- 294.52, N = 3SE +/- 41.80, N = 383365.180769.457419.456873.243490.742668.637214.432626.81. (CXX) g++ options: -O3 -march=native -fPIE -pie

ASKAP

OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 4484PXEPYC 4584PXEPYC 4244PEPYC 4344PXeon E-2488EPYC 4564PEPYC 4464PEPYC 4364P4080120160200191.77164.83147.9299.6383.9670.9266.6064.14

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - GriddingEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4364PXeon E-248814002800420056007000SE +/- 55.23, N = 6SE +/- 41.40, N = 6SE +/- 49.58, N = 6SE +/- 19.10, N = 6SE +/- 21.74, N = 15SE +/- 25.19, N = 7SE +/- 24.04, N = 8SE +/- 25.17, N = 56603.675073.234948.434438.013122.292825.312739.342556.221. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve OpenMP - DegriddingEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4244PXeon E-2488EPYC 4364PEPYC 4344P2K4K6K8K10KSE +/- 90.51, N = 6SE +/- 71.64, N = 6SE +/- 49.85, N = 6SE +/- 42.40, N = 6SE +/- 154.63, N = 7SE +/- 41.03, N = 5SE +/- 27.18, N = 8SE +/- 18.97, N = 158830.778591.905172.444566.424370.024282.183426.033420.871. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

7-Zip Compression

OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24884008001200160020001681.331438.961343.221249.191151.261003.06881.52635.53

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P40K80K120K160K200KSE +/- 738.67, N = 3SE +/- 313.05, N = 3SE +/- 350.41, N = 3SE +/- 160.29, N = 3SE +/- 134.28, N = 3SE +/- 195.02, N = 3SE +/- 436.66, N = 3SE +/- 155.58, N = 317712517088814156513993510424810357194990829331. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248840K80K120K160K200KSE +/- 369.09, N = 3SE +/- 83.27, N = 3SE +/- 184.46, N = 3SE +/- 503.79, N = 3SE +/- 299.70, N = 3SE +/- 107.68, N = 3SE +/- 31.18, N = 3SE +/- 900.25, N = 3170373167201118507107137889458840967868615271. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1122334455SE +/- 0.37, N = 10SE +/- 0.47, N = 6SE +/- 0.46, N = 3SE +/- 0.38, N = 3SE +/- 0.30, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.13, N = 348.5947.0541.7740.0137.1835.6032.5130.191. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: JPEG - Quality: 100EPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 327.2225.9120.5319.8116.5216.2813.4812.701. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 90EPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1122334455SE +/- 0.28, N = 3SE +/- 0.24, N = 3SE +/- 0.44, N = 3SE +/- 0.30, N = 10SE +/- 0.36, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 348.5345.3840.1838.7236.0235.0831.8129.651. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

OpenBenchmarking.orgMP/s Per Watt, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 100EPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-24880.06350.1270.19050.2540.31750.2820.2530.2510.2190.2170.1680.1650.150

OpenBenchmarking.orgMP/s, More Is BetterJPEG-XL libjxl 0.10.1Input: PNG - Quality: 100EPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P714212835SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 327.7526.4120.7419.9416.6616.3613.6512.851. (CXX) g++ options: -fno-rtti -O3 -fPIE -pie -lm

ASKAP

OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 4244PEPYC 4584PXEPYC 4344PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4564PEPYC 4364P306090120150133.37115.15109.97100.0685.7864.8864.2354.57

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4244PEPYC 4364P2K4K6K8K10KSE +/- 346.60, N = 15SE +/- 321.53, N = 15SE +/- 473.28, N = 12SE +/- 187.79, N = 15SE +/- 34.30, N = 3SE +/- 58.27, N = 3SE +/- 38.09, N = 3SE +/- 192.19, N = 128364.076642.946270.826140.895179.315146.334723.733635.691. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PXeon E-2488EPYC 4244PEPYC 4344PEPYC 4364P2K4K6K8K10KSE +/- 384.12, N = 15SE +/- 175.34, N = 15SE +/- 298.02, N = 15SE +/- 528.48, N = 12SE +/- 48.43, N = 3SE +/- 0.00, N = 3SE +/- 44.18, N = 3SE +/- 180.65, N = 129760.757529.937477.197389.246199.095963.545875.194256.281. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P90180270360450SE +/- 0.54, N = 4SE +/- 0.31, N = 4SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.04, N = 3SE +/- 0.29, N = 3SE +/- 0.39, N = 3SE +/- 0.12, N = 3392.24365.32259.01258.38205.93203.10192.66147.481. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4564PXeon E-2488EPYC 4344PEPYC 4244PEPYC 4364P0.34360.68721.03081.37441.7181.5271.3111.3081.1641.1121.0820.8050.781

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4564PEPYC 4344PEPYC 4244PEPYC 4364P0.03620.07240.10860.14480.1810.1610.1570.1400.1380.1240.1180.0910.085

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 4464PEPYC 4584PXEPYC 4484PXXeon E-2488EPYC 4564PEPYC 4344PEPYC 4244PEPYC 4364P0.00470.00940.01410.01880.02350.0210.0200.0180.0160.0150.0150.0120.011

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P0.60391.20781.81172.41563.0195SE +/- 0.0093, N = 3SE +/- 0.0008, N = 3SE +/- 0.0009, N = 3SE +/- 0.0004, N = 3SE +/- 0.0116, N = 3SE +/- 0.0010, N = 3SE +/- 0.0004, N = 3SE +/- 0.0004, N = 32.68412.56361.83271.81641.46391.39791.35631.03271. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4344PXeon E-2488EPYC 4364PEPYC 4244P0.00290.00580.00870.01160.01450.0130.0120.0110.0090.0090.0090.0070.007

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: MediumEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P306090120150SE +/- 0.18, N = 5SE +/- 0.06, N = 5SE +/- 0.03, N = 4SE +/- 0.07, N = 4SE +/- 0.00, N = 3SE +/- 0.04, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 3154.72143.30101.80101.6189.1479.6076.0158.081. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P510152025SE +/- 0.0627, N = 3SE +/- 0.0075, N = 3SE +/- 0.0021, N = 3SE +/- 0.0127, N = 3SE +/- 0.3204, N = 12SE +/- 0.0128, N = 3SE +/- 0.0050, N = 3SE +/- 0.0018, N = 319.903818.617513.295313.172412.230710.20899.86747.51361. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P0.36880.73761.10641.47521.844SE +/- 0.0020, N = 3SE +/- 0.0003, N = 3SE +/- 0.0001, N = 3SE +/- 0.0003, N = 3SE +/- 0.0051, N = 3SE +/- 0.0000, N = 3SE +/- 0.0003, N = 3SE +/- 0.0004, N = 31.63911.57061.12371.11430.87410.85570.83130.63301. (CXX) g++ options: -O3 -flto -pthread

Stockfish

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 16.1Chess BenchmarkEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488EPYC 4364P70K140K210K280K350K335590.78331337.69295647.42251585.85242827.02193134.08178671.31174880.66

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P10M20M30M40M50MSE +/- 611568.23, N = 15SE +/- 574948.55, N = 15SE +/- 379095.21, N = 4SE +/- 353999.00, N = 15SE +/- 160295.89, N = 3SE +/- 191557.41, N = 3SE +/- 121681.53, N = 15SE +/- 169306.09, N = 34554256044270858334537292977218323143858218443431689829116614517-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

GROMACS

OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PXeon E-2488EPYC 4364P0.00590.01180.01770.02360.02950.0260.0250.0240.0180.0180.0170.0150.014

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P0.60351.2071.81052.4143.0175SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.008, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 32.6822.5432.2882.1231.5461.5221.4341.2531. (CXX) g++ options: -O3 -lm

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PXeon E-2488EPYC 4244PEPYC 4364P3691215SE +/- 0.059, N = 11SE +/- 0.045, N = 11SE +/- 0.126, N = 15SE +/- 0.178, N = 15SE +/- 0.035, N = 10SE +/- 0.250, N = 15SE +/- 0.004, N = 9SE +/- 0.055, N = 912.48111.7669.5259.2668.7157.2366.8386.8261. (CXX) g++ options: -O3 -lm -ldl

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 4584PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488EPYC 4484PX0.65521.31041.96562.62083.276SE +/- 0.00837, N = 3SE +/- 0.03311, N = 4SE +/- 0.00983, N = 3SE +/- 0.00212, N = 3SE +/- 0.00076, N = 3SE +/- 0.00340, N = 3SE +/- 0.00164, N = 3SE +/- 0.01721, N = 152.911832.788462.205601.737641.691201.319210.659770.65425

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: 20k AtomsEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P48121620SE +/- 0.298, N = 6SE +/- 0.297, N = 9SE +/- 0.191, N = 9SE +/- 0.108, N = 9SE +/- 0.004, N = 3SE +/- 0.174, N = 9SE +/- 0.177, N = 9SE +/- 0.014, N = 314.68013.69110.3939.5398.9518.2157.5796.8381. (CXX) g++ options: -O3 -lm -ldl

NAMD

OpenBenchmarking.orgns/day Per Watt, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4484PXEPYC 4364PXeon E-24880.00160.00320.00480.00640.0080.0070.0070.0060.0050.0050.0040.0040.002

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PEPYC 4484PXXeon E-24880.17050.3410.51150.6820.8525SE +/- 0.00443, N = 3SE +/- 0.00230, N = 3SE +/- 0.00106, N = 3SE +/- 0.00059, N = 3SE +/- 0.00019, N = 3SE +/- 0.00046, N = 3SE +/- 0.00185, N = 3SE +/- 0.00016, N = 30.757680.756460.608130.493450.485700.389560.270390.20565

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P30K60K90K120K150KSE +/- 255.51, N = 3SE +/- 369.77, N = 3SE +/- 415.80, N = 3SE +/- 83.55, N = 3SE +/- 395.91, N = 3SE +/- 60.93, N = 3SE +/- 140.30, N = 3SE +/- 110.37, N = 3151729145533115980112383104832942179334278004

RocksDB

OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 9.0Test: Read While WritingEPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24888K16K24K32K40K35702.5435607.4631953.6629689.9025076.4622319.0120634.8320535.23

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248830M60M90M120M150MSE +/- 780691.20, N = 3SE +/- 276158.53, N = 3SE +/- 74109.11, N = 3SE +/- 342211.57, N = 3SE +/- 144351.01, N = 3SE +/- 68428.53, N = 3SE +/- 45665.92, N = 3SE +/- 236765.68, N = 31306930631300067379172694289195028694082546795936051334146475122601. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read While WritingEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P900K1800K2700K3600K4500KSE +/- 23577.88, N = 3SE +/- 7045.87, N = 3SE +/- 10561.84, N = 3SE +/- 24911.17, N = 3SE +/- 22460.23, N = 3SE +/- 6544.07, N = 3SE +/- 3646.67, N = 3SE +/- 20912.63, N = 3433459342946313130934300361625195942489854194276018655211. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read Random Write RandomEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4484PXEPYC 4244P600K1200K1800K2400K3000KSE +/- 8693.67, N = 3SE +/- 24549.22, N = 3SE +/- 16096.70, N = 3SE +/- 1649.04, N = 3SE +/- 5891.62, N = 3SE +/- 17144.87, N = 3SE +/- 1307.98, N = 3SE +/- 24161.52, N = 3292956129157582278556224748121311221976533181777517817951. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P30M60M90M120M150MSE +/- 286737.26, N = 3SE +/- 806005.16, N = 3SE +/- 36870.14, N = 3SE +/- 202059.67, N = 3SE +/- 34435.41, N = 3SE +/- 63522.73, N = 3SE +/- 170759.02, N = 3SE +/- 43642.52, N = 31349716261328439929475027992006421716486836944301157824426531463721. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1.1M2.2M3.3M4.4M5.5MSE +/- 35376.76, N = 15SE +/- 26941.48, N = 3SE +/- 18321.18, N = 3SE +/- 55041.91, N = 13SE +/- 14207.26, N = 3SE +/- 24740.75, N = 15SE +/- 20209.24, N = 3SE +/- 17743.52, N = 15526262851198913783719378116631949713189650254883724002431. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write RandomEPYC 4564PEPYC 4584PXEPYC 4344PEPYC 4464PEPYC 4364PXeon E-2488EPYC 4484PXEPYC 4244P600K1200K1800K2400K3000KSE +/- 2327.92, N = 3SE +/- 1095.04, N = 3SE +/- 1251.53, N = 3SE +/- 6109.05, N = 3SE +/- 1406.43, N = 3SE +/- 4914.43, N = 3SE +/- 284.11, N = 3SE +/- 2410.81, N = 3277019527063852222556216669921387762120915184197018064101. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P30K60K90K120K150KSE +/- 765.52, N = 3SE +/- 158.53, N = 3SE +/- 58.24, N = 3SE +/- 391.29, N = 3SE +/- 237.27, N = 3SE +/- 302.28, N = 3SE +/- 276.11, N = 3SE +/- 73.92, N = 3121061.7118066.792280.790283.683987.583155.882706.263936.2

Java JMH

OpenBenchmarking.orgOps/s Per Watt, More Is BetterJava JMHThroughputEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4564PEPYC 4344PXeon E-2488EPYC 4244PEPYC 4364P200M400M600M800M1000M784736451.96714839370.14604632910.24483071276.18431800175.37380044386.58360955528.48353723007.76

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20K40K60K80K100KSE +/- 831.25, N = 3SE +/- 58.30, N = 3SE +/- 37.01, N = 3SE +/- 233.77, N = 3SE +/- 264.18, N = 3SE +/- 75.55, N = 3SE +/- 189.35, N = 3SE +/- 67.60, N = 392195.290314.071721.169839.864052.763986.259866.649645.0

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 128EPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20K40K60K80K100KSE +/- 462.84, N = 3SE +/- 156.58, N = 3SE +/- 132.40, N = 3SE +/- 72.81, N = 3SE +/- 47.09, N = 3SE +/- 105.77, N = 3SE +/- 198.29, N = 3SE +/- 116.97, N = 396269.195084.875445.773004.567506.766756.963021.451927.0

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P16000M32000M48000M64000M80000M75134161573.0466629443540.8754316120272.1051157401824.3638776376503.4738412521187.6936765943472.2728953646655.51

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 4564PEPYC 4584PXXeon E-2488EPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244P800K1600K2400K3200K4000KSE +/- 5665.65, N = 3SE +/- 8167.06, N = 3SE +/- 11523.53, N = 3SE +/- 2341.26, N = 3SE +/- 4210.88, N = 3SE +/- 1471.26, N = 3SE +/- 390.53, N = 3SE +/- 2895.46, N = 33844031.283756154.983048853.562749241.802651410.812104490.552056776.091567216.541. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10EPYC 4564PEPYC 4584PXXeon E-2488EPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244P800K1600K2400K3200K4000KSE +/- 5303.54, N = 3SE +/- 5211.99, N = 3SE +/- 7388.22, N = 3SE +/- 1507.35, N = 3SE +/- 4264.77, N = 3SE +/- 2761.61, N = 3SE +/- 2995.56, N = 3SE +/- 1442.09, N = 33761626.613693215.303072373.872762180.282658380.052195688.492163987.011651621.671. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: 500 - Client Number: 100EPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248815M30M45M60M75MSE +/- 248696.67, N = 3SE +/- 128616.25, N = 3SE +/- 41672.18, N = 3SE +/- 282335.19, N = 3SE +/- 42980.57, N = 3SE +/- 364826.83, N = 3SE +/- 151013.56, N = 3SE +/- 205982.51, N = 37089646970752573698575196873598564781285642010365792524557028398

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P15M30M45M60M75MSE +/- 262014.17, N = 3SE +/- 489754.87, N = 3SE +/- 347434.46, N = 3SE +/- 162538.27, N = 3SE +/- 418677.10, N = 3SE +/- 402227.19, N = 3SE +/- 245819.57, N = 3SE +/- 374209.00, N = 37081737369731166694355976877181464655502634516805776019757190648

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100EPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248820M40M60M80M100MSE +/- 356287.02, N = 3SE +/- 51778.51, N = 3SE +/- 368630.91, N = 3SE +/- 105860.93, N = 3SE +/- 282897.65, N = 3SE +/- 216731.24, N = 3SE +/- 200521.84, N = 3SE +/- 262085.32, N = 37999961179324034793153197743401170305285702935716354137862558098

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20M40M60M80M100MSE +/- 243124.87, N = 3SE +/- 818556.17, N = 3SE +/- 707677.76, N = 3SE +/- 191894.24, N = 3SE +/- 255843.12, N = 3SE +/- 612351.99, N = 3SE +/- 922667.78, N = 3SE +/- 173074.65, N = 38018926378454316782040867623218571338740712038936488636462518245

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248820M40M60M80M100MSE +/- 118053.95, N = 3SE +/- 198325.80, N = 3SE +/- 390613.00, N = 3SE +/- 132686.57, N = 3SE +/- 296062.71, N = 3SE +/- 77775.76, N = 3SE +/- 57777.29, N = 3SE +/- 232749.13, N = 37915944177878702776056277567015169561449693423776234888161842388

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P20M40M60M80M100MSE +/- 285870.90, N = 3SE +/- 360981.97, N = 3SE +/- 169341.63, N = 3SE +/- 718192.76, N = 3SE +/- 676495.92, N = 3SE +/- 261270.67, N = 3SE +/- 787042.09, N = 3SE +/- 77022.60, N = 37860081977658914771721607472357970107030691441646265554962459195

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-248816M32M48M64M80MSE +/- 138400.03, N = 3SE +/- 205604.00, N = 3SE +/- 81989.58, N = 3SE +/- 59581.06, N = 3SE +/- 302032.90, N = 3SE +/- 268932.10, N = 3SE +/- 45916.59, N = 3SE +/- 209117.79, N = 37603185074075244733216387054497963086247629514585668905256035278

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P16M32M48M64M80MSE +/- 219419.50, N = 3SE +/- 597457.28, N = 3SE +/- 171497.11, N = 3SE +/- 367807.54, N = 3SE +/- 441409.11, N = 3SE +/- 178945.47, N = 3SE +/- 207001.08, N = 3SE +/- 580368.90, N = 57457989673716025727105927022686864182563639541765649449956122243

ClickHouse

OpenBenchmarking.orgQueries Per Minute, Geo Mean Per Watt, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 4484PXEPYC 4584PXEPYC 4344PEPYC 4464PEPYC 4244PXeon E-2488EPYC 4364PEPYC 4564P0.9361.8722.8083.7444.684.1603.6833.0453.0182.9612.6832.4462.183

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheEPYC 4584PXEPYC 4484PXXeon E-2488EPYC 4464PEPYC 4564PEPYC 4364PEPYC 4344PEPYC 4244P60120180240300SE +/- 1.16, N = 3SE +/- 1.12, N = 3SE +/- 1.98, N = 3SE +/- 0.94, N = 3SE +/- 2.37, N = 5SE +/- 1.84, N = 3SE +/- 1.31, N = 3SE +/- 1.29, N = 3265.18258.37234.39233.74227.39222.47213.47195.64MIN: 14.2 / MAX: 10000MIN: 14.45 / MAX: 10000MIN: 9.14 / MAX: 12000MIN: 13.67 / MAX: 10000MIN: 13.31 / MAX: 10000MIN: 10.49 / MAX: 12000MIN: 10.21 / MAX: 8571.43MIN: 7.8 / MAX: 10000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4564PEPYC 4364PEPYC 4344PEPYC 4244P60120180240300SE +/- 3.27, N = 3SE +/- 1.95, N = 3SE +/- 2.91, N = 3SE +/- 3.87, N = 3SE +/- 1.51, N = 5SE +/- 1.00, N = 3SE +/- 0.75, N = 3SE +/- 1.04, N = 3293.87279.62256.89249.50248.89236.47230.37211.23MIN: 18.95 / MAX: 10000MIN: 14.87 / MAX: 8571.43MIN: 13.95 / MAX: 10000MIN: 9.27 / MAX: 12000MIN: 15.92 / MAX: 8571.43MIN: 10.66 / MAX: 10000MIN: 10.32 / MAX: 10000MIN: 7.98 / MAX: 10000

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4564PXeon E-2488EPYC 4344PEPYC 4364PEPYC 4244P60120180240300SE +/- 2.40, N = 3SE +/- 2.43, N = 3SE +/- 4.31, N = 3SE +/- 2.29, N = 5SE +/- 1.74, N = 3SE +/- 2.33, N = 3SE +/- 4.93, N = 3SE +/- 1.41, N = 3291.70291.26259.35251.80249.90233.30232.47214.00MIN: 14.85 / MAX: 10000MIN: 16.56 / MAX: 7500MIN: 13.75 / MAX: 10000MIN: 15.75 / MAX: 10000MIN: 9.25 / MAX: 12000MIN: 10.46 / MAX: 10000MIN: 10.67 / MAX: 12000MIN: 7.95 / MAX: 10000

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 4564PEPYC 4464PXeon E-2488EPYC 4584PXEPYC 4364PEPYC 4344PEPYC 4484PXEPYC 4244P30060090012001500SE +/- 4.85, N = 3SE +/- 7.01, N = 3SE +/- 4.64, N = 3SE +/- 4.14, N = 3SE +/- 5.66, N = 3SE +/- 3.26, N = 3SE +/- 5.80, N = 3SE +/- 3.77, N = 311831131112811241124109510761009-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

MariaDB

OpenBenchmarking.orgQueries Per Second Per Watt, More Is BetterMariaDB 11.5Test: oltp_write_only - Threads: 64EPYC 4584PXEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4464PEPYC 4244PEPYC 4364PEPYC 4564P80016002400320040003816.763775.783515.903425.223341.463020.252714.802582.86

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 4564PEPYC 4464PEPYC 4584PXEPYC 4364PXeon E-2488EPYC 4344PEPYC 4484PXEPYC 4244P130260390520650SE +/- 0.54, N = 3SE +/- 0.23, N = 3SE +/- 0.71, N = 3SE +/- 0.74, N = 3SE +/- 1.05, N = 3SE +/- 0.66, N = 3SE +/- 0.93, N = 3SE +/- 0.54, N = 3612586582580574565561517-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -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_read_write - Threads: 64EPYC 4564PEPYC 4584PXXeon E-2488EPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244P40K80K120K160K200KSE +/- 389.87, N = 3SE +/- 91.63, N = 3SE +/- 562.40, N = 3SE +/- 296.87, N = 3SE +/- 99.82, N = 3SE +/- 211.83, N = 3SE +/- 284.19, N = 3SE +/- 193.47, N = 3201182197194186418172265169625168593166060133141-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

OpenBenchmarking.orgQueries Per Second Per Watt, More Is BetterMariaDB 11.5Test: oltp_update_non_index - Threads: 64EPYC 4344PEPYC 4484PXXeon E-2488EPYC 4584PXEPYC 4464PEPYC 4244PEPYC 4364PEPYC 4564P60012001800240030002712.012566.092536.082499.922348.412306.072057.751806.63

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.5Test: oltp_write_only - Threads: 64EPYC 4564PEPYC 4584PXXeon E-2488EPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244P70K140K210K280K350KSE +/- 56.85, N = 3SE +/- 391.18, N = 3SE +/- 798.38, N = 3SE +/- 971.36, N = 3SE +/- 431.10, N = 3SE +/- 419.19, N = 3SE +/- 204.75, N = 3SE +/- 493.89, N = 3348099346495296034279043273914265119260139208039-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.5Test: oltp_update_non_index - Threads: 64EPYC 4564PEPYC 4584PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4464PEPYC 4484PXEPYC 4244P50K100K150K200K250KSE +/- 290.99, N = 3SE +/- 355.20, N = 3SE +/- 516.32, N = 3SE +/- 295.88, N = 3SE +/- 120.42, N = 3SE +/- 159.15, N = 3SE +/- 1725.95, N = 9SE +/- 223.22, N = 3233313227813220068201401197477191756185239162697-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -lm

OpenBenchmarking.orgQueries Per Second, More Is BetterMariaDB 11.5Test: oltp_update_index - Threads: 64EPYC 4564PEPYC 4584PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4464PEPYC 4484PXEPYC 4244P40K80K120K160K200KSE +/- 282.52, N = 3SE +/- 412.73, N = 3SE +/- 250.58, N = 3SE +/- 308.54, N = 3SE +/- 133.22, N = 3SE +/- 411.40, N = 3SE +/- 173.91, N = 3SE +/- 254.61, N = 3198538196283187089177579173080168313159977142647-shared -lrt -lstdc++-shared -lrt -lstdc++-lnuma -lpcre2-8 -lcrypt -laio -lssl -lcrypto-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++-shared -lrt -lstdc++1. (CXX) g++ options: -fPIC -pie -fstack-protector -O3 -lpthread -lz -ldl -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: bcryptEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P9K18K27K36K45KSE +/- 104.20, N = 3SE +/- 89.13, N = 3SE +/- 12.90, N = 3SE +/- 157.44, N = 3SE +/- 7.88, N = 3SE +/- 43.32, N = 3SE +/- 127.68, N = 3SE +/- 12.53, N = 343695419613288231119234072323518787176541. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: MD5EPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4364PXeon E-24887K14K21K28K35K33455.1832143.7532094.8826134.2223477.1918658.4117423.109802.54

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P9K18K27K36K45KSE +/- 39.87, N = 3SE +/- 175.99, N = 3SE +/- 7.77, N = 3SE +/- 156.57, N = 3SE +/- 3.00, N = 3SE +/- 44.47, N = 3SE +/- 68.54, N = 3SE +/- 17.13, N = 343795418893286431440234032324318841176211. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: HMAC-SHA512EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-248840M80M120M160M200MSE +/- 580393.26, N = 3SE +/- 243467.31, N = 3SE +/- 58043.09, N = 3SE +/- 1126651.23, N = 3SE +/- 110045.95, N = 3SE +/- 411753.30, N = 3SE +/- 24875.24, N = 3SE +/- 518797.01, N = 318133100017090800014455700013634400011707266711677033389217667407210001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: WPA PSKEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248830K60K90K120K150KSE +/- 425.10, N = 3SE +/- 585.52, N = 3SE +/- 115.44, N = 3SE +/- 646.01, N = 3SE +/- 221.78, N = 3SE +/- 166.40, N = 3SE +/- 52.29, N = 3SE +/- 135.70, N = 3160664155044120139112461855328419763566295601. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: MD5EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488900K1800K2700K3600K4500KSE +/- 11590.23, N = 3SE +/- 17559.42, N = 3SE +/- 333.33, N = 3SE +/- 8082.90, N = 3SE +/- 7423.69, N = 3SE +/- 666.67, N = 3SE +/- 17071.74, N = 3SE +/- 2504.83, N = 341180003825000303033328070002234333221933315683339197911. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PXeon E-2488EPYC 4344PEPYC 4244P30K60K90K120K150KSE +/- 150.85, N = 3SE +/- 28.66, N = 3SE +/- 32.54, N = 3SE +/- 69.09, N = 3SE +/- 127.61, N = 3SE +/- 231.66, N = 3SE +/- 78.04, N = 3SE +/- 50.61, N = 3162348.33160748.18123864.16118177.50101214.8898692.9597227.4275062.511. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 500EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PXeon E-2488EPYC 4344PEPYC 4244P30K60K90K120K150KSE +/- 336.44, N = 3SE +/- 288.60, N = 3SE +/- 88.44, N = 3SE +/- 41.74, N = 3SE +/- 191.32, N = 3SE +/- 173.47, N = 3SE +/- 64.09, N = 3SE +/- 14.73, N = 3158717.74154835.06124133.88116236.1694947.7592582.2991569.8770866.421. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

OpenBenchmarking.orgRequests Per Second, More Is Betternginx 1.23.2Connections: 1000EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P30K60K90K120K150KSE +/- 280.22, N = 3SE +/- 301.50, N = 3SE +/- 194.32, N = 3SE +/- 117.22, N = 3SE +/- 46.60, N = 3SE +/- 98.21, N = 3SE +/- 87.10, N = 3SE +/- 150.02, N = 3150874.91136360.72120690.43108719.1287132.2285990.1284832.8266910.931. (CC) gcc options: -lluajit-5.1 -lm -lssl -lcrypto -lpthread -ldl -std=c99 -O2

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: 32Xeon E-2488EPYC 4364PEPYC 4464PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4244PEPYC 4584PX14M28M42M56M70MSE +/- 637003.49, N = 3SE +/- 2645.75, N = 3SE +/- 26514.15, N = 3SE +/- 318365.79, N = 3SE +/- 1855.92, N = 3SE +/- 16522.71, N = 3SE +/- 2905.93, N = 3SE +/- 223381.09, N = 363236667536590005314700053018667522516675103100050272333495846671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512Xeon E-2488EPYC 4364PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4564PEPYC 4244PEPYC 4464P4M8M12M16M20MSE +/- 13650.40, N = 3SE +/- 250051.55, N = 3SE +/- 189549.47, N = 3SE +/- 44508.43, N = 3SE +/- 267438.19, N = 15SE +/- 410224.76, N = 15SE +/- 150617.99, N = 3SE +/- 421403.42, N = 1520255000196116671936500019125000191190671896440018426333180782001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 32EPYC 4564PEPYC 4584PXEPYC 4364PEPYC 4464PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4244P200M400M600M800M1000MSE +/- 67412.49, N = 3SE +/- 1995247.13, N = 3SE +/- 812656.82, N = 3SE +/- 956399.50, N = 3SE +/- 3918917.08, N = 3SE +/- 1997031.13, N = 3SE +/- 5153390.47, N = 3SE +/- 383507.21, N = 37959666677726166677355666677284600007183066677180200007110500005461366671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 512EPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P60M120M180M240M300MSE +/- 520000.00, N = 3SE +/- 2913213.19, N = 3SE +/- 1274497.72, N = 3SE +/- 168358.08, N = 3SE +/- 75055.53, N = 3SE +/- 170098.01, N = 3SE +/- 1245404.89, N = 3SE +/- 138604.15, N = 32923900002825633332335966672301533332116700002062700001592700001564333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 4464PEPYC 4364PEPYC 4344PEPYC 4564PEPYC 4484PXEPYC 4244PEPYC 4584PXXeon E-24882004006008001000SE +/- 0.83, N = 3SE +/- 3.59, N = 3SE +/- 1.60, N = 3SE +/- 2.05, N = 3SE +/- 0.68, N = 3SE +/- 2.19, N = 3SE +/- 3.03, N = 3SE +/- 1.43, N = 3812.29808.62804.51803.04791.79773.69746.24675.48

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24883K6K9K12K15KSE +/- 5.90, N = 3SE +/- 2.41, N = 3SE +/- 14.97, N = 3SE +/- 3.17, N = 3SE +/- 2.36, N = 3SE +/- 2.72, N = 3SE +/- 3.91, N = 3SE +/- 28.09, N = 314289.713432.710308.39585.57697.37335.25652.63000.21. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

NAS Parallel Benchmarks

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 4484PXEPYC 4344PEPYC 4584PXEPYC 4244PEPYC 4464PXeon E-2488EPYC 4364PEPYC 4564P130260390520650617.69554.38551.30501.00470.78435.24390.80365.66

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4344PEPYC 4364PEPYC 4244P10K20K30K40K50KSE +/- 481.60, N = 5SE +/- 110.88, N = 3SE +/- 193.15, N = 3SE +/- 229.09, N = 3SE +/- 96.46, N = 3SE +/- 20.15, N = 3SE +/- 14.25, N = 3SE +/- 5.49, N = 347856.8744844.1340212.6537547.7628326.3622976.5322935.2722331.461. (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

OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 4484PXEPYC 4584PXEPYC 4244PEPYC 4344PEPYC 4464PEPYC 4364PEPYC 4564PXeon E-248880160240320400383.38306.80263.70231.08202.62164.56149.35149.04

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4364PEPYC 4244P5001000150020002500SE +/- 13.01, N = 8SE +/- 13.19, N = 8SE +/- 21.84, N = 15SE +/- 11.67, N = 7SE +/- 11.50, N = 10SE +/- 55.41, N = 15SE +/- 41.08, N = 15SE +/- 8.87, N = 62123.372051.601542.111508.631489.701470.811169.681168.351. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4344PEPYC 4364PEPYC 4244P10K20K30K40K50KSE +/- 266.87, N = 3SE +/- 521.71, N = 15SE +/- 13.15, N = 3SE +/- 221.05, N = 3SE +/- 714.33, N = 15SE +/- 38.55, N = 3SE +/- 613.23, N = 15SE +/- 11.58, N = 348014.8647556.6943166.1041255.9840491.5640284.2337149.8826620.691. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BEPYC 4484PXEPYC 4584PXEPYC 4564PEPYC 4464PXeon E-2488EPYC 4344PEPYC 4244PEPYC 4364P5K10K15K20K25KSE +/- 51.70, N = 4SE +/- 245.10, N = 4SE +/- 253.63, N = 3SE +/- 246.27, N = 15SE +/- 44.80, N = 3SE +/- 9.02, N = 3SE +/- 2.11, N = 3SE +/- 12.84, N = 325252.3524785.6518660.9017215.9212750.9711203.8311155.6411152.311. (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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.CEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PXeon E-2488EPYC 4344PEPYC 4244PEPYC 4364P3K6K9K12K15KSE +/- 188.19, N = 3SE +/- 10.77, N = 3SE +/- 146.76, N = 5SE +/- 27.04, N = 3SE +/- 4.20, N = 3SE +/- 5.49, N = 3SE +/- 7.67, N = 3SE +/- 1.44, N = 315940.6114130.3013374.3511606.2211387.0510088.5010028.7410027.111. (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

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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P13K26K39K52K65KSE +/- 609.40, N = 3SE +/- 699.92, N = 3SE +/- 263.22, N = 3SE +/- 339.91, N = 3SE +/- 362.37, N = 3SE +/- 256.18, N = 3SE +/- 304.71, N = 3SE +/- 246.90, N = 358405565174667145852424124047339549316091. (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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4344PEPYC 4364PEPYC 4244P300K600K900K1200K1500KSE +/- 3546.18, N = 3SE +/- 3948.07, N = 3SE +/- 2177.66, N = 3SE +/- 2685.11, N = 3SE +/- 1617.01, N = 3SE +/- 5619.73, N = 3SE +/- 6448.13, N = 3SE +/- 4829.64, N = 3138725413841669906769742825558735533715205024144851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 800 - Mode: Read WriteEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P11K22K33K44K55KSE +/- 549.43, N = 3SE +/- 481.81, N = 3SE +/- 454.20, N = 3SE +/- 369.77, N = 7SE +/- 85.58, N = 3SE +/- 123.75, N = 3SE +/- 206.50, N = 3SE +/- 280.73, N = 351022495223983039608344863265732280254481. (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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4344PEPYC 4364PEPYC 4244P300K600K900K1200K1500KSE +/- 4344.86, N = 3SE +/- 8757.92, N = 3SE +/- 11913.26, N = 3SE +/- 6188.19, N = 3SE +/- 1154.98, N = 3SE +/- 2047.43, N = 3SE +/- 4300.20, N = 3SE +/- 2616.05, N = 9127329411082438894248324154319624147503900183170511. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenSSL

OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4564PEPYC 4344PXeon E-2488EPYC 4244PEPYC 4364P70014002100280035003076.803024.572875.262215.632144.192072.091689.391579.41

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P80K160K240K320K400KSE +/- 143.01, N = 3SE +/- 494.21, N = 3SE +/- 923.26, N = 3SE +/- 313.76, N = 3SE +/- 1626.68, N = 3SE +/- 20.61, N = 3SE +/- 13.93, N = 3SE +/- 34.43, N = 3373632.3363062.6274041.4270736.0195618.8194210.3190537.1144386.11. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P90K180K270K360K450K3971383841832948912751672261982217671941271703681. (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

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P9K18K27K36K45KSE +/- 204.38, N = 3SE +/- 96.96, N = 3SE +/- 54.69, N = 3SE +/- 61.57, N = 3SE +/- 11.00, N = 3SE +/- 22.00, N = 3SE +/- 16.84, N = 3SE +/- 50.00, N = 34387943767313993088523078225052006017273

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 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248820406080100SE +/- 0.42, N = 3SE +/- 0.22, N = 3SE +/- 0.10, N = 3SE +/- 0.39, N = 3SE +/- 0.31, N = 3SE +/- 0.91, N = 3SE +/- 0.44, N = 3SE +/- 0.51, N = 364.5264.5565.6366.4970.7071.6679.6480.56MAX: 12582.24MAX: 15090.58MAX: 12576.01MAX: 13829.28MAX: 13822.83MAX: 13850.52MAX: 15110.81MAX: 15084.51

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P60120180240300SE +/- 1.59, N = 3SE +/- 3.67, N = 3SE +/- 3.51, N = 3SE +/- 1.22, N = 3SE +/- 2.74, N = 3SE +/- 3.35, N = 3SE +/- 1.91, N = 3SE +/- 3.65, N = 3227.34230.41231.39231.55243.61250.94275.14275.62MAX: 26429.57MAX: 26735.87MAX: 27094.18MAX: 27011.78MAX: 26975.13MAX: 27118.82MAX: 27185.57MAX: 28062.74

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488306090120150SE +/- 0.82, N = 3SE +/- 0.56, N = 3SE +/- 0.40, N = 3SE +/- 0.32, N = 3SE +/- 0.24, N = 3SE +/- 0.39, N = 3SE +/- 0.72, N = 3SE +/- 0.54, N = 392.0892.2792.9195.09105.58105.70117.14119.49MAX: 11356.99MAX: 11332.45MAX: 12607.68MAX: 12619.54MAX: 15103.61MAX: 13869.85MAX: 15130.91MAX: 13845.12

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P90180270360450SE +/- 1.19, N = 3SE +/- 5.40, N = 3SE +/- 5.21, N = 3SE +/- 1.97, N = 3SE +/- 6.12, N = 3SE +/- 6.58, N = 3SE +/- 10.20, N = 3SE +/- 2.59, N = 3316.26321.29326.49333.41347.97350.00382.48406.89MAX: 27135.69MAX: 27126.33MAX: 27383.3MAX: 26859.8MAX: 27085.8MAX: 27235.37MAX: 27376.22MAX: 27507.51

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100EPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248820406080100SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.29, N = 3SE +/- 0.07, N = 3SE +/- 0.29, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 359.6160.5260.6662.3068.1668.5876.6977.24MAX: 23860.38MAX: 23884.06MAX: 23861.25MAX: 23874.13MAX: 23889.9MAX: 23897.06MAX: 23999.1MAX: 23891.04

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P60120180240300SE +/- 1.32, N = 3SE +/- 2.35, N = 3SE +/- 0.75, N = 3SE +/- 3.20, N = 3SE +/- 6.43, N = 3SE +/- 1.82, N = 3SE +/- 4.53, N = 3SE +/- 1.17, N = 3232.67235.16237.32244.44260.60268.42290.14295.34MAX: 26680.29MAX: 26882.16MAX: 26320.16MAX: 26631.84MAX: 26603.07MAX: 27440.82MAX: 26535.45MAX: 26742.14

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-2488306090120150SE +/- 0.15, N = 3SE +/- 0.21, N = 3SE +/- 0.27, N = 3SE +/- 0.12, N = 3SE +/- 0.64, N = 3SE +/- 0.48, N = 3SE +/- 0.11, N = 3SE +/- 0.51, N = 3101.02103.37105.03108.81122.33122.55136.58137.92MAX: 23859.84MAX: 23852.59MAX: 23941.39MAX: 23915.13MAX: 23948.29MAX: 23938.16MAX: 23944.74MAX: 23917.2

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400EPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P110220330440550SE +/- 1.42, N = 3SE +/- 4.31, N = 3SE +/- 1.07, N = 3SE +/- 4.87, N = 3SE +/- 4.56, N = 3SE +/- 3.04, N = 3SE +/- 1.92, N = 3SE +/- 8.54, N = 5398.76399.56407.64421.83462.14465.51524.13529.44MAX: 26832.58MAX: 27980.82MAX: 26798.87MAX: 27011.65MAX: 27920.53MAX: 27554.23MAX: 26588.63MAX: 28194.55

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 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PXeon E-2488EPYC 4344PEPYC 4244PEPYC 4364P1020304050SE +/- 0.17, N = 3SE +/- 0.35, N = 3SE +/- 0.27, N = 3SE +/- 0.42, N = 15SE +/- 1.09, N = 12SE +/- 0.00, N = 3SE +/- 0.11, N = 3SE +/- 0.88, N = 1522.9728.1429.5531.8632.8735.4841.7142.941. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

OpenBenchmarking.orgHydro Cycle Time - Seconds, Fewer Is BetterPennant 1.0.1Test: sedovbigEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PEPYC 4344PXeon E-2488EPYC 4244PEPYC 4364P1428425670SE +/- 0.12, N = 3SE +/- 0.43, N = 3SE +/- 0.35, N = 8SE +/- 0.18, N = 3SE +/- 0.05, N = 3SE +/- 0.67, N = 4SE +/- 0.22, N = 3SE +/- 0.59, N = 634.6442.1842.2349.1850.8955.9059.0261.971. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

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 TimesXeon E-2488EPYC 4464PEPYC 4364PEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4584PXEPYC 4484PX130260390520650SE +/- 2.82, N = 5SE +/- 5.33, N = 4SE +/- 2.53, N = 4SE +/- 2.21, N = 4SE +/- 6.41, N = 4SE +/- 2.17, N = 4SE +/- 6.56, N = 15SE +/- 6.12, N = 4415526527532533550571602

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 Write - Average LatencyEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P48121620SE +/- 0.089, N = 3SE +/- 0.109, N = 3SE +/- 0.061, N = 3SE +/- 0.080, N = 3SE +/- 0.101, N = 3SE +/- 0.078, N = 3SE +/- 0.098, N = 3SE +/- 0.123, N = 38.5638.85010.71410.90611.79112.35512.64415.8201. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4344PEPYC 4364PEPYC 4244P0.27160.54320.81481.08641.358SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.009, N = 3SE +/- 0.012, N = 3SE +/- 0.014, N = 30.3600.3610.5050.5130.8990.9040.9611.2071. (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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P714212835SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.23, N = 3SE +/- 0.19, N = 7SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.16, N = 3SE +/- 0.34, N = 315.6816.1620.0920.2123.2024.5024.7931.441. (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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4344PEPYC 4364PEPYC 4244P0.56811.13621.70432.27242.8405SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.012, N = 3SE +/- 0.007, N = 3SE +/- 0.005, N = 3SE +/- 0.010, N = 3SE +/- 0.023, N = 3SE +/- 0.021, N = 90.6280.7220.9000.9611.8521.9292.0512.5251. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P6001200180024003000SE +/- 1.00, N = 3SE +/- 1.53, N = 3SE +/- 1.45, N = 3SE +/- 16.15, N = 3SE +/- 1.76, N = 3SE +/- 1.86, N = 3SE +/- 0.88, N = 3SE +/- 1.45, N = 310691140155415902133217624412899

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P11K22K33K44K55KSE +/- 33.74, N = 3SE +/- 12.67, N = 3SE +/- 16.70, N = 3SE +/- 280.33, N = 3SE +/- 43.80, N = 3SE +/- 55.41, N = 3SE +/- 112.38, N = 3SE +/- 80.90, N = 31711617460247192518637458383344151450055

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20K40K60K80K100KSE +/- 168.15, N = 3SE +/- 55.84, N = 3SE +/- 35.09, N = 3SE +/- 40.93, N = 3SE +/- 145.56, N = 3SE +/- 106.16, N = 3SE +/- 135.20, N = 3SE +/- 217.15, N = 33792340142528725342671530729308123696023

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P6001200180024003000SE +/- 2.08, N = 3SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 9.29, N = 3SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 2.33, N = 3SE +/- 3.28, N = 310801155156215892156220124742930

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P11K22K33K44K55KSE +/- 19.75, N = 3SE +/- 3.84, N = 3SE +/- 39.63, N = 3SE +/- 293.34, N = 3SE +/- 127.68, N = 3SE +/- 87.29, N = 3SE +/- 172.31, N = 3SE +/- 199.64, N = 31728518442249722553037900386904227550339

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20K40K60K80K100KSE +/- 61.02, N = 3SE +/- 140.94, N = 3SE +/- 126.62, N = 3SE +/- 95.50, N = 3SE +/- 152.10, N = 3SE +/- 84.09, N = 3SE +/- 34.91, N = 3SE +/- 222.81, N = 33819239089537265420272250738588240397307

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P7001400210028003500SE +/- 0.33, N = 3SE +/- 15.53, N = 4SE +/- 3.18, N = 3SE +/- 2.33, N = 3SE +/- 4.04, N = 3SE +/- 2.52, N = 3SE +/- 0.88, N = 3SE +/- 5.49, N = 312651319183118982526257528843430

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P13K26K39K52K65KSE +/- 29.87, N = 3SE +/- 45.16, N = 3SE +/- 529.04, N = 15SE +/- 102.05, N = 3SE +/- 62.68, N = 3SE +/- 85.35, N = 3SE +/- 115.84, N = 3SE +/- 91.50, N = 32028321517311163296843830446744892958442

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P20K40K60K80K100KSE +/- 101.69, N = 3SE +/- 195.52, N = 3SE +/- 30.37, N = 3SE +/- 84.90, N = 3SE +/- 273.73, N = 3SE +/- 185.23, N = 3SE +/- 76.92, N = 3SE +/- 16.70, N = 344247469046193764689842098574395447113501

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 4584PXEPYC 4344PEPYC 4464PEPYC 4364PEPYC 4484PXEPYC 4244PEPYC 4564PXeon E-248812002400360048006000SE +/- 90.20, N = 15SE +/- 5.95, N = 7SE +/- 26.89, N = 7SE +/- 10.00, N = 7SE +/- 4.33, N = 6SE +/- 16.57, N = 6SE +/- 29.27, N = 6SE +/- 17.70, N = 6397849885037508351325160522456071. (CXX) g++ options: -O3

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 4364PEPYC 4344PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4244PXeon E-248830060090012001500SE +/- 0.52, N = 3SE +/- 0.62, N = 3SE +/- 1.73, N = 3SE +/- 0.35, N = 3SE +/- 0.56, N = 3SE +/- 0.16, N = 3SE +/- 0.60, N = 3SE +/- 8.08, N = 3560.14579.07590.80597.79605.15647.10761.781506.63MIN: 538 / MAX: 581.72MIN: 564.55 / MAX: 589.31MIN: 555.5 / MAX: 623.22MIN: 574.7 / MAX: 616.24MIN: 570.99 / MAX: 624.11MIN: 540.69 / MAX: 688.06MIN: 744.08 / MAX: 774.48MIN: 1180.01 / MAX: 1642.121. (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 FP16-INT8 - Device: CPUEPYC 4364PEPYC 4344PEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4244P90180270360450SE +/- 0.15, N = 3SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.41, N = 3SE +/- 0.11, N = 3SE +/- 0.33, N = 3SE +/- 0.59, N = 3SE +/- 0.03, N = 3285.97299.02301.79312.52313.09331.37384.09393.13MIN: 150.08 / MAX: 303.22MIN: 288.59 / MAX: 303.77MIN: 278.87 / MAX: 327.8MIN: 167.86 / MAX: 330.96MIN: 291.27 / MAX: 322.77MIN: 179.64 / MAX: 354.6MIN: 285.45 / MAX: 543.49MIN: 378.57 / MAX: 400.921. (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 4364PEPYC 4244PEPYC 4344PEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon 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 = 30.400.410.410.410.430.440.461.00MIN: 0.2 / MAX: 7.69MIN: 0.22 / MAX: 5.13MIN: 0.21 / MAX: 8.32MIN: 0.21 / MAX: 10.02MIN: 0.22 / MAX: 7.53MIN: 0.22 / MAX: 7.12MIN: 0.22 / MAX: 9.38MIN: 0.4 / MAX: 10.731. (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-INT8 - Device: CPUEPYC 4364PEPYC 4344PEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4244PEPYC 4464PXeon 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 = 30.280.290.290.300.310.320.320.40MIN: 0.15 / MAX: 7.71MIN: 0.16 / MAX: 5.09MIN: 0.16 / MAX: 8.63MIN: 0.16 / MAX: 8.01MIN: 0.16 / MAX: 7.6MIN: 0.16 / MAX: 7.47MIN: 0.16 / MAX: 9.37MIN: 0.18 / MAX: 8.351. (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 4484PXEPYC 4364PEPYC 4344PEPYC 4464PEPYC 4584PXEPYC 4564PEPYC 4244PXeon E-2488306090120150SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.45, N = 3SE +/- 1.01, N = 3SE +/- 0.11, N = 3SE +/- 0.73, N = 370.4472.5276.3681.5683.3089.9890.50133.99MIN: 48.46 / MAX: 97.28MIN: 28.47 / MAX: 87.6MIN: 56.38 / MAX: 88.42MIN: 55.87 / MAX: 108.66MIN: 29.23 / MAX: 114.06MIN: 63.39 / MAX: 124.53MIN: 68.02 / MAX: 98.61MIN: 103.21 / MAX: 233.721. (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 FP32 - Device: CPUEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4464PEPYC 4584PXEPYC 4244PEPYC 4564PXeon E-2488306090120150SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.18, N = 3SE +/- 0.38, N = 3SE +/- 0.38, N = 3SE +/- 0.39, N = 3SE +/- 0.48, N = 3SE +/- 0.77, N = 370.3172.7076.5280.7983.1890.0290.49134.54MIN: 50.95 / MAX: 96.87MIN: 40.38 / MAX: 84.07MIN: 52.86 / MAX: 94.9MIN: 30.58 / MAX: 108.27MIN: 38.33 / MAX: 120MIN: 43.62 / MAX: 98.59MIN: 55.81 / MAX: 127.95MIN: 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: Weld Porosity Detection FP16-INT8 - Device: CPUEPYC 4364PEPYC 4244PEPYC 4344PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-2488246810SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 35.635.755.875.966.176.216.497.78MIN: 2.98 / MAX: 16.09MIN: 3.02 / MAX: 14.8MIN: 3.03 / MAX: 15.22MIN: 3.08 / MAX: 18.52MIN: 3.21 / MAX: 15.44MIN: 3.24 / MAX: 18.16MIN: 3.31 / MAX: 18.52MIN: 3.64 / MAX: 44.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUEPYC 4364PEPYC 4244PEPYC 4344PEPYC 4564PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-2488714212835SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 311.0511.2711.5111.7211.9112.0412.8230.05MIN: 5.83 / MAX: 23.56MIN: 5.84 / MAX: 21.18MIN: 5.95 / MAX: 21.47MIN: 6 / MAX: 26.83MIN: 6.32 / MAX: 23.15MIN: 6.3 / MAX: 25.96MIN: 6.57 / MAX: 26.61MIN: 17.38 / MAX: 87.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUEPYC 4364PEPYC 4344PEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4244PXeon E-248848121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 34.534.754.825.015.025.336.1915.95MIN: 2.65 / MAX: 17.47MIN: 2.76 / MAX: 10.38MIN: 2.78 / MAX: 17.83MIN: 2.78 / MAX: 17.17MIN: 2.86 / MAX: 11.09MIN: 2.88 / MAX: 17.76MIN: 3.5 / MAX: 13.93MIN: 9.85 / MAX: 70.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUEPYC 4484PXEPYC 4584PXEPYC 4364PEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4564PXeon E-248848121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 37.757.898.448.789.1310.9411.3616.04MIN: 4.8 / MAX: 13.5MIN: 4.2 / MAX: 25.04MIN: 4.55 / MAX: 19.23MIN: 4.89 / MAX: 24.3MIN: 4.28 / MAX: 20.17MIN: 4.95 / MAX: 20.28MIN: 4.12 / MAX: 36.81MIN: 9.49 / MAX: 56.981. (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 Vehicle Bike Detection FP16 - Device: CPUEPYC 4364PEPYC 4344PEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4244PXeon E-24883691215SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 34.785.045.105.125.325.646.609.94MIN: 3.18 / MAX: 16.31MIN: 3.47 / MAX: 17.02MIN: 3.41 / MAX: 14.16MIN: 3.61 / MAX: 15.43MIN: 3.77 / MAX: 11.07MIN: 3.48 / MAX: 18.22MIN: 4.29 / MAX: 16.53MIN: 6.2 / MAX: 41.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUEPYC 4364PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4244PXeon E-2488306090120150SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.39, N = 3SE +/- 0.08, N = 348.2653.4456.9857.6858.4358.5663.29118.45MIN: 29.16 / MAX: 69.56MIN: 25.81 / MAX: 61.36MIN: 40.42 / MAX: 73.08MIN: 32.9 / MAX: 82.05MIN: 31.85 / MAX: 94.55MIN: 42.61 / MAX: 80.74MIN: 45.67 / MAX: 70.41MIN: 68.57 / MAX: 244.711. (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 4364PEPYC 4344PEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4244PXeon E-24883691215SE +/- 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 +/- 0.02, N = 32.212.372.372.512.622.702.989.76MIN: 1.23 / MAX: 13.12MIN: 1.25 / MAX: 6.4MIN: 1.27 / MAX: 12.75MIN: 1.32 / MAX: 13.29MIN: 1.36 / MAX: 13.53MIN: 1.33 / MAX: 14.55MIN: 1.64 / MAX: 9.56MIN: 4.34 / MAX: 46.891. (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-INT8 - Device: CPUEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-24881.14082.28163.42244.56325.704SE +/- 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 = 33.163.273.333.353.513.533.645.07MIN: 1.77 / MAX: 13.91MIN: 1.84 / MAX: 8.95MIN: 1.88 / MAX: 15.67MIN: 1.81 / MAX: 10.37MIN: 1.92 / MAX: 13.78MIN: 1.95 / MAX: 9.62MIN: 1.95 / MAX: 15.55MIN: 2.36 / MAX: 27.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUEPYC 4364PEPYC 4484PXEPYC 4344PEPYC 4584PXEPYC 4564PEPYC 4244PEPYC 4464PXeon E-24881224364860SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.20, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 3SE +/- 0.30, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 320.3721.4021.7021.8521.8922.0123.4753.07MIN: 14.74 / MAX: 35.54MIN: 14.65 / MAX: 31.23MIN: 16.33 / MAX: 33.88MIN: 15.94 / MAX: 38.89MIN: 14.64 / MAX: 40.37MIN: 13.52 / MAX: 35.51MIN: 17.04 / MAX: 41.98MIN: 35.4 / MAX: 130.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4344PEPYC 4484PXEPYC 4584PXEPYC 4464PXeon E-24881020304050SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 319.1319.8620.0920.2220.3120.5722.1145.70MIN: 12.57 / MAX: 34MIN: 13.85 / MAX: 30.49MIN: 13.66 / MAX: 38.02MIN: 14.54 / MAX: 30.69MIN: 14.76 / MAX: 29.79MIN: 14.62 / MAX: 37.71MIN: 14.68 / MAX: 40.04MIN: 32.92 / MAX: 117.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUEPYC 4484PXEPYC 4364PEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4564PEPYC 4244PXeon E-2488918273645SE +/- 0.07, N = 3SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 317.7617.7918.3219.6823.2725.1527.2339.48MIN: 11.78 / MAX: 28.07MIN: 9.38 / MAX: 30.36MIN: 10.07 / MAX: 36.96MIN: 10.8 / MAX: 33.75MIN: 8.9 / MAX: 35.88MIN: 11.63 / MAX: 50.5MIN: 12.7 / MAX: 33.19MIN: 22.02 / MAX: 90.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUEPYC 4364PEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4344PEPYC 4464PEPYC 4244PXeon E-2488816243240SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 314.4815.4516.3416.7316.8317.0521.3136.35MIN: 8.91 / MAX: 26.44MIN: 9.45 / MAX: 28.8MIN: 9.56 / MAX: 24.55MIN: 9.66 / MAX: 30.96MIN: 8.78 / MAX: 22.96MIN: 9.42 / MAX: 28.42MIN: 11.09 / MAX: 25.08MIN: 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: Person Re-Identification Retail FP16 - Device: CPUEPYC 4364PEPYC 4344PEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4244PXeon E-248848121620SE +/- 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 +/- 0.11, N = 33.874.074.114.284.364.645.1518.22MIN: 2.38 / MAX: 13.89MIN: 2.41 / MAX: 9.33MIN: 2.45 / MAX: 41.27MIN: 2.63 / MAX: 16.2MIN: 2.55 / MAX: 15.23MIN: 2.6 / MAX: 15.94MIN: 3.03 / MAX: 14.81MIN: 10.36 / MAX: 177.581. (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 4364PEPYC 4484PXEPYC 4584PXEPYC 4244PEPYC 4344PEPYC 4464PEPYC 4564PXeon 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 +/- 0.03, N = 37.958.098.408.498.839.289.9015.21MIN: 5 / MAX: 23.85MIN: 5.45 / MAX: 16.52MIN: 5.53 / MAX: 31MIN: 5.12 / MAX: 20.17MIN: 5.3 / MAX: 14.21MIN: 5.38 / MAX: 30.18MIN: 6.53 / MAX: 37.69MIN: 10.08 / MAX: 64.691. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 4484PXEPYC 4584PXXeon E-2488EPYC 4564PEPYC 4464PEPYC 4344PEPYC 4244PEPYC 4364P246810SE +/- 0.00824, N = 7SE +/- 0.00632, N = 7SE +/- 0.04485, N = 7SE +/- 0.01415, N = 7SE +/- 0.01722, N = 7SE +/- 0.01592, N = 7SE +/- 0.03028, N = 7SE +/- 0.00717, N = 74.029364.245326.380536.407196.463577.792027.934558.16800MIN: 3.95MIN: 3.87MIN: 5.92MIN: 5.93MIN: 6.03MIN: 7.68MIN: 7.8MIN: 7.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_1d - Engine: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488246810SE +/- 0.01295, N = 3SE +/- 0.01094, N = 3SE +/- 0.01511, N = 3SE +/- 0.02716, N = 3SE +/- 0.00421, N = 3SE +/- 0.00446, N = 3SE +/- 0.00480, N = 3SE +/- 0.02381, N = 33.006363.113073.345053.575683.910893.934455.214626.85318MIN: 2.4MIN: 2.51MIN: 2.98MIN: 2.86MIN: 3.5MIN: 3.52MIN: 4.63MIN: 3.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Deconvolution Batch shapes_3d - Engine: CPUEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1.24932.49863.74794.99726.2465SE +/- 0.00405, N = 9SE +/- 0.00476, N = 9SE +/- 0.00652, N = 9SE +/- 0.00129, N = 9SE +/- 0.00661, N = 9SE +/- 0.00062, N = 9SE +/- 0.10597, N = 15SE +/- 0.00099, N = 92.461592.707823.454613.510653.834123.948884.947925.55254MIN: 2.35MIN: 2.61MIN: 3.24MIN: 3.46MIN: 3.58MIN: 3.84MIN: 4.45MIN: 5.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 1D - Engine: CPUEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-24880.65571.31141.96712.62283.2785SE +/- 0.00269, N = 4SE +/- 0.00331, N = 4SE +/- 0.00037, N = 4SE +/- 0.00923, N = 4SE +/- 0.00137, N = 4SE +/- 0.00536, N = 4SE +/- 0.00010, N = 4SE +/- 0.01544, N = 41.130001.166741.935531.973621.979321.999862.606382.91408MIN: 1.03MIN: 1.08MIN: 1.91MIN: 1.82MIN: 1.91MIN: 1.85MIN: 2.57MIN: 2.511. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 3D - Engine: CPUEPYC 4484PXEPYC 4584PXEPYC 4464PEPYC 4564PEPYC 4244PEPYC 4344PEPYC 4364PXeon E-2488246810SE +/- 0.00680, N = 5SE +/- 0.01016, N = 5SE +/- 0.00774, N = 5SE +/- 0.00611, N = 5SE +/- 0.00220, N = 5SE +/- 0.00237, N = 5SE +/- 0.00833, N = 5SE +/- 0.01930, N = 52.704302.890873.806933.886854.494064.516294.678407.59695MIN: 2.66MIN: 2.68MIN: 3.54MIN: 3.57MIN: 4.45MIN: 4.45MIN: 4.46MIN: 7.291. (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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P7001400210028003500SE +/- 1.43, N = 3SE +/- 1.75, N = 3SE +/- 1.07, N = 3SE +/- 2.12, N = 3SE +/- 1.64, N = 3SE +/- 3.47, N = 3SE +/- 9.27, N = 3SE +/- 0.60, N = 31348.371355.101890.001973.992491.142514.662931.953148.81MIN: 1314.05MIN: 1323.99MIN: 1885.76MIN: 1936.17MIN: 2459.9MIN: 2499.44MIN: 2882.15MIN: 3143.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Inference - Engine: CPUEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P30060090012001500SE +/- 2.47, N = 3SE +/- 1.91, N = 3SE +/- 0.47, N = 3SE +/- 1.03, N = 3SE +/- 0.53, N = 3SE +/- 7.18, N = 3SE +/- 6.38, N = 3SE +/- 0.51, N = 3694.52706.65962.211036.151310.591337.471548.711615.38MIN: 671.73MIN: 679.48MIN: 959.35MIN: 1006.91MIN: 1303.57MIN: 1299.81MIN: 1512.56MIN: 1610.141. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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 4364PEPYC 4344PEPYC 4564PEPYC 4244PEPYC 4464PEPYC 4584PXEPYC 4484PXXeon E-24888001600240032004000SE +/- 28.17, N = 3SE +/- 13.60, N = 3SE +/- 15.03, N = 3SE +/- 12.81, N = 3SE +/- 30.89, N = 3SE +/- 41.68, N = 3SE +/- 38.91, N = 4SE +/- 16.31, N = 33042.03060.53265.23288.43338.23350.93515.93695.4MIN: 3011.87 / MAX: 4321.7MIN: 3036.07 / MAX: 4235.11MIN: 3236.75 / MAX: 4741.82MIN: 3264.51 / MAX: 4523.94MIN: 3297.53 / MAX: 4743.03MIN: 3285.69 / MAX: 4786.32MIN: 3407.81 / MAX: 4967.72MIN: 3664.8 / MAX: 5363.87

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PXeon E-2488EPYC 4344PEPYC 4244P30060090012001500SE +/- 3.44, N = 7SE +/- 5.68, N = 7SE +/- 9.69, N = 7SE +/- 7.50, N = 7SE +/- 9.55, N = 7SE +/- 8.96, N = 15SE +/- 8.67, N = 11SE +/- 9.62, N = 1110511053110111091113112211551298

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache TomcatEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P2K4K6K8K10KSE +/- 2.95, N = 4SE +/- 2.87, N = 4SE +/- 4.80, N = 4SE +/- 5.15, N = 4SE +/- 9.21, N = 3SE +/- 6.08, N = 3SE +/- 14.71, N = 3SE +/- 4.16, N = 333703384444144596482648566878628

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Apache Lucene Search EngineEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244PXeon E-24887001400210028003500SE +/- 9.53, N = 5SE +/- 16.10, N = 5SE +/- 7.90, N = 5SE +/- 18.41, N = 5SE +/- 19.37, N = 5SE +/- 18.64, N = 5SE +/- 20.21, N = 5SE +/- 50.09, N = 1520802127231323742391240928293113

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: H2 Database EngineEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P5001000150020002500SE +/- 5.29, N = 3SE +/- 13.96, N = 3SE +/- 9.02, N = 3SE +/- 23.54, N = 4SE +/- 7.51, N = 3SE +/- 11.72, N = 3SE +/- 23.84, N = 3SE +/- 14.53, N = 317151826185019141977199221282394

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Zxing 1D/2D Barcode Image ProcessingEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P30060090012001500SE +/- 4.09, N = 9SE +/- 3.84, N = 9SE +/- 3.68, N = 9SE +/- 2.11, N = 9SE +/- 2.37, N = 8SE +/- 2.15, N = 8SE +/- 30.56, N = 15SE +/- 10.99, N = 75896207497811019104110531380

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 0.36, N = 3SE +/- 0.35, N = 3SE +/- 0.38, N = 3SE +/- 0.47, N = 3SE +/- 0.32, N = 3SE +/- 0.40, N = 3SE +/- 0.45, N = 3SE +/- 0.29, N = 357.4757.4870.3075.2597.4198.29108.34126.00

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P400800120016002000SE +/- 0.27, N = 3SE +/- 0.38, N = 3SE +/- 0.76, N = 3SE +/- 1.21, N = 3SE +/- 0.32, N = 3SE +/- 0.16, N = 3SE +/- 0.63, N = 3SE +/- 0.90, N = 3710.79714.38905.03976.201310.961319.931508.041730.88

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1224364860SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.33, N = 3SE +/- 0.13, N = 325.2525.3030.5533.0342.2042.9450.0553.88

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P90180270360450SE +/- 0.60, N = 3SE +/- 0.40, N = 3SE +/- 0.51, N = 3SE +/- 0.49, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.34, N = 3SE +/- 0.05, N = 3184.51188.53225.99246.66326.16330.82364.42415.40

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P2004006008001000SE +/- 0.55, N = 3SE +/- 0.68, N = 3SE +/- 0.11, N = 3SE +/- 0.29, N = 3SE +/- 0.38, N = 3SE +/- 0.61, N = 3SE +/- 1.08, N = 3SE +/- 0.13, N = 3395.44421.43482.80524.51739.34743.11915.94916.47

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P120240360480600SE +/- 3.30, N = 4SE +/- 0.80, N = 3SE +/- 1.50, N = 3SE +/- 1.21, N = 3SE +/- 0.34, N = 3SE +/- 0.25, N = 3SE +/- 0.89, N = 3SE +/- 0.50, N = 3267.08273.49320.09339.22432.22438.62468.38540.89

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P2004006008001000SE +/- 0.47, N = 3SE +/- 0.24, N = 3SE +/- 0.34, N = 3SE +/- 0.48, N = 3SE +/- 0.77, N = 3SE +/- 0.10, N = 3SE +/- 0.51, N = 3SE +/- 0.14, N = 3345.35354.76428.25464.51636.83644.77697.94815.09

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 16.0Build System: Unix MakefilesEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P2004006008001000SE +/- 2.07, N = 3SE +/- 1.00, N = 3SE +/- 0.93, N = 3SE +/- 0.73, N = 3SE +/- 0.38, N = 3SE +/- 0.24, N = 3SE +/- 0.50, N = 3SE +/- 0.63, N = 3379.72387.01453.31491.50662.52669.64719.39840.92

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1428425670SE +/- 0.22, N = 3SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.24, N = 3SE +/- 0.10, N = 3SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 340.1040.1143.9945.5953.7654.0454.4563.30

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P1020304050SE +/- 0.13, N = 3SE +/- 0.25, N = 3SE +/- 0.14, N = 3SE +/- 0.36, N = 3SE +/- 0.14, N = 3SE +/- 0.23, N = 3SE +/- 0.23, N = 3SE +/- 0.12, N = 329.4429.5030.4732.5636.9036.9038.1342.111. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P816243240SE +/- 0.21, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.16, N = 317.4617.6721.0522.1228.2628.6232.5235.71

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P51015202514.1314.5915.0615.2116.5816.8216.8518.85

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedEPYC 4564PXeon E-2488EPYC 4464PEPYC 4584PXEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244P50100150200250193.47197.92197.98198.06199.92200.98202.26214.38

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PXeon E-2488EPYC 4364PEPYC 4344PEPYC 4244P306090120150SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.29, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 382.3883.7287.8490.0399.58100.63101.97115.641. (CXX) g++ options: -O3 -rdynamic -lssl -lcrypto -ldl

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PEPYC 4244PXeon E-24881632486480SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.62, N = 327.9128.5339.6540.4253.5054.3971.9872.851. (CXX) g++ options: -fopenmp -O2 -march=native

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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.40, N = 3SE +/- 0.49, N = 3SE +/- 1.33, N = 3SE +/- 1.26, N = 3SE +/- 1.62, N = 381.8883.97103.73113.17133.31133.47144.54166.971. (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: Water-layered HalfspaceEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4484PXXeon E-2488EPYC 4244P306090120150SE +/- 0.54, N = 3SE +/- 0.06, N = 3SE +/- 0.52, N = 3SE +/- 0.42, N = 3SE +/- 0.81, N = 3SE +/- 0.24, N = 3SE +/- 0.21, N = 3SE +/- 0.07, N = 378.3885.25104.12129.33130.20131.87135.42156.911. (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: Homogeneous HalfspaceEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4484PXEPYC 4244P20406080100SE +/- 0.48, N = 3SE +/- 0.28, N = 3SE +/- 0.57, N = 3SE +/- 0.54, N = 3SE +/- 0.35, N = 3SE +/- 0.41, N = 3SE +/- 0.43, N = 3SE +/- 1.09, N = 336.3139.5650.7059.6363.8767.1167.5677.231. (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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1428425670SE +/- 0.35, N = 5SE +/- 0.29, N = 15SE +/- 0.26, N = 3SE +/- 0.12, N = 3SE +/- 0.25, N = 3SE +/- 0.47, N = 3SE +/- 0.34, N = 3SE +/- 0.61, N = 531.1233.1339.0147.8551.2951.5953.2962.571. (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: Tomographic ModelEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4484PXXeon E-2488EPYC 4244P1428425670SE +/- 0.34, N = 3SE +/- 0.20, N = 15SE +/- 0.32, N = 3SE +/- 0.53, N = 3SE +/- 0.48, N = 3SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.26, N = 328.0630.1339.2847.6949.5852.2352.8960.381. (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

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 4584PXXeon E-2488EPYC 4464PEPYC 4564PEPYC 4344PEPYC 4244PEPYC 4484PXEPYC 4364P20406080100SE +/- 0.47, N = 6SE +/- 0.27, N = 3SE +/- 0.28, N = 3SE +/- 0.45, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.21, N = 347.0264.5869.9872.8874.5977.2385.7386.821. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P50100150200250SE +/- 3.67, N = 10SE +/- 1.88, N = 3SE +/- 2.27, N = 3SE +/- 1.91, N = 3SE +/- 0.06, N = 3SE +/- 2.92, N = 3SE +/- 8.24, N = 12SE +/- 0.19, N = 3154.85154.99177.02191.34203.43205.87228.90237.241. (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 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PXeon E-2488EPYC 4344PEPYC 4244PEPYC 4364P510152025SE +/- 0.11, N = 15SE +/- 0.15, N = 15SE +/- 0.12, N = 15SE +/- 0.17, N = 15SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 913.8214.7616.5917.2919.7520.3921.8021.871. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionEPYC 4584PXEPYC 4484PXXeon E-2488EPYC 4564PEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244P20406080100SE +/- 0.83, N = 3SE +/- 0.60, N = 15SE +/- 0.87, N = 15SE +/- 0.58, N = 10SE +/- 0.40, N = 3SE +/- 0.30, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 365.1170.7173.7273.8875.6885.3487.7789.871. (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

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 4584PXEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4244P91827364529.6930.7732.8533.3333.6535.1938.1739.161. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeEPYC 4584PXEPYC 4484PXEPYC 4564PEPYC 4464PXeon E-2488EPYC 4344PEPYC 4364PEPYC 4244P70140210280350141.46168.98183.23210.39242.94275.10296.60307.011. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeEPYC 4584PXXeon E-2488EPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244P60120180240300204.60225.95226.01243.10254.77262.84296.21297.171. (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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeEPYC 4584PXEPYC 4484PXXeon E-2488EPYC 4564PEPYC 4464PEPYC 4344PEPYC 4364PEPYC 4244P60012001800240030002040.352123.992260.992351.512407.902781.242827.882944.551. (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

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 4584PXEPYC 4564PEPYC 4464PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4364PEPYC 4244P60120180240300SE +/- 3.16, N = 9SE +/- 2.93, N = 12SE +/- 4.67, N = 12SE +/- 1.41, N = 3SE +/- 0.53, N = 3SE +/- 3.59, N = 9SE +/- 7.66, N = 9SE +/- 0.57, N = 3168.39183.64202.27229.49238.13259.88266.65291.79

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal InstallationEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4484PXEPYC 4244PEPYC 4364PXeon E-24884080120160200SE +/- 3.75, N = 15SE +/- 1.00, N = 3SE +/- 7.92, N = 9SE +/- 0.24, N = 3SE +/- 3.80, N = 9SE +/- 0.54, N = 3SE +/- 8.68, N = 9SE +/- 5.45, N = 12106.01110.05126.03127.32148.28157.48162.03177.74

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4244P20406080100SE +/- 1.68, N = 12SE +/- 0.42, N = 3SE +/- 1.62, N = 15SE +/- 0.37, N = 3SE +/- 1.45, N = 15SE +/- 3.30, N = 15SE +/- 3.06, N = 15SE +/- 0.21, N = 367.7167.8875.8380.0482.0293.2695.4898.85

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper BeamEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4344PEPYC 4484PXEPYC 4244PEPYC 4364PXeon E-2488306090120150SE +/- 1.49, N = 15SE +/- 1.50, N = 3SE +/- 2.01, N = 15SE +/- 0.23, N = 3SE +/- 1.43, N = 5SE +/- 0.20, N = 3SE +/- 3.91, N = 12SE +/- 2.49, N = 12108.64117.99118.52124.70138.93140.76145.32153.90

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4344PXeon E-2488EPYC 4244PEPYC 4364P130260390520650SE +/- 2.52, N = 3SE +/- 4.35, N = 9SE +/- 9.39, N = 6SE +/- 4.68, N = 5SE +/- 4.81, N = 6SE +/- 8.95, N = 9SE +/- 0.28, N = 3SE +/- 5.87, N = 9322.67324.46403.46421.96494.79538.42560.31585.75

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MEPYC 4584PXEPYC 4564PEPYC 4464PEPYC 4344PEPYC 4484PXXeon E-2488EPYC 4364PEPYC 4244P2004006008001000SE +/- 8.46, N = 9SE +/- 4.49, N = 3SE +/- 9.60, N = 3SE +/- 1.89, N = 3SE +/- 2.98, N = 3SE +/- 17.37, N = 7SE +/- 10.68, N = 9SE +/- 2.88, N = 3823.26891.84936.34967.20978.51983.541003.591126.52

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3SE +/- 0.16, N = 3SE +/- 0.33, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3SE +/- 0.46, N = 353.2554.6476.3978.09101.72104.74123.51136.83

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P80160240320400SE +/- 0.07, N = 3SE +/- 0.33, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3SE +/- 0.28, N = 3SE +/- 1.57, N = 3SE +/- 0.40, N = 3136.11139.57197.38199.31259.46267.86336.94351.06

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 3SE +/- 0.39, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3SE +/- 0.15, N = 366.7867.9995.4497.84127.01130.42165.00170.00

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P90180270360450SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.40, N = 3SE +/- 0.34, N = 3SE +/- 1.05, N = 3SE +/- 0.44, N = 3165.35168.04236.28242.01315.13323.68411.15421.36

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248830060090012001500SE +/- 0.46, N = 3SE +/- 0.24, N = 3SE +/- 0.50, N = 3SE +/- 0.89, N = 3SE +/- 0.87, N = 3SE +/- 1.01, N = 3SE +/- 0.31, N = 3SE +/- 4.06, N = 3481.15481.39680.74697.15925.38942.291244.701281.54

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200SE +/- 0.17, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.08, N = 3SE +/- 0.43, N = 3SE +/- 0.48, N = 3SE +/- 0.02, N = 3SE +/- 0.25, N = 372.7572.78101.19103.25139.48141.77173.17186.24

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P70140210280350152.30153.65201.65202.53263.51264.67323.27341.30

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P5010015020025085.3287.70118.62120.91156.07160.01174.95210.11

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterEPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P4080120160200102.15104.32129.09131.17142.94146.67173.41191.21

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4344PEPYC 4364PXeon E-2488EPYC 4244P246810SE +/- 0.025811, N = 10SE +/- 0.022219, N = 15SE +/- 0.036366, N = 9SE +/- 0.044427, N = 15SE +/- 0.051557, N = 7SE +/- 0.045809, N = 15SE +/- 0.044479, N = 6SE +/- 0.047798, N = 63.2998793.5215654.4083234.4479045.7018566.1544606.6124867.6173051. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

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 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P306090120150SE +/- 0.33, N = 3SE +/- 0.77, N = 5SE +/- 0.10, N = 3SE +/- 1.17, N = 3SE +/- 0.18, N = 3SE +/- 0.27, N = 3SE +/- 0.49, N = 3SE +/- 0.29, N = 372.1174.0689.6391.59108.65110.46133.57136.631. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2EPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1428425670SE +/- 0.03, N = 3SE +/- 0.33, N = 7SE +/- 0.18, N = 3SE +/- 0.56, N = 4SE +/- 0.13, N = 3SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.23, N = 336.3337.1144.3445.7351.9452.5661.8464.141. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6EPYC 4564PEPYC 4584PXEPYC 4464PEPYC 4484PXEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P246810SE +/- 0.010, N = 9SE +/- 0.018, N = 9SE +/- 0.014, N = 8SE +/- 0.008, N = 8SE +/- 0.014, N = 7SE +/- 0.005, N = 7SE +/- 0.088, N = 15SE +/- 0.010, N = 63.4213.5684.4374.4695.3385.4366.2606.7981. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, LosslessEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P3691215SE +/- 0.044, N = 7SE +/- 0.051, N = 9SE +/- 0.038, N = 6SE +/- 0.018, N = 6SE +/- 0.021, N = 6SE +/- 0.006, N = 6SE +/- 0.014, N = 5SE +/- 0.012, N = 55.8906.1747.1687.2158.1478.2628.96910.0241. (CXX) g++ options: -O3 -fPIC -lm

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 4584PXEPYC 4484PXEPYC 4344PEPYC 4364PEPYC 4244PEPYC 4564PEPYC 4464PXeon E-2488246810SE +/- 0.020, N = 7SE +/- 0.016, N = 7SE +/- 0.016, N = 7SE +/- 0.017, N = 7SE +/- 0.013, N = 7SE +/- 0.021, N = 7SE +/- 0.018, N = 7SE +/- 0.011, N = 65.4805.5265.5835.5875.6945.7805.8156.462

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 4484PXEPYC 4584PXEPYC 4344PEPYC 4364PEPYC 4564PEPYC 4244PEPYC 4464PXeon E-24881428425670SE +/- 0.51, N = 3SE +/- 0.02, N = 3SE +/- 0.40, N = 3SE +/- 0.27, N = 3SE +/- 0.53, N = 3SE +/- 0.33, N = 3SE +/- 0.39, N = 3SE +/- 0.51, N = 347.2347.5747.7348.6848.8849.3250.4663.081. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P1.16512.33023.49534.66045.8255SE +/- 0.003, N = 11SE +/- 0.003, N = 11SE +/- 0.003, N = 10SE +/- 0.003, N = 9SE +/- 0.004, N = 8SE +/- 0.003, N = 8SE +/- 0.028, N = 15SE +/- 0.002, N = 72.0162.1172.7713.0043.8283.9664.0805.1781. (CC) gcc options: -O2 -pthread

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitEPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PXeon E-2488EPYC 4244P110220330440550SE +/- 0.37, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.29, N = 3SE +/- 0.18, N = 3SE +/- 0.31, N = 3SE +/- 0.23, N = 3SE +/- 0.52, N = 3200.77204.02268.44291.51375.92386.16437.41504.271. (CC) gcc options: -O2 -pthread

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 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488510152025SE +/- 0.007, N = 6SE +/- 0.009, N = 6SE +/- 0.005, N = 5SE +/- 0.007, N = 5SE +/- 0.007, N = 4SE +/- 0.013, N = 4SE +/- 0.014, N = 3SE +/- 0.302, N = 36.6917.0309.1839.94312.50612.93716.82721.0951. (CXX) g++ options: -O3

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13EPYC 4564PEPYC 4584PXEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248850100150200250SE +/- 0.20, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.15, N = 3SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 382.4785.31111.63120.86153.60158.45205.20245.671. (CXX) g++ options: -O3

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 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-248848121620SE +/- 0.010, N = 5SE +/- 0.010, N = 5SE +/- 0.012, N = 5SE +/- 0.009, N = 5SE +/- 0.036, N = 4SE +/- 0.038, N = 4SE +/- 0.082, N = 4SE +/- 0.124, N = 48.3738.6528.9699.41411.58911.86114.13314.926

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BEPYC 4584PXEPYC 4564PEPYC 4484PXEPYC 4464PEPYC 4364PEPYC 4344PEPYC 4244PXeon E-2488816243240SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 317.7318.2119.3520.2525.4626.1631.3233.89

603 Results Shown

CPU Peak Freq (Highest CPU Core Frequency) Monitor:
  Phoronix Test Suite System Monitoring:
    Megahertz
    Watts
    Watts
PyTorch:
  CPU - 1 - ResNet-50
  CPU - 64 - ResNet-50
miniBUDE
miniBUDE
miniBUDE
miniBUDE
Stress-NG:
  Fused Multiply-Add
  Vector Shuffle
Stress-NG:
  Floating Point
  Vector Floating Point
  Wide Vector Math
Stress-NG:
  Vector Floating Point
  Wide Vector Math
  AVX-512 VNNI
  Floating Point
OpenSSL:
  SHA256
  SHA512
  AES-128-GCM
  AES-256-GCM
  ChaCha20
  ChaCha20-Poly1305
FFmpeg:
  libx265 - Live
  libx265 - Upload
  libx265 - Platform
  libx265 - Video On Demand
OpenVINO:
  Face Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Vehicle Detection FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Face Detection Retail FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Handwritten English Recognition FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Road Segmentation ADAS FP16 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Person Re-Identification Retail FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
SVT-AV1
Embree:
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
  Preset 13 - Bosphorus 4K
SVT-AV1:
  Preset 8 - Bosphorus 1080p
  Preset 4 - Bosphorus 4K
SVT-AV1
SVT-HEVC:
  1 - Bosphorus 1080p
  1 - Bosphorus 4K
  7 - Bosphorus 1080p
  7 - Bosphorus 4K
  10 - Bosphorus 1080p
  10 - Bosphorus 4K
SVT-VP9
Embree
SVT-VP9
SVT-AV1
SVT-VP9
SVT-AV1
SVT-AV1
SVT-VP9
SVT-AV1:
  Preset 13 - Bosphorus 4K
  Preset 12 - Bosphorus 1080p
SVT-VP9
SVT-VP9:
  VMAF Optimized - Bosphorus 4K
  Bosphorus 1080p
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
SVT-VP9
x265:
  Bosphorus 4K
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
SVT-AV1
x265:
  Bosphorus 1080p
  Bosphorus 4K
Kvazaar:
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
Kvazaar
Kvazaar
uvg266:
  Bosphorus 1080p - Medium
  Bosphorus 1080p - Very Fast
  Bosphorus 1080p - Super Fast
  Bosphorus 1080p - Ultra Fast
  Bosphorus 4K - Medium
uvg266:
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
  Bosphorus 1080p - Faster
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
uvg266
VVenC
uvg266:
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Ultra Fast
VVenC:
  Bosphorus 1080p - Fast
  Bosphorus 1080p - Faster
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
miniBUDE:
  OpenMP - BM1
  OpenMP - BM2
HeFFTe - Highly Efficient FFT for Exascale
ACES DGEMM
HeFFTe - Highly Efficient FFT for Exascale:
  r2c - FFTW - float - 128
  r2c - FFTW - double - 128
Intel Open Image Denoise
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RTLightmap.hdr.4096x4096 - CPU-Only
TensorFlow:
  CPU - 1 - ResNet-50
  CPU - 1 - GoogLeNet
  CPU - 32 - ResNet-50
TensorFlow:
  CPU - 1 - ResNet-50
  CPU - 1 - GoogLeNet
  CPU - 32 - ResNet-50
  CPU - 32 - AlexNet
  CPU - 64 - ResNet-50
  CPU - 64 - AlexNet
  CPU - 64 - GoogLeNet
TensorFlow:
  CPU - 32 - GoogLeNet
  CPU - 256 - ResNet-50
  CPU - 256 - AlexNet
TensorFlow
TensorFlow:
  CPU - 256 - GoogLeNet
  CPU - 512 - ResNet-50
  CPU - 512 - AlexNet
  CPU - 512 - GoogLeNet
TensorFlow:
  CPU - 256 - ResNet-50
  CPU - 256 - AlexNet
  CPU - 256 - GoogLeNet
  CPU - 512 - ResNet-50
  CPU - 512 - AlexNet
  CPU - 512 - GoogLeNet
ONNX Runtime:
  yolov4 - CPU - Parallel
  fcn-resnet101-11 - CPU - Parallel
  super-resolution-10 - CPU - Parallel
  bertsquad-12 - CPU - Parallel
  GPT-2 - CPU - Standard
  GPT-2 - CPU - Parallel
  ArcFace ResNet-100 - CPU - Parallel
  ResNet50 v1-12-int8 - CPU - Standard
  ResNet50 v1-12-int8 - CPU - Parallel
  CaffeNet 12-int8 - CPU - Parallel
  Faster R-CNN R-50-FPN-int8 - CPU - Parallel
  T5 Encoder - CPU - Standard
  T5 Encoder - CPU - Parallel
OpenVKL
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/scivis/real_time
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/ao/real_time
  particle_volume/pathtracer/real_time
  particle_volume/scivis/real_time
GraphicsMagick
GraphicsMagick
GraphicsMagick:
  HWB Color Space
  Enhanced
GraphicsMagick:
  HWB Color Space
  Enhanced
  Resizing
GraphicsMagick:
  Sharpen
  Swirl
GraphicsMagick:
  Sharpen
  Swirl
Coremark
Coremark
Aircrack-ng
Cpuminer-Opt:
  scrypt
  Triple SHA-256, Onecoin
  Quad SHA-256, Pyrite
Cpuminer-Opt:
  Magi
  Ringcoin
Cpuminer-Opt:
  Myriad-Groestl
  Magi
  Blake-2 S
  Ringcoin
  Skeincoin
  Garlicoin
  Deepcoin
  LBC, LBRY Credits
LuxCoreRender
LuxCoreRender
LuxCoreRender
LuxCoreRender:
  LuxCore Benchmark - CPU
  Orange Juice - CPU
LuxCoreRender:
  DLSC - CPU
  LuxCore Benchmark - CPU
  Orange Juice - CPU
Zstd Compression:
  8 - Compression Speed
  8, Long Mode - Compression Speed
  12 - Compression Speed
  19 - Compression Speed
  19, Long Mode - Compression Speed
srsRAN Project:
  PUSCH Processor Benchmark, Throughput Total
  PUSCH Processor Benchmark, Throughput Thread
  PDSCH Processor Benchmark, Throughput Total
  PDSCH Processor Benchmark, Throughput Thread
Timed Linux Kernel Compilation:
  CPU Peak Freq (Highest CPU Core Frequency) Monitor:
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
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    Megahertz
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    Megahertz
    Megahertz
    Megahertz
    Megahertz
    Megahertz
  Multi-Threaded:
    MFLOPS Per Watt
QuantLib
ASKAP
ASKAP:
  tConvolve OpenMP - Gridding
  tConvolve OpenMP - Degridding
7-Zip Compression
7-Zip Compression:
  Compression Rating
  Decompression Rating
JPEG-XL libjxl:
  JPEG - 90
  JPEG - 100
  PNG - 90
JPEG-XL libjxl
JPEG-XL libjxl
ASKAP
ASKAP:
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
ASTC Encoder
ASTC Encoder:
  Medium
  Thorough
  Very Thorough
ASTC Encoder
ASTC Encoder
ASTC Encoder:
  Medium
  Thorough
  Exhaustive
Stockfish
Stockfish
GROMACS
GROMACS
LAMMPS Molecular Dynamics Simulator
NAMD
LAMMPS Molecular Dynamics Simulator
NAMD
NAMD
ScyllaDB
RocksDB
RocksDB:
  Rand Read
  Read While Writing
  Read Rand Write Rand
Speedb:
  Rand Read
  Read While Writing
  Read Rand Write Rand
CockroachDB
Java JMH
CockroachDB:
  KV, 50% Reads - 128
  KV, 60% Reads - 128
Java JMH
Memcached:
  1:100
  1:10
Apache IoTDB:
  500 - 100 - 500 - 100
  500 - 100 - 500 - 400
  500 - 100 - 800 - 100
  500 - 100 - 800 - 400
  800 - 100 - 500 - 100
  800 - 100 - 500 - 400
  800 - 100 - 800 - 100
  800 - 100 - 800 - 400
ClickHouse
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
MariaDB mariadb-slap
MariaDB
MariaDB mariadb-slap
MariaDB
MariaDB
MariaDB:
  oltp_write_only - 64
  oltp_update_non_index - 64
  oltp_update_index - 64
John The Ripper
John The Ripper
John The Ripper:
  Blowfish
  HMAC-SHA512
  WPA PSK
  MD5
nginx:
  200
  500
  1000
Liquid-DSP:
  1 - 256 - 32
  1 - 256 - 512
  16 - 256 - 32
  16 - 256 - 512
Numpy Benchmark
OpenSSL
NAS Parallel Benchmarks
NAS Parallel Benchmarks
NAS Parallel Benchmarks
NAS Parallel Benchmarks:
  EP.C
  LU.C
  SP.B
  SP.C
PostgreSQL:
  100 - 500 - Read Write
  100 - 500 - Read Only
  100 - 800 - Read Write
  100 - 800 - Read Only
OpenSSL
OpenSSL
BRL-CAD
Chaos Group V-RAY
Apache IoTDB:
  500 - 100 - 500 - 100
  500 - 100 - 500 - 400
  500 - 100 - 800 - 100
  500 - 100 - 800 - 400
  800 - 100 - 500 - 100
  800 - 100 - 500 - 400
  800 - 100 - 800 - 100
  800 - 100 - 800 - 400
Pennant:
  leblancbig
  sedovbig
PyBench
PostgreSQL:
  100 - 500 - Read Write - Average Latency
  100 - 500 - Read Only - Average Latency
  100 - 800 - Read Write - Average Latency
  100 - 800 - Read Only - Average Latency
OSPRay Studio:
  1 - 1080p - 1 - Path Tracer - CPU
  1 - 1080p - 16 - Path Tracer - CPU
  1 - 1080p - 32 - Path Tracer - CPU
  2 - 1080p - 1 - Path Tracer - CPU
  2 - 1080p - 16 - Path Tracer - CPU
  2 - 1080p - 32 - Path Tracer - CPU
  3 - 1080p - 1 - Path Tracer - CPU
  3 - 1080p - 16 - Path Tracer - CPU
  3 - 1080p - 32 - Path Tracer - CPU
Google Draco
OpenVINO:
  Face Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Vehicle Detection FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Face Detection Retail FP16 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Handwritten English Recognition FP16 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Road Segmentation ADAS FP16 - CPU
  Road Segmentation ADAS FP16-INT8 - CPU
  Person Re-Identification Retail FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
oneDNN:
  Convolution Batch Shapes Auto - CPU
  Deconvolution Batch shapes_1d - CPU
  Deconvolution Batch shapes_3d - CPU
  IP Shapes 1D - CPU
  IP Shapes 3D - CPU
  Recurrent Neural Network Training - CPU
  Recurrent Neural Network Inference - CPU
Renaissance
DaCapo Benchmark:
  PMD Source Code Analyzer
  Apache Tomcat
  Apache Lucene Search Engine
  H2 Database Engine
  Zxing 1D/2D Barcode Image Processing
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed FFmpeg Compilation
Timed Godot Game Engine Compilation
Timed Node.js Compilation
Timed Gem5 Compilation
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed PHP Compilation
Timed Wasmer Compilation
Timed Mesa Compilation
Timed CPython Compilation:
  Default
  Released Build, PGO + LTO Optimized
DuckDB
m-queens
SPECFEM3D:
  Layered Halfspace
  Water-layered Halfspace
  Homogeneous Halfspace
  Mount St. Helens
  Tomographic Model
CloverLeaf
GPAW
Xcompact3d Incompact3d:
  input.i3d 129 Cells Per Direction
  input.i3d 193 Cells Per Direction
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
  drivaerFastback, Medium Mesh Size - Execution Time
OpenRadioss:
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  Cell Phone Drop Test
  Bumper Beam
  INIVOL and Fluid Structure Interaction Drop Container
  Chrysler Neon 1M
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Pabellon Barcelona - CPU-Only
  Barbershop - CPU-Only
  Junkshop - CPU-Only
Appleseed:
  Emily
  Disney Material
  Material Tester
Parallel BZIP2 Compression
libavif avifenc:
  0
  2
  6
  6, Lossless
GNU Octave Benchmark
Z3 Theorem Prover
Helsing:
  12 digit
  14 digit
Primesieve:
  1e12
  1e13
Y-Cruncher:
  500M
  1B