AMD EPYC 9755 DDR5 Turin Memory Performance

AMD EPYC 9755 with varying DDR5-6000 default versus DDR5-4800 memory performance. Benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2410130-NE-TURINDDR565
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DDR5-4800
September 28
  17 Hours, 4 Minutes
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September 29
  17 Hours, 26 Minutes
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AMD EPYC 9755 DDR5 Turin Memory PerformanceOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 9755 128-Core @ 2.70GHz (128 Cores / 256 Threads)AMD VOLCANO (RVOT1000D BIOS)AMD Device 153a12 x 64GB DDR5-4800MT/s Samsung M321R8GA0PB1-CCPKC12 x 64GB DDR5-6000MT/s Samsung M321R8GA0PB1-CCPKC2 x 1920GB KIOXIA KCD8XPUG1T92ASPEEDBroadcom NetXtreme BCM5720 PCIeUbuntu 24.046.10.0-phx (x86_64)GCC 13.2.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelCompilerFile-SystemScreen ResolutionAMD EPYC 9755 DDR5 Turin Memory Performance BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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-OiuXZC/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-OiuXZC/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 - Scaling Governor: acpi-cpufreq performance (Boost: Enabled) - CPU Microcode: 0xb002110 - OpenJDK Runtime Environment (build 21.0.3-ea+7-Ubuntu-1build1)- Python 3.12.2- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: 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; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

DDR5-4800 vs. DDR5-6000 ComparisonPhoronix Test SuiteBaseline+5.1%+5.1%+10.2%+10.2%+15.3%+15.3%20.4%18.5%17.7%17.3%17%16.7%16.4%12.9%12%11.4%11.3%10.5%10.4%9.6%8.8%8.8%8.2%8.2%8.1%7.4%6.8%6.4%6.4%6.4%6.3%6.2%5.2%4.9%4.9%3.9%3.8%3.8%3.5%3.4%2.9%2.9%2.9%2.8%2.7%2.5%2.5%2.3%2.3%2.3%2.2%2.2%2.2%2.1%2.1%2.1%2%tConvolve MT - Degridding144 144 144 - 60clover_bm16Smallclover_bm64_shorttConvolve MT - GriddingSP.CMG.CX.b.i.iconus 2.5kmChrysler Neon 1Md.M.M.S - Execution Timewizardcoder-python-34b-v1.0.Q6_K - CPUP.D.F - CPUP.D.F - CPUtConvolve MPI - GriddingIS.DGhostRider - 1MN.S.P.L.F - CPUd.S.M.S - Mesh TimeM.T.E.T.D.F - CPUM.T.E.T.D.F - CPUCPU - 512 - ResNet-50tConvolve MPI - Degridding1.R.H.D.S.RCPU - 512 - GoogLeNeti.i.1.C.P.DOrange Juice - CPUCPU - 256 - ResNet-50Bosphorus 4K - FasterleblancbigN.S.P.L.F - CPURTLightmap.hdr.4096x4096 - CPU-Only1.R.H.D.T.RCompression RatingCPU - 256 - GoogLeNetPreset 12 - Bosphorus 4K1.R.H.D.F.R.C.CBosphorus 4K - Very FastCPU - 64 - ResNet-50CPU - 512 - ResNet-50Preset 13 - Bosphorus 4KBosphorus 4K - Very FastCPU - 256 - AlexNetCPU - 1 - ResNet-50Junkshop - CPU-OnlyRT.hdr_alb_nrm.3840x2160 - CPU-OnlyRT.ldr_alb_nrm.3840x2160 - CPU-OnlyCarbon NanotubeASKAPHigh Performance Conjugate GradientAlgebraic Multi-Grid BenchmarkCloverLeafminiFECloverLeafASKAPNAS Parallel BenchmarksNAS Parallel BenchmarksXcompact3d Incompact3dWRFOpenRadiossOpenFOAMLlamafileOpenVINOOpenVINOASKAPNAS Parallel BenchmarksXmrigOpenVINOOpenFOAMLULESHOpenVINOOpenVINOTensorFlowASKAPClickHouseTensorFlowXcompact3d Incompact3dLuxCoreRenderTensorFlowVVenCPennantOpenVINOIntel Open Image DenoiseClickHouse7-Zip CompressionTensorFlowSVT-AV1ClickHouseuvg266TensorFlowPyTorchSVT-AV1KvazaarTensorFlowTensorFlowBlenderIntel Open Image DenoiseIntel Open Image DenoiseGPAWDDR5-4800DDR5-6000

AMD EPYC 9755 DDR5 Turin Memory Performancebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-ffmpeg: Time To Compilebuild-godot: Time To Compilebuild-nodejs: Time To Compilebuild-gem5: Time To Compilebuild-llvm: Ninjabuild-mesa: Time To Compilebuild-imagemagick: Time To Compileopenssl: RSA4096openssl: RSA4096openssl: SHA256openssl: SHA512openssl: AES-128-GCMopenssl: AES-256-GCMopenssl: ChaCha20openssl: ChaCha20-Poly1305john-the-ripper: Blowfishjohn-the-ripper: bcryptjohn-the-ripper: WPA PSKapache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 500 - 100 - 800 - 400apache-iotdb: 800 - 100 - 800 - 100apache-iotdb: 800 - 100 - 800 - 100clickhouse: 100M Rows Hits Dataset, First Run / Cold Cacheclickhouse: 100M Rows Hits Dataset, Second Runclickhouse: 100M Rows Hits Dataset, Third Runpgbench: 100 - 1000 - Read Writepgbench: 100 - 1000 - Read Write - Average Latencypgbench: 100 - 1000 - Read Onlypgbench: 100 - 1000 - Read Only - Average Latencymemcached: 1:100rocksdb: Rand Readrocksdb: Read While Writingspeedb: Rand Readspeedb: Read While Writingsecuremark: SecureMark-TLScoremark: CoreMark Size 666 - Iterations Per Secondamg: wrf: conus 2.5kmmt-dgemm: Sustained Floating-Point Ratelulesh: minibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2lammps: Rhodopsin Proteinlammps: 20k Atomsm-queens: Time To Solveminife: Smallaskap: tConvolve MPI - Degriddingaskap: tConvolve MPI - Griddingaskap: tConvolve MT - Griddingnamd: ATPase with 327,506 Atomsnamd: STMV with 1,066,628 Atomsgromacs: MPI CPU - water_GMX50_barecloverleaf: clover_bm64_shortcloverleaf: clover_bm16quantlib: Single-Threadedquantlib: Multi-Threadedqmcpack: Li2_STO_aegpaw: Carbon Nanotubehpcg: 144 144 144 - 60pennant: leblancbignpb: LU.Cnpb: SP.Cnpb: IS.Dnpb: MG.Cnpb: CG.Cnwchem: C240 Buckyballincompact3d: input.i3d 193 Cells Per Directionincompact3d: X3D-benchmarking input.i3dbrl-cad: VGR Performance Metricopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenradioss: Cell Phone Drop Testopenradioss: 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: Disney Materialluxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUluxcorerender: Orange Juice - CPUospray: gravity_spheres_volume/dim_512/pathtracer/real_timeospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 3 - 4K - 32 - Path Tracer - CPUembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objembree: Pathtracer ISPC - Crownoidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlyopenvkl: vklBenchmarkCPU ISPCcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingcompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressioncompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedpybench: Total For Average Test Timesnumpy: svt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 4Kx265: Bosphorus 4Kkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 4K - Very Fastuvg266: Bosphorus 4K - Slowuvg266: Bosphorus 4K - Mediumuvg266: Bosphorus 4K - Very Fastffmpeg: libx265 - Uploadffmpeg: libx265 - Platformffmpeg: libx265 - Video On Demandvvenc: Bosphorus 4K - Fastvvenc: Bosphorus 4K - Fasterwebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessastcenc: Mediumastcenc: Thoroughastcenc: Very Thoroughastcenc: Exhaustivegraphics-magick: Noise-Gaussiangraphics-magick: Enhancedgraphics-magick: Sharpengraphics-magick: Swirlliquid-dsp: 1 - 256 - 32liquid-dsp: 1 - 256 - 57liquid-dsp: 1 - 256 - 512liquid-dsp: 64 - 256 - 32liquid-dsp: 64 - 256 - 57liquid-dsp: 64 - 256 - 512liquid-dsp: 128 - 256 - 32liquid-dsp: 128 - 256 - 57liquid-dsp: 128 - 256 - 512liquid-dsp: 256 - 256 - 32liquid-dsp: 256 - 256 - 57liquid-dsp: 256 - 256 - 512srsran: PUSCH Processor Benchmark, Throughput Totalsrsran: PUSCH Processor Benchmark, Throughput Threadsrsran: PDSCH Processor Benchmark, Throughput Totalsrsran: PDSCH Processor Benchmark, Throughput Threadtensorflow: CPU - 1 - ResNet-50tensorflow: CPU - 1 - AlexNettensorflow: CPU - 1 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 64 - AlexNettensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 256 - AlexNettensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 512 - ResNet-50tensorflow: CPU - 512 - AlexNettensorflow: CPU - 512 - GoogLeNetpytorch: CPU - 1 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 64 - ResNet-50pytorch: CPU - 64 - ResNet-152pytorch: CPU - 256 - ResNet-50pytorch: CPU - 256 - ResNet-152pytorch: CPU - 512 - ResNet-50pytorch: CPU - 512 - ResNet-152openvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUonednn: Deconvolution Batch shapes_3d - CPUonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: GPT-2 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: CaffeNet 12-int8 - CPU - Parallelonnx: T5 Encoder - CPU - Standardonnx: T5 Encoder - CPU - Standardllamafile: llava-v1.5-7b-q4 - CPUllamafile: wizardcoder-python-34b-v1.0.Q6_K - CPUoctave-benchmark: xmrig: GhostRider - 1Mhelsing: 14 digitstockfish: Chess Benchmarkprimesieve: 1e12primesieve: 1e13y-cruncher: 500My-cruncher: 1Baskap: tConvolve MT - DegriddingDDR5-4800DDR5-600023.467198.89813.92384.720110.550130.54389.64513.65810.01269052.52757741.0186789819953729362357532003313098753183969943652311873151479378075884256373223963224061360000118270441225.7013312801057.58680.81693.77704.361273107.85553645770.18713455536.7279339038516817111818556768188264314077596019991.22113626984760006206.69255.87383135386.9359597.529383.9019655.075386.20355.15068.4795.45459008.466651.468467.414143.314.036474.5470722.50825.79209.964252.2464193.278.80424.30053.73572.856528383603.91172595.777995.28149191.0388719.531328.96.79525073222.622462584838022.89573420.549922177.1126117.7473.7085.369.6324.2112.5329.9087.2812.9830.49946721.2013.9330.8354.960354.376554.571464210200204287581206324131219.9997188.9994178.51585.725.732.7736148829368456310.94111821.41721.510.21627.7582796.77265.847274.068117.85411.25534.0853.4353.9994.7139.2543.9676.3532.5767.1467.059.71922.8833.880.6747.55224.8132.0064.2563.452697.1942110.034715.71299.65763144574068654406300068321333231643332783133333329893333314462666675424133333583480000024845333338463100000819616666728556000008056.3183.319592.6990.46.9626.1222.94134.501071.51355.14195.892223.51641.12231.712644.59780.7351.6120.4743.0717.7743.2417.5842.8417.53194.14328.94192115.850.48674.4694.7718679.636.6111196.675.638681.627.271043.3161.2431630.963.874776.6626.653224.7219.7313918.744.499833.4711.090.50785012.089182.715314.416869.36473.23367309.342195.1685.1225524.586840.6694192.3525.1967243.631622.938441.365524.1746957.0641.04331234.1404.2700729.549.714.66318386.443.4433086925811.55917.9554.8438.11322665.123.344201.75513.97883.293109.561128.13288.89313.6699.86869037.72755042.3186660393313723597672402007365351470183776585074711863592944508070098414273230103230001361333117516797225.8713421067157.30698.12729.56724.641263347.91654186720.18513316660.1078689658017063021822102828186878974054546042366.34304731770820005574.36356.40889037645.9739647.496385.9009654.576386.18355.79167.7765.49269057.170762.874093.316464.114.244934.6227722.72922.09178.934264.7465436.879.02023.82263.67082.761260385558.53194853.918647.62167026.9388208.361326.26.47804538199.844589589905521.4414620.597089160.3737817.8773.6777.269.4624.0012.5029.7586.6212.7130.69244120.9413.9632.0255.176254.392754.395863910154203797531198223981223.2053191.7839179.44945.845.852.8536549081598467360.93489621.81726.410.21636.4582795.83271.924281.589118.16311.27534.2153.4253.9596.8139.1443.8578.2332.3466.6066.519.81023.7433.900.6847.46524.7972.0034.2213.459701.7315110.038315.71959.65763134554038514405400068181667230936672784566667329940000014425000005407600000587656666724874000008494733333815190000028554666677954.2183.319454.1994.07.1125.9322.69137.621086.48361.38203.332271.95659.11246.242665.92819.0551.2020.2443.6817.4643.6117.4243.8317.49193.80329.53190777.830.48733.8087.1418679.366.6111232.265.628730.887.221109.7557.5731655.573.884774.3326.673287.4319.3613949.894.4810557.1610.730.51341712.067882.865114.551168.71963.22956309.757194.2645.1462924.539140.7506194.2685.1453944.199922.658641.205224.2683969.2811.02998236.4684.2282330.0110.644.61019873.043.0573073439231.55317.9684.8778.17327297.4OpenBenchmarking.org

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: defconfigDDR5-4800DDR5-6000612182430SE +/- 0.19, N = 3SE +/- 0.13, N = 323.4723.34

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: allmodconfigDDR5-4800DDR5-60004080120160200SE +/- 1.43, N = 3SE +/- 0.88, N = 3198.90201.76

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 7.0Time To CompileDDR5-4800DDR5-600048121620SE +/- 0.05, N = 3SE +/- 0.07, N = 413.9213.98

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 CompileDDR5-4800DDR5-600020406080100SE +/- 0.27, N = 3SE +/- 0.10, N = 384.7283.29

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 CompileDDR5-4800DDR5-600020406080100SE +/- 0.13, N = 3SE +/- 0.21, N = 3110.55109.56

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 CompileDDR5-4800DDR5-6000306090120150SE +/- 1.70, N = 3SE +/- 1.52, N = 3130.54128.13

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: NinjaDDR5-4800DDR5-600020406080100SE +/- 0.30, N = 3SE +/- 0.32, N = 389.6588.89

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 CompileDDR5-4800DDR5-600048121620SE +/- 0.07, N = 3SE +/- 0.07, N = 413.6613.67

Timed ImageMagick Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed ImageMagick Compilation 6.9.0Time To CompileDDR5-4800DDR5-60003691215SE +/- 0.051, N = 3SE +/- 0.013, N = 510.0129.868

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: RSA4096DDR5-4800DDR5-600015K30K45K60K75KSE +/- 80.51, N = 3SE +/- 15.58, N = 369052.569037.71. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096DDR5-4800DDR5-6000600K1200K1800K2400K3000KSE +/- 282.94, N = 3SE +/- 331.00, N = 32757741.02755042.31. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256DDR5-4800DDR5-600040000M80000M120000M160000M200000MSE +/- 316551135.30, N = 3SE +/- 76407988.26, N = 31867898199531866603933131. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512DDR5-4800DDR5-600016000M32000M48000M64000M80000MSE +/- 495890924.48, N = 3SE +/- 163780192.60, N = 372936235753723597672401. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMDDR5-4800DDR5-6000400000M800000M1200000M1600000M2000000MSE +/- 798384586.01, N = 3SE +/- 679943093.73, N = 3200331309875320073653514701. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMDDR5-4800DDR5-6000400000M800000M1200000M1600000M2000000MSE +/- 686739707.21, N = 3SE +/- 2482404044.78, N = 3183969943652318377658507471. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20DDR5-4800DDR5-6000300000M600000M900000M1200000M1500000MSE +/- 227575784.55, N = 3SE +/- 507390352.95, N = 3118731514793711863592944501. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305DDR5-4800DDR5-6000200000M400000M600000M800000M1000000MSE +/- 318743927.24, N = 3SE +/- 89801965.81, N = 38075884256378070098414271. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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: BlowfishDDR5-4800DDR5-600070K140K210K280K350KSE +/- 53.65, N = 3SE +/- 53.35, N = 33223963230101. (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: bcryptDDR5-4800DDR5-600070K140K210K280K350KSE +/- 44.46, N = 3SE +/- 45.32, N = 33224063230001. (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 PSKDDR5-4800DDR5-6000300K600K900K1200K1500KSE +/- 1527.53, N = 3SE +/- 1201.85, N = 3136000013613331. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt -lbz2

Apache IoTDB

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

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400DDR5-4800DDR5-600030M60M90M120M150MSE +/- 266876.94, N = 3SE +/- 120972.23, N = 3118270441117516797

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400DDR5-4800DDR5-600050100150200250SE +/- 1.40, N = 3SE +/- 0.92, N = 3225.70225.87MAX: 26697.41MAX: 26595.42

OpenBenchmarking.orgpoint/sec, More Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100DDR5-4800DDR5-600030M60M90M120M150MSE +/- 33011.72, N = 3SE +/- 338573.54, N = 3133128010134210671

OpenBenchmarking.orgAverage Latency, Fewer Is BetterApache IoTDB 1.2Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100DDR5-4800DDR5-60001326395265SE +/- 0.13, N = 3SE +/- 0.13, N = 357.5857.30MAX: 23818.56MAX: 23846.01

ClickHouse

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

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, First Run / Cold CacheDDR5-4800DDR5-6000150300450600750SE +/- 4.99, N = 3SE +/- 6.12, N = 3680.81698.12MIN: 82.42 / MAX: 6666.67MIN: 80.86 / MAX: 6666.67

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Second RunDDR5-4800DDR5-6000160320480640800SE +/- 2.33, N = 3SE +/- 5.27, N = 3693.77729.56MIN: 84.27 / MAX: 6666.67MIN: 81.63 / MAX: 7500

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.12.3.5100M Rows Hits Dataset, Third RunDDR5-4800DDR5-6000160320480640800SE +/- 2.37, N = 3SE +/- 4.70, N = 3704.36724.64MIN: 83.45 / MAX: 6666.67MIN: 85.11 / MAX: 6666.67

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: 1000 - Mode: Read WriteDDR5-4800DDR5-600030K60K90K120K150KSE +/- 154.18, N = 3SE +/- 68.35, N = 31273101263341. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Write - Average LatencyDDR5-4800DDR5-6000246810SE +/- 0.010, N = 3SE +/- 0.004, N = 37.8557.9161. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read OnlyDDR5-4800DDR5-60001.2M2.4M3.6M4.8M6MSE +/- 27253.44, N = 3SE +/- 39392.13, N = 3536457754186721. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 16Scaling Factor: 100 - Clients: 1000 - Mode: Read Only - Average LatencyDDR5-4800DDR5-60000.04210.08420.12630.16840.2105SE +/- 0.001, N = 3SE +/- 0.001, N = 30.1870.1851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lm

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: 1:100DDR5-4800DDR5-60003M6M9M12M15MSE +/- 14934.26, N = 3SE +/- 136953.60, N = 313455536.7213316660.101. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random ReadDDR5-4800DDR5-6000200M400M600M800M1000MSE +/- 225348.54, N = 3SE +/- 5260460.78, N = 37933903857868965801. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read While WritingDDR5-4800DDR5-60004M8M12M16M20MSE +/- 233412.71, N = 15SE +/- 241581.30, N = 1516817111170630211. (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 ReadDDR5-4800DDR5-6000200M400M600M800M1000MSE +/- 4175835.13, N = 3SE +/- 707549.54, N = 38185567688221028281. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While WritingDDR5-4800DDR5-60004M8M12M16M20MSE +/- 78558.58, N = 3SE +/- 433421.14, N = 1218826431186878971. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

SecureMark

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

OpenBenchmarking.orgmarks, More Is BetterSecureMark 1.0.4Benchmark: SecureMark-TLSDDR5-4800DDR5-600090K180K270K360K450KSE +/- 2301.56, N = 3SE +/- 809.78, N = 34077594054541. (CC) gcc options: -pedantic -O3

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondDDR5-4800DDR5-60001.3M2.6M3.9M5.2M6.5MSE +/- 24560.32, N = 3SE +/- 10789.95, N = 36019991.226042366.341. (CC) gcc options: -O2 -lrt" -lrt

Google SynthMark

SynthMark is a cross platform tool for benchmarking CPU performance under a variety of real-time audio workloads. It uses a polyphonic synthesizer model to provide standardized tests for latency, jitter and computational throughput. Learn more via the OpenBenchmarking.org test page.

Test: VoiceMark_100

DDR5-4800: The test run did not produce a result.

DDR5-6000: The test run did not produce a result.

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2DDR5-4800DDR5-6000700M1400M2100M2800M3500MSE +/- 2882733.14, N = 3SE +/- 6342005.91, N = 3269847600031770820001. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -lmpi

WRF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWRF 4.2.2Input: conus 2.5kmDDR5-4800DDR5-6000130026003900520065006206.695574.361. (F9X) gfortran options: -O2 -ftree-vectorize -funroll-loops -ffree-form -fconvert=big-endian -frecord-marker=4 -fallow-invalid-boz -lesmf_time -lwrfio_nf -lnetcdff -lnetcdf -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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 RateDDR5-4800DDR5-60001326395265SE +/- 0.31, N = 3SE +/- 0.18, N = 855.8756.411. (CC) gcc options: -O3 -march=native -fopenmp

LULESH

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

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3DDR5-4800DDR5-60008K16K24K32K40KSE +/- 386.37, N = 15SE +/- 450.61, N = 1535386.9437645.971. (CXX) g++ options: -O3 -fopenmp -lm -lmpi_cxx -lmpi

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: BM1DDR5-4800DDR5-60002K4K6K8K10KSE +/- 84.72, N = 15SE +/- 66.65, N = 119597.539647.501. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1DDR5-4800DDR5-600080160240320400SE +/- 3.39, N = 15SE +/- 2.67, N = 11383.90385.901. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2DDR5-4800DDR5-60002K4K6K8K10KSE +/- 75.53, N = 3SE +/- 76.86, N = 49655.089654.581. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2DDR5-4800DDR5-600080160240320400SE +/- 3.02, N = 3SE +/- 3.07, N = 4386.20386.181. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -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 ProteinDDR5-4800DDR5-60001326395265SE +/- 0.61, N = 3SE +/- 0.31, N = 1055.1555.791. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsDDR5-4800DDR5-60001530456075SE +/- 0.58, N = 3SE +/- 0.06, N = 368.4867.781. (CXX) g++ options: -O3 -lm -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 SolveDDR5-4800DDR5-60001.23572.47143.70714.94286.1785SE +/- 0.036, N = 3SE +/- 0.025, N = 75.4545.4921. (CXX) g++ options: -fopenmp -O2 -march=native

miniFE

MiniFE Finite Element is an application for unstructured implicit finite element codes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgCG Mflops, More Is BetterminiFE 2.2Problem Size: SmallDDR5-4800DDR5-600015K30K45K60K75KSE +/- 20.01, N = 3SE +/- 78.85, N = 659008.469057.11. (CXX) g++ options: -O3 -fopenmp -lmpi_cxx -lmpi

ASKAP

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

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingDDR5-4800DDR5-600015K30K45K60K75KSE +/- 610.89, N = 3SE +/- 395.30, N = 366651.470762.81. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingDDR5-4800DDR5-600016K32K48K64K80KSE +/- 752.40, N = 3SE +/- 438.43, N = 368467.474093.31. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingDDR5-4800DDR5-60004K8K12K16K20KSE +/- 9.34, N = 3SE +/- 0.00, N = 314143.316464.11. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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 AtomsDDR5-4800DDR5-600048121620SE +/- 0.02, N = 3SE +/- 0.03, N = 714.0414.24

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 AtomsDDR5-4800DDR5-60001.04012.08023.12034.16045.2005SE +/- 0.01366, N = 3SE +/- 0.00697, N = 34.547074.62277

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareDDR5-4800DDR5-6000510152025SE +/- 0.02, N = 3SE +/- 0.04, N = 322.5122.731. (CXX) g++ options: -O3 -lm

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_bm64_shortDDR5-4800DDR5-6000612182430SE +/- 0.11, N = 3SE +/- 0.07, N = 325.7922.091. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

OpenBenchmarking.orgSeconds, Fewer Is BetterCloverLeaf 1.3Input: clover_bm16DDR5-4800DDR5-600050100150200250SE +/- 0.08, N = 3SE +/- 0.24, N = 3209.96178.931. (F9X) gfortran options: -O3 -march=native -funroll-loops -fopenmp

QuantLib

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

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Single-ThreadedDDR5-4800DDR5-60009001800270036004500SE +/- 45.37, N = 3SE +/- 40.37, N = 34252.24264.71. (CXX) g++ options: -O3 -march=native -fPIE -pie

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedDDR5-4800DDR5-6000100K200K300K400K500KSE +/- 649.08, N = 3SE +/- 401.79, N = 3464193.2465436.81. (CXX) g++ options: -O3 -march=native -fPIE -pie

QMCPACK

QMCPACK is a modern high-performance open-source Quantum Monte Carlo (QMC) simulation code making use of MPI for this benchmark of the H20 example code. QMCPACK is an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids. QMCPACK is supported by the U.S. Department of Energy. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Execution Time - Seconds, Fewer Is BetterQMCPACK 3.17.1Input: Li2_STO_aeDDR5-4800DDR5-600020406080100SE +/- 0.54, N = 3SE +/- 0.27, N = 378.8079.021. (CXX) g++ options: -fopenmp -foffload=disable -finline-limit=1000 -fstrict-aliasing -funroll-all-loops -ffast-math -march=native -O3 -lm -ldl

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 NanotubeDDR5-4800DDR5-6000612182430SE +/- 0.13, N = 3SE +/- 0.10, N = 324.3023.821. (CC) gcc options: -shared -lxc -lblas -lmpi

High Performance Conjugate Gradient

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1X Y Z: 144 144 144 - RT: 60DDR5-4800DDR5-60001428425670SE +/- 0.01, N = 3SE +/- 0.01, N = 353.7463.671. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -lmpi_cxx -lmpi

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: leblancbigDDR5-4800DDR5-60000.64271.28541.92812.57083.2135SE +/- 0.001976, N = 3SE +/- 0.045208, N = 152.8565282.7612601. (CXX) g++ options: -fopenmp -lmpi_cxx -lmpi

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: LU.CDDR5-4800DDR5-600080K160K240K320K400KSE +/- 5209.32, N = 12SE +/- 5529.34, N = 15383603.91385558.531. (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.CDDR5-4800DDR5-600040K80K120K160K200KSE +/- 1358.70, N = 3SE +/- 878.07, N = 5172595.77194853.911. (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: IS.DDDR5-4800DDR5-60002K4K6K8K10KSE +/- 34.68, N = 3SE +/- 55.66, N = 67995.288647.621. (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: MG.CDDR5-4800DDR5-600040K80K120K160K200KSE +/- 239.36, N = 3SE +/- 1302.88, N = 15149191.03167026.931. (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: CG.CDDR5-4800DDR5-600020K40K60K80K100KSE +/- 1060.91, N = 3SE +/- 618.06, N = 1588719.5388208.361. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.6

NWChem

NWChem is an open-source high performance computational chemistry package. Per NWChem's documentation, "NWChem aims to provide its users with computational chemistry tools that are scalable both in their ability to treat large scientific computational chemistry problems efficiently, and in their use of available parallel computing resources from high-performance parallel supercomputers to conventional workstation clusters." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNWChem 7.0.2Input: C240 BuckyballDDR5-4800DDR5-6000300600900120015001328.91326.21. (F9X) gfortran options: -lnwctask -lccsd -lmcscf -lselci -lmp2 -lmoints -lstepper -ldriver -loptim -lnwdft -lgradients -lcphf -lesp -lddscf -ldangchang -lguess -lhessian -lvib -lnwcutil -lrimp2 -lproperty -lsolvation -lnwints -lprepar -lnwmd -lnwpw -lofpw -lpaw -lpspw -lband -lnwpwlib -lcafe -lspace -lanalyze -lqhop -lpfft -ldplot -ldrdy -lvscf -lqmmm -lqmd -letrans -ltce -lbq -lmm -lcons -lperfm -ldntmc -lccca -ldimqm -lga -larmci -lpeigs -l64to32 -lopenblas -lpthread -lrt -llapack -lnwcblas -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz -lcomex -m64 -ffast-math -std=legacy -fdefault-integer-8 -finline-functions -O2

Xcompact3d Incompact3d

Xcompact3d Incompact3d is a Fortran-MPI based, finite difference high-performance code for solving the incompressible Navier-Stokes equation and as many as you need scalar transport equations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: input.i3d 193 Cells Per DirectionDDR5-4800DDR5-6000246810SE +/- 0.01024398, N = 3SE +/- 0.01274608, N = 66.795250736.478045381. (F9X) gfortran options: -cpp -O2 -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OpenBenchmarking.orgSeconds, Fewer Is BetterXcompact3d Incompact3d 2021-03-11Input: X3D-benchmarking input.i3dDDR5-4800DDR5-600050100150200250SE +/- 0.04, N = 3SE +/- 0.78, N = 3222.62199.841. (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

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 MetricDDR5-4800DDR5-60001.3M2.6M3.9M5.2M6.5M584838058990551. (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

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 TimeDDR5-4800DDR5-600051015202522.9021.441. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeDDR5-4800DDR5-600051015202520.5520.601. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeDDR5-4800DDR5-60004080120160200177.11160.371. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -lfiniteVolume -lmeshTools -lparallel -llagrangian -lregionModels -lgenericPatchFields -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: Cell Phone Drop TestDDR5-4800DDR5-600048121620SE +/- 0.12, N = 3SE +/- 0.16, N = 317.7417.87

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: INIVOL and Fluid Structure Interaction Drop ContainerDDR5-4800DDR5-60001632486480SE +/- 0.35, N = 3SE +/- 0.07, N = 373.7073.67

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Chrysler Neon 1MDDR5-4800DDR5-600020406080100SE +/- 0.19, N = 3SE +/- 0.11, N = 385.3677.26

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-OnlyDDR5-4800DDR5-60003691215SE +/- 0.08, N = 3SE +/- 0.01, N = 59.639.46

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-OnlyDDR5-4800DDR5-6000612182430SE +/- 0.04, N = 3SE +/- 0.05, N = 324.2124.00

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-OnlyDDR5-4800DDR5-60003691215SE +/- 0.05, N = 3SE +/- 0.01, N = 412.5312.50

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-OnlyDDR5-4800DDR5-6000714212835SE +/- 0.10, N = 3SE +/- 0.06, N = 329.9029.75

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-OnlyDDR5-4800DDR5-600020406080100SE +/- 0.08, N = 3SE +/- 0.12, N = 387.2886.62

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-OnlyDDR5-4800DDR5-60003691215SE +/- 0.08, N = 3SE +/- 0.03, N = 412.9812.71

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialDDR5-4800DDR5-600071421283530.5030.69

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUDDR5-4800DDR5-6000510152025SE +/- 0.38, N = 15SE +/- 0.33, N = 1521.2020.94MIN: 19.48 / MAX: 27.07MIN: 19.5 / MAX: 27

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUDDR5-4800DDR5-600048121620SE +/- 0.15, N = 15SE +/- 0.14, N = 1513.9313.96MIN: 6.46 / MAX: 16.83MIN: 6.55 / MAX: 16.95

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUDDR5-4800DDR5-6000714212835SE +/- 0.41, N = 15SE +/- 0.52, N = 1530.8332.02MIN: 26.09 / MAX: 42.8MIN: 26.48 / MAX: 43.04

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeDDR5-4800DDR5-60001224364860SE +/- 0.02, N = 3SE +/- 0.01, N = 354.9655.18

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeDDR5-4800DDR5-60001224364860SE +/- 0.01, N = 3SE +/- 0.02, N = 354.3854.39

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeDDR5-4800DDR5-60001224364860SE +/- 0.02, N = 3SE +/- 0.01, N = 354.5754.40

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: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDDR5-4800DDR5-6000140280420560700SE +/- 0.33, N = 3SE +/- 0.33, N = 3642639

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDDR5-4800DDR5-60002K4K6K8K10KSE +/- 7.81, N = 3SE +/- 3.71, N = 31020010154

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDDR5-4800DDR5-60004K8K12K16K20KSE +/- 13.58, N = 3SE +/- 39.68, N = 32042820379

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUDDR5-4800DDR5-6000160320480640800SE +/- 0.67, N = 3SE +/- 0.58, N = 3758753

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUDDR5-4800DDR5-60003K6K9K12K15KSE +/- 11.86, N = 3SE +/- 14.19, N = 31206311982

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUDDR5-4800DDR5-60005K10K15K20K25KSE +/- 51.91, N = 3SE +/- 32.92, N = 32413123981

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 DragonDDR5-4800DDR5-600050100150200250SE +/- 0.10, N = 3SE +/- 0.06, N = 8220.00223.21MIN: 216.78 / MAX: 224.82MIN: 219.93 / MAX: 227.73

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjDDR5-4800DDR5-60004080120160200SE +/- 0.10, N = 3SE +/- 0.14, N = 5189.00191.78MIN: 186.02 / MAX: 192.57MIN: 188.36 / MAX: 196.2

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownDDR5-4800DDR5-60004080120160200SE +/- 0.40, N = 3SE +/- 0.11, N = 8178.52179.45MIN: 174.12 / MAX: 184.84MIN: 175.01 / MAX: 186.64

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.hdr_alb_nrm.3840x2160 - Device: CPU-OnlyDDR5-4800DDR5-60001.3142.6283.9425.2566.57SE +/- 0.01, N = 3SE +/- 0.01, N = 75.725.84

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyDDR5-4800DDR5-60001.31632.63263.94895.26526.5815SE +/- 0.00, N = 3SE +/- 0.00, N = 75.735.85

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-OnlyDDR5-4800DDR5-60000.64131.28261.92392.56523.2065SE +/- 0.00, N = 3SE +/- 0.00, N = 52.772.85

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 ISPCDDR5-4800DDR5-60008001600240032004000SE +/- 1.45, N = 3SE +/- 0.88, N = 336143654MIN: 293 / MAX: 42496MIN: 293 / MAX: 42376

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingDDR5-4800DDR5-6000200K400K600K800K1000KSE +/- 2814.63, N = 3SE +/- 3530.77, N = 38829369081591. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingDDR5-4800DDR5-6000200K400K600K800K1000KSE +/- 719.43, N = 3SE +/- 276.36, N = 38456318467361. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 CompressionDDR5-4800DDR5-60000.21180.42360.63540.84721.059SE +/- 0.009629, N = 15SE +/- 0.010948, N = 150.9411180.9348961. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedDDR5-4800DDR5-6000510152025SE +/- 0.06, N = 3SE +/- 0.12, N = 321.421.81. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedDDR5-4800DDR5-6000400800120016002000SE +/- 6.51, N = 3SE +/- 8.42, N = 31721.51726.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedDDR5-4800DDR5-60003691215SE +/- 0.06, N = 3SE +/- 0.00, N = 310.210.21. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedDDR5-4800DDR5-6000400800120016002000SE +/- 4.80, N = 3SE +/- 1.50, N = 31627.71636.41. (CC) gcc options: -O3 -pthread -lz -llzma

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 TimesDDR5-4800DDR5-6000130260390520650SE +/- 3.93, N = 3SE +/- 1.70, N = 4582582

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 BenchmarkDDR5-4800DDR5-60002004006008001000SE +/- 1.53, N = 3SE +/- 1.03, N = 3796.77795.83

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 4KDDR5-4800DDR5-600060120180240300SE +/- 9.35, N = 12SE +/- 7.58, N = 15265.85271.921. (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 4KDDR5-4800DDR5-600060120180240300SE +/- 2.96, N = 5SE +/- 2.17, N = 9274.07281.591. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4KDDR5-4800DDR5-6000306090120150SE +/- 1.05, N = 15SE +/- 1.10, N = 7117.85118.161. (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 4KDDR5-4800DDR5-60003691215SE +/- 0.05, N = 3SE +/- 0.04, N = 411.2611.281. (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 3.6Video Input: Bosphorus 4KDDR5-4800DDR5-6000816243240SE +/- 0.08, N = 3SE +/- 0.11, N = 334.0834.211. (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 4K - Video Preset: SlowDDR5-4800DDR5-60001224364860SE +/- 0.09, N = 3SE +/- 0.06, N = 553.4353.421. (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: MediumDDR5-4800DDR5-60001224364860SE +/- 0.01, N = 3SE +/- 0.01, N = 553.9953.951. (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 FastDDR5-4800DDR5-600020406080100SE +/- 1.24, N = 3SE +/- 0.49, N = 794.7196.811. (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 4K - Video Preset: SlowDDR5-4800DDR5-6000918273645SE +/- 0.08, N = 3SE +/- 0.09, N = 439.2539.14

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: MediumDDR5-4800DDR5-60001020304050SE +/- 0.05, N = 3SE +/- 0.04, N = 443.9643.85

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastDDR5-4800DDR5-600020406080100SE +/- 0.27, N = 3SE +/- 0.14, N = 676.3578.23

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 7.0Encoder: libx265 - Scenario: UploadDDR5-4800DDR5-6000816243240SE +/- 0.02, N = 3SE +/- 0.04, N = 332.5732.341. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: PlatformDDR5-4800DDR5-60001530456075SE +/- 0.02, N = 3SE +/- 0.06, N = 367.1466.601. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Video On DemandDDR5-4800DDR5-60001530456075SE +/- 0.05, N = 3SE +/- 0.01, N = 367.0566.511. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastDDR5-4800DDR5-60003691215SE +/- 0.040, N = 3SE +/- 0.028, N = 39.7199.8101. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterDDR5-4800DDR5-6000612182430SE +/- 0.04, N = 3SE +/- 0.02, N = 322.8823.741. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionDDR5-4800DDR5-60000.87751.7552.63253.514.3875SE +/- 0.01, N = 3SE +/- 0.01, N = 73.883.901. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionDDR5-4800DDR5-60000.1530.3060.4590.6120.765SE +/- 0.00, N = 3SE +/- 0.00, N = 30.670.681. (CC) gcc options: -fvisibility=hidden -O2 -lm

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0DDR5-4800DDR5-60001122334455SE +/- 0.02, N = 3SE +/- 0.03, N = 347.5547.471. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2DDR5-4800DDR5-6000612182430SE +/- 0.01, N = 3SE +/- 0.03, N = 324.8124.801. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6DDR5-4800DDR5-60000.45140.90281.35421.80562.257SE +/- 0.006, N = 22.0062.0031. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, LosslessDDR5-4800DDR5-60000.95761.91522.87283.83044.788SE +/- 0.010, N = 3SE +/- 0.006, N = 84.2564.2211. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 10, LosslessDDR5-4800DDR5-60000.77831.55662.33493.11323.8915SE +/- 0.005, N = 3SE +/- 0.003, N = 93.4523.4591. (CXX) g++ options: -O3 -fPIC -lm

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: MediumDDR5-4800DDR5-6000150300450600750SE +/- 5.72, N = 3SE +/- 3.94, N = 8697.19701.731. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ThoroughDDR5-4800DDR5-600020406080100SE +/- 0.01, N = 3SE +/- 0.02, N = 6110.03110.041. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very ThoroughDDR5-4800DDR5-600048121620SE +/- 0.01, N = 3SE +/- 0.00, N = 315.7115.721. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: ExhaustiveDDR5-4800DDR5-60003691215SE +/- 0.0032, N = 3SE +/- 0.0004, N = 39.65769.65761. (CXX) g++ options: -O3 -flto -pthread

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: Noise-GaussianDDR5-4800DDR5-600070140210280350SE +/- 0.33, N = 3SE +/- 0.58, N = 33143131. (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: EnhancedDDR5-4800DDR5-6000100200300400500SE +/- 0.58, N = 3SE +/- 0.33, N = 34574551. (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: SharpenDDR5-4800DDR5-600090180270360450SE +/- 0.67, N = 3SE +/- 0.33, N = 34064031. (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: SwirlDDR5-4800DDR5-60002004006008001000SE +/- 1.53, N = 3SE +/- 0.33, N = 38658511. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lsharpyuv -lwebp -lwebpmux -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

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: 32DDR5-4800DDR5-60009M18M27M36M45MSE +/- 52003.21, N = 3SE +/- 3511.88, N = 344063000440540001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 57DDR5-4800DDR5-600015M30M45M60M75MSE +/- 65397.08, N = 3SE +/- 98289.26, N = 368321333681816671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512DDR5-4800DDR5-60005M10M15M20M25MSE +/- 333.33, N = 3SE +/- 13860.42, N = 323164333230936671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 32DDR5-4800DDR5-6000600M1200M1800M2400M3000MSE +/- 352766.84, N = 3SE +/- 233333.33, N = 3278313333327845666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 57DDR5-4800DDR5-6000700M1400M2100M2800M3500MSE +/- 693621.73, N = 3SE +/- 5392896.56, N = 3329893333332994000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 64 - Buffer Length: 256 - Filter Length: 512DDR5-4800DDR5-6000300M600M900M1200M1500MSE +/- 1386041.53, N = 3SE +/- 1960442.13, N = 3144626666714425000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 32DDR5-4800DDR5-60001200M2400M3600M4800M6000MSE +/- 166666.67, N = 3SE +/- 9856131.76, N = 3542413333354076000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 57DDR5-4800DDR5-60001300M2600M3900M5200M6500MSE +/- 19352605.34, N = 3SE +/- 20311928.62, N = 3583480000058765666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 128 - Buffer Length: 256 - Filter Length: 512DDR5-4800DDR5-6000500M1000M1500M2000M2500MSE +/- 1474599.76, N = 3SE +/- 1305118.13, N = 3248453333324874000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 32DDR5-4800DDR5-60002000M4000M6000M8000M10000MSE +/- 24860209.17, N = 3SE +/- 14339494.80, N = 3846310000084947333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 57DDR5-4800DDR5-60002000M4000M6000M8000M10000MSE +/- 3233333.33, N = 3SE +/- 6331139.97, N = 3819616666781519000001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 256 - Buffer Length: 256 - Filter Length: 512DDR5-4800DDR5-6000600M1200M1800M2400M3000MSE +/- 1059874.21, N = 3SE +/- 3925274.23, N = 3285560000028554666671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid

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 TotalDDR5-4800DDR5-60002K4K6K8K10KSE +/- 89.89, N = 15SE +/- 0.32, N = 38056.37954.2MIN: 5096.4 / MAX: 8588.6MIN: 5432.6 / MAX: 7954.61. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PUSCH Processor Benchmark, Throughput ThreadDDR5-4800DDR5-60004080120160200SE +/- 0.00, N = 3SE +/- 0.00, N = 4183.3183.3MIN: 105.8MIN: 105.81. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput TotalDDR5-4800DDR5-60004K8K12K16K20KSE +/- 180.03, N = 3SE +/- 214.06, N = 319592.619454.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput ThreadDDR5-4800DDR5-60002004006008001000SE +/- 10.21, N = 5SE +/- 2.19, N = 9990.4994.01. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: ResNet-50DDR5-4800DDR5-6000246810SE +/- 0.10, N = 15SE +/- 0.01, N = 36.967.11

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: AlexNetDDR5-4800DDR5-6000612182430SE +/- 0.12, N = 3SE +/- 0.16, N = 726.1225.93

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: GoogLeNetDDR5-4800DDR5-6000510152025SE +/- 0.14, N = 15SE +/- 0.16, N = 1522.9422.69

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50DDR5-4800DDR5-6000306090120150SE +/- 1.56, N = 4SE +/- 0.26, N = 3134.50137.62

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: AlexNetDDR5-4800DDR5-60002004006008001000SE +/- 11.67, N = 3SE +/- 3.83, N = 61071.511086.48

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: GoogLeNetDDR5-4800DDR5-600080160240320400SE +/- 3.12, N = 8SE +/- 2.87, N = 3355.14361.38

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: ResNet-50DDR5-4800DDR5-60004080120160200SE +/- 0.77, N = 3SE +/- 0.65, N = 3195.89203.33

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: AlexNetDDR5-4800DDR5-60005001000150020002500SE +/- 16.20, N = 3SE +/- 2.78, N = 42223.512271.95

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 256 - Model: GoogLeNetDDR5-4800DDR5-6000140280420560700SE +/- 6.10, N = 3SE +/- 7.40, N = 3641.12659.11

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: ResNet-50DDR5-4800DDR5-600050100150200250SE +/- 0.47, N = 3SE +/- 0.52, N = 3231.71246.24

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: AlexNetDDR5-4800DDR5-60006001200180024003000SE +/- 3.62, N = 3SE +/- 2.64, N = 32644.592665.92

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 512 - Model: GoogLeNetDDR5-4800DDR5-60002004006008001000SE +/- 3.88, N = 3SE +/- 3.19, N = 3780.73819.05

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-50DDR5-4800DDR5-60001224364860SE +/- 0.59, N = 3SE +/- 0.42, N = 351.6151.20MIN: 48.6 / MAX: 53.42MIN: 48.71 / MAX: 53.18

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 1 - Model: ResNet-152DDR5-4800DDR5-6000510152025SE +/- 0.12, N = 3SE +/- 0.07, N = 320.4720.24MIN: 19.75 / MAX: 20.95MIN: 19.69 / MAX: 20.76

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-50DDR5-4800DDR5-60001020304050SE +/- 0.05, N = 3SE +/- 0.27, N = 343.0743.68MIN: 41.33 / MAX: 43.96MIN: 41.7 / MAX: 44.98

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 64 - Model: ResNet-152DDR5-4800DDR5-600048121620SE +/- 0.16, N = 7SE +/- 0.12, N = 317.7717.46MIN: 16.6 / MAX: 18.47MIN: 16.79 / MAX: 17.99

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-50DDR5-4800DDR5-60001020304050SE +/- 0.36, N = 3SE +/- 0.29, N = 343.2443.61MIN: 41.12 / MAX: 44.61MIN: 41.9 / MAX: 45.08

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 256 - Model: ResNet-152DDR5-4800DDR5-600048121620SE +/- 0.14, N = 3SE +/- 0.19, N = 417.5817.42MIN: 16.88 / MAX: 18.01MIN: 16.53 / MAX: 18.16

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-50DDR5-4800DDR5-60001020304050SE +/- 0.03, N = 3SE +/- 0.13, N = 342.8443.83MIN: 41.63 / MAX: 44.31MIN: 41.6 / MAX: 45.11

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.2.1Device: CPU - Batch Size: 512 - Model: ResNet-152DDR5-4800DDR5-600048121620SE +/- 0.13, N = 3SE +/- 0.05, N = 317.5317.49MIN: 16.64 / MAX: 17.95MIN: 16.94 / MAX: 18.01

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUDDR5-4800DDR5-60004080120160200SE +/- 0.21, N = 3SE +/- 0.32, N = 3194.14193.801. (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: CPUDDR5-4800DDR5-600070140210280350SE +/- 0.37, N = 3SE +/- 0.54, N = 3328.94329.53MIN: 143.56 / MAX: 354.17MIN: 165.13 / MAX: 354.631. (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: CPUDDR5-4800DDR5-600040K80K120K160K200KSE +/- 417.74, N = 3SE +/- 1255.01, N = 3192115.85190777.831. (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: CPUDDR5-4800DDR5-60000.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.01, N = 30.480.48MIN: 0.13 / MAX: 26.21MIN: 0.13 / MAX: 26.241. (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: CPUDDR5-4800DDR5-6000160320480640800SE +/- 1.38, N = 3SE +/- 4.77, N = 15674.46733.801. (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: CPUDDR5-4800DDR5-600020406080100SE +/- 0.19, N = 3SE +/- 0.54, N = 1594.7787.14MIN: 40.52 / MAX: 153.33MIN: 35.35 / MAX: 200.151. (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: CPUDDR5-4800DDR5-60004K8K12K16K20KSE +/- 7.25, N = 3SE +/- 13.14, N = 318679.6318679.361. (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: CPUDDR5-4800DDR5-6000246810SE +/- 0.01, N = 3SE +/- 0.01, N = 36.616.61MIN: 2.24 / MAX: 27.98MIN: 2.25 / MAX: 28.151. (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: CPUDDR5-4800DDR5-60002K4K6K8K10KSE +/- 5.50, N = 3SE +/- 2.97, N = 311196.6711232.261. (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: CPUDDR5-4800DDR5-60001.26682.53363.80045.06726.334SE +/- 0.00, N = 3SE +/- 0.00, N = 35.635.62MIN: 2.39 / MAX: 30.13MIN: 2.01 / MAX: 29.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUDDR5-4800DDR5-60002K4K6K8K10KSE +/- 7.28, N = 3SE +/- 8.58, N = 38681.628730.881. (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: CPUDDR5-4800DDR5-6000246810SE +/- 0.01, N = 3SE +/- 0.01, N = 37.277.22MIN: 4.1 / MAX: 24.92MIN: 4.48 / MAX: 26.341. (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: CPUDDR5-4800DDR5-60002004006008001000SE +/- 6.77, N = 3SE +/- 2.99, N = 31043.311109.751. (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: CPUDDR5-4800DDR5-60001428425670SE +/- 0.40, N = 3SE +/- 0.16, N = 361.2457.57MIN: 27.85 / MAX: 106.26MIN: 34.99 / MAX: 106.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16-INT8 - Device: CPUDDR5-4800DDR5-60007K14K21K28K35KSE +/- 17.88, N = 3SE +/- 0.83, N = 331630.9631655.571. (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: CPUDDR5-4800DDR5-60000.8731.7462.6193.4924.365SE +/- 0.01, N = 3SE +/- 0.00, N = 33.873.88MIN: 1.54 / MAX: 25.35MIN: 1.55 / MAX: 24.231. (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: CPUDDR5-4800DDR5-600010002000300040005000SE +/- 1.24, N = 3SE +/- 5.09, N = 34776.664774.331. (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: CPUDDR5-4800DDR5-6000612182430SE +/- 0.00, N = 3SE +/- 0.03, N = 326.6526.67MIN: 15.32 / MAX: 48.24MIN: 15.22 / MAX: 47.891. (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: CPUDDR5-4800DDR5-60007001400210028003500SE +/- 2.32, N = 3SE +/- 2.87, N = 33224.723287.431. (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: CPUDDR5-4800DDR5-6000510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 319.7319.36MIN: 9.5 / MAX: 45.5MIN: 9.99 / MAX: 44.411. (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: CPUDDR5-4800DDR5-60003K6K9K12K15KSE +/- 2.75, N = 3SE +/- 14.83, N = 313918.7413949.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUDDR5-4800DDR5-60001.01032.02063.03094.04125.0515SE +/- 0.00, N = 3SE +/- 0.00, N = 34.494.48MIN: 1.96 / MAX: 20.97MIN: 1.99 / MAX: 22.311. (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: CPUDDR5-4800DDR5-60002K4K6K8K10KSE +/- 39.39, N = 3SE +/- 33.49, N = 39833.4710557.161. (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: CPUDDR5-4800DDR5-60003691215SE +/- 0.01, N = 3SE +/- 0.05, N = 311.0910.73MIN: 6.01 / MAX: 31.79MIN: 6.4 / MAX: 32.231. (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: Deconvolution Batch shapes_3d - Engine: CPUDDR5-4800DDR5-60000.11550.2310.34650.4620.5775SE +/- 0.000838, N = 3SE +/- 0.004859, N = 150.5078500.513417MIN: 0.48MIN: 0.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

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: StandardDDR5-4800DDR5-60003691215SE +/- 0.01, N = 3SE +/- 0.05, N = 312.0912.071. (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: yolov4 - Device: CPU - Executor: ParallelDDR5-4800DDR5-600048121620SE +/- 0.09, N = 3SE +/- 0.02, N = 314.4214.551. (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: fcn-resnet101-11 - Device: CPU - Executor: ParallelDDR5-4800DDR5-60000.72761.45522.18282.91043.638SE +/- 0.04063, N = 3SE +/- 0.04511, N = 33.233673.229561. (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: ParallelDDR5-4800DDR5-60004080120160200SE +/- 0.63, N = 3SE +/- 0.21, N = 3195.17194.261. (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: ParallelDDR5-4800DDR5-6000612182430SE +/- 0.04, N = 3SE +/- 0.13, N = 324.5924.541. (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: StandardDDR5-4800DDR5-60004080120160200SE +/- 0.96, N = 3SE +/- 0.38, N = 3192.35194.271. (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: StandardDDR5-4800DDR5-60001020304050SE +/- 0.36, N = 15SE +/- 0.48, N = 1543.6344.201. (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: ParallelDDR5-4800DDR5-6000918273645SE +/- 0.24, N = 3SE +/- 0.20, N = 341.3741.211. (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: ParallelDDR5-4800DDR5-60002004006008001000SE +/- 7.84, N = 3SE +/- 1.72, N = 3957.06969.281. (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: StandardDDR5-4800DDR5-600050100150200250SE +/- 1.66, N = 3SE +/- 1.36, N = 3234.14236.471. (CXX) g++ options: -O3 -march=native -ffunction-sections -fdata-sections -mtune=native -flto=auto -fno-fat-lto-objects -ldl -lrt

Llamafile

Mozilla's Llamafile allows distributing and running large language models (LLMs) as a single file. Llamafile aims to make open-source LLMs more accessible to developers and users. Llamafile supports a variety of models, CPUs and GPUs, and other options. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.7Test: llava-v1.5-7b-q4 - Acceleration: CPUDDR5-4800DDR5-6000714212835SE +/- 0.23, N = 3SE +/- 0.32, N = 529.5430.01

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.7Test: wizardcoder-python-34b-v1.0.Q6_K - Acceleration: CPUDDR5-4800DDR5-60003691215SE +/- 0.01, N = 3SE +/- 0.06, N = 39.7110.64

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 8.4.0DDR5-4800DDR5-60001.04922.09843.14764.19685.246SE +/- 0.010, N = 5SE +/- 0.010, N = 84.6634.610

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MDDR5-4800DDR5-60004K8K12K16K20KSE +/- 997.93, N = 15SE +/- 912.79, N = 1518386.419873.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Helsing

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitDDR5-4800DDR5-60001020304050SE +/- 0.11, N = 3SE +/- 0.13, N = 343.4443.061. (CC) gcc options: -O2 -pthread

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 16.1Chess BenchmarkDDR5-4800DDR5-600070M140M210M280M350MSE +/- 1906957.54, N = 3SE +/- 4338134.07, N = 153086925813073439231. (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 -mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto-partition=one -flto=jobserver

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: 1e12DDR5-4800DDR5-60000.35080.70161.05241.40321.754SE +/- 0.013, N = 3SE +/- 0.004, N = 121.5591.5531. (CXX) g++ options: -O3

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.1Length: 1e13DDR5-4800DDR5-600048121620SE +/- 0.01, N = 3SE +/- 0.02, N = 317.9617.971. (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: 500MDDR5-4800DDR5-60001.09732.19463.29194.38925.4865SE +/- 0.019, N = 3SE +/- 0.005, N = 64.8434.877

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1BDDR5-4800DDR5-6000246810SE +/- 0.013, N = 3SE +/- 0.015, N = 58.1138.173

ASKAP

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

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingDDR5-4800DDR5-60006K12K18K24K30KSE +/- 10.95, N = 3SE +/- 28.93, N = 322665.127297.41. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

227 Results Shown

Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed FFmpeg Compilation
Timed Godot Game Engine Compilation
Timed Node.js Compilation
Timed Gem5 Compilation
Timed LLVM Compilation
Timed Mesa Compilation
Timed ImageMagick Compilation
OpenSSL:
  RSA4096:
    sign/s
    verify/s
  SHA256:
    byte/s
  SHA512:
    byte/s
  AES-128-GCM:
    byte/s
  AES-256-GCM:
    byte/s
  ChaCha20:
    byte/s
  ChaCha20-Poly1305:
    byte/s
John The Ripper:
  Blowfish
  bcrypt
  WPA PSK
Apache IoTDB:
  500 - 100 - 800 - 400:
    point/sec
    Average Latency
  800 - 100 - 800 - 100:
    point/sec
    Average Latency
ClickHouse:
  100M Rows Hits Dataset, First Run / Cold Cache
  100M Rows Hits Dataset, Second Run
  100M Rows Hits Dataset, Third Run
PostgreSQL:
  100 - 1000 - Read Write
  100 - 1000 - Read Write - Average Latency
  100 - 1000 - Read Only
  100 - 1000 - Read Only - Average Latency
Memcached
RocksDB:
  Rand Read
  Read While Writing
Speedb:
  Rand Read
  Read While Writing
SecureMark
Coremark
Algebraic Multi-Grid Benchmark
WRF
ACES DGEMM
LULESH
miniBUDE:
  OpenMP - BM1:
    GFInst/s
    Billion Interactions/s
  OpenMP - BM2:
    GFInst/s
    Billion Interactions/s
LAMMPS Molecular Dynamics Simulator:
  Rhodopsin Protein
  20k Atoms
m-queens
miniFE
ASKAP:
  tConvolve MPI - Degridding
  tConvolve MPI - Gridding
  tConvolve MT - Gridding
NAMD:
  ATPase with 327,506 Atoms
  STMV with 1,066,628 Atoms
GROMACS
CloverLeaf:
  clover_bm64_short
  clover_bm16
QuantLib:
  Single-Threaded
  Multi-Threaded
QMCPACK
GPAW
High Performance Conjugate Gradient
Pennant
NAS Parallel Benchmarks:
  LU.C
  SP.C
  IS.D
  MG.C
  CG.C
NWChem
Xcompact3d Incompact3d:
  input.i3d 193 Cells Per Direction
  X3D-benchmarking input.i3d
BRL-CAD
OpenFOAM:
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Execution Time
OpenRadioss:
  Cell Phone Drop Test
  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
LuxCoreRender:
  DLSC - CPU
  LuxCore Benchmark - CPU
  Orange Juice - CPU
OSPRay:
  gravity_spheres_volume/dim_512/pathtracer/real_time
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 32 - Path Tracer - CPU
  3 - 4K - 1 - Path Tracer - CPU
  3 - 4K - 16 - Path Tracer - CPU
  3 - 4K - 32 - Path Tracer - CPU
Embree:
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
  Pathtracer ISPC - Crown
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
  RTLightmap.hdr.4096x4096 - CPU-Only
OpenVKL
7-Zip Compression:
  Compression Rating
  Decompression Rating
Parallel BZIP2 Compression
Zstd Compression:
  19 - Compression Speed
  19 - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed
PyBench
Numpy Benchmark
SVT-AV1:
  Preset 13 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 4 - Bosphorus 4K
x265
Kvazaar:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
uvg266:
  Bosphorus 4K - Slow
  Bosphorus 4K - Medium
  Bosphorus 4K - Very Fast
FFmpeg:
  libx265 - Upload
  libx265 - Platform
  libx265 - Video On Demand
VVenC:
  Bosphorus 4K - Fast
  Bosphorus 4K - Faster
WebP Image Encode:
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
libavif avifenc:
  0
  2
  6
  6, Lossless
  10, Lossless
ASTC Encoder:
  Medium
  Thorough
  Very Thorough
  Exhaustive
GraphicsMagick:
  Noise-Gaussian
  Enhanced
  Sharpen
  Swirl
Liquid-DSP:
  1 - 256 - 32
  1 - 256 - 57
  1 - 256 - 512
  64 - 256 - 32
  64 - 256 - 57
  64 - 256 - 512
  128 - 256 - 32
  128 - 256 - 57
  128 - 256 - 512
  256 - 256 - 32
  256 - 256 - 57
  256 - 256 - 512
srsRAN Project:
  PUSCH Processor Benchmark, Throughput Total
  PUSCH Processor Benchmark, Throughput Thread
  PDSCH Processor Benchmark, Throughput Total
  PDSCH Processor Benchmark, Throughput Thread
TensorFlow:
  CPU - 1 - ResNet-50
  CPU - 1 - AlexNet
  CPU - 1 - GoogLeNet
  CPU - 64 - ResNet-50
  CPU - 64 - AlexNet
  CPU - 64 - GoogLeNet
  CPU - 256 - ResNet-50
  CPU - 256 - AlexNet
  CPU - 256 - GoogLeNet
  CPU - 512 - ResNet-50
  CPU - 512 - AlexNet
  CPU - 512 - GoogLeNet
PyTorch:
  CPU - 1 - ResNet-50
  CPU - 1 - ResNet-152
  CPU - 64 - ResNet-50
  CPU - 64 - ResNet-152
  CPU - 256 - ResNet-50
  CPU - 256 - ResNet-152
  CPU - 512 - ResNet-50
  CPU - 512 - ResNet-152
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
  Person Re-Identification Retail FP16 - CPU:
    FPS
    ms
  Noise Suppression Poconet-Like FP16 - CPU:
    FPS
    ms
oneDNN
ONNX Runtime:
  yolov4 - CPU - Standard
  yolov4 - CPU - Parallel
  fcn-resnet101-11 - CPU - Parallel
  super-resolution-10 - CPU - Parallel
  bertsquad-12 - CPU - Parallel
  GPT-2 - CPU - Standard
  ArcFace ResNet-100 - CPU - Standard
  ArcFace ResNet-100 - CPU - Parallel
  CaffeNet 12-int8 - CPU - Parallel
  T5 Encoder - CPU - Standard
Llamafile:
  llava-v1.5-7b-q4 - CPU
  wizardcoder-python-34b-v1.0.Q6_K - CPU
GNU Octave Benchmark
Xmrig
Helsing
Stockfish
Primesieve:
  1e12
  1e13
Y-Cruncher:
  500M
  1B
ASKAP