dddd

Tests for a future article. AMD Ryzen 7 7840HS testing with a Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS) and AMD Radeon RX 7700S/7600/7600S/7600M XT/PRO W7600 512MB on Ubuntu 23.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2404126-NE-DDDD4030492
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AV1 2 Tests
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Intel oneAPI 5 Tests
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April 11
  6 Hours, 56 Minutes
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April 12
  6 Hours, 51 Minutes
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ddddOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads)Framework Laptop 16 (AMD Ryzen 7040 ) FRANMZCP07 (03.01 BIOS)AMD Device 14e82 x 8GB DRAM-5600MT/s A-DATA AD5S56008G-B512GB Western Digital PC SN810 SDCPNRY-512GAMD Radeon RX 7700S/7600/7600S/7600M XT/PRO W7600 512MB (2208/1124MHz)AMD Navi 31 HDMI/DPMEDIATEK MT7922 802.11ax PCIUbuntu 23.106.7.0-060700-generic (x86_64)GNOME Shell 45.2X Server 1.21.1.74.6 Mesa 24.1~git2401210600.c3a64f~oibaf~m (git-c3a64f8 2024-01-21 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56)GCC 13.2.0ext42560x1600ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionDddd BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/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-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: amd-pstate-epp powersave (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced- GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-BRT125778.001- Python 3.11.6- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Vulnerable: Safe RET no microcode + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

a vs. b ComparisonPhoronix Test SuiteBaseline+9.4%+9.4%+18.8%+18.8%+28.2%+28.2%8.7%8%5.5%5%4.8%4.6%4.3%4.1%4%3.8%3.7%3.3%3.2%3%2.9%2.9%2.9%2.7%2.7%2.5%2.5%2.4%2.4%2.3%2.3%2.2%2.2%2.2%2.2%2.2%2.2%2.2%2.1%2.1%2.1%2.1%2.1%2.1%2.1%2.1%2%2%2%2%2%2%2%1600 x 1200 - FurMark OpenGL - 837.6%HWB Color SpaceRotateCPU - 16 - ResNet-152ResizingMount St. HelensF.1.0.R.a.m.i.CBosphorus 4K - Faster4.4%R.N.N.I - CPUD.B.s - CPUNoise-GaussianA.w.3.5.ACPU - 1 - ResNet-152P.P.B.T.T3.3%SwirlR.N.N.T - CPU10, LosslessEnhancedH.Hlibx264 - Platformparticle_volume/scivis/real_timeOverwrite1600 x 1200 - FurMark Vulkan - Off2.6%CPU - 1 - ResNet-50libx264 - UploadP.D.F - CPU2.4%P.D.F - CPU2.4%Bosphorus 1080p - Faster2 - 4K - 32 - Path Tracer - CPU1 - 4K - 1 - Path Tracer - CPUF.D.R.F - CPUPreset 12 - Bosphorus 4KW.l.HWAV To WavPack2.2%P.V.B.D.F - CPU1e13CPU - 64 - AlexNetBosphorus 4KBosphorus 4K - Fast1600 x 1200 - FurMark OpenGL - OffP.V.B.D.F - CPUFastPreset 4 - Bosphorus 4KR.R.W.Rlibx264 - Video On DemandF.D.R.F - CPU1920 x 1080 - FurMark Vulkan - Off2%2 - 1080p - 16 - Path Tracer - CPUA.G.R.R.0.F.I - CPUPreset 4 - Bosphorus 1080plibx265 - PlatformP.R.I.R.F - CPUTime To Compile3 - 4K - 16 - Path Tracer - CPUFurMarkGraphicsMagickGraphicsMagickPyTorchGraphicsMagickSPECFEM3DParallel BZIP2 CompressionVVenConeDNNoneDNNGraphicsMagickNAMDPyTorchsrsRAN ProjectGraphicsMagickoneDNNlibavif avifencGraphicsMagickSPECFEM3DFFmpegOSPRayRocksDBFurMarkPyTorchFFmpegOpenVINOOpenVINOlibavif avifencVVenCOSPRay StudioOSPRay StudioOpenVINOSVT-AV1SPECFEM3DWavPack Audio EncodingOpenVINOPrimesieveTensorFlowx265VVenCFurMarkOpenVINOASTC EncoderSVT-AV1RocksDBFFmpegOpenVINOFurMarkOSPRay StudioOpenVINOSVT-AV1FFmpegOpenVINOTimed Mesa CompilationOSPRay Studioab

ddddbuild-linux-kernel: allmodconfigbuild-nodejs: Time To Compileblender: Barbershop - CPU-Onlybrl-cad: VGR Performance Metricospray-studio: 3 - 4K - 32 - Path Tracer - CPUblender: Pabellon Barcelona - CPU-Onlyospray-studio: 2 - 4K - 32 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUblender: Classroom - CPU-Onlytensorflow: CPU - 64 - ResNet-50ffmpeg: libx264 - Uploadopenssl: RSA4096openssl: RSA4096ospray-studio: 3 - 4K - 16 - Path Tracer - CPUastcenc: Very Thoroughastcenc: Exhaustiveospray-studio: 2 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUprimesieve: 1e13ffmpeg: libx265 - Video On Demandspecfem3d: Layered Halfspaceffmpeg: libx265 - Platformblender: Junkshop - CPU-Onlyspecfem3d: Water-layered Halfspaceffmpeg: libx264 - Video On Demandffmpeg: libx264 - Platformffmpeg: libx265 - Uploadblender: Fishy Cat - CPU-Onlyoidn: RTLightmap.hdr.4096x4096 - CPU-Onlypytorch: CPU - 16 - ResNet-152openssl: SHA256openssl: SHA512openssl: ChaCha20-Poly1305openssl: AES-256-GCMopenssl: AES-128-GCMopenssl: ChaCha20tensorflow: CPU - 32 - ResNet-50ospray: particle_volume/scivis/real_timenamd: STMV with 1,066,628 Atomsvvenc: Bosphorus 4K - Fastospray: particle_volume/pathtracer/real_timeavifenc: 0blender: BMW27 - CPU-Onlyospray-studio: 3 - 1080p - 32 - Path Tracer - CPUbuild-linux-kernel: defconfigstockfish: Chess Benchmarkospray-studio: 2 - 1080p - 32 - Path Tracer - CPUtensorflow: CPU - 64 - GoogLeNetospray-studio: 1 - 1080p - 32 - Path Tracer - CPUospray: particle_volume/ao/real_timespecfem3d: Homogeneous Halfspaceospray-studio: 1 - 4K - 1 - Path Tracer - CPUospray-studio: 2 - 4K - 1 - Path Tracer - CPUtensorflow: CPU - 16 - ResNet-50oidn: RT.hdr_alb_nrm.3840x2160 - CPU-Onlyoidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyspecfem3d: Mount St. Helensonednn: Recurrent Neural Network Training - CPUbuild-php: Time To Compilespecfem3d: Tomographic Modelospray-studio: 3 - 1080p - 1 - Path Tracer - CPUospray-studio: 2 - 1080p - 1 - Path Tracer - CPUospray-studio: 1 - 1080p - 1 - Path Tracer - CPUospray-studio: 3 - 1080p - 16 - Path Tracer - CPUonednn: Recurrent Neural Network Inference - CPUpytorch: CPU - 16 - ResNet-50v-ray: CPUavifenc: 2pytorch: CPU - 1 - ResNet-152vvenc: Bosphorus 4K - Fasterfurmark: 2560 x 1600 - Furmark Knot Vulkan - 8furmark: 2560 x 1440 - Furmark Knot Vulkan - 8furmark: 1920 x 1200 - Furmark Knot Vulkan - 8furmark: 1600 x 1200 - Furmark Knot Vulkan - 8furmark: 2560 x 1440 - FurMark Vulkan - 8furmark: 2560 x 1600 - FurMark Vulkan - 8furmark: 1920 x 1080 - Furmark Knot Vulkan - 8furmark: 1600 x 1200 - FurMark Vulkan - 8furmark: 2560 x 1440 - Furmark Knot Vulkan - Offastcenc: Thoroughfurmark: 2560 x 1600 - Furmark Knot Vulkan - Offfurmark: 1920 x 1080 - FurMark Vulkan - 8furmark: 1920 x 1200 - FurMark Vulkan - 8furmark: 1600 x 1200 - Furmark Knot Vulkan - Offbuild-ffmpeg: Time To Compilefurmark: 1920 x 1080 - Furmark Knot Vulkan - Offfurmark: 2560 x 1600 - FurMark Vulkan - Offffmpeg: libx265 - Livefurmark: 1920 x 1200 - Furmark Knot Vulkan - Offfurmark: 1920 x 1080 - FurMark Vulkan - Offfurmark: 1920 x 1200 - FurMark Vulkan - Offfurmark: 2560 x 1440 - FurMark Vulkan - Offfurmark: 1600 x 1200 - FurMark Vulkan - Offospray-studio: 2 - 1080p - 16 - Path Tracer - CPUospray-studio: 1 - 1080p - 16 - Path Tracer - CPUfurmark: 2560 x 1600 - FurMark Knot OpenGL - 8furmark: 2560 x 1440 - FurMark Knot OpenGL - 8furmark: 1600 x 1200 - FurMark OpenGL - 8furmark: 1600 x 1200 - FurMark Knot OpenGL - 8furmark: 2560 x 1600 - FurMark OpenGL - 8furmark: 1920 x 1200 - FurMark Knot OpenGL - 8furmark: 2560 x 1440 - FurMark OpenGL - 8furmark: 1920 x 1080 - FurMark Knot OpenGL - 8furmark: 1920 x 1200 - FurMark OpenGL - 8furmark: 1920 x 1080 - FurMark OpenGL - 8furmark: 2560 x 1440 - FurMark Knot OpenGL - Offfurmark: 2560 x 1600 - FurMark Knot OpenGL - Offfurmark: 1920 x 1080 - FurMark Knot OpenGL - Offfurmark: 1920 x 1200 - FurMark Knot OpenGL - Offfurmark: 1600 x 1200 - FurMark Knot OpenGL - Offfurmark: 2560 x 1600 - FurMark OpenGL - Offfurmark: 2560 x 1440 - FurMark OpenGL - Offfurmark: 1920 x 1200 - FurMark OpenGL - Offfurmark: 1600 x 1200 - FurMark OpenGL - Offfurmark: 1920 x 1080 - FurMark OpenGL - Offospray-studio: 3 - 4K - 1 - Path Tracer - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUtensorflow: CPU - 32 - GoogLeNetgraphics-magick: Sharpennamd: ATPase with 327,506 Atomsopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUgraphics-magick: Noise-Gaussianopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUgraphics-magick: Enhancedopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUrocksdb: Rand Fill Syncopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUgraphics-magick: Rotateopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUgraphics-magick: Resizingopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUgraphics-magick: Swirlrocksdb: Overwriterocksdb: Update Randrocksdb: Rand Fillrocksdb: Read While Writingrocksdb: Read Rand Write Randrocksdb: Rand Readgraphics-magick: HWB Color Spacetensorflow: CPU - 64 - AlexNetx265: Bosphorus 4Kffmpeg: libx264 - Liveospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timevvenc: Bosphorus 1080p - Fastsvt-av1: Preset 4 - Bosphorus 4Kbuild-mesa: Time To Compiletensorflow: CPU - 32 - AlexNetastcenc: Fasttensorflow: CPU - 16 - GoogLeNetpytorch: CPU - 1 - ResNet-50tensorflow: CPU - 16 - AlexNetastcenc: Mediumsrsran: PUSCH Processor Benchmark, Throughput Threadonednn: Deconvolution Batch shapes_1d - CPUsvt-av1: Preset 8 - Bosphorus 4Kvvenc: Bosphorus 1080p - Fasterrocksdb: Seq Fillprimesieve: 1e12onednn: IP Shapes 1D - CPUtensorflow: CPU - 1 - ResNet-50tensorflow: CPU - 1 - AlexNetsvt-av1: Preset 4 - Bosphorus 1080psrsran: PUSCH Processor Benchmark, Throughput Totalavifenc: 6, Losslessdraco: Church Facadex265: Bosphorus 1080psrsran: PDSCH Processor Benchmark, Throughput Totalonednn: IP Shapes 3D - CPUsvt-av1: Preset 12 - Bosphorus 4Kdraco: Lioncompress-pbzip2: FreeBSD-13.0-RELEASE-amd64-memstick.img Compressionsvt-av1: Preset 13 - Bosphorus 4Kavifenc: 6svt-av1: Preset 8 - Bosphorus 1080pencode-wavpack: WAV To WavPackavifenc: 10, Losslessonednn: Convolution Batch Shapes Auto - CPUtensorflow: CPU - 1 - GoogLeNetsrsran: PDSCH Processor Benchmark, Throughput Threadonednn: Deconvolution Batch shapes_3d - CPUsvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pjpegxl-decode: 1ab1814.7451483.8941415.18167932500496474.9429573422878376.6320.3910.871336595537.42543250.97780.5997215962213660223.339.50204.99416363739.56209.09203.13369804540.4340.3519.74190.850.169.821244484235040311585903318614890079742211140930736283604677034994020.223.105650.334613.6796.4254158.931155.01130019139.4351421737011177159.31097873.11221102.778145111130671317919.970.340.3482.5590503824015.9685.75778.787073105388433373287676242226.0824.171475075.88815.558.4392.2671812.4254872.8178992.8285273.679223.3516833.0556054.4714755.792927.09575.2045655.0187264.4622547.19365972.3978.18919912.242317102.577.12749921.3932918.30673814.31640618.7578258539577762.9638793.1974065.5938483.950514.2832183.8826924.7001264.2828565.667016.2838636.5327015.90526110.0507688.7098869.04907915.83572517.77583122.22518922.20889125.81894315483832.754.79427.349.3559.28211.0884072.9254.79114.2734.9650116.2234.3712.63629.323423.02173.397.88505.231651636.53109.326.19642.347.47532.3130.03265.3232.89242.274.731668.4416.18491.416.1247.63878.25960.131610.418188.063.481136.730.5712963.08926171543328886274031718058134788952955448149124.5411.08165.702.522832.476333.0845412.293.63940.432105.89130.688460.0439.8377.8953.1126111.98.0209830.68929.82378237617.6613.6467410.6710.4412.484848.412.525893055.443145.7620477.17268499.09657882.2788.03790.836.4856.64516.127638.96687.16.33346353.363411.2031790.8721470.7241398.67170618493754467.88419991416156370.3520.611.14135443.55614.82494470.9920.6083213925212290218.55940.21204.23697645940.35207.94198.72073102441.2641.5120.08187.880.1610.361263632555040918058703364509860080734108330945239173804747975721020.373.188890.329963.74898.2318155.225153.04128002138.2851434762511030160.11084383.1604399.904351576127781301520.120.340.3478.7700287613891.6785.52577.584809657384432783244666892134.4224.391498274.62616.128.082.2524252.4308462.8213322.8266713.6844783.3640863.0662594.4754225.804837.20995.1358465.0437494.4712217.19831471.0978.21188412.378535103.917.18098920.96448918.39466314.08752318.27601257377571052.9605623.1972854.0648243.9472094.2860133.8800074.7076484.2817515.674326.2771756.5382235.85050910.087258.7119868.98074615.73074617.90212422.03447322.68000225.52998415257818.384.87420.99.4960.1211.1300571.9555.5311734.1452118.1933.7912.52634.653522.71175.87.71515.931654135.9111.236.07654.387.36540.0429.52270.0232.28246.964.651699.3615.88500.9516.05248.42948.11975.91690.418552.633.411162.230.5613166.4956336253393586351031735400137562953548615162127.2411.32165.702.550452.516923.1344212.5263.71439.651107.46133.417961.0540.8278.4653.9895111.97.7037431.15130.53479643617.3393.6882310.7810.412.734848.612.313894155.154352.25.6703478.88967338.70001583.097.9792.4266.6286.45215.984839.55665.16.42079349.163415.266OpenBenchmarking.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: allmodconfigab4008001200160020001814.751790.87

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 Compileab300600900120015001483.891470.72

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Barbershop - Compute: CPU-Onlyab300600900120015001415.181398.67

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 Metricab40K80K120K160K200K1679321706181. (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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUab110K220K330K440K550K500496493754

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Pabellon Barcelona - Compute: CPU-Onlyab100200300400500474.90467.88

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUab90K180K270K360K450K429573419991

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUab90K180K270K360K450K422878416156

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Classroom - Compute: CPU-Onlyab80160240320400376.63370.35

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50ab51015202520.3920.60

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: libx264 - Scenario: Uploadab369121510.8711.141. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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.orgverify/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096ab30K60K90K120K150K133659.0135443.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.3Algorithm: RSA4096ab120024003600480060005537.45614.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUab50K100K150K200K250K254325249447

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Very Thoroughab0.22320.44640.66960.89281.1160.97780.99201. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.7Preset: Exhaustiveab0.13690.27380.41070.54760.68450.59970.60831. (CXX) g++ options: -O3 -flto -pthread

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUab50K100K150K200K250K215962213925

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUab50K100K150K200K250K213660212290

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: 1e13ab50100150200250223.30218.561. (CXX) g++ options: -O3

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: Video On Demandab91827364539.5040.211. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SPECFEM3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Layered Halfspaceab4080120160200204.99204.241. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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: Platformab91827364539.5640.351. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Junkshop - Compute: CPU-Onlyab50100150200250209.09207.94

SPECFEM3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Water-layered Halfspaceab4080120160200203.13198.721. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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: libx264 - Scenario: Video On Demandab91827364540.4341.261. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx264 - Scenario: Platformab91827364540.3541.511. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Uploadab51015202519.7420.081. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: Fishy Cat - Compute: CPU-Onlyab4080120160200190.85187.88

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RTLightmap.hdr.4096x4096 - Device: CPU-Onlyab0.0360.0720.1080.1440.180.160.16

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: 16 - Model: ResNet-152ab36912159.8210.36MIN: 6.44 / MAX: 11.02MIN: 7.73 / MAX: 11.29

OpenSSL

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA256ab3000M6000M9000M12000M15000M12444842350126363255501. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: SHA512ab900M1800M2700M3600M4500M403115859040918058701. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20-Poly1305ab7000M14000M21000M28000M35000M33186148900336450986001. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-256-GCMab20000M40000M60000M80000M100000M79742211140807341083301. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: AES-128-GCMab20000M40000M60000M80000M100000M93073628360945239173801. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.3Algorithm: ChaCha20ab10000M20000M30000M40000M50000M46770349940474797572101. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -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: 32 - Model: ResNet-50ab51015202520.2220.37

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/scivis/real_timeab0.71751.4352.15252.873.58753.105653.18889

NAMD

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

OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0b6Input: STMV with 1,066,628 Atomsab0.07530.15060.22590.30120.37650.334610.32996

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: Fastab0.84331.68662.52993.37324.21653.6703.7481. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/pathtracer/real_timeab2040608010096.4398.23

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: 0ab4080120160200158.93155.231. (CXX) g++ options: -O3 -fPIC -lm

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.1Blend File: BMW27 - Compute: CPU-Onlyab306090120150155.01153.04

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUab30K60K90K120K150K130019128002

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: defconfigab306090120150139.44138.29

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 Benchmarkab3M6M9M12M15M14217370143476251. (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

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUab20K40K60K80K100K111771110301

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: GoogLeNetab132639526559.360.1

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUab20K40K60K80K100K109787108438

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: particle_volume/ao/real_timeab0.71111.42222.13332.84443.55553.112213.16043

SPECFEM3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Homogeneous Halfspaceab20406080100102.7899.901. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

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: CPUab3K6K9K12K15K1306712778

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUab3K6K9K12K15K1317913015

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: 16 - Model: ResNet-50ab51015202519.9720.12

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-Onlyab0.07650.1530.22950.3060.38250.340.34

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.2Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-Onlyab0.07650.1530.22950.3060.38250.340.34

SPECFEM3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Mount St. Helensab2040608010082.5678.771. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Training - Engine: CPUab90018002700360045004015.963891.67MIN: 3796.69MIN: 3624.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.3.4Time To Compileab2040608010085.7685.53

SPECFEM3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterSPECFEM3D 4.1.1Model: Tomographic Modelab2040608010078.7977.581. (F9X) gfortran options: -O2 -fopenmp -std=f2008 -fimplicit-none -fmax-errors=10 -pedantic -pedantic-errors -O3 -finline-functions -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUab800160024003200400038843844

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUab700140021002800350033373278

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUab700140021002800350032873244

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUab14K28K42K56K70K6762466689

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Recurrent Neural Network Inference - Engine: CPUab50010001500200025002226.082134.42MIN: 2031.78MIN: 1963.91. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

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: 16 - Model: ResNet-50ab61218243024.1724.39MIN: 21.06 / MAX: 25.99MIN: 21.02 / MAX: 26.11

Chaos Group V-RAY

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

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPUab3K6K9K12K15K1475014982

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: 2ab2040608010075.8974.631. (CXX) g++ options: -O3 -fPIC -lm

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-152ab4812162015.5516.12MIN: 11.59 / MAX: 17.15MIN: 13.02 / MAX: 17.86

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: Fasterab2468108.4398.0801. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

FurMark

FurMark 2 is a cross-platform GPU stress test that can exercise both OpenGL and Vulkan drivers/GPUs. FurMark 2 is the successor to the original FurMark benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1600 - Demo: Furmark Knot Vulkan - MSAA: 8ab0.51011.02021.53032.04042.55052.2671812.252425MAX: 8MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1440 - Demo: Furmark Knot Vulkan - MSAA: 8ab0.54691.09381.64072.18762.73452.4254872.430846MAX: 8MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: Furmark Knot Vulkan - MSAA: 8ab0.63481.26961.90442.53923.1742.8178992.821332MAX: 8MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1600 x 1200 - Demo: Furmark Knot Vulkan - MSAA: 8ab0.63641.27281.90922.54563.1822.8285272.826671MAX: 8MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1440 - Demo: FurMark Vulkan - MSAA: 8ab0.8291.6582.4873.3164.1453.6792203.684478MAX: 9MAX: 9

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1600 - Demo: FurMark Vulkan - MSAA: 8ab0.75691.51382.27073.02763.78453.3516833.364086MAX: 9MAX: 9

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: 8ab0.68991.37982.06972.75963.44953.0556053.066259MIN: 3 / MAX: 8MIN: 3 / MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1600 x 1200 - Demo: FurMark Vulkan - MSAA: 8ab1.0072.0143.0214.0285.0354.4714754.475422MAX: 9MAX: 10

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1440 - Demo: Furmark Knot Vulkan - MSAA: Offab1.30612.61223.91835.22446.53055.792925.80483MAX: 11MAX: 11

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: Thoroughab2468107.09577.20991. (CXX) g++ options: -O3 -flto -pthread

FurMark

FurMark 2 is a cross-platform GPU stress test that can exercise both OpenGL and Vulkan drivers/GPUs. FurMark 2 is the successor to the original FurMark benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1600 - Demo: Furmark Knot Vulkan - MSAA: Offab1.1712.3423.5134.6845.8555.2045655.135846MAX: 11MIN: 5 / MAX: 10

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: 8ab1.13482.26963.40444.53925.6745.0187265.043749MIN: 5 / MAX: 10MIN: 5 / MAX: 10

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Vulkan - MSAA: 8ab1.0062.0123.0184.0245.034.4622544.471221MAX: 10MAX: 10

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1600 x 1200 - Demo: Furmark Knot Vulkan - MSAA: Offab2468107.1936597.198314MIN: 7 / MAX: 12MIN: 7 / MAX: 12

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 Compileab163248648072.4071.10

FurMark

FurMark 2 is a cross-platform GPU stress test that can exercise both OpenGL and Vulkan drivers/GPUs. FurMark 2 is the successor to the original FurMark benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: Furmark Knot Vulkan - MSAA: Offab2468108.1891998.211884MIN: 8 / MAX: 13MIN: 8 / MAX: 13

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1600 - Demo: FurMark Vulkan - MSAA: Offab369121512.2412.38MIN: 12 / MAX: 17MIN: 12 / MAX: 17

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: Liveab20406080100102.57103.911. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

FurMark

FurMark 2 is a cross-platform GPU stress test that can exercise both OpenGL and Vulkan drivers/GPUs. FurMark 2 is the successor to the original FurMark benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: Furmark Knot Vulkan - MSAA: Offab2468107.1274997.180989MIN: 7 / MAX: 12MIN: 7 / MAX: 12

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Vulkan - MSAA: Offab51015202521.3920.96MIN: 21 / MAX: 26MAX: 26

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Vulkan - MSAA: Offab51015202518.3118.39MIN: 18 / MAX: 23MIN: 18 / MAX: 23

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1440 - Demo: FurMark Vulkan - MSAA: Offab4812162014.3214.09MIN: 14 / MAX: 19MIN: 14 / MAX: 19

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1600 x 1200 - Demo: FurMark Vulkan - MSAA: Offab51015202518.7618.28MAX: 23MIN: 18 / MAX: 23

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUab13K26K39K52K65K5853957377

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUab12K24K36K48K60K5777657105

FurMark

FurMark 2 is a cross-platform GPU stress test that can exercise both OpenGL and Vulkan drivers/GPUs. FurMark 2 is the successor to the original FurMark benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1600 - Demo: FurMark Knot OpenGL - MSAA: 8ab0.66691.33382.00072.66763.33452.9638792.960562MAX: 5MAX: 5

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1440 - Demo: FurMark Knot OpenGL - MSAA: 8ab0.71941.43882.15822.87763.5973.1974063.197285MAX: 5MAX: 5

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1600 x 1200 - Demo: FurMark OpenGL - MSAA: 8ab1.25862.51723.77585.03446.2935.5938484.064824MAX: 8MIN: 4 / MAX: 6

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1600 x 1200 - Demo: FurMark Knot OpenGL - MSAA: 8ab0.88891.77782.66673.55564.44453.9505103.947209MAX: 6MAX: 6

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1600 - Demo: FurMark OpenGL - MSAA: 8ab0.96441.92882.89323.85764.8224.2832184.286013MAX: 6MAX: 7

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Knot OpenGL - MSAA: 8ab0.87361.74722.62083.49444.3683.8826923.880007MAX: 6MAX: 6

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1440 - Demo: FurMark OpenGL - MSAA: 8ab1.05922.11843.17764.23685.2964.7001264.707648MAX: 7MAX: 7

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: 8ab0.96361.92722.89083.85444.8184.2828564.281751MAX: 6MAX: 6

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark OpenGL - MSAA: 8ab1.27672.55343.83015.10686.38355.667015.67432MAX: 8MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: 8ab2468106.2838636.277175MAX: 8MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1440 - Demo: FurMark Knot OpenGL - MSAA: Offab2468106.5327016.538223MAX: 9MAX: 9

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1600 - Demo: FurMark Knot OpenGL - MSAA: Offab1.32872.65743.98615.31486.64355.9052615.850509MAX: 8MAX: 8

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark Knot OpenGL - MSAA: Offab369121510.0510.09MIN: 10 / MAX: 12MIN: 10 / MAX: 12

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark Knot OpenGL - MSAA: Offab2468108.7098868.711986MAX: 11MAX: 11

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1600 x 1200 - Demo: FurMark Knot OpenGL - MSAA: Offab36912159.0490798.980746MIN: 9 / MAX: 11MAX: 11

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1600 - Demo: FurMark OpenGL - MSAA: Offab4812162015.8415.73MAX: 18MAX: 17

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 2560 x 1440 - Demo: FurMark OpenGL - MSAA: Offab4812162017.7817.90MAX: 19MAX: 20

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1200 - Demo: FurMark OpenGL - MSAA: Offab51015202522.2322.03MIN: 22 / MAX: 23MIN: 22 / MAX: 23

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1600 x 1200 - Demo: FurMark OpenGL - MSAA: Offab51015202522.2122.68MIN: 22 / MAX: 23MAX: 24

OpenBenchmarking.orgFPS, More Is BetterFurMark 2.1Resolution: 1920 x 1080 - Demo: FurMark OpenGL - MSAA: Offab61218243025.8225.53MAX: 27MAX: 26

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 1.0Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUab3K6K9K12K15K1548315257

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUab2004006008001000832.75818.38MIN: 437.95 / MAX: 920.67MIN: 426.02 / MAX: 896.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16 - Device: CPUab1.09582.19163.28744.38325.4794.794.871. (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: CPUab90180270360450427.34420.90MIN: 226.79 / MAX: 504.34MIN: 340.28 / MAX: 487.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUab36912159.359.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: GoogLeNetab132639526559.2860.10

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: Sharpenab51015202521211. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lwebpmux -lwebp -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

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 Atomsab0.25430.50860.76291.01721.27151.088401.13005

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUab163248648072.9271.95MIN: 54.79 / MAX: 118.82MIN: 57.43 / MAX: 132.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUab122436486054.7955.531. (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: CPUab306090120150114.27117.00MIN: 70.12 / MAX: 158.54MIN: 68.36 / MAX: 168.571. (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: CPUab81624324034.9634.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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-Gaussianab122436486050521. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lwebpmux -lwebp -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUab306090120150116.22118.19MIN: 76.8 / MAX: 161.29MIN: 80.54 / MAX: 163.991. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP32 - Device: CPUab81624324034.3733.791. (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: CPUab369121512.6312.52MIN: 8.97 / MAX: 58.05MIN: 9.21 / MAX: 57.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUab140280420560700629.32634.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: Enhancedab81624324034351. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lwebpmux -lwebp -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUab61218243023.0222.71MIN: 16.29 / MAX: 68.5MIN: 16.5 / MAX: 47.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16-INT8 - Device: CPUab4080120160200173.39175.801. (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 Vehicle Bike Detection FP16 - Device: CPUab2468107.887.71MIN: 5.16 / MAX: 21.93MIN: 4.94 / MAX: 49.251. (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: CPUab110220330440550505.23515.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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 Fill Syncab4K8K12K16K20K16516165411. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUab81624324036.5335.90MIN: 21.06 / MAX: 62.37MIN: 17.92 / MAX: 63.831. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Road Segmentation ADAS FP16 - Device: CPUab20406080100109.32111.231. (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: CPUab2468106.196.07MIN: 3.67 / MAX: 23.37MIN: 3.71 / MAX: 30.031. (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: CPUab140280420560700642.34654.381. (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: CPUab2468107.477.36MIN: 4.09 / MAX: 45.21MIN: 3.89 / MAX: 26.271. (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: CPUab120240360480600532.31540.041. (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: CPUab71421283530.0329.52MIN: 20.82 / MAX: 77.01MIN: 20.52 / MAX: 76.731. (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: CPUab60120180240300265.32270.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUab81624324032.8932.28MIN: 23.07 / MAX: 73.63MIN: 22.96 / MAX: 76.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16 - Device: CPUab50100150200250242.27246.961. (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: CPUab1.06432.12863.19294.25725.32154.734.65MIN: 2.83 / MAX: 50.89MIN: 2.81 / MAX: 43.731. (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: CPUab4008001200160020001668.441699.361. (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 - Device: CPUab4812162016.1815.88MIN: 8.39 / MAX: 58.73MIN: 8.32 / MAX: 60.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16 - Device: CPUab110220330440550491.40500.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUab4812162016.1016.05MIN: 5.91 / MAX: 41.67MIN: 6.16 / MAX: 51.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16 - Device: CPUab50100150200250247.63248.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: Rotateab2040608010087941. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lwebpmux -lwebp -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Weld Porosity Detection FP16-INT8 - Device: CPUab2468108.258.11MIN: 4.45 / MAX: 29.88MIN: 4.37 / MAX: 46.621. (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: CPUab2004006008001000960.13975.901. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: Resizingab40801201602001611691. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lwebpmux -lwebp -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUab0.090.180.270.360.450.40.4MIN: 0.23 / MAX: 11.63MIN: 0.22 / MAX: 14.181. (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: CPUab4K8K12K16K20K18188.0618552.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUab0.7831.5662.3493.1323.9153.483.41MIN: 1.94 / MAX: 43.46MIN: 1.91 / MAX: 36.141. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection Retail FP16 - Device: CPUab20040060080010001136.731162.231. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUab0.12830.25660.38490.51320.64150.570.56MIN: 0.3 / MAX: 17.16MIN: 0.3 / MAX: 18.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUab3K6K9K12K15K12963.0813166.401. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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: Swirlab2040608010092951. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lwebpmux -lwebp -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

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: Overwriteab140K280K420K560K700K6171546336251. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Update Randomab70K140K210K280K350K3328883393581. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random Fillab140K280K420K560K700K6274036351031. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read While Writingab400K800K1200K1600K2000K171805817354001. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Read Random Write Randomab300K600K900K1200K1500K134788913756291. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 9.0Test: Random Readab11M22M33M44M55M52955448535486151. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.43Operation: HWB Color Spaceab40801201602001491621. (CC) gcc options: -fopenmp -O2 -ltiff -ljbig -lwebpmux -lwebp -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -lxml2 -lzstd -llzma -lbz2 -lz -lm -lpthread -lgomp

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: AlexNetab306090120150124.54127.24

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 4Kab369121511.0811.321. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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: libx264 - Scenario: Liveab4080120160200165.70165.701. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/ao/real_timeab0.57391.14781.72172.29562.86952.522832.55045

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeab0.56631.13261.69892.26522.83152.476332.51692

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.1Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeab0.70521.41042.11562.82083.5263.084543.13442

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: Fastab369121512.2912.531. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 4Kab0.83571.67142.50713.34284.17853.6393.7141. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 Compileab91827364540.4339.65

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 32 - Model: AlexNetab20406080100105.89107.46

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: Fastab306090120150130.69133.421. (CXX) g++ options: -O3 -flto -pthread

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: 16 - Model: GoogLeNetab142842567060.0461.05

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-50ab91827364539.8340.82MIN: 26.6 / MAX: 43.64MIN: 27.63 / MAX: 44.34

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: 16 - Model: AlexNetab2040608010077.8978.46

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: Mediumab122436486053.1153.991. (CXX) g++ options: -O3 -flto -pthread

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 Threadab306090120150111.9111.9MIN: 79.1MIN: 79.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -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_1d - Engine: CPUab2468108.020987.70374MIN: 5.24MIN: 5.151. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 4Kab71421283530.6931.151. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 1080p - Video Preset: Fasterab71421283529.8230.531. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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: Sequential Fillab200K400K600K800K1000K7823767964361. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

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: 1e12ab4812162017.6617.341. (CXX) g++ options: -O3

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: IP Shapes 1D - Engine: CPUab0.82991.65982.48973.31964.14953.646743.68823MIN: 2.68MIN: 2.731. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -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-50ab369121510.6710.78

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 1 - Model: AlexNetab369121510.4410.40

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 4 - Input: Bosphorus 1080pab369121512.4812.731. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 Totalab2004006008001000848.4848.6MIN: 565.7MIN: 565.81. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -ldl

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, Losslessab369121512.5312.311. (CXX) g++ options: -O3 -fPIC -lm

Google Draco

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

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Church Facadeab2K4K6K8K10K893089411. (CXX) g++ options: -O3

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 1080pab122436486055.4055.151. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

srsRAN Project

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

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput Totalab90018002700360045004314.04352.21. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -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: IP Shapes 3D - Engine: CPUab1.29652.5933.88955.1866.48255.762045.67034MIN: 4.58MIN: 4.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 4Kab2040608010077.1778.891. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Google Draco

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

OpenBenchmarking.orgms, Fewer Is BetterGoogle Draco 1.5.6Model: Lionab15003000450060007500684967331. (CXX) g++ options: -O3

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 Compressionab36912159.0965788.7000151. (CXX) g++ options: -O2 -pthread -lbz2 -lpthread

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 4Kab2040608010082.2883.091. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: 6ab2468108.0377.9701. (CXX) g++ options: -O3 -fPIC -lm

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 8 - Input: Bosphorus 1080pab2040608010090.8392.431. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.7WAV To WavPackab2468106.4856.628

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: 10, Losslessab2468106.6456.4521. (CXX) g++ options: -O3 -fPIC -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.4Harness: Convolution Batch Shapes Auto - Engine: CPUab4812162016.1315.98MIN: 13.64MIN: 13.831. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -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: GoogLeNetab91827364538.9639.55

srsRAN Project

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

OpenBenchmarking.orgMbps, More Is BettersrsRAN Project 23.10.1-20240325Test: PDSCH Processor Benchmark, Throughput Threadab150300450600750687.1665.11. (CXX) g++ options: -O3 -march=native -mavx2 -mavx -msse4.1 -mfma -mavx512f -mavx512cd -mavx512bw -mavx512dq -fno-trapping-math -fno-math-errno -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: CPUab2468106.333466.42079MIN: 5.52MIN: 5.451. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 12 - Input: Bosphorus 1080pab80160240320400353.36349.161. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.0Encoder Mode: Preset 13 - Input: Bosphorus 1080pab90180270360450411.20415.271. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

JPEG-XL Decoding libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is suited for JPEG XL decode performance testing to PNG output file, the pts/jpexl test is for encode performance. The JPEG XL encoding/decoding is done using the libjxl codebase. Learn more via the OpenBenchmarking.org test page.

CPU Threads: All

a: The test quit with a non-zero exit status. E: ./jpegxl-decode: 2: /home/phoronix/.phoronix-test-suite/installed-tests/pts/jpegxl-1.6.0//libjxl-0.10.1/build/tools/djxl: not found

b: The test quit with a non-zero exit status. E: ./jpegxl-decode: 2: /home/phoronix/.phoronix-test-suite/installed-tests/pts/jpegxl-1.6.0//libjxl-0.10.1/build/tools/djxl: not found

CPU Threads: 1

a: The test quit with a non-zero exit status. E: ./jpegxl-decode: 2: /home/phoronix/.phoronix-test-suite/installed-tests/pts/jpegxl-1.6.0//libjxl-0.10.1/build/tools/djxl: not found

b: The test quit with a non-zero exit status. E: ./jpegxl-decode: 2: /home/phoronix/.phoronix-test-suite/installed-tests/pts/jpegxl-1.6.0//libjxl-0.10.1/build/tools/djxl: not found

217 Results Shown

Timed Linux Kernel Compilation
Timed Node.js Compilation
Blender
BRL-CAD
OSPRay Studio
Blender
OSPRay Studio:
  2 - 4K - 32 - Path Tracer - CPU
  1 - 4K - 32 - Path Tracer - CPU
Blender
TensorFlow
FFmpeg
OpenSSL:
  RSA4096:
    verify/s
    sign/s
OSPRay Studio
ASTC Encoder:
  Very Thorough
  Exhaustive
OSPRay Studio:
  2 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
Primesieve
FFmpeg
SPECFEM3D
FFmpeg
Blender
SPECFEM3D
FFmpeg:
  libx264 - Video On Demand
  libx264 - Platform
  libx265 - Upload
Blender
Intel Open Image Denoise
PyTorch
OpenSSL:
  SHA256
  SHA512
  ChaCha20-Poly1305
  AES-256-GCM
  AES-128-GCM
  ChaCha20
TensorFlow
OSPRay
NAMD
VVenC
OSPRay
libavif avifenc
Blender
OSPRay Studio
Timed Linux Kernel Compilation
Stockfish
OSPRay Studio
TensorFlow
OSPRay Studio
OSPRay
SPECFEM3D
OSPRay Studio:
  1 - 4K - 1 - Path Tracer - CPU
  2 - 4K - 1 - Path Tracer - CPU
TensorFlow
Intel Open Image Denoise:
  RT.hdr_alb_nrm.3840x2160 - CPU-Only
  RT.ldr_alb_nrm.3840x2160 - CPU-Only
SPECFEM3D
oneDNN
Timed PHP Compilation
SPECFEM3D
OSPRay Studio:
  3 - 1080p - 1 - Path Tracer - CPU
  2 - 1080p - 1 - Path Tracer - CPU
  1 - 1080p - 1 - Path Tracer - CPU
  3 - 1080p - 16 - Path Tracer - CPU
oneDNN
PyTorch
Chaos Group V-RAY
libavif avifenc
PyTorch
VVenC
FurMark:
  2560 x 1600 - Furmark Knot Vulkan - 8
  2560 x 1440 - Furmark Knot Vulkan - 8
  1920 x 1200 - Furmark Knot Vulkan - 8
  1600 x 1200 - Furmark Knot Vulkan - 8
  2560 x 1440 - FurMark Vulkan - 8
  2560 x 1600 - FurMark Vulkan - 8
  1920 x 1080 - Furmark Knot Vulkan - 8
  1600 x 1200 - FurMark Vulkan - 8
  2560 x 1440 - Furmark Knot Vulkan - Off
ASTC Encoder
FurMark:
  2560 x 1600 - Furmark Knot Vulkan - Off
  1920 x 1080 - FurMark Vulkan - 8
  1920 x 1200 - FurMark Vulkan - 8
  1600 x 1200 - Furmark Knot Vulkan - Off
Timed FFmpeg Compilation
FurMark:
  1920 x 1080 - Furmark Knot Vulkan - Off
  2560 x 1600 - FurMark Vulkan - Off
FFmpeg
FurMark:
  1920 x 1200 - Furmark Knot Vulkan - Off
  1920 x 1080 - FurMark Vulkan - Off
  1920 x 1200 - FurMark Vulkan - Off
  2560 x 1440 - FurMark Vulkan - Off
  1600 x 1200 - FurMark Vulkan - Off
OSPRay Studio:
  2 - 1080p - 16 - Path Tracer - CPU
  1 - 1080p - 16 - Path Tracer - CPU
FurMark:
  2560 x 1600 - FurMark Knot OpenGL - 8
  2560 x 1440 - FurMark Knot OpenGL - 8
  1600 x 1200 - FurMark OpenGL - 8
  1600 x 1200 - FurMark Knot OpenGL - 8
  2560 x 1600 - FurMark OpenGL - 8
  1920 x 1200 - FurMark Knot OpenGL - 8
  2560 x 1440 - FurMark OpenGL - 8
  1920 x 1080 - FurMark Knot OpenGL - 8
  1920 x 1200 - FurMark OpenGL - 8
  1920 x 1080 - FurMark OpenGL - 8
  2560 x 1440 - FurMark Knot OpenGL - Off
  2560 x 1600 - FurMark Knot OpenGL - Off
  1920 x 1080 - FurMark Knot OpenGL - Off
  1920 x 1200 - FurMark Knot OpenGL - Off
  1600 x 1200 - FurMark Knot OpenGL - Off
  2560 x 1600 - FurMark OpenGL - Off
  2560 x 1440 - FurMark OpenGL - Off
  1920 x 1200 - FurMark OpenGL - Off
  1600 x 1200 - FurMark OpenGL - Off
  1920 x 1080 - FurMark OpenGL - Off
OSPRay Studio
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
TensorFlow
GraphicsMagick
NAMD
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Detection FP16 - CPU:
    ms
    FPS
GraphicsMagick
OpenVINO:
  Person Detection FP32 - CPU:
    ms
    FPS
  Noise Suppression Poconet-Like FP16 - CPU:
    ms
    FPS
GraphicsMagick
OpenVINO:
  Road Segmentation ADAS FP16-INT8 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
RocksDB
OpenVINO:
  Road Segmentation ADAS FP16 - CPU:
    ms
    FPS
  Person Re-Identification Retail FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16 - CPU:
    ms
    FPS
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
GraphicsMagick
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
GraphicsMagick
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Face Detection Retail FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
GraphicsMagick
RocksDB:
  Overwrite
  Update Rand
  Rand Fill
  Read While Writing
  Read Rand Write Rand
  Rand Read
GraphicsMagick
TensorFlow
x265
FFmpeg
OSPRay:
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
VVenC
SVT-AV1
Timed Mesa Compilation
TensorFlow
ASTC Encoder
TensorFlow
PyTorch
TensorFlow
ASTC Encoder
srsRAN Project
oneDNN
SVT-AV1
VVenC
RocksDB
Primesieve
oneDNN
TensorFlow:
  CPU - 1 - ResNet-50
  CPU - 1 - AlexNet
SVT-AV1
srsRAN Project
libavif avifenc
Google Draco
x265
srsRAN Project
oneDNN
SVT-AV1
Google Draco
Parallel BZIP2 Compression
SVT-AV1
libavif avifenc
SVT-AV1
WavPack Audio Encoding
libavif avifenc
oneDNN
TensorFlow
srsRAN Project
oneDNN
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p