raptor lake extra

Benchmarks for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2210201-PTS-RAPTORLA85
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Audio Encoding 4 Tests
AV1 3 Tests
Chess Test Suite 4 Tests
Timed Code Compilation 9 Tests
C/C++ Compiler Tests 19 Tests
CPU Massive 29 Tests
Creator Workloads 30 Tests
Cryptography 2 Tests
Database Test Suite 3 Tests
Encoding 11 Tests
Game Development 3 Tests
HPC - High Performance Computing 17 Tests
Imaging 6 Tests
Java 3 Tests
Common Kernel Benchmarks 2 Tests
Machine Learning 12 Tests
Molecular Dynamics 2 Tests
MPI Benchmarks 2 Tests
Multi-Core 35 Tests
Node.js + NPM Tests 2 Tests
NVIDIA GPU Compute 4 Tests
Intel oneAPI 4 Tests
OpenMPI Tests 3 Tests
Productivity 2 Tests
Programmer / Developer System Benchmarks 14 Tests
Python 2 Tests
Raytracing 4 Tests
Renderers 8 Tests
Scientific Computing 4 Tests
Server 7 Tests
Server CPU Tests 20 Tests
Single-Threaded 7 Tests
Video Encoding 7 Tests
Common Workstation Benchmarks 3 Tests

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13600K A
October 16 2022
  8 Hours, 56 Minutes
i5-13600K
October 17 2022
  2 Hours, 43 Minutes
13900K
October 17 2022
  8 Hours, 19 Minutes
13900K R
October 18 2022
  6 Hours, 1 Minute
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  6 Hours, 30 Minutes

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raptor lake extraProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen Resolution13600K Ai5-13600K13900K13900K RIntel Core i5-13600K @ 5.10GHz (14 Cores / 20 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (1720 BIOS)Intel Device 7aa732GB2000GB Samsung SSD 980 PRO 2TBAMD Radeon RX 6800 XT 16GB (2575/1000MHz)Intel Device 7ad0ASUS VP28UIntel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411Ubuntu 22.046.0.0-060000rc1daily20220820-generic (x86_64)GNOME Shell 42.2X Server 1.21.1.3 + Wayland4.6 Mesa 22.3.0-devel (git-4685385 2022-08-23 jammy-oibaf-ppa) (LLVM 14.0.6 DRM 3.48)1.3.224GCC 12.0.1 20220319ext43840x2160Intel Core i9-13900K @ 4.00GHz (24 Cores / 32 Threads)ASUS ROG STRIX Z690-E GAMING WIFI (2004 BIOS)2000GB Samsung SSD 980 PRO 2TB + 2000GBOpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-OcsLtf/gcc-12-12-20220319/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- 13600K A: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x107- i5-13600K: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x107- 13900K: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x108- 13900K R: Scaling Governor: intel_pstate performance (EPP: performance) - CPU Microcode: 0x108Java Details- OpenJDK Runtime Environment (build 11.0.16+8-post-Ubuntu-0ubuntu122.04)Python Details- Python 3.10.4Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

13600K Ai5-13600K13900K13900K RResult OverviewPhoronix Test Suite100%123%146%169%192%SVT-HEVCtoyBrot Fractal GeneratorOpenRadiossQuadRayEmbreeTimed MrBayes AnalysisOSPRayLeelaChessZeroJPEG XL Decoding libjxlx264SVT-VP9Timed LLVM CompilationStockfishx265LAMMPS Molecular Dynamics SimulatorJava Gradle BuildSVT-AV1DaCapo BenchmarkTSCPasmFishlibavif avifencCoremarkZstd CompressionNAMDTimed Godot Game Engine CompilationJPEG XL libjxlNode.js Express HTTP Load TestTimed Mesa CompilationTimed Linux Kernel CompilationAOM AV1Renaissance

raptor lake extralczero: BLASlczero: Eigennamd: ATPase Simulation - 327,506 Atomstoybrot: TBBtoybrot: OpenMPtoybrot: C++ Taskstoybrot: C++ Threadsmrbayes: Primate Phylogeny Analysisopenradioss: Bumper Beamopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containerlammps: 20k Atomslammps: Rhodopsin Proteinjava-gradle-perf: Reactordacapobench: H2dacapobench: Jythondacapobench: Tradesoapdacapobench: Tradebeansrenaissance: Scala Dottyrenaissance: Rand Forestrenaissance: ALS Movie Lensrenaissance: Apache Spark ALSrenaissance: Apache Spark Bayesrenaissance: Savina Reactors.IOrenaissance: Apache Spark PageRankrenaissance: Finagle HTTP Requestsrenaissance: In-Memory Database Shootoutrenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Genetic Algorithm Using Jenetics + Futurescompress-zstd: 3 - Compression Speedcompress-zstd: 3 - Decompression Speedcompress-zstd: 8 - Compression Speedcompress-zstd: 8 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-zstd: 19 - Decompression Speedcompress-zstd: 3, Long Mode - Compression Speedcompress-zstd: 3, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedcompress-zstd: 19, Long Mode - Decompression Speedjpegxl: PNG - 80jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100jpegxl-decode: 1jpegxl-decode: Alltscp: AI Chess Performancenode-express-loadtest: quadray: 1 - 4Kquadray: 2 - 4Kquadray: 3 - 4Kquadray: 5 - 4Kquadray: 1 - 1080pquadray: 2 - 1080pquadray: 3 - 1080pquadray: 5 - 1080paom-av1: Speed 0 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 1080pembree: Pathtracer - Crownembree: Pathtracer ISPC - Crownembree: Pathtracer - Asian Dragonembree: Pathtracer - Asian Dragon Objembree: Pathtracer ISPC - Asian Dragonembree: Pathtracer ISPC - Asian Dragon Objsvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 10 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-hevc: 1 - Bosphorus 4Ksvt-hevc: 7 - Bosphorus 4Ksvt-hevc: 10 - Bosphorus 4Ksvt-hevc: 1 - Bosphorus 1080psvt-hevc: 7 - Bosphorus 1080psvt-hevc: 10 - Bosphorus 1080psvt-vp9: VMAF Optimized - Bosphorus 4Ksvt-vp9: VMAF Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Ksvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080psvt-vp9: Visual Quality Optimized - Bosphorus 4Ksvt-vp9: Visual Quality Optimized - Bosphorus 1080px264: Bosphorus 4Kx264: Bosphorus 1080px265: Bosphorus 4Kx265: Bosphorus 1080pospray: particle_volume/ao/real_timeospray: particle_volume/scivis/real_timeospray: particle_volume/pathtracer/real_timeospray: gravity_spheres_volume/dim_512/ao/real_timeospray: gravity_spheres_volume/dim_512/scivis/real_timeospray: gravity_spheres_volume/dim_512/pathtracer/real_timecoremark: CoreMark Size 666 - Iterations Per Secondstockfish: Total Timeasmfish: 1024 Hash Memory, 26 Depthavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-godot: Time To Compilebuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigbuild-llvm: Ninjabuild-llvm: Unix Makefilesbuild-mesa: Time To Compilebuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedprimesieve: 1e12primesieve: 1e13y-cruncher: 1By-cruncher: 500Mospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 2 - 1080p - 16 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerbuild-wasmer: Time To Compiledeepspeech: CPUencode-flac: WAV To FLACencode-mp3: WAV To MP3encode-opus: WAV To Opus Encodeperl-benchmark: Pod2htmlperl-benchmark: Interpretertachyon: Total Timeaircrack-ng: node-web-tooling: clickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, Third Runastcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivetensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2tensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 256 - AlexNettensorflow: CPU - 512 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50tensorflow: CPU - 512 - GoogLeNetsqlite-speedtest: Timed Time - Size 1,000darktable: Boat - CPU-onlydarktable: Masskrug - CPU-onlydarktable: Server Rack - CPU-onlydarktable: Server Room - CPU-onlygimp: resizegimp: rotategimp: auto-levelsgimp: unsharp-maskoctave-benchmark: openscad: Pistolopenscad: Retro Caropenscad: Mini-ITX Caseopenscad: Projector Mount Swivelopenscad: Leonardo Phone Case Slimrawtherapee: Total Benchmark Timedeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamspacy: en_core_web_lgspacy: en_core_web_trfmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDettnn: CPU - DenseNettnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v2tnn: CPU - SqueezeNet v1.1blender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlysysbench: RAM / Memorysysbench: CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUindigobench: CPU - Bedroomindigobench: CPU - Supercarrocksdb: Rand Readrocksdb: Update Randrocksdb: Read While Writingrocksdb: Read Rand Write Randpybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonnatron: Spaceshiponnx: GPT-2 - CPU - Parallelonnx: GPT-2 - CPU - Standardonnx: yolov4 - CPU - Parallelonnx: yolov4 - CPU - Standardonnx: bertsquad-12 - CPU - Parallelonnx: bertsquad-12 - CPU - Standardonnx: fcn-resnet101-11 - CPU - Parallelonnx: fcn-resnet101-11 - CPU - Standardonnx: ArcFace ResNet-100 - CPU - Parallelonnx: ArcFace ResNet-100 - CPU - Standardonnx: super-resolution-10 - CPU - Parallelonnx: super-resolution-10 - CPU - Standardappleseed: Emilyappleseed: Disney Materialappleseed: Material Testerai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorephpbench: PHP Benchmark Suiteencode-wavpack: WAV To WavPackbuild-erlang: Time To Compiledeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream13600K Ai5-13600K13900K13900K R107318770.9006126907278322572125488111.978161.9314.08262.82173.55494.889.8259.673155.845201920401785449.5419.97979.42118.3896.84396.72152.01895.82076.36675.81173.15727.65157.41182.9540855.34721.1938.95519.212315756.9514849.111.6611.5111.3511.180.960.9662.52326.031974114158716.731.981.640.4726.157.656.411.930.39.0639.2916.8866.6184.5886.960.921.370.4954.11150.46178.37187.218.394120.431218.403823.094420.09162.42654.692106.421163.6777.151145.759313.958555.5973.7667.54135.514.76213.14445.194.98320.21100.8332.9783.9279.4844.28190.5324.8581.846.823696.79439167.9813.679013.589174.80927645300.064534097472447844093101.8647.8764.8547.3424.00376.29261.892705.557392.844410.84431.319386.50645.58114.893195.23316.739190.76130.614.35972327382860811968523611012227524111314264728138318361869220429216621932995163586350327358239.96943.9302612.6165.4074.9160.061793020.0028092381.358840912.35921.31215.54235.86233.95205.193376.963510.12691.03021901.7226166.31965431450.812420.75259280111.7133.92150.15170.89186.1170.8924.5870.8224.1574.1924.4678.3825.1580.8337.4852.8752.8960.1392.13413.77710.46210.99712.5064.99555.5862.52424.5474.5479.81339.3918.4939811.89838.1978121.980836.5272191.366854.1785129.153445.177422.1295107.82264.711781.333612.291272.262596.683759.579416.781436.3848192.119529.823533.52778.4456813.24618.1309122.98511882815577.0520.9632.93217.6594.1332.0233.81420.5528.162.832.592.322.873.971.017.6528.525.894.4511.9113.3110.117.14168.172.961764.507180.97441.469143.16478.65223.66113.68886.55271.1421115.2958743.013.181544.522.392047.622.392045.68320.7815.5712.87387.9625.887.98294.4147.4644.39112.41116.3612.47533.429.369303.661.520877.330.672.6457.5411141178815367122989367262107051912817251.451.666.59.7223213.456.190.46.83242164.87364105745076007399729789345177950214931244.528471125.695145132.877144136223103672142245111.921108718090.8998925598278222559625427112.372160.06107.65254.41173.63495.039.8029.729163.2642124203520591778457.4421.87807.42104.0901.64473.72158.31918.52134.66688.61226.95893.15159.31148.25406.454.64708.51044.75520.51236.75746.549.84847.611.7511.5911.4511.260.960.9563.16330.951974114157716.791.971.640.4725.967.646.381.920.299.0239.4116.6566.1682.8684.440.8921.3471.9953.87150.29179.96184.3117.190118.64620.183218.749622.633720.59332.43654.456108.302160.5117.145142.668319.599548.5693.7367.45135.2614.67212.62438.9296.44313.58102.29341.684.51278.844.76188.7125.6881.566.820126.77171166.9973.63553.547174.79907642432.6784093988996349053594100.4948.074.9637.284.04876.60461.525708.178396.822426.47331.7781517110.8276415253165041553915293146.868147.02104.57241.69143.63418.4711.19311.126153.6011769173819601710424.7390.47757.32240.8854.34406.82088.62518.12001.47757.21066.86287.25349.21401.25589.668.94930.71531.25673.21296.85910475032.812.6712.5412.3912.141.02168.39426.962203112167219.162.682.20.6834.5410.098.512.680.319.8144.6818.1358.9878.4779.480.9322.7493.7657.16130.31150.28153.0723.215724.151628.371826.025930.510627.33882.53563.608123.339185.8317.607162.19367.245631.4274.0175.22158.1415.89241.94520.3896.73382.22118.33413.7696.68351.3153.38225.8430.8388.268.365718.35096205.254.487814.312125.87049709677.419355466043685261357787.06542.5254.1836.9213.91370.76458.312698.37344.193361.29530.006314.43843.35414.357181.98113.609168.04931.24714.059576657776836958891896029662118864211298622298814581476170723080463332333847147273455485538.41649.0033611.4624.8984.50.055380450.0005140387.905750724.19923.07247.91258.53258.67261.47894.59112.36631.28452100.0427731.261183.51396.392080.66327922137.79179.09204.28221.3229.3392.6631.3690.1830.0188.3629.4688.3429.2388.8933.1552.6052.2890.2351.80713.5829.94310.73512.3494.96750.4112.27821.9944.0788.75835.1948.41341420.52458.0876123.641435.003341.336426.019652.3987228.338439.863725.0783107.3805111.465177.993312.81787.0272137.781470.77314.125937.626317.808132.137531.11288.40761420.81438.0636124.00982076222399.5791.1813.37321.2165.1652.9242.21826.2758.122.882.262.412.674.091.127.5122.866.034.6310.2512.99.68.01122.13.841543.697159.65437.351126.99571.12187.97100.24728.2240.6220515.63105916.064.131926.162.682927.82.63020.1293.627.1913.41592.96722.5511.06311.287745.07177.351092.3621.92591.2213.5110149.222.3625289.520.943.0757.9321051719196907883700703273906146811415646.347.160.58.7120712.15081.14.9421.31925.9654888875284908707381028649753448754653221.167983133.908788121.884303170728434550160032410.69163.52538.425586116890.8300216915165311554115256148.877148.9899.24236.27145.19415.7411.31211.139144.4611848179218281774427.2387.17738.72271.9847.04358.22082.12561.82011.37625.11078.56245.45321.91219.45583.467.94907.11548.55664.41292.55887.547.55010.512.7112.5312.3912.171.02168.1424.092194334163289.162.672.190.6834.3710.068.482.680.319.7739.718.1458.4377.1778.230.9322.6787.8157.14127.65148.08150.6522.903323.881728.341826.076930.644127.50222.51462.878123.157183.4947.597160.803361.306618.47177.52131.216.02241.35517.6998.59378.3398.54384.7596.52349.3751.52225.430.8386.348.320498.25976204.8094.481674.316895.90448712804.561949401349265314403687.79342.84.2856.6693.98472.41758.251699.218346.586362.94730.387315.72743.62414.713182.80413.686168.73831.32114.23570557406733956321877799676219067111265822122414471459172323193462182367646746275235497338.79949.2867511.4754.8374.4130.055624680.0005204288.241350505.5222.58244.03260.69256.04259.695293.944612.23361.29152282.7931966.22465991553.512007.81591010137.61179.44204.24220.57227.892.7131.2889.8929.8288.2229.4288.129.1888.6933.5382.6212.2980.1211.80313.49210.0810.67212.335.0250.342.27622.054.088.82635.0028.47551410.87998.1464122.748735.1149339.512325.722452.3113228.569340.085424.9391107.7274111.281377.287912.934186.8574137.70370.399714.201137.4171320.191732.100431.14868.43991414.78528.0998123.456320568223610.0071.1833.35421.2565.1582.8612.32527.2017.512.772.212.822.238.561.17.0622.8911.434.810.412.7410.511.55127.572.931551.221159.97837.187129.17771.17187.65100.1163.18438.8696OpenBenchmarking.org

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: BLAS13600K Ai5-13600K13900K13900K R2004006008001000107310878158611. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.28Backend: Eigen13600K Ai5-13600K13900K13900K R40080012001600200018771809171116891. (CXX) g++ options: -flto -pthread

NAMD

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms13600K Ai5-13600K13900K13900K R0.20260.40520.60780.81041.0130.900610.899890.827640.83002

toyBrot Fractal Generator

ToyBrot is a Mandelbrot fractal generator supporting C++ threads/tasks, OpenMP, Intel Threaded Building Blocks (TBB), and other targets. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: TBB13600K Ai5-13600K13900K13900K R6K12K18K24K30K269072559815253169151. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: OpenMP13600K Ai5-13600K13900K13900K R6K12K18K24K30K278322782216504165311. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ Tasks13600K Ai5-13600K13900K13900K R6K12K18K24K30K257212559615539155411. (CXX) g++ options: -O3 -lpthread

OpenBenchmarking.orgms, Fewer Is BettertoyBrot Fractal Generator 2020-11-18Implementation: C++ Threads13600K Ai5-13600K13900K13900K R5K10K15K20K25K254882542715293152561. (CXX) g++ options: -O3 -lpthread

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

Hash: wyhash

13600K A: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

i5-13600K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K R: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: SHA3-256

13600K A: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

i5-13600K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K R: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: Spooky32

13600K A: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

i5-13600K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K R: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: fasthash32

13600K A: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

i5-13600K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K R: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: FarmHash128

13600K A: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

i5-13600K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K R: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: t1ha2_atonce

13600K A: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

i5-13600K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K R: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: FarmHash32 x86_64 AVX

13600K A: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

i5-13600K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K R: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: t1ha0_aes_avx2 x86_64

13600K A: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

i5-13600K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K R: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Hash: MeowHash x86_64 AES-NI

13600K A: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

i5-13600K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

13900K R: The test quit with a non-zero exit status. E: ./smhasher: 3: ./SMHasher: not found

Timed MrBayes Analysis

This test performs a bayesian analysis of a set of primate genome sequences in order to estimate their phylogeny. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny Analysis13600K Ai5-13600K13900K13900K R306090120150111.98112.37146.87148.881. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper Beam13600K Ai5-13600K13900K13900K R4080120160200161.93160.06147.02148.98

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop Test13600K Ai5-13600K13900K13900K R2040608010014.08107.65104.5799.24

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on Windshield13600K Ai5-13600K13900K13900K R60120180240300262.82254.41241.69236.27

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal Installation13600K Ai5-13600K13900K13900K R4080120160200173.55173.63143.63145.19

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop Container13600K Ai5-13600K13900K13900K R110220330440550494.88495.03418.47415.74

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k Atoms13600K Ai5-13600K13900K13900K R36912159.8259.80211.19311.3121. (CXX) g++ options: -O3 -lm -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin Protein13600K Ai5-13600K13900K13900K R36912159.6739.72911.12611.1391. (CXX) g++ options: -O3 -lm -ldl

Java Gradle Build

This test runs Java software project builds using the Gradle build system. It is intended to give developers an idea as to the build performance for development activities and build servers. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: Reactor13600K Ai5-13600K13900K13900K R4080120160200155.85163.26153.60144.46

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H213600K Ai5-13600K13900K13900K R50010001500200025002019212417691848

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Jython13600K Ai5-13600K13900K13900K R4008001200160020002040203517381792

Java Test: Eclipse

13600K A: The test quit with a non-zero exit status.

i5-13600K: The test quit with a non-zero exit status.

13900K: The test quit with a non-zero exit status.

13900K R: The test quit with a non-zero exit status.

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradesoapi5-13600K13900K13900K R400800120016002000205919601828

Java Test: Tradesoap

13600K A: The test quit with a non-zero exit status. E: # A fatal error has been detected by the Java Runtime Environment:

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: Tradebeans13600K Ai5-13600K13900K13900K R4008001200160020001785177817101774

Renaissance

Renaissance is a suite of benchmarks designed to test the Java JVM from Apache Spark to a Twitter-like service to Scala and other features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Scala Dotty13600K Ai5-13600K13900K13900K R100200300400500449.5457.4424.7427.2MIN: 382.14 / MAX: 928.71MIN: 386.83 / MAX: 876.54MIN: 357.3 / MAX: 748.16MIN: 357.58 / MAX: 745.84

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Random Forest13600K Ai5-13600K13900K13900K R90180270360450419.9421.8390.4387.1MIN: 381.62 / MAX: 498.68MIN: 383.07 / MAX: 499.39MIN: 361.83 / MAX: 476.17MIN: 360.05 / MAX: 452.67

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: ALS Movie Lens13600K Ai5-13600K13900K13900K R2K4K6K8K10K7979.47807.47757.37738.7MIN: 7979.39 / MAX: 8676.9MAX: 8535.5MAX: 8498.32MAX: 8461.7

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark ALS13600K Ai5-13600K13900K13900K R50010001500200025002118.32104.02240.82271.9MIN: 2027.89 / MAX: 2219.93MIN: 2042.77 / MAX: 2160.8MIN: 2179.9 / MAX: 2313MIN: 2209.75 / MAX: 2350.07

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark Bayes13600K Ai5-13600K13900K13900K R2004006008001000896.8901.6854.3847.0MIN: 656.87 / MAX: 896.82MIN: 652.2 / MAX: 901.64MIN: 627.97 / MAX: 854.34MIN: 629.37 / MAX: 847.01

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Savina Reactors.IO13600K Ai5-13600K13900K13900K R100020003000400050004396.74473.74406.84358.2MAX: 5845.73MAX: 5993.22MIN: 4406.77 / MAX: 6186.68MIN: 4358.19 / MAX: 6116.36

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Apache Spark PageRank13600K Ai5-13600K13900K13900K R50010001500200025002152.02158.32088.62082.1MIN: 1948.57 / MAX: 2198.38MIN: 1928.09 / MAX: 2193.86MIN: 1926.76 / MAX: 2153.25MIN: 1917.66 / MAX: 2144

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Finagle HTTP Requests13600K Ai5-13600K13900K13900K R50010001500200025001895.81918.52518.12561.8MIN: 1759.76 / MAX: 2097.29MIN: 1787.45 / MAX: 2020.03MIN: 2345.07 / MAX: 2554.71MIN: 2392.59 / MAX: 2600.24

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: In-Memory Database Shootout13600K Ai5-13600K13900K13900K R50010001500200025002076.32134.62001.42011.3MIN: 1870.25 / MAX: 2410.84MIN: 1899.08 / MAX: 2195.05MIN: 1805.63 / MAX: 2241.18MIN: 1818.96 / MAX: 2312.63

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Akka Unbalanced Cobwebbed Tree13600K Ai5-13600K13900K13900K R170034005100680085006675.86688.67757.27625.1MIN: 5051.51MIN: 5113.28 / MAX: 6688.65MIN: 6001.17 / MAX: 7757.23MIN: 5855.12

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.14Test: Genetic Algorithm Using Jenetics + Futures13600K Ai5-13600K13900K13900K R300600900120015001173.11226.91066.81078.5MIN: 1080.27 / MAX: 1197.68MIN: 1201.44 / MAX: 1243.4MIN: 1025.04 / MAX: 1095.71MIN: 1048.78 / MAX: 1097.69

Zstd Compression

This test measures the time needed to compress/decompress a sample file (a FreeBSD disk image - FreeBSD-12.2-RELEASE-amd64-memstick.img) using Zstd compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Compression Speed13600K Ai5-13600K13900K13900K R130026003900520065005727.65893.16287.26245.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3 - Decompression Speed13600K Ai5-13600K13900K13900K R110022003300440055005157.45159.35349.25321.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Compression Speed13600K Ai5-13600K13900K13900K R300600900120015001182.91148.21401.21219.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8 - Decompression Speed13600K Ai5-13600K13900K13900K R120024003600480060005408.05406.45589.65583.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Compression Speed13600K Ai5-13600K13900K13900K R153045607555.354.668.967.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19 - Decompression Speed13600K Ai5-13600K13900K13900K R110022003300440055004721.14708.54930.74907.11. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Compression Speed13600K Ai5-13600K13900K13900K R30060090012001500938.91044.71531.21548.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 3, Long Mode - Decompression Speed13600K Ai5-13600K13900K13900K R120024003600480060005519.25520.55673.25664.41. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Compression Speed13600K Ai5-13600K13900K13900K R300600900120015001231.01236.71296.81292.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 8, Long Mode - Decompression Speed13600K Ai5-13600K13900K13900K R130026003900520065005756.95746.55910.05887.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Compression Speed13600K Ai5-13600K13900K13900K R122436486051.049.847.047.51. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.0Compression Level: 19, Long Mode - Decompression Speed13600K Ai5-13600K13900K13900K R110022003300440055004849.14847.65032.85010.51. (CC) gcc options: -O3 -pthread -lz -llzma

JPEG XL libjxl

The JPEG XL Image Coding System is designed to provide next-generation JPEG image capabilities with JPEG XL offering better image quality and compression over legacy JPEG. This test profile is currently focused on the multi-threaded JPEG XL image encode performance using the reference libjxl library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 8013600K Ai5-13600K13900K13900K R369121511.6611.7512.6712.711. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 9013600K Ai5-13600K13900K13900K R369121511.5111.5912.5412.531. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 8013600K Ai5-13600K13900K13900K R369121511.3511.4512.3912.391. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 9013600K Ai5-13600K13900K13900K R369121511.1811.2612.1412.171. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 10013600K Ai5-13600K13900K13900K R0.22950.4590.68850.9181.14750.960.961.021.021. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 10013600K Ai5-13600K13900K13900K R0.2250.450.6750.91.1250.960.951.001.001. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -latomic

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.

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 113600K Ai5-13600K13900K13900K R153045607562.5263.1668.3968.10

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: All13600K Ai5-13600K13900K13900K R90180270360450326.03330.95426.96424.09

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess Performance13600K Ai5-13600K13900K13900K R500K1000K1500K2000K2500K19741141974114220311221943341. (CC) gcc options: -O3 -march=native

Node.js Express HTTP Load Test

A Node.js Express server with a Node-based loadtest client for facilitating HTTP benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterNode.js Express HTTP Load Test13600K Ai5-13600K13900K13900K R4K8K12K16K20K15871157711672116328

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 4K13600K Ai5-13600K13900K13900K R36912156.736.799.169.161. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 4K13600K Ai5-13600K13900K13900K R0.6031.2061.8092.4123.0151.981.972.682.671. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 4K13600K Ai5-13600K13900K13900K R0.4950.991.4851.982.4751.641.642.202.191. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 4K13600K Ai5-13600K13900K13900K R0.1530.3060.4590.6120.7650.470.470.680.681. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 1080p13600K Ai5-13600K13900K13900K R81624324026.1525.9634.5434.371. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 1080p13600K Ai5-13600K13900K13900K R36912157.657.6410.0910.061. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 1080p13600K Ai5-13600K13900K13900K R2468106.416.388.518.481. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 1080p13600K Ai5-13600K13900K13900K R0.6031.2061.8092.4123.0151.931.922.682.681. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R0.06980.13960.20940.27920.3490.300.290.310.311. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R36912159.069.029.819.771. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R102030405039.2939.4144.6839.701. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R4812162016.8816.6518.1318.141. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R153045607566.6166.1658.9858.431. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R2040608010084.5882.8678.4777.171. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R2040608010086.9684.4479.4878.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R0.20930.41860.62790.83721.04650.900.890.930.931. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R51015202521.3021.3422.7422.671. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R2040608010070.4971.9993.7687.811. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R132639526554.1153.8757.1657.141. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R306090120150150.46150.29130.31127.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R4080120160200178.37179.96150.28148.081. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R4080120160200187.20184.31153.07150.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Crowni5-13600K13900K13900K R61218243017.1923.2222.90MIN: 16.19 / MAX: 18.01MIN: 22.43 / MAX: 24.28MIN: 22.12 / MAX: 24.12

Binary: Pathtracer - Model: Crown

13600K A: The test quit with a non-zero exit status.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Crown13600K Ai5-13600K13900K13900K R61218243018.3918.6524.1523.88MIN: 17.16 / MAX: 19.46MIN: 17.42 / MAX: 19.66MIN: 23.21 / MAX: 25.4MIN: 22.95 / MAX: 25.18

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon13600K Ai5-13600K13900K13900K R71421283520.4320.1828.3728.34MIN: 19.38 / MAX: 20.88MIN: 19.07 / MAX: 20.82MIN: 25.94 / MAX: 30.73MIN: 26.01 / MAX: 30.55

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer - Model: Asian Dragon Obj13600K Ai5-13600K13900K13900K R61218243018.4018.7526.0326.08MIN: 17.47 / MAX: 18.88MIN: 17.66 / MAX: 19.42MIN: 23.96 / MAX: 28.42MIN: 24.12 / MAX: 28.46

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon13600K Ai5-13600K13900K13900K R71421283523.0922.6330.5130.64MIN: 21.7 / MAX: 23.76MIN: 21.12 / MAX: 23.45MIN: 28.47 / MAX: 32.55MIN: 28.62 / MAX: 32.96

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.13Binary: Pathtracer ISPC - Model: Asian Dragon Obj13600K Ai5-13600K13900K13900K R61218243020.0920.5927.3427.50MIN: 18.73 / MAX: 20.73MIN: 19.51 / MAX: 21.33MIN: 25.47 / MAX: 29.51MIN: 25.51 / MAX: 29.58

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R0.57041.14081.71122.28162.8522.4262.4362.5352.5141. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R142842567054.6954.4663.6162.881. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R306090120150106.42108.30123.34123.161. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R4080120160200163.68160.51185.83183.491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R2468107.1517.1457.6077.5971. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R4080120160200145.76142.67162.19160.801. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R80160240320400313.96319.60367.25361.311. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R140280420560700555.60548.57631.43618.471. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

SVT-HEVC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 4K13600K Ai5-13600K13900K0.90231.80462.70693.60924.51153.763.734.011. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

Tuning: 1 - Input: Bosphorus 4K

13900K R: The test quit with a non-zero exit status. E: height not found in y4m header

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R2040608010067.5467.4575.2277.521. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R306090120150135.50135.26158.14131.201. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 1 - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R4812162014.7614.6715.8916.021. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 7 - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R50100150200250213.14212.62241.94241.351. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-HEVC 1.5.0Tuning: 10 - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R110220330440550445.10438.92520.38517.691. (CC) gcc options: -fPIE -fPIC -O3 -O2 -pie -rdynamic -lpthread -lrt

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R2040608010094.9896.4496.7398.591. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R80160240320400320.21313.58382.22378.331. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R306090120150100.80102.29118.3398.541. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R90180270360450332.97341.60413.76384.751. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R2040608010083.9084.5196.6896.521. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R80160240320400279.48278.80351.31349.371. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

x264

This is a multi-threaded test of the x264 video encoder run on the CPU with a choice of 1080p or 4K video input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R122436486044.2844.7653.3851.521. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2022-02-22Video Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R50100150200250190.53188.71225.84225.401. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -flto

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K13600K Ai5-13600K13900K13900K R71421283524.8525.6830.8330.831. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p13600K Ai5-13600K13900K13900K R2040608010081.8481.5688.2686.341. (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 2.10Benchmark: particle_volume/ao/real_time13600K Ai5-13600K13900K13900K R2468106.823696.820128.365718.32049

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/scivis/real_time13600K Ai5-13600K13900K13900K R2468106.794396.771718.350968.25976

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: particle_volume/pathtracer/real_time13600K Ai5-13600K13900K13900K R50100150200250167.98167.00205.25204.81

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/ao/real_time13600K Ai5-13600K13900K13900K R1.00982.01963.02944.03925.0493.679013.635504.487814.48167

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/scivis/real_time13600K Ai5-13600K13900K13900K R0.97131.94262.91393.88524.85653.589173.547174.312124.31689

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.10Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_time13600K Ai5-13600K13900K13900K R1.32852.6573.98555.3146.64254.809274.799075.870495.90448

Coremark

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

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second13600K Ai5-13600K13900K13900K R150K300K450K600K750K645300.06642432.68709677.42712804.561. (CC) gcc options: -O2 -lrt" -lrt

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total Time13600K Ai5-13600K13900K13900K R10M20M30M40M50M409747243988996346604368401349261. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth13600K Ai5-13600K13900K13900K R11M22M33M44M55M47844093490535945261357753144036

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 0.11Encoder Speed: 013600K Ai5-13600K13900K13900K R20406080100101.86100.4987.0787.791. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 213600K Ai5-13600K13900K13900K R112233445547.8848.0742.5342.801. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 613600K Ai5-13600K13900K13900K R1.11672.23343.35014.46685.58354.8544.9634.1834.2851. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, Lossless13600K Ai5-13600K13900K13900K R2468107.3427.2806.9216.6691. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, Lossless13600K Ai5-13600K13900K13900K R0.91081.82162.73243.64324.5544.0034.0483.9133.9841. (CXX) g++ options: -O3 -fPIC -lm

Timed Godot Game Engine Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To Compile13600K Ai5-13600K13900K13900K R2040608010076.2976.6070.7672.42

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 5.18Build: defconfig13600K Ai5-13600K13900K13900K R142842567061.8961.5358.3158.25

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.18Build: allmodconfig13600K Ai5-13600K13900K13900K R150300450600750705.56708.18698.37699.22

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Ninja13600K Ai5-13600K13900K13900K R90180270360450392.84396.82344.19346.59

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 13.0Build System: Unix Makefiles13600K Ai5-13600K13900K13900K R90180270360450410.84426.47361.30362.95

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 21.0Time To Compile13600K Ai5-13600K13900K13900K R71421283531.3231.7730.0130.39

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 18.8Time To Compile13600K A13900K13900K R80160240320400386.51314.44315.73

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 8.1.9Time To Compile13600K A13900K13900K R102030405045.5843.3543.62

Timed CPython Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Default13600K A13900K13900K R4812162014.8914.3614.71

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO Optimized13600K A13900K13900K R4080120160200195.23181.98182.80

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 8.0Length: 1e1213600K A13900K13900K R4812162016.7413.6113.691. (CXX) g++ options: -O3

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e1313600K A13900K13900K R4080120160200190.76168.05168.741. (CXX) g++ options: -O3

Y-Cruncher

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

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1B13600K A13900K13900K R71421283530.6031.2531.32

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500M13600K A13900K13900K R4812162014.3614.0614.23

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 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer13600K A13900K13900K R150030004500600075007232576657051. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer13600K A13900K13900K R160032004800640080007382577757401. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer13600K A13900K13900K R2K4K6K8K10K8608683667331. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer13600K A13900K13900K R30K60K90K120K150K11968595889956321. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer13600K A13900K13900K R50K100K150K200K250K2361101896021877791. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer13600K A13900K13900K R30K60K90K120K150K12227596621967621. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer13600K A13900K13900K R50K100K150K200K250K2411131886421906711. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer13600K A13900K13900K R30K60K90K120K150K1426471129861126581. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer13600K A13900K13900K R60K120K180K240K300K2813832229882212241. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer13600K A13900K13900K R4008001200160020001836145814471. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer13600K A13900K13900K R4008001200160020001869147614591. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer13600K A13900K13900K R50010001500200025002204170717231. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer13600K A13900K13900K R6K12K18K24K30K2921623080231931. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer13600K A13900K13900K R13K26K39K52K65K6219346333462181. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer13600K A13900K13900K R6K12K18K24K30K2995123338236761. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer13600K A13900K13900K R14K28K42K56K70K6358647147467461. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer13600K A13900K13900K R8K16K24K32K40K3503227345275231. (CXX) g++ options: -O3 -ldl

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer13600K A13900K13900K R16K32K48K64K80K7358254855549731. (CXX) g++ options: -O3 -ldl

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

13600K A: The test quit with a non-zero exit status. E: # A fatal error has been detected by the Java Runtime Environment:

Timed Wasmer Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To Compile13600K A13900K13900K R91827364539.9738.4238.801. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU13600K A13900K13900K R112233445543.9349.0049.29

FLAC Audio Encoding

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLAC13600K A13900K13900K R369121512.6211.4611.481. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP313600K A13900K13900K R1.21662.43323.64984.86646.0835.4074.8984.8371. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode13600K A13900K13900K R1.10612.21223.31834.42445.53054.9164.5004.4131. (CXX) g++ options: -fvisibility=hidden -logg -lm

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2html13600K A13900K13900K R0.01390.02780.04170.05560.06950.061793020.055380450.05562468

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Interpreter13600K A13900K13900K R0.00060.00120.00180.00240.0030.002809230.000514030.00052042

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. The sample scene used is the Teapot scene ray-traced to 8K x 8K with 32 samples. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99.2Total Time13600K A13900K13900K R2040608010081.3687.9188.241. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

Aircrack-ng

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

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.713600K A13900K13900K R11K22K33K44K55K40912.3650724.2050505.521. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lsqlite3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark13600K A13900K13900K R61218243021.3123.0722.58

ClickHouse

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

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, First Run / Cold Cache13600K A13900K13900K R50100150200250215.54247.91244.03MIN: 17.58 / MAX: 15000MIN: 19.5 / MAX: 30000MIN: 19.19 / MAX: 120001. ClickHouse server version 22.5.4.19 (official build).

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second Run13600K A13900K13900K R60120180240300235.86258.53260.69MIN: 18.93 / MAX: 30000MIN: 19.7 / MAX: 15000MIN: 19.6 / MAX: 300001. ClickHouse server version 22.5.4.19 (official build).

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third Run13600K A13900K13900K R60120180240300233.95258.67256.04MIN: 19.19 / MAX: 20000MIN: 20.42 / MAX: 20000MIN: 19.45 / MAX: 120001. ClickHouse server version 22.5.4.19 (official build).

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 4.0Preset: Fast13600K A13900K13900K R60120180240300205.19261.48259.701. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Medium13600K A13900K13900K R2040608010076.9694.5993.941. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Thorough13600K A13900K13900K R369121510.1312.3712.231. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: Exhaustive13600K A13900K13900K R0.29060.58120.87181.16241.4531.03021.28451.29151. (CXX) g++ options: -O3 -flto -pthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNet13600K A13900K13900K R50010001500200025001901.722100.042282.79

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V413600K A13900K13900K R7K14K21K28K35K26166.327731.231966.2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: NASNet Mobile13600K A13900K13900K R50K100K150K200K250K196543.061183.5246599.0

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet Float13600K A13900K13900K R300600900120015001450.811396.391553.51

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet Quant13600K A13900K13900K R50010001500200025002420.752080.662007.81

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V213600K A13900K13900K R130K260K390K520K650K259280327922591010

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 too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNet13600K A13900K13900K R306090120150111.70137.79137.61

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNet13600K A13900K13900K R4080120160200133.92179.09179.44

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNet13600K A13900K13900K R4080120160200150.15204.28204.24

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNet13600K A13900K13900K R50100150200250170.89221.30220.57

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: AlexNet13600K A13900K13900K R50100150200250186.11229.33227.80

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNet13600K A13900K13900K R2040608010070.8992.6692.71

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-5013600K A13900K13900K R71421283524.5831.3631.28

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNet13600K A13900K13900K R2040608010070.8290.1889.89

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-5013600K A13900K13900K R71421283524.1530.0129.82

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNet13600K A13900K13900K R2040608010074.1988.3688.22

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-5013600K A13900K13900K R71421283524.4629.4629.42

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNet13600K A13900K13900K R2040608010078.3888.3488.10

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: ResNet-5013600K A13900K13900K R71421283525.1529.2329.18

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 512 - Model: GoogLeNet13600K A13900K13900K R2040608010080.8388.8988.69

Device: CPU - Batch Size: 512 - Model: ResNet-50

13600K A: The test quit with a non-zero exit status.

13900K: The test quit with a non-zero exit status.

13900K R: The test quit with a non-zero exit status.

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,00013600K A13900K13900K R91827364537.4933.1633.541. (CC) gcc options: -O2 -lz

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Boat - Acceleration: CPU-only13600K A13900K13900K R0.64691.29381.94072.58763.23452.8752.6052.621

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Masskrug - Acceleration: CPU-only13600K A13900K13900K R0.65161.30321.95482.60643.2582.8962.2892.298

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Rack - Acceleration: CPU-only13600K A13900K13900K R0.05290.10580.15870.21160.26450.1390.2350.121

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 3.8.1Test: Server Room - Acceleration: CPU-only13600K A13900K13900K R0.48020.96041.44061.92082.4012.1341.8071.803

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: resize13600K A13900K13900K R4812162013.7813.5813.49

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: rotate13600K A13900K13900K R369121510.4629.94310.080

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: auto-levels13600K A13900K13900K R369121511.0010.7410.67

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.30Test: unsharp-mask13600K A13900K13900K R369121512.5112.3512.33

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 6.4.013600K A13900K13900K R1.12952.2593.38854.5185.64754.9954.9675.020

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Pistol13600K A13900K13900K R122436486055.5950.4150.341. OpenSCAD version 2021.01

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Retro Car13600K A13900K13900K R0.56791.13581.70372.27162.83952.5242.2782.2761. OpenSCAD version 2021.01

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX Case13600K A13900K13900K R61218243024.5521.9922.051. OpenSCAD version 2021.01

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount Swivel13600K A13900K13900K R1.02312.04623.06934.09245.11554.5474.0784.0801. OpenSCAD version 2021.01

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Leonardo Phone Case Slim13600K A13900K13900K R36912159.8138.7588.8261. OpenSCAD version 2021.01

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Time13600K A13900K13900K R91827364539.3935.1935.001. RawTherapee, version 5.8, command line.

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R2468108.49398.41348.4755

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R30060090012001500811.901420.521410.88

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream13600K A13900K13900K R2468108.19788.08768.1464

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream13600K A13900K13900K R306090120150121.98123.64122.75

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R81624324036.5335.0035.11

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R70140210280350191.37341.34339.51

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream13900K13900K R61218243026.0225.72

Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream

13600K A: The test quit with a non-zero exit status.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R122436486054.1852.4052.31

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R50100150200250129.15228.34228.57

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream13600K A13900K13900K R102030405045.1839.8640.09

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-Stream13600K A13900K13900K R61218243022.1325.0824.94

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R20406080100107.82107.38107.73

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R2040608010064.71111.47111.28

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream13600K A13900K13900K R2040608010081.3377.9977.29

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream13600K A13900K13900K R369121512.2912.8212.93

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R2040608010072.2687.0386.86

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R30609012015096.68137.78137.70

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream13600K A13900K13900K R163248648059.5870.7770.40

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream13600K A13900K13900K R4812162016.7814.1314.20

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R91827364536.3837.6337.42

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R70140210280350192.12317.81320.19

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream13600K A13900K13900K R71421283529.8232.1432.10

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream13600K A13900K13900K R81624324033.5331.1131.15

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R2468108.44568.40768.4399

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream13600K A13900K13900K R30060090012001500813.251420.811414.79

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream13600K A13900K13900K R2468108.13098.06368.0998

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream13600K A13900K13900K R306090120150122.99124.01123.46

spaCy

The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lg13600K A13900K13900K R4K8K12K16K20K188282076220568

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trf13600K A13900K13900K R5001000150020002500155722392236

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnet13600K A13900K13900K R36912157.0529.57910.007MIN: 6.87 / MAX: 13.4MIN: 9.06 / MAX: 12.8MIN: 9.22 / MAX: 33.961. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV313600K A13900K13900K R0.26620.53240.79861.06481.3310.9631.1811.183MIN: 0.94 / MAX: 1.39MIN: 1.12 / MAX: 3.08MIN: 1.11 / MAX: 17.981. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.113600K A13900K13900K R0.75891.51782.27673.03563.79452.9323.3733.354MIN: 2.86 / MAX: 3.73MIN: 3.27 / MAX: 5.96MIN: 3.18 / MAX: 27.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-5013600K A13900K13900K R51015202517.6621.2221.26MIN: 17.37 / MAX: 23.46MIN: 20.23 / MAX: 32.68MIN: 20.75 / MAX: 82.891. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.013600K A13900K13900K R1.16212.32423.48634.64845.81054.1335.1655.158MIN: 4.06 / MAX: 9.73MIN: 5 / MAX: 8.1MIN: 4.89 / MAX: 30.51. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_22413600K A13900K13900K R0.65791.31581.97372.63163.28952.0232.9242.861MIN: 1.98 / MAX: 7.95MIN: 2.82 / MAX: 5.77MIN: 2.75 / MAX: 26.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.013600K A13900K13900K R0.85821.71642.57463.43284.2913.8142.2182.325MIN: 3.74 / MAX: 10.16MIN: 2.18 / MAX: 5.03MIN: 2.13 / MAX: 26.221. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v313600K A13900K13900K R61218243020.5526.2827.20MIN: 19.85 / MAX: 33.62MIN: 25.74 / MAX: 34.85MIN: 25.48 / MAX: 84.521. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenet13600K A13900K13900K R2468108.168.127.51MIN: 7.91 / MAX: 8.94MIN: 8.02 / MAX: 11.48MIN: 7.2 / MAX: 46.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v213600K A13900K13900K R0.6481.2961.9442.5923.242.832.882.77MIN: 2.74 / MAX: 3.62MIN: 2.84 / MAX: 3.3MIN: 2.73 / MAX: 4.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v313600K A13900K13900K R0.58281.16561.74842.33122.9142.592.262.21MIN: 2.49 / MAX: 3.35MIN: 2.21 / MAX: 3.53MIN: 2.16 / MAX: 2.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v213600K A13900K13900K R0.63451.2691.90352.5383.17252.322.412.82MIN: 2.26 / MAX: 2.82MIN: 2.36 / MAX: 3.64MIN: 2.79 / MAX: 3.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnet13600K A13900K13900K R0.64581.29161.93742.58323.2292.872.672.23MIN: 2.78 / MAX: 3.5MIN: 2.63 / MAX: 3.05MIN: 2.19 / MAX: 2.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b013600K A13900K13900K R2468103.974.098.56MIN: 3.83 / MAX: 4.8MIN: 4.04 / MAX: 4.64MIN: 3.85 / MAX: 1157.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazeface13600K A13900K13900K R0.2520.5040.7561.0081.261.011.121.10MIN: 0.98 / MAX: 1.34MIN: 1.09 / MAX: 1.41MIN: 1.07 / MAX: 1.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenet13600K A13900K13900K R2468107.657.517.06MIN: 7.36 / MAX: 15.72MIN: 7.42 / MAX: 9.14MIN: 6.92 / MAX: 8.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg1613600K A13900K13900K R71421283528.5222.8622.89MIN: 26.42 / MAX: 321.9MIN: 22.49 / MAX: 25.47MIN: 22.33 / MAX: 40.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet1813600K A13900K13900K R36912155.896.0311.43MIN: 5.68 / MAX: 6.8MIN: 5.96 / MAX: 7.7MIN: 6.05 / MAX: 1070.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnet13600K A13900K13900K R1.082.163.244.325.44.454.634.80MIN: 4.32 / MAX: 5.23MIN: 4.56 / MAX: 7.22MIN: 4.72 / MAX: 6.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet5013600K A13900K13900K R369121511.9110.2510.40MIN: 11.62 / MAX: 12.51MIN: 10.14 / MAX: 11.58MIN: 10.2 / MAX: 20.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tiny13600K A13900K13900K R369121513.3112.9012.74MIN: 12.98 / MAX: 13.95MIN: 12.74 / MAX: 14.22MIN: 12.47 / MAX: 30.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssd13600K A13900K13900K R369121510.119.6010.50MIN: 9.79 / MAX: 10.85MIN: 9.46 / MAX: 10.87MIN: 8.72 / MAX: 420.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400m13600K A13900K13900K R36912157.148.0111.55MIN: 6.93 / MAX: 7.88MIN: 7.87 / MAX: 9.45MIN: 7.99 / MAX: 760.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformer13600K A13900K13900K R4080120160200168.17122.10127.57MIN: 162.92 / MAX: 453.72MIN: 120.07 / MAX: 169.61MIN: 120.18 / MAX: 251.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDet13600K A13900K13900K R0.8641.7282.5923.4564.322.963.842.93MIN: 2.88 / MAX: 3.35MIN: 3.79 / MAX: 5.75MIN: 2.88 / MAX: 3.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: DenseNet13600K A13900K13900K R4008001200160020001764.511543.701551.22MIN: 1705.47 / MAX: 1870.65MIN: 1496.06 / MAX: 1636.76MIN: 1496.08 / MAX: 1635.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: MobileNet v213600K A13900K13900K R4080120160200180.97159.65159.98MIN: 168.23 / MAX: 207.33MIN: 152.69 / MAX: 177.88MIN: 153.41 / MAX: 175.921. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v213600K A13900K13900K R91827364541.4737.3537.19MIN: 41.1 / MAX: 42.38MIN: 36.75 / MAX: 38.65MIN: 36.9 / MAX: 38.341. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.3Target: CPU - Model: SqueezeNet v1.113600K A13900K13900K R306090120150143.16127.00129.18MIN: 140.38 / MAX: 147.39MIN: 125.33 / MAX: 130.32MIN: 125 / MAX: 136.731. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -fvisibility=default -O3 -rdynamic -ldl

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-Only13600K A13900K13900K R2040608010078.6571.1271.17

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Classroom - Compute: CPU-Only13600K A13900K13900K R50100150200250223.66187.97187.65

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Fishy Cat - Compute: CPU-Only13600K A13900K13900K R306090120150113.68100.24100.11

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Barbershop - Compute: CPU-Only13600K A13900K2004006008001000886.55728.20

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: Pabellon Barcelona - Compute: CPU-Only13600K A13900K60120180240300271.14240.62

Sysbench

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

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memory13600K A13900K5K10K15K20K25K21115.2920515.631. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPU13600K A13900K20K40K60K80K100K58743.01105916.061. (CC) gcc options: -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPU13600K A13900K0.92931.85862.78793.71724.64653.184.131. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPU13600K A13900K4008001200160020001544.521926.16MIN: 1481.77 / MAX: 1650.78MIN: 1766.06 / MAX: 2069.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPU13600K A13900K0.6031.2061.8092.4123.0152.392.681. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPU13600K A13900K60012001800240030002047.622927.80MIN: 1754.76 / MAX: 2684.24MIN: 2449.49 / MAX: 3630.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPU13600K A13900K0.5851.171.7552.342.9252.392.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPU13600K A13900K60012001800240030002045.683020.10MIN: 1719.02 / MAX: 2706.1MIN: 2516.37 / MAX: 3733.41. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPU13600K A13900K70140210280350320.78293.601. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPU13600K A13900K61218243015.5727.19MIN: 11.78 / MAX: 28.06MIN: 14.86 / MAX: 50.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPU13600K A13900K369121512.8713.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPU13600K A13900K130260390520650387.90592.96MIN: 290.34 / MAX: 782.61MIN: 334.92 / MAX: 1081.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPU13600K A13900K160320480640800625.88722.551. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPU13600K A13900K36912157.9811.06MIN: 6.36 / MAX: 17.98MIN: 6.09 / MAX: 56.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPU13600K A13900K70140210280350294.41311.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPU13600K A13900K2040608010047.4677.00MIN: 24.39 / MAX: 65.06MIN: 43.7 / MAX: 99.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPU13600K A13900K102030405044.3945.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPU13600K A13900K4080120160200112.40177.35MIN: 91.63 / MAX: 160.94MIN: 136.29 / MAX: 238.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPU13600K A13900K20040060080010001116.361092.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPU13600K A13900K51015202512.4721.92MIN: 9.36 / MAX: 29.42MIN: 12.55 / MAX: 43.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPU13600K A13900K130260390520650533.42591.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPU13600K A13900K36912159.3613.51MIN: 7.85 / MAX: 16.55MIN: 9.52 / MAX: 25.421. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPU13600K A13900K2K4K6K8K10K9303.6610149.221. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPU13600K A13900K0.5311.0621.5932.1242.6551.502.36MIN: 1.1 / MAX: 3.03MIN: 1.3 / MAX: 41. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU13600K A13900K5K10K15K20K25K20877.3325289.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU13600K A13900K0.21150.4230.63450.8461.05750.670.94MIN: 0.51 / MAX: 3.31MIN: 0.52 / MAX: 3.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroom13600K A13900K0.69191.38382.07572.76763.45952.6453.075

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercar13600K A13900K2468107.5417.932

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random Read13600K A13900K20M40M60M80M100M1141178811051719191. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update Random13600K A13900K150K300K450K600K750K5367126907881. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read While Writing13600K A13900K800K1600K2400K3200K4000K298936737007031. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write Random13600K A13900K600K1200K1800K2400K3000K262107027390611. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Times13600K A13900K110220330440550519468

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: go13600K A13900K306090120150128114

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to313600K A13900K4080120160200172156

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaos13600K A13900K122436486051.446.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: float13600K A13900K122436486051.647.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbody13600K A13900K153045607566.560.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlib13600K A13900K36912159.728.71

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytrace13600K A13900K50100150200250232207

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loads13600K A13900K369121513.412.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaes13600K A13900K132639526556.150.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compile13600K A13900K2040608010090.481.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startup13600K A13900K2468106.834.94

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_template13600K A13900K61218243024.021.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_python13600K A13900K50100150200250216192

Natron

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

OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: Spaceship13600K A13900K1.32752.6553.98255.316.63754.85.9

ONNX Runtime

ONNX Runtime is developed by Microsoft and partners as a open-source, cross-platform, high performance machine learning inferencing and training accelerator. This test profile runs the ONNX Runtime with various models available from the ONNX Zoo. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Parallel13600K A13900K16003200480064008000736465481. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: GPT-2 - Device: CPU - Executor: Standard13600K A13900K2K4K6K8K10K1057488871. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: Parallel13600K A13900K1102203304405505075281. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: yolov4 - Device: CPU - Executor: Standard13600K A13900K1302603905206506004901. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: Parallel13600K A13900K20040060080010007398701. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: bertsquad-12 - Device: CPU - Executor: Standard13600K A13900K20040060080010009727381. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: Parallel13600K A13900K20406080100971021. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: fcn-resnet101-11 - Device: CPU - Executor: Standard13600K A13900K2040608010089861. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: Parallel13600K A13900K1102203304405503454971. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: ArcFace ResNet-100 - Device: CPU - Executor: Standard13600K A13900K40080012001600200017795341. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: Parallel13600K A13900K11002200330044005500502148751. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

OpenBenchmarking.orgInferences Per Minute, More Is BetterONNX Runtime 1.11Model: super-resolution-10 - Device: CPU - Executor: Standard13600K A13900K11002200330044005500493146531. (CXX) g++ options: -ffunction-sections -fdata-sections -march=native -mtune=native -O3 -flto -fno-fat-lto-objects -ldl -lrt

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Emily13600K A13900K50100150200250244.53221.17

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney Material13600K A13900K306090120150125.70133.91

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material Tester13600K A13900K306090120150132.88121.88

AI Benchmark Alpha

AI Benchmark Alpha is a Python library for evaluating artificial intelligence (AI) performance on diverse hardware platforms and relies upon the TensorFlow machine learning library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference Score13600K A13900K40080012001600200013621707

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Score13600K A13900K600120018002400300023102843

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Score13600K A13900K1000200030004000500036724550

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite13600K A13900K300K600K900K1200K1500K14224511600324

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 5.3WAV To WavPack13600K A13900K369121511.9210.691. (CXX) g++ options: -rdynamic

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To Compile13900K13900K R142842567063.5363.18

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream13900K13900K R91827364538.4338.87

336 Results Shown

LeelaChessZero:
  BLAS
  Eigen
NAMD
toyBrot Fractal Generator:
  TBB
  OpenMP
  C++ Tasks
  C++ Threads
Timed MrBayes Analysis
OpenRadioss:
  Bumper Beam
  Cell Phone Drop Test
  Bird Strike on Windshield
  Rubber O-Ring Seal Installation
  INIVOL and Fluid Structure Interaction Drop Container
LAMMPS Molecular Dynamics Simulator:
  20k Atoms
  Rhodopsin Protein
Java Gradle Build
DaCapo Benchmark:
  H2
  Jython
  Tradesoap
  Tradebeans
Renaissance:
  Scala Dotty
  Rand Forest
  ALS Movie Lens
  Apache Spark ALS
  Apache Spark Bayes
  Savina Reactors.IO
  Apache Spark PageRank
  Finagle HTTP Requests
  In-Memory Database Shootout
  Akka Unbalanced Cobwebbed Tree
  Genetic Algorithm Using Jenetics + Futures
Zstd Compression:
  3 - Compression Speed
  3 - Decompression Speed
  8 - Compression Speed
  8 - Decompression Speed
  19 - Compression Speed
  19 - Decompression Speed
  3, Long Mode - Compression Speed
  3, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
  8, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
  19, Long Mode - Decompression Speed
JPEG XL libjxl:
  PNG - 80
  PNG - 90
  JPEG - 80
  JPEG - 90
  PNG - 100
  JPEG - 100
JPEG XL Decoding libjxl:
  1
  All
TSCP
Node.js Express HTTP Load Test
QuadRay:
  1 - 4K
  2 - 4K
  3 - 4K
  5 - 4K
  1 - 1080p
  2 - 1080p
  3 - 1080p
  5 - 1080p
AOM AV1:
  Speed 0 Two-Pass - Bosphorus 4K
  Speed 4 Two-Pass - Bosphorus 4K
  Speed 6 Realtime - Bosphorus 4K
  Speed 6 Two-Pass - Bosphorus 4K
  Speed 8 Realtime - Bosphorus 4K
  Speed 9 Realtime - Bosphorus 4K
  Speed 10 Realtime - Bosphorus 4K
  Speed 0 Two-Pass - Bosphorus 1080p
  Speed 4 Two-Pass - Bosphorus 1080p
  Speed 6 Realtime - Bosphorus 1080p
  Speed 6 Two-Pass - Bosphorus 1080p
  Speed 8 Realtime - Bosphorus 1080p
  Speed 9 Realtime - Bosphorus 1080p
  Speed 10 Realtime - Bosphorus 1080p
Embree:
  Pathtracer - Crown
  Pathtracer ISPC - Crown
  Pathtracer - Asian Dragon
  Pathtracer - Asian Dragon Obj
  Pathtracer ISPC - Asian Dragon
  Pathtracer ISPC - Asian Dragon Obj
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 10 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
  Preset 10 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
SVT-HEVC:
  1 - Bosphorus 4K
  7 - Bosphorus 4K
  10 - Bosphorus 4K
  1 - Bosphorus 1080p
  7 - Bosphorus 1080p
  10 - Bosphorus 1080p
SVT-VP9:
  VMAF Optimized - Bosphorus 4K
  VMAF Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 4K
  PSNR/SSIM Optimized - Bosphorus 1080p
  Visual Quality Optimized - Bosphorus 4K
  Visual Quality Optimized - Bosphorus 1080p
x264:
  Bosphorus 4K
  Bosphorus 1080p
x265:
  Bosphorus 4K
  Bosphorus 1080p
OSPRay:
  particle_volume/ao/real_time
  particle_volume/scivis/real_time
  particle_volume/pathtracer/real_time
  gravity_spheres_volume/dim_512/ao/real_time
  gravity_spheres_volume/dim_512/scivis/real_time
  gravity_spheres_volume/dim_512/pathtracer/real_time
Coremark
Stockfish
asmFish
libavif avifenc:
  0
  2
  6
  6, Lossless
  10, Lossless
Timed Godot Game Engine Compilation
Timed Linux Kernel Compilation:
  defconfig
  allmodconfig
Timed LLVM Compilation:
  Ninja
  Unix Makefiles
Timed Mesa Compilation
Timed Node.js Compilation
Timed PHP Compilation
Timed CPython Compilation:
  Default
  Released Build, PGO + LTO Optimized
Primesieve:
  1e12
  1e13
Y-Cruncher:
  1B
  500M
OSPRay Studio:
  1 - 4K - 1 - Path Tracer
  2 - 4K - 1 - Path Tracer
  3 - 4K - 1 - Path Tracer
  1 - 4K - 16 - Path Tracer
  1 - 4K - 32 - Path Tracer
  2 - 4K - 16 - Path Tracer
  2 - 4K - 32 - Path Tracer
  3 - 4K - 16 - Path Tracer
  3 - 4K - 32 - Path Tracer
  1 - 1080p - 1 - Path Tracer
  2 - 1080p - 1 - Path Tracer
  3 - 1080p - 1 - Path Tracer
  1 - 1080p - 16 - Path Tracer
  1 - 1080p - 32 - Path Tracer
  2 - 1080p - 16 - Path Tracer
  2 - 1080p - 32 - Path Tracer
  3 - 1080p - 16 - Path Tracer
  3 - 1080p - 32 - Path Tracer
Timed Wasmer Compilation
DeepSpeech
FLAC Audio Encoding
LAME MP3 Encoding
Opus Codec Encoding
Perl Benchmarks:
  Pod2html
  Interpreter
Tachyon
Aircrack-ng
Node.js V8 Web Tooling Benchmark
ClickHouse:
  100M Rows Web Analytics Dataset, First Run / Cold Cache
  100M Rows Web Analytics Dataset, Second Run
  100M Rows Web Analytics Dataset, Third Run
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
TensorFlow:
  CPU - 16 - AlexNet
  CPU - 32 - AlexNet
  CPU - 64 - AlexNet
  CPU - 256 - AlexNet
  CPU - 512 - AlexNet
  CPU - 16 - GoogLeNet
  CPU - 16 - ResNet-50
  CPU - 32 - GoogLeNet
  CPU - 32 - ResNet-50
  CPU - 64 - GoogLeNet
  CPU - 64 - ResNet-50
  CPU - 256 - GoogLeNet
  CPU - 256 - ResNet-50
  CPU - 512 - GoogLeNet
SQLite Speedtest
Darktable:
  Boat - CPU-only
  Masskrug - CPU-only
  Server Rack - CPU-only
  Server Room - CPU-only
GIMP:
  resize
  rotate
  auto-levels
  unsharp-mask
GNU Octave Benchmark
OpenSCAD:
  Pistol
  Retro Car
  Mini-ITX Case
  Projector Mount Swivel
  Leonardo Phone Case Slim
RawTherapee
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    items/sec
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    items/sec
    ms/batch
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    items/sec
    ms/batch
spaCy:
  en_core_web_lg
  en_core_web_trf
Mobile Neural Network:
  nasnet
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
TNN:
  CPU - DenseNet
  CPU - MobileNet v2
  CPU - SqueezeNet v2
  CPU - SqueezeNet v1.1
Blender:
  BMW27 - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  Barbershop - CPU-Only
  Pabellon Barcelona - CPU-Only
Sysbench:
  RAM / Memory
  CPU
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
IndigoBench:
  CPU - Bedroom
  CPU - Supercar
Facebook RocksDB:
  Rand Read
  Update Rand
  Read While Writing
  Read Rand Write Rand
PyBench
PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python
Natron
ONNX Runtime:
  GPT-2 - CPU - Parallel
  GPT-2 - CPU - Standard
  yolov4 - CPU - Parallel
  yolov4 - CPU - Standard
  bertsquad-12 - CPU - Parallel
  bertsquad-12 - CPU - Standard
  fcn-resnet101-11 - CPU - Parallel
  fcn-resnet101-11 - CPU - Standard
  ArcFace ResNet-100 - CPU - Parallel
  ArcFace ResNet-100 - CPU - Standard
  super-resolution-10 - CPU - Parallel
  super-resolution-10 - CPU - Standard
Appleseed:
  Emily
  Disney Material
  Material Tester
AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
PHPBench
WavPack Audio Encoding
Timed Erlang/OTP Compilation
Neural Magic DeepSparse