Xeon Gold Cascade Lake Refresh LTS Linux Benchmarks

Intel Xeon Gold 6226R testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and ASPEED on Ubuntu 20.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2212171-PTS-XEONGOLD08
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Audio Encoding 2 Tests
AV1 3 Tests
C++ Boost Tests 2 Tests
Timed Code Compilation 6 Tests
C/C++ Compiler Tests 9 Tests
Compression Tests 2 Tests
CPU Massive 17 Tests
Creator Workloads 17 Tests
Cryptocurrency Benchmarks, CPU Mining Tests 2 Tests
Cryptography 3 Tests
Database Test Suite 4 Tests
Encoding 5 Tests
Game Development 3 Tests
HPC - High Performance Computing 13 Tests
Imaging 5 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 8 Tests
Molecular Dynamics 2 Tests
Multi-Core 21 Tests
NVIDIA GPU Compute 2 Tests
Intel oneAPI 3 Tests
OpenMPI Tests 4 Tests
Programmer / Developer System Benchmarks 7 Tests
Python Tests 9 Tests
Renderers 3 Tests
Scientific Computing 2 Tests
Server 4 Tests
Server CPU Tests 10 Tests
Video Encoding 3 Tests
Common Workstation Benchmarks 2 Tests

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Linux 5.10.130
December 14 2022
  1 Day, 44 Minutes
Linux 5.15.83
December 15 2022
  1 Day, 1 Hour, 38 Minutes
Linux 6.1
December 16 2022
  1 Day, 2 Hours, 3 Minutes
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  1 Day, 1 Hour, 28 Minutes

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Xeon Gold Cascade Lake Refresh LTS Linux BenchmarksOpenBenchmarking.orgPhoronix Test SuiteIntel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads)Supermicro X11SPL-F v1.02 (3.1 BIOS)Intel Sky Lake-E DMI3 Registers192GB280GB INTEL SSDPED1D280GAASPEEDVE2282 x Intel I210Ubuntu 20.105.10.130-0510130-generic (x86_64)5.15.83-051583-generic (x86_64)6.1.0-phx (x86_64)GNOME Shell 3.38.1X Server 1.20.9GCC 10.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelsDesktopDisplay ServerCompilerFile-SystemScreen ResolutionXeon Gold Cascade Lake Refresh LTS Linux Benchmarks PerformanceSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-mutex --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-poYruo/gcc-10-10.3.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_cpufreq performance - CPU Microcode: 0x5003102- Python 3.8.10- Linux 5.10.130: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Vulnerable: eIBRS with unprivileged eBPF + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled - Linux 5.15.83: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + 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: Mitigation of TSX disabled - Linux 6.1: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable + retbleed: Mitigation of Enhanced IBRS + 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: Mitigation of TSX disabled

Linux 5.10.130Linux 5.15.83Linux 6.1Result OverviewPhoronix Test Suite100%107%115%122%130%ctx_clockDragonflydbJPEG XL Decoding libjxlEnCodecPostgreSQLGraphicsMagickC-BloscStress-NGAOM AV1JPEG XL libjxlFacebook RocksDBTimed Linux Kernel CompilationStargate Digital Audio WorkstationspaCyClickHouseTimed Erlang/OTP CompilationTimed Godot Game Engine Compilationlibavif avifencMobile Neural NetworkTimed Node.js CompilationFLAC Audio EncodingTimed PHP CompilationminiBUDETimed CPython Compilation7-Zip CompressionNCNNBRL-CADNeural Magic DeepSparsesrsRANSVT-AV1nekRSOpenVINOY-CruncherXmrigCpuminer-OptWebP Image EncodeOpenRadiossLAMMPS Molecular Dynamics SimulatorTensorFlowNumenta Anomaly BenchmarkBlenderoneDNNASTC EncoderPrimesieveAircrack-ngOpenFOAMOSPRay StudioNatron

Xeon Gold Cascade Lake Refresh LTS Linux Benchmarksblender: Barbershop - CPU-Onlybuild-linux-kernel: allmodconfiglammps: 20k Atomstensorflow: CPU - 256 - ResNet-50openfoam: drivaerFastback, Medium Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timejpegxl: JPEG - 100build-nodejs: Time To Compileopenradioss: INIVOL and Fluid Structure Interaction Drop Containerjpegxl: PNG - 100blender: Pabellon Barcelona - CPU-Onlybrl-cad: VGR Performance Metricnekrs: TurboPipe Periodicblender: Classroom - CPU-Onlyospray-studio: 3 - 4K - 32 - Path Tracerclickhouse: 100M Rows Web Analytics Dataset, Third Runclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheopenradioss: Bird Strike on Windshieldospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerminibude: OpenMP - BM2minibude: OpenMP - BM2mnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: squeezenetv1.1mnn: mobilenetV3mnn: nasnettensorflow: CPU - 256 - GoogLeNetospray-studio: 2 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 16 - Path Traceropenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUnumenta-nab: KNN CADprimesieve: 1e13tensorflow: CPU - 64 - ResNet-50ospray-studio: 2 - 1080p - 32 - Path Traceropenradioss: Rubber O-Ring Seal Installationjpegxl: JPEG - 80ospray-studio: 1 - 4K - 16 - Path Tracerjpegxl: PNG - 80ospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerncnn: CPU - FastestDetncnn: CPU - vision_transformerncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetopenradioss: Bumper Beamgraphics-magick: Rotateospray-studio: 2 - 4K - 1 - Path Tracerxmrig: Monero - 1Mospray-studio: 1 - 4K - 1 - Path Tracerblender: Fishy Cat - CPU-Onlyavifenc: 0dragonflydb: 50 - 1:1stress-ng: CPU Cachepgbench: 100 - 500 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 100 - Read Onlypgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlyospray-studio: 2 - 4K - 16 - Path Tracerjpegxl: JPEG - 90jpegxl: PNG - 90build-python: Released Build, PGO + LTO Optimizedospray-studio: 3 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracernumenta-nab: Earthgecko Skylinestargate: 192000 - 512blender: BMW27 - CPU-Onlyxmrig: Wownero - 1Mtensorflow: CPU - 256 - AlexNetopenradioss: Cell Phone Drop Testbuild-godot: Time To Compiletensorflow: CPU - 32 - ResNet-50build-erlang: Time To Compilestargate: 192000 - 1024onednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeospray-studio: 1 - 1080p - 32 - Path Traceronednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUbuild-linux-kernel: defconfigavifenc: 2jpegxl-decode: 1stress-ng: Socket Activitystress-ng: Futexstress-ng: Mutexdragonflydb: 200 - 1:1svt-av1: Preset 4 - Bosphorus 4Kdragonflydb: 200 - 5:1dragonflydb: 200 - 1:5openvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUdragonflydb: 50 - 1:5dragonflydb: 50 - 5:1aom-av1: Speed 6 Two-Pass - Bosphorus 4Kstress-ng: CPU Stressopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUbuild-php: Time To Compileencodec: 1.5 kbpsstargate: 96000 - 512openvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUrocksdb: Rand Fillgraphics-magick: Sharpenrocksdb: Rand Fill Syncrocksdb: Update Randrocksdb: Read Rand Write Randgraphics-magick: Enhancedgraphics-magick: Swirlrocksdb: Read While Writinggraphics-magick: Noise-Gaussiangraphics-magick: Resizingrocksdb: Rand Readgraphics-magick: HWB Color Spacetensorflow: CPU - 64 - GoogLeNetastcenc: Exhaustiveencodec: 3 kbpsnumenta-nab: Contextual Anomaly Detector OSEstargate: 96000 - 1024deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamtensorflow: CPU - 16 - ResNet-50webp: Quality 100, Lossless, Highest Compressionsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamspacy: en_core_web_trfspacy: en_core_web_lgdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamstargate: 480000 - 512deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMstargate: 44100 - 512numenta-nab: Bayesian Changepointsrsran: OFDM_Testdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamstargate: 480000 - 1024deepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamminibude: OpenMP - BM1minibude: OpenMP - BM1stargate: 44100 - 1024compress-7zip: Decompression Ratingcompress-7zip: Compression Ratingdeepsparse: 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-Streamencode-flac: WAV To FLACencodec: 24 kbpstensorflow: CPU - 32 - GoogLeNetastcenc: Thoroughtensorflow: CPU - 64 - AlexNetjpegxl-decode: Allencodec: 6 kbpsstress-ng: x86_64 RdRandstress-ng: Context Switchingstress-ng: Semaphoresaircrack-ng: natron: Spaceshipstress-ng: Glibc C String Functionsstress-ng: System V Message Passingstress-ng: NUMAstress-ng: SENDFILEstress-ng: Atomiccpuminer-opt: Myriad-Groestlstress-ng: Malloccpuminer-opt: Skeincoincpuminer-opt: Blake-2 Sstress-ng: IO_uringcpuminer-opt: Deepcoincpuminer-opt: Magistress-ng: Forkingstress-ng: Vector Mathstress-ng: Matrix Mathstress-ng: MEMFDstress-ng: MMAPstress-ng: Cryptostress-ng: Memory Copyingstress-ng: Glibc Qsort Data Sortingcpuminer-opt: scryptcpuminer-opt: x25xcpuminer-opt: Ringcoincpuminer-opt: Triple SHA-256, Onecoincpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Garlicoincpuminer-opt: LBC, LBRY Creditsy-cruncher: 1Brocksdb: Seq Fillsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsvt-av1: Preset 4 - Bosphorus 1080pastcenc: Fastonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsvt-av1: Preset 8 - Bosphorus 4Ktensorflow: CPU - 16 - GoogLeNetwebp: Quality 100, Losslesstensorflow: CPU - 32 - AlexNetblosc: blosclz bitshuffleaom-av1: Speed 8 Realtime - Bosphorus 4Knumenta-nab: Relative Entropyonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUprimesieve: 1e12aom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Ky-cruncher: 500Mtensorflow: CPU - 16 - AlexNetonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUblosc: blosclz shuffleastcenc: Mediumavifenc: 6, Losslessonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUnumenta-nab: Windowed Gaussianwebp: Quality 100, Highest Compressionsvt-av1: Preset 8 - Bosphorus 1080pavifenc: 6avifenc: 10, Losslessbuild-python: Defaultonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUsvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Konednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUwebp: Quality 100lammps: Rhodopsin Proteinsvt-av1: Preset 12 - Bosphorus 1080pwebp: Defaultsvt-av1: Preset 13 - Bosphorus 1080pctx-clock: Context Switch TimeLinux 5.10.130Linux 5.15.83Linux 6.11145.90907.74810.42743.501598.6991241.485510.53453.613443.720.54373.7416777170649766667318.28284699212.42212.60205.76256.4323993523421621.389534.73822.7332.6783.8554.89210.1482.5922.09114.910130.21291722840916.47485.36185.330174.72241.9066823159.757.451214677.7086331465837.02160.2718.8317.1323.6014.205.468.0926.9511.572.387.064.915.664.955.5614.54152.4175772426794.57055144.25145.012978963.31116.3312.986385031.3503702385.244476760.2154654221.864536560.6044139491244287.307.58383.5143478621787801618261778114.8131.536255106.139492.2278.6396.2197.24640.2391.5601.8892681613.121621.84188.2820838.5351165271911.816909.63270.16970.51738.1710160.911498828.708606774.99971725.252.475918617.371021149.382436.303.251047699.23989148.9711.7034273.522400.023.3165.32528.2082.5378911357.375.8822.839643.7612417.7119.11123.3464.8229.37272.098.24969.3325.53625.500.5031167.811.0415259.868.021991.7598319919921646462569521326083155023100899335133365094239976125.790.937129.14155.7342.999611758.027710.5210752.831910.5403144.006255.543337.680.48126.9303.426.001138.4438104.16229.5996103.99609.6153244611314144.241055.42333.72693373.6759108.5475117.3279.83.90955241.39212200000092.214286.656713.577173.60394.19956813.268975.261621.211530.2664.3858938643210635736.4390219.35697.5265132.648521.11034.162121.729.3225243.30208.7929.495252390.565500706.763214994.8350605.5593.6911917.946490812.35358.05241610.68223731.701736322392194.28135103114910336489.1514497374.9456719.5155351.5855915.361008.62390.2018742.674201.02194.36491.90640.062833.093159132188306572.819682024.4491204255131.0307.065.998.67.046193.13154.706990.540654123.3279.834.519114.411.27211.2510158.937.8815.8032.296360.49661314.44348.0548.3411.345166.550.9563990.31323815238.172.159511.3763.101441.252719.0703.0795.4936.6896.63719.4494.158694.29153126.497120.7943.306060.8514559.0010.659415.13614.37423.6491541144.82911.08310.41443.411611.5943242.254870.53453.307445.170.54373.5416685270923633333317.07284853215.02209.58204.26256.1924031123414221.317532.92422.4382.6393.7524.8979.8502.5372.07114.880130.40292062841716.46485.19182.657174.65842.0566817159.157.401214867.7186281465706.91161.2318.6716.8523.8914.215.488.0527.6911.462.296.994.855.594.955.5314.71151.8273172466829.87046144.34144.7091123953.55128.3114.783338241.1734264285.444459220.1945152731.779562300.5264751751245567.257.54383.9623480121767799718261778115.5291.567049106.389531.3279.0596.3197.56840.4191.7541.9896801611.141614.87186.3984338.23578165242908.188912.06670.48871.06537.9017786.172364278.759013626.151060251.052.483993337.901117321.902441.673.251186278.251068662.9111.7734238.772401.743.3065.14328.3492.5790451356.355.8823.313942.9013416.9519.15124.3464.2829.29272.808.34957.0825.62623.360.531007.381.0315258.568.011993.5898284819923496961662621293593144993043279331132165233649957126.290.937528.66055.6593.063511759.352510.4539760.837410.4339146.950554.433238.090.48128.0310.026.477437.7602104.00549.6141104.03769.6111241611236143.806555.58493.79032173.8216108.3377118.3282.73.97259141.43312263333391.986086.940213.867972.05524.27089713.308975.040121.170529.2404.4310988673510805836.4973219.00887.4408134.132621.09833.917122.189.3267242.73209.1829.530252393.882284154.163314461.3850607.7383.6916397.138257907.06335.58285766.99225144.331761020930090.96134833115058332758.8914500373.5560087.3655415.0155890.23879.67381.2318733.104129.34194.88489.83641.612812.343139172184936594.189666324.5621193837131.6307.966.098.66.985193.02444.708340.540452123.9282.034.818115.151.28211.4710555.737.8615.8132.293850.49724814.42947.6648.3311.366166.900.9616820.31600515998.672.121911.4253.085611.251749.0183.0995.0436.7496.66619.4934.203434.31178127.534122.9783.296330.8465439.0210.639418.02214.40425.2631791145.18934.26510.39943.371607.4012242.923070.52459.753446.660.53374.1716833470481500000318.71284235212.92204.43198.51255.8924043023437121.552538.79022.7892.6403.8314.9699.9322.6062.08315.122130.47291652847916.27491.24180.519174.97742.0667837160.277.081230007.3686331466926.96160.3918.7016.7623.3513.835.467.8526.5211.482.367.044.895.634.955.5714.45153.2366872456767.37048144.29145.0361130454.03115.5913.847361091.0704671675.528452230.1915237881.839543650.5134874681263416.947.20385.53477921737980418241779115.8311.520040106.469527.7279.2296.3099.42040.3293.7391.9288141614.071618.86186.9346738.36199365894913.943909.14772.55871.20136.3716990.752433807.147375258.061046604.152.460979549.431099078.402451.103.231180450.091074996.4311.6534059.432415.313.2865.96430.4932.4971641357.105.8923.071843.3202416.1619.17124.9763.9629.86267.628.33957.4125.73620.610.5130632.461.0415144.328.021992.2393528519721845459448521335283114912985392322129965337175872126.490.936830.42655.8153.012585764.742510.4097763.306410.3832147.380454.272638.010.48127.2307.426.865637.2115104.83489.5393103.58239.6532234111231144.211455.43663.71881273.5456108.7443117.1280.23.81726841.93612073333392.046286.883213.901371.88524.20888013.269175.263521.422535.5654.3113828668010696836.5392218.69367.5359132.507721.37636.321123.199.3103242.34181.5432.017252372.292054658.643315660.8850609.2763.6916843.5214896082.79256.61284966.04225639.321747715989079.77134320113755032918.8014420373.4553632.6755344.3255875.18667.82310.2218727.614181.80194.30491.85638.642800.623157232172376571.669601024.4551134991130.3305.565.998.37.024192.99174.980670.541430123.3280.334.723116.161.27211.0610161.336.1015.5252.297080.49677614.42445.4145.9711.294166.310.9634000.31397515256.172.097211.5803.094331.248719.0733.0895.1516.7986.90919.7774.180964.28618126.763121.5963.312440.8318668.9510.608409.12714.38419.750200OpenBenchmarking.org

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyLinux 5.10.130Linux 6.1Linux 5.15.832004006008001000SE +/- 0.49, N = 3SE +/- 0.42, N = 3SE +/- 0.12, N = 31145.901145.181144.82
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyLinux 5.10.130Linux 6.1Linux 5.15.832004006008001000Min: 1145.22 / Avg: 1145.9 / Max: 1146.84Min: 1144.67 / Avg: 1145.18 / Max: 1146.01Min: 1144.61 / Avg: 1144.82 / Max: 1145.02

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigLinux 6.1Linux 5.15.83Linux 5.10.1302004006008001000SE +/- 0.78, N = 3SE +/- 1.08, N = 3SE +/- 0.08, N = 3934.27911.08907.75
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigLinux 6.1Linux 5.15.83Linux 5.10.130160320480640800Min: 932.7 / Avg: 934.26 / Max: 935.05Min: 909.59 / Avg: 911.08 / Max: 913.18Min: 907.59 / Avg: 907.75 / Max: 907.83

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 AtomsLinux 6.1Linux 5.15.83Linux 5.10.1303691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.4010.4110.431. (CXX) g++ options: -O3 -pthread -lm -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: 20k AtomsLinux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 10.37 / Avg: 10.4 / Max: 10.43Min: 10.39 / Avg: 10.41 / Max: 10.43Min: 10.41 / Avg: 10.43 / Max: 10.441. (CXX) g++ options: -O3 -pthread -lm -ldl

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: ResNet-50Linux 6.1Linux 5.15.83Linux 5.10.1301020304050SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 343.3743.4143.50
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: ResNet-50Linux 6.1Linux 5.15.83Linux 5.10.130918273645Min: 43.32 / Avg: 43.37 / Max: 43.42Min: 43.37 / Avg: 43.41 / Max: 43.45Min: 43.47 / Avg: 43.5 / Max: 43.53

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Execution TimeLinux 5.15.83Linux 6.1Linux 5.10.130300600900120015001611.591607.401598.701. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Medium Mesh Size - Mesh TimeLinux 6.1Linux 5.15.83Linux 5.10.13050100150200250242.92242.25241.491. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

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: JPEG - Quality: 100Linux 6.1Linux 5.10.130Linux 5.15.830.11930.23860.35790.47720.5965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.520.530.531. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 100Linux 6.1Linux 5.10.130Linux 5.15.83246810Min: 0.52 / Avg: 0.52 / Max: 0.52Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.52 / Avg: 0.53 / Max: 0.531. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic

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 CompileLinux 6.1Linux 5.10.130Linux 5.15.83100200300400500SE +/- 0.24, N = 3SE +/- 0.23, N = 3SE +/- 0.27, N = 3459.75453.61453.31
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileLinux 6.1Linux 5.10.130Linux 5.15.8380160240320400Min: 459.47 / Avg: 459.75 / Max: 460.24Min: 453.16 / Avg: 453.61 / Max: 453.91Min: 452.88 / Avg: 453.31 / Max: 453.8

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: INIVOL and Fluid Structure Interaction Drop ContainerLinux 6.1Linux 5.15.83Linux 5.10.130100200300400500SE +/- 0.46, N = 3SE +/- 0.43, N = 3SE +/- 0.39, N = 3446.66445.17443.72
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerLinux 6.1Linux 5.15.83Linux 5.10.13080160240320400Min: 445.74 / Avg: 446.66 / Max: 447.22Min: 444.65 / Avg: 445.17 / Max: 446.03Min: 442.96 / Avg: 443.72 / Max: 444.26

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: 100Linux 6.1Linux 5.10.130Linux 5.15.830.12150.2430.36450.4860.6075SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.530.540.541. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 100Linux 6.1Linux 5.10.130Linux 5.15.83246810Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.541. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyLinux 6.1Linux 5.10.130Linux 5.15.8380160240320400SE +/- 0.42, N = 3SE +/- 0.42, N = 3SE +/- 0.29, N = 3374.17373.74373.54
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyLinux 6.1Linux 5.10.130Linux 5.15.8370140210280350Min: 373.63 / Avg: 374.17 / Max: 374.99Min: 372.91 / Avg: 373.74 / Max: 374.22Min: 373.24 / Avg: 373.54 / Max: 374.12

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricLinux 5.15.83Linux 5.10.130Linux 6.140K80K120K160K200K1668521677711683341. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -pthread -ldl -lm

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe PeriodicLinux 6.1Linux 5.10.130Linux 5.15.8315000M30000M45000M60000M75000MSE +/- 48731133.10, N = 3SE +/- 144216808.24, N = 3SE +/- 219477639.96, N = 37048150000070649766667709236333331. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe PeriodicLinux 6.1Linux 5.10.130Linux 5.15.8312000M24000M36000M48000M60000MMin: 70400200000 / Avg: 70481500000 / Max: 70568700000Min: 70472800000 / Avg: 70649766666.67 / Max: 70935500000Min: 70494200000 / Avg: 70923633333.33 / Max: 712171000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -pthread -lmpi_cxx -lmpi

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyLinux 6.1Linux 5.10.130Linux 5.15.8370140210280350SE +/- 0.49, N = 3SE +/- 0.37, N = 3SE +/- 0.22, N = 3318.71318.28317.07
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyLinux 6.1Linux 5.10.130Linux 5.15.8360120180240300Min: 318.07 / Avg: 318.71 / Max: 319.67Min: 317.55 / Avg: 318.28 / Max: 318.68Min: 316.66 / Avg: 317.07 / Max: 317.41

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: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerLinux 5.15.83Linux 5.10.130Linux 6.160K120K180K240K300KSE +/- 192.14, N = 3SE +/- 239.39, N = 3SE +/- 92.98, N = 32848532846992842351. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerLinux 5.15.83Linux 5.10.130Linux 6.150K100K150K200K250KMin: 284534 / Avg: 284852.67 / Max: 285198Min: 284422 / Avg: 284699.33 / Max: 285176Min: 284063 / Avg: 284235.33 / Max: 2843821. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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, Third RunLinux 5.10.130Linux 6.1Linux 5.15.8350100150200250SE +/- 1.01, N = 15SE +/- 1.08, N = 3SE +/- 0.78, N = 14212.42212.92215.02MIN: 22.81 / MAX: 20000MIN: 22.26 / MAX: 20000MIN: 22.68 / MAX: 200001. 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 RunLinux 5.10.130Linux 6.1Linux 5.15.834080120160200Min: 206.34 / Avg: 212.42 / Max: 217.01Min: 210.79 / Avg: 212.92 / Max: 214.34Min: 207.03 / Avg: 215.02 / Max: 217.951. 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 RunLinux 6.1Linux 5.15.83Linux 5.10.13050100150200250SE +/- 4.28, N = 3SE +/- 1.25, N = 14SE +/- 0.88, N = 15204.43209.58212.60MIN: 22.33 / MAX: 20000MIN: 22.65 / MAX: 20000MIN: 22.96 / MAX: 200001. 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 RunLinux 6.1Linux 5.15.83Linux 5.10.1304080120160200Min: 196.03 / Avg: 204.43 / Max: 210.07Min: 200.08 / Avg: 209.58 / Max: 215.12Min: 207.09 / Avg: 212.6 / Max: 217.481. 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, First Run / Cold CacheLinux 6.1Linux 5.15.83Linux 5.10.13050100150200250SE +/- 0.88, N = 3SE +/- 1.58, N = 14SE +/- 1.55, N = 15198.51204.26205.76MIN: 22.14 / MAX: 20000MIN: 22.52 / MAX: 20000MIN: 22.01 / MAX: 200001. 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, First Run / Cold CacheLinux 6.1Linux 5.15.83Linux 5.10.1304080120160200Min: 196.88 / Avg: 198.51 / Max: 199.88Min: 190.28 / Avg: 204.26 / Max: 212.27Min: 192.71 / Avg: 205.76 / Max: 213.521. ClickHouse server version 22.5.4.19 (official build).

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: Bird Strike on WindshieldLinux 5.10.130Linux 5.15.83Linux 6.160120180240300SE +/- 0.38, N = 3SE +/- 0.19, N = 3SE +/- 0.19, N = 3256.43256.19255.89
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bird Strike on WindshieldLinux 5.10.130Linux 5.15.83Linux 6.150100150200250Min: 255.9 / Avg: 256.43 / Max: 257.17Min: 255.88 / Avg: 256.19 / Max: 256.54Min: 255.51 / Avg: 255.89 / Max: 256.16

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: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.13050K100K150K200K250KSE +/- 131.54, N = 3SE +/- 62.00, N = 3SE +/- 103.12, N = 32404302403112399351. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.13040K80K120K160K200KMin: 240252 / Avg: 240430.33 / Max: 240687Min: 240187 / Avg: 240311 / Max: 240374Min: 239786 / Avg: 239935 / Max: 2401331. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8350K100K150K200K250KSE +/- 262.34, N = 3SE +/- 254.40, N = 3SE +/- 19.15, N = 32343712342162341421. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8340K80K120K160K200KMin: 233942 / Avg: 234370.67 / Max: 234847Min: 233952 / Avg: 234216.33 / Max: 234725Min: 234106 / Avg: 234142.33 / Max: 2341711. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

miniBUDE

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

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Linux 5.15.83Linux 5.10.130Linux 6.1510152025SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 321.3221.3921.551. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Linux 5.15.83Linux 5.10.130Linux 6.1510152025Min: 21.32 / Avg: 21.32 / Max: 21.32Min: 21.38 / Avg: 21.39 / Max: 21.4Min: 21.54 / Avg: 21.55 / Max: 21.561. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Linux 5.15.83Linux 5.10.130Linux 6.1120240360480600SE +/- 0.02, N = 3SE +/- 0.18, N = 3SE +/- 0.18, N = 3532.92534.74538.791. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Linux 5.15.83Linux 5.10.130Linux 6.1100200300400500Min: 532.88 / Avg: 532.92 / Max: 532.95Min: 534.41 / Avg: 534.74 / Max: 535.02Min: 538.45 / Avg: 538.79 / Max: 539.041. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

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: inception-v3Linux 6.1Linux 5.10.130Linux 5.15.83510152025SE +/- 0.32, N = 9SE +/- 0.36, N = 3SE +/- 0.38, N = 322.7922.7322.44MIN: 21.59 / MAX: 102.89MIN: 22.05 / MAX: 36.04MIN: 21.58 / MAX: 36.881. (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-v3Linux 6.1Linux 5.10.130Linux 5.15.83510152025Min: 21.82 / Avg: 22.79 / Max: 24.6Min: 22.24 / Avg: 22.73 / Max: 23.43Min: 21.8 / Avg: 22.44 / Max: 23.111. (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-v1-1.0Linux 5.10.130Linux 6.1Linux 5.15.830.60261.20521.80782.41043.013SE +/- 0.044, N = 3SE +/- 0.028, N = 9SE +/- 0.047, N = 32.6782.6402.639MIN: 2.4 / MAX: 5.22MIN: 2.36 / MAX: 16.9MIN: 2.38 / MAX: 3.731. (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-v1-1.0Linux 5.10.130Linux 6.1Linux 5.15.83246810Min: 2.59 / Avg: 2.68 / Max: 2.73Min: 2.57 / Avg: 2.64 / Max: 2.8Min: 2.57 / Avg: 2.64 / Max: 2.731. (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_224Linux 5.10.130Linux 6.1Linux 5.15.830.86741.73482.60223.46964.337SE +/- 0.007, N = 3SE +/- 0.020, N = 9SE +/- 0.020, N = 33.8553.8313.752MIN: 3.65 / MAX: 16.53MIN: 3.59 / MAX: 5.87MIN: 3.56 / MAX: 17.61. (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_224Linux 5.10.130Linux 6.1Linux 5.15.83246810Min: 3.85 / Avg: 3.86 / Max: 3.87Min: 3.77 / Avg: 3.83 / Max: 3.91Min: 3.73 / Avg: 3.75 / Max: 3.791. (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: SqueezeNetV1.0Linux 6.1Linux 5.15.83Linux 5.10.1301.1182.2363.3544.4725.59SE +/- 0.019, N = 9SE +/- 0.009, N = 3SE +/- 0.043, N = 34.9694.8974.892MIN: 4.87 / MAX: 7.19MIN: 4.84 / MAX: 18.25MIN: 4.79 / MAX: 17.741. (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: SqueezeNetV1.0Linux 6.1Linux 5.15.83Linux 5.10.130246810Min: 4.92 / Avg: 4.97 / Max: 5.06Min: 4.89 / Avg: 4.9 / Max: 4.92Min: 4.85 / Avg: 4.89 / Max: 4.981. (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: resnet-v2-50Linux 5.10.130Linux 6.1Linux 5.15.833691215SE +/- 0.099, N = 3SE +/- 0.037, N = 9SE +/- 0.025, N = 310.1489.9329.850MIN: 9.88 / MAX: 23.7MIN: 9.74 / MAX: 23.92MIN: 9.74 / MAX: 31.531. (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-v2-50Linux 5.10.130Linux 6.1Linux 5.15.833691215Min: 9.97 / Avg: 10.15 / Max: 10.31Min: 9.82 / Avg: 9.93 / Max: 10.17Min: 9.8 / Avg: 9.85 / Max: 9.891. (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: squeezenetv1.1Linux 6.1Linux 5.10.130Linux 5.15.830.58641.17281.75922.34562.932SE +/- 0.012, N = 9SE +/- 0.020, N = 3SE +/- 0.015, N = 32.6062.5922.537MIN: 2.49 / MAX: 16.46MIN: 2.48 / MAX: 5.22MIN: 2.47 / MAX: 4.141. (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: squeezenetv1.1Linux 6.1Linux 5.10.130Linux 5.15.83246810Min: 2.56 / Avg: 2.61 / Max: 2.66Min: 2.56 / Avg: 2.59 / Max: 2.63Min: 2.52 / Avg: 2.54 / Max: 2.571. (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: mobilenetV3Linux 5.10.130Linux 6.1Linux 5.15.830.47050.9411.41151.8822.3525SE +/- 0.010, N = 3SE +/- 0.009, N = 9SE +/- 0.009, N = 32.0912.0832.071MIN: 1.99 / MAX: 3.26MIN: 1.98 / MAX: 6.07MIN: 1.99 / MAX: 4.731. (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: mobilenetV3Linux 5.10.130Linux 6.1Linux 5.15.83246810Min: 2.07 / Avg: 2.09 / Max: 2.11Min: 2.06 / Avg: 2.08 / Max: 2.14Min: 2.05 / Avg: 2.07 / Max: 2.081. (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: nasnetLinux 6.1Linux 5.10.130Linux 5.15.8348121620SE +/- 0.15, N = 9SE +/- 0.12, N = 3SE +/- 0.10, N = 315.1214.9114.88MIN: 14.55 / MAX: 29.56MIN: 14.46 / MAX: 28.47MIN: 14.51 / MAX: 33.861. (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: nasnetLinux 6.1Linux 5.10.130Linux 5.15.8348121620Min: 14.82 / Avg: 15.12 / Max: 16.07Min: 14.75 / Avg: 14.91 / Max: 15.15Min: 14.78 / Avg: 14.88 / Max: 15.081. (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

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: 256 - Model: GoogLeNetLinux 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3130.21130.40130.47
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: GoogLeNetLinux 5.10.130Linux 5.15.83Linux 6.120406080100Min: 130.15 / Avg: 130.21 / Max: 130.25Min: 130.35 / Avg: 130.4 / Max: 130.49Min: 130.43 / Avg: 130.47 / Max: 130.53

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: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerLinux 5.15.83Linux 5.10.130Linux 6.16K12K18K24K30KSE +/- 5.24, N = 3SE +/- 28.26, N = 32920629172291651. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerLinux 5.15.83Linux 5.10.130Linux 6.15K10K15K20K25KMin: 29196 / Avg: 29205.67 / Max: 29214Min: 29131 / Avg: 29171.67 / Max: 292261. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.1306K12K18K24K30KSE +/- 9.70, N = 3SE +/- 21.40, N = 3SE +/- 8.11, N = 32847928417284091. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.1305K10K15K20K25KMin: 28464 / Avg: 28478.67 / Max: 28497Min: 28393 / Avg: 28417.33 / Max: 28460Min: 28396 / Avg: 28409.33 / Max: 284241. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.148121620SE +/- 0.14, N = 13SE +/- 0.16, N = 3SE +/- 0.15, N = 1116.4716.4616.27MIN: 7.86 / MAX: 36.14MIN: 9.28 / MAX: 33.36MIN: 7.67 / MAX: 36.051. (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: CPULinux 5.10.130Linux 5.15.83Linux 6.148121620Min: 15.86 / Avg: 16.47 / Max: 17.48Min: 16.26 / Avg: 16.46 / Max: 16.77Min: 15.69 / Avg: 16.27 / Max: 17.341. (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: CPULinux 5.15.83Linux 5.10.130Linux 6.1110220330440550SE +/- 4.62, N = 3SE +/- 4.00, N = 13SE +/- 4.29, N = 11485.19485.36491.241. (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: CPULinux 5.15.83Linux 5.10.130Linux 6.190180270360450Min: 476.11 / Avg: 485.19 / Max: 491.18Min: 456.91 / Avg: 485.36 / Max: 503.34Min: 460.6 / Avg: 491.24 / Max: 508.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADLinux 5.10.130Linux 5.15.83Linux 6.14080120160200SE +/- 0.84, N = 3SE +/- 0.59, N = 3SE +/- 0.44, N = 3185.33182.66180.52
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADLinux 5.10.130Linux 5.15.83Linux 6.1306090120150Min: 183.85 / Avg: 185.33 / Max: 186.74Min: 181.47 / Avg: 182.66 / Max: 183.36Min: 179.67 / Avg: 180.52 / Max: 181.14

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: 1e13Linux 6.1Linux 5.10.130Linux 5.15.834080120160200SE +/- 0.47, N = 3SE +/- 0.36, N = 3SE +/- 0.38, N = 3174.98174.72174.661. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e13Linux 6.1Linux 5.10.130Linux 5.15.83306090120150Min: 174.04 / Avg: 174.98 / Max: 175.56Min: 174.02 / Avg: 174.72 / Max: 175.21Min: 173.91 / Avg: 174.66 / Max: 175.111. (CXX) g++ options: -O3 -lpthread

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: 64 - Model: ResNet-50Linux 5.10.130Linux 5.15.83Linux 6.11020304050SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 341.9042.0542.06
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: ResNet-50Linux 5.10.130Linux 5.15.83Linux 6.1918273645Min: 41.86 / Avg: 41.9 / Max: 41.94Min: 42.01 / Avg: 42.05 / Max: 42.08Min: 41.97 / Avg: 42.06 / Max: 42.14

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: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8315K30K45K60K75KSE +/- 539.86, N = 14SE +/- 35.09, N = 3SE +/- 44.92, N = 36783766823668171. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8312K24K36K48K60KMin: 66735 / Avg: 67836.86 / Max: 73550Min: 66774 / Avg: 66823 / Max: 66891Min: 66752 / Avg: 66816.67 / Max: 669031. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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: Rubber O-Ring Seal InstallationLinux 6.1Linux 5.10.130Linux 5.15.834080120160200SE +/- 0.29, N = 3SE +/- 0.08, N = 3SE +/- 0.22, N = 3160.27159.75159.15
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Rubber O-Ring Seal InstallationLinux 6.1Linux 5.10.130Linux 5.15.83306090120150Min: 159.89 / Avg: 160.27 / Max: 160.84Min: 159.59 / Avg: 159.75 / Max: 159.88Min: 158.73 / Avg: 159.15 / Max: 159.49

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: JPEG - Quality: 80Linux 6.1Linux 5.15.83Linux 5.10.130246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 37.087.407.451. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 80Linux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 7.06 / Avg: 7.08 / Max: 7.1Min: 7.39 / Avg: 7.4 / Max: 7.4Min: 7.44 / Avg: 7.45 / Max: 7.461. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic

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: 16 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.13030K60K90K120K150KSE +/- 1530.19, N = 5SE +/- 135.52, N = 3SE +/- 26.43, N = 31230001214861214671. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.13020K40K60K80K100KMin: 121363 / Avg: 123000.4 / Max: 129119Min: 121239 / Avg: 121486.33 / Max: 121706Min: 121434 / Avg: 121466.67 / Max: 1215191. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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: 80Linux 6.1Linux 5.10.130Linux 5.15.83246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.367.707.711. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 80Linux 6.1Linux 5.10.130Linux 5.15.833691215Min: 7.34 / Avg: 7.36 / Max: 7.37Min: 7.69 / Avg: 7.7 / Max: 7.71Min: 7.7 / Avg: 7.71 / Max: 7.721. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic

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: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.832K4K6K8K10KSE +/- 9.45, N = 3SE +/- 5.51, N = 38633863386281. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8315003000450060007500Min: 8619 / Avg: 8633 / Max: 8651Min: 8624 / Avg: 8633 / Max: 86431. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8330K60K90K120K150KSE +/- 27.67, N = 3SE +/- 58.33, N = 3SE +/- 69.67, N = 31466921465831465701. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8330K60K90K120K150KMin: 146663 / Avg: 146691.67 / Max: 146747Min: 146475 / Avg: 146583.33 / Max: 146675Min: 146432 / Avg: 146570.33 / Max: 1466541. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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: FastestDetLinux 5.10.130Linux 6.1Linux 5.15.83246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 67.026.966.91MIN: 6.87 / MAX: 7.89MIN: 6.86 / MAX: 7.19MIN: 6.78 / MAX: 7.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetLinux 5.10.130Linux 6.1Linux 5.15.833691215Min: 6.96 / Avg: 7.02 / Max: 7.06Min: 6.94 / Avg: 6.96 / Max: 7Min: 6.86 / Avg: 6.91 / Max: 71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerLinux 5.15.83Linux 6.1Linux 5.10.1304080120160200SE +/- 0.40, N = 6SE +/- 0.61, N = 3SE +/- 0.96, N = 3161.23160.39160.27MIN: 158.43 / MAX: 179.56MIN: 158.59 / MAX: 172.13MIN: 158.5 / MAX: 166.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerLinux 5.15.83Linux 6.1Linux 5.10.130306090120150Min: 160.15 / Avg: 161.23 / Max: 162.61Min: 159.16 / Avg: 160.39 / Max: 161.01Min: 158.99 / Avg: 160.27 / Max: 162.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mLinux 5.10.130Linux 6.1Linux 5.15.83510152025SE +/- 0.15, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 618.8318.7018.67MIN: 18.43 / MAX: 58.94MIN: 18.43 / MAX: 19.5MIN: 18.39 / MAX: 21.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mLinux 5.10.130Linux 6.1Linux 5.15.83510152025Min: 18.67 / Avg: 18.83 / Max: 19.13Min: 18.64 / Avg: 18.7 / Max: 18.75Min: 18.63 / Avg: 18.67 / Max: 18.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdLinux 5.10.130Linux 5.15.83Linux 6.148121620SE +/- 0.12, N = 3SE +/- 0.12, N = 6SE +/- 0.14, N = 317.1316.8516.76MIN: 16.75 / MAX: 17.86MIN: 16.41 / MAX: 19.23MIN: 16.41 / MAX: 17.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdLinux 5.10.130Linux 5.15.83Linux 6.148121620Min: 16.92 / Avg: 17.13 / Max: 17.34Min: 16.55 / Avg: 16.85 / Max: 17.27Min: 16.57 / Avg: 16.76 / Max: 17.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyLinux 5.15.83Linux 5.10.130Linux 6.1612182430SE +/- 0.39, N = 6SE +/- 0.07, N = 3SE +/- 0.09, N = 323.8923.6023.35MIN: 22.91 / MAX: 31.78MIN: 23.16 / MAX: 27.3MIN: 23.01 / MAX: 26.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyLinux 5.15.83Linux 5.10.130Linux 6.1612182430Min: 23.13 / Avg: 23.89 / Max: 25.73Min: 23.46 / Avg: 23.6 / Max: 23.68Min: 23.18 / Avg: 23.35 / Max: 23.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Linux 5.15.83Linux 5.10.130Linux 6.148121620SE +/- 0.34, N = 6SE +/- 0.05, N = 3SE +/- 0.13, N = 314.2114.2013.83MIN: 13.45 / MAX: 157.72MIN: 13.99 / MAX: 15.03MIN: 13.51 / MAX: 26.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Linux 5.15.83Linux 5.10.130Linux 6.148121620Min: 13.59 / Avg: 14.21 / Max: 15.82Min: 14.14 / Avg: 14.2 / Max: 14.3Min: 13.68 / Avg: 13.83 / Max: 14.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetLinux 5.15.83Linux 6.1Linux 5.10.1301.2332.4663.6994.9326.165SE +/- 0.08, N = 6SE +/- 0.01, N = 3SE +/- 0.01, N = 35.485.465.46MIN: 5.3 / MAX: 6.07MIN: 5.35 / MAX: 9.83MIN: 5.35 / MAX: 5.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetLinux 5.15.83Linux 6.1Linux 5.10.130246810Min: 5.38 / Avg: 5.48 / Max: 5.88Min: 5.43 / Avg: 5.46 / Max: 5.47Min: 5.44 / Avg: 5.46 / Max: 5.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18Linux 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.04, N = 3SE +/- 0.22, N = 6SE +/- 0.01, N = 38.098.057.85MIN: 7.89 / MAX: 9.29MIN: 7.68 / MAX: 9.97MIN: 7.74 / MAX: 10.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18Linux 5.10.130Linux 5.15.83Linux 6.13691215Min: 8.03 / Avg: 8.09 / Max: 8.16Min: 7.77 / Avg: 8.05 / Max: 9.13Min: 7.83 / Avg: 7.85 / Max: 7.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Linux 5.15.83Linux 5.10.130Linux 6.1714212835SE +/- 1.00, N = 6SE +/- 0.13, N = 3SE +/- 0.10, N = 327.6926.9526.52MIN: 26.21 / MAX: 33.47MIN: 26.65 / MAX: 27.51MIN: 26.22 / MAX: 27.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Linux 5.15.83Linux 5.10.130Linux 6.1612182430Min: 26.34 / Avg: 27.69 / Max: 32.67Min: 26.81 / Avg: 26.95 / Max: 27.2Min: 26.35 / Avg: 26.52 / Max: 26.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetLinux 5.10.130Linux 6.1Linux 5.15.833691215SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 611.5711.4811.46MIN: 11.39 / MAX: 11.86MIN: 11.33 / MAX: 12.45MIN: 11.27 / MAX: 12.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetLinux 5.10.130Linux 6.1Linux 5.15.833691215Min: 11.51 / Avg: 11.57 / Max: 11.68Min: 11.46 / Avg: 11.48 / Max: 11.51Min: 11.4 / Avg: 11.46 / Max: 11.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceLinux 5.10.130Linux 6.1Linux 5.15.830.53551.0711.60652.1422.6775SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 62.382.362.29MIN: 2.2 / MAX: 2.75MIN: 2.3 / MAX: 2.62MIN: 2.23 / MAX: 3.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceLinux 5.10.130Linux 6.1Linux 5.15.83246810Min: 2.37 / Avg: 2.38 / Max: 2.39Min: 2.35 / Avg: 2.36 / Max: 2.37Min: 2.29 / Avg: 2.29 / Max: 2.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Linux 5.10.130Linux 6.1Linux 5.15.83246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 67.067.046.99MIN: 6.92 / MAX: 7.42MIN: 6.92 / MAX: 7.34MIN: 6.89 / MAX: 8.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Linux 5.10.130Linux 6.1Linux 5.15.833691215Min: 7.03 / Avg: 7.06 / Max: 7.08Min: 7.03 / Avg: 7.04 / Max: 7.05Min: 6.97 / Avg: 6.99 / Max: 7.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetLinux 5.10.130Linux 6.1Linux 5.15.831.10482.20963.31444.41925.524SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 64.914.894.85MIN: 4.74 / MAX: 16.51MIN: 4.81 / MAX: 5.21MIN: 4.72 / MAX: 7.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetLinux 5.10.130Linux 6.1Linux 5.15.83246810Min: 4.86 / Avg: 4.91 / Max: 4.95Min: 4.88 / Avg: 4.89 / Max: 4.9Min: 4.84 / Avg: 4.85 / Max: 4.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Linux 5.10.130Linux 6.1Linux 5.15.831.27352.5473.82055.0946.3675SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 65.665.635.59MIN: 5.54 / MAX: 17.07MIN: 5.53 / MAX: 6.55MIN: 5.48 / MAX: 6.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Linux 5.10.130Linux 6.1Linux 5.15.83246810Min: 5.63 / Avg: 5.66 / Max: 5.68Min: 5.61 / Avg: 5.63 / Max: 5.64Min: 5.55 / Avg: 5.59 / Max: 5.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Linux 6.1Linux 5.15.83Linux 5.10.1301.11382.22763.34144.45525.569SE +/- 0.01, N = 3SE +/- 0.04, N = 6SE +/- 0.01, N = 34.954.954.95MIN: 4.86 / MAX: 5.26MIN: 4.8 / MAX: 63.45MIN: 4.85 / MAX: 5.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Linux 6.1Linux 5.15.83Linux 5.10.130246810Min: 4.94 / Avg: 4.95 / Max: 4.97Min: 4.89 / Avg: 4.95 / Max: 5.16Min: 4.94 / Avg: 4.95 / Max: 4.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Linux 6.1Linux 5.10.130Linux 5.15.831.25332.50663.75995.01326.2665SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 65.575.565.53MIN: 5.49 / MAX: 6.18MIN: 5.44 / MAX: 6.03MIN: 5.41 / MAX: 10.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Linux 6.1Linux 5.10.130Linux 5.15.83246810Min: 5.56 / Avg: 5.57 / Max: 5.58Min: 5.55 / Avg: 5.56 / Max: 5.57Min: 5.51 / Avg: 5.53 / Max: 5.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetLinux 5.15.83Linux 5.10.130Linux 6.148121620SE +/- 0.18, N = 6SE +/- 0.03, N = 3SE +/- 0.01, N = 314.7114.5414.45MIN: 14.26 / MAX: 15.75MIN: 14.37 / MAX: 17.06MIN: 14.31 / MAX: 15.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetLinux 5.15.83Linux 5.10.130Linux 6.148121620Min: 14.38 / Avg: 14.71 / Max: 15.52Min: 14.51 / Avg: 14.54 / Max: 14.59Min: 14.43 / Avg: 14.45 / Max: 14.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

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 BeamLinux 6.1Linux 5.10.130Linux 5.15.83306090120150SE +/- 0.17, N = 3SE +/- 0.18, N = 3SE +/- 0.14, N = 3153.23152.41151.82
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Bumper BeamLinux 6.1Linux 5.10.130Linux 5.15.83306090120150Min: 153 / Avg: 153.23 / Max: 153.57Min: 152.18 / Avg: 152.41 / Max: 152.77Min: 151.53 / Avg: 151.82 / Max: 151.99

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateLinux 6.1Linux 5.15.83Linux 5.10.130160320480640800SE +/- 5.43, N = 15SE +/- 1.76, N = 3SE +/- 9.97, N = 56687317571. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateLinux 6.1Linux 5.15.83Linux 5.10.130130260390520650Min: 623 / Avg: 668.2 / Max: 703Min: 728 / Avg: 730.67 / Max: 734Min: 722 / Avg: 757.2 / Max: 7821. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerLinux 5.15.83Linux 6.1Linux 5.10.13016003200480064008000SE +/- 3.79, N = 3SE +/- 2.52, N = 3SE +/- 2.33, N = 37246724572421. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerLinux 5.15.83Linux 6.1Linux 5.10.13013002600390052006500Min: 7239 / Avg: 7246 / Max: 7252Min: 7240 / Avg: 7245 / Max: 7248Min: 7238 / Avg: 7241.67 / Max: 72461. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MLinux 6.1Linux 5.10.130Linux 5.15.8315003000450060007500SE +/- 54.19, N = 3SE +/- 3.14, N = 3SE +/- 23.74, N = 36767.36794.56829.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Monero - Hash Count: 1MLinux 6.1Linux 5.10.130Linux 5.15.8312002400360048006000Min: 6659.1 / Avg: 6767.27 / Max: 6827.2Min: 6790.1 / Avg: 6794.53 / Max: 6800.6Min: 6788 / Avg: 6829.83 / Max: 6870.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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 TracerLinux 5.10.130Linux 6.1Linux 5.15.8315003000450060007500SE +/- 10.90, N = 3SE +/- 1.45, N = 37055704870461. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path TracerLinux 5.10.130Linux 6.1Linux 5.15.8312002400360048006000Min: 7039 / Avg: 7055.33 / Max: 7076Min: 7044 / Avg: 7046.33 / Max: 70491. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyLinux 5.15.83Linux 6.1Linux 5.10.130306090120150SE +/- 0.30, N = 3SE +/- 0.09, N = 3SE +/- 0.12, N = 3144.34144.29144.25
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyLinux 5.15.83Linux 6.1Linux 5.10.130306090120150Min: 143.77 / Avg: 144.34 / Max: 144.76Min: 144.12 / Avg: 144.29 / Max: 144.41Min: 144.02 / Avg: 144.25 / Max: 144.41

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: 0Linux 6.1Linux 5.10.130Linux 5.15.83306090120150SE +/- 0.17, N = 3SE +/- 0.40, N = 3SE +/- 0.50, N = 3145.04145.01144.711. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 0Linux 6.1Linux 5.10.130Linux 5.15.83306090120150Min: 144.78 / Avg: 145.04 / Max: 145.35Min: 144.4 / Avg: 145.01 / Max: 145.77Min: 144.13 / Avg: 144.71 / Max: 145.711. (CXX) g++ options: -O3 -fPIC -lm

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:1Linux 5.10.130Linux 5.15.83Linux 6.1200K400K600K800K1000KSE +/- 19609.96, N = 13SE +/- 643.98, N = 3SE +/- 1471.72, N = 3978963.311123953.551130454.031. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:1Linux 5.10.130Linux 5.15.83Linux 6.1200K400K600K800K1000KMin: 746907.7 / Avg: 978963.31 / Max: 1004478.88Min: 1122665.73 / Avg: 1123953.55 / Max: 1124614.24Min: 1127534.01 / Avg: 1130454.03 / Max: 1132234.941. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU CacheLinux 6.1Linux 5.10.130Linux 5.15.83306090120150SE +/- 2.00, N = 15SE +/- 2.89, N = 15SE +/- 6.07, N = 12115.59116.33128.311. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU CacheLinux 6.1Linux 5.10.130Linux 5.15.8320406080100Min: 101.95 / Avg: 115.59 / Max: 129.19Min: 97.79 / Avg: 116.33 / Max: 133.09Min: 104.69 / Avg: 128.31 / Max: 184.621. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

PostgreSQL

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average LatencyLinux 5.15.83Linux 6.1Linux 5.10.13048121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 314.7813.8512.991. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Write - Average LatencyLinux 5.15.83Linux 6.1Linux 5.10.13048121620Min: 14.7 / Avg: 14.78 / Max: 14.85Min: 13.78 / Avg: 13.85 / Max: 13.89Min: 12.95 / Avg: 12.99 / Max: 13.021. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read WriteLinux 5.15.83Linux 6.1Linux 5.10.1308K16K24K32K40KSE +/- 99.01, N = 3SE +/- 91.02, N = 3SE +/- 59.40, N = 33382436109385031. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read WriteLinux 5.15.83Linux 6.1Linux 5.10.1307K14K21K28K35KMin: 33666.11 / Avg: 33824.27 / Max: 34006.55Min: 35997.71 / Avg: 36109.05 / Max: 36289.45Min: 38415.65 / Avg: 38503.16 / Max: 38616.51. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyLinux 5.10.130Linux 5.15.83Linux 6.10.30380.60760.91141.21521.519SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 31.3501.1731.0701. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read Only - Average LatencyLinux 5.10.130Linux 5.15.83Linux 6.1246810Min: 1.34 / Avg: 1.35 / Max: 1.35Min: 1.17 / Avg: 1.17 / Max: 1.18Min: 1.07 / Avg: 1.07 / Max: 1.071. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyLinux 5.10.130Linux 5.15.83Linux 6.1100K200K300K400K500KSE +/- 956.06, N = 3SE +/- 666.01, N = 3SE +/- 757.53, N = 33702384264284671671. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 500 - Mode: Read OnlyLinux 5.10.130Linux 5.15.83Linux 6.180K160K240K320K400KMin: 369146.07 / Avg: 370238.36 / Max: 372143.66Min: 425223.9 / Avg: 426428.1 / Max: 427523.3Min: 465829.56 / Avg: 467166.81 / Max: 468452.21. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyLinux 6.1Linux 5.15.83Linux 5.10.1301.24382.48763.73144.97526.219SE +/- 0.009, N = 3SE +/- 0.004, N = 3SE +/- 0.015, N = 35.5285.4445.2441. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Write - Average LatencyLinux 6.1Linux 5.15.83Linux 5.10.130246810Min: 5.51 / Avg: 5.53 / Max: 5.54Min: 5.44 / Avg: 5.44 / Max: 5.45Min: 5.22 / Avg: 5.24 / Max: 5.271. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read WriteLinux 6.1Linux 5.15.83Linux 5.10.13010K20K30K40K50KSE +/- 71.67, N = 3SE +/- 31.67, N = 3SE +/- 132.15, N = 34522345922476761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read WriteLinux 6.1Linux 5.15.83Linux 5.10.1308K16K24K32K40KMin: 45095.46 / Avg: 45223.41 / Max: 45343.34Min: 45865.74 / Avg: 45921.97 / Max: 45975.32Min: 47442.63 / Avg: 47676.19 / Max: 47900.091. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyLinux 5.10.130Linux 5.15.83Linux 6.10.04840.09680.14520.19360.242SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 30.2150.1940.1911. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read Only - Average LatencyLinux 5.10.130Linux 5.15.83Linux 6.112345Min: 0.21 / Avg: 0.22 / Max: 0.22Min: 0.19 / Avg: 0.19 / Max: 0.19Min: 0.19 / Avg: 0.19 / Max: 0.191. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyLinux 5.10.130Linux 5.15.83Linux 6.1110K220K330K440K550KSE +/- 1779.96, N = 3SE +/- 92.73, N = 3SE +/- 1990.45, N = 34654225152735237881. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read OnlyLinux 5.10.130Linux 5.15.83Linux 6.190K180K270K360K450KMin: 463548.55 / Avg: 465422.17 / Max: 468980.41Min: 515093.95 / Avg: 515273.2 / Max: 515404.05Min: 521522.01 / Avg: 523787.77 / Max: 527755.331. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyLinux 5.10.130Linux 6.1Linux 5.15.830.41940.83881.25821.67762.097SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.004, N = 31.8641.8391.7791. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read Write - Average LatencyLinux 5.10.130Linux 6.1Linux 5.15.83246810Min: 1.85 / Avg: 1.86 / Max: 1.87Min: 1.83 / Avg: 1.84 / Max: 1.84Min: 1.77 / Avg: 1.78 / Max: 1.781. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read WriteLinux 5.10.130Linux 6.1Linux 5.15.8312K24K36K48K60KSE +/- 146.53, N = 3SE +/- 90.59, N = 3SE +/- 125.21, N = 35365654365562301. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 100 - Mode: Read WriteLinux 5.10.130Linux 6.1Linux 5.15.8310K20K30K40K50KMin: 53450.21 / Avg: 53656.37 / Max: 53939.82Min: 54259.68 / Avg: 54365.4 / Max: 54545.69Min: 56054.99 / Avg: 56230.02 / Max: 56472.641. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyLinux 5.10.130Linux 5.15.83Linux 6.10.13590.27180.40770.54360.6795SE +/- 0.004, N = 3SE +/- 0.000, N = 3SE +/- 0.006, N = 30.6040.5260.5131. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read Only - Average LatencyLinux 5.10.130Linux 5.15.83Linux 6.1246810Min: 0.6 / Avg: 0.6 / Max: 0.61Min: 0.53 / Avg: 0.53 / Max: 0.53Min: 0.5 / Avg: 0.51 / Max: 0.521. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyLinux 5.10.130Linux 5.15.83Linux 6.1100K200K300K400K500KSE +/- 2810.03, N = 3SE +/- 286.86, N = 3SE +/- 5532.44, N = 34139494751754874681. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL 15Scaling Factor: 100 - Clients: 250 - Mode: Read OnlyLinux 5.10.130Linux 5.15.83Linux 6.180K160K240K320K400KMin: 410754.06 / Avg: 413948.98 / Max: 419550.58Min: 474846.05 / Avg: 475174.96 / Max: 475746.51Min: 480940.25 / Avg: 487467.94 / Max: 498469.081. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.13030K60K90K120K150KSE +/- 1877.65, N = 3SE +/- 104.41, N = 3SE +/- 68.75, N = 31263411245561244281. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.13020K40K60K80K100KMin: 124343 / Avg: 126341.33 / Max: 130094Min: 124407 / Avg: 124555.67 / Max: 124757Min: 124322 / Avg: 124428.33 / Max: 1245571. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

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: JPEG - Quality: 90Linux 6.1Linux 5.15.83Linux 5.10.130246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.947.257.301. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: JPEG - Quality: 90Linux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 6.93 / Avg: 6.94 / Max: 6.95Min: 7.24 / Avg: 7.25 / Max: 7.26Min: 7.29 / Avg: 7.3 / Max: 7.311. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 90Linux 6.1Linux 5.15.83Linux 5.10.130246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 37.207.547.581. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL libjxl 0.7Input: PNG - Quality: 90Linux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 7.16 / Avg: 7.2 / Max: 7.22Min: 7.51 / Avg: 7.54 / Max: 7.56Min: 7.56 / Avg: 7.58 / Max: 7.61. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic

Timed CPython Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedLinux 6.1Linux 5.15.83Linux 5.10.13080160240320400385.50383.96383.51

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: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerLinux 5.15.83Linux 5.10.130Linux 6.17K14K21K28K35KSE +/- 4.51, N = 3SE +/- 21.06, N = 3SE +/- 5.29, N = 33480134786347791. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerLinux 5.15.83Linux 5.10.130Linux 6.16K12K18K24K30KMin: 34792 / Avg: 34801 / Max: 34806Min: 34755 / Avg: 34785.67 / Max: 34826Min: 34769 / Avg: 34779 / Max: 347871. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerLinux 5.10.130Linux 5.15.83Linux 6.15001000150020002500SE +/- 0.67, N = 3SE +/- 0.58, N = 32178217621731. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerLinux 5.10.130Linux 5.15.83Linux 6.1400800120016002000Min: 2177 / Avg: 2178.33 / Max: 2179Min: 2172 / Avg: 2173 / Max: 21741. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8320K40K60K80K100KSE +/- 964.72, N = 6SE +/- 96.91, N = 3SE +/- 75.54, N = 37980478016779971. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8314K28K42K56K70KMin: 77879 / Avg: 79803.83 / Max: 82977Min: 77867 / Avg: 78016.33 / Max: 78198Min: 77885 / Avg: 77997.33 / Max: 781411. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerLinux 5.15.83Linux 5.10.130Linux 6.1400800120016002000SE +/- 0.67, N = 3SE +/- 1.15, N = 3SE +/- 1.00, N = 31826182618241. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 2 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerLinux 5.15.83Linux 5.10.130Linux 6.130060090012001500Min: 1825 / Avg: 1825.67 / Max: 1827Min: 1824 / Avg: 1826 / Max: 1828Min: 1823 / Avg: 1824 / Max: 18261. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.130400800120016002000SE +/- 0.58, N = 3SE +/- 1.33, N = 3SE +/- 0.67, N = 31779177817781. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path TracerLinux 6.1Linux 5.15.83Linux 5.10.13030060090012001500Min: 1778 / Avg: 1779 / Max: 1780Min: 1777 / Avg: 1778.33 / Max: 1781Min: 1777 / Avg: 1778.33 / Max: 17791. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineLinux 6.1Linux 5.15.83Linux 5.10.130306090120150SE +/- 0.67, N = 3SE +/- 0.35, N = 3SE +/- 0.46, N = 3115.83115.53114.81
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineLinux 6.1Linux 5.15.83Linux 5.10.13020406080100Min: 114.63 / Avg: 115.83 / Max: 116.93Min: 114.95 / Avg: 115.53 / Max: 116.18Min: 114 / Avg: 114.81 / Max: 115.6

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Linux 6.1Linux 5.10.130Linux 5.15.830.35260.70521.05781.41041.763SE +/- 0.006196, N = 3SE +/- 0.008212, N = 3SE +/- 0.017482, N = 31.5200401.5362551.5670491. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 512Linux 6.1Linux 5.10.130Linux 5.15.83246810Min: 1.51 / Avg: 1.52 / Max: 1.53Min: 1.53 / Avg: 1.54 / Max: 1.55Min: 1.54 / Avg: 1.57 / Max: 1.61. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyLinux 6.1Linux 5.15.83Linux 5.10.13020406080100SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 3106.46106.38106.13
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-OnlyLinux 6.1Linux 5.15.83Linux 5.10.13020406080100Min: 106.43 / Avg: 106.46 / Max: 106.5Min: 106.26 / Avg: 106.38 / Max: 106.47Min: 106.03 / Avg: 106.13 / Max: 106.29

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MLinux 5.10.130Linux 6.1Linux 5.15.832K4K6K8K10KSE +/- 67.20, N = 3SE +/- 49.24, N = 3SE +/- 34.41, N = 39492.29527.79531.31. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgH/s, More Is BetterXmrig 6.18.1Variant: Wownero - Hash Count: 1MLinux 5.10.130Linux 6.1Linux 5.15.8317003400510068008500Min: 9362.3 / Avg: 9492.2 / Max: 9587Min: 9452.2 / Avg: 9527.7 / Max: 9620.2Min: 9479.8 / Avg: 9531.33 / Max: 9596.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

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: 256 - Model: AlexNetLinux 5.10.130Linux 5.15.83Linux 6.160120180240300SE +/- 0.53, N = 3SE +/- 0.66, N = 3SE +/- 0.40, N = 3278.63279.05279.22
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 256 - Model: AlexNetLinux 5.10.130Linux 5.15.83Linux 6.150100150200250Min: 277.89 / Avg: 278.63 / Max: 279.65Min: 278.3 / Avg: 279.05 / Max: 280.36Min: 278.81 / Avg: 279.22 / Max: 280.02

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: Cell Phone Drop TestLinux 5.15.83Linux 6.1Linux 5.10.13020406080100SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 396.3196.3096.21
OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestLinux 5.15.83Linux 6.1Linux 5.10.13020406080100Min: 96.13 / Avg: 96.31 / Max: 96.46Min: 96.24 / Avg: 96.3 / Max: 96.41Min: 95.81 / Avg: 96.21 / Max: 96.44

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 CompileLinux 6.1Linux 5.15.83Linux 5.10.13020406080100SE +/- 0.17, N = 3SE +/- 0.35, N = 3SE +/- 0.21, N = 399.4297.5797.25
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileLinux 6.1Linux 5.15.83Linux 5.10.13020406080100Min: 99.12 / Avg: 99.42 / Max: 99.7Min: 96.87 / Avg: 97.57 / Max: 97.98Min: 96.94 / Avg: 97.25 / Max: 97.64

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: 32 - Model: ResNet-50Linux 5.10.130Linux 6.1Linux 5.15.83918273645SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 340.2340.3240.41
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50Linux 5.10.130Linux 6.1Linux 5.15.83816243240Min: 40.2 / Avg: 40.23 / Max: 40.27Min: 40.29 / Avg: 40.32 / Max: 40.38Min: 40.33 / Avg: 40.41 / Max: 40.45

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 CompileLinux 6.1Linux 5.15.83Linux 5.10.13020406080100SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 393.7491.7591.56
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileLinux 6.1Linux 5.15.83Linux 5.10.13020406080100Min: 93.58 / Avg: 93.74 / Max: 93.85Min: 91.42 / Avg: 91.75 / Max: 91.99Min: 91.48 / Avg: 91.56 / Max: 91.71

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Linux 5.10.130Linux 6.1Linux 5.15.830.44770.89541.34311.79082.2385SE +/- 0.016352, N = 3SE +/- 0.012895, N = 3SE +/- 0.011134, N = 31.8892681.9288141.9896801. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Linux 5.10.130Linux 6.1Linux 5.15.83246810Min: 1.86 / Avg: 1.89 / Max: 1.91Min: 1.91 / Avg: 1.93 / Max: 1.95Min: 1.97 / Avg: 1.99 / Max: 2.011. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.8330060090012001500SE +/- 0.44, N = 3SE +/- 0.83, N = 3SE +/- 0.39, N = 31614.071613.121611.14MIN: 1609.86MIN: 1608.28MIN: 1608.251. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.8330060090012001500Min: 1613.31 / Avg: 1614.07 / Max: 1614.82Min: 1612.18 / Avg: 1613.12 / Max: 1614.78Min: 1610.46 / Avg: 1611.14 / Max: 1611.821. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPULinux 5.10.130Linux 6.1Linux 5.15.8330060090012001500SE +/- 2.14, N = 3SE +/- 1.70, N = 3SE +/- 3.87, N = 31621.841618.861614.87MIN: 1617.11MIN: 1614.3MIN: 1607.671. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPULinux 5.10.130Linux 6.1Linux 5.15.8330060090012001500Min: 1619.03 / Avg: 1621.84 / Max: 1626.03Min: 1616.59 / Avg: 1618.86 / Max: 1622.18Min: 1609.9 / Avg: 1614.87 / Max: 1622.491. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeLinux 5.10.130Linux 6.1Linux 5.15.834080120160200188.28186.93186.401. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeLinux 5.10.130Linux 6.1Linux 5.15.8391827364538.5438.3638.241. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8314K28K42K56K70KSE +/- 527.74, N = 3SE +/- 37.27, N = 3SE +/- 20.81, N = 36589465271652421. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread
OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.11Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path TracerLinux 6.1Linux 5.10.130Linux 5.15.8311K22K33K44K55KMin: 65339 / Avg: 65894 / Max: 66949Min: 65205 / Avg: 65271 / Max: 65334Min: 65207 / Avg: 65242 / Max: 652791. (CXX) g++ options: -O3 -lm -ldl -lpthread -pthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.832004006008001000SE +/- 2.67, N = 3SE +/- 1.27, N = 3SE +/- 0.73, N = 3913.94911.82908.19MIN: 907.08MIN: 907.5MIN: 904.521. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.83160320480640800Min: 908.9 / Avg: 913.94 / Max: 917.99Min: 909.85 / Avg: 911.82 / Max: 914.19Min: 906.81 / Avg: 908.19 / Max: 909.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.15.83Linux 5.10.130Linux 6.12004006008001000SE +/- 1.01, N = 3SE +/- 2.14, N = 3SE +/- 1.41, N = 3912.07909.63909.15MIN: 908.55MIN: 903.56MIN: 904.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.15.83Linux 5.10.130Linux 6.1160320480640800Min: 910.86 / Avg: 912.07 / Max: 914.07Min: 905.88 / Avg: 909.63 / Max: 913.28Min: 906.59 / Avg: 909.15 / Max: 911.461. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigLinux 6.1Linux 5.15.83Linux 5.10.1301632486480SE +/- 0.28, N = 3SE +/- 0.24, N = 3SE +/- 0.25, N = 372.5670.4970.17
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigLinux 6.1Linux 5.15.83Linux 5.10.1301428425670Min: 72.28 / Avg: 72.56 / Max: 73.11Min: 70.25 / Avg: 70.49 / Max: 70.96Min: 69.88 / Avg: 70.17 / Max: 70.66

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: 2Linux 6.1Linux 5.15.83Linux 5.10.1301632486480SE +/- 0.25, N = 3SE +/- 0.41, N = 3SE +/- 0.04, N = 371.2071.0770.521. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2Linux 6.1Linux 5.15.83Linux 5.10.1301428425670Min: 70.7 / Avg: 71.2 / Max: 71.48Min: 70.28 / Avg: 71.07 / Max: 71.68Min: 70.48 / Avg: 70.52 / Max: 70.591. (CXX) g++ options: -O3 -fPIC -lm

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: 1Linux 6.1Linux 5.15.83Linux 5.10.130918273645SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 336.3737.9038.17
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: 1Linux 6.1Linux 5.15.83Linux 5.10.130816243240Min: 36.33 / Avg: 36.37 / Max: 36.39Min: 37.84 / Avg: 37.9 / Max: 37.98Min: 38.08 / Avg: 38.17 / Max: 38.29

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Socket ActivityLinux 5.10.130Linux 6.1Linux 5.15.834K8K12K16K20KSE +/- 302.66, N = 15SE +/- 112.51, N = 3SE +/- 80.02, N = 310160.9116990.7517786.171. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Socket ActivityLinux 5.10.130Linux 6.1Linux 5.15.833K6K9K12K15KMin: 9193.23 / Avg: 10160.91 / Max: 14180.14Min: 16858.08 / Avg: 16990.75 / Max: 17214.49Min: 17675.1 / Avg: 17786.17 / Max: 17941.491. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: FutexLinux 5.10.130Linux 5.15.83Linux 6.1500K1000K1500K2000K2500KSE +/- 33488.35, N = 15SE +/- 32600.02, N = 3SE +/- 9882.04, N = 31498828.702364278.752433807.141. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: FutexLinux 5.10.130Linux 5.15.83Linux 6.1400K800K1200K1600K2000KMin: 1345246.04 / Avg: 1498828.7 / Max: 1801951.49Min: 2301592.09 / Avg: 2364278.75 / Max: 2411148.54Min: 2423753.27 / Avg: 2433807.14 / Max: 2453570.221. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MutexLinux 6.1Linux 5.10.130Linux 5.15.832M4M6M8M10MSE +/- 24065.62, N = 3SE +/- 10182.54, N = 3SE +/- 112044.15, N = 157375258.068606774.999013626.151. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MutexLinux 6.1Linux 5.10.130Linux 5.15.831.6M3.2M4.8M6.4M8MMin: 7337092.63 / Avg: 7375258.06 / Max: 7419737.86Min: 8595011.27 / Avg: 8606774.99 / Max: 8627053.5Min: 8407175.79 / Avg: 9013626.15 / Max: 9613737.321. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:1Linux 5.10.130Linux 6.1Linux 5.15.83200K400K600K800K1000KSE +/- 1890.11, N = 3SE +/- 6338.63, N = 3SE +/- 1111.75, N = 3971725.251046604.151060251.051. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:1Linux 5.10.130Linux 6.1Linux 5.15.83200K400K600K800K1000KMin: 968821.98 / Avg: 971725.25 / Max: 975273.5Min: 1038661.74 / Avg: 1046604.15 / Max: 1059132.42Min: 1058779.63 / Avg: 1060251.05 / Max: 1062430.431. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KLinux 6.1Linux 5.10.130Linux 5.15.830.55871.11741.67612.23482.7935SE +/- 0.005, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 32.4602.4752.4831. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KLinux 6.1Linux 5.10.130Linux 5.15.83246810Min: 2.45 / Avg: 2.46 / Max: 2.47Min: 2.47 / Avg: 2.47 / Max: 2.48Min: 2.47 / Avg: 2.48 / Max: 2.491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 5:1Linux 5.10.130Linux 6.1Linux 5.15.83200K400K600K800K1000KSE +/- 4444.49, N = 3SE +/- 1905.52, N = 3SE +/- 845.72, N = 3918617.37979549.43993337.901. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 5:1Linux 5.10.130Linux 6.1Linux 5.15.83200K400K600K800K1000KMin: 913740.82 / Avg: 918617.37 / Max: 927491.86Min: 975742.06 / Avg: 979549.43 / Max: 981597.85Min: 991845.66 / Avg: 993337.9 / Max: 994773.691. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:5Linux 5.10.130Linux 6.1Linux 5.15.83200K400K600K800K1000KSE +/- 515.57, N = 3SE +/- 797.47, N = 3SE +/- 3993.93, N = 31021149.381099078.401117321.901. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 200 - Set To Get Ratio: 1:5Linux 5.10.130Linux 6.1Linux 5.15.83200K400K600K800K1000KMin: 1020487.55 / Avg: 1021149.38 / Max: 1022165.08Min: 1097510.37 / Avg: 1099078.4 / Max: 1100115.05Min: 1112326.86 / Avg: 1117321.9 / Max: 1125217.721. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPULinux 6.1Linux 5.15.83Linux 5.10.1305001000150020002500SE +/- 5.75, N = 3SE +/- 9.26, N = 3SE +/- 6.93, N = 32451.102441.672436.30MIN: 2080.43 / MAX: 2583.81MIN: 2123.66 / MAX: 2621.99MIN: 2086.23 / MAX: 2572.21. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.130400800120016002000Min: 2439.73 / Avg: 2451.1 / Max: 2458.25Min: 2423.32 / Avg: 2441.67 / Max: 2452.96Min: 2422.47 / Avg: 2436.3 / Max: 2443.911. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.830.73131.46262.19392.92523.6565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.233.253.251. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.83246810Min: 3.22 / Avg: 3.23 / Max: 3.25Min: 3.24 / Avg: 3.25 / Max: 3.28Min: 3.24 / Avg: 3.25 / Max: 3.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

Dragonflydb

Dragonfly is an open-source database server that is a "modern Redis replacement" that aims to be the fastest memory store while being compliant with the Redis and Memcached protocols. For benchmarking Dragonfly, Memtier_benchmark is used as a NoSQL Redis/Memcache traffic generation plus benchmarking tool developed by Redis Labs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:5Linux 5.10.130Linux 6.1Linux 5.15.83300K600K900K1200K1500KSE +/- 872.80, N = 3SE +/- 1580.99, N = 3SE +/- 1515.54, N = 31047699.231180450.091186278.251. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 1:5Linux 5.10.130Linux 6.1Linux 5.15.83200K400K600K800K1000KMin: 1046057.61 / Avg: 1047699.23 / Max: 1049034.01Min: 1177772.37 / Avg: 1180450.09 / Max: 1183245.3Min: 1183339.92 / Avg: 1186278.25 / Max: 1188391.81. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 5:1Linux 5.10.130Linux 5.15.83Linux 6.1200K400K600K800K1000KSE +/- 8046.26, N = 3SE +/- 3987.52, N = 3SE +/- 741.75, N = 3989148.971068662.911074996.431. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterDragonflydb 0.6Clients: 50 - Set To Get Ratio: 5:1Linux 5.10.130Linux 5.15.83Linux 6.1200K400K600K800K1000KMin: 973181.44 / Avg: 989148.97 / Max: 998866.39Min: 1063015.78 / Avg: 1068662.91 / Max: 1076363.3Min: 1073526.71 / Avg: 1074996.43 / Max: 1075905.961. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 6 Two-Pass - Input: Bosphorus 4KLinux 6.1Linux 5.10.130Linux 5.15.833691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 311.6511.7011.771. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KLinux 6.1Linux 5.10.130Linux 5.15.833691215Min: 11.61 / Avg: 11.65 / Max: 11.71Min: 11.67 / Avg: 11.7 / Max: 11.73Min: 11.74 / Avg: 11.77 / Max: 11.811. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressLinux 6.1Linux 5.15.83Linux 5.10.1307K14K21K28K35KSE +/- 27.28, N = 3SE +/- 3.47, N = 3SE +/- 248.24, N = 1434059.4334238.7734273.521. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CPU StressLinux 6.1Linux 5.15.83Linux 5.10.1306K12K18K24K30KMin: 34026.37 / Avg: 34059.43 / Max: 34113.54Min: 34233.28 / Avg: 34238.77 / Max: 34245.2Min: 33926.37 / Avg: 34273.52 / Max: 37488.251. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPULinux 6.1Linux 5.15.83Linux 5.10.1305001000150020002500SE +/- 4.48, N = 3SE +/- 6.63, N = 3SE +/- 6.79, N = 32415.312401.742400.02MIN: 2186.01 / MAX: 2533.33MIN: 2074.14 / MAX: 2532.54MIN: 1971.05 / MAX: 2519.431. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.130400800120016002000Min: 2407.89 / Avg: 2415.31 / Max: 2423.36Min: 2388.48 / Avg: 2401.74 / Max: 2408.5Min: 2387.12 / Avg: 2400.02 / Max: 2410.141. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.1300.74481.48962.23442.97923.724SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 33.283.303.311. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.130246810Min: 3.27 / Avg: 3.28 / Max: 3.29Min: 3.28 / Avg: 3.3 / Max: 3.33Min: 3.29 / Avg: 3.31 / Max: 3.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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 CompileLinux 6.1Linux 5.10.130Linux 5.15.831530456075SE +/- 0.39, N = 3SE +/- 0.32, N = 3SE +/- 0.24, N = 365.9665.3365.14
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileLinux 6.1Linux 5.10.130Linux 5.15.831326395265Min: 65.42 / Avg: 65.96 / Max: 66.72Min: 64.96 / Avg: 65.33 / Max: 65.97Min: 64.8 / Avg: 65.14 / Max: 65.61

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 1.5 kbpsLinux 6.1Linux 5.15.83Linux 5.10.130714212835SE +/- 0.30, N = 9SE +/- 0.33, N = 3SE +/- 0.29, N = 830.4928.3528.21
OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 1.5 kbpsLinux 6.1Linux 5.15.83Linux 5.10.130714212835Min: 28.5 / Avg: 30.49 / Max: 31.01Min: 27.7 / Avg: 28.35 / Max: 28.75Min: 26.65 / Avg: 28.21 / Max: 28.87

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Linux 6.1Linux 5.10.130Linux 5.15.830.58031.16061.74092.32122.9015SE +/- 0.031971, N = 3SE +/- 0.035214, N = 3SE +/- 0.013088, N = 32.4971642.5378912.5790451. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 512Linux 6.1Linux 5.10.130Linux 5.15.83246810Min: 2.44 / Avg: 2.5 / Max: 2.55Min: 2.49 / Avg: 2.54 / Max: 2.61Min: 2.55 / Avg: 2.58 / Max: 2.61. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPULinux 5.10.130Linux 6.1Linux 5.15.8330060090012001500SE +/- 7.68, N = 3SE +/- 5.43, N = 3SE +/- 8.21, N = 31357.371357.101356.35MIN: 1303.04 / MAX: 1429.1MIN: 1311.47 / MAX: 1435.45MIN: 1238.64 / MAX: 1424.431. (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: CPULinux 5.10.130Linux 6.1Linux 5.15.832004006008001000Min: 1342.43 / Avg: 1357.37 / Max: 1367.9Min: 1346.33 / Avg: 1357.1 / Max: 1363.63Min: 1340.43 / Avg: 1356.35 / Max: 1367.811. (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 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.11.32532.65063.97595.30126.6265SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 35.885.885.891. (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 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.1246810Min: 5.84 / Avg: 5.88 / Max: 5.95Min: 5.84 / Avg: 5.88 / Max: 5.94Min: 5.86 / Avg: 5.89 / Max: 5.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

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-StreamLinux 5.15.83Linux 6.1Linux 5.10.130612182430SE +/- 0.27, N = 7SE +/- 0.11, N = 3SE +/- 0.14, N = 323.3123.0722.84
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 6.1Linux 5.10.130510152025Min: 22.7 / Avg: 23.31 / Max: 24.77Min: 22.94 / Avg: 23.07 / Max: 23.29Min: 22.68 / Avg: 22.84 / Max: 23.11

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 6.1Linux 5.10.1301020304050SE +/- 0.47, N = 7SE +/- 0.21, N = 3SE +/- 0.26, N = 342.9043.3243.76
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 6.1Linux 5.10.130918273645Min: 40.35 / Avg: 42.9 / Max: 44.03Min: 42.9 / Avg: 43.32 / Max: 43.56Min: 43.24 / Avg: 43.76 / Max: 44.07

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.190180270360450SE +/- 0.17, N = 3SE +/- 0.53, N = 3SE +/- 0.59, N = 3417.71416.95416.16MIN: 260.74 / MAX: 433.77MIN: 240.72 / MAX: 434.4MIN: 211.14 / MAX: 443.451. (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: CPULinux 5.10.130Linux 5.15.83Linux 6.170140210280350Min: 417.51 / Avg: 417.71 / Max: 418.04Min: 415.91 / Avg: 416.95 / Max: 417.68Min: 415.28 / Avg: 416.16 / Max: 417.271. (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: CPULinux 5.10.130Linux 5.15.83Linux 6.1510152025SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 319.1119.1519.171. (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: CPULinux 5.10.130Linux 5.15.83Linux 6.1510152025Min: 19.11 / Avg: 19.11 / Max: 19.12Min: 19.12 / Avg: 19.15 / Max: 19.19Min: 19.13 / Avg: 19.17 / Max: 19.221. (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: Machine Translation EN To DE FP16 - Device: CPULinux 6.1Linux 5.15.83Linux 5.10.130306090120150SE +/- 0.78, N = 3SE +/- 0.46, N = 3SE +/- 1.34, N = 3124.97124.34123.34MIN: 64.13 / MAX: 142.04MIN: 64.41 / MAX: 139.86MIN: 64 / MAX: 136.841. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.13020406080100Min: 124.08 / Avg: 124.97 / Max: 126.52Min: 123.49 / Avg: 124.34 / Max: 125.09Min: 121.68 / Avg: 123.34 / Max: 125.991. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.1301428425670SE +/- 0.40, N = 3SE +/- 0.24, N = 3SE +/- 0.70, N = 363.9664.2864.821. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.1301326395265Min: 63.16 / Avg: 63.96 / Max: 64.41Min: 63.89 / Avg: 64.28 / Max: 64.73Min: 63.43 / Avg: 64.82 / Max: 65.671. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.83714212835SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 329.8629.3729.29MIN: 11.2 / MAX: 55.83MIN: 11.56 / MAX: 50.23MIN: 13.39 / MAX: 49.341. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.83714212835Min: 29.68 / Avg: 29.86 / Max: 30.13Min: 29.14 / Avg: 29.37 / Max: 29.52Min: 29.28 / Avg: 29.29 / Max: 29.311. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.8360120180240300SE +/- 1.20, N = 3SE +/- 1.08, N = 3SE +/- 0.06, N = 3267.62272.09272.801. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.8350100150200250Min: 265.26 / Avg: 267.62 / Max: 269.21Min: 270.66 / Avg: 272.09 / Max: 274.22Min: 272.69 / Avg: 272.8 / Max: 272.91. (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: CPULinux 5.15.83Linux 6.1Linux 5.10.130246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 38.348.338.24MIN: 4.49 / MAX: 23.48MIN: 4.48 / MAX: 25.96MIN: 4.42 / MAX: 23.841. (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: CPULinux 5.15.83Linux 6.1Linux 5.10.1303691215Min: 8.31 / Avg: 8.34 / Max: 8.36Min: 8.32 / Avg: 8.33 / Max: 8.34Min: 8.14 / Avg: 8.24 / Max: 8.291. (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: CPULinux 5.15.83Linux 6.1Linux 5.10.1302004006008001000SE +/- 1.74, N = 3SE +/- 0.69, N = 3SE +/- 5.71, N = 3957.08957.41969.331. (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: CPULinux 5.15.83Linux 6.1Linux 5.10.1302004006008001000Min: 954.59 / Avg: 957.08 / Max: 960.44Min: 956.43 / Avg: 957.41 / Max: 958.75Min: 963.18 / Avg: 969.33 / Max: 980.741. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.130612182430SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 325.7325.6225.53MIN: 14.41 / MAX: 47.88MIN: 14.62 / MAX: 46.69MIN: 13.67 / MAX: 47.141. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.130612182430Min: 25.64 / Avg: 25.73 / Max: 25.83Min: 25.58 / Avg: 25.62 / Max: 25.7Min: 25.48 / Avg: 25.53 / Max: 25.571. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.130140280420560700SE +/- 1.31, N = 3SE +/- 0.90, N = 3SE +/- 0.68, N = 3620.61623.36625.501. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.130110220330440550Min: 618.26 / Avg: 620.61 / Max: 622.77Min: 621.57 / Avg: 623.36 / Max: 624.36Min: 624.44 / Avg: 625.5 / Max: 626.761. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.1300.11480.22960.34440.45920.574SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.510.500.50MIN: 0.32 / MAX: 15.06MIN: 0.31 / MAX: 28.92MIN: 0.31 / MAX: 16.571. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.130246810Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.511. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.1307K14K21K28K35KSE +/- 16.23, N = 3SE +/- 38.88, N = 3SE +/- 85.59, N = 330632.4631007.3831167.811. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.1305K10K15K20K25KMin: 30600.27 / Avg: 30632.46 / Max: 30652.25Min: 30957.21 / Avg: 31007.38 / Max: 31083.92Min: 30999.89 / Avg: 31167.81 / Max: 31280.511. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.830.2340.4680.7020.9361.17SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.041.041.03MIN: 0.61 / MAX: 17.76MIN: 0.61 / MAX: 17.55MIN: 0.61 / MAX: 17.941. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.83246810Min: 1.03 / Avg: 1.04 / Max: 1.05Min: 1.02 / Avg: 1.04 / Max: 1.05Min: 1.02 / Avg: 1.03 / Max: 1.041. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.1303K6K9K12K15KSE +/- 96.54, N = 3SE +/- 108.60, N = 3SE +/- 110.56, N = 315144.3215258.5615259.861. (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: CPULinux 6.1Linux 5.15.83Linux 5.10.1303K6K9K12K15KMin: 14960.03 / Avg: 15144.32 / Max: 15286.36Min: 15103.93 / Avg: 15258.56 / Max: 15467.98Min: 15083.14 / Avg: 15259.86 / Max: 15463.321. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.83246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 38.028.028.01MIN: 6 / MAX: 25.19MIN: 4.07 / MAX: 22.04MIN: 5.89 / MAX: 26.321. (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: CPULinux 6.1Linux 5.10.130Linux 5.15.833691215Min: 8.01 / Avg: 8.02 / Max: 8.03Min: 8.01 / Avg: 8.02 / Max: 8.03Min: 8.01 / Avg: 8.01 / Max: 8.021. (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: CPULinux 5.10.130Linux 6.1Linux 5.15.83400800120016002000SE +/- 1.36, N = 3SE +/- 1.06, N = 3SE +/- 0.98, N = 31991.751992.231993.581. (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: CPULinux 5.10.130Linux 6.1Linux 5.15.8330060090012001500Min: 1990 / Avg: 1991.75 / Max: 1994.43Min: 1990.51 / Avg: 1992.23 / Max: 1994.17Min: 1991.88 / Avg: 1993.58 / Max: 1995.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random FillLinux 6.1Linux 5.15.83Linux 5.10.130200K400K600K800K1000KSE +/- 2558.50, N = 3SE +/- 11892.65, N = 3SE +/- 10947.16, N = 39352859828489831991. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random FillLinux 6.1Linux 5.15.83Linux 5.10.130200K400K600K800K1000KMin: 930199 / Avg: 935285.33 / Max: 938313Min: 970769 / Avg: 982847.67 / Max: 1006632Min: 962372 / Avg: 983199.33 / Max: 9994601. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenLinux 6.1Linux 5.10.130Linux 5.15.834080120160200SE +/- 1.33, N = 3SE +/- 1.33, N = 3SE +/- 1.20, N = 31971991991. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenLinux 6.1Linux 5.10.130Linux 5.15.834080120160200Min: 196 / Avg: 197.33 / Max: 200Min: 198 / Avg: 199.33 / Max: 202Min: 197 / Avg: 198.67 / Max: 2011. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random Fill SyncLinux 5.10.130Linux 6.1Linux 5.15.8350K100K150K200K250KSE +/- 254.19, N = 3SE +/- 160.74, N = 3SE +/- 684.45, N = 32164642184542349691. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random Fill SyncLinux 5.10.130Linux 6.1Linux 5.15.8340K80K120K160K200KMin: 215963 / Avg: 216464.33 / Max: 216788Min: 218206 / Avg: 218453.67 / Max: 218755Min: 233626 / Avg: 234968.67 / Max: 2358711. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomLinux 6.1Linux 5.15.83Linux 5.10.130130K260K390K520K650KSE +/- 2022.46, N = 3SE +/- 1069.98, N = 3SE +/- 3662.51, N = 35944856166266256951. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomLinux 6.1Linux 5.15.83Linux 5.10.130110K220K330K440K550KMin: 592347 / Avg: 594485.33 / Max: 598528Min: 615089 / Avg: 616626 / Max: 618684Min: 620664 / Avg: 625694.67 / Max: 6328211. (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 RandomLinux 5.15.83Linux 5.10.130Linux 6.1500K1000K1500K2000K2500KSE +/- 8919.50, N = 3SE +/- 16550.67, N = 3SE +/- 10651.17, N = 32129359213260821335281. (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 RandomLinux 5.15.83Linux 5.10.130Linux 6.1400K800K1200K1600K2000KMin: 2119001 / Avg: 2129359 / Max: 2147116Min: 2104716 / Avg: 2132608 / Max: 2161991Min: 2117476 / Avg: 2133527.67 / Max: 21536821. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedLinux 6.1Linux 5.15.83Linux 5.10.13070140210280350SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 33113143151. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedLinux 6.1Linux 5.15.83Linux 5.10.13060120180240300Min: 310 / Avg: 310.67 / Max: 312Min: 313 / Avg: 313.67 / Max: 315Min: 314 / Avg: 314.67 / Max: 3161. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlLinux 6.1Linux 5.15.83Linux 5.10.130110220330440550SE +/- 1.53, N = 3SE +/- 1.53, N = 3SE +/- 2.40, N = 34914995021. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlLinux 6.1Linux 5.15.83Linux 5.10.13090180270360450Min: 489 / Avg: 491 / Max: 494Min: 497 / Avg: 499 / Max: 502Min: 499 / Avg: 502.33 / Max: 5071. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingLinux 6.1Linux 5.15.83Linux 5.10.130700K1400K2100K2800K3500KSE +/- 14227.22, N = 3SE +/- 29968.88, N = 3SE +/- 49813.03, N = 32985392304327931008991. (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 WritingLinux 6.1Linux 5.15.83Linux 5.10.130500K1000K1500K2000K2500KMin: 2957201 / Avg: 2985392 / Max: 3002833Min: 3000054 / Avg: 3043278.67 / Max: 3100851Min: 3034605 / Avg: 3100899.33 / Max: 31984501. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianLinux 6.1Linux 5.15.83Linux 5.10.13070140210280350SE +/- 1.76, N = 33223313351. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianLinux 6.1Linux 5.15.83Linux 5.10.13060120180240300Min: 328 / Avg: 331.33 / Max: 3341. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingLinux 6.1Linux 5.15.83Linux 5.10.13030060090012001500SE +/- 2.91, N = 3SE +/- 2.73, N = 3SE +/- 7.42, N = 31299132113331. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingLinux 6.1Linux 5.15.83Linux 5.10.1302004006008001000Min: 1294 / Avg: 1299.33 / Max: 1304Min: 1317 / Avg: 1320.67 / Max: 1326Min: 1324 / Avg: 1333.33 / Max: 13481. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadLinux 5.10.130Linux 5.15.83Linux 6.114M28M42M56M70MSE +/- 547664.44, N = 3SE +/- 139131.71, N = 3SE +/- 360247.64, N = 36509423965233649653371751. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadLinux 5.10.130Linux 5.15.83Linux 6.111M22M33M44M55MMin: 64021873 / Avg: 65094239.33 / Max: 65823637Min: 65055565 / Avg: 65233649.33 / Max: 65507860Min: 64720246 / Avg: 65337175.33 / Max: 659679501. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceLinux 6.1Linux 5.15.83Linux 5.10.1302004006008001000SE +/- 1.67, N = 3SE +/- 1.53, N = 38729579761. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread
OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceLinux 6.1Linux 5.15.83Linux 5.10.1302004006008001000Min: 870 / Avg: 871.67 / Max: 875Min: 955 / Avg: 957 / Max: 9601. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

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: 64 - Model: GoogLeNetLinux 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 3125.79126.29126.49
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: GoogLeNetLinux 5.10.130Linux 5.15.83Linux 6.120406080100Min: 125.71 / Avg: 125.79 / Max: 125.87Min: 126.08 / Avg: 126.29 / Max: 126.57Min: 126.14 / Avg: 126.49 / Max: 126.73

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: ExhaustiveLinux 6.1Linux 5.10.130Linux 5.15.830.21090.42180.63270.84361.0545SE +/- 0.0006, N = 3SE +/- 0.0001, N = 3SE +/- 0.0001, N = 30.93680.93710.93751. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveLinux 6.1Linux 5.10.130Linux 5.15.83246810Min: 0.94 / Avg: 0.94 / Max: 0.94Min: 0.94 / Avg: 0.94 / Max: 0.94Min: 0.94 / Avg: 0.94 / Max: 0.941. (CXX) g++ options: -O3 -flto -pthread

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 3 kbpsLinux 6.1Linux 5.10.130Linux 5.15.83714212835SE +/- 0.30, N = 8SE +/- 0.21, N = 3SE +/- 0.34, N = 630.4329.1428.66
OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 3 kbpsLinux 6.1Linux 5.10.130Linux 5.15.83714212835Min: 28.92 / Avg: 30.43 / Max: 31.27Min: 28.73 / Avg: 29.14 / Max: 29.42Min: 26.97 / Avg: 28.66 / Max: 29.09

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSELinux 6.1Linux 5.10.130Linux 5.15.831326395265SE +/- 0.15, N = 3SE +/- 0.29, N = 3SE +/- 0.25, N = 355.8255.7355.66
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSELinux 6.1Linux 5.10.130Linux 5.15.831122334455Min: 55.63 / Avg: 55.82 / Max: 56.11Min: 55.17 / Avg: 55.73 / Max: 56.15Min: 55.18 / Avg: 55.66 / Max: 56.02

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Linux 5.10.130Linux 6.1Linux 5.15.830.68931.37862.06792.75723.4465SE +/- 0.016716, N = 3SE +/- 0.021684, N = 3SE +/- 0.004654, N = 32.9996113.0125853.0635111. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Linux 5.10.130Linux 6.1Linux 5.15.83246810Min: 2.97 / Avg: 3 / Max: 3.03Min: 2.97 / Avg: 3.01 / Max: 3.04Min: 3.05 / Avg: 3.06 / Max: 3.071. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.130160320480640800SE +/- 4.45, N = 3SE +/- 2.20, N = 3SE +/- 1.03, N = 3764.74759.35758.03
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.130130260390520650Min: 757.79 / Avg: 764.74 / Max: 773.03Min: 755.93 / Avg: 759.35 / Max: 763.46Min: 755.97 / Avg: 758.03 / Max: 759.11

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.1303691215SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 310.4110.4510.52
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 10.29 / Avg: 10.41 / Max: 10.53Min: 10.39 / Avg: 10.45 / Max: 10.57Min: 10.49 / Avg: 10.52 / Max: 10.55

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.130160320480640800SE +/- 2.74, N = 3SE +/- 1.90, N = 3SE +/- 2.25, N = 3763.31760.84752.83
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.130130260390520650Min: 758.18 / Avg: 763.31 / Max: 767.55Min: 757.06 / Avg: 760.84 / Max: 763.15Min: 749.89 / Avg: 752.83 / Max: 757.25

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.1303691215SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 310.3810.4310.54
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 10.31 / Avg: 10.38 / Max: 10.44Min: 10.35 / Avg: 10.43 / Max: 10.49Min: 10.44 / Avg: 10.54 / Max: 10.6

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.130306090120150SE +/- 0.43, N = 3SE +/- 0.74, N = 3SE +/- 0.30, N = 3147.38146.95144.01
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.130306090120150Min: 146.84 / Avg: 147.38 / Max: 148.23Min: 146.03 / Avg: 146.95 / Max: 148.41Min: 143.41 / Avg: 144.01 / Max: 144.35

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.1301224364860SE +/- 0.16, N = 3SE +/- 0.27, N = 3SE +/- 0.12, N = 354.2754.4355.54
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.1301122334455Min: 53.96 / Avg: 54.27 / Max: 54.47Min: 53.89 / Avg: 54.43 / Max: 54.77Min: 55.41 / Avg: 55.54 / Max: 55.77

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: ResNet-50Linux 5.10.130Linux 6.1Linux 5.15.83918273645SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.07, N = 337.6838.0138.09
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50Linux 5.10.130Linux 6.1Linux 5.15.83816243240Min: 37.63 / Avg: 37.68 / Max: 37.74Min: 37.96 / Avg: 38.01 / Max: 38.03Min: 37.99 / Avg: 38.09 / Max: 38.22

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.10.130Linux 5.15.83Linux 6.10.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.480.481. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.10.130Linux 5.15.83Linux 6.112345Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.48 / Avg: 0.48 / Max: 0.48Min: 0.48 / Avg: 0.48 / Max: 0.481. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread

srsRAN

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

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMLinux 5.10.130Linux 6.1Linux 5.15.83306090120150SE +/- 0.13, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 3126.9127.2128.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMLinux 5.10.130Linux 6.1Linux 5.15.8320406080100Min: 126.6 / Avg: 126.87 / Max: 127Min: 126.9 / Avg: 127.2 / Max: 127.4Min: 127.7 / Avg: 128.03 / Max: 128.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMLinux 5.10.130Linux 6.1Linux 5.15.8370140210280350SE +/- 1.79, N = 3SE +/- 0.35, N = 3SE +/- 0.22, N = 3303.4307.4310.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMLinux 5.10.130Linux 6.1Linux 5.15.8360120180240300Min: 300.2 / Avg: 303.43 / Max: 306.4Min: 306.8 / Avg: 307.4 / Max: 308Min: 309.6 / Avg: 310.03 / Max: 310.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.15.83Linux 5.10.130612182430SE +/- 0.23, N = 3SE +/- 0.29, N = 3SE +/- 0.10, N = 326.8726.4826.00
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.15.83Linux 5.10.130612182430Min: 26.53 / Avg: 26.87 / Max: 27.29Min: 25.98 / Avg: 26.48 / Max: 26.98Min: 25.81 / Avg: 26 / Max: 26.15

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.15.83Linux 5.10.130918273645SE +/- 0.31, N = 3SE +/- 0.41, N = 3SE +/- 0.15, N = 337.2137.7638.44
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.15.83Linux 5.10.130816243240Min: 36.62 / Avg: 37.21 / Max: 37.68Min: 37.05 / Avg: 37.76 / Max: 38.48Min: 38.22 / Avg: 38.44 / Max: 38.72

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.10.130Linux 5.15.8320406080100SE +/- 0.93, N = 3SE +/- 0.33, N = 3SE +/- 0.39, N = 3104.83104.16104.01
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.10.130Linux 5.15.8320406080100Min: 103.28 / Avg: 104.83 / Max: 106.51Min: 103.51 / Avg: 104.16 / Max: 104.52Min: 103.25 / Avg: 104.01 / Max: 104.51

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.10.130Linux 5.15.833691215SE +/- 0.0848, N = 3SE +/- 0.0301, N = 3SE +/- 0.0357, N = 39.53939.59969.6141
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.10.130Linux 5.15.833691215Min: 9.39 / Avg: 9.54 / Max: 9.68Min: 9.57 / Avg: 9.6 / Max: 9.66Min: 9.57 / Avg: 9.61 / Max: 9.68

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 5.10.130Linux 6.120406080100SE +/- 0.31, N = 3SE +/- 0.59, N = 3SE +/- 0.22, N = 3104.04104.00103.58
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 5.10.130Linux 6.120406080100Min: 103.72 / Avg: 104.04 / Max: 104.65Min: 102.81 / Avg: 104 / Max: 104.61Min: 103.27 / Avg: 103.58 / Max: 104.02

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 5.10.130Linux 6.13691215SE +/- 0.0282, N = 3SE +/- 0.0549, N = 3SE +/- 0.0209, N = 39.61119.61539.6532
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 5.10.130Linux 6.13691215Min: 9.55 / Avg: 9.61 / Max: 9.64Min: 9.56 / Avg: 9.62 / Max: 9.73Min: 9.61 / Avg: 9.65 / Max: 9.68

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_trfLinux 6.1Linux 5.15.83Linux 5.10.1305001000150020002500SE +/- 7.51, N = 3SE +/- 6.33, N = 3SE +/- 9.87, N = 3234124162446
OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfLinux 6.1Linux 5.15.83Linux 5.10.130400800120016002000Min: 2328 / Avg: 2340.67 / Max: 2354Min: 2410 / Avg: 2416.33 / Max: 2429Min: 2430 / Avg: 2446 / Max: 2464

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgLinux 6.1Linux 5.15.83Linux 5.10.1302K4K6K8K10KSE +/- 18.76, N = 3SE +/- 10.74, N = 3SE +/- 15.62, N = 3112311123611314
OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgLinux 6.1Linux 5.15.83Linux 5.10.1302K4K6K8K10KMin: 11198 / Avg: 11230.67 / Max: 11263Min: 11216 / Avg: 11235.67 / Max: 11253Min: 11292 / Avg: 11313.67 / Max: 11344

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 6.1Linux 5.15.83306090120150SE +/- 0.43, N = 3SE +/- 0.38, N = 3SE +/- 0.31, N = 3144.24144.21143.81
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 6.1Linux 5.15.83306090120150Min: 143.39 / Avg: 144.24 / Max: 144.74Min: 143.45 / Avg: 144.21 / Max: 144.64Min: 143.25 / Avg: 143.81 / Max: 144.33

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 6.1Linux 5.15.831224364860SE +/- 0.15, N = 3SE +/- 0.16, N = 3SE +/- 0.12, N = 355.4255.4455.58
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 6.1Linux 5.15.831122334455Min: 55.26 / Avg: 55.42 / Max: 55.72Min: 55.26 / Avg: 55.44 / Max: 55.76Min: 55.41 / Avg: 55.58 / Max: 55.82

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Linux 6.1Linux 5.10.130Linux 5.15.830.85281.70562.55843.41124.264SE +/- 0.044488, N = 3SE +/- 0.019070, N = 3SE +/- 0.052597, N = 33.7188123.7269333.7903211. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 512Linux 6.1Linux 5.10.130Linux 5.15.83246810Min: 3.64 / Avg: 3.72 / Max: 3.8Min: 3.69 / Avg: 3.73 / Max: 3.76Min: 3.69 / Avg: 3.79 / Max: 3.851. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamLinux 5.15.83Linux 5.10.130Linux 6.11632486480SE +/- 0.36, N = 3SE +/- 0.04, N = 3SE +/- 0.32, N = 373.8273.6873.55
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamLinux 5.15.83Linux 5.10.130Linux 6.11428425670Min: 73.13 / Avg: 73.82 / Max: 74.33Min: 73.61 / Avg: 73.68 / Max: 73.74Min: 73 / Avg: 73.55 / Max: 74.1

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamLinux 5.15.83Linux 5.10.130Linux 6.120406080100SE +/- 0.53, N = 3SE +/- 0.05, N = 3SE +/- 0.47, N = 3108.34108.55108.74
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamLinux 5.15.83Linux 5.10.130Linux 6.120406080100Min: 107.59 / Avg: 108.34 / Max: 109.36Min: 108.45 / Avg: 108.55 / Max: 108.64Min: 107.92 / Avg: 108.74 / Max: 109.56

srsRAN

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

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMLinux 6.1Linux 5.10.130Linux 5.15.83306090120150SE +/- 0.03, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 3117.1117.3118.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMLinux 6.1Linux 5.10.130Linux 5.15.8320406080100Min: 117 / Avg: 117.07 / Max: 117.1Min: 116.9 / Avg: 117.27 / Max: 117.8Min: 118.2 / Avg: 118.27 / Max: 118.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMLinux 5.10.130Linux 6.1Linux 5.15.8360120180240300SE +/- 0.15, N = 3SE +/- 0.27, N = 3SE +/- 0.17, N = 3279.8280.2282.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMLinux 5.10.130Linux 6.1Linux 5.15.8350100150200250Min: 279.5 / Avg: 279.77 / Max: 280Min: 279.7 / Avg: 280.23 / Max: 280.6Min: 282.4 / Avg: 282.7 / Max: 2831. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Linux 6.1Linux 5.10.130Linux 5.15.830.89381.78762.68143.57524.469SE +/- 0.063340, N = 3SE +/- 0.028488, N = 3SE +/- 0.017996, N = 33.8172683.9095523.9725911. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 512Linux 6.1Linux 5.10.130Linux 5.15.83246810Min: 3.69 / Avg: 3.82 / Max: 3.91Min: 3.87 / Avg: 3.91 / Max: 3.97Min: 3.94 / Avg: 3.97 / Max: 41. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointLinux 6.1Linux 5.15.83Linux 5.10.1301020304050SE +/- 0.20, N = 3SE +/- 0.21, N = 3SE +/- 0.18, N = 341.9441.4341.39
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointLinux 6.1Linux 5.15.83Linux 5.10.130918273645Min: 41.59 / Avg: 41.94 / Max: 42.27Min: 41.01 / Avg: 41.43 / Max: 41.69Min: 41.04 / Avg: 41.39 / Max: 41.59

srsRAN

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

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestLinux 6.1Linux 5.10.130Linux 5.15.8330M60M90M120M150MSE +/- 417665.47, N = 3SE +/- 251661.15, N = 3SE +/- 352766.84, N = 31207333331220000001226333331. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestLinux 6.1Linux 5.10.130Linux 5.15.8320M40M60M80M100MMin: 119900000 / Avg: 120733333.33 / Max: 121200000Min: 121700000 / Avg: 122000000 / Max: 122500000Min: 122100000 / Avg: 122633333.33 / Max: 1233000001. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 6.1Linux 5.15.8320406080100SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 392.2192.0591.99
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 6.1Linux 5.15.8320406080100Min: 92.05 / Avg: 92.21 / Max: 92.32Min: 91.99 / Avg: 92.05 / Max: 92.12Min: 91.82 / Avg: 91.99 / Max: 92.12

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 6.1Linux 5.15.8320406080100SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 386.6686.8886.94
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 6.1Linux 5.15.831632486480Min: 86.47 / Avg: 86.66 / Max: 86.88Min: 86.82 / Avg: 86.88 / Max: 86.94Min: 86.81 / Avg: 86.94 / Max: 87.1

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.15.83Linux 5.10.13048121620SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 313.9013.8713.58
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.15.83Linux 5.10.13048121620Min: 13.79 / Avg: 13.9 / Max: 14.1Min: 13.78 / Avg: 13.87 / Max: 13.99Min: 13.36 / Avg: 13.58 / Max: 13.77

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.15.83Linux 5.10.1301632486480SE +/- 0.51, N = 3SE +/- 0.33, N = 3SE +/- 0.65, N = 371.8972.0673.60
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.15.83Linux 5.10.1301428425670Min: 70.87 / Avg: 71.89 / Max: 72.47Min: 71.4 / Avg: 72.06 / Max: 72.49Min: 72.54 / Avg: 73.6 / Max: 74.79

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Linux 5.10.130Linux 6.1Linux 5.15.830.9611.9222.8833.8444.805SE +/- 0.030220, N = 3SE +/- 0.017869, N = 3SE +/- 0.015411, N = 34.1995684.2088804.2708971. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Linux 5.10.130Linux 6.1Linux 5.15.83246810Min: 4.14 / Avg: 4.2 / Max: 4.25Min: 4.18 / Avg: 4.21 / Max: 4.24Min: 4.24 / Avg: 4.27 / Max: 4.291. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 6.1Linux 5.10.1303691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 313.3113.2713.27
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 6.1Linux 5.10.13048121620Min: 13.26 / Avg: 13.31 / Max: 13.34Min: 13.25 / Avg: 13.27 / Max: 13.3Min: 13.27 / Avg: 13.27 / Max: 13.27

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 5.10.130Linux 6.120406080100SE +/- 0.14, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 375.0475.2675.26
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamLinux 5.15.83Linux 5.10.130Linux 6.11428425670Min: 74.86 / Avg: 75.04 / Max: 75.31Min: 75.25 / Avg: 75.26 / Max: 75.28Min: 75.08 / Avg: 75.26 / Max: 75.39

miniBUDE

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

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Linux 5.15.83Linux 5.10.130Linux 6.1510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 321.1721.2121.421. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Linux 5.15.83Linux 5.10.130Linux 6.1510152025Min: 21.15 / Avg: 21.17 / Max: 21.2Min: 21.21 / Avg: 21.21 / Max: 21.22Min: 21.4 / Avg: 21.42 / Max: 21.441. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Linux 5.15.83Linux 5.10.130Linux 6.1120240360480600SE +/- 0.39, N = 3SE +/- 0.13, N = 3SE +/- 0.30, N = 3529.24530.27535.571. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm
OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Linux 5.15.83Linux 5.10.130Linux 6.190180270360450Min: 528.82 / Avg: 529.24 / Max: 530.02Min: 530.12 / Avg: 530.27 / Max: 530.52Min: 534.96 / Avg: 535.57 / Max: 535.881. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Linux 6.1Linux 5.10.130Linux 5.15.830.9971.9942.9913.9884.985SE +/- 0.047576, N = 3SE +/- 0.002245, N = 3SE +/- 0.011431, N = 34.3113824.3858934.4310981. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Linux 6.1Linux 5.10.130Linux 5.15.83246810Min: 4.26 / Avg: 4.31 / Max: 4.41Min: 4.38 / Avg: 4.39 / Max: 4.39Min: 4.41 / Avg: 4.43 / Max: 4.451. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingLinux 5.10.130Linux 6.1Linux 5.15.8320K40K60K80K100KSE +/- 259.98, N = 3SE +/- 264.89, N = 3SE +/- 150.80, N = 38643286680867351. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingLinux 5.10.130Linux 6.1Linux 5.15.8315K30K45K60K75KMin: 85940 / Avg: 86431.67 / Max: 86824Min: 86356 / Avg: 86680 / Max: 87205Min: 86523 / Avg: 86735.33 / Max: 870271. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingLinux 5.10.130Linux 6.1Linux 5.15.8320K40K60K80K100KSE +/- 95.64, N = 3SE +/- 526.57, N = 3SE +/- 364.72, N = 31063571069681080581. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingLinux 5.10.130Linux 6.1Linux 5.15.8320K40K60K80K100KMin: 106196 / Avg: 106357.33 / Max: 106527Min: 106061 / Avg: 106968 / Max: 107885Min: 107640 / Avg: 108058.33 / Max: 1087851. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Neural Magic DeepSparse

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.130816243240SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 336.5436.5036.44
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.130816243240Min: 36.46 / Avg: 36.54 / Max: 36.7Min: 36.41 / Avg: 36.5 / Max: 36.65Min: 36.41 / Avg: 36.44 / Max: 36.47

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.13050100150200250SE +/- 0.45, N = 3SE +/- 0.45, N = 3SE +/- 0.10, N = 3218.69219.01219.36
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamLinux 6.1Linux 5.15.83Linux 5.10.1304080120160200Min: 217.81 / Avg: 218.69 / Max: 219.26Min: 218.12 / Avg: 219.01 / Max: 219.55Min: 219.2 / Avg: 219.36 / Max: 219.55

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.10.130Linux 5.15.83246810SE +/- 0.1212, N = 3SE +/- 0.0949, N = 3SE +/- 0.0304, N = 37.53597.52657.4408
OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.10.130Linux 5.15.833691215Min: 7.29 / Avg: 7.54 / Max: 7.66Min: 7.36 / Avg: 7.53 / Max: 7.69Min: 7.39 / Avg: 7.44 / Max: 7.49

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.10.130Linux 5.15.83306090120150SE +/- 2.16, N = 3SE +/- 1.67, N = 3SE +/- 0.54, N = 3132.51132.65134.13
OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamLinux 6.1Linux 5.10.130Linux 5.15.83306090120150Min: 130.25 / Avg: 132.51 / Max: 136.83Min: 129.77 / Avg: 132.65 / Max: 135.55Min: 133.18 / Avg: 134.13 / Max: 135.05

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC audio format ten times using the --best preset settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACLinux 6.1Linux 5.10.130Linux 5.15.83510152025SE +/- 0.04, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 521.3821.1121.101. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACLinux 6.1Linux 5.10.130Linux 5.15.83510152025Min: 21.23 / Avg: 21.38 / Max: 21.43Min: 21.06 / Avg: 21.11 / Max: 21.2Min: 21.01 / Avg: 21.1 / Max: 21.171. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 24 kbpsLinux 6.1Linux 5.10.130Linux 5.15.83816243240SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.20, N = 336.3234.1633.92
OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 24 kbpsLinux 6.1Linux 5.10.130Linux 5.15.83816243240Min: 36.08 / Avg: 36.32 / Max: 36.51Min: 34.15 / Avg: 34.16 / Max: 34.19Min: 33.56 / Avg: 33.92 / Max: 34.27

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: 32 - Model: GoogLeNetLinux 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 0.14, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3121.72122.18123.19
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetLinux 5.10.130Linux 5.15.83Linux 6.120406080100Min: 121.51 / Avg: 121.72 / Max: 121.98Min: 121.94 / Avg: 122.18 / Max: 122.31Min: 123.06 / Avg: 123.19 / Max: 123.42

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: ThoroughLinux 6.1Linux 5.10.130Linux 5.15.833691215SE +/- 0.0088, N = 3SE +/- 0.0023, N = 3SE +/- 0.0055, N = 39.31039.32259.32671. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughLinux 6.1Linux 5.10.130Linux 5.15.833691215Min: 9.29 / Avg: 9.31 / Max: 9.32Min: 9.32 / Avg: 9.32 / Max: 9.33Min: 9.32 / Avg: 9.33 / Max: 9.341. (CXX) g++ options: -O3 -flto -pthread

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetLinux 6.1Linux 5.15.83Linux 5.10.13050100150200250SE +/- 0.27, N = 3SE +/- 0.39, N = 3SE +/- 0.06, N = 3242.34242.73243.30
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetLinux 6.1Linux 5.15.83Linux 5.10.1304080120160200Min: 241.8 / Avg: 242.34 / Max: 242.66Min: 242.16 / Avg: 242.73 / Max: 243.48Min: 243.23 / Avg: 243.3 / Max: 243.43

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: AllLinux 6.1Linux 5.10.130Linux 5.15.8350100150200250SE +/- 2.09, N = 3SE +/- 1.38, N = 3SE +/- 0.37, N = 3181.54208.79209.18
OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: AllLinux 6.1Linux 5.10.130Linux 5.15.834080120160200Min: 177.45 / Avg: 181.54 / Max: 184.33Min: 206.98 / Avg: 208.79 / Max: 211.51Min: 208.63 / Avg: 209.18 / Max: 209.88

EnCodec

EnCodec is a Facebook/Meta developed AI means of compressing audio files using High Fidelity Neural Audio Compression. EnCodec is designed to provide codec compression at 6 kbps using their novel AI-powered compression technique. The test profile uses a lengthy JFK speech as the audio input for benchmarking and the performance measurement is measuring the time to encode the EnCodec file from WAV. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 6 kbpsLinux 6.1Linux 5.15.83Linux 5.10.130714212835SE +/- 0.09, N = 3SE +/- 0.11, N = 3SE +/- 0.11, N = 332.0229.5329.50
OpenBenchmarking.orgSeconds, Fewer Is BetterEnCodec 0.1.1Target Bandwidth: 6 kbpsLinux 6.1Linux 5.15.83Linux 5.10.130714212835Min: 31.89 / Avg: 32.02 / Max: 32.2Min: 29.37 / Avg: 29.53 / Max: 29.74Min: 29.31 / Avg: 29.49 / Max: 29.69

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: x86_64 RdRandLinux 6.1Linux 5.10.130Linux 5.15.8350K100K150K200K250KSE +/- 12.63, N = 3SE +/- 0.71, N = 3SE +/- 1.57, N = 3252372.29252390.56252393.881. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: x86_64 RdRandLinux 6.1Linux 5.10.130Linux 5.15.8340K80K120K160K200KMin: 252347.35 / Avg: 252372.29 / Max: 252388.26Min: 252389.44 / Avg: 252390.56 / Max: 252391.87Min: 252391.26 / Avg: 252393.88 / Max: 252396.691. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Context SwitchingLinux 6.1Linux 5.15.83Linux 5.10.1301.2M2.4M3.6M4.8M6MSE +/- 3492.53, N = 3SE +/- 7040.94, N = 3SE +/- 72191.04, N = 32054658.642284154.165500706.761. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Context SwitchingLinux 6.1Linux 5.15.83Linux 5.10.1301000K2000K3000K4000K5000KMin: 2050421.46 / Avg: 2054658.64 / Max: 2061586.38Min: 2274662.3 / Avg: 2284154.16 / Max: 2297908.59Min: 5373588.8 / Avg: 5500706.76 / Max: 5623556.621. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SemaphoresLinux 5.10.130Linux 5.15.83Linux 6.1700K1400K2100K2800K3500KSE +/- 159.78, N = 3SE +/- 1860.75, N = 3SE +/- 1806.60, N = 33214994.833314461.383315660.881. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SemaphoresLinux 5.10.130Linux 5.15.83Linux 6.1600K1200K1800K2400K3000KMin: 3214727.06 / Avg: 3214994.83 / Max: 3215279.75Min: 3311372.46 / Avg: 3314461.38 / Max: 3317803.36Min: 3312970.55 / Avg: 3315660.88 / Max: 3319094.831. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Aircrack-ng

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

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7Linux 5.10.130Linux 5.15.83Linux 6.111K22K33K44K55KSE +/- 129.98, N = 3SE +/- 118.77, N = 3SE +/- 144.43, N = 350605.5650607.7450609.281. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -lbsd -pthread
OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7Linux 5.10.130Linux 5.15.83Linux 6.19K18K27K36K45KMin: 50462.34 / Avg: 50605.56 / Max: 50865.05Min: 50471.19 / Avg: 50607.74 / Max: 50844.34Min: 50456.07 / Avg: 50609.28 / Max: 50897.951. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpcre -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -lbsd -pthread

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: SpaceshipLinux 5.10.130Linux 5.15.83Linux 6.10.811.622.433.244.05SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.63.63.6
OpenBenchmarking.orgFPS, More Is BetterNatron 2.4.3Input: SpaceshipLinux 5.10.130Linux 5.15.83Linux 6.1246810Min: 3.6 / Avg: 3.6 / Max: 3.6Min: 3.6 / Avg: 3.6 / Max: 3.6Min: 3.6 / Avg: 3.6 / Max: 3.6

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsLinux 5.10.130Linux 5.15.83Linux 6.1200K400K600K800K1000KSE +/- 6508.49, N = 3SE +/- 3709.52, N = 3SE +/- 8664.27, N = 3911917.94916397.13916843.521. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc C String FunctionsLinux 5.10.130Linux 5.15.83Linux 6.1160K320K480K640K800KMin: 904104.5 / Avg: 911917.94 / Max: 924840.97Min: 909197.6 / Avg: 916397.13 / Max: 921548.25Min: 906229.6 / Avg: 916843.52 / Max: 934012.911. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: System V Message PassingLinux 5.10.130Linux 5.15.83Linux 6.13M6M9M12M15MSE +/- 23387.52, N = 3SE +/- 4399.60, N = 3SE +/- 26770.64, N = 36490812.358257907.0614896082.791. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: System V Message PassingLinux 5.10.130Linux 5.15.83Linux 6.13M6M9M12M15MMin: 6447860.45 / Avg: 6490812.35 / Max: 6528328.21Min: 8249334.09 / Avg: 8257907.06 / Max: 8263910.41Min: 14845730.63 / Avg: 14896082.79 / Max: 14937022.631. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: NUMALinux 6.1Linux 5.15.83Linux 5.10.13080160240320400SE +/- 1.78, N = 3SE +/- 0.90, N = 3SE +/- 2.82, N = 3256.61335.58358.051. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: NUMALinux 6.1Linux 5.15.83Linux 5.10.13060120180240300Min: 254.57 / Avg: 256.61 / Max: 260.15Min: 334.26 / Avg: 335.58 / Max: 337.3Min: 354.56 / Avg: 358.05 / Max: 363.621. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SENDFILELinux 5.10.130Linux 6.1Linux 5.15.8360K120K180K240K300KSE +/- 2449.06, N = 3SE +/- 1947.11, N = 3SE +/- 2143.98, N = 3241610.68284966.04285766.991. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: SENDFILELinux 5.10.130Linux 6.1Linux 5.15.8350K100K150K200K250KMin: 236713.28 / Avg: 241610.68 / Max: 244131.63Min: 281071.94 / Avg: 284966.04 / Max: 286938.1Min: 281479.56 / Avg: 285766.99 / Max: 287968.721. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: AtomicLinux 5.10.130Linux 5.15.83Linux 6.150K100K150K200K250KSE +/- 1447.49, N = 3SE +/- 1620.65, N = 3SE +/- 3644.44, N = 3223731.70225144.33225639.321. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: AtomicLinux 5.10.130Linux 5.15.83Linux 6.140K80K120K160K200KMin: 221982.34 / Avg: 223731.7 / Max: 226604.01Min: 222524.49 / Avg: 225144.33 / Max: 228107.08Min: 219557.03 / Avg: 225639.32 / Max: 232158.981. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Cpuminer-Opt

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

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlLinux 5.10.130Linux 6.1Linux 5.15.834K8K12K16K20KSE +/- 286.72, N = 3SE +/- 135.32, N = 3SE +/- 185.02, N = 31736317477176101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Myriad-GroestlLinux 5.10.130Linux 6.1Linux 5.15.833K6K9K12K15KMin: 16790 / Avg: 17363.33 / Max: 17660Min: 17210 / Avg: 17476.67 / Max: 17650Min: 17420 / Avg: 17610 / Max: 179801. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocLinux 6.1Linux 5.15.83Linux 5.10.1305M10M15M20M25MSE +/- 91731.80, N = 3SE +/- 130302.14, N = 3SE +/- 90978.10, N = 315989079.7720930090.9622392194.281. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MallocLinux 6.1Linux 5.15.83Linux 5.10.1304M8M12M16M20MMin: 15885717.96 / Avg: 15989079.77 / Max: 16172029.18Min: 20670365.41 / Avg: 20930090.96 / Max: 21078471.95Min: 22218615.87 / Avg: 22392194.28 / Max: 22526248.151. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Cpuminer-Opt

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

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinLinux 6.1Linux 5.15.83Linux 5.10.13030K60K90K120K150KSE +/- 283.78, N = 3SE +/- 3.33, N = 3SE +/- 169.54, N = 31343201348331351031. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinLinux 6.1Linux 5.15.83Linux 5.10.13020K40K60K80K100KMin: 133960 / Avg: 134320 / Max: 134880Min: 134830 / Avg: 134833.33 / Max: 134840Min: 134900 / Avg: 135103.33 / Max: 1354401. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SLinux 6.1Linux 5.10.130Linux 5.15.83200K400K600K800K1000KSE +/- 3289.87, N = 3SE +/- 6874.21, N = 3SE +/- 10686.26, N = 31137550114910311505831. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SLinux 6.1Linux 5.10.130Linux 5.15.83200K400K600K800K1000KMin: 1131220 / Avg: 1137550 / Max: 1142270Min: 1136420 / Avg: 1149103.33 / Max: 1160040Min: 1135450 / Avg: 1150583.33 / Max: 11712201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: IO_uringLinux 5.15.83Linux 6.1Linux 5.10.1308K16K24K32K40KSE +/- 501.84, N = 3SE +/- 240.39, N = 3SE +/- 401.23, N = 332758.8932918.8036489.151. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: IO_uringLinux 5.15.83Linux 6.1Linux 5.10.1306K12K18K24K30KMin: 31868.84 / Avg: 32758.89 / Max: 33605.66Min: 32439.24 / Avg: 32918.8 / Max: 33188.2Min: 35760.18 / Avg: 36489.15 / Max: 37144.181. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Cpuminer-Opt

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

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinLinux 6.1Linux 5.10.130Linux 5.15.833K6K9K12K15KSE +/- 46.67, N = 3SE +/- 50.00, N = 31442014497145001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinLinux 6.1Linux 5.10.130Linux 5.15.833K6K9K12K15KMin: 14450 / Avg: 14496.67 / Max: 14590Min: 14450 / Avg: 14500 / Max: 146001. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiLinux 6.1Linux 5.15.83Linux 5.10.13080160240320400SE +/- 4.81, N = 3SE +/- 4.11, N = 3SE +/- 4.81, N = 3373.45373.55374.941. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: MagiLinux 6.1Linux 5.15.83Linux 5.10.13070140210280350Min: 368.44 / Avg: 373.45 / Max: 383.07Min: 369.26 / Avg: 373.55 / Max: 381.77Min: 369.39 / Avg: 374.94 / Max: 384.521. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

Stress-NG

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

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: ForkingLinux 6.1Linux 5.10.130Linux 5.15.8313K26K39K52K65KSE +/- 386.64, N = 3SE +/- 175.99, N = 3SE +/- 184.20, N = 353632.6756719.5160087.361. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: ForkingLinux 6.1Linux 5.10.130Linux 5.15.8310K20K30K40K50KMin: 53016.12 / Avg: 53632.67 / Max: 54345.15Min: 56392.77 / Avg: 56719.51 / Max: 56996.24Min: 59728.25 / Avg: 60087.36 / Max: 60338.121. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Vector MathLinux 6.1Linux 5.10.130Linux 5.15.8312K24K36K48K60KSE +/- 321.30, N = 3SE +/- 337.57, N = 3SE +/- 330.15, N = 355344.3255351.5855415.011. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Vector MathLinux 6.1Linux 5.10.130Linux 5.15.8310K20K30K40K50KMin: 54938.56 / Avg: 55344.32 / Max: 55978.74Min: 55010.17 / Avg: 55351.58 / Max: 56026.7Min: 55010.75 / Avg: 55415.01 / Max: 56069.281. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Matrix MathLinux 6.1Linux 5.15.83Linux 5.10.13012K24K36K48K60KSE +/- 647.24, N = 3SE +/- 503.37, N = 3SE +/- 476.25, N = 355875.1855890.2355915.361. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Matrix MathLinux 6.1Linux 5.15.83Linux 5.10.13010K20K30K40K50KMin: 54604.91 / Avg: 55875.18 / Max: 56726.12Min: 54883.8 / Avg: 55890.23 / Max: 56415.01Min: 54995.07 / Avg: 55915.36 / Max: 56588.21. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MEMFDLinux 6.1Linux 5.15.83Linux 5.10.1302004006008001000SE +/- 0.28, N = 3SE +/- 0.39, N = 3SE +/- 0.88, N = 3667.82879.671008.621. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MEMFDLinux 6.1Linux 5.15.83Linux 5.10.1302004006008001000Min: 667.28 / Avg: 667.82 / Max: 668.19Min: 878.89 / Avg: 879.67 / Max: 880.13Min: 1007.17 / Avg: 1008.62 / Max: 1010.21. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MMAPLinux 6.1Linux 5.15.83Linux 5.10.13080160240320400SE +/- 2.76, N = 3SE +/- 0.56, N = 3SE +/- 0.74, N = 3310.22381.23390.201. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: MMAPLinux 6.1Linux 5.15.83Linux 5.10.13070140210280350Min: 304.73 / Avg: 310.22 / Max: 313.39Min: 380.23 / Avg: 381.23 / Max: 382.15Min: 388.73 / Avg: 390.2 / Max: 391.111. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CryptoLinux 6.1Linux 5.15.83Linux 5.10.1304K8K12K16K20KSE +/- 66.53, N = 3SE +/- 83.58, N = 3SE +/- 47.41, N = 318727.6118733.1018742.671. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: CryptoLinux 6.1Linux 5.15.83Linux 5.10.1303K6K9K12K15KMin: 18599.29 / Avg: 18727.61 / Max: 18822.23Min: 18566.43 / Avg: 18733.1 / Max: 18827.44Min: 18654.25 / Avg: 18742.67 / Max: 18816.541. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Memory CopyingLinux 5.15.83Linux 6.1Linux 5.10.1309001800270036004500SE +/- 42.48, N = 3SE +/- 29.72, N = 3SE +/- 31.35, N = 34129.344181.804201.021. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Memory CopyingLinux 5.15.83Linux 6.1Linux 5.10.1307001400210028003500Min: 4067.88 / Avg: 4129.34 / Max: 4210.87Min: 4126.97 / Avg: 4181.8 / Max: 4229.08Min: 4153.53 / Avg: 4201.02 / Max: 4260.221. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingLinux 6.1Linux 5.10.130Linux 5.15.834080120160200SE +/- 1.25, N = 3SE +/- 1.58, N = 3SE +/- 1.18, N = 3194.30194.36194.881. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread
OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Glibc Qsort Data SortingLinux 6.1Linux 5.10.130Linux 5.15.834080120160200Min: 192.67 / Avg: 194.3 / Max: 196.77Min: 192.57 / Avg: 194.36 / Max: 197.5Min: 193.6 / Avg: 194.88 / Max: 197.231. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

Cpuminer-Opt

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

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptLinux 5.15.83Linux 6.1Linux 5.10.130110220330440550SE +/- 5.31, N = 3SE +/- 2.46, N = 3SE +/- 3.92, N = 3489.83491.85491.901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptLinux 5.15.83Linux 6.1Linux 5.10.13090180270360450Min: 479.39 / Avg: 489.83 / Max: 496.76Min: 487.05 / Avg: 491.85 / Max: 495.15Min: 484.07 / Avg: 491.9 / Max: 496.291. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xLinux 6.1Linux 5.10.130Linux 5.15.83140280420560700SE +/- 0.34, N = 3SE +/- 0.20, N = 3SE +/- 1.51, N = 3638.64640.06641.611. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xLinux 6.1Linux 5.10.130Linux 5.15.83110220330440550Min: 638.21 / Avg: 638.64 / Max: 639.32Min: 639.67 / Avg: 640.06 / Max: 640.36Min: 640.03 / Avg: 641.61 / Max: 644.631. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinLinux 6.1Linux 5.15.83Linux 5.10.1306001200180024003000SE +/- 1.62, N = 3SE +/- 0.80, N = 3SE +/- 27.91, N = 32800.622812.342833.091. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinLinux 6.1Linux 5.15.83Linux 5.10.1305001000150020002500Min: 2797.4 / Avg: 2800.62 / Max: 2802.43Min: 2810.73 / Avg: 2812.34 / Max: 2813.19Min: 2802.19 / Avg: 2833.09 / Max: 2888.791. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinLinux 5.15.83Linux 6.1Linux 5.10.13070K140K210K280K350KSE +/- 661.12, N = 3SE +/- 2222.66, N = 3SE +/- 2642.36, N = 33139173157233159131. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinLinux 5.15.83Linux 6.1Linux 5.10.13050K100K150K200K250KMin: 312600 / Avg: 313916.67 / Max: 314680Min: 311350 / Avg: 315723.33 / Max: 318600Min: 310630 / Avg: 315913.33 / Max: 3186601. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteLinux 6.1Linux 5.15.83Linux 5.10.13050K100K150K200K250KSE +/- 258.61, N = 3SE +/- 6.67, N = 3SE +/- 820.33, N = 32172372184932188301. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteLinux 6.1Linux 5.15.83Linux 5.10.13040K80K120K160K200KMin: 216730 / Avg: 217236.67 / Max: 217580Min: 218480 / Avg: 218493.33 / Max: 218500Min: 217610 / Avg: 218830 / Max: 2203901. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinLinux 6.1Linux 5.10.130Linux 5.15.8314002800420056007000SE +/- 2.16, N = 3SE +/- 2.21, N = 3SE +/- 11.67, N = 36571.666572.816594.181. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinLinux 6.1Linux 5.10.130Linux 5.15.8311002200330044005500Min: 6567.38 / Avg: 6571.66 / Max: 6574.33Min: 6570.17 / Avg: 6572.81 / Max: 6577.21Min: 6580.81 / Avg: 6594.18 / Max: 6617.421. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsLinux 6.1Linux 5.15.83Linux 5.10.13020K40K60K80K100KSE +/- 615.39, N = 3SE +/- 167.46, N = 3SE +/- 656.84, N = 39601096663968201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp
OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsLinux 6.1Linux 5.15.83Linux 5.10.13020K40K60K80K100KMin: 94970 / Avg: 96010 / Max: 97100Min: 96370 / Avg: 96663.33 / Max: 96950Min: 95640 / Avg: 96820 / Max: 979101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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: 1BLinux 5.15.83Linux 6.1Linux 5.10.130612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 324.5624.4624.45
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1BLinux 5.15.83Linux 6.1Linux 5.10.130612182430Min: 24.52 / Avg: 24.56 / Max: 24.63Min: 24.42 / Avg: 24.46 / Max: 24.49Min: 24.41 / Avg: 24.45 / Max: 24.48

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Sequential FillLinux 6.1Linux 5.15.83Linux 5.10.130300K600K900K1200K1500KSE +/- 11595.14, N = 3SE +/- 3547.16, N = 3SE +/- 10501.31, N = 31134991119383712042551. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Sequential FillLinux 6.1Linux 5.15.83Linux 5.10.130200K400K600K800K1000KMin: 1118443 / Avg: 1134991 / Max: 1157335Min: 1186959 / Avg: 1193837.33 / Max: 1198781Min: 1183344 / Avg: 1204255.33 / Max: 12164051. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

srsRAN

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

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMLinux 6.1Linux 5.10.130Linux 5.15.83306090120150SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3130.3131.0131.61. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMLinux 6.1Linux 5.10.130Linux 5.15.8320406080100Min: 130.1 / Avg: 130.33 / Max: 130.6Min: 130.8 / Avg: 130.97 / Max: 131.1Min: 131.5 / Avg: 131.6 / Max: 131.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMLinux 6.1Linux 5.10.130Linux 5.15.8370140210280350SE +/- 0.09, N = 3SE +/- 0.25, N = 3SE +/- 0.15, N = 3305.5307.0307.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMLinux 6.1Linux 5.10.130Linux 5.15.8360120180240300Min: 305.3 / Avg: 305.47 / Max: 305.6Min: 306.7 / Avg: 307 / Max: 307.5Min: 307.6 / Avg: 307.9 / Max: 308.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMLinux 5.10.130Linux 6.1Linux 5.15.831530456075SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 365.965.966.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMLinux 5.10.130Linux 6.1Linux 5.15.831326395265Min: 65.8 / Avg: 65.87 / Max: 66Min: 65.8 / Avg: 65.9 / Max: 66Min: 65.7 / Avg: 66 / Max: 66.21. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMLinux 6.1Linux 5.10.130Linux 5.15.8320406080100SE +/- 0.15, N = 3SE +/- 0.35, N = 3SE +/- 0.10, N = 398.398.698.61. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMLinux 6.1Linux 5.10.130Linux 5.15.8320406080100Min: 98.1 / Avg: 98.3 / Max: 98.6Min: 98.2 / Avg: 98.6 / Max: 99.3Min: 98.5 / Avg: 98.6 / Max: 98.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pLinux 5.15.83Linux 6.1Linux 5.10.130246810SE +/- 0.016, N = 3SE +/- 0.044, N = 3SE +/- 0.057, N = 36.9857.0247.0461. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pLinux 5.15.83Linux 6.1Linux 5.10.1303691215Min: 6.97 / Avg: 6.99 / Max: 7.02Min: 6.96 / Avg: 7.02 / Max: 7.11Min: 6.96 / Avg: 7.05 / Max: 7.151. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: FastLinux 6.1Linux 5.15.83Linux 5.10.1304080120160200SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3192.99193.02193.131. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastLinux 6.1Linux 5.15.83Linux 5.10.1304080120160200Min: 192.94 / Avg: 192.99 / Max: 193.05Min: 192.96 / Avg: 193.02 / Max: 193.13Min: 193.06 / Avg: 193.13 / Max: 193.21. (CXX) g++ options: -O3 -flto -pthread

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPULinux 6.1Linux 5.15.83Linux 5.10.1301.12072.24143.36214.48285.6035SE +/- 0.02580, N = 3SE +/- 0.01367, N = 3SE +/- 0.01724, N = 34.980674.708344.70699MIN: 4.62MIN: 4.4MIN: 4.431. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPULinux 6.1Linux 5.15.83Linux 5.10.130246810Min: 4.95 / Avg: 4.98 / Max: 5.03Min: 4.68 / Avg: 4.71 / Max: 4.73Min: 4.69 / Avg: 4.71 / Max: 4.741. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.830.12180.24360.36540.48720.609SE +/- 0.000200, N = 3SE +/- 0.000704, N = 3SE +/- 0.000263, N = 30.5414300.5406540.540452MIN: 0.53MIN: 0.53MIN: 0.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.83246810Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.541. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

srsRAN

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

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMLinux 5.10.130Linux 6.1Linux 5.15.83306090120150SE +/- 0.03, N = 3SE +/- 0.15, N = 3SE +/- 0.06, N = 3123.3123.3123.91. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMLinux 5.10.130Linux 6.1Linux 5.15.8320406080100Min: 123.2 / Avg: 123.27 / Max: 123.3Min: 123.1 / Avg: 123.3 / Max: 123.6Min: 123.8 / Avg: 123.9 / Max: 1241. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMLinux 5.10.130Linux 6.1Linux 5.15.8360120180240300SE +/- 0.30, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3279.8280.3282.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm
OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMLinux 5.10.130Linux 6.1Linux 5.15.8350100150200250Min: 279.2 / Avg: 279.77 / Max: 280.2Min: 280 / Avg: 280.3 / Max: 280.5Min: 281.9 / Avg: 282.03 / Max: 282.21. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -mavx512f -mavx512cd -mavx512bw -mavx512dq -lpthread -ldl -lm

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KLinux 5.10.130Linux 6.1Linux 5.15.83816243240SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 334.5234.7234.821. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4KLinux 5.10.130Linux 6.1Linux 5.15.83714212835Min: 34.4 / Avg: 34.52 / Max: 34.64Min: 34.39 / Avg: 34.72 / Max: 35.09Min: 34.53 / Avg: 34.82 / Max: 35.061. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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: GoogLeNetLinux 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3114.41115.15116.16
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetLinux 5.10.130Linux 5.15.83Linux 6.120406080100Min: 114.17 / Avg: 114.41 / Max: 114.57Min: 115.01 / Avg: 115.15 / Max: 115.35Min: 115.83 / Avg: 116.16 / Max: 116.34

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessLinux 5.10.130Linux 6.1Linux 5.15.830.2880.5760.8641.1521.44SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.271.271.281. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessLinux 5.10.130Linux 6.1Linux 5.15.83246810Min: 1.27 / Avg: 1.27 / Max: 1.27Min: 1.27 / Avg: 1.27 / Max: 1.27Min: 1.28 / Avg: 1.28 / Max: 1.281. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetLinux 6.1Linux 5.10.130Linux 5.15.8350100150200250SE +/- 0.28, N = 3SE +/- 0.47, N = 3SE +/- 0.13, N = 3211.06211.25211.47
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetLinux 6.1Linux 5.10.130Linux 5.15.834080120160200Min: 210.5 / Avg: 211.06 / Max: 211.43Min: 210.32 / Avg: 211.25 / Max: 211.83Min: 211.29 / Avg: 211.47 / Max: 211.71

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz bitshuffleLinux 5.10.130Linux 6.1Linux 5.15.832K4K6K8K10KSE +/- 20.30, N = 3SE +/- 25.18, N = 3SE +/- 12.20, N = 310158.910161.310555.71. (CC) gcc options: -std=gnu99 -O3 -lrt -pthread -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz bitshuffleLinux 5.10.130Linux 6.1Linux 5.15.832K4K6K8K10KMin: 10119.4 / Avg: 10158.9 / Max: 10186.8Min: 10126.2 / Avg: 10161.27 / Max: 10210.1Min: 10534 / Avg: 10555.73 / Max: 10576.21. (CC) gcc options: -std=gnu99 -O3 -lrt -pthread -lm

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 8 Realtime - Input: Bosphorus 4KLinux 6.1Linux 5.15.83Linux 5.10.130918273645SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 336.1037.8637.881. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KLinux 6.1Linux 5.15.83Linux 5.10.130816243240Min: 35.99 / Avg: 36.1 / Max: 36.25Min: 37.64 / Avg: 37.86 / Max: 38.25Min: 37.77 / Avg: 37.88 / Max: 38.031. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyLinux 5.15.83Linux 5.10.130Linux 6.148121620SE +/- 0.09, N = 3SE +/- 0.27, N = 3SE +/- 0.19, N = 315.8115.8015.53
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyLinux 5.15.83Linux 5.10.130Linux 6.148121620Min: 15.67 / Avg: 15.81 / Max: 15.97Min: 15.45 / Avg: 15.8 / Max: 16.33Min: 15.27 / Avg: 15.53 / Max: 15.91

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.830.51681.03361.55042.06722.584SE +/- 0.00145, N = 3SE +/- 0.00305, N = 3SE +/- 0.00109, N = 32.297082.296362.29385MIN: 2.22MIN: 2.22MIN: 2.191. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.83246810Min: 2.29 / Avg: 2.3 / Max: 2.3Min: 2.29 / Avg: 2.3 / Max: 2.3Min: 2.29 / Avg: 2.29 / Max: 2.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPULinux 5.15.83Linux 6.1Linux 5.10.1300.11190.22380.33570.44760.5595SE +/- 0.000206, N = 3SE +/- 0.000335, N = 3SE +/- 0.000232, N = 30.4972480.4967760.496613MIN: 0.48MIN: 0.48MIN: 0.481. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPULinux 5.15.83Linux 6.1Linux 5.10.130246810Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.5Min: 0.5 / Avg: 0.5 / Max: 0.51. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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: 1e12Linux 5.10.130Linux 5.15.83Linux 6.148121620SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 314.4414.4314.421. (CXX) g++ options: -O3 -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12Linux 5.10.130Linux 5.15.83Linux 6.148121620Min: 14.43 / Avg: 14.44 / Max: 14.46Min: 14.37 / Avg: 14.43 / Max: 14.53Min: 14.39 / Avg: 14.42 / Max: 14.481. (CXX) g++ options: -O3 -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 9 Realtime - Input: Bosphorus 4KLinux 6.1Linux 5.15.83Linux 5.10.1301122334455SE +/- 0.11, N = 3SE +/- 0.14, N = 3SE +/- 0.06, N = 345.4147.6648.051. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KLinux 6.1Linux 5.15.83Linux 5.10.1301020304050Min: 45.2 / Avg: 45.41 / Max: 45.59Min: 47.45 / Avg: 47.66 / Max: 47.92Min: 47.96 / Avg: 48.05 / Max: 48.161. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KLinux 6.1Linux 5.15.83Linux 5.10.1301122334455SE +/- 0.14, N = 3SE +/- 0.20, N = 3SE +/- 0.10, N = 345.9748.3348.341. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KLinux 6.1Linux 5.15.83Linux 5.10.1301020304050Min: 45.71 / Avg: 45.97 / Max: 46.21Min: 47.93 / Avg: 48.33 / Max: 48.56Min: 48.15 / Avg: 48.34 / Max: 48.471. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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: 500MLinux 5.15.83Linux 5.10.130Linux 6.13691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.3711.3511.29
OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500MLinux 5.15.83Linux 5.10.130Linux 6.13691215Min: 11.35 / Avg: 11.37 / Max: 11.37Min: 11.33 / Avg: 11.35 / Max: 11.37Min: 11.28 / Avg: 11.29 / Max: 11.31

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: AlexNetLinux 6.1Linux 5.10.130Linux 5.15.834080120160200SE +/- 0.22, N = 3SE +/- 0.44, N = 3SE +/- 0.13, N = 3166.31166.55166.90
OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetLinux 6.1Linux 5.10.130Linux 5.15.83306090120150Min: 165.87 / Avg: 166.31 / Max: 166.56Min: 166.05 / Avg: 166.55 / Max: 167.43Min: 166.65 / Avg: 166.9 / Max: 167.04

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 6.1Linux 5.15.83Linux 5.10.1300.21680.43360.65040.86721.084SE +/- 0.002932, N = 3SE +/- 0.003629, N = 3SE +/- 0.001517, N = 30.9634000.9616820.956399MIN: 0.93MIN: 0.93MIN: 0.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 6.1Linux 5.15.83Linux 5.10.130246810Min: 0.96 / Avg: 0.96 / Max: 0.97Min: 0.96 / Avg: 0.96 / Max: 0.97Min: 0.95 / Avg: 0.96 / Max: 0.961. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.15.83Linux 6.1Linux 5.10.1300.07110.14220.21330.28440.3555SE +/- 0.001833, N = 3SE +/- 0.000082, N = 3SE +/- 0.000694, N = 30.3160050.3139750.313238MIN: 0.3MIN: 0.3MIN: 0.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.15.83Linux 6.1Linux 5.10.13012345Min: 0.31 / Avg: 0.32 / Max: 0.32Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.31 / Avg: 0.31 / Max: 0.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz shuffleLinux 5.10.130Linux 6.1Linux 5.15.833K6K9K12K15KSE +/- 62.87, N = 3SE +/- 27.75, N = 3SE +/- 51.78, N = 315238.115256.115998.61. (CC) gcc options: -std=gnu99 -O3 -lrt -pthread -lm
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz shuffleLinux 5.10.130Linux 6.1Linux 5.15.833K6K9K12K15KMin: 15113.9 / Avg: 15238.1 / Max: 15317.2Min: 15200.9 / Avg: 15256.07 / Max: 15288.9Min: 15916.8 / Avg: 15998.57 / Max: 16094.51. (CC) gcc options: -std=gnu99 -O3 -lrt -pthread -lm

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumLinux 6.1Linux 5.15.83Linux 5.10.1301632486480SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 372.1072.1272.161. (CXX) g++ options: -O3 -flto -pthread
OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumLinux 6.1Linux 5.15.83Linux 5.10.1301428425670Min: 72.06 / Avg: 72.1 / Max: 72.13Min: 72.08 / Avg: 72.12 / Max: 72.19Min: 72.15 / Avg: 72.16 / Max: 72.171. (CXX) g++ options: -O3 -flto -pthread

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: 6, LosslessLinux 6.1Linux 5.15.83Linux 5.10.1303691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 311.5811.4311.381. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessLinux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 11.54 / Avg: 11.58 / Max: 11.62Min: 11.41 / Avg: 11.43 / Max: 11.44Min: 11.3 / Avg: 11.38 / Max: 11.451. (CXX) g++ options: -O3 -fPIC -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: f32 - Engine: CPULinux 5.10.130Linux 6.1Linux 5.15.830.69781.39562.09342.79123.489SE +/- 0.00480, N = 3SE +/- 0.00478, N = 3SE +/- 0.01196, N = 33.101443.094333.08561MIN: 3.06MIN: 3.06MIN: 3.051. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: f32 - Engine: CPULinux 5.10.130Linux 6.1Linux 5.15.83246810Min: 3.09 / Avg: 3.1 / Max: 3.11Min: 3.09 / Avg: 3.09 / Max: 3.1Min: 3.07 / Avg: 3.09 / Max: 3.111. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.10.28190.56380.84571.12761.4095SE +/- 0.00257, N = 3SE +/- 0.00241, N = 3SE +/- 0.00376, N = 31.252711.251741.24871MIN: 1.22MIN: 1.22MIN: 1.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.1246810Min: 1.25 / Avg: 1.25 / Max: 1.26Min: 1.25 / Avg: 1.25 / Max: 1.26Min: 1.24 / Avg: 1.25 / Max: 1.261. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianLinux 6.1Linux 5.10.130Linux 5.15.833691215SE +/- 0.037, N = 3SE +/- 0.038, N = 3SE +/- 0.045, N = 39.0739.0709.018
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianLinux 6.1Linux 5.10.130Linux 5.15.833691215Min: 9.03 / Avg: 9.07 / Max: 9.15Min: 9.01 / Avg: 9.07 / Max: 9.14Min: 8.94 / Avg: 9.02 / Max: 9.09

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionLinux 5.10.130Linux 6.1Linux 5.15.830.69531.39062.08592.78123.4765SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.073.083.091. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionLinux 5.10.130Linux 6.1Linux 5.15.83246810Min: 3.03 / Avg: 3.07 / Max: 3.1Min: 3.07 / Avg: 3.08 / Max: 3.08Min: 3.09 / Avg: 3.09 / Max: 3.11. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pLinux 5.15.83Linux 6.1Linux 5.10.13020406080100SE +/- 0.30, N = 3SE +/- 0.46, N = 3SE +/- 0.40, N = 395.0495.1595.491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pLinux 5.15.83Linux 6.1Linux 5.10.13020406080100Min: 94.59 / Avg: 95.04 / Max: 95.62Min: 94.44 / Avg: 95.15 / Max: 96.02Min: 94.93 / Avg: 95.49 / Max: 96.261. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Linux 6.1Linux 5.15.83Linux 5.10.130246810SE +/- 0.036, N = 3SE +/- 0.054, N = 3SE +/- 0.059, N = 36.7986.7496.6891. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Linux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 6.73 / Avg: 6.8 / Max: 6.85Min: 6.66 / Avg: 6.75 / Max: 6.84Min: 6.61 / Avg: 6.69 / Max: 6.81. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessLinux 6.1Linux 5.15.83Linux 5.10.130246810SE +/- 0.029, N = 3SE +/- 0.017, N = 3SE +/- 0.021, N = 36.9096.6666.6371. (CXX) g++ options: -O3 -fPIC -lm
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessLinux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 6.86 / Avg: 6.91 / Max: 6.96Min: 6.64 / Avg: 6.67 / Max: 6.7Min: 6.6 / Avg: 6.64 / Max: 6.661. (CXX) g++ options: -O3 -fPIC -lm

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: DefaultLinux 6.1Linux 5.15.83Linux 5.10.13051015202519.7819.4919.45

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPULinux 5.15.83Linux 6.1Linux 5.10.1300.94581.89162.83743.78324.729SE +/- 0.00929, N = 3SE +/- 0.00677, N = 3SE +/- 0.01257, N = 34.203434.180964.15869MIN: 4.13MIN: 4.13MIN: 4.091. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPULinux 5.15.83Linux 6.1Linux 5.10.130246810Min: 4.19 / Avg: 4.2 / Max: 4.22Min: 4.17 / Avg: 4.18 / Max: 4.19Min: 4.14 / Avg: 4.16 / Max: 4.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.15.83Linux 5.10.130Linux 6.10.97021.94042.91063.88084.851SE +/- 0.01348, N = 3SE +/- 0.00912, N = 3SE +/- 0.00632, N = 34.311784.291534.28618MIN: 4.24MIN: 4.25MIN: 4.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.15.83Linux 5.10.130Linux 6.1246810Min: 4.29 / Avg: 4.31 / Max: 4.33Min: 4.28 / Avg: 4.29 / Max: 4.31Min: 4.28 / Avg: 4.29 / Max: 4.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KLinux 5.10.130Linux 6.1Linux 5.15.83306090120150SE +/- 0.46, N = 3SE +/- 0.29, N = 3SE +/- 0.62, N = 3126.50126.76127.531. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4KLinux 5.10.130Linux 6.1Linux 5.15.8320406080100Min: 125.84 / Avg: 126.5 / Max: 127.39Min: 126.2 / Avg: 126.76 / Max: 127.16Min: 126.31 / Avg: 127.53 / Max: 128.261. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KLinux 5.10.130Linux 6.1Linux 5.15.83306090120150SE +/- 0.69, N = 3SE +/- 0.62, N = 3SE +/- 0.32, N = 3120.79121.60122.981. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4KLinux 5.10.130Linux 6.1Linux 5.15.8320406080100Min: 119.54 / Avg: 120.79 / Max: 121.9Min: 120.69 / Avg: 121.6 / Max: 122.79Min: 122.61 / Avg: 122.98 / Max: 123.611. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.830.74531.49062.23592.98123.7265SE +/- 0.00768, N = 3SE +/- 0.00465, N = 3SE +/- 0.00438, N = 33.312443.306063.29633MIN: 3.26MIN: 3.27MIN: 3.271. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPULinux 6.1Linux 5.10.130Linux 5.15.83246810Min: 3.3 / Avg: 3.31 / Max: 3.32Min: 3.3 / Avg: 3.31 / Max: 3.31Min: 3.29 / Avg: 3.3 / Max: 3.311. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.10.19160.38320.57480.76640.958SE +/- 0.006451, N = 3SE +/- 0.010105, N = 3SE +/- 0.003867, N = 30.8514550.8465430.831866MIN: 0.83MIN: 0.82MIN: 0.811. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.1246810Min: 0.84 / Avg: 0.85 / Max: 0.86Min: 0.83 / Avg: 0.85 / Max: 0.86Min: 0.82 / Avg: 0.83 / Max: 0.841. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Linux 6.1Linux 5.10.130Linux 5.15.833691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 38.959.009.021. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Linux 6.1Linux 5.10.130Linux 5.15.833691215Min: 8.93 / Avg: 8.95 / Max: 8.97Min: 9 / Avg: 9 / Max: 9.01Min: 9.02 / Avg: 9.02 / Max: 9.021. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread

LAMMPS Molecular Dynamics Simulator

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

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinLinux 6.1Linux 5.15.83Linux 5.10.1303691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 310.6110.6410.661. (CXX) g++ options: -O3 -pthread -lm -ldl
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinLinux 6.1Linux 5.15.83Linux 5.10.1303691215Min: 10.59 / Avg: 10.61 / Max: 10.63Min: 10.62 / Avg: 10.64 / Max: 10.66Min: 10.62 / Avg: 10.66 / Max: 10.681. (CXX) g++ options: -O3 -pthread -lm -ldl

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pLinux 6.1Linux 5.10.130Linux 5.15.8390180270360450SE +/- 2.62, N = 3SE +/- 0.88, N = 3SE +/- 0.85, N = 3409.13415.14418.021. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pLinux 6.1Linux 5.10.130Linux 5.15.8370140210280350Min: 403.96 / Avg: 409.13 / Max: 412.51Min: 413.4 / Avg: 415.14 / Max: 416.24Min: 416.73 / Avg: 418.02 / Max: 419.621. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

WebP Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultLinux 5.10.130Linux 6.1Linux 5.15.8348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 314.3714.3814.401. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread
OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultLinux 5.10.130Linux 6.1Linux 5.15.8348121620Min: 14.36 / Avg: 14.37 / Max: 14.38Min: 14.36 / Avg: 14.38 / Max: 14.4Min: 14.4 / Avg: 14.4 / Max: 14.41. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pLinux 6.1Linux 5.10.130Linux 5.15.8390180270360450SE +/- 1.64, N = 3SE +/- 0.82, N = 3SE +/- 1.29, N = 3419.75423.65425.261. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080pLinux 6.1Linux 5.10.130Linux 5.15.8380160240320400Min: 416.63 / Avg: 419.75 / Max: 422.21Min: 422.07 / Avg: 423.65 / Max: 424.81Min: 423.03 / Avg: 425.26 / Max: 427.511. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeLinux 6.1Linux 5.15.83Linux 5.10.1304080120160200SE +/- 0.67, N = 3200179154
OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch TimeLinux 6.1Linux 5.15.83Linux 5.10.1304080120160200Min: 178 / Avg: 178.67 / Max: 180

302 Results Shown

Blender
Timed Linux Kernel Compilation
LAMMPS Molecular Dynamics Simulator
TensorFlow
OpenFOAM:
  drivaerFastback, Medium Mesh Size - Execution Time
  drivaerFastback, Medium Mesh Size - Mesh Time
JPEG XL libjxl
Timed Node.js Compilation
OpenRadioss
JPEG XL libjxl
Blender
BRL-CAD
nekRS
Blender
OSPRay Studio
ClickHouse:
  100M Rows Web Analytics Dataset, Third Run
  100M Rows Web Analytics Dataset, Second Run
  100M Rows Web Analytics Dataset, First Run / Cold Cache
OpenRadioss
OSPRay Studio:
  2 - 4K - 32 - Path Tracer
  1 - 4K - 32 - Path Tracer
miniBUDE:
  OpenMP - BM2:
    Billion Interactions/s
    GFInst/s
Mobile Neural Network:
  inception-v3
  mobilenet-v1-1.0
  MobileNetV2_224
  SqueezeNetV1.0
  resnet-v2-50
  squeezenetv1.1
  mobilenetV3
  nasnet
TensorFlow
OSPRay Studio:
  2 - 1080p - 16 - Path Tracer
  1 - 1080p - 16 - Path Tracer
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
Numenta Anomaly Benchmark
Primesieve
TensorFlow
OSPRay Studio
OpenRadioss
JPEG XL libjxl
OSPRay Studio
JPEG XL libjxl
OSPRay Studio:
  3 - 4K - 1 - Path Tracer
  3 - 4K - 16 - Path Tracer
NCNN:
  CPU - FastestDet
  CPU - vision_transformer
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
OpenRadioss
GraphicsMagick
OSPRay Studio
Xmrig
OSPRay Studio
Blender
libavif avifenc
Dragonflydb
Stress-NG
PostgreSQL:
  100 - 500 - Read Write - Average Latency
  100 - 500 - Read Write
  100 - 500 - Read Only - Average Latency
  100 - 500 - Read Only
  100 - 250 - Read Write - Average Latency
  100 - 250 - Read Write
  100 - 100 - Read Only - Average Latency
  100 - 100 - Read Only
  100 - 100 - Read Write - Average Latency
  100 - 100 - Read Write
  100 - 250 - Read Only - Average Latency
  100 - 250 - Read Only
OSPRay Studio
JPEG XL libjxl:
  JPEG - 90
  PNG - 90
Timed CPython Compilation
OSPRay Studio:
  3 - 1080p - 16 - Path Tracer
  3 - 1080p - 1 - Path Tracer
  3 - 1080p - 32 - Path Tracer
  2 - 1080p - 1 - Path Tracer
  1 - 1080p - 1 - Path Tracer
Numenta Anomaly Benchmark
Stargate Digital Audio Workstation
Blender
Xmrig
TensorFlow
OpenRadioss
Timed Godot Game Engine Compilation
TensorFlow
Timed Erlang/OTP Compilation
Stargate Digital Audio Workstation
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
OpenFOAM:
  drivaerFastback, Small Mesh Size - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
OSPRay Studio
oneDNN:
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
Timed Linux Kernel Compilation
libavif avifenc
JPEG XL Decoding libjxl
Stress-NG:
  Socket Activity
  Futex
  Mutex
Dragonflydb
SVT-AV1
Dragonflydb:
  200 - 5:1
  200 - 1:5
OpenVINO:
  Person Detection FP32 - CPU:
    ms
    FPS
Dragonflydb:
  50 - 1:5
  50 - 5:1
AOM AV1
Stress-NG
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
Timed PHP Compilation
EnCodec
Stargate Digital Audio Workstation
OpenVINO:
  Face Detection FP16 - CPU:
    ms
    FPS
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream:
    ms/batch
    items/sec
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
Facebook RocksDB
GraphicsMagick
Facebook RocksDB:
  Rand Fill Sync
  Update Rand
  Read Rand Write Rand
GraphicsMagick:
  Enhanced
  Swirl
Facebook RocksDB
GraphicsMagick:
  Noise-Gaussian
  Resizing
Facebook RocksDB
GraphicsMagick
TensorFlow
ASTC Encoder
EnCodec
Numenta Anomaly Benchmark
Stargate Digital Audio Workstation
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
TensorFlow
WebP Image Encode
srsRAN:
  4G PHY_DL_Test 100 PRB MIMO 256-QAM:
    UE Mb/s
    eNb Mb/s
Neural Magic DeepSparse:
  NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream:
    ms/batch
    items/sec
spaCy:
  en_core_web_trf
  en_core_web_lg
Neural Magic DeepSparse:
  NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Stargate Digital Audio Workstation
Neural Magic DeepSparse:
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
srsRAN:
  4G PHY_DL_Test 100 PRB MIMO 64-QAM:
    UE Mb/s
    eNb Mb/s
Stargate Digital Audio Workstation
Numenta Anomaly Benchmark
srsRAN
Neural Magic DeepSparse:
  CV Detection,YOLOv5s COCO - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream:
    ms/batch
    items/sec
Stargate Digital Audio Workstation
Neural Magic DeepSparse:
  CV Detection,YOLOv5s COCO - Synchronous Single-Stream:
    ms/batch
    items/sec
miniBUDE:
  OpenMP - BM1:
    Billion Interactions/s
    GFInst/s
Stargate Digital Audio Workstation
7-Zip Compression:
  Decompression Rating
  Compression Rating
Neural Magic DeepSparse:
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream:
    ms/batch
    items/sec
FLAC Audio Encoding
EnCodec
TensorFlow
ASTC Encoder
TensorFlow
JPEG XL Decoding libjxl
EnCodec
Stress-NG:
  x86_64 RdRand
  Context Switching
  Semaphores
Aircrack-ng
Natron
Stress-NG:
  Glibc C String Functions
  System V Message Passing
  NUMA
  SENDFILE
  Atomic
Cpuminer-Opt
Stress-NG
Cpuminer-Opt:
  Skeincoin
  Blake-2 S
Stress-NG
Cpuminer-Opt:
  Deepcoin
  Magi
Stress-NG:
  Forking
  Vector Math
  Matrix Math
  MEMFD
  MMAP
  Crypto
  Memory Copying
  Glibc Qsort Data Sorting
Cpuminer-Opt:
  scrypt
  x25x
  Ringcoin
  Triple SHA-256, Onecoin
  Quad SHA-256, Pyrite
  Garlicoin
  LBC, LBRY Credits
Y-Cruncher
Facebook RocksDB
srsRAN:
  4G PHY_DL_Test 100 PRB SISO 256-QAM:
    UE Mb/s
    eNb Mb/s
  5G PHY_DL_NR Test 52 PRB SISO 64-QAM:
    UE Mb/s
    eNb Mb/s
SVT-AV1
ASTC Encoder
oneDNN:
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
srsRAN:
  4G PHY_DL_Test 100 PRB SISO 64-QAM:
    UE Mb/s
    eNb Mb/s
SVT-AV1
TensorFlow
WebP Image Encode
TensorFlow
C-Blosc
AOM AV1
Numenta Anomaly Benchmark
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
Primesieve
AOM AV1:
  Speed 9 Realtime - Bosphorus 4K
  Speed 10 Realtime - Bosphorus 4K
Y-Cruncher
TensorFlow
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
C-Blosc
ASTC Encoder
libavif avifenc
oneDNN:
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
Numenta Anomaly Benchmark
WebP Image Encode
SVT-AV1
libavif avifenc:
  6
  10, Lossless
Timed CPython Compilation
oneDNN:
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 13 - Bosphorus 4K
oneDNN:
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
WebP Image Encode
LAMMPS Molecular Dynamics Simulator
SVT-AV1
WebP Image Encode
SVT-AV1
ctx_clock