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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  Duration
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-ngOpenFOAMNatronOSPRay Studio

Xeon Gold Cascade Lake Refresh LTS Linux Benchmarksctx-clock: Context Switch Timestress-ng: MMAPstress-ng: NUMAstress-ng: Futexstress-ng: MEMFDstress-ng: Mutexstress-ng: Atomicstress-ng: Cryptostress-ng: Mallocstress-ng: Forkingstress-ng: IO_uringstress-ng: SENDFILEstress-ng: CPU Cachestress-ng: CPU Stressstress-ng: Semaphoresstress-ng: Matrix Mathstress-ng: Vector Mathstress-ng: x86_64 RdRandstress-ng: Memory Copyingstress-ng: Socket Activitystress-ng: Context Switchingstress-ng: Glibc C String Functionsstress-ng: Glibc Qsort Data Sortingstress-ng: System V Message Passingencode-flac: WAV To FLACbrl-cad: VGR Performance Metricstargate: 44100 - 512stargate: 96000 - 512stargate: 192000 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 96000 - 1024stargate: 192000 - 1024stargate: 480000 - 1024astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivejpegxl-decode: 1jpegxl-decode: Alljpegxl: PNG - 80jpegxl: PNG - 90jpegxl: JPEG - 80jpegxl: JPEG - 90jpegxl: PNG - 100jpegxl: JPEG - 100webp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionxmrig: Monero - 1Mxmrig: Wownero - 1Mminibude: OpenMP - BM1minibude: OpenMP - BM1minibude: OpenMP - BM2minibude: OpenMP - BM2nekrs: TurboPipe Periodicopenradioss: Bumper Beamopenradioss: Cell Phone Drop Testopenradioss: Bird Strike on Windshieldopenradioss: Rubber O-Ring Seal Installationopenradioss: INIVOL and Fluid Structure Interaction Drop Containertensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 64 - AlexNettensorflow: CPU - 256 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50tensorflow: CPU - 64 - GoogLeNettensorflow: CPU - 64 - ResNet-50tensorflow: CPU - 256 - GoogLeNettensorflow: CPU - 256 - ResNet-50numenta-nab: Relative Entropynumenta-nab: Windowed Gaussiany-cruncher: 500Mnumenta-nab: KNN CADnumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0y-cruncher: 1Bnumenta-nab: Contextual Anomaly Detector OSEmnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Detection,YOLOv5s COCO - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Streamspacy: en_core_web_lgspacy: en_core_web_trfncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetlammps: 20k Atomslammps: Rhodopsin Proteinonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timeopenfoam: drivaerFastback, Medium Mesh Size - Mesh Timeopenfoam: drivaerFastback, Medium Mesh Size - Execution Timeaircrack-ng: primesieve: 1e12primesieve: 1e13compress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-php: Time To Compilecpuminer-opt: Magicpuminer-opt: x25xcpuminer-opt: scryptcpuminer-opt: Deepcoincpuminer-opt: Ringcoincpuminer-opt: Blake-2 Scpuminer-opt: Garlicoincpuminer-opt: Skeincoincpuminer-opt: Myriad-Groestlcpuminer-opt: LBC, LBRY Creditscpuminer-opt: Quad SHA-256, Pyritecpuminer-opt: Triple SHA-256, Onecoinbuild-linux-kernel: defconfigbuild-linux-kernel: allmodconfigaom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Kgraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spacesvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pblender: BMW27 - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: Barbershop - CPU-Onlyblender: Pabellon Barcelona - CPU-Onlyavifenc: 0avifenc: 2avifenc: 6avifenc: 6, Losslessavifenc: 10, Losslessbuild-godot: Time To Compilenatron: Spaceshipospray-studio: 1 - 4K - 1 - Path Tracerospray-studio: 2 - 4K - 1 - Path Tracerospray-studio: 3 - 4K - 1 - Path Tracerospray-studio: 1 - 4K - 16 - Path Tracerospray-studio: 1 - 4K - 32 - Path Tracerospray-studio: 2 - 4K - 16 - Path Tracerospray-studio: 2 - 4K - 32 - Path Tracerospray-studio: 3 - 4K - 16 - Path Tracerospray-studio: 3 - 4K - 32 - Path Tracerospray-studio: 1 - 1080p - 1 - Path Tracerospray-studio: 2 - 1080p - 1 - Path Tracerospray-studio: 3 - 1080p - 1 - Path Tracerospray-studio: 1 - 1080p - 16 - Path Tracerospray-studio: 1 - 1080p - 32 - Path Tracerospray-studio: 2 - 1080p - 16 - Path Tracerospray-studio: 2 - 1080p - 32 - Path Tracerospray-studio: 3 - 1080p - 16 - Path Tracerospray-studio: 3 - 1080p - 32 - Path Tracerbuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedbuild-erlang: Time To Compilebuild-nodejs: Time To Compileblosc: blosclz shuffleblosc: blosclz bitshufflesrsran: OFDM_Testsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 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-QAMclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, Third Rundragonflydb: 50 - 1:1dragonflydb: 50 - 1:5dragonflydb: 50 - 5:1dragonflydb: 200 - 1:1dragonflydb: 200 - 1:5dragonflydb: 200 - 5:1rocksdb: Rand Fillrocksdb: Rand Readrocksdb: Update Randrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingrocksdb: Read Rand Write Randpgbench: 100 - 100 - Read Onlyencodec: 1.5 kbpsencodec: 6 kbpsencodec: 24 kbpsencodec: 3 kbpspgbench: 100 - 100 - Read Only - Average Latencypgbench: 100 - 250 - Read Onlypgbench: 100 - 250 - Read Only - Average Latencypgbench: 100 - 500 - Read Onlypgbench: 100 - 500 - Read Only - Average Latencypgbench: 100 - 100 - Read Writepgbench: 100 - 100 - Read Write - Average Latencypgbench: 100 - 250 - Read Writepgbench: 100 - 250 - Read Write - Average Latencypgbench: 100 - 500 - Read Writepgbench: 100 - 500 - Read Write - Average LatencyLinux 5.10.130Linux 5.15.83Linux 6.1154390.20358.051498828.701008.628606774.99223731.7018742.6722392194.2856719.5136489.15241610.68116.3334273.523214994.8355915.3655351.58252390.564201.0210160.915500706.76911917.94194.366490812.3521.1101677713.9095522.5378911.5362554.3858933.7269332.9996111.8892684.199568193.131572.15959.32250.937138.17208.797.707.587.457.300.540.5314.379.001.273.070.486794.59492.2530.26621.211534.73821.38970649766667152.4196.21256.43159.75443.72166.55211.25243.30278.63114.4137.68121.7240.23125.7941.90130.2143.5015.8039.07011.345185.330114.81341.39214.9102.0912.59210.1484.89224.44955.7343.8552.67822.73310.5210758.02779.5996104.162255.4233144.241043.761222.839686.656792.214275.261613.2689219.356936.4390132.64857.5265108.547573.675973.603913.577155.5433144.006238.443826.001110.5403752.83199.6153103.996011314244614.545.564.955.664.917.062.3811.5726.958.095.4614.2023.6017.1318.83160.277.0210.42710.6592.296363.101440.4966131.252714.291534.706993.306064.158690.5406540.8514551613.12909.6321621.84911.8160.9563990.3132385.881357.373.312400.023.252436.30272.0929.3719.11417.71969.338.24625.5025.5364.82123.341991.758.02485.3616.4715259.861.0431167.810.5038.53511188.28208241.485511598.699150605.55914.443174.7221063578643265.325374.94640.06491.90144972833.0911491036572.81135103173639682021883031591370.169907.74811.7037.8848.0548.3450275719931513333359762.47534.519126.497120.7947.04695.493415.136423.649106.13318.28144.251145.90373.74145.01270.5176.68911.3766.63797.2463.670557242863312146723421612442823993514658328469917781826217828409652712917266823347867801619.449383.51491.560453.61315238.110158.9122000000279.8117.3279.8123.3303.4126.9307.0131.098.665.9205.76212.60212.42978963.311047699.23989148.97971725.251021149.38918617.379831996509423962569512042552164643100899213260846542228.20829.49534.16229.1410.2154139490.6043702381.350536561.864476765.2443850312.986179381.23335.582364278.75879.679013626.15225144.3318733.1020930090.9660087.3632758.89285766.99128.3134238.773314461.3855890.2355415.01252393.884129.3417786.172284154.16916397.13194.888257907.0621.0981668523.9725912.5790451.5670494.4310983.7903213.0635111.9896804.270897193.024472.12199.32670.937537.90209.187.717.547.407.250.540.5314.409.021.283.090.486829.89531.3529.24021.170532.92421.31770923633333151.8296.31256.19159.15445.17166.90211.47242.73279.05115.1538.09122.1840.41126.2942.05130.4043.4115.8139.01811.366182.657115.52941.43314.8802.0712.5379.8504.89724.56255.6593.7522.63922.43810.4539759.35259.6141104.005455.5849143.806542.901323.313986.940291.986075.040113.3089219.008836.4973134.13267.4408108.337773.821672.055213.867954.4332146.950537.760226.477410.4339760.83749.6111104.037611236241614.715.534.955.594.856.992.2911.4627.698.055.4814.2123.8916.8518.67161.236.9110.41410.6392.293853.085610.4972481.251744.311784.708343.296334.203430.5404520.8465431611.14912.0661614.87908.1880.9616820.3160055.881356.353.302401.743.252441.67272.8029.2919.15416.95957.088.34623.3625.6264.28124.341993.588.01485.1916.4615258.561.0331007.380.538.235781186.39843242.254871611.594350607.73814.429174.6581080588673565.143373.55641.61489.83145002812.3411505836594.18134833176109666321849331391770.488911.08311.7737.8647.6648.3349973119931413213319572.48334.818127.534122.9786.98595.043418.022425.263106.38317.07144.341144.82373.54144.70971.0656.74911.4256.66697.5683.670467246862812148623414212455624031114657028485317781826217628417652422920666817348017799719.493383.96291.754453.30715998.610555.7122633333282.7118.3282.0123.9310.0128.0307.9131.698.666.0204.26209.58215.021123953.551186278.251068662.911060251.051117321.90993337.909828486523364961662611938372349693043279212935951527328.34929.53033.91728.6600.1944751750.5264264281.173562301.779459225.4443382414.783200310.22256.612433807.14667.827375258.06225639.3218727.6115989079.7753632.6732918.80284966.04115.5934059.433315660.8855875.1855344.32252372.294181.8016990.752054658.64916843.52194.3014896082.7921.3761683343.8172682.4971641.5200404.3113823.7188123.0125851.9288144.208880192.991772.09729.31030.936836.37181.547.367.207.086.940.530.5214.388.951.273.080.486767.39527.7535.56521.422538.79021.55270481500000153.2396.30255.89160.27446.66166.31211.06242.34279.22116.1638.01123.1940.32126.4942.06130.4743.3715.5259.07311.294180.519115.83141.93615.1222.0832.6069.9324.96924.45555.8153.8312.64022.78910.4097764.74259.5393104.834855.4366144.211443.320223.071886.883292.046275.263513.2691218.693636.5392132.50777.5359108.744373.545671.885213.901354.2726147.380437.211526.865610.3832763.30649.6532103.582311231234114.455.574.955.634.897.042.3611.4826.527.855.4613.8323.3516.7618.70160.396.9610.39910.6082.297083.094330.4967761.248714.286184.980673.312444.180960.5414300.8318661614.07909.1471618.86913.9430.9634000.3139755.891357.103.282415.313.232451.10267.6229.8619.17416.16957.418.33620.6125.7363.96124.971992.238.02491.2416.2715144.321.0430632.460.5138.361993186.93467242.923071607.401250609.27614.424174.9771069688668065.964373.45638.64491.85144202800.6211375506571.66134320174779601021723731572372.558934.26511.6536.1045.4145.9749166819731112993228722.46034.723126.763121.5967.02495.151409.127419.750106.46318.71144.291145.18374.17145.03671.2016.79811.5806.90999.4203.670487245863312300023437112634124043014669228423517791824217328479658942916567837347797980419.777385.593.739459.75315256.110161.3120733333280.2117.1280.3123.3307.4127.2305.5130.398.365.9198.51204.43212.921130454.031180450.091074996.431046604.151099078.40979549.439352856533717559448511349912184542985392213352852378830.49332.01736.32130.4260.1914874680.5134671671.070543651.839452235.5283610913.847OpenBenchmarking.org

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 5.10.130Linux 5.15.83Linux 6.14080120160200SE +/- 0.67, N = 3154179200

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: MMAPLinux 5.10.130Linux 5.15.83Linux 6.180160240320400SE +/- 0.74, N = 3SE +/- 0.56, N = 3SE +/- 2.76, N = 3390.20381.23310.221. (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: NUMALinux 5.10.130Linux 5.15.83Linux 6.180160240320400SE +/- 2.82, N = 3SE +/- 0.90, N = 3SE +/- 1.78, N = 3358.05335.58256.611. (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: MEMFDLinux 5.10.130Linux 5.15.83Linux 6.12004006008001000SE +/- 0.88, N = 3SE +/- 0.39, N = 3SE +/- 0.28, N = 31008.62879.67667.821. (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 5.10.130Linux 5.15.83Linux 6.12M4M6M8M10MSE +/- 10182.54, N = 3SE +/- 112044.15, N = 15SE +/- 24065.62, N = 38606774.999013626.157375258.061. (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: CryptoLinux 5.10.130Linux 5.15.83Linux 6.14K8K12K16K20KSE +/- 47.41, N = 3SE +/- 83.58, N = 3SE +/- 66.53, N = 318742.6718733.1018727.611. (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 5.10.130Linux 5.15.83Linux 6.15M10M15M20M25MSE +/- 90978.10, N = 3SE +/- 130302.14, N = 3SE +/- 91731.80, N = 322392194.2820930090.9615989079.771. (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 5.10.130Linux 5.15.83Linux 6.113K26K39K52K65KSE +/- 175.99, N = 3SE +/- 184.20, N = 3SE +/- 386.64, N = 356719.5160087.3653632.671. (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: IO_uringLinux 5.10.130Linux 5.15.83Linux 6.18K16K24K32K40KSE +/- 401.23, N = 3SE +/- 501.84, N = 3SE +/- 240.39, N = 336489.1532758.8932918.801. (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 5.15.83Linux 6.160K120K180K240K300KSE +/- 2449.06, N = 3SE +/- 2143.98, N = 3SE +/- 1947.11, N = 3241610.68285766.99284966.041. (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 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 2.89, N = 15SE +/- 6.07, N = 12SE +/- 2.00, N = 15116.33128.31115.591. (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 5.10.130Linux 5.15.83Linux 6.17K14K21K28K35KSE +/- 248.24, N = 14SE +/- 3.47, N = 3SE +/- 27.28, N = 334273.5234238.7734059.431. (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: Matrix MathLinux 5.10.130Linux 5.15.83Linux 6.112K24K36K48K60KSE +/- 476.25, N = 3SE +/- 503.37, N = 3SE +/- 647.24, N = 355915.3655890.2355875.181. (CC) gcc options: -O2 -std=gnu99 -lm -fuse-ld=gold -laio -lapparmor -latomic -lbsd -lc -lcrypt -ldl -lEGL -lGLESv2 -ljpeg -lrt -lsctp -lz -pthread

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.14.06Test: Vector MathLinux 5.10.130Linux 5.15.83Linux 6.112K24K36K48K60KSE +/- 337.57, N = 3SE +/- 330.15, N = 3SE +/- 321.30, N = 355351.5855415.0155344.321. (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: x86_64 RdRandLinux 5.10.130Linux 5.15.83Linux 6.150K100K150K200K250KSE +/- 0.71, N = 3SE +/- 1.57, N = 3SE +/- 12.63, N = 3252390.56252393.88252372.291. (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 5.10.130Linux 5.15.83Linux 6.19001800270036004500SE +/- 31.35, N = 3SE +/- 42.48, N = 3SE +/- 29.72, N = 34201.024129.344181.801. (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 5.15.83Linux 6.14K8K12K16K20KSE +/- 302.66, N = 15SE +/- 80.02, N = 3SE +/- 112.51, N = 310160.9117786.1716990.751. (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 5.10.130Linux 5.15.83Linux 6.11.2M2.4M3.6M4.8M6MSE +/- 72191.04, N = 3SE +/- 7040.94, N = 3SE +/- 3492.53, N = 35500706.762284154.162054658.641. (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 6.1200K400K600K800K1000KSE +/- 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 Qsort Data SortingLinux 5.10.130Linux 5.15.83Linux 6.14080120160200SE +/- 1.58, N = 3SE +/- 1.18, N = 3SE +/- 1.25, N = 3194.36194.88194.301. (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

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 5.10.130Linux 5.15.83Linux 6.1510152025SE +/- 0.03, N = 5SE +/- 0.02, N = 5SE +/- 0.04, N = 521.1121.1021.381. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

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 5.10.130Linux 5.15.83Linux 6.140K80K120K160K200K1677711668521683341. (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

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 5.10.130Linux 5.15.83Linux 6.10.89381.78762.68143.57524.469SE +/- 0.028488, N = 3SE +/- 0.017996, N = 3SE +/- 0.063340, N = 33.9095523.9725913.8172681. (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 5.10.130Linux 5.15.83Linux 6.10.58031.16061.74092.32122.9015SE +/- 0.035214, N = 3SE +/- 0.013088, N = 3SE +/- 0.031971, N = 32.5378912.5790452.4971641. (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 5.10.130Linux 5.15.83Linux 6.10.35260.70521.05781.41041.763SE +/- 0.008212, N = 3SE +/- 0.017482, N = 3SE +/- 0.006196, N = 31.5362551.5670491.5200401. (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 5.10.130Linux 5.15.83Linux 6.10.9971.9942.9913.9884.985SE +/- 0.002245, N = 3SE +/- 0.011431, N = 3SE +/- 0.047576, N = 34.3858934.4310984.3113821. (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 5.10.130Linux 5.15.83Linux 6.10.85281.70562.55843.41124.264SE +/- 0.019070, N = 3SE +/- 0.052597, N = 3SE +/- 0.044488, N = 33.7269333.7903213.7188121. (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 5.15.83Linux 6.10.68931.37862.06792.75723.4465SE +/- 0.016716, N = 3SE +/- 0.004654, N = 3SE +/- 0.021684, N = 32.9996113.0635113.0125851. (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 5.15.83Linux 6.10.44770.89541.34311.79082.2385SE +/- 0.016352, N = 3SE +/- 0.011134, N = 3SE +/- 0.012895, N = 31.8892681.9896801.9288141. (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 5.15.83Linux 6.10.9611.9222.8833.8444.805SE +/- 0.030220, N = 3SE +/- 0.015411, N = 3SE +/- 0.017869, N = 34.1995684.2708974.2088801. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 5.10.130Linux 5.15.83Linux 6.14080120160200SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 3193.13193.02192.991. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumLinux 5.10.130Linux 5.15.83Linux 6.11632486480SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 372.1672.1272.101. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.0023, N = 3SE +/- 0.0055, N = 3SE +/- 0.0088, N = 39.32259.32679.31031. (CXX) g++ options: -O3 -flto -pthread

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveLinux 5.10.130Linux 5.15.83Linux 6.10.21090.42180.63270.84361.0545SE +/- 0.0001, N = 3SE +/- 0.0001, N = 3SE +/- 0.0006, N = 30.93710.93750.93681. (CXX) g++ options: -O3 -flto -pthread

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 5.10.130Linux 5.15.83Linux 6.1918273645SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 338.1737.9036.37

OpenBenchmarking.orgMP/s, More Is BetterJPEG XL Decoding libjxl 0.7CPU Threads: AllLinux 5.10.130Linux 5.15.83Linux 6.150100150200250SE +/- 1.38, N = 3SE +/- 0.37, N = 3SE +/- 2.09, N = 3208.79209.18181.54

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 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.707.717.361. (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 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 37.587.547.201. (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 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 37.457.407.081. (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 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.307.256.941. (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 5.10.130Linux 5.15.83Linux 6.10.12150.2430.36450.4860.6075SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.540.540.531. (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 5.10.130Linux 5.15.83Linux 6.10.11930.23860.35790.47720.5965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.530.530.521. (CXX) g++ options: -fno-rtti -funwind-tables -O3 -O2 -fPIE -pie -lm -pthread -latomic

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 5.15.83Linux 6.148121620SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 314.3714.4014.381. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100Linux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 39.009.028.951. (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 5.15.83Linux 6.10.2880.5760.8641.1521.44SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.271.281.271. (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 5.15.83Linux 6.10.69531.39062.08592.78123.4765SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.073.093.081. (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 6.10.1080.2160.3240.4320.54SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.480.480.481. (CC) gcc options: -fvisibility=hidden -O2 -lm -pthread

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 5.10.130Linux 5.15.83Linux 6.115003000450060007500SE +/- 3.14, N = 3SE +/- 23.74, N = 3SE +/- 54.19, N = 36794.56829.86767.31. (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 5.15.83Linux 6.12K4K6K8K10KSE +/- 67.20, N = 3SE +/- 34.41, N = 3SE +/- 49.24, N = 39492.29531.39527.71. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

miniBUDE

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

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Linux 5.10.130Linux 5.15.83Linux 6.1120240360480600SE +/- 0.13, N = 3SE +/- 0.39, N = 3SE +/- 0.30, N = 3530.27529.24535.571. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM1Linux 5.10.130Linux 5.15.83Linux 6.1510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 321.2121.1721.421. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgGFInst/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Linux 5.10.130Linux 5.15.83Linux 6.1120240360480600SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 3534.74532.92538.791. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -lm

OpenBenchmarking.orgBillion Interactions/s, More Is BetterminiBUDE 20210901Implementation: OpenMP - Input Deck: BM2Linux 5.10.130Linux 5.15.83Linux 6.1510152025SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 321.3921.3221.551. (CC) gcc options: -std=c99 -Ofast -ffast-math -fopenmp -march=native -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 5.10.130Linux 5.15.83Linux 6.115000M30000M45000M60000M75000MSE +/- 144216808.24, N = 3SE +/- 219477639.96, N = 3SE +/- 48731133.10, N = 37064976666770923633333704815000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -pthread -lmpi_cxx -lmpi

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 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 0.18, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 3152.41151.82153.23

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: Cell Phone Drop TestLinux 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.20, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 396.2196.3196.30

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: Rubber O-Ring Seal InstallationLinux 5.10.130Linux 5.15.83Linux 6.14080120160200SE +/- 0.08, N = 3SE +/- 0.22, N = 3SE +/- 0.29, N = 3159.75159.15160.27

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2022.10.13Model: INIVOL and Fluid Structure Interaction Drop ContainerLinux 5.10.130Linux 5.15.83Linux 6.1100200300400500SE +/- 0.39, N = 3SE +/- 0.43, N = 3SE +/- 0.46, N = 3443.72445.17446.66

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 5.10.130Linux 5.15.83Linux 6.14080120160200SE +/- 0.44, N = 3SE +/- 0.13, N = 3SE +/- 0.22, N = 3166.55166.90166.31

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetLinux 5.10.130Linux 5.15.83Linux 6.150100150200250SE +/- 0.47, N = 3SE +/- 0.13, N = 3SE +/- 0.28, N = 3211.25211.47211.06

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 64 - Model: AlexNetLinux 5.10.130Linux 5.15.83Linux 6.150100150200250SE +/- 0.06, N = 3SE +/- 0.39, N = 3SE +/- 0.27, N = 3243.30242.73242.34

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: 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: ResNet-50Linux 5.10.130Linux 5.15.83Linux 6.1918273645SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 337.6838.0938.01

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: ResNet-50Linux 5.10.130Linux 5.15.83Linux 6.1918273645SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 340.2340.4140.32

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: 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: 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: ResNet-50Linux 5.10.130Linux 5.15.83Linux 6.11020304050SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 343.5043.4143.37

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 5.10.130Linux 5.15.83Linux 6.148121620SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 315.8015.8115.53

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.038, N = 3SE +/- 0.045, N = 3SE +/- 0.037, N = 39.0709.0189.073

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 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.3511.3711.29

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: Earthgecko SkylineLinux 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 0.46, N = 3SE +/- 0.35, N = 3SE +/- 0.67, N = 3114.81115.53115.83

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointLinux 5.10.130Linux 5.15.83Linux 6.11020304050SE +/- 0.18, N = 3SE +/- 0.21, N = 3SE +/- 0.20, N = 341.3941.4341.94

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: nasnetLinux 5.10.130Linux 5.15.83Linux 6.148121620SE +/- 0.12, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 914.9114.8815.12MIN: 14.46 / MAX: 28.47MIN: 14.51 / MAX: 33.86MIN: 14.55 / MAX: 29.561. (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 5.15.83Linux 6.10.47050.9411.41151.8822.3525SE +/- 0.010, N = 3SE +/- 0.009, N = 3SE +/- 0.009, N = 92.0912.0712.083MIN: 1.99 / MAX: 3.26MIN: 1.99 / MAX: 4.73MIN: 1.98 / MAX: 6.071. (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 5.10.130Linux 5.15.83Linux 6.10.58641.17281.75922.34562.932SE +/- 0.020, N = 3SE +/- 0.015, N = 3SE +/- 0.012, N = 92.5922.5372.606MIN: 2.48 / MAX: 5.22MIN: 2.47 / MAX: 4.14MIN: 2.49 / MAX: 16.461. (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 5.15.83Linux 6.13691215SE +/- 0.099, N = 3SE +/- 0.025, N = 3SE +/- 0.037, N = 910.1489.8509.932MIN: 9.88 / MAX: 23.7MIN: 9.74 / MAX: 31.53MIN: 9.74 / MAX: 23.921. (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 5.10.130Linux 5.15.83Linux 6.11.1182.2363.3544.4725.59SE +/- 0.043, N = 3SE +/- 0.009, N = 3SE +/- 0.019, N = 94.8924.8974.969MIN: 4.79 / MAX: 17.74MIN: 4.84 / MAX: 18.25MIN: 4.87 / MAX: 7.191. (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

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 5.10.130Linux 5.15.83Linux 6.1612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 324.4524.5624.46

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 5.10.130Linux 5.15.83Linux 6.11326395265SE +/- 0.29, N = 3SE +/- 0.25, N = 3SE +/- 0.15, N = 355.7355.6655.82

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: MobileNetV2_224Linux 5.10.130Linux 5.15.83Linux 6.10.86741.73482.60223.46964.337SE +/- 0.007, N = 3SE +/- 0.020, N = 3SE +/- 0.020, N = 93.8553.7523.831MIN: 3.65 / MAX: 16.53MIN: 3.56 / MAX: 17.6MIN: 3.59 / MAX: 5.871. (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 5.15.83Linux 6.10.60261.20521.80782.41043.013SE +/- 0.044, N = 3SE +/- 0.047, N = 3SE +/- 0.028, N = 92.6782.6392.640MIN: 2.4 / MAX: 5.22MIN: 2.38 / MAX: 3.73MIN: 2.36 / MAX: 16.91. (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 5.10.130Linux 5.15.83Linux 6.1510152025SE +/- 0.36, N = 3SE +/- 0.38, N = 3SE +/- 0.32, N = 922.7322.4422.79MIN: 22.05 / MAX: 36.04MIN: 21.58 / MAX: 36.88MIN: 21.59 / MAX: 102.891. (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

Neural Magic DeepSparse

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 310.5210.4510.41

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.1160320480640800SE +/- 1.03, N = 3SE +/- 2.20, N = 3SE +/- 4.45, N = 3758.03759.35764.74

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.0301, N = 3SE +/- 0.0357, N = 3SE +/- 0.0848, N = 39.59969.61419.5393

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.33, N = 3SE +/- 0.39, N = 3SE +/- 0.93, N = 3104.16104.01104.83

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 5.15.83Linux 6.11224364860SE +/- 0.15, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 355.4255.5855.44

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 5.15.83Linux 6.1306090120150SE +/- 0.43, N = 3SE +/- 0.31, N = 3SE +/- 0.38, N = 3144.24143.81144.21

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.11020304050SE +/- 0.26, N = 3SE +/- 0.47, N = 7SE +/- 0.21, N = 343.7642.9043.32

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.1612182430SE +/- 0.14, N = 3SE +/- 0.27, N = 7SE +/- 0.11, N = 322.8423.3123.07

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 386.6686.9486.88

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.04, N = 392.2191.9992.05

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.01, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 375.2675.0475.26

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Detection,YOLOv5s COCO - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 313.2713.3113.27

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.150100150200250SE +/- 0.10, N = 3SE +/- 0.45, N = 3SE +/- 0.45, N = 3219.36219.01218.69

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.1816243240SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.08, N = 336.4436.5036.54

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 1.67, N = 3SE +/- 0.54, N = 3SE +/- 2.16, N = 3132.65134.13132.51

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.0949, N = 3SE +/- 0.0304, N = 3SE +/- 0.1212, N = 37.52657.44087.5359

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.05, N = 3SE +/- 0.53, N = 3SE +/- 0.47, N = 3108.55108.34108.74

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.11632486480SE +/- 0.04, N = 3SE +/- 0.36, N = 3SE +/- 0.32, N = 373.6873.8273.55

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.11632486480SE +/- 0.65, N = 3SE +/- 0.33, N = 3SE +/- 0.51, N = 373.6072.0671.89

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.148121620SE +/- 0.12, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 313.5813.8713.90

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.11224364860SE +/- 0.12, N = 3SE +/- 0.27, N = 3SE +/- 0.16, N = 355.5454.4354.27

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 0.30, N = 3SE +/- 0.74, N = 3SE +/- 0.43, N = 3144.01146.95147.38

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.1918273645SE +/- 0.15, N = 3SE +/- 0.41, N = 3SE +/- 0.31, N = 338.4437.7637.21

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.1612182430SE +/- 0.10, N = 3SE +/- 0.29, N = 3SE +/- 0.23, N = 326.0026.4826.87

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 310.5410.4310.38

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamLinux 5.10.130Linux 5.15.83Linux 6.1160320480640800SE +/- 2.25, N = 3SE +/- 1.90, N = 3SE +/- 2.74, N = 3752.83760.84763.31

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.0549, N = 3SE +/- 0.0282, N = 3SE +/- 0.0209, N = 39.61539.61119.6532

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.1Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-StreamLinux 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.59, N = 3SE +/- 0.31, N = 3SE +/- 0.22, N = 3104.00104.04103.58

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_lgLinux 5.10.130Linux 5.15.83Linux 6.12K4K6K8K10KSE +/- 15.62, N = 3SE +/- 10.74, N = 3SE +/- 18.76, N = 3113141123611231

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfLinux 5.10.130Linux 5.15.83Linux 6.15001000150020002500SE +/- 9.87, N = 3SE +/- 6.33, N = 3SE +/- 7.51, N = 3244624162341

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: mobilenetLinux 5.10.130Linux 5.15.83Linux 6.148121620SE +/- 0.03, N = 3SE +/- 0.18, N = 6SE +/- 0.01, N = 314.5414.7114.45MIN: 14.37 / MAX: 17.06MIN: 14.26 / MAX: 15.75MIN: 14.31 / MAX: 15.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.10.130Linux 5.15.83Linux 6.11.25332.50663.75995.01326.2665SE +/- 0.01, N = 3SE +/- 0.01, N = 6SE +/- 0.01, N = 35.565.535.57MIN: 5.44 / MAX: 6.03MIN: 5.41 / MAX: 10.99MIN: 5.49 / MAX: 6.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.10.130Linux 5.15.83Linux 6.11.11382.22763.34144.45525.569SE +/- 0.01, N = 3SE +/- 0.04, N = 6SE +/- 0.01, N = 34.954.954.95MIN: 4.85 / MAX: 5.91MIN: 4.8 / MAX: 63.45MIN: 4.86 / MAX: 5.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2Linux 5.10.130Linux 5.15.83Linux 6.11.27352.5473.82055.0946.3675SE +/- 0.02, N = 3SE +/- 0.01, N = 6SE +/- 0.01, N = 35.665.595.63MIN: 5.54 / MAX: 17.07MIN: 5.48 / MAX: 6.6MIN: 5.53 / MAX: 6.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetLinux 5.10.130Linux 5.15.83Linux 6.11.10482.20963.31444.41925.524SE +/- 0.03, N = 3SE +/- 0.00, N = 6SE +/- 0.01, N = 34.914.854.89MIN: 4.74 / MAX: 16.51MIN: 4.72 / MAX: 7.62MIN: 4.81 / MAX: 5.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0Linux 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.02, N = 3SE +/- 0.01, N = 6SE +/- 0.01, N = 37.066.997.04MIN: 6.92 / MAX: 7.42MIN: 6.89 / MAX: 8.15MIN: 6.92 / MAX: 7.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceLinux 5.10.130Linux 5.15.83Linux 6.10.53551.0711.60652.1422.6775SE +/- 0.01, N = 3SE +/- 0.00, N = 6SE +/- 0.01, N = 32.382.292.36MIN: 2.2 / MAX: 2.75MIN: 2.23 / MAX: 3.1MIN: 2.3 / MAX: 2.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.05, N = 3SE +/- 0.02, N = 6SE +/- 0.02, N = 311.5711.4611.48MIN: 11.39 / MAX: 11.86MIN: 11.27 / MAX: 12.43MIN: 11.33 / MAX: 12.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16Linux 5.10.130Linux 5.15.83Linux 6.1714212835SE +/- 0.13, N = 3SE +/- 1.00, N = 6SE +/- 0.10, N = 326.9527.6926.52MIN: 26.65 / MAX: 27.51MIN: 26.21 / MAX: 33.47MIN: 26.22 / MAX: 27.611. (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: alexnetLinux 5.10.130Linux 5.15.83Linux 6.11.2332.4663.6994.9326.165SE +/- 0.01, N = 3SE +/- 0.08, N = 6SE +/- 0.01, N = 35.465.485.46MIN: 5.35 / MAX: 5.85MIN: 5.3 / MAX: 6.07MIN: 5.35 / MAX: 9.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50Linux 5.10.130Linux 5.15.83Linux 6.148121620SE +/- 0.05, N = 3SE +/- 0.34, N = 6SE +/- 0.13, N = 314.2014.2113.83MIN: 13.99 / MAX: 15.03MIN: 13.45 / MAX: 157.72MIN: 13.51 / MAX: 26.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyLinux 5.10.130Linux 5.15.83Linux 6.1612182430SE +/- 0.07, N = 3SE +/- 0.39, N = 6SE +/- 0.09, N = 323.6023.8923.35MIN: 23.16 / MAX: 27.3MIN: 22.91 / MAX: 31.78MIN: 23.01 / MAX: 26.251. (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: regnety_400mLinux 5.10.130Linux 5.15.83Linux 6.1510152025SE +/- 0.15, N = 3SE +/- 0.02, N = 6SE +/- 0.03, N = 318.8318.6718.70MIN: 18.43 / MAX: 58.94MIN: 18.39 / MAX: 21.55MIN: 18.43 / MAX: 19.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerLinux 5.10.130Linux 5.15.83Linux 6.14080120160200SE +/- 0.96, N = 3SE +/- 0.40, N = 6SE +/- 0.61, N = 3160.27161.23160.39MIN: 158.5 / MAX: 166.42MIN: 158.43 / MAX: 179.56MIN: 158.59 / MAX: 172.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -pthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetLinux 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.03, N = 3SE +/- 0.02, N = 6SE +/- 0.02, N = 37.026.916.96MIN: 6.87 / MAX: 7.89MIN: 6.78 / MAX: 7.67MIN: 6.86 / MAX: 7.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread -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: 20k AtomsLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 310.4310.4110.401. (CXX) g++ options: -O3 -pthread -lm -ldl

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 23Jun2022Model: Rhodopsin ProteinLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.6610.6410.611. (CXX) g++ options: -O3 -pthread -lm -ldl

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.10.51681.03361.55042.06722.584SE +/- 0.00305, N = 3SE +/- 0.00109, N = 3SE +/- 0.00145, N = 32.296362.293852.29708MIN: 2.22MIN: 2.19MIN: 2.221. (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 5.15.83Linux 6.10.69781.39562.09342.79123.489SE +/- 0.00480, N = 3SE +/- 0.01196, N = 3SE +/- 0.00478, N = 33.101443.085613.09433MIN: 3.06MIN: 3.05MIN: 3.061. (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 5.10.130Linux 5.15.83Linux 6.10.11190.22380.33570.44760.5595SE +/- 0.000232, N = 3SE +/- 0.000206, N = 3SE +/- 0.000335, N = 30.4966130.4972480.496776MIN: 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 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: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.10.97021.94042.91063.88084.851SE +/- 0.00912, N = 3SE +/- 0.01348, N = 3SE +/- 0.00632, N = 34.291534.311784.28618MIN: 4.25MIN: 4.24MIN: 4.241. (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 5.10.130Linux 5.15.83Linux 6.11.12072.24143.36214.48285.6035SE +/- 0.01724, N = 3SE +/- 0.01367, N = 3SE +/- 0.02580, N = 34.706994.708344.98067MIN: 4.43MIN: 4.4MIN: 4.621. (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 5.10.130Linux 5.15.83Linux 6.10.74531.49062.23592.98123.7265SE +/- 0.00465, N = 3SE +/- 0.00438, N = 3SE +/- 0.00768, N = 33.306063.296333.31244MIN: 3.27MIN: 3.27MIN: 3.261. (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 5.10.130Linux 5.15.83Linux 6.10.94581.89162.83743.78324.729SE +/- 0.01257, N = 3SE +/- 0.00929, N = 3SE +/- 0.00677, N = 34.158694.203434.18096MIN: 4.09MIN: 4.13MIN: 4.131. (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 5.10.130Linux 5.15.83Linux 6.10.12180.24360.36540.48720.609SE +/- 0.000704, N = 3SE +/- 0.000263, N = 3SE +/- 0.000200, N = 30.5406540.5404520.541430MIN: 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_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: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.130060090012001500SE +/- 0.83, N = 3SE +/- 0.39, N = 3SE +/- 0.44, N = 31613.121611.141614.07MIN: 1608.28MIN: 1608.25MIN: 1609.861. (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 5.10.130Linux 5.15.83Linux 6.12004006008001000SE +/- 2.14, N = 3SE +/- 1.01, N = 3SE +/- 1.41, N = 3909.63912.07909.15MIN: 903.56MIN: 908.55MIN: 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 Training - Data Type: u8s8f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.130060090012001500SE +/- 2.14, N = 3SE +/- 3.87, N = 3SE +/- 1.70, N = 31621.841614.871618.86MIN: 1617.11MIN: 1607.67MIN: 1614.31. (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: u8s8f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.12004006008001000SE +/- 1.27, N = 3SE +/- 0.73, N = 3SE +/- 2.67, N = 3911.82908.19913.94MIN: 907.5MIN: 904.52MIN: 907.081. (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 5.10.130Linux 5.15.83Linux 6.10.21680.43360.65040.86721.084SE +/- 0.001517, N = 3SE +/- 0.003629, N = 3SE +/- 0.002932, N = 30.9563990.9616820.963400MIN: 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: u8s8f32 - Engine: CPULinux 5.10.130Linux 5.15.83Linux 6.10.07110.14220.21330.28440.3555SE +/- 0.000694, N = 3SE +/- 0.001833, N = 3SE +/- 0.000082, N = 30.3132380.3160050.313975MIN: 0.3MIN: 0.3MIN: 0.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: 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.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.130060090012001500SE +/- 7.68, N = 3SE +/- 8.21, N = 3SE +/- 5.43, N = 31357.371356.351357.10MIN: 1303.04 / MAX: 1429.1MIN: 1238.64 / MAX: 1424.43MIN: 1311.47 / MAX: 1435.451. (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 5.10.130Linux 5.15.83Linux 6.10.74481.48962.23442.97923.724SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 33.313.303.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.15001000150020002500SE +/- 6.79, N = 3SE +/- 6.63, N = 3SE +/- 4.48, N = 32400.022401.742415.31MIN: 1971.05 / MAX: 2519.43MIN: 2074.14 / MAX: 2532.54MIN: 2186.01 / MAX: 2533.331. (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: Person Detection FP32 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.10.73131.46262.19392.92523.6565SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.253.253.231. (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 5.10.130Linux 5.15.83Linux 6.15001000150020002500SE +/- 6.93, N = 3SE +/- 9.26, N = 3SE +/- 5.75, N = 32436.302441.672451.10MIN: 2086.23 / MAX: 2572.2MIN: 2123.66 / MAX: 2621.99MIN: 2080.43 / MAX: 2583.811. (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: Vehicle Detection FP16 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.160120180240300SE +/- 1.08, N = 3SE +/- 0.06, N = 3SE +/- 1.20, N = 3272.09272.80267.621. (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 5.10.130Linux 5.15.83Linux 6.1714212835SE +/- 0.12, N = 3SE +/- 0.01, N = 3SE +/- 0.14, N = 329.3729.2929.86MIN: 11.56 / MAX: 50.23MIN: 13.39 / MAX: 49.34MIN: 11.2 / MAX: 55.831. (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.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.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.12004006008001000SE +/- 5.71, N = 3SE +/- 1.74, N = 3SE +/- 0.69, N = 3969.33957.08957.411. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 38.248.348.33MIN: 4.42 / MAX: 23.84MIN: 4.49 / MAX: 23.48MIN: 4.48 / MAX: 25.961. (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 5.10.130Linux 5.15.83Linux 6.1140280420560700SE +/- 0.68, N = 3SE +/- 0.90, N = 3SE +/- 1.31, N = 3625.50623.36620.611. (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 5.10.130Linux 5.15.83Linux 6.1612182430SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.06, N = 325.5325.6225.73MIN: 13.67 / MAX: 47.14MIN: 14.62 / MAX: 46.69MIN: 14.41 / MAX: 47.881. (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 5.10.130Linux 5.15.83Linux 6.11428425670SE +/- 0.70, N = 3SE +/- 0.24, N = 3SE +/- 0.40, N = 364.8264.2863.961. (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 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 1.34, N = 3SE +/- 0.46, N = 3SE +/- 0.78, N = 3123.34124.34124.97MIN: 64 / MAX: 136.84MIN: 64.41 / MAX: 139.86MIN: 64.13 / MAX: 142.041. (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: Weld Porosity Detection FP16-INT8 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.1400800120016002000SE +/- 1.36, N = 3SE +/- 0.98, N = 3SE +/- 1.06, N = 31991.751993.581992.231. (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 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 38.028.018.02MIN: 4.07 / MAX: 22.04MIN: 5.89 / MAX: 26.32MIN: 6 / MAX: 25.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.1110220330440550SE +/- 4.00, N = 13SE +/- 4.62, N = 3SE +/- 4.29, N = 11485.36485.19491.241. (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 6.148121620SE +/- 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.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.13K6K9K12K15KSE +/- 110.56, N = 3SE +/- 108.60, N = 3SE +/- 96.54, N = 315259.8615258.5615144.321. (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: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.10.130Linux 5.15.83Linux 6.10.2340.4680.7020.9361.17SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.041.031.04MIN: 0.61 / MAX: 17.55MIN: 0.61 / MAX: 17.94MIN: 0.61 / MAX: 17.761. (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 5.10.130Linux 5.15.83Linux 6.17K14K21K28K35KSE +/- 85.59, N = 3SE +/- 38.88, N = 3SE +/- 16.23, N = 331167.8131007.3830632.461. (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 5.10.130Linux 5.15.83Linux 6.10.11480.22960.34440.45920.574SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.500.500.51MIN: 0.31 / MAX: 16.57MIN: 0.31 / MAX: 28.92MIN: 0.32 / MAX: 15.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -flto -shared

OpenFOAM

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeLinux 5.10.130Linux 5.15.83Linux 6.191827364538.5438.2438.361. (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 - Execution TimeLinux 5.10.130Linux 5.15.83Linux 6.14080120160200188.28186.40186.931. (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 5.10.130Linux 5.15.83Linux 6.150100150200250241.49242.25242.921. (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 - Execution TimeLinux 5.10.130Linux 5.15.83Linux 6.1300600900120015001598.701611.591607.401. (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

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

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: 1e13Linux 5.10.130Linux 5.15.83Linux 6.14080120160200SE +/- 0.36, N = 3SE +/- 0.38, N = 3SE +/- 0.47, N = 3174.72174.66174.981. (CXX) g++ options: -O3 -lpthread

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingLinux 5.10.130Linux 5.15.83Linux 6.120K40K60K80K100KSE +/- 95.64, N = 3SE +/- 364.72, N = 3SE +/- 526.57, N = 31063571080581069681. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingLinux 5.10.130Linux 5.15.83Linux 6.120K40K60K80K100KSE +/- 259.98, N = 3SE +/- 150.80, N = 3SE +/- 264.89, N = 38643286735866801. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 5.10.130Linux 5.15.83Linux 6.11530456075SE +/- 0.32, N = 3SE +/- 0.24, N = 3SE +/- 0.39, N = 365.3365.1465.96

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: MagiLinux 5.10.130Linux 5.15.83Linux 6.180160240320400SE +/- 4.81, N = 3SE +/- 4.11, N = 3SE +/- 4.81, N = 3374.94373.55373.451. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: x25xLinux 5.10.130Linux 5.15.83Linux 6.1140280420560700SE +/- 0.20, N = 3SE +/- 1.51, N = 3SE +/- 0.34, N = 3640.06641.61638.641. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: scryptLinux 5.10.130Linux 5.15.83Linux 6.1110220330440550SE +/- 3.92, N = 3SE +/- 5.31, N = 3SE +/- 2.46, N = 3491.90489.83491.851. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: DeepcoinLinux 5.10.130Linux 5.15.83Linux 6.13K6K9K12K15KSE +/- 46.67, N = 3SE +/- 50.00, N = 31449714500144201. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: RingcoinLinux 5.10.130Linux 5.15.83Linux 6.16001200180024003000SE +/- 27.91, N = 3SE +/- 0.80, N = 3SE +/- 1.62, N = 32833.092812.342800.621. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Blake-2 SLinux 5.10.130Linux 5.15.83Linux 6.1200K400K600K800K1000KSE +/- 6874.21, N = 3SE +/- 10686.26, N = 3SE +/- 3289.87, N = 31149103115058311375501. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: GarlicoinLinux 5.10.130Linux 5.15.83Linux 6.114002800420056007000SE +/- 2.21, N = 3SE +/- 11.67, N = 3SE +/- 2.16, N = 36572.816594.186571.661. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: SkeincoinLinux 5.10.130Linux 5.15.83Linux 6.130K60K90K120K150KSE +/- 169.54, N = 3SE +/- 3.33, N = 3SE +/- 283.78, N = 31351031348331343201. (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 5.15.83Linux 6.14K8K12K16K20KSE +/- 286.72, N = 3SE +/- 185.02, N = 3SE +/- 135.32, N = 31736317610174771. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: LBC, LBRY CreditsLinux 5.10.130Linux 5.15.83Linux 6.120K40K60K80K100KSE +/- 656.84, N = 3SE +/- 167.46, N = 3SE +/- 615.39, N = 39682096663960101. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Quad SHA-256, PyriteLinux 5.10.130Linux 5.15.83Linux 6.150K100K150K200K250KSE +/- 820.33, N = 3SE +/- 6.67, N = 3SE +/- 258.61, N = 32188302184932172371. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

OpenBenchmarking.orgkH/s, More Is BetterCpuminer-Opt 3.20.3Algorithm: Triple SHA-256, OnecoinLinux 5.10.130Linux 5.15.83Linux 6.170K140K210K280K350KSE +/- 2642.36, N = 3SE +/- 661.12, N = 3SE +/- 2222.66, N = 33159133139173157231. (CXX) g++ options: -O2 -lcurl -lz -lpthread -lssl -lcrypto -lgmp

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 5.10.130Linux 5.15.83Linux 6.11632486480SE +/- 0.25, N = 3SE +/- 0.24, N = 3SE +/- 0.28, N = 370.1770.4972.56

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigLinux 5.10.130Linux 5.15.83Linux 6.12004006008001000SE +/- 0.08, N = 3SE +/- 1.08, N = 3SE +/- 0.78, N = 3907.75911.08934.27

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 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 311.7011.7711.651. (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 5.10.130Linux 5.15.83Linux 6.1918273645SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 337.8837.8636.101. (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 5.10.130Linux 5.15.83Linux 6.11122334455SE +/- 0.06, N = 3SE +/- 0.14, N = 3SE +/- 0.11, N = 348.0547.6645.411. (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 5.10.130Linux 5.15.83Linux 6.11122334455SE +/- 0.10, N = 3SE +/- 0.20, N = 3SE +/- 0.14, N = 348.3448.3345.971. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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: SwirlLinux 5.10.130Linux 5.15.83Linux 6.1110220330440550SE +/- 2.40, N = 3SE +/- 1.53, N = 3SE +/- 1.53, N = 35024994911. (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 5.10.130Linux 5.15.83Linux 6.1160320480640800SE +/- 9.97, N = 5SE +/- 1.76, N = 3SE +/- 5.43, N = 157577316681. (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 5.10.130Linux 5.15.83Linux 6.14080120160200SE +/- 1.33, N = 3SE +/- 1.20, N = 3SE +/- 1.33, N = 31991991971. (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 5.10.130Linux 5.15.83Linux 6.170140210280350SE +/- 0.67, N = 3SE +/- 0.67, N = 3SE +/- 0.67, N = 33153143111. (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 5.10.130Linux 5.15.83Linux 6.130060090012001500SE +/- 7.42, N = 3SE +/- 2.73, N = 3SE +/- 2.91, N = 31333132112991. (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 5.10.130Linux 5.15.83Linux 6.170140210280350SE +/- 1.76, N = 33353313221. (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 5.10.130Linux 5.15.83Linux 6.12004006008001000SE +/- 1.53, N = 3SE +/- 1.67, N = 39769578721. (CC) gcc options: -fopenmp -O2 -pthread -ljbig -lwebp -lwebpmux -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

SVT-AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4KLinux 5.10.130Linux 5.15.83Linux 6.10.55871.11741.67612.23482.7935SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.005, N = 32.4752.4832.4601. (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 5.15.83Linux 6.1816243240SE +/- 0.07, N = 3SE +/- 0.15, N = 3SE +/- 0.20, N = 334.5234.8234.721. (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 5.15.83Linux 6.1306090120150SE +/- 0.46, N = 3SE +/- 0.62, N = 3SE +/- 0.29, N = 3126.50127.53126.761. (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 5.15.83Linux 6.1306090120150SE +/- 0.69, N = 3SE +/- 0.32, N = 3SE +/- 0.62, N = 3120.79122.98121.601. (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 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.057, N = 3SE +/- 0.016, N = 3SE +/- 0.044, N = 37.0466.9857.0241. (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 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.40, N = 3SE +/- 0.30, N = 3SE +/- 0.46, N = 395.4995.0495.151. (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 5.10.130Linux 5.15.83Linux 6.190180270360450SE +/- 0.88, N = 3SE +/- 0.85, N = 3SE +/- 2.62, N = 3415.14418.02409.131. (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 5.10.130Linux 5.15.83Linux 6.190180270360450SE +/- 0.82, N = 3SE +/- 1.29, N = 3SE +/- 1.64, N = 3423.65425.26419.751. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3106.13106.38106.46

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Classroom - Compute: CPU-OnlyLinux 5.10.130Linux 5.15.83Linux 6.170140210280350SE +/- 0.37, N = 3SE +/- 0.22, N = 3SE +/- 0.49, N = 3318.28317.07318.71

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Fishy Cat - Compute: CPU-OnlyLinux 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 0.12, N = 3SE +/- 0.30, N = 3SE +/- 0.09, N = 3144.25144.34144.29

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Barbershop - Compute: CPU-OnlyLinux 5.10.130Linux 5.15.83Linux 6.12004006008001000SE +/- 0.49, N = 3SE +/- 0.12, N = 3SE +/- 0.42, N = 31145.901144.821145.18

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: Pabellon Barcelona - Compute: CPU-OnlyLinux 5.10.130Linux 5.15.83Linux 6.180160240320400SE +/- 0.42, N = 3SE +/- 0.29, N = 3SE +/- 0.42, N = 3373.74373.54374.17

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 5.10.130Linux 5.15.83Linux 6.1306090120150SE +/- 0.40, N = 3SE +/- 0.50, N = 3SE +/- 0.17, N = 3145.01144.71145.041. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 2Linux 5.10.130Linux 5.15.83Linux 6.11632486480SE +/- 0.04, N = 3SE +/- 0.41, N = 3SE +/- 0.25, N = 370.5271.0771.201. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6Linux 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.059, N = 3SE +/- 0.054, N = 3SE +/- 0.036, N = 36.6896.7496.7981. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 6, LosslessLinux 5.10.130Linux 5.15.83Linux 6.13691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 311.3811.4311.581. (CXX) g++ options: -O3 -fPIC -lm

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.11Encoder Speed: 10, LosslessLinux 5.10.130Linux 5.15.83Linux 6.1246810SE +/- 0.021, N = 3SE +/- 0.017, N = 3SE +/- 0.029, N = 36.6376.6666.9091. (CXX) g++ options: -O3 -fPIC -lm

Timed Godot Game Engine Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 3.2.3Time To CompileLinux 5.10.130Linux 5.15.83Linux 6.120406080100SE +/- 0.21, N = 3SE +/- 0.35, N = 3SE +/- 0.17, N = 397.2597.5799.42

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

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 5.15.83Linux 6.115003000450060007500SE +/- 10.90, N = 3SE +/- 1.45, N = 37055704670481. (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 5.10.130Linux 5.15.83Linux 6.116003200480064008000SE +/- 2.33, N = 3SE +/- 3.79, N = 3SE +/- 2.52, N = 37242724672451. (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 5.10.130Linux 5.15.83Linux 6.12K4K6K8K10KSE +/- 5.51, N = 3SE +/- 9.45, N = 38633862886331. (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 5.10.130Linux 5.15.83Linux 6.130K60K90K120K150KSE +/- 26.43, N = 3SE +/- 135.52, N = 3SE +/- 1530.19, N = 51214671214861230001. (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 5.10.130Linux 5.15.83Linux 6.150K100K150K200K250KSE +/- 254.40, N = 3SE +/- 19.15, N = 3SE +/- 262.34, N = 32342162341422343711. (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 5.10.130Linux 5.15.83Linux 6.130K60K90K120K150KSE +/- 68.75, N = 3SE +/- 104.41, N = 3SE +/- 1877.65, N = 31244281245561263411. (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 5.10.130Linux 5.15.83Linux 6.150K100K150K200K250KSE +/- 103.12, N = 3SE +/- 62.00, N = 3SE +/- 131.54, N = 32399352403112404301. (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 5.10.130Linux 5.15.83Linux 6.130K60K90K120K150KSE +/- 58.33, N = 3SE +/- 69.67, N = 3SE +/- 27.67, N = 31465831465701466921. (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 5.10.130Linux 5.15.83Linux 6.160K120K180K240K300KSE +/- 239.39, N = 3SE +/- 192.14, N = 3SE +/- 92.98, N = 32846992848532842351. (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 5.10.130Linux 5.15.83Linux 6.1400800120016002000SE +/- 0.67, N = 3SE +/- 1.33, N = 3SE +/- 0.58, N = 31778177817791. (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 5.10.130Linux 5.15.83Linux 6.1400800120016002000SE +/- 1.15, N = 3SE +/- 0.67, N = 3SE +/- 1.00, N = 31826182618241. (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: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path TracerLinux 5.10.130Linux 5.15.83Linux 6.16K12K18K24K30KSE +/- 8.11, N = 3SE +/- 21.40, N = 3SE +/- 9.70, N = 32840928417284791. (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 5.10.130Linux 5.15.83Linux 6.114K28K42K56K70KSE +/- 37.27, N = 3SE +/- 20.81, N = 3SE +/- 527.74, N = 36527165242658941. (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 5.10.130Linux 5.15.83Linux 6.16K12K18K24K30KSE +/- 28.26, N = 3SE +/- 5.24, N = 32917229206291651. (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 5.10.130Linux 5.15.83Linux 6.115K30K45K60K75K