GM-1000

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October 27 2020
  19 Hours, 56 Minutes
GM-1000
October 28 2020
  18 Hours, 39 Minutes
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October 29 2020
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GM-1000OpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-9700TE @ 3.80GHz (8 Cores)C OZE GM-1000 v0.0.01.001 (5.13 BIOS)Intel Cannon Lake PCH32GBCIE M8 T405 512GBNVIDIA Quadro P2000 4GB (1455/3003MHz)Realtek ALC888-VDDELL S2409WIntel I219-LM + 2 x Intel 10G X550T + Intel I210Ubuntu 20.105.8.0-25-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9NVIDIA 455.284.6.0OpenCL 1.2 CUDA 11.1.961.2.142GCC 10.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionGM-1000 BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/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-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 - NONE / errors=remount-ro,relatime,rw- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 2.3 - GPU Compute Cores: 768- OpenJDK Runtime Environment (build 11.0.9+10-post-Ubuntu-0ubuntu1) - Python 3.8.6- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 + srbds: Mitigation of TSX disabled + tsx_async_abort: Mitigation of TSX disabled

Run 1GM-1000ExtraResult OverviewPhoronix Test Suite100%105%109%114%118%IORoneDNNIncompact3DLeelaChessZeroMonte Carlo Simulations of Ionised NebulaeJohn The RipperLibRawLAMMPS Molecular Dynamics SimulatorRealSR-NCNNHigh Performance Conjugate GradientTimed MAFFT AlignmentZstd CompressionFFTEWaifu2x-NCNN VulkanC-BloscBYTE Unix BenchmarkJava Gradle BuildGLmark2PostMarkNAMDWireGuard + Linux Networking Stack Stress TestTimed HMMer SearchDolfynWebP Image EncodeDaCapo Benchmark

GM-1000onednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUrocksdb: Rand Fillonednn: IP Batch All - f32 - CPUrocksdb: Seq Fillmnn: SqueezeNetV1.0ncnn: CPU - resnet50mnn: inception-v3ncnn: CPU - resnet18ncnn: CPU-v2-v2 - mobilenet-v2incompact3d: Cylinderncnn: CPU - mobilenetncnn: CPU - squeezenetncnn: CPU - vgg16ncnn: CPU - yolov4-tinyleveldb: Overwriteleveldb: Overwritelczero: BLASmnn: resnet-v2-50lczero: Eigenonednn: IP Batch All - u8s8f32 - CPUncnn: Vulkan GPU - blazefacecassandra: Writescaffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 100john-the-ripper: MD5ncnn: CPU - alexnetoidn: Memorialtensorflow-lite: NASNet Mobilemlpack: scikit_qdamocassin: Dust 2D tau100.0caffe: AlexNet - CPU - 100compress-zstd: 19ior: Read Testlibraw: Post-Processing Benchmarkjohn-the-ripper: Blowfishtensorflow-lite: Mobilenet Quantdacapobench: Tradesoapncnn: Vulkan GPU - shufflenet-v2leveldb: Rand Filllammps: Rhodopsin Proteinleveldb: Rand Fillcaffe: AlexNet - CPU - 200tensorflow-lite: Mobilenet Floatonednn: Convolution Batch Shapes Auto - f32 - CPUncnn: Vulkan GPU - yolov4-tinyrealsr-ncnn: 4x - Notensorflow-lite: Inception ResNet V2hpcg: leveldb: Hot Readdav1d: Summer Nature 4Krealsr-ncnn: 4x - Yesdav1d: Summer Nature 1080ptensorflow-lite: Inception V4dav1d: Chimera 1080ptensorflow-lite: SqueezeNetmafft: Multiple Sequence Alignment - LSU RNAonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUrawtherapee: Total Benchmark Timeleveldb: Seek Randwaifu2x-ncnn: 2x - 3 - Yesonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUhugin: Panorama Photo Assistant + Stitching Timeleveldb: Rand Deleteonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUmlpack: scikit_icatnn: CPU - MobileNet v2numenta-nab: Earthgecko Skylinedacapobench: H2ncnn: Vulkan GPU - mobilenetffte: N=256, 3D Complex FFT Routinedacapobench: Tradebeansncnn: Vulkan GPU - alexnetrocksdb: Read While Writingncnn: Vulkan GPU - vgg16kripke: ai-benchmark: Device Training Scoreai-benchmark: Device AI Scorewaifu2x-ncnn: 2x - 3 - Nonumenta-nab: Windowed Gaussianai-benchmark: Device Inference Scorencnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - resnet18git: Time To Complete Common Git Commandsastcenc: Exhaustivecompress-zstd: 3ncnn: Vulkan GPU-v3-v3 - mobilenet-v3java-gradle-perf: Reactoropenvkl: vklBenchmarkocrmypdf: Processing 60 Page PDF Documentpgbench: 1 - 50 - Read Only - Average Latencyblosc: blosclzpgbench: 1 - 50 - Read Onlycompress-7zip: Compress Speed Testncnn: Vulkan GPU - mnasnetbyte: Dhrystone 2glmark2: 1920 x 1080dacapobench: Jythonncnn: Vulkan GPU - squeezenetastcenc: Thoroughbuild-linux-kernel: Time To Compileyafaray: Total Time For Sample Scenepostmark: Disk Transaction Performancepyperformance: regex_compilekvazaar: Bosphorus 1080p - Very Fastwireguard: luxcorerender: DLSCbuild-apache: Time To Compiledav1d: Chimera 1080p 10-bitnamd: ATPase Simulation - 327,506 Atomsx265: Bosphorus 4Ksvt-av1: Enc Mode 0 - 1080pluxcorerender: Rainbow Colors and Prismgromacs: Water Benchmarkmlpack: scikit_svmbuild-llvm: Time To Compilersvg: SVG Files To PNGbrl-cad: VGR Performance Metricpyperformance: govpxenc: Speed 5pyperformance: pickle_pure_pythonbuild-gdb: Time To Compileastcenc: Fastkvazaar: Bosphorus 4K - Mediumwebp: Quality 100, Losslessnumpy: rocksdb: Rand Readkvazaar: Bosphorus 4K - Ultra Fastleveldb: Rand Readpyperformance: chaosavifenc: 2pyperformance: floatx265: Bosphorus 1080pkvazaar: Bosphorus 4K - Very Fastpyperformance: json_loadsonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUmlpack: scikit_linearridgeregressionbuild-php: Time To Compilenumenta-nab: Bayesian Changepointsvt-av1: Enc Mode 4 - 1080pvpxenc: Speed 0pyperformance: django_templatehmmer: Pfam Database Searchtesseract-ocr: Time To OCR 7 Imagespyperformance: pathlibwebp: Quality 100rnnoise: webp: Quality 100, Highest Compressiondolfyn: Computational Fluid Dynamicswebp: Quality 100, Lossless, Highest Compressionpgbench: 1 - 1 - Read Onlyavifenc: 0avifenc: 10hint: FLOATleveldb: Seq Fillrays1bench: Large Sceneleveldb: Seq Fillwebp: Defaultkeydb: pyperformance: 2to3pyperformance: python_startupkvazaar: Bosphorus 1080p - Mediumavifenc: 8pyperformance: raytraceoctave-benchmark: tnn: CPU - SqueezeNet v1.1numenta-nab: Relative Entropypyperformance: crypto_pyaespyperformance: nbodypgbench: 1 - 1 - Read Only - Average Latencypolyhedron: mp_prop_designpolyhedron: test_fpu2polyhedron: gas_dyn2polyhedron: fatigue2polyhedron: channel2polyhedron: capacitapolyhedron: proteinpolyhedron: induct2polyhedron: rnflowpolyhedron: aermodpolyhedron: tfft2polyhedron: linpkpolyhedron: doducpolyhedron: mdbxpolyhedron: airpolyhedron: acrocksdb: Rand Fill Syncncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224astcenc: Mediumpgbench: 1 - 50 - Read Write - Average Latencypgbench: 1 - 50 - Read Writepgbench: 1 - 1 - Read Write - Average Latencypgbench: 1 - 1 - Read Writeleveldb: Fill Syncleveldb: Fill Syncopenssl: RSA 4096-bit Performanceespeak: Text-To-Speech Synthesissvt-vp9: Visual Quality Optimized - Bosphorus 1080psvt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pkvazaar: Bosphorus 1080p - Ultra Fastonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch 1D - f32 - CPUior: Write TestRun 1GM-1000Extra8.2737610.15325558.657194.551730919110.956107417810.18943.9059.12821.936.18707.57305928.3823.9277.8240.3626.95332.878848.83376566.88030.982199524066111943543595221.353.9030491683.363464207623.3499.5027.57771226727767122.2827.2895.07732.48584326726416.553215.6437.93152366933.703575.04196.53276.839357.235794163367.7139254011.47616.244192.6105.75016.83912.691573.56026.9806.4996662.84359.288291.98933959.0530256.20338647437207.9583070132.472143552375114073.22125.4756562.937.665.1112.925.6759.024617.903525.63.32272.52182.0838.7930.3828610.8130975245883.0436044892.93441487010.0875.58208.886368.311657818923.91272.7990.6831.65177.244.199576.620.0750.760.54028.571584.23124.3464264926719.87457153.8237.852.0121.118319.042483707610.474.789116109.80912131.665.6628.64.354965.873503.12114.07096.5271.4555.0652.0131.26826.96319.42.79428.9608.59322.20046.98224971191.6316.257361795957.6429827.10019.8132.61.757459827.533538.999.036.6585068.015361.89649.4731161380.0467.8239.1358.9554.4855.7812.4716.9420.0517.846.6322.333.058.335.332.426.01350223.162.1810.666.485.216.127.4854.3269.5771.4557142.1224942630.5270.31519.437.44880.36108.1844.904.681958.43494613.588.8837110.80921670.341231.386634739114.29198109111.11747.3363.68223.566.61706.78615330.3325.5483.0743.0828.73330.878451.88775867.76541.042073225531912614043083422.533.7032124687.813444424523.3476.1527.26765427952466802.3828.4594.87031.18942427839316.622416.2837.87554413003.708314.85492.95276.624344.076011180354.5140636911.26816.123695.4815.92816.86812.820375.78826.1876.6951764.72369.908300.54433399.3130890.90667473136218.1780873633.332088958373213723.21426.1156403.007.845.2313.225.8060.372631.693601.73.39271.42880.3939.6080.3908600.4128373241103.1036200967.73442483310.2776.98212.648374.754657818623.54269.9320.6732.11576.174.178686.530.0740.750.53328.931604.05924.6314313827019.65462155.3957.931.9921.197322.072461633110.384.748117110.73712231.425.6228.44.385025.912393.14114.79697.1351.4465.0952.3131.24827.10819.32.78029.1008.57222.14546.98224862190.8166.283360309999.3161227.20419.7432.51.759458524.513529.019.016.6725058.007362.13049.5021161380.040347323.992.0710.256.905.356.517.7834.7039.9168.8967261.9885032260.1460.41492.733.37780.06107.7944.454.840059.53324461.4511.710612.8703124.810755.88511174072071.026941302736222.2483.1826.32736469774.88117.232239.3873.56932287.26211.09616.656117.36013.0804343530034.45473213437223.2953552.8277.1458437.535503304.4337749266466273.9934.2371220.987131.9912.7818.55422.24547.1931.7545.1932811.34987465.18OpenBenchmarking.org

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUExtraGM-1000Run 13691215SE +/- 0.15846, N = 3SE +/- 0.08092, N = 15SE +/- 0.02350, N = 311.710608.883718.27376MIN: 10.78MIN: 8.11MIN: 8.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUExtraGM-1000Run 13691215Min: 11.4 / Avg: 11.71 / Max: 11.91Min: 8.34 / Avg: 8.88 / Max: 9.44Min: 8.23 / Avg: 8.27 / Max: 8.311. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUExtraGM-1000Run 13691215SE +/- 0.14, N = 3SE +/- 0.15, N = 13SE +/- 0.12, N = 612.8710.8110.15MIN: 10.64MIN: 6.79MIN: 8.61. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUExtraGM-1000Run 148121620Min: 12.58 / Avg: 12.87 / Max: 13.03Min: 9.07 / Avg: 10.81 / Max: 11.29Min: 9.58 / Avg: 10.15 / Max: 10.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUGM-1000Run 1140280420560700SE +/- 8.43, N = 3SE +/- 1.10, N = 3670.34558.66MIN: 612.85MIN: 512.241. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUGM-1000Run 1120240360480600Min: 653.52 / Avg: 670.34 / Max: 679.85Min: 556.94 / Avg: 558.66 / Max: 560.721. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUGM-1000Run 150100150200250SE +/- 0.93, N = 3SE +/- 2.57, N = 5231.39194.55MIN: 223.49MIN: 182.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUGM-1000Run 14080120160200Min: 229.67 / Avg: 231.39 / Max: 232.85Min: 186.96 / Avg: 194.55 / Max: 202.831. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillGM-1000Run 1160K320K480K640K800KSE +/- 7757.34, N = 5SE +/- 8348.44, N = 36347397309191. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random FillGM-1000Run 1130K260K390K520K650KMin: 614178 / Avg: 634738.6 / Max: 658548Min: 714235 / Avg: 730919.33 / Max: 7398221. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUExtraGM-1000Run 1306090120150SE +/- 0.47, N = 3SE +/- 0.53, N = 3SE +/- 0.40, N = 3124.81114.29110.96MIN: 109.72MIN: 99.97MIN: 97.331. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUExtraGM-1000Run 120406080100Min: 123.93 / Avg: 124.81 / Max: 125.56Min: 113.26 / Avg: 114.29 / Max: 115Min: 110.17 / Avg: 110.96 / Max: 111.431. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillGM-1000Run 1200K400K600K800K1000KSE +/- 13114.25, N = 15SE +/- 9270.31, N = 1598109110741781. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Sequential FillGM-1000Run 1200K400K600K800K1000KMin: 882368 / Avg: 981090.53 / Max: 1073609Min: 1045047 / Avg: 1074178 / Max: 11721861. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0GM-1000Run 13691215SE +/- 0.02, N = 3SE +/- 0.01, N = 311.1210.19MIN: 9.82 / MAX: 23.66MIN: 9.85 / MAX: 11.91. (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 2020-09-17Model: SqueezeNetV1.0GM-1000Run 13691215Min: 11.07 / Avg: 11.12 / Max: 11.15Min: 10.17 / Avg: 10.19 / Max: 10.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50GM-1000Run 11122334455SE +/- 0.19, N = 3SE +/- 0.06, N = 347.3343.90MIN: 44.74 / MAX: 59.62MIN: 41.9 / MAX: 53.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50GM-1000Run 11020304050Min: 47.11 / Avg: 47.33 / Max: 47.71Min: 43.82 / Avg: 43.9 / Max: 44.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3GM-1000Run 11428425670SE +/- 0.28, N = 3SE +/- 0.04, N = 363.6859.13MIN: 58.94 / MAX: 77.62MIN: 57.34 / MAX: 70.071. (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 2020-09-17Model: inception-v3GM-1000Run 11224364860Min: 63.13 / Avg: 63.68 / Max: 63.97Min: 59.08 / Avg: 59.13 / Max: 59.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18GM-1000Run 1612182430SE +/- 0.04, N = 3SE +/- 0.01, N = 323.5621.93MIN: 21.32 / MAX: 35.12MIN: 20 / MAX: 22.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18GM-1000Run 1612182430Min: 23.5 / Avg: 23.56 / Max: 23.63Min: 21.9 / Avg: 21.93 / Max: 21.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2GM-1000Run 1246810SE +/- 0.22, N = 3SE +/- 0.16, N = 36.616.18MIN: 5.61 / MAX: 9.69MIN: 5.65 / MAX: 9.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2GM-1000Run 13691215Min: 6.17 / Avg: 6.61 / Max: 6.89Min: 5.95 / Avg: 6.18 / Max: 6.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Incompact3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderExtraGM-1000Run 1160320480640800SE +/- 2.16, N = 3SE +/- 1.81, N = 3SE +/- 0.45, N = 3755.89706.79707.571. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderExtraGM-1000Run 1130260390520650Min: 751.65 / Avg: 755.89 / Max: 758.79Min: 703.74 / Avg: 706.79 / Max: 710.01Min: 706.72 / Avg: 707.57 / Max: 708.241. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lm -lrt -lz

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 20200916Target: CPU - Model: mobilenetGM-1000Run 1714212835SE +/- 0.17, N = 3SE +/- 0.04, N = 330.3328.38MIN: 28.89 / MAX: 41.86MIN: 27.62 / MAX: 391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetGM-1000Run 1714212835Min: 30.09 / Avg: 30.33 / Max: 30.65Min: 28.32 / Avg: 28.38 / Max: 28.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetGM-1000Run 1612182430SE +/- 0.12, N = 3SE +/- 0.02, N = 325.5423.92MIN: 24.15 / MAX: 35.43MIN: 23.33 / MAX: 29.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetGM-1000Run 1612182430Min: 25.33 / Avg: 25.54 / Max: 25.76Min: 23.88 / Avg: 23.92 / Max: 23.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16GM-1000Run 120406080100SE +/- 0.13, N = 3SE +/- 0.02, N = 383.0777.82MIN: 81.47 / MAX: 93.06MIN: 77.53 / MAX: 87.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16GM-1000Run 11632486480Min: 82.81 / Avg: 83.07 / Max: 83.24Min: 77.77 / Avg: 77.82 / Max: 77.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyGM-1000Run 11020304050SE +/- 0.16, N = 3SE +/- 0.03, N = 343.0840.36MIN: 41.28 / MAX: 53.54MIN: 39.31 / MAX: 42.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyGM-1000Run 1918273645Min: 42.84 / Avg: 43.08 / Max: 43.39Min: 40.32 / Avg: 40.36 / Max: 40.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000Run 1714212835SE +/- 0.24, N = 15SE +/- 0.12, N = 328.7326.951. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000Run 1612182430Min: 27.31 / Avg: 28.73 / Max: 30.06Min: 26.75 / Avg: 26.95 / Max: 27.171. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000Run 1816243240SE +/- 0.26, N = 15SE +/- 0.15, N = 330.832.81. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteGM-1000Run 1714212835Min: 29.4 / Avg: 30.77 / Max: 32.4Min: 32.5 / Avg: 32.77 / Max: 331. (CXX) g++ options: -O3 -lsnappy -lpthread

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASExtraGM-1000Run 12004006008001000SE +/- 2.19, N = 3SE +/- 6.44, N = 3SE +/- 6.17, N = 37407847881. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASExtraGM-1000Run 1140280420560700Min: 736 / Avg: 740.33 / Max: 743Min: 771 / Avg: 783.67 / Max: 792Min: 781 / Avg: 787.67 / Max: 8001. (CXX) g++ options: -flto -pthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50GM-1000Run 11224364860SE +/- 0.24, N = 3SE +/- 0.04, N = 351.8948.83MIN: 48.29 / MAX: 64.91MIN: 46.03 / MAX: 59.961. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50GM-1000Run 11020304050Min: 51.41 / Avg: 51.89 / Max: 52.15Min: 48.78 / Avg: 48.83 / Max: 48.91. (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

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenExtraGM-1000Run 1160320480640800SE +/- 2.19, N = 3SE +/- 2.52, N = 3SE +/- 3.18, N = 37207587651. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenExtraGM-1000Run 1130260390520650Min: 716 / Avg: 720.33 / Max: 723Min: 755 / Avg: 758 / Max: 763Min: 761 / Avg: 764.67 / Max: 7711. (CXX) g++ options: -flto -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 11632486480SE +/- 0.54, N = 3SE +/- 0.33, N = 3SE +/- 0.16, N = 371.0367.7766.88MIN: 61.7MIN: 59.54MIN: 58.831. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 11428425670Min: 70.38 / Avg: 71.03 / Max: 72.1Min: 67.23 / Avg: 67.77 / Max: 68.36Min: 66.71 / Avg: 66.88 / Max: 67.191. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceGM-1000Run 10.2340.4680.7020.9361.17SE +/- 0.01, N = 3SE +/- 0.00, N = 31.040.98MIN: 0.94 / MAX: 1.7MIN: 0.94 / MAX: 1.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceGM-1000Run 1246810Min: 1.01 / Avg: 1.04 / Max: 1.05Min: 0.98 / Avg: 0.98 / Max: 0.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache Cassandra

This is a benchmark of the Apache Cassandra NoSQL database management system making use of cassandra-stress. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesGM-1000Run 15K10K15K20K25KSE +/- 177.03, N = 15SE +/- 358.19, N = 32073221995
OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 3.11.4Test: WritesGM-1000Run 14K8K12K16K20KMin: 19586 / Avg: 20732.33 / Max: 22089Min: 21311 / Avg: 21995.33 / Max: 22521

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200GM-1000Run 150K100K150K200K250KSE +/- 2728.74, N = 3SE +/- 464.17, N = 32553192406611. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200GM-1000Run 140K80K120K160K200KMin: 250680 / Avg: 255318.67 / Max: 260128Min: 239925 / Avg: 240661 / Max: 2415191. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100GM-1000Run 130K60K90K120K150KSE +/- 87.22, N = 3SE +/- 812.61, N = 31261401194351. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100GM-1000Run 120K40K60K80K100KMin: 126011 / Avg: 126139.67 / Max: 126306Min: 117810 / Avg: 119434.67 / Max: 1202841. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5ExtraGM-1000Run 190K180K270K360K450KSE +/- 5262.95, N = 5SE +/- 3391.63, N = 15SE +/- 5832.73, N = 54130274308344359521. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5ExtraGM-1000Run 180K160K240K320K400KMin: 407321 / Avg: 413026.6 / Max: 434073Min: 424345 / Avg: 430834 / Max: 477696Min: 429004 / Avg: 435952.2 / Max: 4592381. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

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 20200916Target: CPU - Model: alexnetGM-1000Run 1510152025SE +/- 0.06, N = 3SE +/- 0.01, N = 322.5321.35MIN: 21.39 / MAX: 32.99MIN: 20.63 / MAX: 22.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetGM-1000Run 1510152025Min: 22.45 / Avg: 22.53 / Max: 22.66Min: 21.34 / Avg: 21.35 / Max: 21.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Intel Open Image Denoise

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

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialGM-1000Run 10.87751.7552.63253.514.3875SE +/- 0.04, N = 6SE +/- 0.05, N = 33.703.90
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialGM-1000Run 1246810Min: 3.65 / Avg: 3.7 / Max: 3.91Min: 3.84 / Avg: 3.9 / Max: 4

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileGM-1000Run 170K140K210K280K350KSE +/- 4505.57, N = 4SE +/- 3175.48, N = 3321246304916
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileGM-1000Run 160K120K180K240K300KMin: 307741 / Avg: 321246 / Max: 326227Min: 298572 / Avg: 304915.67 / Max: 308351

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaGM-1000Run 120406080100SE +/- 0.01, N = 3SE +/- 0.79, N = 387.8183.36
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaGM-1000Run 120406080100Min: 87.8 / Avg: 87.81 / Max: 87.82Min: 82.55 / Avg: 83.36 / Max: 84.93

Monte Carlo Simulations of Ionised Nebulae

Mocassin is the Monte Carlo Simulations of Ionised Nebulae. MOCASSIN is a fully 3D or 2D photoionisation and dust radiative transfer code which employs a Monte Carlo approach to the transfer of radiation through media of arbitrary geometry and density distribution. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0ExtraGM-1000Run 180160240320400SE +/- 3.53, N = 3SE +/- 1.33, N = 3SE +/- 0.67, N = 33623443461. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0ExtraGM-1000Run 160120180240300Min: 355 / Avg: 361.67 / Max: 367Min: 341 / Avg: 343.67 / Max: 345Min: 345 / Avg: 346.33 / Max: 3471. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -ldl -levent -levent_pthreads -lutil -lrt -lz

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100GM-1000Run 19K18K27K36K45KSE +/- 486.77, N = 7SE +/- 414.12, N = 944245420761. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100GM-1000Run 18K16K24K32K40KMin: 41475 / Avg: 44245.29 / Max: 45540Min: 38766 / Avg: 42075.56 / Max: 425771. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19ExtraGM-1000Run 1612182430SE +/- 0.27, N = 4SE +/- 0.25, N = 3SE +/- 0.27, N = 322.223.323.31. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19ExtraGM-1000Run 1510152025Min: 21.7 / Avg: 22.15 / Max: 22.9Min: 23 / Avg: 23.3 / Max: 23.8Min: 23 / Avg: 23.27 / Max: 23.81. (CC) gcc options: -O3 -pthread -lz -llzma

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestExtraGM-1000Run 1110220330440550SE +/- 2.74, N = 15SE +/- 4.42, N = 15SE +/- 3.03, N = 12483.18476.15499.50MIN: 27.08 / MAX: 568.89MIN: 10.65 / MAX: 548.82MIN: 30.23 / MAX: 574.41. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Read TestExtraGM-1000Run 190180270360450Min: 463.88 / Avg: 483.18 / Max: 507.62Min: 443.63 / Avg: 476.15 / Max: 499.02Min: 467.78 / Avg: 499.5 / Max: 507.851. (CC) gcc options: -O2 -lm -pthread -lmpi

LibRaw

LibRaw is a RAW image decoder for digital camera photos. This test profile runs LibRaw's post-processing benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkExtraGM-1000Run 1612182430SE +/- 0.25, N = 3SE +/- 0.32, N = 3SE +/- 0.31, N = 326.3227.2627.571. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkExtraGM-1000Run 1612182430Min: 26.01 / Avg: 26.32 / Max: 26.82Min: 26.9 / Avg: 27.26 / Max: 27.9Min: 27.25 / Avg: 27.57 / Max: 28.181. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishExtraGM-1000Run 117003400510068008500SE +/- 111.84, N = 3SE +/- 60.95, N = 13SE +/- 113.08, N = 47364765477121. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishExtraGM-1000Run 113002600390052006500Min: 7250 / Avg: 7364.33 / Max: 7588Min: 7579 / Avg: 7653.77 / Max: 8385Min: 7598 / Avg: 7711.75 / Max: 80511. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt -lbz2

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantGM-1000Run 160K120K180K240K300KSE +/- 4770.18, N = 3SE +/- 2723.19, N = 3279524267277
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantGM-1000Run 150K100K150K200K250KMin: 269984 / Avg: 279524.33 / Max: 284312Min: 261831 / Avg: 267277.33 / Max: 270018

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapExtraGM-1000Run 115003000450060007500SE +/- 69.74, N = 20SE +/- 85.52, N = 20SE +/- 80.79, N = 20697766806712
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradesoapExtraGM-1000Run 112002400360048006000Min: 5884 / Avg: 6976.5 / Max: 7428Min: 5549 / Avg: 6679.85 / Max: 7130Min: 5668 / Avg: 6712 / Max: 7022

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 20200916Target: Vulkan GPU - Model: shufflenet-v2GM-1000Run 10.53551.0711.60652.1422.6775SE +/- 0.01, N = 3SE +/- 0.00, N = 32.382.28MIN: 2.24 / MAX: 4.75MIN: 2.25 / MAX: 2.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2GM-1000Run 1246810Min: 2.35 / Avg: 2.38 / Max: 2.39Min: 2.28 / Avg: 2.28 / Max: 2.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillGM-1000Run 1714212835SE +/- 0.30, N = 15SE +/- 0.10, N = 328.4627.291. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillGM-1000Run 1612182430Min: 27.23 / Avg: 28.46 / Max: 29.99Min: 27.11 / Avg: 27.29 / Max: 27.451. (CXX) g++ options: -O3 -lsnappy -lpthread

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 24Aug2020Model: Rhodopsin ProteinExtraGM-1000Run 11.14232.28463.42694.56925.7115SE +/- 0.033, N = 3SE +/- 0.047, N = 15SE +/- 0.013, N = 34.8814.8705.0771. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinExtraGM-1000Run 1246810Min: 4.82 / Avg: 4.88 / Max: 4.94Min: 4.71 / Avg: 4.87 / Max: 5.13Min: 5.06 / Avg: 5.08 / Max: 5.11. (CXX) g++ options: -O3 -pthread -lm

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillGM-1000Run 1816243240SE +/- 0.32, N = 15SE +/- 0.12, N = 331.132.41. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillGM-1000Run 1714212835Min: 29.5 / Avg: 31.1 / Max: 32.5Min: 32.2 / Avg: 32.4 / Max: 32.61. (CXX) g++ options: -O3 -lsnappy -lpthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200GM-1000Run 120K40K60K80K100KSE +/- 906.54, N = 3SE +/- 615.29, N = 389424858431. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200GM-1000Run 116K32K48K64K80KMin: 87616 / Avg: 89424.33 / Max: 90442Min: 84625 / Avg: 85843 / Max: 866041. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatGM-1000Run 160K120K180K240K300KSE +/- 4495.68, N = 3SE +/- 2726.50, N = 3278393267264
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatGM-1000Run 150K100K150K200K250KMin: 269404 / Avg: 278393 / Max: 283066Min: 261811 / Avg: 267264 / Max: 269993

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUExtraGM-1000Run 148121620SE +/- 0.11, N = 3SE +/- 0.05, N = 7SE +/- 0.05, N = 317.2316.6216.55MIN: 16.52MIN: 16.36MIN: 16.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUExtraGM-1000Run 148121620Min: 17.01 / Avg: 17.23 / Max: 17.35Min: 16.47 / Avg: 16.62 / Max: 16.78Min: 16.45 / Avg: 16.55 / Max: 16.611. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyGM-1000Run 148121620SE +/- 0.01, N = 3SE +/- 0.01, N = 316.2815.64MIN: 15.64 / MAX: 17.64MIN: 15.48 / MAX: 16.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyGM-1000Run 148121620Min: 16.26 / Avg: 16.28 / Max: 16.29Min: 15.63 / Avg: 15.64 / Max: 15.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoExtraGM-1000Run 1918273645SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.16, N = 339.3937.8837.93
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoExtraGM-1000Run 1816243240Min: 39.35 / Avg: 39.39 / Max: 39.43Min: 37.84 / Avg: 37.88 / Max: 37.92Min: 37.75 / Avg: 37.93 / Max: 38.25

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2GM-1000Run 11.2M2.4M3.6M4.8M6MSE +/- 40177.63, N = 3SE +/- 19776.99, N = 354413005236693
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2GM-1000Run 1900K1800K2700K3600K4500KMin: 5360970 / Avg: 5441300 / Max: 5483210Min: 5197150 / Avg: 5236693.33 / Max: 5257260

High Performance Conjugate Gradient

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

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1ExtraGM-1000Run 10.83441.66882.50323.33764.172SE +/- 0.02421, N = 3SE +/- 0.00058, N = 3SE +/- 0.00326, N = 33.569323.708313.703571. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.1ExtraGM-1000Run 1246810Min: 3.54 / Avg: 3.57 / Max: 3.62Min: 3.71 / Avg: 3.71 / Max: 3.71Min: 3.7 / Avg: 3.7 / Max: 3.711. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadGM-1000Run 11.13422.26843.40264.53685.671SE +/- 0.045, N = 15SE +/- 0.048, N = 154.8545.0411. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadGM-1000Run 1246810Min: 4.59 / Avg: 4.85 / Max: 5.13Min: 4.8 / Avg: 5.04 / Max: 5.461. (CXX) g++ options: -O3 -lsnappy -lpthread

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KGM-1000Run 120406080100SE +/- 1.39, N = 4SE +/- 1.49, N = 392.9596.53MIN: 77.22 / MAX: 122.95MIN: 80.52 / MAX: 123.951. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KGM-1000Run 120406080100Min: 91.52 / Avg: 92.95 / Max: 97.13Min: 94.96 / Avg: 96.53 / Max: 99.521. (CC) gcc options: -pthread

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesExtraGM-1000Run 160120180240300SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.21, N = 3287.26276.62276.84
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesExtraGM-1000Run 150100150200250Min: 287.17 / Avg: 287.26 / Max: 287.35Min: 276.49 / Avg: 276.62 / Max: 276.75Min: 276.46 / Avg: 276.84 / Max: 277.19

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pGM-1000Run 180160240320400SE +/- 0.50, N = 3SE +/- 0.69, N = 3344.07357.23MIN: 298.25 / MAX: 380.67MIN: 301.41 / MAX: 391.961. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pGM-1000Run 160120180240300Min: 343.12 / Avg: 344.07 / Max: 344.8Min: 355.87 / Avg: 357.23 / Max: 358.121. (CC) gcc options: -pthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4GM-1000Run 11.3M2.6M3.9M5.2M6.5MSE +/- 34182.46, N = 3SE +/- 22366.69, N = 360111805794163
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4GM-1000Run 11000K2000K3000K4000K5000KMin: 5942980 / Avg: 6011180 / Max: 6049390Min: 5749430 / Avg: 5794163.33 / Max: 5816590

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pGM-1000Run 180160240320400SE +/- 2.32, N = 3SE +/- 1.32, N = 3354.51367.71MIN: 226.96 / MAX: 562.8MIN: 232.75 / MAX: 584.381. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pGM-1000Run 170140210280350Min: 350.42 / Avg: 354.51 / Max: 358.46Min: 365.26 / Avg: 367.71 / Max: 369.761. (CC) gcc options: -pthread

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetGM-1000Run 190K180K270K360K450KSE +/- 5447.42, N = 4SE +/- 4043.35, N = 3406369392540
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetGM-1000Run 170K140K210K280K350KMin: 390032 / Avg: 406369.25 / Max: 412184Min: 384454 / Avg: 392540.33 / Max: 396651

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAExtraGM-1000Run 13691215SE +/- 0.19, N = 3SE +/- 0.10, N = 11SE +/- 0.10, N = 1111.1011.2711.481. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNAExtraGM-1000Run 13691215Min: 10.8 / Avg: 11.1 / Max: 11.44Min: 10.64 / Avg: 11.27 / Max: 11.85Min: 10.83 / Avg: 11.48 / Max: 11.981. (CC) gcc options: -std=c99 -O3 -lm -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 148121620SE +/- 0.08, N = 3SE +/- 0.02, N = 6SE +/- 0.03, N = 316.6616.1216.24MIN: 15.93MIN: 15.9MIN: 15.991. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 148121620Min: 16.52 / Avg: 16.66 / Max: 16.8Min: 16.07 / Avg: 16.12 / Max: 16.18Min: 16.2 / Avg: 16.24 / Max: 16.311. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeGM-1000Run 120406080100SE +/- 1.25, N = 3SE +/- 0.85, N = 395.4892.611. RawTherapee, version 5.8, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeGM-1000Run 120406080100Min: 92.99 / Avg: 95.48 / Max: 96.86Min: 90.9 / Avg: 92.61 / Max: 93.541. RawTherapee, version 5.8, command line.

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomGM-1000Run 11.33382.66764.00145.33526.669SE +/- 0.070, N = 15SE +/- 0.056, N = 35.9285.7501. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomGM-1000Run 1246810Min: 5.43 / Avg: 5.93 / Max: 6.16Min: 5.64 / Avg: 5.75 / Max: 5.831. (CXX) g++ options: -O3 -lsnappy -lpthread

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesExtraGM-1000Run 148121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 317.3616.8716.84
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesExtraGM-1000Run 148121620Min: 17.35 / Avg: 17.36 / Max: 17.38Min: 16.85 / Avg: 16.87 / Max: 16.89Min: 16.83 / Avg: 16.84 / Max: 16.85

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 13691215SE +/- 0.14, N = 3SE +/- 0.14, N = 12SE +/- 0.20, N = 313.0812.8212.69MIN: 10.8MIN: 8.95MIN: 10.891. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 148121620Min: 12.79 / Avg: 13.08 / Max: 13.26Min: 11.33 / Avg: 12.82 / Max: 13Min: 12.31 / Avg: 12.69 / Max: 12.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Hugin

Hugin is an open-source, cross-platform panorama photo stitcher software package. This test profile times how long it takes to run the assistant and panorama photo stitching on a set of images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeGM-1000Run 120406080100SE +/- 0.89, N = 3SE +/- 0.66, N = 375.7973.56
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeGM-1000Run 11530456075Min: 74.1 / Avg: 75.79 / Max: 77.14Min: 72.39 / Avg: 73.56 / Max: 74.69

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteGM-1000Run 1612182430SE +/- 0.34, N = 4SE +/- 0.23, N = 1526.1926.981. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteGM-1000Run 1612182430Min: 25.66 / Avg: 26.19 / Max: 27.11Min: 25.37 / Avg: 26.98 / Max: 28.571. (CXX) g++ options: -O3 -lsnappy -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUGM-1000Run 1246810SE +/- 0.01402, N = 9SE +/- 0.01576, N = 36.695176.49966MIN: 6.49MIN: 6.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUGM-1000Run 13691215Min: 6.64 / Avg: 6.7 / Max: 6.74Min: 6.47 / Avg: 6.5 / Max: 6.521. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaGM-1000Run 11428425670SE +/- 1.11, N = 3SE +/- 0.82, N = 364.7262.84
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaGM-1000Run 11326395265Min: 62.5 / Avg: 64.72 / Max: 65.89Min: 61.2 / Avg: 62.84 / Max: 63.8

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2GM-1000Run 180160240320400SE +/- 0.15, N = 3SE +/- 0.13, N = 3369.91359.29MIN: 368.82 / MAX: 373.15MIN: 358.26 / MAX: 362.091. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2GM-1000Run 170140210280350Min: 369.74 / Avg: 369.91 / Max: 370.22Min: 359.12 / Avg: 359.29 / Max: 359.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineGM-1000Run 170140210280350SE +/- 4.34, N = 3SE +/- 1.25, N = 3300.54291.99
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineGM-1000Run 150100150200250Min: 293.05 / Avg: 300.54 / Max: 308.1Min: 290.48 / Avg: 291.99 / Max: 294.48

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2ExtraGM-1000Run 17001400210028003500SE +/- 34.42, N = 20SE +/- 39.15, N = 20SE +/- 36.99, N = 20343533393395
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: H2ExtraGM-1000Run 16001200180024003000Min: 3173 / Avg: 3435.1 / Max: 3806Min: 3013 / Avg: 3338.75 / Max: 3706Min: 3110 / Avg: 3395.4 / Max: 3647

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 20200916Target: Vulkan GPU - Model: mobilenetGM-1000Run 13691215SE +/- 0.00, N = 3SE +/- 0.00, N = 39.319.05MIN: 9 / MAX: 10.28MIN: 8.97 / MAX: 9.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetGM-1000Run 13691215Min: 9.31 / Avg: 9.31 / Max: 9.32Min: 9.05 / Avg: 9.05 / Max: 9.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineExtraGM-1000Run 17K14K21K28K35KSE +/- 74.99, N = 3SE +/- 47.47, N = 11SE +/- 57.05, N = 330034.4530890.9130256.201. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineExtraGM-1000Run 15K10K15K20K25KMin: 29889.31 / Avg: 30034.45 / Max: 30139.73Min: 30699.22 / Avg: 30890.91 / Max: 31121.85Min: 30159.92 / Avg: 30256.2 / Max: 30357.381. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansExtraGM-1000Run 18001600240032004000SE +/- 43.41, N = 4SE +/- 30.71, N = 5SE +/- 13.49, N = 4372236213720
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: TradebeansExtraGM-1000Run 16001200180024003000Min: 3612 / Avg: 3721.75 / Max: 3824Min: 3510 / Avg: 3621.4 / Max: 3686Min: 3694 / Avg: 3719.75 / Max: 3745

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 20200916Target: Vulkan GPU - Model: alexnetGM-1000Run 1246810SE +/- 0.08, N = 3SE +/- 0.01, N = 38.177.95MIN: 7.83 / MAX: 8.81MIN: 7.8 / MAX: 8.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetGM-1000Run 13691215Min: 8.08 / Avg: 8.17 / Max: 8.32Min: 7.93 / Avg: 7.95 / Max: 7.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingGM-1000Run 1200K400K600K800K1000KSE +/- 8029.23, N = 8SE +/- 7495.26, N = 158087368307011. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Read While WritingGM-1000Run 1140K280K420K560K700KMin: 780815 / Avg: 808736.38 / Max: 840310Min: 792035 / Avg: 830701.27 / Max: 8908851. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

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 20200916Target: Vulkan GPU - Model: vgg16GM-1000Run 1816243240SE +/- 0.03, N = 3SE +/- 0.09, N = 333.3332.47MIN: 32.53 / MAX: 40.22MIN: 32.03 / MAX: 68.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16GM-1000Run 1714212835Min: 33.28 / Avg: 33.33 / Max: 33.36Min: 32.36 / Avg: 32.47 / Max: 32.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Kripke

Kripke is a simple, scalable, 3D Sn deterministic particle transport code. Its primary purpose is to research how data layout, programming paradigms and architectures effect the implementation and performance of Sn transport. Kripke is developed by LLNL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4GM-1000Run 15M10M15M20M25MSE +/- 42312.00, N = 3SE +/- 53251.01, N = 320889583214355231. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4GM-1000Run 14M8M12M16M20MMin: 20805700 / Avg: 20889583.33 / Max: 20941200Min: 21369090 / Avg: 21435523.33 / Max: 215408301. (CXX) g++ options: -O3 -fopenmp

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreGM-1000Run 1160320480640800732751

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreGM-1000Run 13006009001200150013721407

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoExtraGM-1000Run 10.74141.48282.22422.96563.707SE +/- 0.004, N = 3SE +/- 0.007, N = 9SE +/- 0.036, N = 73.2953.2143.221
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: NoExtraGM-1000Run 1246810Min: 3.29 / Avg: 3.29 / Max: 3.3Min: 3.19 / Avg: 3.21 / Max: 3.25Min: 3.18 / Avg: 3.22 / Max: 3.44

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 timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianGM-1000Run 1612182430SE +/- 0.28, N = 14SE +/- 0.25, N = 926.1225.48
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianGM-1000Run 1612182430Min: 22.58 / Avg: 26.11 / Max: 26.66Min: 23.49 / Avg: 25.47 / Max: 25.97

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreGM-1000Run 1140280420560700640656

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 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2GM-1000Run 10.6751.352.0252.73.375SE +/- 0.03, N = 3SE +/- 0.00, N = 33.002.93MIN: 2.89 / MAX: 3.84MIN: 2.89 / MAX: 3.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2GM-1000Run 1246810Min: 2.95 / Avg: 3 / Max: 3.04Min: 2.93 / Avg: 2.93 / Max: 2.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetGM-1000Run 1246810SE +/- 0.03, N = 3SE +/- 0.01, N = 37.847.66MIN: 7.62 / MAX: 10.98MIN: 7.62 / MAX: 7.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetGM-1000Run 13691215Min: 7.79 / Avg: 7.84 / Max: 7.88Min: 7.65 / Avg: 7.66 / Max: 7.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0GM-1000Run 11.17682.35363.53044.70725.884SE +/- 0.02, N = 3SE +/- 0.00, N = 35.235.11MIN: 5.06 / MAX: 5.95MIN: 5.04 / MAX: 5.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0GM-1000Run 1246810Min: 5.18 / Avg: 5.23 / Max: 5.26Min: 5.11 / Avg: 5.11 / Max: 5.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50GM-1000Run 13691215SE +/- 0.04, N = 3SE +/- 0.00, N = 313.2212.92MIN: 12.84 / MAX: 29.57MIN: 12.85 / MAX: 15.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50GM-1000Run 148121620Min: 13.15 / Avg: 13.22 / Max: 13.28Min: 12.92 / Avg: 12.92 / Max: 12.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18GM-1000Run 11.3052.613.9155.226.525SE +/- 0.01, N = 3SE +/- 0.00, N = 35.805.67MIN: 5.62 / MAX: 13.86MIN: 5.62 / MAX: 5.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18GM-1000Run 1246810Min: 5.79 / Avg: 5.8 / Max: 5.81Min: 5.67 / Avg: 5.67 / Max: 5.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsGM-1000Run 11428425670SE +/- 0.41, N = 3SE +/- 0.08, N = 360.3759.021. git version 2.27.0
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsGM-1000Run 11224364860Min: 59.56 / Avg: 60.37 / Max: 60.79Min: 58.94 / Avg: 59.02 / Max: 59.191. git version 2.27.0

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.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveGM-1000Run 1140280420560700SE +/- 0.59, N = 3SE +/- 0.80, N = 3631.69617.901. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveGM-1000Run 1110220330440550Min: 630.77 / Avg: 631.69 / Max: 632.79Min: 616.34 / Avg: 617.9 / Max: 619.011. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu ISO) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3ExtraGM-1000Run 18001600240032004000SE +/- 7.24, N = 3SE +/- 4.91, N = 3SE +/- 35.72, N = 33552.83601.73525.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3ExtraGM-1000Run 16001200180024003000Min: 3538.6 / Avg: 3552.83 / Max: 3562.3Min: 3596 / Avg: 3601.73 / Max: 3611.5Min: 3458.6 / Avg: 3525.57 / Max: 3580.61. (CC) gcc options: -O3 -pthread -lz -llzma

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 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3GM-1000Run 10.76281.52562.28843.05123.814SE +/- 0.03, N = 3SE +/- 0.00, N = 33.393.32MIN: 3.29 / MAX: 4.22MIN: 3.28 / MAX: 3.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3GM-1000Run 1246810Min: 3.34 / Avg: 3.39 / Max: 3.42Min: 3.32 / Avg: 3.32 / Max: 3.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Java Gradle Build

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

OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorExtraGM-1000Run 160120180240300SE +/- 1.90, N = 3SE +/- 3.29, N = 3SE +/- 3.36, N = 9277.15271.43272.52
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorExtraGM-1000Run 150100150200250Min: 273.53 / Avg: 277.15 / Max: 279.96Min: 267.43 / Avg: 271.43 / Max: 277.96Min: 254.3 / Avg: 272.52 / Max: 291.98

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkGM-1000Run 120406080100SE +/- 0.39, N = 3SE +/- 0.05, N = 380.3982.08MIN: 1 / MAX: 345MIN: 1 / MAX: 353
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkGM-1000Run 11632486480Min: 79.75 / Avg: 80.39 / Max: 81.08Min: 82 / Avg: 82.08 / Max: 82.17

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentGM-1000Run 1918273645SE +/- 0.48, N = 6SE +/- 0.57, N = 339.6138.79
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 10.3.1+dfsgProcessing 60 Page PDF DocumentGM-1000Run 1816243240Min: 37.2 / Avg: 39.61 / Max: 40.36Min: 37.65 / Avg: 38.79 / Max: 39.41

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyGM-1000Run 10.08780.17560.26340.35120.439SE +/- 0.003, N = 15SE +/- 0.003, N = 150.3900.3821. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Only - Average LatencyGM-1000Run 112345Min: 0.35 / Avg: 0.39 / Max: 0.4Min: 0.35 / Avg: 0.38 / Max: 0.391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

C-Blosc

A simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzExtraGM-1000Run 12K4K6K8K10KSE +/- 17.57, N = 3SE +/- 11.16, N = 4SE +/- 5.73, N = 38437.58600.48610.81. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzExtraGM-1000Run 115003000450060007500Min: 8407.9 / Avg: 8437.5 / Max: 8468.7Min: 8567.4 / Avg: 8600.43 / Max: 8614.6Min: 8600.3 / Avg: 8610.83 / Max: 86201. (CXX) g++ options: -rdynamic

PostgreSQL pgbench

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyGM-1000Run 130K60K90K120K150KSE +/- 1251.67, N = 15SE +/- 1095.46, N = 151283731309751. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read OnlyGM-1000Run 120K40K60K80K100KMin: 125521.71 / Avg: 128373.27 / Max: 144975.27Min: 127987.22 / Avg: 130974.62 / Max: 144962.181. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestGM-1000Run 15K10K15K20K25KSE +/- 339.20, N = 4SE +/- 298.07, N = 624110245881. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestGM-1000Run 14K8K12K16K20KMin: 23670 / Avg: 24110 / Max: 25117Min: 24175 / Avg: 24587.83 / Max: 260721. (CXX) g++ options: -pipe -lpthread

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 20200916Target: Vulkan GPU - Model: mnasnetGM-1000Run 10.69751.3952.09252.793.4875SE +/- 0.02, N = 3SE +/- 0.00, N = 33.103.04MIN: 3 / MAX: 4.16MIN: 2.99 / MAX: 3.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetGM-1000Run 1246810Min: 3.06 / Avg: 3.1 / Max: 3.13Min: 3.04 / Avg: 3.04 / Max: 3.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2ExtraGM-1000Run 18M16M24M32M40MSE +/- 307241.89, N = 3SE +/- 15338.08, N = 3SE +/- 46914.16, N = 335503304.436200967.736044892.9
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2ExtraGM-1000Run 16M12M18M24M30MMin: 35051667.9 / Avg: 35503304.4 / Max: 36089970.4Min: 36181160.5 / Avg: 36200967.7 / Max: 36231157.4Min: 35953351.2 / Avg: 36044892.9 / Max: 36108493.6

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080ExtraGM-1000Run 17001400210028003500337734423441

DaCapo Benchmark

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

OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonExtraGM-1000Run 111002200330044005500SE +/- 37.20, N = 4SE +/- 23.71, N = 6SE +/- 37.83, N = 4492648334870
OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 9.12-MR1Java Test: JythonExtraGM-1000Run 19001800270036004500Min: 4848 / Avg: 4925.75 / Max: 5010Min: 4762 / Avg: 4832.5 / Max: 4907Min: 4818 / Avg: 4869.5 / Max: 4982

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 20200916Target: Vulkan GPU - Model: squeezenetGM-1000Run 13691215SE +/- 0.00, N = 3SE +/- 0.01, N = 310.2710.08MIN: 9.98 / MAX: 10.78MIN: 9.92 / MAX: 10.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetGM-1000Run 13691215Min: 10.26 / Avg: 10.27 / Max: 10.27Min: 10.06 / Avg: 10.08 / Max: 10.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughGM-1000Run 120406080100SE +/- 1.07, N = 3SE +/- 0.54, N = 376.9875.581. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughGM-1000Run 11530456075Min: 74.85 / Avg: 76.98 / Max: 78.19Min: 74.51 / Avg: 75.58 / Max: 76.131. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileGM-1000Run 150100150200250SE +/- 0.47, N = 3SE +/- 0.16, N = 3212.65208.89
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileGM-1000Run 14080120160200Min: 211.76 / Avg: 212.65 / Max: 213.35Min: 208.65 / Avg: 208.89 / Max: 209.18

YafaRay

YafaRay is an open-source physically based montecarlo ray-tracing engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneGM-1000Run 180160240320400SE +/- 2.21, N = 3SE +/- 1.61, N = 3374.75368.311. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneGM-1000Run 170140210280350Min: 370.45 / Avg: 374.75 / Max: 377.78Min: 365.54 / Avg: 368.31 / Max: 371.111. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lpthread

PostMark

This is a test of NetApp's PostMark benchmark designed to simulate small-file testing similar to the tasks endured by web and mail servers. This test profile will set PostMark to perform 25,000 transactions with 500 files simultaneously with the file sizes ranging between 5 and 512 kilobytes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceExtraGM-1000Run 114002800420056007000SE +/- 56.00, N = 36466657865781. (CC) gcc options: -O3
OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceExtraGM-1000Run 111002200330044005500Min: 6410 / Avg: 6466 / Max: 65781. (CC) gcc options: -O3

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileGM-1000Run 14080120160200SE +/- 0.58, N = 3SE +/- 0.33, N = 3186189
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileGM-1000Run 1306090120150Min: 185 / Avg: 186 / Max: 187Min: 188 / Avg: 188.67 / Max: 189

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastGM-1000Run 1612182430SE +/- 0.24, N = 14SE +/- 0.27, N = 723.5423.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very FastGM-1000Run 1612182430Min: 23.26 / Avg: 23.54 / Max: 26.62Min: 23.58 / Avg: 23.91 / Max: 25.51. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestExtraGM-1000Run 160120180240300SE +/- 3.71, N = 3SE +/- 2.25, N = 3SE +/- 1.04, N = 3273.99269.93272.80
OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestExtraGM-1000Run 150100150200250Min: 269.1 / Avg: 273.99 / Max: 281.27Min: 266.32 / Avg: 269.93 / Max: 274.07Min: 271.32 / Avg: 272.8 / Max: 274.8

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCGM-1000Run 10.1530.3060.4590.6120.765SE +/- 0.01, N = 15SE +/- 0.01, N = 40.670.68MIN: 0.59 / MAX: 0.97MIN: 0.61 / MAX: 0.96
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCGM-1000Run 1246810Min: 0.65 / Avg: 0.67 / Max: 0.75Min: 0.66 / Avg: 0.68 / Max: 0.71

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileGM-1000Run 1714212835SE +/- 0.35, N = 7SE +/- 0.37, N = 632.1231.65
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileGM-1000Run 1714212835Min: 30 / Avg: 32.12 / Max: 32.56Min: 29.79 / Avg: 31.65 / Max: 32.1

dav1d

Dav1d is an open-source, speedy AV1 video decoder. This test profile times how long it takes to decode sample AV1 video content. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitGM-1000Run 120406080100SE +/- 0.61, N = 3SE +/- 0.16, N = 376.1777.24MIN: 47.76 / MAX: 187.8MIN: 48.58 / MAX: 189.841. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitGM-1000Run 11530456075Min: 75.47 / Avg: 76.17 / Max: 77.38Min: 77.06 / Avg: 77.24 / Max: 77.561. (CC) gcc options: -pthread

NAMD

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

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsExtraGM-1000Run 10.95341.90682.86023.81364.767SE +/- 0.00186, N = 3SE +/- 0.00286, N = 3SE +/- 0.00287, N = 34.237124.178684.19957
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsExtraGM-1000Run 1246810Min: 4.23 / Avg: 4.24 / Max: 4.24Min: 4.17 / Avg: 4.18 / Max: 4.18Min: 4.2 / Avg: 4.2 / Max: 4.21

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KGM-1000Run 1246810SE +/- 0.05, N = 3SE +/- 0.02, N = 36.536.621. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KGM-1000Run 13691215Min: 6.47 / Avg: 6.53 / Max: 6.64Min: 6.58 / Avg: 6.62 / Max: 6.661. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pGM-1000Run 10.01690.03380.05070.06760.0845SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0740.0751. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pGM-1000Run 112345Min: 0.07 / Avg: 0.07 / Max: 0.08Min: 0.07 / Avg: 0.07 / Max: 0.081. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

LuxCoreRender

LuxCoreRender is an open-source physically based renderer. This test profile is focused on running LuxCoreRender on the CPU as opposed to the OpenCL version. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismGM-1000Run 10.1710.3420.5130.6840.855SE +/- 0.01, N = 12SE +/- 0.01, N = 50.750.76MIN: 0.65 / MAX: 1.15MIN: 0.67 / MAX: 1.12
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismGM-1000Run 1246810Min: 0.73 / Avg: 0.75 / Max: 0.83Min: 0.74 / Avg: 0.76 / Max: 0.79

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkGM-1000Run 10.12150.2430.36450.4860.6075SE +/- 0.001, N = 3SE +/- 0.002, N = 30.5330.5401. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkGM-1000Run 1246810Min: 0.53 / Avg: 0.53 / Max: 0.54Min: 0.54 / Avg: 0.54 / Max: 0.541. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmGM-1000Run 1714212835SE +/- 0.20, N = 3SE +/- 0.03, N = 328.9328.57
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmGM-1000Run 1612182430Min: 28.67 / Avg: 28.93 / Max: 29.31Min: 28.54 / Avg: 28.57 / Max: 28.62

Timed LLVM Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileGM-1000Run 130060090012001500SE +/- 1.30, N = 3SE +/- 3.20, N = 31604.061584.23
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileGM-1000Run 130060090012001500Min: 1602.47 / Avg: 1604.06 / Max: 1606.63Min: 1579.87 / Avg: 1584.23 / Max: 1590.47

librsvg

RSVG/librsvg is an SVG vector graphics library. This test profile times how long it takes to complete various operations by rsvg-convert. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGGM-1000Run 1612182430SE +/- 0.42, N = 3SE +/- 0.34, N = 424.6324.351. rsvg-convert version 2.50.1
OpenBenchmarking.orgSeconds, Fewer Is BetterlibrsvgOperation: SVG Files To PNGGM-1000Run 1612182430Min: 24.21 / Avg: 24.63 / Max: 25.48Min: 23.95 / Avg: 24.35 / Max: 25.361. rsvg-convert version 2.50.1

BRL-CAD

BRL-CAD 7.28.0 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 7.30.8VGR Performance MetricGM-1000Run 19K18K27K36K45K43138426491. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lGLU -lGL -lGLdispatch -lX11 -lXext -lpthread -ldl -luuid -lm

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goGM-1000Run 160120180240300SE +/- 1.67, N = 3270267
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goGM-1000Run 150100150200250Min: 267 / Avg: 270.33 / Max: 272

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5GM-1000Run 1510152025SE +/- 0.20, N = 8SE +/- 0.30, N = 319.6519.871. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 5GM-1000Run 1510152025Min: 19.38 / Avg: 19.65 / Max: 21.02Min: 19.48 / Avg: 19.87 / Max: 20.471. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonGM-1000Run 1100200300400500SE +/- 2.73, N = 3SE +/- 0.58, N = 3462457
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonGM-1000Run 180160240320400Min: 457 / Avg: 462.33 / Max: 466Min: 456 / Avg: 457 / Max: 458

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileGM-1000Run 1306090120150SE +/- 0.70, N = 3SE +/- 0.36, N = 3155.40153.82
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileGM-1000Run 1306090120150Min: 154.06 / Avg: 155.39 / Max: 156.42Min: 153.13 / Avg: 153.82 / Max: 154.32

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.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastGM-1000Run 1246810SE +/- 0.01, N = 6SE +/- 0.00, N = 37.937.851. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastGM-1000Run 13691215Min: 7.9 / Avg: 7.93 / Max: 7.98Min: 7.85 / Avg: 7.85 / Max: 7.861. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumGM-1000Run 10.45230.90461.35691.80922.2615SE +/- 0.01, N = 3SE +/- 0.01, N = 31.992.011. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: MediumGM-1000Run 1246810Min: 1.97 / Avg: 1.99 / Max: 2.01Min: 2 / Avg: 2.01 / Max: 2.021. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessExtraGM-1000Run 1510152025SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 320.9921.2021.121. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessExtraGM-1000Run 1510152025Min: 20.84 / Avg: 20.99 / Max: 21.06Min: 21.18 / Avg: 21.2 / Max: 21.21Min: 21.11 / Avg: 21.12 / Max: 21.141. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkGM-1000Run 170140210280350SE +/- 0.61, N = 3SE +/- 0.38, N = 3322.07319.04
OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkGM-1000Run 160120180240300Min: 321.05 / Avg: 322.07 / Max: 323.15Min: 318.29 / Avg: 319.04 / Max: 319.54

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadGM-1000Run 15M10M15M20M25MSE +/- 338773.40, N = 4SE +/- 309204.37, N = 324616331248370761. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random ReadGM-1000Run 14M8M12M16M20MMin: 24244615 / Avg: 24616331 / Max: 25631808Min: 24508049 / Avg: 24837076.33 / Max: 254550521. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastGM-1000Run 13691215SE +/- 0.15, N = 4SE +/- 0.13, N = 310.3810.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra FastGM-1000Run 13691215Min: 10.22 / Avg: 10.38 / Max: 10.81Min: 10.32 / Avg: 10.47 / Max: 10.731. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadGM-1000Run 11.07752.1553.23254.315.3875SE +/- 0.022, N = 8SE +/- 0.075, N = 34.7484.7891. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadGM-1000Run 1246810Min: 4.65 / Avg: 4.75 / Max: 4.82Min: 4.68 / Avg: 4.79 / Max: 4.931. (CXX) g++ options: -O3 -lsnappy -lpthread

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosGM-1000Run 1306090120150SE +/- 1.00, N = 3117116
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosGM-1000Run 120406080100Min: 115 / Avg: 117 / Max: 118

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 0.7.3Encoder Speed: 2GM-1000Run 120406080100SE +/- 1.76, N = 3SE +/- 0.67, N = 3110.74109.811. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2GM-1000Run 120406080100Min: 107.37 / Avg: 110.74 / Max: 113.32Min: 108.51 / Avg: 109.81 / Max: 110.741. (CXX) g++ options: -O3 -fPIC

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatGM-1000Run 1306090120150122121

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pGM-1000Run 1714212835SE +/- 0.37, N = 13SE +/- 0.33, N = 831.4231.661. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pGM-1000Run 1714212835Min: 30.88 / Avg: 31.42 / Max: 35.8Min: 31.27 / Avg: 31.66 / Max: 33.971. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastGM-1000Run 11.27352.5473.82055.0946.3675SE +/- 0.06, N = 3SE +/- 0.04, N = 35.625.661. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very FastGM-1000Run 1246810Min: 5.56 / Avg: 5.62 / Max: 5.74Min: 5.61 / Avg: 5.66 / Max: 5.731. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsGM-1000Run 1714212835SE +/- 0.03, N = 3SE +/- 0.03, N = 328.428.6
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsGM-1000Run 1612182430Min: 28.4 / Avg: 28.43 / Max: 28.5Min: 28.5 / Avg: 28.57 / Max: 28.6

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUGM-1000Run 10.98661.97322.95983.94644.933SE +/- 0.04995, N = 4SE +/- 0.03755, N = 124.385024.35496MIN: 4.02MIN: 3.911. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUGM-1000Run 1246810Min: 4.24 / Avg: 4.39 / Max: 4.45Min: 3.94 / Avg: 4.35 / Max: 4.411. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUGM-1000Run 11.33032.66063.99095.32126.6515SE +/- 0.05068, N = 15SE +/- 0.03696, N = 35.912395.87350MIN: 4.17MIN: 4.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUGM-1000Run 1246810Min: 5.21 / Avg: 5.91 / Max: 5.99Min: 5.84 / Avg: 5.87 / Max: 5.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionGM-1000Run 10.70651.4132.11952.8263.5325SE +/- 0.03, N = 15SE +/- 0.04, N = 153.143.12
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionGM-1000Run 1246810Min: 2.97 / Avg: 3.14 / Max: 3.34Min: 2.92 / Avg: 3.12 / Max: 3.36

Timed PHP Compilation

This test times how long it takes to build PHP 7. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileGM-1000Run 1306090120150SE +/- 0.58, N = 3SE +/- 0.10, N = 3114.80114.07
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileGM-1000Run 120406080100Min: 113.64 / Avg: 114.8 / Max: 115.38Min: 113.87 / Avg: 114.07 / Max: 114.22

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 timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointGM-1000Run 120406080100SE +/- 1.25, N = 3SE +/- 0.77, N = 397.1496.53
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointGM-1000Run 120406080100Min: 94.65 / Avg: 97.13 / Max: 98.61Min: 95.03 / Avg: 96.53 / Max: 97.62

SVT-AV1

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-AV1 CPU-based multi-threaded video encoder for the AV1 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pGM-1000Run 10.32740.65480.98221.30961.637SE +/- 0.025, N = 3SE +/- 0.015, N = 31.4461.4551. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pGM-1000Run 1246810Min: 1.42 / Avg: 1.45 / Max: 1.5Min: 1.44 / Avg: 1.45 / Max: 1.491. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

VP9 libvpx Encoding

This is a standard video encoding performance test of Google's libvpx library and the vpxenc command for the VP9/WebM format using a sample 1080p video. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0GM-1000Run 11.14532.29063.43594.58125.7265SE +/- 0.03, N = 3SE +/- 0.04, N = 35.095.061. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11
OpenBenchmarking.orgFrames Per Second, More Is BetterVP9 libvpx Encoding 1.8.2Speed: Speed 0GM-1000Run 1246810Min: 5.05 / Avg: 5.09 / Max: 5.15Min: 5.02 / Avg: 5.06 / Max: 5.131. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=c++11

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateGM-1000Run 11224364860SE +/- 0.15, N = 3SE +/- 0.06, N = 352.352.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateGM-1000Run 11020304050Min: 52.1 / Avg: 52.3 / Max: 52.6Min: 51.9 / Avg: 52 / Max: 52.1

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchExtraGM-1000Run 1306090120150SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3131.99131.25131.271. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchExtraGM-1000Run 120406080100Min: 131.76 / Avg: 131.99 / Max: 132.22Min: 131.21 / Avg: 131.25 / Max: 131.29Min: 131.18 / Avg: 131.27 / Max: 131.381. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesGM-1000Run 1612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 327.1126.96
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesGM-1000Run 1612182430Min: 27.06 / Avg: 27.11 / Max: 27.13Min: 26.95 / Avg: 26.96 / Max: 26.99

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibGM-1000Run 1510152025SE +/- 0.00, N = 3SE +/- 0.00, N = 319.319.4
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibGM-1000Run 1510152025Min: 19.3 / Avg: 19.3 / Max: 19.3Min: 19.4 / Avg: 19.4 / Max: 19.4

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.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100ExtraGM-1000Run 10.62871.25741.88612.51483.1435SE +/- 0.001, N = 3SE +/- 0.001, N = 9SE +/- 0.005, N = 32.7812.7802.7941. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100ExtraGM-1000Run 1246810Min: 2.78 / Avg: 2.78 / Max: 2.78Min: 2.78 / Avg: 2.78 / Max: 2.78Min: 2.78 / Avg: 2.79 / Max: 2.81. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28GM-1000Run 1714212835SE +/- 0.17, N = 3SE +/- 0.05, N = 329.1028.961. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28GM-1000Run 1612182430Min: 28.92 / Avg: 29.1 / Max: 29.44Min: 28.87 / Avg: 28.96 / Max: 29.041. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionExtraGM-1000Run 1246810SE +/- 0.005, N = 3SE +/- 0.007, N = 5SE +/- 0.035, N = 38.5548.5728.5931. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionExtraGM-1000Run 13691215Min: 8.55 / Avg: 8.55 / Max: 8.56Min: 8.55 / Avg: 8.57 / Max: 8.58Min: 8.55 / Avg: 8.59 / Max: 8.661. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsExtraGM-1000Run 1510152025SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 322.2522.1522.20
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsExtraGM-1000Run 1510152025Min: 22.19 / Avg: 22.25 / Max: 22.35Min: 22 / Avg: 22.14 / Max: 22.23Min: 22.01 / Avg: 22.2 / Max: 22.37

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.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionExtraGM-1000Run 11122334455SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.15, N = 347.1946.9846.981. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionExtraGM-1000Run 11020304050Min: 47.14 / Avg: 47.19 / Max: 47.23Min: 46.81 / Avg: 46.98 / Max: 47.09Min: 46.71 / Avg: 46.98 / Max: 47.231. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

PostgreSQL pgbench

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

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyGM-1000Run 15K10K15K20K25KSE +/- 159.81, N = 3SE +/- 169.75, N = 324862249711. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read OnlyGM-1000Run 14K8K12K16K20KMin: 24664.47 / Avg: 24861.59 / Max: 25178.04Min: 24733.65 / Avg: 24970.94 / Max: 25299.851. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0GM-1000Run 14080120160200SE +/- 0.11, N = 3SE +/- 1.18, N = 3190.82191.631. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0GM-1000Run 14080120160200Min: 190.69 / Avg: 190.82 / Max: 191.04Min: 190.35 / Avg: 191.63 / Max: 193.991. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10GM-1000Run 1246810SE +/- 0.007, N = 7SE +/- 0.002, N = 36.2836.2571. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10GM-1000Run 13691215Min: 6.25 / Avg: 6.28 / Max: 6.31Min: 6.25 / Avg: 6.26 / Max: 6.261. (CXX) g++ options: -O3 -fPIC

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATGM-1000Run 180M160M240M320M400MSE +/- 534147.70, N = 3SE +/- 196130.98, N = 3360309999.32361795957.641. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATGM-1000Run 160M120M180M240M300MMin: 359505128.58 / Avg: 360309999.32 / Max: 361320775.57Min: 361411904.55 / Avg: 361795957.64 / Max: 362057118.081. (CC) gcc options: -O3 -march=native -lm

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000Run 1612182430SE +/- 0.33, N = 5SE +/- 0.25, N = 927.2027.101. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000Run 1612182430Min: 26.18 / Avg: 27.2 / Max: 28.14Min: 25.8 / Avg: 27.1 / Max: 27.971. (CXX) g++ options: -O3 -lsnappy -lpthread

rays1bench

This is a test of rays1bench, a simple path-tracer / ray-tracing that supports SSE and AVX instructions, multi-threading, and other features. This test profile is measuring the performance of the "large scene" in rays1bench. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneGM-1000Run 1510152025SE +/- 0.19, N = 3SE +/- 0.01, N = 319.7419.81
OpenBenchmarking.orgmrays/s, More Is Betterrays1bench 2020-01-09Large SceneGM-1000Run 1510152025Min: 19.54 / Avg: 19.74 / Max: 20.12Min: 19.79 / Avg: 19.81 / Max: 19.83

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000Run 1816243240SE +/- 0.41, N = 5SE +/- 0.31, N = 932.532.61. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillGM-1000Run 1714212835Min: 31.4 / Avg: 32.52 / Max: 33.8Min: 31.6 / Avg: 32.6 / Max: 34.21. (CXX) g++ options: -O3 -lsnappy -lpthread

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.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultExtraGM-1000Run 10.39580.79161.18741.58321.979SE +/- 0.001, N = 3SE +/- 0.003, N = 11SE +/- 0.002, N = 31.7541.7591.7571. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultExtraGM-1000Run 1246810Min: 1.75 / Avg: 1.75 / Max: 1.76Min: 1.75 / Avg: 1.76 / Max: 1.78Min: 1.76 / Avg: 1.76 / Max: 1.761. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16GM-1000Run 1100K200K300K400K500KSE +/- 3781.40, N = 3SE +/- 2753.95, N = 3458524.51459827.531. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16GM-1000Run 180K160K240K320K400KMin: 454149.5 / Avg: 458524.51 / Max: 466054.44Min: 456124.57 / Avg: 459827.53 / Max: 465210.131. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3GM-1000Run 180160240320400352353

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupGM-1000Run 13691215SE +/- 0.06, N = 3SE +/- 0.00, N = 39.018.99
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupGM-1000Run 13691215Min: 8.91 / Avg: 9.01 / Max: 9.13Min: 8.99 / Avg: 8.99 / Max: 9

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumGM-1000Run 13691215SE +/- 0.15, N = 3SE +/- 0.08, N = 39.019.031. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: MediumGM-1000Run 13691215Min: 8.86 / Avg: 9.01 / Max: 9.3Min: 8.95 / Avg: 9.03 / Max: 9.191. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

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 0.7.3Encoder Speed: 8GM-1000Run 1246810SE +/- 0.014, N = 6SE +/- 0.001, N = 36.6726.6581. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8GM-1000Run 13691215Min: 6.65 / Avg: 6.67 / Max: 6.73Min: 6.66 / Avg: 6.66 / Max: 6.661. (CXX) g++ options: -O3 -fPIC

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceGM-1000Run 1110220330440550SE +/- 0.67, N = 3505506
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceGM-1000Run 190180270360450Min: 504 / Avg: 505.33 / Max: 506

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0GM-1000Run 1246810SE +/- 0.022, N = 6SE +/- 0.016, N = 58.0078.015
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 5.2.0GM-1000Run 13691215Min: 7.98 / Avg: 8.01 / Max: 8.12Min: 7.99 / Avg: 8.02 / Max: 8.08

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1GM-1000Run 180160240320400SE +/- 0.13, N = 3SE +/- 0.10, N = 3362.13361.90MIN: 361.7 / MAX: 362.7MIN: 361.63 / MAX: 362.291. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1GM-1000Run 160120180240300Min: 361.9 / Avg: 362.13 / Max: 362.35Min: 361.78 / Avg: 361.9 / Max: 362.11. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries 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 EntropyGM-1000Run 11122334455SE +/- 0.44, N = 12SE +/- 0.45, N = 1049.5049.47
OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyGM-1000Run 11020304050Min: 44.92 / Avg: 49.5 / Max: 50.61Min: 45.87 / Avg: 49.47 / Max: 50.96

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesGM-1000Run 1306090120150SE +/- 0.33, N = 3116116
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesGM-1000Run 120406080100Min: 115 / Avg: 115.67 / Max: 116

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyGM-1000Run 1306090120150SE +/- 0.33, N = 3138138
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyGM-1000Run 1306090120150Min: 138 / Avg: 138.33 / Max: 139

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyGM-1000Run 10.0090.0180.0270.0360.045SE +/- 0.000, N = 3SE +/- 0.000, N = 30.0400.0401. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Only - Average LatencyGM-1000Run 112345Min: 0.04 / Avg: 0.04 / Max: 0.04Min: 0.04 / Avg: 0.04 / Max: 0.041. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

Polyhedron Fortran Benchmarks

The Fortran.uk Polyhedron Fortran Benchmarks for comparing Fortran compiler performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mp_prop_designRun 1153045607567.82

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: test_fpu2Run 191827364539.13

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: gas_dyn2Run 1132639526558.95

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: fatigue2Run 1122436486054.48

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: channel2Run 1132639526555.78

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: capacitaRun 1369121512.47

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: proteinRun 14812162016.94

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: induct2Run 151015202520.05

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: rnflowRun 14812162017.84

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: aermodRun 12468106.63

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: tfft2Run 151015202522.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: linpkRun 10.68631.37262.05892.74523.43153.05

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: doducRun 12468108.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: mdbxRun 11.19932.39863.59794.79725.99655.33

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: airRun 10.54451.0891.63352.1782.72252.42

OpenBenchmarking.orgSeconds, Fewer Is BetterPolyhedron Fortran BenchmarksBenchmark: acRun 12468106.01

System Temperature Monitor

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringGM-10001530456075Min: 54 / Avg: 71.36 / Max: 76

CPU Temperature Monitor

OpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringGM-10001632486480Min: 49 / Avg: 67.98 / Max: 82

Facebook RocksDB

MinAvgMaxGM-100064.064.765.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6System Temperature Monitor20406080100

MinAvgMaxGM-100055.057.662.0OpenBenchmarking.orgCelsius, Fewer Is BetterFacebook RocksDB 6.3.6CPU Temperature Monitor20406080100

ASTC Encoder

MinAvgMaxGM-100064.071.075.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0System Temperature Monitor20406080100

MinAvgMaxGM-100059.068.576.0OpenBenchmarking.orgCelsius, Fewer Is BetterASTC Encoder 2.0CPU Temperature Monitor20406080100

PostgreSQL pgbench

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000142842567064.0

MinAvgMaxGM-100058.059.060.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480

OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0System Temperature MonitorGM-1000142842567064.0

MinAvgMaxGM-100058.058.960.0OpenBenchmarking.orgCelsius, Fewer Is BetterPostgreSQL pgbench 13.0CPU Temperature Monitor1632486480

LevelDB

OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22System Temperature MonitorGM-1000142842567064.0

MinAvgMaxGM-100058.058.760.0OpenBenchmarking.orgCelsius, Fewer Is BetterLevelDB 1.22CPU Temperature Monitor1632486480

OpenSSL

MinAvgMaxGM-100064.072.375.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1System Temperature Monitor20406080100

MinAvgMaxGM-100058.067.276.0OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1CPU Temperature Monitor20406080100

eSpeak-NG Speech Engine

OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907System Temperature MonitorGM-1000142842567064.0

MinAvgMaxGM-100059.068.671.0OpenBenchmarking.orgCelsius, Fewer Is BettereSpeak-NG Speech Engine 20200907CPU Temperature Monitor20406080100

SVT-VP9

MinAvgMaxGM-100064.071.275.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100

MinAvgMaxGM-100061.068.678.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100

MinAvgMaxGM-100064.070.475.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1System Temperature Monitor20406080100

MinAvgMaxGM-100061.068.677.0OpenBenchmarking.orgCelsius, Fewer Is BetterSVT-VP9 0.1CPU Temperature Monitor20406080100

Kvazaar

MinAvgMaxGM-100064.072.375.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0System Temperature Monitor20406080100

MinAvgMaxGM-100061.068.678.0OpenBenchmarking.orgCelsius, Fewer Is BetterKvazaar 2.0CPU Temperature Monitor20406080100

oneDNN

MinAvgMaxGM-100064.072.575.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

MinAvgMaxGM-100061.068.479.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100

MinAvgMaxGM-100064.072.475.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5System Temperature Monitor20406080100

MinAvgMaxGM-100061.068.278.0OpenBenchmarking.orgCelsius, Fewer Is BetteroneDNN 1.5CPU Temperature Monitor20406080100

Facebook RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncGM-1000Run 18001600240032004000SE +/- 40.71, N = 15SE +/- 66.63, N = 15347335021. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread
OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 6.3.6Test: Random Fill SyncGM-1000Run 16001200180024003000Min: 3180 / Avg: 3472.73 / Max: 3760Min: 3180 / Avg: 3501.53 / Max: 40131. (CXX) g++ options: -O3 -march=native -std=c++11 -fno-builtin-memcmp -fno-rtti -rdynamic -lpthread

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 20200916Target: CPU - Model: googlenetGM-1000Run 1612182430SE +/- 0.96, N = 3SE +/- 0.02, N = 323.9923.16MIN: 17.71 / MAX: 26.79MIN: 21.99 / MAX: 34.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetGM-1000Run 1612182430Min: 22.09 / Avg: 23.99 / Max: 25.19Min: 23.13 / Avg: 23.16 / Max: 23.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceGM-1000Run 10.49050.9811.47151.9622.4525SE +/- 0.24, N = 3SE +/- 0.01, N = 32.072.18MIN: 1.46 / MAX: 3.26MIN: 2.01 / MAX: 2.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceGM-1000Run 1246810Min: 1.58 / Avg: 2.07 / Max: 2.32Min: 2.16 / Avg: 2.18 / Max: 2.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0GM-1000Run 13691215SE +/- 1.08, N = 3SE +/- 0.05, N = 310.2510.66MIN: 7.48 / MAX: 13.2MIN: 9.94 / MAX: 11.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0GM-1000Run 13691215Min: 8.09 / Avg: 10.25 / Max: 11.34Min: 10.58 / Avg: 10.66 / Max: 10.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetGM-1000Run 1246810SE +/- 0.81, N = 3SE +/- 0.73, N = 36.906.48MIN: 4.78 / MAX: 16.69MIN: 4.85 / MAX: 8.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetGM-1000Run 13691215Min: 5.29 / Avg: 6.9 / Max: 7.71Min: 5.02 / Avg: 6.48 / Max: 7.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2GM-1000Run 11.20382.40763.61144.81526.019SE +/- 0.61, N = 3SE +/- 0.37, N = 35.355.21MIN: 3.72 / MAX: 14MIN: 4.42 / MAX: 6.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2GM-1000Run 1246810Min: 4.13 / Avg: 5.35 / Max: 5.98Min: 4.48 / Avg: 5.21 / Max: 5.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3GM-1000Run 1246810SE +/- 0.69, N = 3SE +/- 0.58, N = 36.516.12MIN: 4.68 / MAX: 9.07MIN: 4.76 / MAX: 8.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3GM-1000Run 13691215Min: 5.14 / Avg: 6.51 / Max: 7.2Min: 4.97 / Avg: 6.12 / Max: 6.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by ALibaba. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0GM-1000Run 1246810SE +/- 0.617, N = 3SE +/- 0.215, N = 37.7837.485MIN: 4.59 / MAX: 20.89MIN: 4.55 / MAX: 14.651. (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 2020-09-17Model: mobilenet-v1-1.0GM-1000Run 13691215Min: 6.55 / Avg: 7.78 / Max: 8.4Min: 7.05 / Avg: 7.48 / Max: 7.711. (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 2020-09-17Model: MobileNetV2_224GM-1000Run 11.05822.11643.17464.23285.291SE +/- 0.368, N = 3SE +/- 0.293, N = 34.7034.326MIN: 3.43 / MAX: 12.11MIN: 3.46 / MAX: 10.61. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224GM-1000Run 1246810Min: 3.97 / Avg: 4.7 / Max: 5.12Min: 3.74 / Avg: 4.33 / Max: 4.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumGM-1000Run 13691215SE +/- 0.16, N = 15SE +/- 0.15, N = 159.919.571. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumGM-1000Run 13691215Min: 7.99 / Avg: 9.91 / Max: 10.16Min: 7.94 / Avg: 9.57 / Max: 9.861. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

PostgreSQL pgbench

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

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyGM-1000Run 11632486480SE +/- 0.31, N = 3SE +/- 2.85, N = 1568.9071.461. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read Write - Average LatencyGM-1000Run 11428425670Min: 68.28 / Avg: 68.9 / Max: 69.29Min: 61.42 / Avg: 71.46 / Max: 94.391. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteGM-1000Run 1160320480640800SE +/- 3.31, N = 3SE +/- 25.15, N = 157267141. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 50 - Mode: Read WriteGM-1000Run 1130260390520650Min: 721.69 / Avg: 725.84 / Max: 732.38Min: 529.79 / Avg: 713.79 / Max: 814.181. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyGM-1000Run 10.47750.9551.43251.912.3875SE +/- 0.018, N = 3SE +/- 0.128, N = 121.9882.1221. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgms, Fewer Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read Write - Average LatencyGM-1000Run 1246810Min: 1.95 / Avg: 1.99 / Max: 2.02Min: 1.38 / Avg: 2.12 / Max: 2.621. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteGM-1000Run 1110220330440550SE +/- 4.74, N = 3SE +/- 35.12, N = 125034941. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm
OpenBenchmarking.orgTPS, More Is BetterPostgreSQL pgbench 13.0Scaling Factor: 1 - Clients: 1 - Mode: Read WriteGM-1000Run 190180270360450Min: 495.71 / Avg: 503.09 / Max: 511.93Min: 381.52 / Avg: 494.19 / Max: 725.761. (CC) gcc options: -fno-strict-aliasing -fwrapv -O2 -lpgcommon -lpgport -lpq -lpthread -lrt -ldl -lm

LevelDB

LevelDB is a key-value storage library developed by Google that supports making use of Snappy for data compression and has other modern features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncGM-1000Run 16001200180024003000SE +/- 8.65, N = 10SE +/- 194.67, N = 152260.152630.531. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncGM-1000Run 15001000150020002500Min: 2218.02 / Avg: 2260.15 / Max: 2294.61Min: 2096.97 / Avg: 2630.53 / Max: 3963.511. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncGM-1000Run 10.090.180.270.360.45SE +/- 0.00, N = 10SE +/- 0.02, N = 150.40.31. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncGM-1000Run 112345Min: 0.4 / Avg: 0.4 / Max: 0.4Min: 0.2 / Avg: 0.34 / Max: 0.41. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceGM-1000Run 130060090012001500SE +/- 29.90, N = 15SE +/- 26.50, N = 151492.71519.41. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceGM-1000Run 130060090012001500Min: 1440.2 / Avg: 1492.68 / Max: 1909.1Min: 1457.3 / Avg: 1519.43 / Max: 18881. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisGM-1000Run 1918273645SE +/- 0.19, N = 4SE +/- 0.61, N = 2033.3837.451. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisGM-1000Run 1816243240Min: 32.84 / Avg: 33.38 / Max: 33.67Min: 31.27 / Avg: 37.45 / Max: 41.091. (CC) gcc options: -O2 -std=c99

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample 1080p YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pGM-1000Run 120406080100SE +/- 1.58, N = 15SE +/- 1.33, N = 1580.0680.361. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: Visual Quality Optimized - Input: Bosphorus 1080pGM-1000Run 11530456075Min: 77.55 / Avg: 80.06 / Max: 98.98Min: 78.63 / Avg: 80.36 / Max: 98.911. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pGM-1000Run 120406080100SE +/- 1.68, N = 15SE +/- 1.32, N = 15107.79108.181. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: PSNR/SSIM Optimized - Input: Bosphorus 1080pGM-1000Run 120406080100Min: 104.13 / Avg: 107.79 / Max: 124.02Min: 105.65 / Avg: 108.18 / Max: 122.551. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastGM-1000Run 11020304050SE +/- 0.87, N = 15SE +/- 0.52, N = 1344.4544.901. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra FastGM-1000Run 1918273645Min: 43.3 / Avg: 44.45 / Max: 56.57Min: 44.28 / Avg: 44.9 / Max: 51.181. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 11.16852.3373.50554.6745.8425SE +/- 0.10663, N = 12SE +/- 0.10124, N = 15SE +/- 0.11241, N = 125.193284.840054.68195MIN: 3.68MIN: 3.33MIN: 3.251. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUExtraGM-1000Run 1246810Min: 4.02 / Avg: 5.19 / Max: 5.36Min: 3.42 / Avg: 4.84 / Max: 4.98Min: 3.45 / Avg: 4.68 / Max: 4.81. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUExtraGM-1000Run 13691215SE +/- 0.27922, N = 12SE +/- 0.22450, N = 15SE +/- 0.24013, N = 1211.349879.533248.43494MIN: 7.03MIN: 6.67MIN: 5.381. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUExtraGM-1000Run 13691215Min: 8.35 / Avg: 11.35 / Max: 11.89Min: 6.94 / Avg: 9.53 / Max: 10.46Min: 5.82 / Avg: 8.43 / Max: 8.911. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

IOR

IOR is a parallel I/O storage benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestExtraGM-1000Run 1130260390520650SE +/- 23.14, N = 15SE +/- 32.44, N = 15SE +/- 20.22, N = 12465.18461.45613.58MIN: 16.83 / MAX: 823.5MIN: 18.41 / MAX: 691.92MIN: 9.06 / MAX: 870.731. (CC) gcc options: -O2 -lm -pthread -lmpi
OpenBenchmarking.orgMB/s, More Is BetterIOR 3.2.1Write TestExtraGM-1000Run 1110220330440550Min: 348.59 / Avg: 465.18 / Max: 619.12Min: 308.94 / Avg: 461.45 / Max: 626.34Min: 393.29 / Avg: 613.58 / Max: 658.221. (CC) gcc options: -O2 -lm -pthread -lmpi

242 Results Shown

oneDNN:
  Deconvolution Batch deconv_3d - f32 - CPU
  Deconvolution Batch deconv_1d - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
Facebook RocksDB
oneDNN
Facebook RocksDB
Mobile Neural Network
NCNN
Mobile Neural Network
NCNN:
  CPU - resnet18
  CPU-v2-v2 - mobilenet-v2
Incompact3D
NCNN:
  CPU - mobilenet
  CPU - squeezenet
  CPU - vgg16
  CPU - yolov4-tiny
LevelDB:
  Overwrite:
    Microseconds Per Op
    MB/s
LeelaChessZero
Mobile Neural Network
LeelaChessZero
oneDNN
NCNN
Apache Cassandra
Caffe:
  GoogleNet - CPU - 200
  GoogleNet - CPU - 100
John The Ripper
NCNN
Intel Open Image Denoise
TensorFlow Lite
Mlpack Benchmark
Monte Carlo Simulations of Ionised Nebulae
Caffe
Zstd Compression
IOR
LibRaw
John The Ripper
TensorFlow Lite
DaCapo Benchmark
NCNN
LevelDB
LAMMPS Molecular Dynamics Simulator
LevelDB
Caffe
TensorFlow Lite
oneDNN
NCNN
RealSR-NCNN
TensorFlow Lite
High Performance Conjugate Gradient
LevelDB
dav1d
RealSR-NCNN
dav1d
TensorFlow Lite
dav1d
TensorFlow Lite
Timed MAFFT Alignment
oneDNN
RawTherapee
LevelDB
Waifu2x-NCNN Vulkan
oneDNN
Hugin
LevelDB
oneDNN
Mlpack Benchmark
TNN
Numenta Anomaly Benchmark
DaCapo Benchmark
NCNN
FFTE
DaCapo Benchmark
NCNN
Facebook RocksDB
NCNN
Kripke
AI Benchmark Alpha:
  Device Training Score
  Device AI Score
Waifu2x-NCNN Vulkan
Numenta Anomaly Benchmark
AI Benchmark Alpha
NCNN:
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU - googlenet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - resnet50
  Vulkan GPU - resnet18
Git
ASTC Encoder
Zstd Compression
NCNN
Java Gradle Build
OpenVKL
OCRMyPDF
PostgreSQL pgbench
C-Blosc
PostgreSQL pgbench
7-Zip Compression
NCNN
BYTE Unix Benchmark
GLmark2
DaCapo Benchmark
NCNN
ASTC Encoder
Timed Linux Kernel Compilation
YafaRay
PostMark
PyPerformance
Kvazaar
WireGuard + Linux Networking Stack Stress Test
LuxCoreRender
Timed Apache Compilation
dav1d
NAMD
x265
SVT-AV1
LuxCoreRender
GROMACS
Mlpack Benchmark
Timed LLVM Compilation
librsvg
BRL-CAD
PyPerformance
VP9 libvpx Encoding
PyPerformance
Timed GDB GNU Debugger Compilation
ASTC Encoder
Kvazaar
WebP Image Encode
Numpy Benchmark
Facebook RocksDB
Kvazaar
LevelDB
PyPerformance
libavif avifenc
PyPerformance
x265
Kvazaar
PyPerformance
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
Mlpack Benchmark
Timed PHP Compilation
Numenta Anomaly Benchmark
SVT-AV1
VP9 libvpx Encoding
PyPerformance
Timed HMMer Search
Tesseract OCR
PyPerformance
WebP Image Encode
RNNoise
WebP Image Encode
Dolfyn
WebP Image Encode
PostgreSQL pgbench
libavif avifenc:
  0
  10
Hierarchical INTegration
LevelDB
rays1bench
LevelDB
WebP Image Encode
KeyDB
PyPerformance:
  2to3
  python_startup
Kvazaar
libavif avifenc
PyPerformance
GNU Octave Benchmark
TNN
Numenta Anomaly Benchmark
PyPerformance:
  crypto_pyaes
  nbody
PostgreSQL pgbench
Polyhedron Fortran Benchmarks:
  mp_prop_design
  test_fpu2
  gas_dyn2
  fatigue2
  channel2
  capacita
  protein
  induct2
  rnflow
  aermod
  tfft2
  linpk
  doduc
  mdbx
  air
  ac
System Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
  System Temp Monitor:
    Celsius
  CPU Temp Monitor:
    Celsius
Facebook RocksDB
NCNN:
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
Mobile Neural Network:
  mobilenet-v1-1.0
  MobileNetV2_224
ASTC Encoder
PostgreSQL pgbench:
  1 - 50 - Read Write - Average Latency
  1 - 50 - Read Write
  1 - 1 - Read Write - Average Latency
  1 - 1 - Read Write
LevelDB:
  Fill Sync:
    Microseconds Per Op
    MB/s
OpenSSL
eSpeak-NG Speech Engine
SVT-VP9:
  Visual Quality Optimized - Bosphorus 1080p
  PSNR/SSIM Optimized - Bosphorus 1080p
Kvazaar
oneDNN:
  IP Batch 1D - u8s8f32 - CPU
  IP Batch 1D - f32 - CPU
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