Core i7 4790K Haswell Intel Linux

Intel Core i7-4790K testing with a Gigabyte Z97-HD3P (F4 BIOS) and Gigabyte Intel Haswell Desktop 2GB on Ubuntu 19.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2010102-FI-COREI747931
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AV1 4 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
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Chess Test Suite 2 Tests
Timed Code Compilation 8 Tests
C/C++ Compiler Tests 24 Tests
Compression Tests 5 Tests
CPU Massive 27 Tests
Creator Workloads 26 Tests
Cryptography 3 Tests
Database Test Suite 3 Tests
Encoding 6 Tests
Fortran Tests 6 Tests
Game Development 4 Tests
HPC - High Performance Computing 23 Tests
Imaging 7 Tests
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Molecular Dynamics 6 Tests
MPI Benchmarks 5 Tests
Multi-Core 28 Tests
NVIDIA GPU Compute 5 Tests
OCR 2 Tests
Intel oneAPI 4 Tests
OpenCV Tests 2 Tests
OpenMPI Tests 7 Tests
Programmer / Developer System Benchmarks 14 Tests
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Scientific Computing 15 Tests
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Telephony 2 Tests
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Video Encoding 6 Tests
Common Workstation Benchmarks 2 Tests

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Linux 5.5
October 07 2020
  19 Hours, 12 Minutes
Linux 5.8
October 08 2020
  15 Hours, 57 Minutes
Linux 5.9
October 09 2020
  15 Hours, 41 Minutes
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  16 Hours, 57 Minutes

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Linux 5.5

Processor: Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads), Motherboard: Gigabyte Z97-HD3P (F4 BIOS), Chipset: Intel 4th Gen Core DRAM, Memory: 16GB, Disk: 120GB OCZ TRION100, Graphics: Gigabyte Intel Haswell Desktop 2GB (1250MHz), Audio: Intel Xeon E3-1200 v3/4th, Monitor: LG Ultra HD, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 19.10, Kernel: 5.5.0-rc2-patched (x86_64) 20200115, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.1, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x27
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)
Python Notes: Python 2.7.17 + Python 3.7.5
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Linux 5.8

OS: Ubuntu 19.10, Kernel: 5.8.14-050814-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8, Vulkan: 1.1.102, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x28
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)
Python Notes: Python 2.7.17 + Python 3.7.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Linux 5.9

OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc8daily20201009-generic (x86_64) 20201008, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8, Vulkan: 1.1.102, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 3840x2160

Core i7 4790K Haswell Intel LinuxProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionVulkanLinux 5.5Linux 5.8Linux 5.9Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads)Gigabyte Z97-HD3P (F4 BIOS)Intel 4th Gen Core DRAM16GB120GB OCZ TRION100Gigabyte Intel Haswell Desktop 2GB (1250MHz)Intel Xeon E3-1200 v3/4thLG Ultra HDRealtek RTL8111/8168/8411Ubuntu 19.105.5.0-rc2-patched (x86_64) 20200115GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.54.5 Mesa 19.2.1GCC 9.2.1 20191008ext43840x21605.8.14-050814-generic (x86_64)4.5 Mesa 19.2.81.1.1025.9.0-050900rc8daily20201009-generic (x86_64) 20201008OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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 Disk Details- MQ-DEADLINE / errors=remount-ro,relatime,rwProcessor Details- Linux 5.5: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x27- Linux 5.8: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x28- Linux 5.9: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x28Java Details- OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)Python Details- Python 2.7.17 + Python 3.7.5Security Details- Linux 5.5: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected - Linux 5.8: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected - Linux 5.9: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Linux 5.5Linux 5.8Linux 5.9Result OverviewPhoronix Test Suite100%110%120%130%LAMMPS Molecular Dynamics SimulatorIncompact3DMonte Carlo Simulations of Ionised NebulaeoneDNNGPAWGLmark2eSpeak-NG Speech EngineLevelDBTimed GDB GNU Debugger CompilationSVT-AV1ArrayFireTimed HMMer SearchLULESH7-Zip CompressionTimed Apache CompilationBasis UniversalJava Gradle BuildInfluxDBNebular Empirical Analysis ToolBuild2Tesseract OCRNCNNSVT-VP9dav1dTimed MAFFT AlignmentFFTEC-BloscPostMarkx264DolfynRNNoiseTimed LLVM CompilationMontage Astronomical Image Mosaic EngineHuginGitGNU Octave BenchmarkKeyDBlibavif avifencTimed Linux Kernel CompilationCraftyOpenVKLOCRMyPDFTensorflowLuxCoreRenderTimed PHP CompilationMlpack BenchmarkTimed FFmpeg CompilationZstd CompressionBYTE Unix BenchmarkAlgebraic Multi-Grid BenchmarkRawTherapeeEmbreeTNNSMHasherTimed MPlayer CompilationBRL-CADLibRawG'MICPyPerformanceHierarchical INTegrationGROMACSTachyonASTC EncoderTensorFlow LitelzbenchSystem GZIP DecompressionAOM AV1TSCPWebP Image EncodeBotanJohn The RipperNAMDCaffeYafaRayIntel Open Image Denoise

Core i7 4790K Haswell Intel Linuxincompact3d: Cylinderonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: IP Batch 1D - f32 - CPUmocassin: Dust 2D tau100.0leveldb: Rand Deleteonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUleveldb: Seq Fillleveldb: Seq Fillbasis: UASTC Level 2 + RDO Post-Processinggpaw: Carbon Nanotubeglmark2: 3840 x 2160svt-av1: Enc Mode 0 - 1080pglmark2: 1920 x 1080glmark2: 2560 x 1440glmark2: 1920 x 1200pyperformance: python_startupncnn: CPU-v2-v2 - mobilenet-v2arrayfire: BLAS CPUonednn: IP Batch All - f32 - CPUbuild-gdb: Time To Compileonednn: Recurrent Neural Network Inference - f32 - CPUsmhasher: t1ha0_aes_avx2dav1d: Summer Nature 4Khmmer: Pfam Database Searchncnn: CPU - mnasnetlulesh: ncnn: CPU - yolov4-tinyncnn: CPU - efficientnet-b0influxdb: 4 - 10000 - 2,5000,1 - 10000compress-7zip: Compress Speed Testncnn: CPU - alexnetbuild-apache: Time To Compilencnn: CPU - squeezenetncnn: CPU - googlenetncnn: CPU - resnet18influxdb: 1024 - 10000 - 2,5000,1 - 10000ncnn: CPU - blazefacedav1d: Chimera 1080psvt-vp9: VMAF Optimized - Bosphorus 1080ppyperformance: pathlibjava-gradle-perf: Reactorncnn: CPU-v3-v3 - mobilenet-v3svt-vp9: PSNR/SSIM Optimized - Bosphorus 1080pinfluxdb: 64 - 10000 - 2,5000,1 - 10000neat: build2: Time To Compileleveldb: Rand Readtesseract-ocr: Time To OCR 7 Imagesleveldb: Hot Readmlpack: scikit_linearridgeregressionsvt-av1: Enc Mode 4 - 1080parrayfire: Conjugate Gradient CPUmafft: Multiple Sequence Alignment - LSU RNAncnn: CPU - resnet50compress-zstd: 3blosc: blosclzpostmark: Disk Transaction Performancex264: H.264 Video Encodingonednn: Convolution Batch Shapes Auto - f32 - CPUdolfyn: Computational Fluid Dynamicsluxcorerender: DLSCsvt-vp9: Visual Quality Optimized - Bosphorus 1080pembree: Pathtracer ISPC - Asian Dragonbasis: UASTC Level 0ncnn: CPU - mobilenetluxcorerender: Rainbow Colors and Prismsmhasher: t1ha2_atoncemontage: Mosaic of M17, K band, 1.5 deg x 1.5 degavifenc: 10embree: Pathtracer ISPC - Crownavifenc: 0lzbench: Zstd 8 - Decompressionhugin: Panorama Photo Assistant + Stitching Timegit: Time To Complete Common Git Commandsoctave-benchmark: svt-av1: Enc Mode 8 - 1080pgmic: 2D Function Plotting, 1000 Timesaom-av1: Speed 6 Two-Passdav1d: Chimera 1080p 10-bitleveldb: Seek Randkeydb: smhasher: MeowHashtnn: CPU - MobileNet v2pyperformance: django_templatecompress-zstd: 19crafty: Elapsed Timeaom-av1: Speed 8 Realtimepyperformance: floatcaffe: AlexNet - CPU - 200basis: ETC1Socrmypdf: Processing 60 Page PDF Documentopenvkl: vklBenchmarkavifenc: 8build-linux-kernel: Time To Compilebuild-llvm: Time To Compilebuild-php: Time To Compiledav1d: Summer Nature 1080ptensorflow: Cifar10webp: Defaultlzbench: Crush 0 - Decompressionavifenc: 2build-ffmpeg: Time To Compilewebp: Quality 100, Lossless, Highest Compressionastcenc: Fastncnn: CPU - shufflenet-v2lzbench: Brotli 0 - Decompressionbyte: Dhrystone 2embree: Pathtracer - Asian Dragonmlpack: scikit_qdapyperformance: regex_compilebasis: UASTC Level 3amg: rawtherapee: Total Benchmark Timebuild-mplayer: Time To Compileembree: Pathtracer ISPC - Asian Dragon Objncnn: CPU - vgg16caffe: GoogleNet - CPU - 200pyperformance: json_loadsembree: Pathtracer - Crownembree: Pathtracer - Asian Dragon Objbotan: AES-256lzbench: Zstd 1 - Compressioncaffe: GoogleNet - CPU - 100brl-cad: VGR Performance Metricwebp: Quality 100, Losslesslibraw: Post-Processing Benchmarkpyperformance: 2to3basis: UASTC Level 2hint: FLOATaom-av1: Speed 6 Realtimegmic: Plotting Isosurface Of A 3D Volume, 1000 Timestensorflow-lite: Inception V4gromacs: Water Benchmarktensorflow-lite: Mobilenet Floatcaffe: AlexNet - CPU - 100pyperformance: pickle_pure_pythonsmhasher: wyhashlzbench: Brotli 0 - Compressiontensorflow-lite: SqueezeNettensorflow-lite: Inception ResNet V2tnn: CPU - SqueezeNet v1.1smhasher: Spooky32john-the-ripper: MD5tachyon: Total Timetensorflow-lite: NASNet Mobilewebp: Quality 100astcenc: Thoroughtensorflow-lite: Mobilenet Quantsystem-decompress-gzip: botan: Blowfishlzbench: Brotli 2 - Decompressionastcenc: Exhaustivemlpack: scikit_icasmhasher: t1ha2_atoncejohn-the-ripper: Blowfishbotan: KASUMItscp: AI Chess Performancepyperformance: crypto_pyaesbotan: Twofishastcenc: Mediumgmic: 3D Elevated Function In Rand Colors, 100 Timesyafaray: Total Time For Sample Scenemlpack: scikit_svmwebp: Quality 100, Highest Compressionlzbench: Libdeflate 1 - Decompressionsmhasher: Spooky32smhasher: MeowHashlzbench: Zstd 1 - Decompressionnamd: ATPase Simulation - 327,506 Atomsbotan: CAST-256smhasher: wyhashsmhasher: fasthash32smhasher: fasthash32pyperformance: raytracepyperformance: nbodypyperformance: chaospyperformance: gooidn: Memorialsmhasher: t1ha0_aes_avx2lzbench: Libdeflate 1 - Compressionlzbench: Brotli 2 - Compressionlzbench: Crush 0 - Compressionlzbench: Zstd 8 - Compressionlzbench: XZ 0 - Decompressionlzbench: XZ 0 - Compressionleveldb: Rand Fillleveldb: Rand Fillleveldb: Overwriteleveldb: Overwriteleveldb: Fill Syncleveldb: Fill Syncrnnoise: espeak: Text-To-Speech Synthesisonednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUlammps: Rhodopsin Proteinffte: N=256, 3D Complex FFT RoutineLinux 5.5Linux 5.8Linux 5.9679.8164478.431068.8907127429.9166.8495327.432.397828.986712.537900.0832901942737.869.00446.786108.991146.419383.61628665.2476.13118.4747.04902.4115246.5811.75724681.12477224.3228.70728.2325.0225.781047518.71.94299.3679.4920.1220.2127.2981.34846581.030.850219.1213.26924.0573.2624.611.44234.4011.47252.662060.26589.4590640.8426.913519.5960.7265.846.571110.67031.940.7813313.7285.8097.2135.2976181.596153774.88750.1988.85711.787100.3273.0269.144.498406172.8827681.00264.92354.622.3790490137.2711411429271.70851.40056.397.836176.9081322.135103.124284.75113.831.607540107.370128.76939.7557.644.8064443087970.35.523197.55178145.422114246.890.53384.9255.8697112.6126828321.94.74695.19913896.0324991340394861016.94731.6232474.240402761427.9340514.8819.25169123730.4073247795705944014488.964694789906252180250.74212487.98486246242.20993472192.43069.463121832.896435.747755567.0855.3242.983758495.538143731798.8362.25310.3965.406364.33211.677.297124856.64777.70214493.56741138.10333.4886189.4343.1324611121042353.9043.51623619599921224336.61525.136.93024.94734.2470.223.50255.724812.08115.15633.24018506.136273738954.6562508.413219.1653033135.9427.8455322.838.856961.402833.1461050.0753202122977.968.47430.465114.148153.153370.09828567.5179.61123.5166.75865.8059845.511.29702128.12388825.2929.37328.2924.4426.361014695.51.88304.5181.9419.5213.8657.0983.58832295.930.067224.7293.35024.6143.3334.521.41434.6111.52851.722072.16696.8600040.4926.632119.7390.7366.196.543210.53131.690.7713145.2186.2227.2655.3319182.536151974.37850.4598.85111.663101.3463.0069.834.516402813.0327426.54266.52955.122.4786388237.3511411403872.33450.98356.367.875176.1101329.613102.955286.93114.691.595539108.132128.88740.0227.694.7764343342185.35.537097.00179146.172114876.591.00584.5005.8932112.1026954721.94.72575.20953912.5035011345434845116.88831.5232474.284403395535.7548014.9019.20169295770.4073255625708444114512.084704799326265000250.23212494.38485299242.55703478182.42669.563126212.899435.150755567.8255.2542.957759195.641143581998.9362.61410.3965.463364.62611.677.303124956.68977.65814493.56919138.10033.4876189.8043.1334611121042353.9043.51623619599921224340.09822.742.41421.54386.7390.223.25458.328976.12315.12702.31118803.435277645952.58457411.802611.042233536.3318.2587723.138.402979.594834.8611040.0763192132978.438.40417.604115.237153.951365.46629938.8879.30123.6336.81872.4430944.7511.41730564.02484324.3529.80627.2724.1425.491032595.41.93308.6080.6419.5215.0487.1183.12854943.730.340224.4113.32524.5933.3254.551.42335.0711.68752.112037.76694.1590640.2127.038419.8720.7366.726.630610.66731.530.7813296.2685.1767.3015.3615183.769153574.01450.7598.94611.685100.8072.9969.534.472406734.8427426.50264.08754.722.5783535537.6011311504572.31750.96755.927.900177.5271332.617103.757285.45114.391.599543107.967127.98440.0267.664.7864743235594.25.555197.52178145.365114720.690.91684.8755.8980112.0826924922.04.73155.22183897.7355011343274863116.89231.5232574.463402298795.1264714.8619.20169301300.4063252945694944114521.094704800016259830250.69912469.32486050242.66363477222.43069.503123212.900435.574754567.1755.2942.929758295.629143656898.9362.56210.4065.430364.31111.687.300124856.66177.64714483.56784138.03833.4856189.9443.1324611121042353.9043.51623619599921224338.55423.440.46422.53999.0480.223.17660.828997.29522.15192.43018462.224953855OpenBenchmarking.org

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: CylinderLinux 5.5Linux 5.8Linux 5.92004006008001000SE +/- 1.77, N = 3SE +/- 9.83, N = 3SE +/- 8.01, N = 3679.82954.66952.581. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.5Linux 5.8Linux 5.92004006008001000Min: 676.5 / Avg: 679.82 / Max: 682.55Min: 936.32 / Avg: 954.66 / Max: 969.96Min: 939.21 / Avg: 952.58 / Max: 966.91. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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: f32 - Engine: CPULinux 5.5Linux 5.8Linux 5.93691215SE +/- 0.02609, N = 3SE +/- 0.03592, N = 3SE +/- 0.13803, N = 38.431068.4132111.80260MIN: 8.29MIN: 8.28MIN: 11.231. (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: CPULinux 5.5Linux 5.8Linux 5.93691215Min: 8.38 / Avg: 8.43 / Max: 8.46Min: 8.36 / Avg: 8.41 / Max: 8.48Min: 11.65 / Avg: 11.8 / Max: 12.081. (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: CPULinux 5.5Linux 5.8Linux 5.93691215SE +/- 0.10063, N = 3SE +/- 0.14008, N = 3SE +/- 0.02953, N = 38.890719.1653011.04220MIN: 8.34MIN: 8.81MIN: 10.641. (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: CPULinux 5.5Linux 5.8Linux 5.93691215Min: 8.69 / Avg: 8.89 / Max: 9.02Min: 8.98 / Avg: 9.17 / Max: 9.44Min: 11 / Avg: 11.04 / Max: 11.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 tau100.0Linux 5.5Linux 5.8Linux 5.970140210280350SE +/- 3.48, N = 32743313351. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Linux 5.5Linux 5.8Linux 5.960120180240300Min: 325 / Avg: 330.67 / Max: 3371. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -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: Random DeleteLinux 5.5Linux 5.8Linux 5.9816243240SE +/- 0.31, N = 15SE +/- 0.60, N = 3SE +/- 0.33, N = 1529.9235.9436.331. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random DeleteLinux 5.5Linux 5.8Linux 5.9816243240Min: 29.01 / Avg: 29.92 / Max: 32.39Min: 34.82 / Avg: 35.94 / Max: 36.86Min: 35.32 / Avg: 36.33 / Max: 39.681. (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: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 5.5Linux 5.8Linux 5.9246810SE +/- 0.00890, N = 3SE +/- 0.01431, N = 3SE +/- 0.02987, N = 36.849537.845538.25877MIN: 6.66MIN: 7.6MIN: 7.51. (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: CPULinux 5.5Linux 5.8Linux 5.93691215Min: 6.83 / Avg: 6.85 / Max: 6.86Min: 7.83 / Avg: 7.85 / Max: 7.87Min: 8.22 / Avg: 8.26 / Max: 8.321. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 FillLinux 5.5Linux 5.8Linux 5.9612182430SE +/- 0.41, N = 15SE +/- 0.30, N = 15SE +/- 0.26, N = 1527.422.823.11. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.5Linux 5.8Linux 5.9612182430Min: 24.8 / Avg: 27.4 / Max: 28.8Min: 20.8 / Avg: 22.83 / Max: 24.2Min: 21.7 / Avg: 23.07 / Max: 24.11. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.5Linux 5.8Linux 5.9918273645SE +/- 0.50, N = 15SE +/- 0.51, N = 15SE +/- 0.44, N = 1532.4038.8638.401. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Sequential FillLinux 5.5Linux 5.8Linux 5.9816243240Min: 30.68 / Avg: 32.4 / Max: 35.75Min: 36.54 / Avg: 38.86 / Max: 42.46Min: 36.66 / Avg: 38.4 / Max: 40.771. (CXX) g++ options: -O3 -lsnappy -lpthread

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingLinux 5.5Linux 5.8Linux 5.92004006008001000SE +/- 0.21, N = 3SE +/- 9.75, N = 3SE +/- 10.81, N = 3828.99961.40979.591. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2 + RDO Post-ProcessingLinux 5.5Linux 5.8Linux 5.92004006008001000Min: 828.64 / Avg: 828.99 / Max: 829.36Min: 946.57 / Avg: 961.4 / Max: 979.78Min: 958.12 / Avg: 979.59 / Max: 992.471. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

GPAW

GPAW is a density-functional theory (DFT) Python code based on the projector-augmented wave (PAW) method and the atomic simulation environment (ASE). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.5Linux 5.8Linux 5.92004006008001000SE +/- 2.16, N = 3SE +/- 2.41, N = 3SE +/- 4.61, N = 3712.54833.15834.861. (CC) gcc options: -pthread -shared -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.5Linux 5.8Linux 5.9150300450600750Min: 708.37 / Avg: 712.54 / Max: 715.62Min: 828.64 / Avg: 833.15 / Max: 836.89Min: 826.53 / Avg: 834.86 / Max: 842.431. (CC) gcc options: -pthread -shared -lxc -lblas -lmpi

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: 3840 x 2160Linux 5.5Linux 5.8Linux 5.92040608010090105104

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: 1080pLinux 5.5Linux 5.8Linux 5.90.01870.03740.05610.07480.0935SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 30.0830.0750.0761. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 0 - Input: 1080pLinux 5.5Linux 5.8Linux 5.912345Min: 0.08 / Avg: 0.08 / Max: 0.08Min: 0.07 / Avg: 0.07 / Max: 0.08Min: 0.08 / Avg: 0.08 / Max: 0.081. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

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 1080Linux 5.5Linux 5.8Linux 5.970140210280350290320319

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440Linux 5.5Linux 5.8Linux 5.950100150200250194212213

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200Linux 5.5Linux 5.8Linux 5.960120180240300273297297

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: python_startupLinux 5.5Linux 5.8Linux 5.9246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 37.867.968.43
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupLinux 5.5Linux 5.8Linux 5.93691215Min: 7.85 / Avg: 7.86 / Max: 7.88Min: 7.95 / Avg: 7.96 / Max: 7.97Min: 8.41 / Avg: 8.43 / Max: 8.45

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-v2-v2 - Model: mobilenet-v2Linux 5.5Linux 5.8Linux 5.93691215SE +/- 0.07, N = 12SE +/- 0.04, N = 3SE +/- 0.02, N = 39.008.478.40MIN: 8.3 / MAX: 19.09MIN: 8.19 / MAX: 9.83MIN: 8.25 / MAX: 10.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.5Linux 5.8Linux 5.93691215Min: 8.49 / Avg: 9 / Max: 9.26Min: 8.4 / Avg: 8.47 / Max: 8.55Min: 8.37 / Avg: 8.4 / Max: 8.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPULinux 5.5Linux 5.8Linux 5.9100200300400500SE +/- 2.56, N = 3SE +/- 6.39, N = 4SE +/- 2.71, N = 3446.79430.47417.601. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgGFLOPS, More Is BetterArrayFire 3.7Test: BLAS CPULinux 5.5Linux 5.8Linux 5.980160240320400Min: 442.52 / Avg: 446.79 / Max: 451.38Min: 415.58 / Avg: 430.47 / Max: 444.96Min: 412.25 / Avg: 417.6 / Max: 420.991. (CXX) g++ options: -rdynamic

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: CPULinux 5.5Linux 5.8Linux 5.9306090120150SE +/- 0.29, N = 3SE +/- 1.55, N = 3SE +/- 1.76, N = 3108.99114.15115.24MIN: 106.98MIN: 110.07MIN: 112.211. (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: CPULinux 5.5Linux 5.8Linux 5.920406080100Min: 108.42 / Avg: 108.99 / Max: 109.31Min: 111.66 / Avg: 114.15 / Max: 116.98Min: 113.19 / Avg: 115.24 / Max: 118.741. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 CompileLinux 5.5Linux 5.8Linux 5.9306090120150SE +/- 0.35, N = 3SE +/- 1.59, N = 3SE +/- 0.58, N = 3146.42153.15153.95
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileLinux 5.5Linux 5.8Linux 5.9306090120150Min: 145.92 / Avg: 146.42 / Max: 147.09Min: 150.43 / Avg: 153.15 / Max: 155.95Min: 153.26 / Avg: 153.95 / Max: 155.09

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: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.5Linux 5.8Linux 5.980160240320400SE +/- 0.65, N = 3SE +/- 2.29, N = 3SE +/- 2.97, N = 13383.62370.10365.47MIN: 378.38MIN: 363.68MIN: 346.861. (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: CPULinux 5.5Linux 5.8Linux 5.970140210280350Min: 382.63 / Avg: 383.62 / Max: 384.85Min: 365.59 / Avg: 370.1 / Max: 373.05Min: 348.44 / Avg: 365.47 / Max: 380.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2Linux 5.5Linux 5.8Linux 5.96K12K18K24K30KSE +/- 135.43, N = 3SE +/- 193.79, N = 3SE +/- 373.45, N = 328665.2428567.5129938.881. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2Linux 5.5Linux 5.8Linux 5.95K10K15K20K25KMin: 28423.45 / Avg: 28665.24 / Max: 28891.84Min: 28237.2 / Avg: 28567.51 / Max: 28908.28Min: 29278.07 / Avg: 29938.88 / Max: 30570.761. (CXX) g++ options: -march=native -O3 -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 4KLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 1.11, N = 4SE +/- 0.04, N = 3SE +/- 0.41, N = 376.1379.6179.30MIN: 70.37 / MAX: 89.39MIN: 74.82 / MAX: 90MIN: 73.26 / MAX: 89.431. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 4KLinux 5.5Linux 5.8Linux 5.91530456075Min: 74.48 / Avg: 76.13 / Max: 79.39Min: 79.56 / Avg: 79.61 / Max: 79.69Min: 78.48 / Avg: 79.3 / Max: 79.791. (CC) gcc options: -pthread

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 SearchLinux 5.5Linux 5.8Linux 5.9306090120150SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.14, N = 3118.47123.52123.631. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.5Linux 5.8Linux 5.920406080100Min: 118.35 / Avg: 118.47 / Max: 118.64Min: 123.31 / Avg: 123.52 / Max: 123.74Min: 123.36 / Avg: 123.63 / Max: 123.841. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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: mnasnetLinux 5.5Linux 5.8Linux 5.9246810SE +/- 0.04, N = 12SE +/- 0.05, N = 3SE +/- 0.07, N = 37.046.756.81MIN: 6.78 / MAX: 26.78MIN: 6.62 / MAX: 7.16MIN: 6.57 / MAX: 71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.5Linux 5.8Linux 5.93691215Min: 6.84 / Avg: 7.04 / Max: 7.25Min: 6.68 / Avg: 6.75 / Max: 6.85Min: 6.67 / Avg: 6.81 / Max: 6.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LULESH

LULESH is the Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Linux 5.5Linux 5.8Linux 5.92004006008001000SE +/- 10.66, N = 3SE +/- 1.78, N = 3SE +/- 6.40, N = 3902.41865.81872.441. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi
OpenBenchmarking.orgz/s, More Is BetterLULESH 2.0.3Linux 5.5Linux 5.8Linux 5.9160320480640800Min: 881.1 / Avg: 902.41 / Max: 913.44Min: 862.43 / Avg: 865.81 / Max: 868.48Min: 859.8 / Avg: 872.44 / Max: 880.51. (CXX) g++ options: -O3 -fopenmp -lm -pthread -lmpi_cxx -lmpi

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: yolov4-tinyLinux 5.5Linux 5.8Linux 5.91122334455SE +/- 0.20, N = 12SE +/- 0.55, N = 3SE +/- 0.34, N = 346.5845.5044.75MIN: 44.74 / MAX: 64.94MIN: 43.62 / MAX: 57.84MIN: 43.51 / MAX: 56.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.5Linux 5.8Linux 5.9918273645Min: 45.48 / Avg: 46.58 / Max: 47.7Min: 44.4 / Avg: 45.47 / Max: 46.2Min: 44.08 / Avg: 44.75 / Max: 45.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.5Linux 5.8Linux 5.93691215SE +/- 0.04, N = 12SE +/- 0.08, N = 3SE +/- 0.03, N = 311.7511.2911.41MIN: 11.43 / MAX: 42.06MIN: 11.08 / MAX: 11.52MIN: 11.28 / MAX: 11.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.5Linux 5.8Linux 5.93691215Min: 11.5 / Avg: 11.75 / Max: 11.89Min: 11.14 / Avg: 11.29 / Max: 11.4Min: 11.35 / Avg: 11.41 / Max: 11.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.5Linux 5.8Linux 5.9160K320K480K640K800KSE +/- 9874.14, N = 4SE +/- 9299.26, N = 3SE +/- 2754.18, N = 3724681.1702128.1730564.0
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.5Linux 5.8Linux 5.9130K260K390K520K650KMin: 702429.1 / Avg: 724681.05 / Max: 748942Min: 684388.2 / Avg: 702128.07 / Max: 715835.5Min: 725484.6 / Avg: 730564.03 / Max: 734949.3

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 TestLinux 5.5Linux 5.8Linux 5.95K10K15K20K25KSE +/- 105.30, N = 3SE +/- 106.00, N = 3SE +/- 295.54, N = 32477223888248431. (CXX) g++ options: -pipe -lpthread
OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestLinux 5.5Linux 5.8Linux 5.94K8K12K16K20KMin: 24563 / Avg: 24772 / Max: 24899Min: 23708 / Avg: 23888 / Max: 24075Min: 24303 / Avg: 24843.33 / Max: 253211. (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: CPU - Model: alexnetLinux 5.5Linux 5.8Linux 5.9612182430SE +/- 0.02, N = 12SE +/- 0.10, N = 3SE +/- 0.15, N = 324.3225.2924.35MIN: 24.04 / MAX: 43.29MIN: 24.82 / MAX: 36.78MIN: 23.86 / MAX: 26.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.5Linux 5.8Linux 5.9612182430Min: 24.19 / Avg: 24.32 / Max: 24.39Min: 25.08 / Avg: 25.29 / Max: 25.42Min: 24.04 / Avg: 24.35 / Max: 24.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 CompileLinux 5.5Linux 5.8Linux 5.9714212835SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.28, N = 328.7129.3729.81
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileLinux 5.5Linux 5.8Linux 5.9714212835Min: 28.57 / Avg: 28.71 / Max: 28.83Min: 29.03 / Avg: 29.37 / Max: 29.6Min: 29.3 / Avg: 29.81 / Max: 30.27

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: squeezenetLinux 5.5Linux 5.8Linux 5.9714212835SE +/- 0.24, N = 12SE +/- 0.27, N = 3SE +/- 0.33, N = 328.2328.2927.27MIN: 26.38 / MAX: 63.57MIN: 27.6 / MAX: 30.1MIN: 26.62 / MAX: 28.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.5Linux 5.8Linux 5.9612182430Min: 26.58 / Avg: 28.23 / Max: 29.01Min: 28.02 / Avg: 28.29 / Max: 28.83Min: 26.75 / Avg: 27.27 / Max: 27.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.5Linux 5.8Linux 5.9612182430SE +/- 0.05, N = 12SE +/- 0.04, N = 3SE +/- 0.08, N = 325.0224.4424.14MIN: 24.41 / MAX: 47.23MIN: 24.13 / MAX: 25.2MIN: 23.91 / MAX: 24.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.5Linux 5.8Linux 5.9612182430Min: 24.55 / Avg: 25.02 / Max: 25.15Min: 24.39 / Avg: 24.44 / Max: 24.51Min: 24 / Avg: 24.14 / Max: 24.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.5Linux 5.8Linux 5.9612182430SE +/- 0.06, N = 12SE +/- 0.24, N = 3SE +/- 0.03, N = 325.7826.3625.49MIN: 25.28 / MAX: 44.52MIN: 25.63 / MAX: 40.16MIN: 25.29 / MAX: 37.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.5Linux 5.8Linux 5.9612182430Min: 25.41 / Avg: 25.78 / Max: 26.09Min: 25.89 / Avg: 26.36 / Max: 26.66Min: 25.45 / Avg: 25.49 / Max: 25.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.5Linux 5.8Linux 5.9200K400K600K800K1000KSE +/- 5105.18, N = 3SE +/- 7080.96, N = 3SE +/- 9149.72, N = 31047518.71014695.51032595.4
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.5Linux 5.8Linux 5.9200K400K600K800K1000KMin: 1039137 / Avg: 1047518.73 / Max: 1056759.2Min: 1000534.3 / Avg: 1014695.5 / Max: 1021899.4Min: 1016124.8 / Avg: 1032595.43 / Max: 1047736.6

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: blazefaceLinux 5.5Linux 5.8Linux 5.90.43650.8731.30951.7462.1825SE +/- 0.02, N = 12SE +/- 0.00, N = 3SE +/- 0.04, N = 31.941.881.93MIN: 1.86 / MAX: 4.73MIN: 1.86 / MAX: 1.95MIN: 1.86 / MAX: 2.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.5Linux 5.8Linux 5.9246810Min: 1.88 / Avg: 1.94 / Max: 2.03Min: 1.88 / Avg: 1.88 / Max: 1.89Min: 1.88 / Avg: 1.93 / Max: 2.011. (CXX) g++ options: -O3 -rdynamic -lgomp -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: Chimera 1080pLinux 5.5Linux 5.8Linux 5.970140210280350SE +/- 0.16, N = 3SE +/- 3.87, N = 3SE +/- 1.71, N = 3299.36304.51308.60MIN: 220.87 / MAX: 490.47MIN: 223.01 / MAX: 501.58MIN: 225.65 / MAX: 500.951. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080pLinux 5.5Linux 5.8Linux 5.960120180240300Min: 299.15 / Avg: 299.36 / Max: 299.66Min: 297.97 / Avg: 304.51 / Max: 311.36Min: 305.21 / Avg: 308.6 / Max: 310.651. (CC) gcc options: -pthread

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: VMAF Optimized - Input: Bosphorus 1080pLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.89, N = 6SE +/- 1.34, N = 3SE +/- 1.08, N = 379.4981.9480.641. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.1Tuning: VMAF Optimized - Input: Bosphorus 1080pLinux 5.5Linux 5.8Linux 5.91632486480Min: 75.57 / Avg: 79.49 / Max: 81.55Min: 79.26 / Avg: 81.94 / Max: 83.4Min: 78.48 / Avg: 80.64 / Max: 81.91. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -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: pathlibLinux 5.5Linux 5.8Linux 5.9510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 320.119.519.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibLinux 5.5Linux 5.8Linux 5.9510152025Min: 20.1 / Avg: 20.13 / Max: 20.2Min: 19.4 / Avg: 19.47 / Max: 19.5Min: 19.5 / Avg: 19.5 / Max: 19.5

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: ReactorLinux 5.5Linux 5.8Linux 5.950100150200250SE +/- 2.40, N = 12SE +/- 2.60, N = 12SE +/- 2.91, N = 12220.21213.87215.05
OpenBenchmarking.orgSeconds, Fewer Is BetterJava Gradle BuildGradle Build: ReactorLinux 5.5Linux 5.8Linux 5.94080120160200Min: 206.63 / Avg: 220.21 / Max: 242.48Min: 205.42 / Avg: 213.86 / Max: 239.28Min: 204.25 / Avg: 215.05 / Max: 242.99

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-v3-v3 - Model: mobilenet-v3Linux 5.5Linux 5.8Linux 5.9246810SE +/- 0.03, N = 12SE +/- 0.01, N = 3SE +/- 0.05, N = 37.297.097.11MIN: 6.99 / MAX: 29.49MIN: 6.93 / MAX: 8.38MIN: 6.94 / MAX: 8.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.5Linux 5.8Linux 5.93691215Min: 7.11 / Avg: 7.29 / Max: 7.4Min: 7.07 / Avg: 7.09 / Max: 7.12Min: 7.06 / Avg: 7.11 / Max: 7.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: PSNR/SSIM Optimized - Input: Bosphorus 1080pLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.59, N = 3SE +/- 0.16, N = 3SE +/- 0.19, N = 381.3483.5883.121. (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 1080pLinux 5.5Linux 5.8Linux 5.91632486480Min: 80.36 / Avg: 81.34 / Max: 82.41Min: 83.26 / Avg: 83.58 / Max: 83.8Min: 82.74 / Avg: 83.12 / Max: 83.341. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

InfluxDB

This is a benchmark of the InfluxDB open-source time-series database optimized for fast, high-availability storage for IoT and other use-cases. The InfluxDB test profile makes use of InfluxDB Inch for facilitating the benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.5Linux 5.8Linux 5.9200K400K600K800K1000KSE +/- 12044.26, N = 4SE +/- 8368.88, N = 3SE +/- 7239.09, N = 3846581.0832295.9854943.7
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.5Linux 5.8Linux 5.9150K300K450K600K750KMin: 810992.6 / Avg: 846580.95 / Max: 862682.4Min: 816310.7 / Avg: 832295.93 / Max: 844586.1Min: 840559.4 / Avg: 854943.73 / Max: 863561.2

Nebular Empirical Analysis Tool

NEAT is the Nebular Empirical Analysis Tool for empirical analysis of ionised nebulae, with uncertainty propagation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Linux 5.5Linux 5.8Linux 5.9714212835SE +/- 0.35, N = 3SE +/- 0.14, N = 3SE +/- 0.21, N = 330.8530.0730.341. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace
OpenBenchmarking.orgSeconds, Fewer Is BetterNebular Empirical Analysis Tool 2020-02-29Linux 5.5Linux 5.8Linux 5.9714212835Min: 30.34 / Avg: 30.85 / Max: 31.52Min: 29.79 / Avg: 30.07 / Max: 30.24Min: 29.93 / Avg: 30.34 / Max: 30.61. (F9X) gfortran options: -cpp -ffree-line-length-0 -Jsource/ -fopenmp -O3 -fno-backtrace

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileLinux 5.5Linux 5.8Linux 5.950100150200250SE +/- 0.87, N = 3SE +/- 0.18, N = 3SE +/- 1.89, N = 3219.12224.73224.41
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.12Time To CompileLinux 5.5Linux 5.8Linux 5.94080120160200Min: 217.87 / Avg: 219.12 / Max: 220.78Min: 224.5 / Avg: 224.73 / Max: 225.08Min: 221.25 / Avg: 224.41 / Max: 227.79

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 ReadLinux 5.5Linux 5.8Linux 5.90.75381.50762.26143.01523.769SE +/- 0.008, N = 3SE +/- 0.009, N = 3SE +/- 0.010, N = 33.2693.3503.3251. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random ReadLinux 5.5Linux 5.8Linux 5.9246810Min: 3.26 / Avg: 3.27 / Max: 3.28Min: 3.34 / Avg: 3.35 / Max: 3.37Min: 3.31 / Avg: 3.33 / Max: 3.351. (CXX) g++ options: -O3 -lsnappy -lpthread

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 4.1.0Time To OCR 7 ImagesLinux 5.5Linux 5.8Linux 5.9612182430SE +/- 0.03, N = 3SE +/- 0.26, N = 3SE +/- 0.29, N = 324.0624.6124.59
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.0Time To OCR 7 ImagesLinux 5.5Linux 5.8Linux 5.9612182430Min: 24.01 / Avg: 24.06 / Max: 24.09Min: 24.21 / Avg: 24.61 / Max: 25.09Min: 24.26 / Avg: 24.59 / Max: 25.18

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 ReadLinux 5.5Linux 5.8Linux 5.90.74991.49982.24972.99963.7495SE +/- 0.034, N = 3SE +/- 0.033, N = 3SE +/- 0.039, N = 33.2623.3333.3251. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Hot ReadLinux 5.5Linux 5.8Linux 5.9246810Min: 3.2 / Avg: 3.26 / Max: 3.3Min: 3.27 / Avg: 3.33 / Max: 3.37Min: 3.25 / Avg: 3.32 / Max: 3.371. (CXX) g++ options: -O3 -lsnappy -lpthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.5Linux 5.8Linux 5.91.03732.07463.11194.14925.1865SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 94.614.524.55
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.5Linux 5.8Linux 5.9246810Min: 4.51 / Avg: 4.61 / Max: 4.68Min: 4.46 / Avg: 4.52 / Max: 4.6Min: 4.35 / Avg: 4.55 / Max: 4.75

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: 1080pLinux 5.5Linux 5.8Linux 5.90.32450.6490.97351.2981.6225SE +/- 0.003, N = 3SE +/- 0.008, N = 3SE +/- 0.006, N = 31.4421.4141.4231. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 4 - Input: 1080pLinux 5.5Linux 5.8Linux 5.9246810Min: 1.44 / Avg: 1.44 / Max: 1.45Min: 1.4 / Avg: 1.41 / Max: 1.42Min: 1.41 / Avg: 1.42 / Max: 1.431. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

ArrayFire

ArrayFire is an GPU and CPU numeric processing library, this test uses the built-in CPU and OpenCL ArrayFire benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPULinux 5.5Linux 5.8Linux 5.9816243240SE +/- 0.14, N = 3SE +/- 0.45, N = 3SE +/- 0.20, N = 334.4034.6135.071. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgms, Fewer Is BetterArrayFire 3.7Test: Conjugate Gradient CPULinux 5.5Linux 5.8Linux 5.9714212835Min: 34.17 / Avg: 34.4 / Max: 34.64Min: 33.73 / Avg: 34.61 / Max: 35.22Min: 34.68 / Avg: 35.07 / Max: 35.321. (CXX) g++ options: -rdynamic

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 RNALinux 5.5Linux 5.8Linux 5.93691215SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.06, N = 311.4711.5311.691. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.5Linux 5.8Linux 5.93691215Min: 11.43 / Avg: 11.47 / Max: 11.51Min: 11.42 / Avg: 11.53 / Max: 11.69Min: 11.6 / Avg: 11.69 / Max: 11.811. (CC) gcc options: -std=c99 -O3 -lm -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: resnet50Linux 5.5Linux 5.8Linux 5.91224364860SE +/- 0.09, N = 12SE +/- 0.33, N = 3SE +/- 0.52, N = 352.6651.7252.11MIN: 51.22 / MAX: 75.63MIN: 50.9 / MAX: 55.58MIN: 50.83 / MAX: 53.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.5Linux 5.8Linux 5.91122334455Min: 52 / Avg: 52.66 / Max: 53.05Min: 51.08 / Avg: 51.72 / Max: 52.18Min: 51.07 / Avg: 52.11 / Max: 52.721. (CXX) g++ options: -O3 -rdynamic -lgomp -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: 3Linux 5.5Linux 5.8Linux 5.9400800120016002000SE +/- 24.87, N = 3SE +/- 13.75, N = 3SE +/- 25.83, N = 42060.22072.12037.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.5Linux 5.8Linux 5.9400800120016002000Min: 2017.9 / Avg: 2060.23 / Max: 2104Min: 2049.7 / Avg: 2072.07 / Max: 2097.1Min: 1990 / Avg: 2037.73 / Max: 2110.41. (CC) gcc options: -O3 -pthread -lz -llzma

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: blosclzLinux 5.5Linux 5.8Linux 5.914002800420056007000SE +/- 14.61, N = 3SE +/- 22.28, N = 3SE +/- 17.25, N = 36589.46696.86694.11. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.0 Beta 5Compressor: blosclzLinux 5.5Linux 5.8Linux 5.912002400360048006000Min: 6563.2 / Avg: 6589.37 / Max: 6613.7Min: 6671.1 / Avg: 6696.83 / Max: 6741.2Min: 6659.7 / Avg: 6694.13 / Max: 6713.21. (CXX) g++ options: -rdynamic

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 PerformanceLinux 5.5Linux 5.8Linux 5.913002600390052006500SE +/- 46.33, N = 3SE +/- 48.33, N = 3SE +/- 46.33, N = 35906600059061. (CC) gcc options: -O3
OpenBenchmarking.orgTPS, More Is BetterPostMark 1.51Disk Transaction PerformanceLinux 5.5Linux 5.8Linux 5.910002000300040005000Min: 5813 / Avg: 5905.67 / Max: 5952Min: 5952 / Avg: 6000.33 / Max: 6097Min: 5813 / Avg: 5905.67 / Max: 59521. (CC) gcc options: -O3

x264

This is a simple test of the x264 encoder run on the CPU (OpenCL support disabled) with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingLinux 5.5Linux 5.8Linux 5.9918273645SE +/- 0.38, N = 10SE +/- 0.49, N = 5SE +/- 0.55, N = 440.8440.4940.211. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize
OpenBenchmarking.orgFrames Per Second, More Is Betterx264 2019-12-17H.264 Video EncodingLinux 5.5Linux 5.8Linux 5.9816243240Min: 37.42 / Avg: 40.84 / Max: 41.36Min: 38.59 / Avg: 40.49 / Max: 41.43Min: 38.58 / Avg: 40.21 / Max: 40.91. (CC) gcc options: -ldl -lavformat -lavcodec -lavutil -lswscale -m64 -lm -lpthread -O3 -ffast-math -std=gnu99 -fPIC -fomit-frame-pointer -fno-tree-vectorize

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: CPULinux 5.5Linux 5.8Linux 5.9612182430SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 326.9126.6327.04MIN: 26.72MIN: 26.25MIN: 26.251. (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: CPULinux 5.5Linux 5.8Linux 5.9612182430Min: 26.88 / Avg: 26.91 / Max: 26.96Min: 26.43 / Avg: 26.63 / Max: 26.77Min: 26.98 / Avg: 27.04 / Max: 27.111. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 DynamicsLinux 5.5Linux 5.8Linux 5.9510152025SE +/- 0.02, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 319.6019.7419.87
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.5Linux 5.8Linux 5.9510152025Min: 19.56 / Avg: 19.6 / Max: 19.64Min: 19.56 / Avg: 19.74 / Max: 19.93Min: 19.81 / Avg: 19.87 / Max: 19.98

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: DLSCLinux 5.5Linux 5.8Linux 5.90.16430.32860.49290.65720.8215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.720.730.73MIN: 0.71 / MAX: 0.73MIN: 0.71 / MAX: 0.74MIN: 0.71 / MAX: 0.74
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: DLSCLinux 5.5Linux 5.8Linux 5.9246810Min: 0.72 / Avg: 0.72 / Max: 0.72Min: 0.73 / Avg: 0.73 / Max: 0.73Min: 0.73 / Avg: 0.73 / Max: 0.74

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 1080pLinux 5.5Linux 5.8Linux 5.91530456075SE +/- 0.55, N = 3SE +/- 0.12, N = 3SE +/- 0.16, N = 365.8466.1966.721. (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 1080pLinux 5.5Linux 5.8Linux 5.91326395265Min: 64.99 / Avg: 65.84 / Max: 66.86Min: 66.06 / Avg: 66.19 / Max: 66.42Min: 66.41 / Avg: 66.72 / Max: 66.961. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonLinux 5.5Linux 5.8Linux 5.9246810SE +/- 0.0052, N = 3SE +/- 0.0540, N = 3SE +/- 0.0601, N = 36.57116.54326.6306MIN: 6.51 / MAX: 6.75MIN: 6.4 / MAX: 6.77MIN: 6.48 / MAX: 6.83
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian DragonLinux 5.5Linux 5.8Linux 5.93691215Min: 6.56 / Avg: 6.57 / Max: 6.58Min: 6.44 / Avg: 6.54 / Max: 6.63Min: 6.52 / Avg: 6.63 / Max: 6.73

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Linux 5.5Linux 5.8Linux 5.93691215SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.11, N = 310.6710.5310.671. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 0Linux 5.5Linux 5.8Linux 5.93691215Min: 10.45 / Avg: 10.67 / Max: 10.84Min: 10.46 / Avg: 10.53 / Max: 10.62Min: 10.47 / Avg: 10.67 / Max: 10.871. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -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: mobilenetLinux 5.5Linux 5.8Linux 5.9714212835SE +/- 0.13, N = 12SE +/- 0.22, N = 3SE +/- 0.13, N = 331.9431.6931.53MIN: 31.08 / MAX: 50.46MIN: 31.15 / MAX: 34.16MIN: 30.99 / MAX: 38.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.5Linux 5.8Linux 5.9714212835Min: 31.27 / Avg: 31.94 / Max: 32.49Min: 31.38 / Avg: 31.69 / Max: 32.12Min: 31.28 / Avg: 31.53 / Max: 31.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 PrismLinux 5.5Linux 5.8Linux 5.90.17550.3510.52650.7020.8775SE +/- 0.00, N = 3SE +/- 0.01, N = 4SE +/- 0.00, N = 30.780.770.78MIN: 0.76 / MAX: 0.85MIN: 0.72 / MAX: 0.85MIN: 0.76 / MAX: 0.85
OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.3Scene: Rainbow Colors and PrismLinux 5.5Linux 5.8Linux 5.9246810Min: 0.78 / Avg: 0.78 / Max: 0.78Min: 0.74 / Avg: 0.77 / Max: 0.79Min: 0.78 / Avg: 0.78 / Max: 0.79

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceLinux 5.5Linux 5.8Linux 5.93K6K9K12K15KSE +/- 4.65, N = 3SE +/- 147.22, N = 3SE +/- 1.97, N = 313313.7213145.2113296.261. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceLinux 5.5Linux 5.8Linux 5.92K4K6K8K10KMin: 13306.1 / Avg: 13313.72 / Max: 13322.14Min: 12851.31 / Avg: 13145.21 / Max: 13307.65Min: 13294.2 / Avg: 13296.26 / Max: 13300.191. (CXX) g++ options: -march=native -O3 -lpthread

Montage Astronomical Image Mosaic Engine

Montage is an open-source astronomical image mosaic engine. This BSD-licensed astronomy software is developed by the California Institute of Technology, Pasadena. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.03, N = 3SE +/- 0.84, N = 3SE +/- 1.29, N = 385.8186.2285.181. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degLinux 5.5Linux 5.8Linux 5.91632486480Min: 85.76 / Avg: 85.81 / Max: 85.85Min: 85.27 / Avg: 86.22 / Max: 87.9Min: 83.45 / Avg: 85.18 / Max: 87.71. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

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: 10Linux 5.5Linux 5.8Linux 5.9246810SE +/- 0.011, N = 3SE +/- 0.010, N = 3SE +/- 0.008, N = 37.2137.2657.3011. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.5Linux 5.8Linux 5.93691215Min: 7.2 / Avg: 7.21 / Max: 7.24Min: 7.25 / Avg: 7.26 / Max: 7.28Min: 7.29 / Avg: 7.3 / Max: 7.311. (CXX) g++ options: -O3 -fPIC

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownLinux 5.5Linux 5.8Linux 5.91.20632.41263.61894.82526.0315SE +/- 0.0622, N = 3SE +/- 0.0542, N = 3SE +/- 0.0246, N = 35.29765.33195.3615MIN: 5.15 / MAX: 5.5MIN: 5.18 / MAX: 5.49MIN: 5.29 / MAX: 5.48
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: CrownLinux 5.5Linux 5.8Linux 5.9246810Min: 5.2 / Avg: 5.3 / Max: 5.41Min: 5.23 / Avg: 5.33 / Max: 5.41Min: 5.33 / Avg: 5.36 / Max: 5.41

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.5Linux 5.8Linux 5.94080120160200SE +/- 0.50, N = 3SE +/- 0.75, N = 3SE +/- 0.20, N = 3181.60182.54183.771. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.5Linux 5.8Linux 5.9306090120150Min: 180.61 / Avg: 181.6 / Max: 182.28Min: 181.05 / Avg: 182.54 / Max: 183.41Min: 183.56 / Avg: 183.77 / Max: 184.181. (CXX) g++ options: -O3 -fPIC

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 8 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.930060090012001500SE +/- 2.33, N = 3SE +/- 22.34, N = 3SE +/- 9.33, N = 31537151915351. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 8 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.930060090012001500Min: 1535 / Avg: 1537.33 / Max: 1542Min: 1474 / Avg: 1518.67 / Max: 1542Min: 1516 / Avg: 1534.67 / Max: 15441. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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 TimeLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.62, N = 3SE +/- 0.44, N = 3SE +/- 0.55, N = 374.8974.3874.01
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeLinux 5.5Linux 5.8Linux 5.91428425670Min: 73.79 / Avg: 74.89 / Max: 75.93Min: 73.85 / Avg: 74.38 / Max: 75.25Min: 73 / Avg: 74.01 / Max: 74.91

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 CommandsLinux 5.5Linux 5.8Linux 5.91122334455SE +/- 0.21, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 350.2050.4650.761. git version 2.20.1
OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsLinux 5.5Linux 5.8Linux 5.91020304050Min: 49.96 / Avg: 50.2 / Max: 50.62Min: 50.37 / Avg: 50.46 / Max: 50.55Min: 50.58 / Avg: 50.76 / Max: 51.091. git version 2.20.1

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 4.4.1Linux 5.5Linux 5.8Linux 5.9246810SE +/- 0.050, N = 5SE +/- 0.016, N = 5SE +/- 0.060, N = 58.8578.8518.946
OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 4.4.1Linux 5.5Linux 5.8Linux 5.93691215Min: 8.8 / Avg: 8.86 / Max: 9.06Min: 8.81 / Avg: 8.85 / Max: 8.88Min: 8.85 / Avg: 8.95 / Max: 9.19

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 8 - Input: 1080pLinux 5.5Linux 5.8Linux 5.93691215SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 311.7911.6611.691. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie
OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 0.8Encoder Mode: Enc Mode 8 - Input: 1080pLinux 5.5Linux 5.8Linux 5.93691215Min: 11.76 / Avg: 11.79 / Max: 11.8Min: 11.61 / Avg: 11.66 / Max: 11.73Min: 11.67 / Avg: 11.69 / Max: 11.711. (CXX) g++ options: -O3 -fcommon -fPIE -fPIC -pie

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 1.66, N = 3SE +/- 0.45, N = 3SE +/- 1.08, N = 3100.33101.35100.811. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 TimesLinux 5.5Linux 5.8Linux 5.920406080100Min: 97.95 / Avg: 100.33 / Max: 103.54Min: 100.67 / Avg: 101.35 / Max: 102.21Min: 99.13 / Avg: 100.81 / Max: 102.841. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.5Linux 5.8Linux 5.90.67951.3592.03852.7183.3975SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 33.023.002.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.5Linux 5.8Linux 5.9246810Min: 3 / Avg: 3.02 / Max: 3.03Min: 2.99 / Avg: 3 / Max: 3.01Min: 2.99 / Avg: 2.99 / Max: 31. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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: Chimera 1080p 10-bitLinux 5.5Linux 5.8Linux 5.91632486480SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 369.1469.8369.53MIN: 46.37 / MAX: 154.92MIN: 46.93 / MAX: 154.96MIN: 46.6 / MAX: 155.091. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Chimera 1080p 10-bitLinux 5.5Linux 5.8Linux 5.91428425670Min: 68.8 / Avg: 69.14 / Max: 69.43Min: 69.77 / Avg: 69.83 / Max: 69.92Min: 69.42 / Avg: 69.53 / Max: 69.691. (CC) gcc options: -pthread

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 RandomLinux 5.5Linux 5.8Linux 5.91.01612.03223.04834.06445.0805SE +/- 0.022, N = 3SE +/- 0.038, N = 3SE +/- 0.025, N = 34.4984.5164.4721. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Seek RandomLinux 5.5Linux 5.8Linux 5.9246810Min: 4.46 / Avg: 4.5 / Max: 4.53Min: 4.44 / Avg: 4.52 / Max: 4.57Min: 4.43 / Avg: 4.47 / Max: 4.521. (CXX) g++ options: -O3 -lsnappy -lpthread

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 6.0.16Linux 5.5Linux 5.8Linux 5.990K180K270K360K450KSE +/- 1460.76, N = 3SE +/- 3779.81, N = 3SE +/- 3058.71, N = 3406172.88402813.03406734.841. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.5Linux 5.8Linux 5.970K140K210K280K350KMin: 403251.54 / Avg: 406172.88 / Max: 407661.89Min: 395265.95 / Avg: 402813.03 / Max: 406963.36Min: 400619.05 / Avg: 406734.84 / Max: 409914.681. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: MeowHashLinux 5.5Linux 5.8Linux 5.96K12K18K24K30KSE +/- 87.52, N = 3SE +/- 83.37, N = 3SE +/- 151.85, N = 327681.0027426.5427426.501. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: MeowHashLinux 5.5Linux 5.8Linux 5.95K10K15K20K25KMin: 27551.3 / Avg: 27681 / Max: 27847.66Min: 27293.47 / Avg: 27426.54 / Max: 27580.08Min: 27165.99 / Avg: 27426.5 / Max: 27691.961. (CXX) g++ options: -march=native -O3 -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.5Linux 5.8Linux 5.960120180240300SE +/- 0.32, N = 3SE +/- 1.24, N = 3SE +/- 0.16, N = 3264.92266.53264.09MIN: 263.52 / MAX: 266.67MIN: 263.14 / MAX: 268.72MIN: 263.08 / MAX: 265.431. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.5Linux 5.8Linux 5.950100150200250Min: 264.29 / Avg: 264.92 / Max: 265.28Min: 264.07 / Avg: 266.53 / Max: 268Min: 263.78 / Avg: 264.09 / Max: 264.341. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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_templateLinux 5.5Linux 5.8Linux 5.91224364860SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 354.655.154.7
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateLinux 5.5Linux 5.8Linux 5.91122334455Min: 54.3 / Avg: 54.6 / Max: 54.8Min: 55 / Avg: 55.13 / Max: 55.3Min: 54.7 / Avg: 54.73 / Max: 54.8

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: 19Linux 5.5Linux 5.8Linux 5.9510152025SE +/- 0.24, N = 15SE +/- 0.19, N = 15SE +/- 0.27, N = 322.322.422.51. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.5Linux 5.8Linux 5.9510152025Min: 20.6 / Avg: 22.28 / Max: 23Min: 21 / Avg: 22.35 / Max: 23Min: 22 / Avg: 22.53 / Max: 22.81. (CC) gcc options: -O3 -pthread -lz -llzma

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeLinux 5.5Linux 5.8Linux 5.92M4M6M8M10MSE +/- 29532.37, N = 3SE +/- 13060.78, N = 3SE +/- 16789.06, N = 37904901786388278353551. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeLinux 5.5Linux 5.8Linux 5.91.4M2.8M4.2M5.6M7MMin: 7857805 / Avg: 7904901 / Max: 7959319Min: 7838149 / Avg: 7863881.67 / Max: 7880637Min: 7811895 / Avg: 7835355.33 / Max: 78678901. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.5Linux 5.8Linux 5.9918273645SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 337.2737.3537.601. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.5Linux 5.8Linux 5.9816243240Min: 37.18 / Avg: 37.27 / Max: 37.42Min: 37.24 / Avg: 37.35 / Max: 37.44Min: 37.53 / Avg: 37.6 / Max: 37.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -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: floatLinux 5.5Linux 5.8Linux 5.9306090120150114114113

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: 200Linux 5.5Linux 5.8Linux 5.920K40K60K80K100KSE +/- 337.03, N = 3SE +/- 240.96, N = 3SE +/- 455.59, N = 31142921140381150451. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.5Linux 5.8Linux 5.920K40K60K80K100KMin: 113773 / Avg: 114292 / Max: 114924Min: 113652 / Avg: 114038.33 / Max: 114481Min: 114345 / Avg: 115044.67 / Max: 1159001. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SLinux 5.5Linux 5.8Linux 5.91632486480SE +/- 0.20, N = 3SE +/- 0.04, N = 3SE +/- 0.29, N = 371.7172.3372.321. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: ETC1SLinux 5.5Linux 5.8Linux 5.91428425670Min: 71.47 / Avg: 71.71 / Max: 72.1Min: 72.26 / Avg: 72.33 / Max: 72.4Min: 71.79 / Avg: 72.32 / Max: 72.781. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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 9.0.3+dfsgProcessing 60 Page PDF DocumentLinux 5.5Linux 5.8Linux 5.91224364860SE +/- 0.65, N = 3SE +/- 0.15, N = 3SE +/- 0.07, N = 351.4050.9850.97
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.0.3+dfsgProcessing 60 Page PDF DocumentLinux 5.5Linux 5.8Linux 5.91020304050Min: 50.67 / Avg: 51.4 / Max: 52.7Min: 50.71 / Avg: 50.98 / Max: 51.22Min: 50.86 / Avg: 50.97 / Max: 51.1

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: vklBenchmarkLinux 5.5Linux 5.8Linux 5.91326395265SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 356.3956.3655.92MIN: 1 / MAX: 217MIN: 1 / MAX: 216MIN: 1 / MAX: 215
OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 0.9Benchmark: vklBenchmarkLinux 5.5Linux 5.8Linux 5.91122334455Min: 56.17 / Avg: 56.39 / Max: 56.67Min: 56.25 / Avg: 56.36 / Max: 56.42Min: 55.75 / Avg: 55.92 / Max: 56

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: 8Linux 5.5Linux 5.8Linux 5.9246810SE +/- 0.004, N = 3SE +/- 0.031, N = 3SE +/- 0.010, N = 37.8367.8757.9001. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.5Linux 5.8Linux 5.93691215Min: 7.83 / Avg: 7.84 / Max: 7.84Min: 7.83 / Avg: 7.87 / Max: 7.94Min: 7.89 / Avg: 7.9 / Max: 7.921. (CXX) g++ options: -O3 -fPIC

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 CompileLinux 5.5Linux 5.8Linux 5.94080120160200SE +/- 2.32, N = 4SE +/- 2.15, N = 5SE +/- 1.95, N = 3176.91176.11177.53
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileLinux 5.5Linux 5.8Linux 5.9306090120150Min: 174.25 / Avg: 176.91 / Max: 183.85Min: 173.37 / Avg: 176.11 / Max: 184.68Min: 175.38 / Avg: 177.53 / Max: 181.43

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 CompileLinux 5.5Linux 5.8Linux 5.930060090012001500SE +/- 0.99, N = 3SE +/- 0.82, N = 3SE +/- 0.93, N = 31322.141329.611332.62
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.5Linux 5.8Linux 5.92004006008001000Min: 1320.15 / Avg: 1322.14 / Max: 1323.17Min: 1328.19 / Avg: 1329.61 / Max: 1331.05Min: 1330.76 / Avg: 1332.62 / Max: 1333.57

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 CompileLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.08, N = 3SE +/- 0.31, N = 3SE +/- 0.15, N = 3103.12102.96103.76
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 7.4.2Time To CompileLinux 5.5Linux 5.8Linux 5.920406080100Min: 103.02 / Avg: 103.12 / Max: 103.28Min: 102.33 / Avg: 102.96 / Max: 103.3Min: 103.61 / Avg: 103.76 / Max: 104.05

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 1080pLinux 5.5Linux 5.8Linux 5.960120180240300SE +/- 1.70, N = 3SE +/- 1.41, N = 3SE +/- 1.69, N = 3284.75286.93285.45MIN: 262.56 / MAX: 313.43MIN: 262.62 / MAX: 315.68MIN: 265.51 / MAX: 314.651. (CC) gcc options: -pthread
OpenBenchmarking.orgFPS, More Is Betterdav1d 0.7.0Video Input: Summer Nature 1080pLinux 5.5Linux 5.8Linux 5.950100150200250Min: 282.18 / Avg: 284.75 / Max: 287.98Min: 285.04 / Avg: 286.93 / Max: 289.68Min: 283.18 / Avg: 285.45 / Max: 288.751. (CC) gcc options: -pthread

Tensorflow

This is a benchmark of the Tensorflow deep learning framework using the CIFAR10 data set. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTensorflowBuild: Cifar10Linux 5.5Linux 5.8Linux 5.9306090120150SE +/- 0.34, N = 3SE +/- 0.17, N = 3SE +/- 0.38, N = 3113.83114.69114.39
OpenBenchmarking.orgSeconds, Fewer Is BetterTensorflowBuild: Cifar10Linux 5.5Linux 5.8Linux 5.920406080100Min: 113.4 / Avg: 113.83 / Max: 114.51Min: 114.46 / Avg: 114.69 / Max: 115.02Min: 113.64 / Avg: 114.39 / Max: 114.81

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: DefaultLinux 5.5Linux 5.8Linux 5.90.36160.72321.08481.44641.808SE +/- 0.010, N = 3SE +/- 0.003, N = 3SE +/- 0.008, N = 31.6071.5951.5991. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.5Linux 5.8Linux 5.9246810Min: 1.6 / Avg: 1.61 / Max: 1.63Min: 1.59 / Avg: 1.6 / Max: 1.6Min: 1.59 / Avg: 1.6 / Max: 1.621. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Crush 0 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.9120240360480600SE +/- 1.76, N = 3SE +/- 1.86, N = 35405395431. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Crush 0 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.9100200300400500Min: 537 / Avg: 539.67 / Max: 543Min: 537 / Avg: 539.33 / Max: 5431. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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: 2Linux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.05, N = 3SE +/- 0.21, N = 3SE +/- 0.04, N = 3107.37108.13107.971. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.5Linux 5.8Linux 5.920406080100Min: 107.27 / Avg: 107.37 / Max: 107.45Min: 107.72 / Avg: 108.13 / Max: 108.39Min: 107.9 / Avg: 107.97 / Max: 108.021. (CXX) g++ options: -O3 -fPIC

Timed FFmpeg Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileLinux 5.5Linux 5.8Linux 5.9306090120150SE +/- 0.44, N = 3SE +/- 1.15, N = 3SE +/- 0.50, N = 3128.77128.89127.98
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileLinux 5.5Linux 5.8Linux 5.920406080100Min: 127.89 / Avg: 128.77 / Max: 129.29Min: 126.6 / Avg: 128.89 / Max: 130.28Min: 127.29 / Avg: 127.98 / Max: 128.95

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 CompressionLinux 5.5Linux 5.8Linux 5.9918273645SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 339.7640.0240.031. (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 CompressionLinux 5.5Linux 5.8Linux 5.9816243240Min: 39.69 / Avg: 39.75 / Max: 39.82Min: 39.87 / Avg: 40.02 / Max: 40.11Min: 39.81 / Avg: 40.03 / Max: 40.141. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: FastLinux 5.5Linux 5.8Linux 5.9246810SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 37.647.697.661. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastLinux 5.5Linux 5.8Linux 5.93691215Min: 7.63 / Avg: 7.64 / Max: 7.64Min: 7.65 / Avg: 7.69 / Max: 7.74Min: 7.65 / Avg: 7.66 / Max: 7.681. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -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: shufflenet-v2Linux 5.5Linux 5.8Linux 5.91.082.163.244.325.4SE +/- 0.01, N = 12SE +/- 0.01, N = 3SE +/- 0.01, N = 34.804.774.78MIN: 4.53 / MAX: 8.77MIN: 4.54 / MAX: 6.24MIN: 4.71 / MAX: 7.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.5Linux 5.8Linux 5.9246810Min: 4.75 / Avg: 4.8 / Max: 4.86Min: 4.76 / Avg: 4.77 / Max: 4.79Min: 4.77 / Avg: 4.78 / Max: 4.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 0 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.9140280420560700SE +/- 4.51, N = 3SE +/- 3.06, N = 3SE +/- 0.58, N = 36446436471. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 0 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.9110220330440550Min: 635 / Avg: 644 / Max: 649Min: 637 / Avg: 643 / Max: 647Min: 646 / Avg: 647 / Max: 6481. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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 2Linux 5.5Linux 5.8Linux 5.99M18M27M36M45MSE +/- 312330.40, N = 3SE +/- 308202.41, N = 3SE +/- 221697.99, N = 343087970.343342185.343235594.2
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.5Linux 5.8Linux 5.98M16M24M32M40MMin: 42464311.1 / Avg: 43087970.27 / Max: 43430422.8Min: 42725845 / Avg: 43342185.33 / Max: 43658076.8Min: 42793139.1 / Avg: 43235594.17 / Max: 43481824.3

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonLinux 5.5Linux 5.8Linux 5.91.24992.49983.74974.99966.2495SE +/- 0.0086, N = 3SE +/- 0.0139, N = 3SE +/- 0.0176, N = 35.52315.53705.5551MIN: 5.47 / MAX: 5.63MIN: 5.48 / MAX: 5.65MIN: 5.49 / MAX: 5.66
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian DragonLinux 5.5Linux 5.8Linux 5.9246810Min: 5.51 / Avg: 5.52 / Max: 5.54Min: 5.51 / Avg: 5.54 / Max: 5.56Min: 5.52 / Avg: 5.56 / Max: 5.58

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 1.62, N = 3SE +/- 0.04, N = 3SE +/- 0.19, N = 397.5597.0097.52
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.5Linux 5.8Linux 5.920406080100Min: 95.49 / Avg: 97.55 / Max: 100.74Min: 96.95 / Avg: 97 / Max: 97.09Min: 97.32 / Avg: 97.52 / Max: 97.89

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_compileLinux 5.5Linux 5.8Linux 5.94080120160200SE +/- 0.67, N = 3178179178
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileLinux 5.5Linux 5.8Linux 5.9306090120150Min: 177 / Avg: 178.33 / Max: 179

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Linux 5.5Linux 5.8Linux 5.9306090120150SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.04, N = 3145.42146.17145.371. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 3Linux 5.5Linux 5.8Linux 5.9306090120150Min: 145.38 / Avg: 145.42 / Max: 145.45Min: 145.92 / Avg: 146.17 / Max: 146.67Min: 145.28 / Avg: 145.37 / Max: 145.421. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkLinux 5.5Linux 5.8Linux 5.920K40K60K80K100KSE +/- 9.92, N = 3SE +/- 167.76, N = 3SE +/- 19.41, N = 3114246.8114876.5114720.61. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi
OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid BenchmarkLinux 5.5Linux 5.8Linux 5.920K40K60K80K100KMin: 114235.8 / Avg: 114246.8 / Max: 114266.6Min: 114622.8 / Avg: 114876.5 / Max: 115193.5Min: 114683.9 / Avg: 114720.63 / Max: 114749.91. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

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 TimeLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 390.5391.0190.921. RawTherapee, version 5.6, command line.
OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeLinux 5.5Linux 5.8Linux 5.920406080100Min: 90.52 / Avg: 90.53 / Max: 90.57Min: 90.95 / Avg: 91.01 / Max: 91.06Min: 90.89 / Avg: 90.92 / Max: 90.941. RawTherapee, version 5.6, command line.

Timed MPlayer Compilation

This test times how long it takes to build the MPlayer open-source media player program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 384.9384.5084.88
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MPlayer Compilation 1.4Time To CompileLinux 5.5Linux 5.8Linux 5.91632486480Min: 84.87 / Avg: 84.92 / Max: 84.97Min: 84.44 / Avg: 84.5 / Max: 84.56Min: 84.78 / Avg: 84.88 / Max: 85.02

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjLinux 5.5Linux 5.8Linux 5.91.32712.65423.98135.30846.6355SE +/- 0.0151, N = 3SE +/- 0.0298, N = 3SE +/- 0.0206, N = 35.86975.89325.8980MIN: 5.81 / MAX: 5.98MIN: 5.81 / MAX: 6.01MIN: 5.84 / MAX: 6.02
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer ISPC - Model: Asian Dragon ObjLinux 5.5Linux 5.8Linux 5.9246810Min: 5.84 / Avg: 5.87 / Max: 5.89Min: 5.85 / Avg: 5.89 / Max: 5.95Min: 5.88 / Avg: 5.9 / Max: 5.94

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: vgg16Linux 5.5Linux 5.8Linux 5.9306090120150SE +/- 0.21, N = 12SE +/- 0.55, N = 3SE +/- 0.57, N = 3112.61112.10112.08MIN: 110.8 / MAX: 134.47MIN: 110.88 / MAX: 124.77MIN: 110.66 / MAX: 125.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.5Linux 5.8Linux 5.920406080100Min: 111.48 / Avg: 112.61 / Max: 113.81Min: 111.53 / Avg: 112.1 / Max: 113.19Min: 111.4 / Avg: 112.08 / Max: 113.21. (CXX) g++ options: -O3 -rdynamic -lgomp -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: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.5Linux 5.8Linux 5.960K120K180K240K300KSE +/- 382.96, N = 3SE +/- 130.89, N = 3SE +/- 274.86, N = 32682832695472692491. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.5Linux 5.8Linux 5.950K100K150K200K250KMin: 267673 / Avg: 268282.67 / Max: 268989Min: 269331 / Avg: 269546.67 / Max: 269783Min: 268721 / Avg: 269248.67 / Max: 2696461. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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_loadsLinux 5.5Linux 5.8Linux 5.9510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 321.921.922.0
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsLinux 5.5Linux 5.8Linux 5.9510152025Min: 21.8 / Avg: 21.87 / Max: 21.9Min: 21.8 / Avg: 21.9 / Max: 22Min: 21.9 / Avg: 21.97 / Max: 22

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownLinux 5.5Linux 5.8Linux 5.91.06812.13623.20434.27245.3405SE +/- 0.0164, N = 3SE +/- 0.0140, N = 3SE +/- 0.0084, N = 34.74694.72574.7315MIN: 4.69 / MAX: 4.83MIN: 4.68 / MAX: 4.8MIN: 4.69 / MAX: 4.82
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: CrownLinux 5.5Linux 5.8Linux 5.9246810Min: 4.72 / Avg: 4.75 / Max: 4.77Min: 4.7 / Avg: 4.73 / Max: 4.75Min: 4.72 / Avg: 4.73 / Max: 4.75

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjLinux 5.5Linux 5.8Linux 5.91.17492.34983.52474.69965.8745SE +/- 0.0102, N = 3SE +/- 0.0190, N = 3SE +/- 0.0118, N = 35.19915.20955.2218MIN: 5.16 / MAX: 5.26MIN: 5.16 / MAX: 5.28MIN: 5.18 / MAX: 5.29
OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 3.9.0Binary: Pathtracer - Model: Asian Dragon ObjLinux 5.5Linux 5.8Linux 5.9246810Min: 5.18 / Avg: 5.2 / Max: 5.22Min: 5.17 / Avg: 5.21 / Max: 5.24Min: 5.2 / Avg: 5.22 / Max: 5.24

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256Linux 5.5Linux 5.8Linux 5.98001600240032004000SE +/- 3.81, N = 3SE +/- 0.49, N = 3SE +/- 14.35, N = 33896.033912.503897.741. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: AES-256Linux 5.5Linux 5.8Linux 5.97001400210028003500Min: 3888.5 / Avg: 3896.03 / Max: 3900.81Min: 3911.52 / Avg: 3912.5 / Max: 3913.02Min: 3869.04 / Avg: 3897.73 / Max: 3912.791. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 1 - Process: CompressionLinux 5.5Linux 5.8Linux 5.9110220330440550SE +/- 0.88, N = 3SE +/- 0.33, N = 34995015011. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 1 - Process: CompressionLinux 5.5Linux 5.8Linux 5.990180270360450Min: 498 / Avg: 499.33 / Max: 501Min: 501 / Avg: 501.33 / Max: 5021. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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: 100Linux 5.5Linux 5.8Linux 5.930K60K90K120K150KSE +/- 100.38, N = 3SE +/- 106.27, N = 3SE +/- 222.73, N = 31340391345431343271. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.5Linux 5.8Linux 5.920K40K60K80K100KMin: 133908 / Avg: 134038.67 / Max: 134236Min: 134405 / Avg: 134543 / Max: 134752Min: 133882 / Avg: 134326.67 / Max: 1345721. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 MetricLinux 5.5Linux 5.8Linux 5.910K20K30K40K50K4861048451486311. (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 -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

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, LosslessLinux 5.5Linux 5.8Linux 5.948121620SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 316.9516.8916.891. (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, LosslessLinux 5.5Linux 5.8Linux 5.948121620Min: 16.93 / Avg: 16.95 / Max: 16.98Min: 16.86 / Avg: 16.89 / Max: 16.91Min: 16.82 / Avg: 16.89 / Max: 16.931. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 BenchmarkLinux 5.5Linux 5.8Linux 5.9714212835SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 331.6231.5231.521. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.5Linux 5.8Linux 5.9714212835Min: 31.43 / Avg: 31.62 / Max: 31.77Min: 31.5 / Avg: 31.52 / Max: 31.54Min: 31.45 / Avg: 31.52 / Max: 31.581. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -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: 2to3Linux 5.5Linux 5.8Linux 5.970140210280350SE +/- 0.33, N = 3324324325
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Linux 5.5Linux 5.8Linux 5.960120180240300Min: 324 / Avg: 324.33 / Max: 325

Basis Universal

Basis Universal is a GPU texture codoec. This test times how long it takes to convert sRGB PNGs into Basis Univeral assets with various settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Linux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.23, N = 374.2474.2874.461. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterBasis Universal 1.12Settings: UASTC Level 2Linux 5.5Linux 5.8Linux 5.91428425670Min: 74.06 / Avg: 74.24 / Max: 74.44Min: 74.11 / Avg: 74.28 / Max: 74.37Min: 74.21 / Avg: 74.46 / Max: 74.931. (CXX) g++ options: -std=c++11 -fvisibility=hidden -fPIC -fno-strict-aliasing -O3 -rdynamic -lm -lpthread

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: FLOATLinux 5.5Linux 5.8Linux 5.990M180M270M360M450MSE +/- 1057036.84, N = 3SE +/- 163725.59, N = 3SE +/- 731994.16, N = 3402761427.93403395535.75402298795.131. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.5Linux 5.8Linux 5.970M140M210M280M350MMin: 400650636.76 / Avg: 402761427.93 / Max: 403918809.32Min: 403068086.18 / Avg: 403395535.75 / Max: 403560150.19Min: 400965485.02 / Avg: 402298795.13 / Max: 403489052.571. (CC) gcc options: -O3 -march=native -lm

AOM AV1

This is a simple test of the AOMedia AV1 encoder run on the CPU with a sample video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.5Linux 5.8Linux 5.948121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 314.8814.9014.861. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.5Linux 5.8Linux 5.948121620Min: 14.83 / Avg: 14.88 / Max: 14.92Min: 14.85 / Avg: 14.9 / Max: 14.93Min: 14.8 / Avg: 14.86 / Max: 14.91. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesLinux 5.5Linux 5.8Linux 5.9510152025SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 319.2519.2019.201. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 TimesLinux 5.5Linux 5.8Linux 5.9510152025Min: 19.23 / Avg: 19.25 / Max: 19.27Min: 19.17 / Avg: 19.2 / Max: 19.26Min: 19.2 / Avg: 19.2 / Max: 19.211. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 V4Linux 5.5Linux 5.8Linux 5.91.5M3M4.5M6M7.5MSE +/- 2314.20, N = 3SE +/- 2182.51, N = 3SE +/- 3059.62, N = 3691237369295776930130
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.5Linux 5.8Linux 5.91.2M2.4M3.6M4.8M6MMin: 6908030 / Avg: 6912373.33 / Max: 6915930Min: 6927290 / Avg: 6929576.67 / Max: 6933940Min: 6926660 / Avg: 6930130 / Max: 6936230

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 BenchmarkLinux 5.5Linux 5.8Linux 5.90.09160.18320.27480.36640.458SE +/- 0.007, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 30.4070.4070.4061. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.5Linux 5.8Linux 5.912345Min: 0.4 / Avg: 0.41 / Max: 0.42Min: 0.4 / Avg: 0.41 / Max: 0.41Min: 0.4 / Avg: 0.41 / Max: 0.411. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

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 FloatLinux 5.5Linux 5.8Linux 5.970K140K210K280K350KSE +/- 110.64, N = 3SE +/- 48.22, N = 3SE +/- 158.62, N = 3324779325562325294
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.5Linux 5.8Linux 5.960K120K180K240K300KMin: 324592 / Avg: 324779.33 / Max: 324975Min: 325494 / Avg: 325561.67 / Max: 325655Min: 325008 / Avg: 325293.67 / Max: 325556

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: 100Linux 5.5Linux 5.8Linux 5.912K24K36K48K60KSE +/- 180.61, N = 3SE +/- 105.64, N = 3SE +/- 101.77, N = 35705957084569491. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.5Linux 5.8Linux 5.910K20K30K40K50KMin: 56817 / Avg: 57058.67 / Max: 57412Min: 56935 / Avg: 57083.67 / Max: 57288Min: 56746 / Avg: 56949.33 / Max: 570591. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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_pythonLinux 5.5Linux 5.8Linux 5.9100200300400500SE +/- 0.67, N = 3SE +/- 0.33, N = 3440441441
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonLinux 5.5Linux 5.8Linux 5.980160240320400Min: 439 / Avg: 439.67 / Max: 441Min: 440 / Avg: 440.67 / Max: 441

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: wyhashLinux 5.5Linux 5.8Linux 5.93K6K9K12K15KSE +/- 73.24, N = 3SE +/- 63.46, N = 3SE +/- 56.63, N = 314488.9614512.0814521.091. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: wyhashLinux 5.5Linux 5.8Linux 5.93K6K9K12K15KMin: 14345.68 / Avg: 14488.96 / Max: 14586.97Min: 14423.41 / Avg: 14512.08 / Max: 14635.05Min: 14427.91 / Avg: 14521.09 / Max: 14623.451. (CXX) g++ options: -march=native -O3 -lpthread

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 0 - Process: CompressionLinux 5.5Linux 5.8Linux 5.9100200300400500SE +/- 0.58, N = 3SE +/- 1.00, N = 34694704701. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 0 - Process: CompressionLinux 5.5Linux 5.8Linux 5.980160240320400Min: 468 / Avg: 469 / Max: 470Min: 468 / Avg: 470 / Max: 4711. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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: SqueezeNetLinux 5.5Linux 5.8Linux 5.9100K200K300K400K500KSE +/- 20.10, N = 3SE +/- 91.46, N = 3SE +/- 138.33, N = 3478990479932480001
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.5Linux 5.8Linux 5.980K160K240K320K400KMin: 478960 / Avg: 478989.67 / Max: 479028Min: 479823 / Avg: 479932.33 / Max: 480114Min: 479749 / Avg: 480000.67 / Max: 480226

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.5Linux 5.8Linux 5.91.3M2.6M3.9M5.2M6.5MSE +/- 4356.29, N = 3SE +/- 2779.23, N = 3SE +/- 2290.53, N = 3625218062650006259830
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.5Linux 5.8Linux 5.91.1M2.2M3.3M4.4M5.5MMin: 6243810 / Avg: 6252180 / Max: 6258460Min: 6259990 / Avg: 6265000 / Max: 6269590Min: 6255270 / Avg: 6259830 / Max: 6262490

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 v1.1Linux 5.5Linux 5.8Linux 5.950100150200250SE +/- 0.18, N = 3SE +/- 0.16, N = 3SE +/- 0.15, N = 3250.74250.23250.70MIN: 250.18 / MAX: 254.51MIN: 249.76 / MAX: 250.74MIN: 250.15 / MAX: 252.321. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.5Linux 5.8Linux 5.950100150200250Min: 250.41 / Avg: 250.74 / Max: 251.01Min: 250.03 / Avg: 250.23 / Max: 250.56Min: 250.45 / Avg: 250.7 / Max: 250.961. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: Spooky32Linux 5.5Linux 5.8Linux 5.93K6K9K12K15KSE +/- 7.17, N = 3SE +/- 3.47, N = 3SE +/- 32.60, N = 312487.9812494.3812469.321. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: Spooky32Linux 5.5Linux 5.8Linux 5.92K4K6K8K10KMin: 12473.85 / Avg: 12487.98 / Max: 12497.22Min: 12487.73 / Avg: 12494.38 / Max: 12499.45Min: 12404.14 / Avg: 12469.32 / Max: 12502.811. (CXX) g++ options: -march=native -O3 -lpthread

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: MD5Linux 5.5Linux 5.8Linux 5.9100K200K300K400K500KSE +/- 128.88, N = 3SE +/- 654.88, N = 3SE +/- 187.17, N = 34862464852994860501. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: MD5Linux 5.5Linux 5.8Linux 5.980K160K240K320K400KMin: 486092 / Avg: 486246 / Max: 486502Min: 483993 / Avg: 485298.67 / Max: 486041Min: 485760 / Avg: 486050 / Max: 4864001. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt

Tachyon

This is a test of the threaded Tachyon, a parallel ray-tracing system, measuring the time to ray-trace a sample scene. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeLinux 5.5Linux 5.8Linux 5.950100150200250SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3242.21242.56242.661. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTachyon 0.99b6Total TimeLinux 5.5Linux 5.8Linux 5.94080120160200Min: 242.14 / Avg: 242.21 / Max: 242.27Min: 242.39 / Avg: 242.56 / Max: 242.76Min: 242.44 / Avg: 242.66 / Max: 242.831. (CC) gcc options: -m64 -O3 -fomit-frame-pointer -ffast-math -ltachyon -lm -lpthread

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 MobileLinux 5.5Linux 5.8Linux 5.970K140K210K280K350KSE +/- 209.39, N = 3SE +/- 153.39, N = 3SE +/- 206.84, N = 3347219347818347722
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.5Linux 5.8Linux 5.960K120K180K240K300KMin: 346801 / Avg: 347218.67 / Max: 347454Min: 347542 / Avg: 347818 / Max: 348072Min: 347308 / Avg: 347721.67 / Max: 347930

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 100Linux 5.5Linux 5.8Linux 5.90.54681.09361.64042.18722.734SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.004, N = 32.4302.4262.4301. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.5Linux 5.8Linux 5.9246810Min: 2.42 / Avg: 2.43 / Max: 2.44Min: 2.42 / Avg: 2.43 / Max: 2.43Min: 2.42 / Avg: 2.43 / Max: 2.441. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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: ThoroughLinux 5.5Linux 5.8Linux 5.91530456075SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 369.4669.5669.501. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.5Linux 5.8Linux 5.91326395265Min: 69.45 / Avg: 69.46 / Max: 69.49Min: 69.52 / Avg: 69.56 / Max: 69.59Min: 69.48 / Avg: 69.5 / Max: 69.541. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 QuantLinux 5.5Linux 5.8Linux 5.970K140K210K280K350KSE +/- 110.18, N = 3SE +/- 114.85, N = 3SE +/- 2.08, N = 3312183312621312321
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.5Linux 5.8Linux 5.950K100K150K200K250KMin: 312022 / Avg: 312183.33 / Max: 312394Min: 312391 / Avg: 312620.67 / Max: 312739Min: 312317 / Avg: 312321 / Max: 312324

System GZIP Decompression

This simple test measures the time to decompress a gzipped tarball (the Qt5 toolkit source package). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.5Linux 5.8Linux 5.90.65251.3051.95752.613.2625SE +/- 0.023, N = 13SE +/- 0.022, N = 14SE +/- 0.025, N = 132.8962.8992.900
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.5Linux 5.8Linux 5.9246810Min: 2.87 / Avg: 2.9 / Max: 3.18Min: 2.87 / Avg: 2.9 / Max: 3.19Min: 2.87 / Avg: 2.9 / Max: 3.2

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishLinux 5.5Linux 5.8Linux 5.990180270360450SE +/- 0.06, N = 3SE +/- 0.53, N = 3SE +/- 0.20, N = 3435.75435.15435.571. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: BlowfishLinux 5.5Linux 5.8Linux 5.980160240320400Min: 435.63 / Avg: 435.75 / Max: 435.84Min: 434.1 / Avg: 435.15 / Max: 435.73Min: 435.17 / Avg: 435.57 / Max: 435.831. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 2 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.9160320480640800SE +/- 1.20, N = 3SE +/- 0.67, N = 3SE +/- 1.20, N = 37557557541. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 2 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.9130260390520650Min: 753 / Avg: 754.67 / Max: 757Min: 754 / Avg: 755.33 / Max: 756Min: 752 / Avg: 754.33 / Max: 7561. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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: ExhaustiveLinux 5.5Linux 5.8Linux 5.9120240360480600SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.08, N = 3567.08567.82567.171. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.5Linux 5.8Linux 5.9100200300400500Min: 567.05 / Avg: 567.08 / Max: 567.12Min: 567.48 / Avg: 567.82 / Max: 568.04Min: 567.02 / Avg: 567.17 / Max: 567.271. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.5Linux 5.8Linux 5.91224364860SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.10, N = 355.3255.2555.29
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.5Linux 5.8Linux 5.91122334455Min: 55.13 / Avg: 55.32 / Max: 55.61Min: 55.08 / Avg: 55.25 / Max: 55.51Min: 55.1 / Avg: 55.29 / Max: 55.43

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceLinux 5.5Linux 5.8Linux 5.91020304050SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 342.9842.9642.931. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha2_atonceLinux 5.5Linux 5.8Linux 5.9918273645Min: 42.95 / Avg: 42.98 / Max: 43.03Min: 42.95 / Avg: 42.96 / Max: 42.96Min: 42.89 / Avg: 42.93 / Max: 42.951. (CXX) g++ options: -march=native -O3 -lpthread

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: BlowfishLinux 5.5Linux 5.8Linux 5.916003200480064008000SE +/- 8.01, N = 3SE +/- 2.33, N = 3SE +/- 5.81, N = 37584759175821. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt
OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 1.9.0-jumbo-1Test: BlowfishLinux 5.5Linux 5.8Linux 5.913002600390052006500Min: 7569 / Avg: 7584.33 / Max: 7596Min: 7586 / Avg: 7590.67 / Max: 7593Min: 7571 / Avg: 7581.67 / Max: 75911. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -pthread -lm -lz -ldl -lcrypt

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMILinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 395.5495.6495.631. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: KASUMILinux 5.5Linux 5.8Linux 5.920406080100Min: 95.47 / Avg: 95.54 / Max: 95.64Min: 95.61 / Avg: 95.64 / Max: 95.68Min: 95.62 / Avg: 95.63 / Max: 95.641. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

TSCP

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

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.5Linux 5.8Linux 5.9300K600K900K1200K1500KSE +/- 1404.46, N = 5SE +/- 1502.00, N = 5SE +/- 1494.00, N = 51437317143581914365681. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.5Linux 5.8Linux 5.9200K400K600K800K1000KMin: 1434317 / Avg: 1437317 / Max: 1441827Min: 1434317 / Avg: 1435819 / Max: 1441827Min: 1430592 / Avg: 1436568 / Max: 14380621. (CC) gcc options: -O3 -march=native

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_pyaesLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 398.898.998.9
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesLinux 5.5Linux 5.8Linux 5.920406080100Min: 98.7 / Avg: 98.77 / Max: 98.8Min: 98.9 / Avg: 98.9 / Max: 98.9Min: 98.8 / Avg: 98.87 / Max: 98.9

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishLinux 5.5Linux 5.8Linux 5.980160240320400SE +/- 0.32, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 3362.25362.61362.561. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: TwofishLinux 5.5Linux 5.8Linux 5.960120180240300Min: 361.66 / Avg: 362.25 / Max: 362.75Min: 362.57 / Avg: 362.61 / Max: 362.7Min: 362.33 / Avg: 362.56 / Max: 362.71. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

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: MediumLinux 5.5Linux 5.8Linux 5.93691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 310.3910.3910.401. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.5Linux 5.8Linux 5.93691215Min: 10.38 / Avg: 10.39 / Max: 10.4Min: 10.39 / Avg: 10.39 / Max: 10.4Min: 10.39 / Avg: 10.4 / Max: 10.411. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

G'MIC

G'MIC is an open-source framework for image processing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesLinux 5.5Linux 5.8Linux 5.91530456075SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 365.4165.4665.431. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.
OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 TimesLinux 5.5Linux 5.8Linux 5.91326395265Min: 65.36 / Avg: 65.41 / Max: 65.46Min: 65.46 / Avg: 65.46 / Max: 65.47Min: 65.42 / Avg: 65.43 / Max: 65.441. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

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 SceneLinux 5.5Linux 5.8Linux 5.980160240320400SE +/- 0.35, N = 3SE +/- 0.70, N = 3SE +/- 0.55, N = 3364.33364.63364.311. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lboost_system -lboost_filesystem -lboost_locale
OpenBenchmarking.orgSeconds, Fewer Is BetterYafaRay 3.4.1Total Time For Sample SceneLinux 5.5Linux 5.8Linux 5.970140210280350Min: 363.63 / Avg: 364.33 / Max: 364.69Min: 363.29 / Avg: 364.63 / Max: 365.65Min: 363.7 / Avg: 364.31 / Max: 365.411. (CXX) g++ options: -std=c++11 -O3 -ffast-math -rdynamic -ldl -lImath -lIlmImf -lIex -lHalf -lz -lIlmThread -lxml2 -lfreetype -lboost_system -lboost_filesystem -lboost_locale

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.5Linux 5.8Linux 5.93691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 311.6711.6711.68
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.5Linux 5.8Linux 5.93691215Min: 11.65 / Avg: 11.67 / Max: 11.68Min: 11.65 / Avg: 11.67 / Max: 11.67Min: 11.67 / Avg: 11.68 / Max: 11.69

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 CompressionLinux 5.5Linux 5.8Linux 5.9246810SE +/- 0.005, N = 3SE +/- 0.002, N = 3SE +/- 0.005, N = 37.2977.3037.3001. (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 CompressionLinux 5.5Linux 5.8Linux 5.93691215Min: 7.29 / Avg: 7.3 / Max: 7.31Min: 7.3 / Avg: 7.3 / Max: 7.31Min: 7.29 / Avg: 7.3 / Max: 7.311. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Libdeflate 1 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.930060090012001500SE +/- 0.88, N = 3SE +/- 0.88, N = 31248124912481. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Libdeflate 1 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.92004006008001000Min: 1246 / Avg: 1247.67 / Max: 1249Min: 1246 / Avg: 1247.67 / Max: 12491. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: Spooky32Linux 5.5Linux 5.8Linux 5.91326395265SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.00, N = 356.6556.6956.661. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: Spooky32Linux 5.5Linux 5.8Linux 5.91122334455Min: 56.64 / Avg: 56.65 / Max: 56.66Min: 56.65 / Avg: 56.69 / Max: 56.77Min: 56.65 / Avg: 56.66 / Max: 56.671. (CXX) g++ options: -march=native -O3 -lpthread

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: MeowHashLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 377.7077.6677.651. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: MeowHashLinux 5.5Linux 5.8Linux 5.91530456075Min: 77.7 / Avg: 77.7 / Max: 77.71Min: 77.65 / Avg: 77.66 / Max: 77.67Min: 77.63 / Avg: 77.65 / Max: 77.661. (CXX) g++ options: -march=native -O3 -lpthread

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 1 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.930060090012001500SE +/- 0.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 31449144914481. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 1 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.930060090012001500Min: 1448 / Avg: 1448.67 / Max: 1450Min: 1449 / Avg: 1449.33 / Max: 1450Min: 1448 / Avg: 1448.33 / Max: 14491. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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 AtomsLinux 5.5Linux 5.8Linux 5.90.80311.60622.40933.21244.0155SE +/- 0.01062, N = 3SE +/- 0.00372, N = 3SE +/- 0.00430, N = 33.567413.569193.56784
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.5Linux 5.8Linux 5.9246810Min: 3.55 / Avg: 3.57 / Max: 3.58Min: 3.57 / Avg: 3.57 / Max: 3.58Min: 3.56 / Avg: 3.57 / Max: 3.57

Botan

Botan is a cross-platform open-source C++ crypto library that supports most all publicly known cryptographic algorithms. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Linux 5.5Linux 5.8Linux 5.9306090120150SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3138.10138.10138.041. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt
OpenBenchmarking.orgMiB/s, More Is BetterBotan 2.13.0Test: CAST-256Linux 5.5Linux 5.8Linux 5.9306090120150Min: 138.01 / Avg: 138.1 / Max: 138.15Min: 138.01 / Avg: 138.1 / Max: 138.15Min: 137.88 / Avg: 138.04 / Max: 138.151. (CXX) g++ options: -fstack-protector -m64 -pthread -lbotan-2 -ldl -lrt

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: wyhashLinux 5.5Linux 5.8Linux 5.9816243240SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 333.4933.4933.491. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: wyhashLinux 5.5Linux 5.8Linux 5.9714212835Min: 33.49 / Avg: 33.49 / Max: 33.49Min: 33.49 / Avg: 33.49 / Max: 33.49Min: 33.48 / Avg: 33.49 / Max: 33.491. (CXX) g++ options: -march=native -O3 -lpthread

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: fasthash32Linux 5.5Linux 5.8Linux 5.913002600390052006500SE +/- 0.32, N = 3SE +/- 0.55, N = 3SE +/- 0.56, N = 36189.436189.806189.941. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2020-02-29Hash: fasthash32Linux 5.5Linux 5.8Linux 5.911002200330044005500Min: 6188.87 / Avg: 6189.43 / Max: 6189.98Min: 6188.8 / Avg: 6189.8 / Max: 6190.68Min: 6188.83 / Avg: 6189.94 / Max: 6190.561. (CXX) g++ options: -march=native -O3 -lpthread

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: fasthash32Linux 5.5Linux 5.8Linux 5.91020304050SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 343.1343.1343.131. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: fasthash32Linux 5.5Linux 5.8Linux 5.9918273645Min: 43.13 / Avg: 43.13 / Max: 43.14Min: 43.13 / Avg: 43.13 / Max: 43.14Min: 43.13 / Avg: 43.13 / Max: 43.141. (CXX) g++ options: -march=native -O3 -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: raytraceLinux 5.5Linux 5.8Linux 5.9100200300400500SE +/- 0.58, N = 3461461461
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceLinux 5.5Linux 5.8Linux 5.980160240320400Min: 460 / Avg: 461 / Max: 462

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyLinux 5.5Linux 5.8Linux 5.9306090120150112112112

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosLinux 5.5Linux 5.8Linux 5.920406080100104104104

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goLinux 5.5Linux 5.8Linux 5.950100150200250SE +/- 0.33, N = 3235235235
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goLinux 5.5Linux 5.8Linux 5.94080120160200Min: 235 / Avg: 235.33 / Max: 236

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: MemorialLinux 5.5Linux 5.8Linux 5.90.87751.7552.63253.514.3875SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.903.903.90
OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 1.2.0Scene: MemorialLinux 5.5Linux 5.8Linux 5.9246810Min: 3.9 / Avg: 3.9 / Max: 3.9Min: 3.9 / Avg: 3.9 / Max: 3.9Min: 3.9 / Avg: 3.9 / Max: 3.9

SMHasher

SMHasher is a hash function tester. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2Linux 5.5Linux 5.8Linux 5.91020304050SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 343.5243.5243.521. (CXX) g++ options: -march=native -O3 -lpthread
OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2020-02-29Hash: t1ha0_aes_avx2Linux 5.5Linux 5.8Linux 5.9918273645Min: 43.52 / Avg: 43.52 / Max: 43.52Min: 43.52 / Avg: 43.52 / Max: 43.52Min: 43.52 / Avg: 43.52 / Max: 43.521. (CXX) g++ options: -march=native -O3 -lpthread

lzbench

lzbench is an in-memory benchmark of various compressors. The file used for compression is a Linux kernel source tree tarball. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Libdeflate 1 - Process: CompressionLinux 5.5Linux 5.8Linux 5.950100150200250SE +/- 0.58, N = 3SE +/- 0.67, N = 32362362361. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Libdeflate 1 - Process: CompressionLinux 5.5Linux 5.8Linux 5.94080120160200Min: 235 / Avg: 236 / Max: 237Min: 235 / Avg: 236.33 / Max: 2371. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Brotli 2 - Process: CompressionLinux 5.5Linux 5.8Linux 5.940801201602001951951951. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Crush 0 - Process: CompressionLinux 5.5Linux 5.8Linux 5.9204060801009999991. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 8 - Process: CompressionLinux 5.5Linux 5.8Linux 5.920406080100SE +/- 0.33, N = 39292921. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3
OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: Zstd 8 - Process: CompressionLinux 5.5Linux 5.8Linux 5.920406080100Min: 91 / Avg: 91.67 / Max: 921. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: XZ 0 - Process: DecompressionLinux 5.5Linux 5.8Linux 5.93060901201501221221221. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

OpenBenchmarking.orgMB/s, More Is Betterlzbench 1.8Test: XZ 0 - Process: CompressionLinux 5.5Linux 5.8Linux 5.910203040504343431. (CXX) g++ options: -pthread -fomit-frame-pointer -fstrict-aliasing -ffast-math -O3

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 FillLinux 5.5Linux 5.8Linux 5.9918273645SE +/- 1.98, N = 15SE +/- 2.02, N = 15SE +/- 1.60, N = 1536.6240.1038.551. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.5Linux 5.8Linux 5.9816243240Min: 30.64 / Avg: 36.62 / Max: 48.48Min: 35.16 / Avg: 40.1 / Max: 52.91Min: 35.38 / Avg: 38.55 / Max: 53.421. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.5Linux 5.8Linux 5.9612182430SE +/- 1.19, N = 15SE +/- 0.96, N = 15SE +/- 0.77, N = 1525.122.723.41. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Random FillLinux 5.5Linux 5.8Linux 5.9612182430Min: 18.3 / Avg: 25.07 / Max: 28.9Min: 16.7 / Avg: 22.75 / Max: 25.2Min: 16.6 / Avg: 23.39 / Max: 251. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.5Linux 5.8Linux 5.91020304050SE +/- 2.00, N = 15SE +/- 2.08, N = 15SE +/- 1.95, N = 1536.9342.4140.461. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.5Linux 5.8Linux 5.9918273645Min: 30.69 / Avg: 36.93 / Max: 47.58Min: 35.14 / Avg: 42.41 / Max: 52.38Min: 35.24 / Avg: 40.46 / Max: 52.881. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.5Linux 5.8Linux 5.9612182430SE +/- 1.21, N = 15SE +/- 1.00, N = 15SE +/- 0.94, N = 1524.921.522.51. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: OverwriteLinux 5.5Linux 5.8Linux 5.9612182430Min: 18.6 / Avg: 24.88 / Max: 28.8Min: 16.9 / Avg: 21.55 / Max: 25.2Min: 16.7 / Avg: 22.48 / Max: 25.11. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.5Linux 5.8Linux 5.910002000300040005000SE +/- 277.07, N = 3SE +/- 272.83, N = 3SE +/- 202.61, N = 154734.254386.743999.051. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMicroseconds Per Op, Fewer Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.5Linux 5.8Linux 5.98001600240032004000Min: 4402.23 / Avg: 4734.25 / Max: 5284.47Min: 4089.56 / Avg: 4386.74 / Max: 4931.66Min: 3229.64 / Avg: 3999.05 / Max: 5011.71. (CXX) g++ options: -O3 -lsnappy -lpthread

OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.5Linux 5.8Linux 5.90.0450.090.1350.180.225SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 150.20.20.21. (CXX) g++ options: -O3 -lsnappy -lpthread
OpenBenchmarking.orgMB/s, More Is BetterLevelDB 1.22Benchmark: Fill SyncLinux 5.5Linux 5.8Linux 5.912345Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.2 / Avg: 0.25 / Max: 0.31. (CXX) g++ options: -O3 -lsnappy -lpthread

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 2020-06-28Linux 5.5Linux 5.8Linux 5.9612182430SE +/- 0.60, N = 15SE +/- 0.46, N = 15SE +/- 0.52, N = 1523.5023.2523.181. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.5Linux 5.8Linux 5.9510152025Min: 21.94 / Avg: 23.5 / Max: 31.21Min: 21.99 / Avg: 23.25 / Max: 29.02Min: 21.88 / Avg: 23.18 / Max: 29.911. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 SynthesisLinux 5.5Linux 5.8Linux 5.91428425670SE +/- 1.92, N = 16SE +/- 1.08, N = 16SE +/- 1.02, N = 1955.7258.3360.831. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.5Linux 5.8Linux 5.91224364860Min: 30.16 / Avg: 55.72 / Max: 68.77Min: 52.16 / Avg: 58.33 / Max: 67.21Min: 54.13 / Avg: 60.83 / Max: 69.271. (CC) gcc options: -O2 -std=c99

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: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 5.5Linux 5.8Linux 5.92004006008001000SE +/- 23.60, N = 15SE +/- 17.02, N = 15SE +/- 10.99, N = 3812.08976.12997.30MIN: 693.1MIN: 821.71MIN: 973.611. (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: CPULinux 5.5Linux 5.8Linux 5.92004006008001000Min: 703.58 / Avg: 812.08 / Max: 927.42Min: 823.21 / Avg: 976.12 / Max: 1092.72Min: 975.9 / Avg: 997.3 / Max: 1012.341. (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: CPULinux 5.5Linux 5.8Linux 5.9510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.82, N = 1515.1615.1322.15MIN: 14.89MIN: 14.85MIN: 17.661. (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: CPULinux 5.5Linux 5.8Linux 5.9510152025Min: 15.14 / Avg: 15.16 / Max: 15.18Min: 15.11 / Avg: 15.13 / Max: 15.15Min: 17.98 / Avg: 22.15 / Max: 25.681. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 ProteinLinux 5.5Linux 5.8Linux 5.90.7291.4582.1872.9163.645SE +/- 0.017, N = 3SE +/- 0.041, N = 15SE +/- 0.049, N = 153.2402.3112.4301. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.5Linux 5.8Linux 5.9246810Min: 3.21 / Avg: 3.24 / Max: 3.27Min: 2.03 / Avg: 2.31 / Max: 2.68Min: 2.18 / Avg: 2.43 / Max: 2.781. (CXX) g++ options: -O3 -pthread -lm

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 RoutineLinux 5.5Linux 5.8Linux 5.94K8K12K16K20KSE +/- 79.95, N = 3SE +/- 10.53, N = 3SE +/- 410.72, N = 1218506.1418803.4418462.221. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.5Linux 5.8Linux 5.93K6K9K12K15KMin: 18401.81 / Avg: 18506.14 / Max: 18663.23Min: 18785.06 / Avg: 18803.44 / Max: 18821.53Min: 13959.15 / Avg: 18462.22 / Max: 18968.11. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

197 Results Shown

Incompact3D
oneDNN:
  Deconvolution Batch deconv_1d - f32 - CPU
  IP Batch 1D - f32 - CPU
Monte Carlo Simulations of Ionised Nebulae
LevelDB
oneDNN
LevelDB:
  Seq Fill:
    MB/s
    Microseconds Per Op
Basis Universal
GPAW
GLmark2
SVT-AV1
GLmark2:
  1920 x 1080
  2560 x 1440
  1920 x 1200
PyPerformance
NCNN
ArrayFire
oneDNN
Timed GDB GNU Debugger Compilation
oneDNN
SMHasher
dav1d
Timed HMMer Search
NCNN
LULESH
NCNN:
  CPU - yolov4-tiny
  CPU - efficientnet-b0
InfluxDB
7-Zip Compression
NCNN
Timed Apache Compilation
NCNN:
  CPU - squeezenet
  CPU - googlenet
  CPU - resnet18
InfluxDB
NCNN
dav1d
SVT-VP9
PyPerformance
Java Gradle Build
NCNN
SVT-VP9
InfluxDB
Nebular Empirical Analysis Tool
Build2
LevelDB
Tesseract OCR
LevelDB
Mlpack Benchmark
SVT-AV1
ArrayFire
Timed MAFFT Alignment
NCNN
Zstd Compression
C-Blosc
PostMark
x264
oneDNN
Dolfyn
LuxCoreRender
SVT-VP9
Embree
Basis Universal
NCNN
LuxCoreRender
SMHasher
Montage Astronomical Image Mosaic Engine
libavif avifenc
Embree
libavif avifenc
lzbench
Hugin
Git
GNU Octave Benchmark
SVT-AV1
G'MIC
AOM AV1
dav1d
LevelDB
KeyDB
SMHasher
TNN
PyPerformance
Zstd Compression
Crafty
AOM AV1
PyPerformance
Caffe
Basis Universal
OCRMyPDF
OpenVKL
libavif avifenc
Timed Linux Kernel Compilation
Timed LLVM Compilation
Timed PHP Compilation
dav1d
Tensorflow
WebP Image Encode
lzbench
libavif avifenc
Timed FFmpeg Compilation
WebP Image Encode
ASTC Encoder
NCNN
lzbench
BYTE Unix Benchmark
Embree
Mlpack Benchmark
PyPerformance
Basis Universal
Algebraic Multi-Grid Benchmark
RawTherapee
Timed MPlayer Compilation
Embree
NCNN
Caffe
PyPerformance
Embree:
  Pathtracer - Crown
  Pathtracer - Asian Dragon Obj
Botan
lzbench
Caffe
BRL-CAD
WebP Image Encode
LibRaw
PyPerformance
Basis Universal
Hierarchical INTegration
AOM AV1
G'MIC
TensorFlow Lite
GROMACS
TensorFlow Lite
Caffe
PyPerformance
SMHasher
lzbench
TensorFlow Lite:
  SqueezeNet
  Inception ResNet V2
TNN
SMHasher
John The Ripper
Tachyon
TensorFlow Lite
WebP Image Encode
ASTC Encoder
TensorFlow Lite
System GZIP Decompression
Botan
lzbench
ASTC Encoder
Mlpack Benchmark
SMHasher
John The Ripper
Botan
TSCP
PyPerformance
Botan
ASTC Encoder
G'MIC
YafaRay
Mlpack Benchmark
WebP Image Encode
lzbench
SMHasher:
  Spooky32
  MeowHash
lzbench
NAMD
Botan
SMHasher:
  wyhash
  fasthash32
  fasthash32
PyPerformance:
  raytrace
  nbody
  chaos
  go
Intel Open Image Denoise
SMHasher
lzbench:
  Libdeflate 1 - Compression
  Brotli 2 - Compression
  Crush 0 - Compression
  Zstd 8 - Compression
  XZ 0 - Decompression
  XZ 0 - Compression
LevelDB:
  Rand Fill:
    Microseconds Per Op
    MB/s
  Overwrite:
    Microseconds Per Op
    MB/s
  Fill Sync:
    Microseconds Per Op
    MB/s
RNNoise
eSpeak-NG Speech Engine
oneDNN:
  Recurrent Neural Network Training - f32 - CPU
  Deconvolution Batch deconv_3d - f32 - CPU
LAMMPS Molecular Dynamics Simulator
FFTE

Linux 5.5

Processor: Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads), Motherboard: Gigabyte Z97-HD3P (F4 BIOS), Chipset: Intel 4th Gen Core DRAM, Memory: 16GB, Disk: 120GB OCZ TRION100, Graphics: Gigabyte Intel Haswell Desktop 2GB (1250MHz), Audio: Intel Xeon E3-1200 v3/4th, Monitor: LG Ultra HD, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 19.10, Kernel: 5.5.0-rc2-patched (x86_64) 20200115, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.1, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x27
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)
Python Notes: Python 2.7.17 + Python 3.7.5
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

Testing initiated at 7 October 2020 08:27 by user phoronix.

Linux 5.8

Processor: Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads), Motherboard: Gigabyte Z97-HD3P (F4 BIOS), Chipset: Intel 4th Gen Core DRAM, Memory: 16GB, Disk: 120GB OCZ TRION100, Graphics: Gigabyte Intel Haswell Desktop 2GB (1250MHz), Audio: Intel Xeon E3-1200 v3/4th, Monitor: LG Ultra HD, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 19.10, Kernel: 5.8.14-050814-generic (x86_64), Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8, Vulkan: 1.1.102, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x28
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)
Python Notes: Python 2.7.17 + Python 3.7.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 8 October 2020 06:22 by user phoronix.

Linux 5.9

Processor: Intel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads), Motherboard: Gigabyte Z97-HD3P (F4 BIOS), Chipset: Intel 4th Gen Core DRAM, Memory: 16GB, Disk: 120GB OCZ TRION100, Graphics: Gigabyte Intel Haswell Desktop 2GB (1250MHz), Audio: Intel Xeon E3-1200 v3/4th, Monitor: LG Ultra HD, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc8daily20201009-generic (x86_64) 20201008, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8, Vulkan: 1.1.102, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-offload-targets=nvptx-none,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
Disk Notes: MQ-DEADLINE / errors=remount-ro,relatime,rw
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x28
Java Notes: OpenJDK Runtime Environment (build 11.0.7+10-post-Ubuntu-2ubuntu219.10)
Python Notes: Python 2.7.17 + Python 3.7.5
Security Notes: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Testing initiated at 9 October 2020 05:23 by user phoronix.