Xeon E5 Haswell

Intel Xeon E5-2687W v3 testing with a MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS) and NVIDIA NVE4 2GB on Ubuntu 20.04 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 2009294-FI-XEONE5HAS77
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Linux 5.4
September 27 2020
  11 Hours, 50 Minutes
Linux 5.8
September 28 2020
  10 Hours, 26 Minutes
Linux 5.9-rc7
September 28 2020
  10 Hours, 7 Minutes
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Linux 5.4

Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA NVE4 2GB, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I218-V

OS: Ubuntu 20.04, Kernel: 5.4.0-37-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x43
Python Notes: Python 3.8.2
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 + srbds: Not affected + tsx_async_abort: Not affected

Linux 5.8

OS: Ubuntu 20.04, Kernel: 5.8.0-050800-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x43
Python Notes: Python 3.8.2
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 + srbds: Not affected + tsx_async_abort: Not affected

Linux 5.9-rc7

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x43
Python Notes: Python 3.8.2
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: Not affected + tsx_async_abort: Not affected

Xeon E5 HaswellProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionLinux 5.4Linux 5.8Linux 5.9-rc7Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads)MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS)Intel Xeon E7 v3/Xeon32GB80GB INTEL SSDSCKGW08NVIDIA NVE4 2GBRealtek ALC892LG Ultra HDIntel I218-VUbuntu 20.045.4.0-37-generic (x86_64)GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.84.3 Mesa 20.0.4GCC 9.3.0ext43840x21605.8.0-050800-generic (x86_64)5.9.0-050900rc7daily20200928-generic (x86_64) 20200927GNOME Shell 3.36.4OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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 Processor Details- Linux 5.4: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x43- Linux 5.8: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x43- Linux 5.9-rc7: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x43Python Details- Python 3.8.2Security Details- Linux 5.4: 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 + srbds: Not affected + tsx_async_abort: Not affected - Linux 5.8: 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 + srbds: Not affected + tsx_async_abort: Not affected - Linux 5.9-rc7: 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: Not affected + tsx_async_abort: Not affected

Linux 5.4Linux 5.8Linux 5.9-rc7Result OverviewPhoronix Test Suite100%110%120%131%141%Incompact3DLAMMPS Molecular Dynamics SimulatorGPAWLibRawApache CouchDBSystem GZIP DecompressionMonte Carlo Simulations of Ionised NebulaeLeelaChessZeroTimed HMMer SearchMobile Neural NetworkTimed Apache CompilationTimed LLVM CompilationAOM AV1libavif avifencHuginRodiniaNCNNInfluxDBTimed MAFFT AlignmentFFTEAI Benchmark AlphaTimed Linux Kernel CompilationeSpeak-NG Speech EngineKripkeMlpack BenchmarkDolfynTensorFlow LiteNAMDBYTE Unix BenchmarkHierarchical INTegrationOCRMyPDFASTC EncoderTNNWebP Image EncodeGROMACSTesseract OCRZstd CompressionMontage Astronomical Image Mosaic EngineCaffe

Xeon E5 Haswelllczero: BLASlczero: Eigenlczero: Randrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0lammps: Rhodopsin Proteinwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionbyte: Dhrystone 2compress-zstd: 3compress-zstd: 19libraw: Post-Processing Benchmarkaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimeavifenc: 0avifenc: 2avifenc: 8avifenc: 10build-apache: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Time To Compileespeak: Text-To-Speech Synthesismontage: Mosaic of M17, K band, 1.5 deg x 1.5 degsystem-decompress-gzip: couchdb: 100 - 1000 - 24gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivehugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200gpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1hint: FLOATai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoremlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressiontesseract-ocr: Time To OCR 7 Imageskripke: influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000Linux 5.4Linux 5.8Linux 5.9-rc7954915156786325.833128.508148.08528.82818.8071.9848926.30233742.468845028164.512413.01720312.2372655.5842.0033.06722.6889.23647.04234481356.03347.039.629.280.211.6913.262.6724.69122.54572.8327.8507.51232.469109.706819.05244.490105.1353.616159.4470.817256412361972323055217645717343832669537.365.8335.69285.5165.84434.09167240133654173264346900319.8519.76648.7575.8705.66857.32419.1220.046.405.745.075.708.202.2317.0854.0115.6513.4728.7032.90341.535328.708320073629.5420410711056212774.7164.6825.283.2632.12026938147532399.41117801.61135918.3940881143239326.867128.948150.03628.88519.3371.9967826.09433668.673993519170.521580.00132212.3102864.4462.0013.06322.5029.28746.66334508567.73336.339.724.630.21.6613.242.6624.50124.71874.2177.9527.56231.753110.413832.97244.825105.2043.962141.2600.818256719362388723946817660217360032690707.445.8435.76285.7466.81634.22967608135035174510349448378.8689.28848.9875.7075.39655.31018.9520.186.375.825.015.818.262.2917.3753.4315.6713.4429.1633.97339.807328.109321462046.1401710821055213776.2664.5725.393.2932.19126979800551427.61084078.21092821.3931896158332325.993129.010148.84629.01119.8301.9834526.10634001.561009784170.605555.38407412.3642854.4152.0003.05922.7139.27846.88934639451.03344.939.525.030.21.6813.372.6524.90124.56574.3307.9097.65332.031110.568825.30144.861105.3023.961142.7760.819256591362424023370217647517391032683077.395.8435.79285.8666.09434.13767316134473173174346479391.2869.30048.5485.6885.38455.75519.0120.376.645.945.085.868.222.2317.5153.5615.6013.4629.0633.79340.343327.800321278645.3607510901057214776.6563.5325.433.3232.16127159907554812.31088435.51097505.0OpenBenchmarking.org

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.9-rc72004006008001000SE +/- 4.70, N = 3SE +/- 8.01, N = 3SE +/- 11.02, N = 39549409311. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.9-rc72004006008001000Min: 948 / Avg: 953.67 / Max: 963Min: 925 / Avg: 940.33 / Max: 952Min: 917 / Avg: 931.33 / Max: 9531. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8Linux 5.9-rc72004006008001000SE +/- 8.01, N = 3SE +/- 3.28, N = 39158818961. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8Linux 5.9-rc7160320480640800Min: 900 / Avg: 915.33 / Max: 927Min: 876 / Avg: 880.67 / Max: 8871. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.4Linux 5.8Linux 5.9-rc730K60K90K120K150KSE +/- 104.53, N = 3SE +/- 4685.92, N = 9SE +/- 208.47, N = 31567861432391583321. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.4Linux 5.8Linux 5.9-rc730K60K90K120K150KMin: 156577 / Avg: 156785.67 / Max: 156901Min: 126959 / Avg: 143239.22 / Max: 157660Min: 157916 / Avg: 158332.33 / Max: 1585601. (CXX) g++ options: -flto -pthread

Rodinia

Rodinia is a suite focused upon accelerating compute-intensive applications with accelerators. CUDA, OpenMP, and OpenCL parallel models are supported by the included applications. This profile utilizes select OpenCL, NVIDIA CUDA and OpenMP test binaries at the moment. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.4Linux 5.8Linux 5.9-rc770140210280350SE +/- 0.03, N = 3SE +/- 1.03, N = 3SE +/- 0.12, N = 3325.83326.87325.991. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.4Linux 5.8Linux 5.9-rc760120180240300Min: 325.8 / Avg: 325.83 / Max: 325.89Min: 325.78 / Avg: 326.87 / Max: 328.94Min: 325.77 / Avg: 325.99 / Max: 326.191. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.4Linux 5.8Linux 5.9-rc7306090120150SE +/- 0.23, N = 3SE +/- 0.08, N = 3SE +/- 0.91, N = 3128.51128.95129.011. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.4Linux 5.8Linux 5.9-rc720406080100Min: 128.24 / Avg: 128.51 / Max: 128.97Min: 128.79 / Avg: 128.95 / Max: 129.04Min: 127.99 / Avg: 129.01 / Max: 130.831. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.4Linux 5.8Linux 5.9-rc7306090120150SE +/- 1.15, N = 3SE +/- 0.44, N = 3SE +/- 0.92, N = 3148.09150.04148.851. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.4Linux 5.8Linux 5.9-rc7306090120150Min: 145.79 / Avg: 148.09 / Max: 149.27Min: 149.45 / Avg: 150.04 / Max: 150.89Min: 147.01 / Avg: 148.85 / Max: 149.941. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.4Linux 5.8Linux 5.9-rc7714212835SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 328.8328.8929.011. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.4Linux 5.8Linux 5.9-rc7612182430Min: 28.68 / Avg: 28.83 / Max: 28.96Min: 28.85 / Avg: 28.89 / Max: 28.94Min: 28.95 / Avg: 29.01 / Max: 29.051. (CXX) g++ options: -O2 -lOpenCL

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.4Linux 5.8Linux 5.9-rc7510152025SE +/- 0.64, N = 12SE +/- 0.32, N = 15SE +/- 0.73, N = 1218.8119.3419.831. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.4Linux 5.8Linux 5.9-rc7510152025Min: 16.21 / Avg: 18.81 / Max: 25.08Min: 17.55 / Avg: 19.34 / Max: 21.99Min: 17.44 / Avg: 19.83 / Max: 25.11. (CXX) g++ options: -O2 -lOpenCL

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 5.4Linux 5.8Linux 5.9-rc70.44930.89861.34791.79722.2465SE +/- 0.00689, N = 3SE +/- 0.00453, N = 3SE +/- 0.00215, N = 31.984891.996781.98345
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 1.97 / Avg: 1.98 / Max: 2Min: 1.99 / Avg: 2 / Max: 2.01Min: 1.98 / Avg: 1.98 / Max: 1.99

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 5.4Linux 5.8Linux 5.9-rc7612182430SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 326.3026.0926.11
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.8Linux 5.9-rc7612182430Min: 26.17 / Avg: 26.3 / Max: 26.54Min: 25.97 / Avg: 26.09 / Max: 26.23Min: 25.97 / Avg: 26.11 / Max: 26.19

FFTE

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8Linux 5.9-rc77K14K21K28K35KSE +/- 264.74, N = 3SE +/- 141.28, N = 3SE +/- 39.88, N = 333742.4733668.6734001.561. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8Linux 5.9-rc76K12K18K24K30KMin: 33213.3 / Avg: 33742.47 / Max: 34022.66Min: 33386.39 / Avg: 33668.67 / Max: 33820.57Min: 33936.11 / Avg: 34001.56 / Max: 34073.751. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 5.4Linux 5.8Linux 5.9-rc74080120160200SE +/- 0.05, N = 3SE +/- 0.38, N = 3SE +/- 0.24, N = 3164.51170.52170.611. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.8Linux 5.9-rc7306090120150Min: 164.42 / Avg: 164.51 / Max: 164.6Min: 169.79 / Avg: 170.52 / Max: 171.06Min: 170.16 / Avg: 170.61 / Max: 170.971. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 5.4Linux 5.8Linux 5.9-rc7130260390520650SE +/- 4.31, N = 7SE +/- 7.85, N = 3SE +/- 6.51, N = 6413.02580.00555.381. (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 5.4Linux 5.8Linux 5.9-rc7100200300400500Min: 405.19 / Avg: 413.02 / Max: 438.64Min: 570.72 / Avg: 580 / Max: 595.62Min: 542.27 / Avg: 555.38 / Max: 582.831. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 312.2412.3112.361. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4Linux 5.8Linux 5.9-rc748121620Min: 12.15 / Avg: 12.24 / Max: 12.38Min: 12.19 / Avg: 12.31 / Max: 12.39Min: 12.29 / Avg: 12.36 / Max: 12.451. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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 5.4Linux 5.8Linux 5.9-rc760120180240300SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 2.60, N = 32652862851. (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 5.4Linux 5.8Linux 5.9-rc750100150200250Min: 265 / Avg: 265.33 / Max: 266Min: 285 / Avg: 285.67 / Max: 287Min: 281 / Avg: 285.33 / Max: 2901. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 5.4Linux 5.8Linux 5.9-rc71.25642.51283.76925.02566.282SE +/- 0.008, N = 3SE +/- 0.129, N = 15SE +/- 0.157, N = 125.5844.4464.4151. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 5.57 / Avg: 5.58 / Max: 5.6Min: 3.85 / Avg: 4.45 / Max: 5.54Min: 3.8 / Avg: 4.42 / Max: 5.41. (CXX) g++ options: -O3 -pthread -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: DefaultLinux 5.4Linux 5.8Linux 5.9-rc70.45070.90141.35211.80282.2535SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.003, N = 32.0032.0012.0001. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 2 / Avg: 2 / Max: 2.01Min: 1.99 / Avg: 2 / Max: 2.01Min: 1.99 / Avg: 2 / Max: 21. (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 5.4Linux 5.8Linux 5.9-rc70.69011.38022.07032.76043.4505SE +/- 0.013, N = 3SE +/- 0.009, N = 3SE +/- 0.004, N = 33.0673.0633.0591. (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 5.4Linux 5.8Linux 5.9-rc7246810Min: 3.04 / Avg: 3.07 / Max: 3.08Min: 3.05 / Avg: 3.06 / Max: 3.08Min: 3.05 / Avg: 3.06 / Max: 3.071. (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 5.4Linux 5.8Linux 5.9-rc7510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 322.6922.5022.711. (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 5.4Linux 5.8Linux 5.9-rc7510152025Min: 22.66 / Avg: 22.69 / Max: 22.72Min: 22.49 / Avg: 22.5 / Max: 22.52Min: 22.53 / Avg: 22.71 / Max: 22.881. (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 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.000, N = 3SE +/- 0.024, N = 3SE +/- 0.031, N = 39.2369.2879.2781. (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 5.4Linux 5.8Linux 5.9-rc73691215Min: 9.24 / Avg: 9.24 / Max: 9.24Min: 9.24 / Avg: 9.29 / Max: 9.31Min: 9.23 / Avg: 9.28 / Max: 9.341. (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 5.4Linux 5.8Linux 5.9-rc71122334455SE +/- 0.24, N = 3SE +/- 0.01, N = 3SE +/- 0.11, N = 347.0446.6646.891. (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, Lossless, Highest CompressionLinux 5.4Linux 5.8Linux 5.9-rc71020304050Min: 46.61 / Avg: 47.04 / Max: 47.44Min: 46.65 / Avg: 46.66 / Max: 46.67Min: 46.75 / Avg: 46.89 / Max: 47.11. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 5.4Linux 5.8Linux 5.9-rc77M14M21M28M35MSE +/- 36054.53, N = 3SE +/- 52773.26, N = 3SE +/- 26130.79, N = 334481356.034508567.734639451.0
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4Linux 5.8Linux 5.9-rc76M12M18M24M30MMin: 34426665 / Avg: 34481356 / Max: 34549401.1Min: 34413712.2 / Avg: 34508567.73 / Max: 34596081.3Min: 34590275.9 / Avg: 34639451 / Max: 34679362.1

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 5.4Linux 5.8Linux 5.9-rc77001400210028003500SE +/- 9.66, N = 3SE +/- 6.80, N = 3SE +/- 10.14, N = 33347.03336.33344.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.4Linux 5.8Linux 5.9-rc76001200180024003000Min: 3328.5 / Avg: 3347.03 / Max: 3361Min: 3326.8 / Avg: 3336.33 / Max: 3349.5Min: 3327.8 / Avg: 3344.9 / Max: 3362.91. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.4Linux 5.8Linux 5.9-rc7918273645SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 339.639.739.51. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.4Linux 5.8Linux 5.9-rc7816243240Min: 39.5 / Avg: 39.57 / Max: 39.6Min: 39.6 / Avg: 39.67 / Max: 39.8Min: 39.4 / Avg: 39.53 / Max: 39.71. (CC) gcc options: -O3 -pthread -lz -llzma

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 5.4Linux 5.8Linux 5.9-rc7714212835SE +/- 0.03, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 329.2824.6325.031. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8Linux 5.9-rc7612182430Min: 29.23 / Avg: 29.28 / Max: 29.33Min: 24.3 / Avg: 24.63 / Max: 24.99Min: 24.73 / Avg: 25.03 / Max: 25.391. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -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 0 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc70.04730.09460.14190.18920.2365SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.210.200.201. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc712345Min: 0.21 / Avg: 0.21 / Max: 0.21Min: 0.2 / Avg: 0.2 / Max: 0.2Min: 0.2 / Avg: 0.2 / Max: 0.21. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc70.38030.76061.14091.52121.9015SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.691.661.681. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 1.69 / Avg: 1.69 / Max: 1.69Min: 1.66 / Avg: 1.66 / Max: 1.67Min: 1.66 / Avg: 1.68 / Max: 1.71. (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 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 313.2613.2413.371. (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 5.4Linux 5.8Linux 5.9-rc748121620Min: 13.11 / Avg: 13.26 / Max: 13.39Min: 13.14 / Avg: 13.24 / Max: 13.31Min: 13.32 / Avg: 13.37 / Max: 13.451. (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 5.4Linux 5.8Linux 5.9-rc70.60081.20161.80242.40323.004SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.672.662.651. (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 5.4Linux 5.8Linux 5.9-rc7246810Min: 2.66 / Avg: 2.67 / Max: 2.69Min: 2.66 / Avg: 2.66 / Max: 2.66Min: 2.64 / Avg: 2.65 / Max: 2.661. (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 5.4Linux 5.8Linux 5.9-rc7612182430SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.12, N = 324.6924.5024.901. (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 5.4Linux 5.8Linux 5.9-rc7612182430Min: 24.65 / Avg: 24.69 / Max: 24.75Min: 24.33 / Avg: 24.5 / Max: 24.66Min: 24.68 / Avg: 24.9 / Max: 25.081. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 5.4Linux 5.8Linux 5.9-rc7306090120150SE +/- 0.43, N = 3SE +/- 0.79, N = 3SE +/- 0.26, N = 3122.55124.72124.571. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.8Linux 5.9-rc720406080100Min: 121.69 / Avg: 122.55 / Max: 123.01Min: 123.85 / Avg: 124.72 / Max: 126.3Min: 124.18 / Avg: 124.57 / Max: 125.061. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.4Linux 5.8Linux 5.9-rc720406080100SE +/- 0.41, N = 3SE +/- 0.16, N = 3SE +/- 0.21, N = 372.8374.2274.331. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.4Linux 5.8Linux 5.9-rc71428425670Min: 72.38 / Avg: 72.83 / Max: 73.65Min: 74.02 / Avg: 74.22 / Max: 74.54Min: 73.98 / Avg: 74.33 / Max: 74.691. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.034, N = 3SE +/- 0.025, N = 3SE +/- 0.036, N = 37.8507.9527.9091. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 7.79 / Avg: 7.85 / Max: 7.9Min: 7.92 / Avg: 7.95 / Max: 8Min: 7.87 / Avg: 7.91 / Max: 7.981. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.077, N = 37.5127.5627.6531. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 7.49 / Avg: 7.51 / Max: 7.54Min: 7.55 / Avg: 7.56 / Max: 7.57Min: 7.52 / Avg: 7.65 / Max: 7.791. (CXX) g++ options: -O3 -fPIC

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 5.4Linux 5.8Linux 5.9-rc7816243240SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 332.4731.7532.03
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileLinux 5.4Linux 5.8Linux 5.9-rc7714212835Min: 32.3 / Avg: 32.47 / Max: 32.56Min: 31.66 / Avg: 31.75 / Max: 31.81Min: 31.91 / Avg: 32.03 / Max: 32.19

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 5.4Linux 5.8Linux 5.9-rc720406080100SE +/- 1.01, N = 3SE +/- 0.75, N = 3SE +/- 0.97, N = 3109.71110.41110.57
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileLinux 5.4Linux 5.8Linux 5.9-rc720406080100Min: 108.51 / Avg: 109.71 / Max: 111.72Min: 109 / Avg: 110.41 / Max: 111.54Min: 109.44 / Avg: 110.57 / Max: 112.5

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 5.4Linux 5.8Linux 5.9-rc72004006008001000SE +/- 5.85, N = 3SE +/- 5.60, N = 3SE +/- 4.16, N = 3819.05832.97825.30
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.4Linux 5.8Linux 5.9-rc7150300450600750Min: 807.96 / Avg: 819.05 / Max: 827.81Min: 822.41 / Avg: 832.97 / Max: 841.48Min: 819.36 / Avg: 825.3 / Max: 833.32

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 5.4Linux 5.8Linux 5.9-rc71020304050SE +/- 0.41, N = 17SE +/- 0.30, N = 17SE +/- 0.28, N = 444.4944.8344.861. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.4Linux 5.8Linux 5.9-rc7918273645Min: 38.47 / Avg: 44.49 / Max: 46.58Min: 44.04 / Avg: 44.83 / Max: 49.5Min: 44.16 / Avg: 44.86 / Max: 45.481. (CC) gcc options: -O2 -std=c99

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 5.4Linux 5.8Linux 5.9-rc720406080100SE +/- 0.46, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3105.14105.20105.301. (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 5.4Linux 5.8Linux 5.9-rc720406080100Min: 104.26 / Avg: 105.14 / Max: 105.78Min: 104.88 / Avg: 105.2 / Max: 105.44Min: 105.1 / Avg: 105.3 / Max: 105.561. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

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 5.4Linux 5.8Linux 5.9-rc70.89151.7832.67453.5664.4575SE +/- 0.002, N = 3SE +/- 0.346, N = 15SE +/- 0.346, N = 153.6163.9623.961
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 3.61 / Avg: 3.62 / Max: 3.62Min: 3.61 / Avg: 3.96 / Max: 8.81Min: 3.61 / Avg: 3.96 / Max: 8.81

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.4Linux 5.8Linux 5.9-rc74080120160200SE +/- 0.59, N = 3SE +/- 1.51, N = 3SE +/- 1.29, N = 3159.45141.26142.781. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.4Linux 5.8Linux 5.9-rc7306090120150Min: 158.72 / Avg: 159.45 / Max: 160.61Min: 138.23 / Avg: 141.26 / Max: 142.84Min: 140.64 / Avg: 142.78 / Max: 145.11. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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 5.4Linux 5.8Linux 5.9-rc70.18430.36860.55290.73720.9215SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 30.8170.8180.8191. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 0.82 / Avg: 0.82 / Max: 0.82Min: 0.82 / Avg: 0.82 / Max: 0.82Min: 0.81 / Avg: 0.82 / Max: 0.821. (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: SqueezeNetLinux 5.4Linux 5.8Linux 5.9-rc750K100K150K200K250KSE +/- 74.25, N = 3SE +/- 81.17, N = 3SE +/- 119.88, N = 3256412256719256591
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.4Linux 5.8Linux 5.9-rc740K80K120K160K200KMin: 256297 / Avg: 256412.33 / Max: 256551Min: 256557 / Avg: 256719.33 / Max: 256802Min: 256370 / Avg: 256591 / Max: 256782

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.8Linux 5.9-rc7800K1600K2400K3200K4000KSE +/- 91.35, N = 3SE +/- 425.85, N = 3SE +/- 427.71, N = 3361972336238873624240
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.8Linux 5.9-rc7600K1200K1800K2400K3000KMin: 3619550 / Avg: 3619723.33 / Max: 3619860Min: 3623240 / Avg: 3623886.67 / Max: 3624690Min: 3623520 / Avg: 3624240 / Max: 3625000

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.8Linux 5.9-rc750K100K150K200K250KSE +/- 441.34, N = 3SE +/- 2366.78, N = 3SE +/- 423.28, N = 3230552239468233702
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.8Linux 5.9-rc740K80K120K160K200KMin: 229689 / Avg: 230552 / Max: 231144Min: 235402 / Avg: 239468.33 / Max: 243600Min: 233175 / Avg: 233701.67 / Max: 234539

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.8Linux 5.9-rc740K80K120K160K200KSE +/- 54.35, N = 3SE +/- 33.74, N = 3SE +/- 99.35, N = 3176457176602176475
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.8Linux 5.9-rc730K60K90K120K150KMin: 176401 / Avg: 176457.33 / Max: 176566Min: 176560 / Avg: 176602.33 / Max: 176669Min: 176350 / Avg: 176474.67 / Max: 176671

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.8Linux 5.9-rc740K80K120K160K200KSE +/- 48.95, N = 3SE +/- 154.08, N = 3SE +/- 60.45, N = 3173438173600173910
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.8Linux 5.9-rc730K60K90K120K150KMin: 173341 / Avg: 173438 / Max: 173498Min: 173309 / Avg: 173600.33 / Max: 173833Min: 173831 / Avg: 173910.33 / Max: 174029

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.8Linux 5.9-rc7700K1400K2100K2800K3500KSE +/- 332.38, N = 3SE +/- 277.91, N = 3SE +/- 390.78, N = 3326695332690703268307
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.8Linux 5.9-rc7600K1200K1800K2400K3000KMin: 3266310 / Avg: 3266953.33 / Max: 3267420Min: 3268550 / Avg: 3269070 / Max: 3269500Min: 3267560 / Avg: 3268306.67 / Max: 3268880

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 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 37.367.447.391. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastLinux 5.4Linux 5.8Linux 5.9-rc73691215Min: 7.2 / Avg: 7.36 / Max: 7.46Min: 7.41 / Avg: 7.44 / Max: 7.48Min: 7.33 / Avg: 7.39 / Max: 7.441. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.4Linux 5.8Linux 5.9-rc71.3142.6283.9425.2566.57SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 35.835.845.841. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 5.82 / Avg: 5.83 / Max: 5.84Min: 5.84 / Avg: 5.84 / Max: 5.85Min: 5.84 / Avg: 5.84 / Max: 5.841. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.4Linux 5.8Linux 5.9-rc7816243240SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 335.6935.7635.791. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.4Linux 5.8Linux 5.9-rc7816243240Min: 35.68 / Avg: 35.69 / Max: 35.7Min: 35.74 / Avg: 35.76 / Max: 35.78Min: 35.76 / Avg: 35.79 / Max: 35.811. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.4Linux 5.8Linux 5.9-rc760120180240300SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3285.51285.74285.861. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.4Linux 5.8Linux 5.9-rc750100150200250Min: 285.48 / Avg: 285.51 / Max: 285.53Min: 285.7 / Avg: 285.74 / Max: 285.79Min: 285.82 / Avg: 285.86 / Max: 285.941. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 5.4Linux 5.8Linux 5.9-rc71530456075SE +/- 0.87, N = 3SE +/- 0.75, N = 3SE +/- 0.31, N = 365.8466.8266.09
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeLinux 5.4Linux 5.8Linux 5.9-rc71326395265Min: 64.22 / Avg: 65.84 / Max: 67.2Min: 66 / Avg: 66.82 / Max: 68.31Min: 65.73 / Avg: 66.09 / Max: 66.72

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 9.6.0+dfsgProcessing 60 Page PDF DocumentLinux 5.4Linux 5.8Linux 5.9-rc7816243240SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 334.0934.2334.14
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentLinux 5.4Linux 5.8Linux 5.9-rc7714212835Min: 33.74 / Avg: 34.09 / Max: 34.38Min: 34.15 / Avg: 34.23 / Max: 34.35Min: 33.8 / Avg: 34.14 / Max: 34.49

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 5.4Linux 5.8Linux 5.9-rc714K28K42K56K70KSE +/- 110.39, N = 3SE +/- 128.75, N = 3SE +/- 335.92, N = 36724067608673161. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.9-rc712K24K36K48K60KMin: 67033 / Avg: 67240 / Max: 67410Min: 67385 / Avg: 67608.33 / Max: 67831Min: 66654 / Avg: 67316.33 / Max: 677451. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9-rc730K60K90K120K150KSE +/- 145.14, N = 3SE +/- 1111.42, N = 3SE +/- 311.46, N = 31336541350351344731. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9-rc720K40K60K80K100KMin: 133468 / Avg: 133654 / Max: 133940Min: 132820 / Avg: 135035 / Max: 136304Min: 133909 / Avg: 134473 / Max: 1349841. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.9-rc740K80K120K160K200KSE +/- 71.95, N = 3SE +/- 234.36, N = 3SE +/- 244.17, N = 31732641745101731741. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.9-rc730K60K90K120K150KMin: 173181 / Avg: 173263.67 / Max: 173407Min: 174061 / Avg: 174510 / Max: 174851Min: 172716 / Avg: 173173.67 / Max: 1735501. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9-rc770K140K210K280K350KSE +/- 376.44, N = 3SE +/- 1145.27, N = 3SE +/- 521.49, N = 33469003494483464791. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9-rc760K120K180K240K300KMin: 346432 / Avg: 346900.33 / Max: 347645Min: 347177 / Avg: 349448 / Max: 350842Min: 345438 / Avg: 346478.67 / Max: 3470591. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5.4Linux 5.8Linux 5.9-rc780160240320400SE +/- 0.12, N = 3SE +/- 4.19, N = 3SE +/- 1.15, N = 3319.85378.87391.291. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi
OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.4Linux 5.8Linux 5.9-rc770140210280350Min: 319.6 / Avg: 319.85 / Max: 320.01Min: 373.51 / Avg: 378.87 / Max: 387.13Min: 389.5 / Avg: 391.29 / Max: 393.441. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.387, N = 12SE +/- 0.031, N = 3SE +/- 0.048, N = 39.7669.2889.300MIN: 9.09 / MAX: 122.57MIN: 9.17 / MAX: 21.67MIN: 9.16 / MAX: 16.371. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 9.13 / Avg: 9.77 / Max: 13.42Min: 9.23 / Avg: 9.29 / Max: 9.34Min: 9.22 / Avg: 9.3 / Max: 9.381. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.8Linux 5.9-rc71122334455SE +/- 0.78, N = 12SE +/- 0.15, N = 3SE +/- 0.09, N = 348.7648.9948.55MIN: 45.14 / MAX: 155.14MIN: 48.57 / MAX: 74.78MIN: 47.77 / MAX: 74.651. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.8Linux 5.9-rc71020304050Min: 47.56 / Avg: 48.76 / Max: 56.8Min: 48.71 / Avg: 48.99 / Max: 49.2Min: 48.38 / Avg: 48.55 / Max: 48.661. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.9-rc71.32082.64163.96245.28326.604SE +/- 0.205, N = 12SE +/- 0.027, N = 3SE +/- 0.011, N = 35.8705.7075.688MIN: 5.56 / MAX: 35.36MIN: 5.61 / MAX: 11.75MIN: 5.59 / MAX: 12.031. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.9-rc7246810Min: 5.64 / Avg: 5.87 / Max: 8.12Min: 5.65 / Avg: 5.71 / Max: 5.74Min: 5.67 / Avg: 5.69 / Max: 5.71. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9-rc71.27532.55063.82595.10126.3765SE +/- 0.236, N = 12SE +/- 0.017, N = 3SE +/- 0.008, N = 35.6685.3965.384MIN: 5.29 / MAX: 83.53MIN: 5.3 / MAX: 32.51MIN: 5.33 / MAX: 17.51. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9-rc7246810Min: 5.32 / Avg: 5.67 / Max: 8.03Min: 5.37 / Avg: 5.4 / Max: 5.42Min: 5.37 / Avg: 5.38 / Max: 5.391. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8Linux 5.9-rc71326395265SE +/- 1.68, N = 12SE +/- 0.79, N = 3SE +/- 0.22, N = 357.3255.3155.76MIN: 54.55 / MAX: 154.76MIN: 52.17 / MAX: 85.1MIN: 53.29 / MAX: 149.771. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8Linux 5.9-rc71122334455Min: 54.69 / Avg: 57.32 / Max: 75.06Min: 53.73 / Avg: 55.31 / Max: 56.13Min: 55.39 / Avg: 55.75 / Max: 56.161. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9-rc7510152025SE +/- 0.26, N = 3SE +/- 0.06, N = 3SE +/- 0.16, N = 319.1218.9519.01MIN: 18.77 / MAX: 41.39MIN: 18.79 / MAX: 29.46MIN: 18.72 / MAX: 29.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9-rc7510152025Min: 18.82 / Avg: 19.12 / Max: 19.65Min: 18.89 / Avg: 18.95 / Max: 19.07Min: 18.84 / Avg: 19.01 / Max: 19.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9-rc7510152025SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 320.0420.1820.37MIN: 19.85 / MAX: 22.54MIN: 19.91 / MAX: 31.64MIN: 19.92 / MAX: 84.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9-rc7510152025Min: 19.96 / Avg: 20.04 / Max: 20.1Min: 20.11 / Avg: 20.18 / Max: 20.3Min: 20.14 / Avg: 20.37 / Max: 20.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 36.406.376.64MIN: 6.14 / MAX: 18.16MIN: 6.11 / MAX: 19.39MIN: 6.14 / MAX: 51.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 6.28 / Avg: 6.4 / Max: 6.46Min: 6.33 / Avg: 6.37 / Max: 6.41Min: 6.4 / Avg: 6.64 / Max: 6.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9-rc71.33652.6734.00955.3466.6825SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.13, N = 35.745.825.94MIN: 5.51 / MAX: 14.59MIN: 5.5 / MAX: 29.38MIN: 5.48 / MAX: 18.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9-rc7246810Min: 5.58 / Avg: 5.74 / Max: 5.86Min: 5.76 / Avg: 5.82 / Max: 5.88Min: 5.69 / Avg: 5.94 / Max: 6.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9-rc71.1432.2863.4294.5725.715SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 35.075.015.08MIN: 4.84 / MAX: 12.83MIN: 4.78 / MAX: 19.17MIN: 4.81 / MAX: 18.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9-rc7246810Min: 4.96 / Avg: 5.07 / Max: 5.15Min: 4.92 / Avg: 5.01 / Max: 5.08Min: 4.95 / Avg: 5.08 / Max: 5.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9-rc71.31852.6373.95555.2746.5925SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.13, N = 35.705.815.86MIN: 5.46 / MAX: 17.9MIN: 5.51 / MAX: 28.02MIN: 5.6 / MAX: 33.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 5.54 / Avg: 5.7 / Max: 5.84Min: 5.72 / Avg: 5.81 / Max: 5.96Min: 5.66 / Avg: 5.86 / Max: 6.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.02, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 38.208.268.22MIN: 8.08 / MAX: 9.39MIN: 8.07 / MAX: 8.57MIN: 8.03 / MAX: 9.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9-rc73691215Min: 8.16 / Avg: 8.2 / Max: 8.24Min: 8.14 / Avg: 8.26 / Max: 8.45Min: 8.13 / Avg: 8.22 / Max: 8.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9-rc70.51531.03061.54592.06122.5765SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 32.232.292.23MIN: 2.15 / MAX: 3.48MIN: 2.17 / MAX: 2.8MIN: 2.16 / MAX: 2.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 2.18 / Avg: 2.23 / Max: 2.25Min: 2.21 / Avg: 2.29 / Max: 2.42Min: 2.19 / Avg: 2.23 / Max: 2.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9-rc748121620SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.26, N = 317.0817.3717.51MIN: 16.8 / MAX: 20.13MIN: 16.86 / MAX: 20.42MIN: 16.76 / MAX: 19.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9-rc748121620Min: 17.02 / Avg: 17.08 / Max: 17.15Min: 17.28 / Avg: 17.37 / Max: 17.45Min: 17.25 / Avg: 17.51 / Max: 18.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9-rc71224364860SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.09, N = 354.0153.4353.56MIN: 53.72 / MAX: 70.78MIN: 53.12 / MAX: 57.09MIN: 53.24 / MAX: 64.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9-rc71122334455Min: 53.91 / Avg: 54.01 / Max: 54.16Min: 53.4 / Avg: 53.43 / Max: 53.47Min: 53.41 / Avg: 53.56 / Max: 53.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9-rc748121620SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 315.6515.6715.60MIN: 15.44 / MAX: 36.27MIN: 15.42 / MAX: 35.56MIN: 15.44 / MAX: 17.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9-rc748121620Min: 15.57 / Avg: 15.65 / Max: 15.78Min: 15.56 / Avg: 15.67 / Max: 15.78Min: 15.58 / Avg: 15.6 / Max: 15.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 313.4713.4413.46MIN: 13.42 / MAX: 14.89MIN: 13.36 / MAX: 14.8MIN: 13.35 / MAX: 14.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9-rc748121620Min: 13.47 / Avg: 13.47 / Max: 13.47Min: 13.41 / Avg: 13.44 / Max: 13.46Min: 13.41 / Avg: 13.46 / Max: 13.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9-rc7714212835SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.17, N = 328.7029.1629.06MIN: 28.17 / MAX: 34.9MIN: 28.26 / MAX: 31.28MIN: 28.11 / MAX: 50.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9-rc7612182430Min: 28.52 / Avg: 28.7 / Max: 28.88Min: 28.93 / Avg: 29.16 / Max: 29.35Min: 28.78 / Avg: 29.06 / Max: 29.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9-rc7816243240SE +/- 0.33, N = 3SE +/- 0.46, N = 3SE +/- 0.16, N = 332.9033.9733.79MIN: 31.76 / MAX: 36.12MIN: 31.93 / MAX: 100.2MIN: 32.37 / MAX: 42.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9-rc7714212835Min: 32.26 / Avg: 32.9 / Max: 33.38Min: 33.31 / Avg: 33.97 / Max: 34.86Min: 33.46 / Avg: 33.79 / Max: 33.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8Linux 5.9-rc770140210280350SE +/- 0.74, N = 3SE +/- 0.96, N = 3SE +/- 0.84, N = 3341.54339.81340.34MIN: 338.72 / MAX: 356.56MIN: 337.28 / MAX: 351.84MIN: 337.73 / MAX: 346.011. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8Linux 5.9-rc760120180240300Min: 340.07 / Avg: 341.54 / Max: 342.5Min: 338.73 / Avg: 339.81 / Max: 341.73Min: 339.39 / Avg: 340.34 / Max: 342.021. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8Linux 5.9-rc770140210280350SE +/- 0.13, N = 3SE +/- 1.75, N = 3SE +/- 0.14, N = 3328.71328.11327.80MIN: 328.16 / MAX: 330.27MIN: 324.39 / MAX: 332.88MIN: 327.21 / MAX: 329.051. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8Linux 5.9-rc760120180240300Min: 328.45 / Avg: 328.71 / Max: 328.86Min: 324.61 / Avg: 328.11 / Max: 329.9Min: 327.52 / Avg: 327.8 / Max: 327.941. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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 5.4Linux 5.8Linux 5.9-rc770M140M210M280M350MSE +/- 781692.17, N = 3SE +/- 339389.91, N = 3SE +/- 75656.96, N = 3320073629.54321462046.14321278645.361. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.8Linux 5.9-rc760M120M180M240M300MMin: 318566684.7 / Avg: 320073629.54 / Max: 321187609.8Min: 320786345.58 / Avg: 321462046.14 / Max: 321855825.8Min: 321128784.32 / Avg: 321278645.36 / Max: 321371691.561. (CC) gcc options: -O3 -march=native -lm

AI Benchmark Alpha

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

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreLinux 5.4Linux 5.8Linux 5.9-rc72004006008001000107110821090

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreLinux 5.4Linux 5.8Linux 5.9-rc72004006008001000105610551057

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreLinux 5.4Linux 5.8Linux 5.9-rc75001000150020002500212721372147

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 5.4Linux 5.8Linux 5.9-rc720406080100SE +/- 0.49, N = 3SE +/- 0.46, N = 3SE +/- 0.03, N = 374.7176.2676.65
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.9-rc71530456075Min: 74.02 / Avg: 74.71 / Max: 75.67Min: 75.42 / Avg: 76.26 / Max: 76.98Min: 76.58 / Avg: 76.65 / Max: 76.7

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.9-rc71428425670SE +/- 0.18, N = 3SE +/- 0.17, N = 3SE +/- 0.09, N = 364.6864.5763.53
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.9-rc71326395265Min: 64.37 / Avg: 64.68 / Max: 65Min: 64.35 / Avg: 64.57 / Max: 64.9Min: 63.36 / Avg: 63.53 / Max: 63.63

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8Linux 5.9-rc7612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 325.2825.3925.43
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8Linux 5.9-rc7612182430Min: 25.26 / Avg: 25.28 / Max: 25.32Min: 25.36 / Avg: 25.39 / Max: 25.41Min: 25.41 / Avg: 25.43 / Max: 25.46

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8Linux 5.9-rc70.7471.4942.2412.9883.735SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 33.263.293.32
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8Linux 5.9-rc7246810Min: 3.25 / Avg: 3.26 / Max: 3.27Min: 3.28 / Avg: 3.29 / Max: 3.3Min: 3.3 / Avg: 3.32 / Max: 3.37

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.8Linux 5.9-rc7714212835SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 332.1232.1932.16
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.8Linux 5.9-rc7714212835Min: 31.98 / Avg: 32.12 / Max: 32.29Min: 32.11 / Avg: 32.19 / Max: 32.32Min: 32.03 / Avg: 32.16 / Max: 32.26

Kripke

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

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.4Linux 5.8Linux 5.9-rc76M12M18M24M30MSE +/- 32477.66, N = 3SE +/- 23398.25, N = 3SE +/- 138224.63, N = 32693814726979800271599071. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.4Linux 5.8Linux 5.9-rc75M10M15M20M25MMin: 26905230 / Avg: 26938146.67 / Max: 27003100Min: 26933010 / Avg: 26979800 / Max: 27003870Min: 27019120 / Avg: 27159906.67 / Max: 274363401. (CXX) g++ options: -O3 -fopenmp

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 5.4Linux 5.8Linux 5.9-rc7120K240K360K480K600KSE +/- 244.40, N = 3SE +/- 1886.41, N = 3SE +/- 172.29, N = 3532399.4551427.6554812.3
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc7100K200K300K400K500KMin: 531914.7 / Avg: 532399.37 / Max: 532696.6Min: 548001.3 / Avg: 551427.6 / Max: 554508.6Min: 554477.8 / Avg: 554812.33 / Max: 555051.1

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc7200K400K600K800K1000KSE +/- 3408.65, N = 3SE +/- 981.32, N = 3SE +/- 2254.37, N = 31117801.61084078.21088435.5
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc7200K400K600K800K1000KMin: 1111289.1 / Avg: 1117801.6 / Max: 1122803.5Min: 1082172.5 / Avg: 1084078.2 / Max: 1085437.5Min: 1084193.8 / Avg: 1088435.5 / Max: 1091880.2

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc7200K400K600K800K1000KSE +/- 1694.59, N = 3SE +/- 3385.87, N = 3SE +/- 1017.39, N = 31135918.31092821.31097505.0
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9-rc7200K400K600K800K1000KMin: 1132965.4 / Avg: 1135918.3 / Max: 1138835.3Min: 1086925.8 / Avg: 1092821.33 / Max: 1098654.3Min: 1095528.8 / Avg: 1097505 / Max: 1098912.9

93 Results Shown

LeelaChessZero:
  BLAS
  Eigen
  Rand
Rodinia:
  OpenMP LavaMD
  OpenMP HotSpot3D
  OpenMP Leukocyte
  OpenMP CFD Solver
  OpenMP Streamcluster
NAMD
Dolfyn
FFTE
Timed HMMer Search
Incompact3D
Timed MAFFT Alignment
Monte Carlo Simulations of Ionised Nebulae
LAMMPS Molecular Dynamics Simulator
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
  Quality 100, Lossless, Highest Compression
BYTE Unix Benchmark
Zstd Compression:
  3
  19
LibRaw
AOM AV1:
  Speed 0 Two-Pass
  Speed 4 Two-Pass
  Speed 6 Realtime
  Speed 6 Two-Pass
  Speed 8 Realtime
libavif avifenc:
  0
  2
  8
  10
Timed Apache Compilation
Timed Linux Kernel Compilation
Timed LLVM Compilation
eSpeak-NG Speech Engine
Montage Astronomical Image Mosaic Engine
System GZIP Decompression
Apache CouchDB
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
ASTC Encoder:
  Fast
  Medium
  Thorough
  Exhaustive
Hugin
OCRMyPDF
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
GPAW
Mobile Neural Network:
  SqueezeNetV1.0
  resnet-v2-50
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - squeezenet
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
TNN:
  CPU - MobileNet v2
  CPU - SqueezeNet v1.1
Hierarchical INTegration
AI Benchmark Alpha:
  Device Inference Score
  Device Training Score
  Device AI Score
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression
Tesseract OCR
Kripke
InfluxDB:
  4 - 10000 - 2,5000,1 - 10000
  64 - 10000 - 2,5000,1 - 10000
  1024 - 10000 - 2,5000,1 - 10000

Linux 5.4

Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA NVE4 2GB, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I218-V

OS: Ubuntu 20.04, Kernel: 5.4.0-37-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x43
Python Notes: Python 3.8.2
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 + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 27 September 2020 20:14 by user phoronix.

Linux 5.8

Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA NVE4 2GB, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I218-V

OS: Ubuntu 20.04, Kernel: 5.8.0-050800-generic (x86_64), Desktop: GNOME Shell 3.36.1, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x43
Python Notes: Python 3.8.2
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 + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 28 September 2020 06:05 by user phoronix.

Linux 5.9-rc7

Processor: Intel Xeon E5-2687W v3 @ 3.50GHz (10 Cores / 20 Threads), Motherboard: MSI X99S SLI PLUS (MS-7885) v1.0 (1.E0 BIOS), Chipset: Intel Xeon E7 v3/Xeon, Memory: 32GB, Disk: 80GB INTEL SSDSCKGW08, Graphics: NVIDIA NVE4 2GB, Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Intel I218-V

OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.3 Mesa 20.0.4, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160

Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --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
Processor Notes: Scaling Governor: intel_cpufreq ondemand - CPU Microcode: 0x43
Python Notes: Python 3.8.2
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: Not affected + tsx_async_abort: Not affected

Testing initiated at 28 September 2020 15:27 by user phoronix.