Core i5 2500K October 2020

Intel Core i5-2500K testing with a SAPPHIRE Pure Black P67 Hydra (4.6.4 BIOS) and ASUS AMD Radeon HD 4890 1GB 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 2010120-FI-COREI525006
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C/C++ Compiler Tests 5 Tests
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Machine Learning 7 Tests
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Speech 2 Tests
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Linux 5.4
October 11 2020
  10 Hours, 10 Minutes
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October 11 2020
  9 Hours, 14 Minutes
Repeat 2
October 12 2020
  9 Hours, 37 Minutes
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Linux 5.4

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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2f
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18rc1 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Repeat

Repeat 2

Processor: Intel Core i5-2500K @ 3.70GHz (4 Cores), Motherboard: SAPPHIRE Pure Black P67 Hydra (4.6.4 BIOS), Chipset: Intel 2nd Generation Core DRAM, Memory: 3072MB, Disk: 120GB SanDisk SDSSDA12, Graphics: ASUS AMD Radeon HD 4890 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Marvell 88E8057 PCI-E

OS: Ubuntu 20.04, Kernel: 5.4.0-40-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

Core i5 2500K October 2020OpenBenchmarking.orgPhoronix Test SuiteIntel Core i5-2500K @ 3.70GHz (4 Cores)SAPPHIRE Pure Black P67 Hydra (4.6.4 BIOS)Intel 2nd Generation Core DRAM3072MB120GB SanDisk SDSSDA12ASUS AMD Radeon HD 4890 1GBRealtek ALC892DELL S2409WMarvell 88E8057 PCI-EUbuntu 20.045.4.0-40-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore I5 2500K October 2020 BenchmarksSystem Logs- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2f - GLAMOR- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04) - Python 2.7.18rc1 + Python 3.8.5- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Linux 5.4RepeatRepeat 2Result OverviewPhoronix Test Suite100%104%109%113%117%Zstd CompressionBYTE Unix BenchmarkKeyDBGLmark2Sunflow Rendering SystemIncompact3DLAMMPS Molecular Dynamics SimulatorGROMACSOpenVINORNNoiseHierarchical INTegrationApache CouchDBTensorFlow LiteeSpeak-NG Speech EngineFFTEDolfynNAMDMlpack BenchmarkInfluxDBLibRawTimed HMMer SearchSystem GZIP DecompressionWebP Image EncodeNCNNMonte Carlo Simulations of Ionised NebulaeCaffeTNN

Core i5 2500K October 2020glmark2: 1920 x 1080namd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchincompact3d: Cylindermocassin: 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 Benchmarkespeak: Text-To-Speech Synthesisrnnoise: system-decompress-gzip: couchdb: 100 - 1000 - 24keydb: gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200ncnn: 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 v1.1openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUhint: FLOATmlpack: scikit_icamlpack: scikit_svmsunflow: Global Illumination + Image Synthesisinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000Linux 5.4RepeatRepeat 210576.1723826.62313380.642811256176.1431039.577394072.1542.0753.13223.2929.89758.01729229484.424.711.419.0043.14629.9313.587250.701175757.680.270650796937754746395244127745256284857276100312172613466426924947.8060.2017.1243.487.7375.4389.212.6055.51452.4152.8634.84124.39110.54353.712329.1080.557313.030.557308.460.3611181.460.3511208.621370.542.881368.692.88288531427.6547274.9425.413.680711718.3727591.262220.910546.1531426.71013398.727646157175.9041042.571174072.1332.0803.13623.3559.86758.05729936822.918.411.119.0143.09929.7623.589250.097179397.950.271650591937713046406344130945261284850806094912193913459426917547.7960.1917.0943.117.7474.7690.132.5955.41454.2752.8834.84124.43110.95354.322329.7980.547335.970.547337.220.3511198.110.3511154.631370.862.881368.562.88289622712.1850575.0025.323.658711633.7731426.510706.1609526.62513424.432675427175.7081053.218794072.1472.0763.13623.3009.88557.99729778323.918.611.018.9743.25729.7963.591249.543175828.260.272650550937688346388645090145264284860536091512172313454026902248.0560.1317.1243.337.7374.3789.652.5955.46453.1652.9934.89124.36110.83353.668330.1920.547319.100.557326.690.3511225.270.3511260.831368.422.881370.142.89290073981.7756874.9025.483.628709465.1731592.462090.5OpenBenchmarking.org

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 1080Repeat 2RepeatLinux 5.42004006008001000107010541057

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 AtomsRepeat 2RepeatLinux 5.4246810SE +/- 0.01114, N = 3SE +/- 0.01749, N = 3SE +/- 0.00576, N = 36.160956.153146.17238
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRepeat 2RepeatLinux 5.4246810Min: 6.14 / Avg: 6.16 / Max: 6.18Min: 6.12 / Avg: 6.15 / Max: 6.18Min: 6.16 / Avg: 6.17 / Max: 6.18

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 DynamicsRepeat 2RepeatLinux 5.4612182430SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 326.6326.7126.62
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsRepeat 2RepeatLinux 5.4612182430Min: 26.55 / Avg: 26.62 / Max: 26.67Min: 26.64 / Avg: 26.71 / Max: 26.76Min: 26.6 / Avg: 26.62 / Max: 26.65

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 RoutineRepeat 2RepeatLinux 5.43K6K9K12K15KSE +/- 35.71, N = 3SE +/- 19.21, N = 3SE +/- 25.32, N = 313424.4313398.7313380.641. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineRepeat 2RepeatLinux 5.42K4K6K8K10KMin: 13376.7 / Avg: 13424.43 / Max: 13494.31Min: 13362.21 / Avg: 13398.73 / Max: 13427.33Min: 13331.59 / Avg: 13380.64 / Max: 13416.091. (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 SearchRepeat 2RepeatLinux 5.44080120160200SE +/- 0.10, N = 3SE +/- 0.21, N = 3SE +/- 0.12, N = 3175.71175.90176.141. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchRepeat 2RepeatLinux 5.4306090120150Min: 175.6 / Avg: 175.71 / Max: 175.91Min: 175.49 / Avg: 175.9 / Max: 176.19Min: 175.99 / Avg: 176.14 / Max: 176.391. (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: CylinderRepeat 2RepeatLinux 5.42004006008001000SE +/- 10.54, N = 3SE +/- 1.14, N = 3SE +/- 1.15, N = 31053.221042.571039.581. (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: CylinderRepeat 2RepeatLinux 5.42004006008001000Min: 1041.35 / Avg: 1053.22 / Max: 1074.23Min: 1040.43 / Avg: 1042.57 / Max: 1044.33Min: 1038.11 / Avg: 1039.58 / Max: 1041.841. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 tau100.0Repeat 2RepeatLinux 5.4901802703604504074074071. (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 ProteinRepeat 2RepeatLinux 5.40.48470.96941.45411.93882.4235SE +/- 0.011, N = 3SE +/- 0.011, N = 3SE +/- 0.009, N = 32.1472.1332.1541. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinRepeat 2RepeatLinux 5.4246810Min: 2.13 / Avg: 2.15 / Max: 2.16Min: 2.12 / Avg: 2.13 / Max: 2.16Min: 2.14 / Avg: 2.15 / Max: 2.161. (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: DefaultRepeat 2RepeatLinux 5.40.4680.9361.4041.8722.34SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 32.0762.0802.0751. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultRepeat 2RepeatLinux 5.4246810Min: 2.07 / Avg: 2.08 / Max: 2.08Min: 2.08 / Avg: 2.08 / Max: 2.08Min: 2.07 / Avg: 2.07 / Max: 2.081. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Repeat 2RepeatLinux 5.40.70561.41122.11682.82243.528SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 33.1363.1363.1321. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff
OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Repeat 2RepeatLinux 5.4246810Min: 3.13 / Avg: 3.14 / Max: 3.14Min: 3.13 / Avg: 3.14 / Max: 3.14Min: 3.13 / Avg: 3.13 / Max: 3.141. (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, LosslessRepeat 2RepeatLinux 5.4612182430SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.07, N = 323.3023.3623.291. (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, LosslessRepeat 2RepeatLinux 5.4510152025Min: 23.08 / Avg: 23.3 / Max: 23.52Min: 23.24 / Avg: 23.36 / Max: 23.48Min: 23.17 / Avg: 23.29 / Max: 23.411. (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 CompressionRepeat 2RepeatLinux 5.43691215SE +/- 0.016, N = 3SE +/- 0.008, N = 3SE +/- 0.014, N = 39.8859.8679.8971. (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 CompressionRepeat 2RepeatLinux 5.43691215Min: 9.87 / Avg: 9.88 / Max: 9.92Min: 9.85 / Avg: 9.87 / Max: 9.88Min: 9.88 / Avg: 9.9 / Max: 9.921. (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 CompressionRepeat 2RepeatLinux 5.41326395265SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.10, N = 358.0058.0658.021. (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 CompressionRepeat 2RepeatLinux 5.41122334455Min: 57.85 / Avg: 58 / Max: 58.12Min: 57.89 / Avg: 58.06 / Max: 58.24Min: 57.89 / Avg: 58.02 / Max: 58.221. (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 2Repeat 2RepeatLinux 5.46M12M18M24M30MSE +/- 377603.30, N = 5SE +/- 497912.48, N = 3SE +/- 468902.28, N = 929778323.929936822.929229484.4
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Repeat 2RepeatLinux 5.45M10M15M20M25MMin: 28839489.8 / Avg: 29778323.88 / Max: 30491216.7Min: 28942278.5 / Avg: 29936822.9 / Max: 30477816.8Min: 26052848.2 / Avg: 29229484.39 / Max: 30523175.1

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: 3Repeat 2RepeatLinux 5.4612182430SE +/- 0.06, N = 3SE +/- 0.15, N = 3SE +/- 2.92, N = 1218.618.424.71. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Repeat 2RepeatLinux 5.4612182430Min: 18.5 / Avg: 18.6 / Max: 18.7Min: 18.1 / Avg: 18.4 / Max: 18.6Min: 19.5 / Avg: 24.66 / Max: 551. (CC) gcc options: -O3 -pthread -lz -llzma

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Repeat 2RepeatLinux 5.43691215SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 311.011.111.41. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Repeat 2RepeatLinux 5.43691215Min: 10.9 / Avg: 11 / Max: 11.2Min: 10.9 / Avg: 11.07 / Max: 11.3Min: 11.4 / Avg: 11.43 / Max: 11.51. (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 BenchmarkRepeat 2RepeatLinux 5.4510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 318.9719.0119.001. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkRepeat 2RepeatLinux 5.4510152025Min: 18.96 / Avg: 18.97 / Max: 18.98Min: 18.97 / Avg: 19.01 / Max: 19.03Min: 18.99 / Avg: 19 / Max: 19.021. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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 SynthesisRepeat 2RepeatLinux 5.41020304050SE +/- 0.06, N = 4SE +/- 0.13, N = 4SE +/- 0.14, N = 443.2643.1043.151. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisRepeat 2RepeatLinux 5.4918273645Min: 43.14 / Avg: 43.26 / Max: 43.42Min: 42.71 / Avg: 43.1 / Max: 43.26Min: 42.76 / Avg: 43.15 / Max: 43.41. (CC) gcc options: -O2 -std=c99

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 2020-06-28Repeat 2RepeatLinux 5.4714212835SE +/- 0.11, N = 3SE +/- 0.18, N = 3SE +/- 0.15, N = 329.8029.7629.931. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Repeat 2RepeatLinux 5.4714212835Min: 29.57 / Avg: 29.8 / Max: 29.94Min: 29.41 / Avg: 29.76 / Max: 29.97Min: 29.64 / Avg: 29.93 / Max: 30.091. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 DecompressionRepeat 2RepeatLinux 5.40.8081.6162.4243.2324.04SE +/- 0.037, N = 14SE +/- 0.033, N = 13SE +/- 0.033, N = 133.5913.5893.587
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionRepeat 2RepeatLinux 5.4246810Min: 3.55 / Avg: 3.59 / Max: 4.07Min: 3.55 / Avg: 3.59 / Max: 3.99Min: 3.55 / Avg: 3.59 / Max: 3.99

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: 24Repeat 2RepeatLinux 5.450100150200250SE +/- 1.09, N = 3SE +/- 0.98, N = 3SE +/- 1.63, N = 3249.54250.10250.701. (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: 24Repeat 2RepeatLinux 5.450100150200250Min: 248.16 / Avg: 249.54 / Max: 251.69Min: 248.48 / Avg: 250.1 / Max: 251.85Min: 247.62 / Avg: 250.7 / Max: 253.171. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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 6.0.16Repeat 2RepeatLinux 5.440K80K120K160K200KSE +/- 1595.64, N = 3SE +/- 2361.06, N = 3SE +/- 2962.51, N = 3175828.26179397.95175757.681. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Repeat 2RepeatLinux 5.430K60K90K120K150KMin: 172811.38 / Avg: 175828.26 / Max: 178237.83Min: 175475.27 / Avg: 179397.95 / Max: 183635.95Min: 171664.11 / Avg: 175757.68 / Max: 181514.11. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 BenchmarkRepeat 2RepeatLinux 5.40.06120.12240.18360.24480.306SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.2720.2710.2701. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkRepeat 2RepeatLinux 5.412345Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.27Min: 0.27 / Avg: 0.27 / Max: 0.271. (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: SqueezeNetRepeat 2RepeatLinux 5.4140K280K420K560K700KSE +/- 56.54, N = 3SE +/- 32.51, N = 3SE +/- 114.12, N = 3650550650591650796
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRepeat 2RepeatLinux 5.4110K220K330K440K550KMin: 650470 / Avg: 650549.67 / Max: 650659Min: 650526 / Avg: 650591 / Max: 650625Min: 650662 / Avg: 650796 / Max: 651023

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Repeat 2RepeatLinux 5.42M4M6M8M10MSE +/- 406.99, N = 3SE +/- 115.47, N = 3SE +/- 451.68, N = 3937688393771309377547
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Repeat 2RepeatLinux 5.41.6M3.2M4.8M6.4M8MMin: 9376110 / Avg: 9376883.33 / Max: 9377490Min: 9376930 / Avg: 9377130 / Max: 9377330Min: 9376910 / Avg: 9377546.67 / Max: 9378420

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRepeat 2RepeatLinux 5.4100K200K300K400K500KSE +/- 28.14, N = 3SE +/- 133.08, N = 3SE +/- 83.80, N = 3463886464063463952
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRepeat 2RepeatLinux 5.480K160K240K320K400KMin: 463840 / Avg: 463885.67 / Max: 463937Min: 463900 / Avg: 464063.33 / Max: 464327Min: 463841 / Avg: 463951.67 / Max: 464116

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRepeat 2RepeatLinux 5.4100K200K300K400K500KSE +/- 5926.42, N = 5SE +/- 16.17, N = 3SE +/- 53.29, N = 3450901441309441277
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRepeat 2RepeatLinux 5.480K160K240K320K400KMin: 441113 / Avg: 450901.2 / Max: 467678Min: 441281 / Avg: 441309 / Max: 441337Min: 441181 / Avg: 441277.33 / Max: 441365

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRepeat 2RepeatLinux 5.4100K200K300K400K500KSE +/- 119.87, N = 3SE +/- 39.35, N = 3SE +/- 74.31, N = 3452642452612452562
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRepeat 2RepeatLinux 5.480K160K240K320K400KMin: 452430 / Avg: 452641.67 / Max: 452845Min: 452566 / Avg: 452611.67 / Max: 452690Min: 452416 / Avg: 452561.67 / Max: 452660

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Repeat 2RepeatLinux 5.42M4M6M8M10MSE +/- 1248.36, N = 3SE +/- 151.33, N = 3SE +/- 971.09, N = 3848605384850808485727
OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Repeat 2RepeatLinux 5.41.5M3M4.5M6M7.5MMin: 8484790 / Avg: 8486053.33 / Max: 8488550Min: 8484860 / Avg: 8485080 / Max: 8485370Min: 8484140 / Avg: 8485726.67 / Max: 8487490

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: 100Repeat 2RepeatLinux 5.413K26K39K52K65KSE +/- 106.47, N = 3SE +/- 27.70, N = 3SE +/- 80.23, N = 36091560949610031. (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: 100Repeat 2RepeatLinux 5.411K22K33K44K55KMin: 60713 / Avg: 60915.33 / Max: 61074Min: 60909 / Avg: 60948.67 / Max: 61002Min: 60871 / Avg: 61003 / Max: 611481. (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: 200Repeat 2RepeatLinux 5.430K60K90K120K150KSE +/- 191.87, N = 3SE +/- 251.34, N = 3SE +/- 122.56, N = 31217231219391217261. (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: 200Repeat 2RepeatLinux 5.420K40K60K80K100KMin: 121342 / Avg: 121722.67 / Max: 121955Min: 121436 / Avg: 121938.67 / Max: 122194Min: 121520 / Avg: 121725.67 / Max: 1219441. (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: 100Repeat 2RepeatLinux 5.430K60K90K120K150KSE +/- 93.15, N = 3SE +/- 81.84, N = 3SE +/- 118.19, N = 31345401345941346641. (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: 100Repeat 2RepeatLinux 5.420K40K60K80K100KMin: 134438 / Avg: 134540 / Max: 134726Min: 134433 / Avg: 134594 / Max: 134700Min: 134448 / Avg: 134664.33 / Max: 1348551. (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: 200Repeat 2RepeatLinux 5.460K120K180K240K300KSE +/- 129.66, N = 3SE +/- 108.31, N = 3SE +/- 64.59, N = 32690222691752692491. (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: 200Repeat 2RepeatLinux 5.450K100K150K200K250KMin: 268814 / Avg: 269021.67 / Max: 269260Min: 268997 / Avg: 269175.33 / Max: 269371Min: 269120 / Avg: 269248.67 / Max: 2693231. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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: squeezenetRepeat 2RepeatLinux 5.41122334455SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.08, N = 348.0547.7947.80MIN: 47.73 / MAX: 51.64MIN: 47.47 / MAX: 58.43MIN: 47.5 / MAX: 52.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetRepeat 2RepeatLinux 5.41020304050Min: 47.94 / Avg: 48.05 / Max: 48.12Min: 47.61 / Avg: 47.79 / Max: 47.91Min: 47.64 / Avg: 47.8 / Max: 47.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRepeat 2RepeatLinux 5.41326395265SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 360.1360.1960.20MIN: 59.92 / MAX: 63.15MIN: 59.95 / MAX: 100.57MIN: 59.91 / MAX: 104.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetRepeat 2RepeatLinux 5.41224364860Min: 60.1 / Avg: 60.13 / Max: 60.16Min: 60.12 / Avg: 60.19 / Max: 60.31Min: 60.09 / Avg: 60.2 / Max: 60.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Repeat 2RepeatLinux 5.448121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 317.1217.0917.12MIN: 17.06 / MAX: 18.94MIN: 16.98 / MAX: 19.15MIN: 17.01 / MAX: 21.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Repeat 2RepeatLinux 5.448121620Min: 17.1 / Avg: 17.12 / Max: 17.15Min: 17.07 / Avg: 17.09 / Max: 17.11Min: 17.11 / Avg: 17.12 / Max: 17.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Repeat 2RepeatLinux 5.41020304050SE +/- 0.19, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 343.3343.1143.48MIN: 42.83 / MAX: 57.16MIN: 42.42 / MAX: 46.28MIN: 43.11 / MAX: 57.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Repeat 2RepeatLinux 5.4918273645Min: 43.02 / Avg: 43.33 / Max: 43.68Min: 42.99 / Avg: 43.11 / Max: 43.27Min: 43.43 / Avg: 43.48 / Max: 43.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Repeat 2RepeatLinux 5.4246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.737.747.73MIN: 7.7 / MAX: 8.93MIN: 7.7 / MAX: 10.7MIN: 7.7 / MAX: 9.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Repeat 2RepeatLinux 5.43691215Min: 7.72 / Avg: 7.73 / Max: 7.74Min: 7.73 / Avg: 7.74 / Max: 7.75Min: 7.73 / Avg: 7.73 / Max: 7.741. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRepeat 2RepeatLinux 5.420406080100SE +/- 0.44, N = 3SE +/- 0.72, N = 3SE +/- 0.18, N = 374.3774.7675.43MIN: 73.23 / MAX: 87.83MIN: 73.22 / MAX: 79.51MIN: 73.64 / MAX: 114.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetRepeat 2RepeatLinux 5.41428425670Min: 73.71 / Avg: 74.37 / Max: 75.2Min: 73.42 / Avg: 74.76 / Max: 75.89Min: 75.12 / Avg: 75.43 / Max: 75.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Repeat 2RepeatLinux 5.420406080100SE +/- 0.42, N = 3SE +/- 0.82, N = 3SE +/- 0.03, N = 389.6590.1389.21MIN: 88.03 / MAX: 94.73MIN: 87.86 / MAX: 128.03MIN: 88.39 / MAX: 103.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Repeat 2RepeatLinux 5.420406080100Min: 88.82 / Avg: 89.65 / Max: 90.17Min: 89.15 / Avg: 90.13 / Max: 91.77Min: 89.15 / Avg: 89.21 / Max: 89.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRepeat 2RepeatLinux 5.40.5851.171.7552.342.925SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.592.592.60MIN: 2.56 / MAX: 2.84MIN: 2.56 / MAX: 2.71MIN: 2.56 / MAX: 6.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceRepeat 2RepeatLinux 5.4246810Min: 2.58 / Avg: 2.59 / Max: 2.59Min: 2.58 / Avg: 2.59 / Max: 2.59Min: 2.59 / Avg: 2.6 / Max: 2.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetRepeat 2RepeatLinux 5.41224364860SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 355.4655.4155.51MIN: 55.25 / MAX: 66.31MIN: 55.11 / MAX: 65.65MIN: 55.31 / MAX: 69.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetRepeat 2RepeatLinux 5.41122334455Min: 55.4 / Avg: 55.46 / Max: 55.49Min: 55.27 / Avg: 55.41 / Max: 55.49Min: 55.5 / Avg: 55.51 / Max: 55.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Repeat 2RepeatLinux 5.4100200300400500SE +/- 0.53, N = 3SE +/- 2.81, N = 3SE +/- 1.14, N = 3453.16454.27452.41MIN: 448.99 / MAX: 493.9MIN: 448.26 / MAX: 760.1MIN: 448.51 / MAX: 479.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Repeat 2RepeatLinux 5.480160240320400Min: 452.23 / Avg: 453.16 / Max: 454.06Min: 451.27 / Avg: 454.27 / Max: 459.88Min: 450.43 / Avg: 452.41 / Max: 454.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Repeat 2RepeatLinux 5.41224364860SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.11, N = 352.9952.8852.86MIN: 52.72 / MAX: 55.99MIN: 52.53 / MAX: 56.47MIN: 52.48 / MAX: 64.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Repeat 2RepeatLinux 5.41122334455Min: 52.92 / Avg: 52.99 / Max: 53.1Min: 52.72 / Avg: 52.88 / Max: 53.02Min: 52.64 / Avg: 52.86 / Max: 52.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRepeat 2RepeatLinux 5.4816243240SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 334.8934.8434.84MIN: 34.69 / MAX: 49.93MIN: 34.74 / MAX: 36.93MIN: 34.71 / MAX: 37.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetRepeat 2RepeatLinux 5.4714212835Min: 34.77 / Avg: 34.89 / Max: 35.04Min: 34.82 / Avg: 34.84 / Max: 34.87Min: 34.79 / Avg: 34.84 / Max: 34.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Repeat 2RepeatLinux 5.4306090120150SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.24, N = 3124.36124.43124.39MIN: 123.86 / MAX: 136.86MIN: 123.89 / MAX: 138.17MIN: 123.6 / MAX: 139.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Repeat 2RepeatLinux 5.420406080100Min: 124.17 / Avg: 124.36 / Max: 124.69Min: 124.12 / Avg: 124.43 / Max: 124.66Min: 123.92 / Avg: 124.39 / Max: 124.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRepeat 2RepeatLinux 5.420406080100SE +/- 0.09, N = 3SE +/- 0.15, N = 3SE +/- 0.14, N = 3110.83110.95110.54MIN: 110.26 / MAX: 124.62MIN: 110.22 / MAX: 125.11MIN: 109.8 / MAX: 115.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyRepeat 2RepeatLinux 5.420406080100Min: 110.66 / Avg: 110.83 / Max: 110.92Min: 110.66 / Avg: 110.95 / Max: 111.11Min: 110.29 / Avg: 110.54 / Max: 110.781. (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 v2Repeat 2RepeatLinux 5.480160240320400SE +/- 0.24, N = 3SE +/- 0.54, N = 3SE +/- 0.40, N = 3353.67354.32353.71MIN: 352.88 / MAX: 359.05MIN: 353.06 / MAX: 361.41MIN: 352.69 / MAX: 355.031. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Repeat 2RepeatLinux 5.460120180240300Min: 353.23 / Avg: 353.67 / Max: 354.07Min: 353.5 / Avg: 354.32 / Max: 355.35Min: 353.22 / Avg: 353.71 / Max: 354.51. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Repeat 2RepeatLinux 5.470140210280350SE +/- 0.14, N = 3SE +/- 0.95, N = 3SE +/- 1.06, N = 3330.19329.80329.11MIN: 329.57 / MAX: 331.64MIN: 326.97 / MAX: 332.22MIN: 326.65 / MAX: 331.541. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Repeat 2RepeatLinux 5.460120180240300Min: 329.93 / Avg: 330.19 / Max: 330.4Min: 327.98 / Avg: 329.8 / Max: 331.16Min: 327.05 / Avg: 329.11 / Max: 330.561. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURepeat 2RepeatLinux 5.40.12380.24760.37140.49520.619SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.540.540.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURepeat 2RepeatLinux 5.4246810Min: 0.54 / Avg: 0.54 / Max: 0.55Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.55 / Max: 0.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURepeat 2RepeatLinux 5.416003200480064008000SE +/- 6.49, N = 3SE +/- 18.11, N = 3SE +/- 8.64, N = 37319.107335.977313.031. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPURepeat 2RepeatLinux 5.413002600390052006500Min: 7309.89 / Avg: 7319.1 / Max: 7331.64Min: 7300.28 / Avg: 7335.97 / Max: 7359.2Min: 7300.6 / Avg: 7313.03 / Max: 7329.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURepeat 2RepeatLinux 5.40.12380.24760.37140.49520.619SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.550.540.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURepeat 2RepeatLinux 5.4246810Min: 0.54 / Avg: 0.55 / Max: 0.55Min: 0.54 / Avg: 0.54 / Max: 0.54Min: 0.54 / Avg: 0.55 / Max: 0.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURepeat 2RepeatLinux 5.416003200480064008000SE +/- 14.19, N = 3SE +/- 14.44, N = 3SE +/- 0.94, N = 37326.697337.227308.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPURepeat 2RepeatLinux 5.413002600390052006500Min: 7305.45 / Avg: 7326.69 / Max: 7353.6Min: 7317.46 / Avg: 7337.22 / Max: 7365.35Min: 7307.16 / Avg: 7308.46 / Max: 7310.31. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURepeat 2RepeatLinux 5.40.0810.1620.2430.3240.405SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.350.350.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURepeat 2RepeatLinux 5.412345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.36 / Max: 0.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURepeat 2RepeatLinux 5.42K4K6K8K10KSE +/- 11.01, N = 3SE +/- 16.61, N = 3SE +/- 11.57, N = 311225.2711198.1111181.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPURepeat 2RepeatLinux 5.42K4K6K8K10KMin: 11206.89 / Avg: 11225.27 / Max: 11244.97Min: 11178.54 / Avg: 11198.11 / Max: 11231.14Min: 11159.17 / Avg: 11181.46 / Max: 11197.971. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURepeat 2RepeatLinux 5.40.07880.15760.23640.31520.394SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.350.350.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURepeat 2RepeatLinux 5.412345Min: 0.35 / Avg: 0.35 / Max: 0.35Min: 0.35 / Avg: 0.35 / Max: 0.36Min: 0.35 / Avg: 0.35 / Max: 0.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURepeat 2RepeatLinux 5.42K4K6K8K10KSE +/- 21.47, N = 3SE +/- 14.24, N = 3SE +/- 3.88, N = 311260.8311154.6311208.621. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPURepeat 2RepeatLinux 5.42K4K6K8K10KMin: 11230.12 / Avg: 11260.83 / Max: 11302.18Min: 11132.13 / Avg: 11154.63 / Max: 11181.01Min: 11202.21 / Avg: 11208.62 / Max: 11215.61. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURepeat 2RepeatLinux 5.430060090012001500SE +/- 0.73, N = 3SE +/- 1.30, N = 3SE +/- 1.39, N = 31368.421370.861370.541. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURepeat 2RepeatLinux 5.42004006008001000Min: 1367.02 / Avg: 1368.42 / Max: 1369.48Min: 1368.53 / Avg: 1370.86 / Max: 1373.03Min: 1368.05 / Avg: 1370.54 / Max: 1372.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURepeat 2RepeatLinux 5.40.6481.2961.9442.5923.24SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.882.882.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPURepeat 2RepeatLinux 5.4246810Min: 2.88 / Avg: 2.88 / Max: 2.89Min: 2.88 / Avg: 2.88 / Max: 2.88Min: 2.88 / Avg: 2.88 / Max: 2.891. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURepeat 2RepeatLinux 5.430060090012001500SE +/- 0.71, N = 3SE +/- 0.95, N = 3SE +/- 1.44, N = 31370.141368.561368.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURepeat 2RepeatLinux 5.42004006008001000Min: 1368.93 / Avg: 1370.14 / Max: 1371.39Min: 1366.75 / Avg: 1368.56 / Max: 1369.98Min: 1366.43 / Avg: 1368.69 / Max: 1371.361. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURepeat 2RepeatLinux 5.40.65031.30061.95092.60123.2515SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.892.882.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPURepeat 2RepeatLinux 5.4246810Min: 2.89 / Avg: 2.89 / Max: 2.89Min: 2.88 / Avg: 2.88 / Max: 2.88Min: 2.88 / Avg: 2.88 / Max: 2.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -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: FLOATRepeat 2RepeatLinux 5.460M120M180M240M300MSE +/- 107944.20, N = 3SE +/- 354272.49, N = 3SE +/- 890150.21, N = 3290073981.78289622712.19288531427.651. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATRepeat 2RepeatLinux 5.450M100M150M200M250MMin: 289897167.03 / Avg: 290073981.78 / Max: 290269665.71Min: 289205445.94 / Avg: 289622712.19 / Max: 290327272.38Min: 286855244.64 / Avg: 288531427.65 / Max: 289889047.861. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaRepeat 2RepeatLinux 5.420406080100SE +/- 0.07, N = 3SE +/- 0.14, N = 3SE +/- 0.05, N = 374.9075.0074.94
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaRepeat 2RepeatLinux 5.41428425670Min: 74.77 / Avg: 74.9 / Max: 75Min: 74.81 / Avg: 75 / Max: 75.28Min: 74.86 / Avg: 74.94 / Max: 75.02

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRepeat 2RepeatLinux 5.4612182430SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 325.4825.3225.41
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmRepeat 2RepeatLinux 5.4612182430Min: 25.35 / Avg: 25.48 / Max: 25.71Min: 25.28 / Avg: 25.32 / Max: 25.38Min: 25.27 / Avg: 25.41 / Max: 25.61

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisRepeat 2RepeatLinux 5.40.8281.6562.4843.3124.14SE +/- 0.036, N = 8SE +/- 0.043, N = 3SE +/- 0.046, N = 53.6283.6583.680MIN: 3.21 / MAX: 4.39MIN: 3.38 / MAX: 4.34MIN: 3.3 / MAX: 4.45
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image SynthesisRepeat 2RepeatLinux 5.4246810Min: 3.47 / Avg: 3.63 / Max: 3.75Min: 3.59 / Avg: 3.66 / Max: 3.74Min: 3.58 / Avg: 3.68 / Max: 3.85

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: 10000Repeat 2RepeatLinux 5.4150K300K450K600K750KSE +/- 706.90, N = 3SE +/- 522.34, N = 3SE +/- 901.06, N = 3709465.1711633.7711718.3
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Repeat 2RepeatLinux 5.4120K240K360K480K600KMin: 708738.9 / Avg: 709465.07 / Max: 710878.7Min: 711106.3 / Avg: 711633.73 / Max: 712678.4Min: 710745.5 / Avg: 711718.33 / Max: 713518.5

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Repeat 2RepeatLinux 5.4160K320K480K640K800KSE +/- 2240.21, N = 3SE +/- 57.15, N = 3SE +/- 1068.88, N = 3731592.4731426.5727591.2
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Repeat 2RepeatLinux 5.4130K260K390K520K650KMin: 727184.9 / Avg: 731592.4 / Max: 734493.3Min: 731319.7 / Avg: 731426.47 / Max: 731515.2Min: 725553.6 / Avg: 727591.23 / Max: 729170

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Repeat 2Linux 5.413K26K39K52K65KSE +/- 7769.83, N = 12SE +/- 7730.84, N = 1162090.562220.9
OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Repeat 2Linux 5.411K22K33K44K55KMin: 7622.9 / Avg: 62090.45 / Max: 111813.8Min: 2305.2 / Avg: 62220.89 / Max: 89658.1

68 Results Shown

GLmark2
NAMD
Dolfyn
FFTE
Timed HMMer Search
Incompact3D
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
eSpeak-NG Speech Engine
RNNoise
System GZIP Decompression
Apache CouchDB
KeyDB
GROMACS
TensorFlow Lite:
  SqueezeNet
  Inception V4
  NASNet Mobile
  Mobilenet Float
  Mobilenet Quant
  Inception ResNet V2
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
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
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    FPS
    ms
  Face Detection 0106 FP32 - CPU:
    FPS
    ms
  Person Detection 0106 FP16 - CPU:
    FPS
    ms
  Person Detection 0106 FP32 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP32 - CPU:
    FPS
    ms
Hierarchical INTegration
Mlpack Benchmark:
  scikit_ica
  scikit_svm
Sunflow Rendering System
InfluxDB:
  4 - 10000 - 2,5000,1 - 10000
  64 - 10000 - 2,5000,1 - 10000
  1024 - 10000 - 2,5000,1 - 10000

Linux 5.4

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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2f
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18rc1 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 11 October 2020 13:35 by user phoronix.

Repeat

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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2f
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18rc1 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 11 October 2020 21:01 by user phoronix.

Repeat 2

Processor: Intel Core i5-2500K @ 3.70GHz (4 Cores), Motherboard: SAPPHIRE Pure Black P67 Hydra (4.6.4 BIOS), Chipset: Intel 2nd Generation Core DRAM, Memory: 3072MB, Disk: 120GB SanDisk SDSSDA12, Graphics: ASUS AMD Radeon HD 4890 1GB, Audio: Realtek ALC892, Monitor: DELL S2409W, Network: Marvell 88E8057 PCI-E

OS: Ubuntu 20.04, Kernel: 5.4.0-40-generic (x86_64), Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080

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=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2f
Graphics Notes: GLAMOR
Java Notes: OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)
Python Notes: Python 2.7.18rc1 + Python 3.8.5
Security Notes: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 12 October 2020 06:14 by user phoronix.