Xeon E3-1245 v5 Ubuntu Linux 5.4

Intel Xeon E3-1245 v5 testing with a MSI C236A WORKSTATION (MS-7998) v1.0 (2.90 BIOS) and MSI Intel HD P530 3GB 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 2010041-FI-XEONE312446
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

AV1 2 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 3 Tests
Chess Test Suite 3 Tests
Timed Code Compilation 4 Tests
C/C++ Compiler Tests 12 Tests
Compression Tests 3 Tests
CPU Massive 17 Tests
Creator Workloads 14 Tests
Database Test Suite 3 Tests
Encoding 2 Tests
Fortran Tests 5 Tests
Game Development 2 Tests
HPC - High Performance Computing 24 Tests
Imaging 5 Tests
Machine Learning 12 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 5 Tests
Multi-Core 13 Tests
NVIDIA GPU Compute 7 Tests
OCR 2 Tests
OpenCL 2 Tests
OpenMPI Tests 6 Tests
Programmer / Developer System Benchmarks 5 Tests
Python Tests 8 Tests
Scientific Computing 11 Tests
Server 3 Tests
Server CPU Tests 8 Tests
Single-Threaded 5 Tests
Speech 3 Tests
Video Encoding 2 Tests
Vulkan Compute 3 Tests
Common Workstation Benchmarks 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Perf-Per
Dollar
Date
Triggered
  Test
  Duration
Linux 5.4
October 02 2020
  17 Hours, 38 Minutes
Linux 5.8
October 03 2020
  17 Hours, 28 Minutes
Linux 5.9 Git
October 03 2020
  17 Hours, 34 Minutes
Invert Hiding All Results Option
  17 Hours, 34 Minutes
Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):


Xeon E3-1245 v5 Ubuntu Linux 5.4ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionVulkanLinux 5.4Linux 5.8Linux 5.9 GitIntel Xeon E3-1245 v5 @ 3.90GHz (4 Cores / 8 Threads)MSI C236A WORKSTATION (MS-7998) v1.0 (2.90 BIOS)Intel Xeon E3-1200 v5/E3-150032GB120GB Samsung SSD 850MSI Intel HD P530 3GB (1150MHz)Realtek ALC1150LG Ultra HDIntel I219-VUbuntu 20.045.4.0-37-generic (x86_64)GNOME Shell 3.36.2X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4GCC 9.3.0ext43840x21605.8.13-050813-generic (x86_64)1.2.1315.9.0-050900rc7daily20201003-generic (x86_64) 20201002GNOME 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- Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdcPython 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: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - Linux 5.8: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - Linux 5.9 Git: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Linux 5.4Linux 5.8Linux 5.9 GitLogarithmic Result OverviewPhoronix Test Suite 10.2.2RealSR-NCNNGLmark2Apache CouchDBLeelaChessZeroNCNNKeyDBCraftyInfluxDBDeepSpeechSystem GZIP DecompressionMlpack BenchmarkTimed GDB GNU Debugger CompilationeSpeak-NG Speech EngineVkFFTMontage Astronomical Image Mosaic EngineHuginBYTE Unix BenchmarkMobile Neural Networklibavif avifencRNNoiseTimed Apache CompilationTSCPXZ CompressiononeDNNTesseract OCRECP-CANDLEGPAWTimed Linux Kernel CompilationDolfynRodiniaLAMMPS Molecular Dynamics SimulatorLibRawGROMACSMPVFFTETNNAOM AV1NAMDMonte Carlo Simulations of Ionised NebulaeASTC EncoderOCRMyPDFTimed MAFFT AlignmentZstd CompressionWebP Image EncodeKripkeAI Benchmark AlphaTimed HMMer SearchHierarchical INTegrationTensorFlow LiteBlenderTimed LLVM CompilationCaffeIncompact3D

Xeon E3-1245 v5 Ubuntu Linux 5.4realsr-ncnn: 4x - Noncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - efficientnet-b0lczero: BLASncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - resnet50glmark2: 3840 x 2160ncnn: Vulkan GPU - yolov4-tinycouchdb: 100 - 1000 - 24glmark2: 1920 x 1080onednn: Recurrent Neural Network Inference - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUncnn: Vulkan GPU - vgg16mlpack: scikit_icakeydb: onednn: Recurrent Neural Network Training - f32 - CPUcrafty: Elapsed Timeonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUonednn: IP Batch 1D - f32 - CPUdeepspeech: CPUlczero: Eigenonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: IP Batch All - u8s8f32 - CPUsystem-decompress-gzip: mlpack: scikit_linearridgeregressionbuild-gdb: Time To Compileonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUncnn: CPU - alexnetespeak: Text-To-Speech Synthesisvkfft: montage: Mosaic of M17, K band, 1.5 deg x 1.5 deghugin: Panorama Photo Assistant + Stitching Timerodinia: OpenMP Leukocytemnn: resnet-v2-50avifenc: 8ncnn: CPU - blazefaceecp-candle: P3B2mnn: SqueezeNetV1.0ecp-candle: P3B1ecp-candle: P1B2astcenc: Fastwebp: Quality 100avifenc: 10mnn: inception-v3byte: Dhrystone 2gpaw: Carbon Nanotubemlpack: scikit_svmrnnoise: build-apache: Time To Compiletscp: AI Chess Performanceavifenc: 2influxdb: 64 - 10000 - 2,5000,1 - 10000compress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9webp: Quality 100, Losslessncnn: CPU - mnasnetaom-av1: Speed 8 Realtimetesseract-ocr: Time To OCR 7 Imagesrodinia: OpenMP LavaMDmnn: mobilenet-v1-1.0ncnn: CPU - efficientnet-b0mnn: MobileNetV2_224build-linux-kernel: Time To Compiletnn: CPU - SqueezeNet v1.1ncnn: CPU - vgg16rodinia: OpenMP CFD Solverwebp: Quality 100, Lossless, Highest Compressionrodinia: OpenMP HotSpot3Dmpv: Big Buck Bunny Sunflower 4K - Software Onlycaffe: GoogleNet - CPU - 200aom-av1: Speed 4 Two-Passdolfyn: Computational Fluid Dynamicswebp: Defaultncnn: CPU-v2-v2 - mobilenet-v2onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUcompress-zstd: 19ncnn: CPU - squeezenetincompact3d: Cylinderwebp: Quality 100, Highest Compressionlammps: Rhodopsin Proteinavifenc: 0onednn: Convolution Batch Shapes Auto - u8s8f32 - CPUlibraw: Post-Processing Benchmarkgromacs: Water Benchmarkffte: N=256, 3D Complex FFT Routinencnn: CPU - mobilenetaom-av1: Speed 6 Two-Passmocassin: Dust 2D tau100.0namd: ATPase Simulation - 327,506 Atomscaffe: GoogleNet - CPU - 100mpv: Big Buck Bunny Sunflower 1080p - Software Onlyncnn: CPU - yolov4-tinyinfluxdb: 1024 - 10000 - 2,5000,1 - 10000onednn: Convolution Batch Shapes Auto - f32 - CPUai-benchmark: Device Inference Scorecaffe: AlexNet - CPU - 100ocrmypdf: Processing 60 Page PDF Documentncnn: CPU - resnet18build-llvm: Time To Compilencnn: CPU - googlenetncnn: CPU - shufflenet-v2blender: BMW27 - CPU-Onlymafft: Multiple Sequence Alignment - LSU RNAhmmer: Pfam Database Searchonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUkripke: ncnn: CPU-v3-v3 - mobilenet-v3astcenc: Thoroughai-benchmark: Device AI Scorecompress-zstd: 3tensorflow-lite: Mobilenet Quanthint: FLOATblender: Fishy Cat - CPU-Onlyrodinia: OpenMP Streamclusterncnn: CPU - resnet50tnn: CPU - MobileNet v2astcenc: Mediumcaffe: AlexNet - CPU - 200tensorflow-lite: NASNet Mobiletensorflow-lite: SqueezeNetastcenc: Exhaustivetensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4tensorflow-lite: Mobilenet Floatai-benchmark: Device Training Scoreaom-av1: Speed 6 Realtimeaom-av1: Speed 0 Two-Passncnn: Vulkan GPU - shufflenet-v2mlpack: scikit_qdainfluxdb: 4 - 10000 - 2,5000,1 - 10000ncnn: Vulkan GPU - blazefaceLinux 5.4Linux 5.8Linux 5.9 Git17.24146.4352.1342.1630.8679736.8016.3257.9415.1114.7287.1113589.34175.791543285.9619.2583714.3651214.2171.10393603.00569.39775473203.77996111.1158.1723378.513317175.1574849.86093.2824.29159.60410.394722.5633.933114189.55973.463254.67556.1648.1992.17590.04710.2551212.78746.1289.022.7287.60062.30838538549.1598.32027.8627.87032.7321141277108.057990095.150.73519.3616.6635.8227.447570.4147.74810.515.601199.635344.44489.3547.39347.466118.30332.103288881.8821.4251.7417.797.1657520.524.88750.9176238.1482.746182.45618.752927.660.50420328.49517754428.943.003053.87433164645139.4539.48996459.919.94266646694255.53823.091493.22223.084.67382.6712.268125.4307.41923178357306.5372.2613972386.0348999381569301.12653532.4928.73446.50366.29711.14133823366947499694578.176517420720416733941273314.990.2210.1188.35870964.92.63283.50038.5943.8035.4826.0267831.341451.301312.6975.2511979.45157.303502270.6659.7357915.1450206.4868.13381234.65548.04474692983.90177114.2368.3770680.609557015.0498050.97123.3394.24157.32310.307422.1234.257116190.69774.056256.91656.9348.2572.14598.28410.3731226.03945.5759.122.7427.63962.93138513841.4597.09328.1228.13032.7121134693108.403984645.350.61819.3336.6135.5727.639568.0947.78810.445.638199.789346.50088.9547.67147.260118.45932.223304351.8721.4761.7507.827.1986720.424.76754.2939048.1842.758182.78818.828527.650.50420258.59621982128.852.993043.88624165139139.8839.36993437.419.88626636706755.39323.111490.32723.034.66382.2512.291125.4957.42274178663576.5372.3213962389.3348976381270686.12418531.9128.73046.45366.39311.14133870366914499845578.306518137720427333937273314.990.2210.0684.76814462.22.35283.46238.1743.8035.4726.0277931.3613.9949.781312.6875.2713779.33161.474552260.9649.8278614.7150205.1570.06377603.40558.86373022563.84716110.7168.4070380.047497195.0449250.24473.3554.33160.63610.185022.4134.588116191.03374.650258.77257.0448.3162.15592.26710.3961229.3345.9769.072.7567.67862.56138169338.8602.79027.8728.08833.0081131430108.956982092.151.02619.2146.6235.6527.567566.5327.80010.455.605200.948346.14088.8247.63147.190118.97732.283306641.8821.5371.7497.787.2020320.424.84754.2693898.1612.758183.22518.793527.550.50220335.30933309828.842.993043.88703165181139.7539.45994952.919.88226656688855.50923.051493.85023.074.66381.9312.291125.6607.40944178482176.5272.3713982389.0349438381134357.52245532.1828.70346.46366.63111.15133774367078499825578.226518793720290733943473314.990.2211.0986.12805704.52.29OpenBenchmarking.org

RealSR-NCNN

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoLinux 5.4Linux 5.8Linux 5.9 Git60120180240300SE +/- 0.24, N = 4SE +/- 0.08, N = 3SE +/- 0.02, N = 317.24283.50283.46
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoLinux 5.4Linux 5.8Linux 5.9 Git50100150200250Min: 16.89 / Avg: 17.24 / Max: 17.97Min: 283.38 / Avg: 283.5 / Max: 283.65Min: 283.43 / Avg: 283.46 / Max: 283.5

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.43, N = 3SE +/- 0.25, N = 3SE +/- 0.24, N = 346.4338.5938.17MIN: 44.53 / MAX: 65.27MIN: 36.59 / MAX: 45.66MIN: 35.95 / MAX: 45.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9 Git918273645Min: 45.95 / Avg: 46.43 / Max: 47.3Min: 38.3 / Avg: 38.59 / Max: 39.1Min: 37.7 / Avg: 38.17 / Max: 38.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9 Git1224364860SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 352.1343.8043.80MIN: 50.27 / MAX: 53.67MIN: 43.21 / MAX: 44.65MIN: 43.39 / MAX: 43.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9 Git1020304050Min: 52.12 / Avg: 52.13 / Max: 52.14Min: 43.78 / Avg: 43.8 / Max: 43.82Min: 43.78 / Avg: 43.8 / Max: 43.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9 Git1020304050SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 342.1635.4835.47MIN: 38.96 / MAX: 43.23MIN: 34.99 / MAX: 35.72MIN: 34.79 / MAX: 35.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9 Git918273645Min: 42.14 / Avg: 42.16 / Max: 42.18Min: 35.46 / Avg: 35.48 / Max: 35.49Min: 35.44 / Avg: 35.47 / Max: 35.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 330.8626.0226.02MIN: 29.36 / MAX: 35.2MIN: 25.28 / MAX: 26.55MIN: 25.31 / MAX: 27.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9 Git714212835Min: 30.84 / Avg: 30.86 / Max: 30.9Min: 26 / Avg: 26.02 / Max: 26.03Min: 26.01 / Avg: 26.02 / Max: 26.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.9 Git2004006008001000SE +/- 0.67, N = 3SE +/- 9.24, N = 3SE +/- 2.33, N = 37976787791. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.9 Git140280420560700Min: 796 / Avg: 796.67 / Max: 798Min: 662 / Avg: 678.33 / Max: 694Min: 777 / Avg: 779.33 / Max: 7841. (CXX) g++ options: -flto -pthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9 Git816243240SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 336.8031.3431.36MIN: 36.41 / MAX: 37.2MIN: 30.87 / MAX: 31.48MIN: 30.73 / MAX: 31.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9 Git816243240Min: 36.79 / Avg: 36.8 / Max: 36.81Min: 31.33 / Avg: 31.34 / Max: 31.34Min: 31.33 / Avg: 31.36 / Max: 31.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.01, N = 3SE +/- 0.00, N = 316.3214.0013.99MIN: 16.25 / MAX: 16.42MIN: 13.24 / MAX: 14.29MIN: 13.58 / MAX: 14.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9 Git48121620Min: 16.3 / Avg: 16.32 / Max: 16.34Min: 13.99 / Avg: 13.99 / Max: 141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9 Git1326395265SE +/- 0.06, N = 3SE +/- 0.10, N = 3SE +/- 0.88, N = 357.9451.3049.78MIN: 55.09 / MAX: 61.52MIN: 48.82 / MAX: 54.66MIN: 46.19 / MAX: 53.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9 Git1122334455Min: 57.82 / Avg: 57.94 / Max: 58.04Min: 51.13 / Avg: 51.3 / Max: 51.48Min: 48.05 / Avg: 49.78 / Max: 50.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.01, N = 315.1113.0013.00MIN: 14.91 / MAX: 15.25MIN: 12.57 / MAX: 13.06MIN: 12.53 / MAX: 14.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9 Git48121620Min: 15.09 / Avg: 15.11 / Max: 15.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.7212.6912.68MIN: 14.5 / MAX: 15.08MIN: 11.98 / MAX: 13.56MIN: 12.28 / MAX: 12.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9 Git48121620Min: 14.7 / Avg: 14.72 / Max: 14.75Min: 12.67 / Avg: 12.69 / Max: 12.7Min: 12.67 / Avg: 12.68 / Max: 12.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 387.1175.2575.27MIN: 84.69 / MAX: 89MIN: 74.67 / MAX: 76.95MIN: 74.66 / MAX: 75.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 87.1 / Avg: 87.11 / Max: 87.11Min: 75.23 / Avg: 75.25 / Max: 75.27Min: 75.26 / Avg: 75.27 / Max: 75.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GLmark2

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

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160Linux 5.4Linux 5.8Linux 5.9 Git306090120150135119137

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 389.3479.4579.33MIN: 78.43 / MAX: 101.68MIN: 78.55 / MAX: 81.51MIN: 78.43 / MAX: 80.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 89.24 / Avg: 89.34 / Max: 89.39Min: 79.42 / Avg: 79.45 / Max: 79.49Min: 79.29 / Avg: 79.33 / Max: 79.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 Git4080120160200SE +/- 1.34, N = 3SE +/- 2.35, N = 4SE +/- 2.13, N = 5175.79157.30161.471. (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 Git306090120150Min: 174.35 / Avg: 175.79 / Max: 178.48Min: 154.52 / Avg: 157.3 / Max: 164.32Min: 153.74 / Avg: 161.47 / Max: 166.361. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

GLmark2

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

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.4Linux 5.8Linux 5.9 Git120240360480600543502552

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git60120180240300SE +/- 0.67, N = 3SE +/- 3.43, N = 3SE +/- 2.39, N = 15285.96270.67260.96MIN: 283.43MIN: 261.84MIN: 247.571. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git50100150200250Min: 284.63 / Avg: 285.96 / Max: 286.7Min: 263.94 / Avg: 270.67 / Max: 275.17Min: 248.58 / Avg: 260.96 / Max: 272.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.00752, N = 3SE +/- 0.08955, N = 3SE +/- 0.10703, N = 39.258379.735799.82786MIN: 9.19MIN: 9.52MIN: 9.531. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 9.25 / Avg: 9.26 / Max: 9.27Min: 9.63 / Avg: 9.74 / Max: 9.91Min: 9.63 / Avg: 9.83 / Max: 101. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 314.3715.1514.72MIN: 14.12MIN: 14.79MIN: 14.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git48121620Min: 14.3 / Avg: 14.37 / Max: 14.41Min: 15.1 / Avg: 15.14 / Max: 15.2Min: 14.62 / Avg: 14.72 / Max: 14.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9 Git50100150200250SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.22, N = 3214.21206.48205.15MIN: 212.41 / MAX: 218.75MIN: 204.27 / MAX: 209.41MIN: 203.28 / MAX: 208.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9 Git4080120160200Min: 214.11 / Avg: 214.21 / Max: 214.36Min: 206.35 / Avg: 206.48 / Max: 206.63Min: 204.82 / Avg: 205.15 / Max: 205.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.9 Git1632486480SE +/- 0.60, N = 3SE +/- 0.91, N = 3SE +/- 0.43, N = 371.1068.1370.06
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.9 Git1428425670Min: 70.37 / Avg: 71.1 / Max: 72.29Min: 67.13 / Avg: 68.13 / Max: 69.95Min: 69.25 / Avg: 70.06 / Max: 70.71

KeyDB

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

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.4Linux 5.8Linux 5.9 Git80K160K240K320K400KSE +/- 767.36, N = 3SE +/- 387.75, N = 3SE +/- 359.00, N = 3393603.00381234.65377603.401. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.4Linux 5.8Linux 5.9 Git70K140K210K280K350KMin: 392648.16 / Avg: 393603 / Max: 395120.97Min: 380459.4 / Avg: 381234.65 / Max: 381639.66Min: 377042.03 / Avg: 377603.4 / Max: 378271.761. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git120240360480600SE +/- 0.15, N = 3SE +/- 0.78, N = 3SE +/- 3.18, N = 3569.40548.04558.86MIN: 568.18MIN: 545.86MIN: 552.131. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git100200300400500Min: 569.18 / Avg: 569.4 / Max: 569.69Min: 546.59 / Avg: 548.04 / Max: 549.26Min: 552.76 / Avg: 558.86 / Max: 563.461. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Crafty

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

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeLinux 5.4Linux 5.8Linux 5.9 Git1.6M3.2M4.8M6.4M8MSE +/- 35007.79, N = 3SE +/- 23889.21, N = 3SE +/- 21668.21, N = 37547320746929873022561. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed TimeLinux 5.4Linux 5.8Linux 5.9 Git1.3M2.6M3.9M5.2M6.5MMin: 7505088 / Avg: 7547320 / Max: 7616799Min: 7428608 / Avg: 7469298 / Max: 7511330Min: 7267436 / Avg: 7302256 / Max: 73420091. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git0.87791.75582.63373.51164.3895SE +/- 0.00729, N = 3SE +/- 0.00186, N = 3SE +/- 0.00590, N = 33.779963.901773.84716MIN: 3.67MIN: 3.79MIN: 3.731. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810Min: 3.77 / Avg: 3.78 / Max: 3.79Min: 3.9 / Avg: 3.9 / Max: 3.91Min: 3.84 / Avg: 3.85 / Max: 3.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git306090120150SE +/- 0.29, N = 3SE +/- 1.51, N = 3SE +/- 0.10, N = 3111.12114.24110.72MIN: 109.55MIN: 110.66MIN: 109.511. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 110.82 / Avg: 111.12 / Max: 111.7Min: 111.98 / Avg: 114.24 / Max: 117.12Min: 110.58 / Avg: 110.72 / Max: 110.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.00538, N = 3SE +/- 0.03078, N = 3SE +/- 0.03775, N = 38.172338.377068.40703MIN: 7.82MIN: 8MIN: 7.971. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 8.16 / Avg: 8.17 / Max: 8.18Min: 8.32 / Avg: 8.38 / Max: 8.43Min: 8.35 / Avg: 8.41 / Max: 8.481. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPULinux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 0.05, N = 3SE +/- 0.51, N = 3SE +/- 0.53, N = 378.5180.6180.05
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPULinux 5.4Linux 5.8Linux 5.9 Git1530456075Min: 78.42 / Avg: 78.51 / Max: 78.6Min: 80.1 / Avg: 80.61 / Max: 81.62Min: 79.5 / Avg: 80.05 / Max: 81.11

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: EigenLinux 5.4Linux 5.8Linux 5.9 Git160320480640800SE +/- 5.46, N = 3SE +/- 10.51, N = 9SE +/- 3.28, N = 37177017191. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8Linux 5.9 Git130260390520650Min: 706 / Avg: 716.67 / Max: 724Min: 622 / Avg: 700.56 / Max: 725Min: 713 / Avg: 719.33 / Max: 7241. (CXX) g++ options: -flto -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git1.16042.32083.48124.64165.802SE +/- 0.00807, N = 3SE +/- 0.01544, N = 3SE +/- 0.00900, N = 35.157485.049805.04492MIN: 5.07MIN: 4.96MIN: 4.961. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810Min: 5.14 / Avg: 5.16 / Max: 5.17Min: 5.02 / Avg: 5.05 / Max: 5.07Min: 5.03 / Avg: 5.04 / Max: 5.061. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.01, N = 3SE +/- 0.17, N = 3SE +/- 0.15, N = 349.8650.9750.24MIN: 49.38MIN: 50.11MIN: 49.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git1020304050Min: 49.85 / Avg: 49.86 / Max: 49.87Min: 50.67 / Avg: 50.97 / Max: 51.25Min: 49.98 / Avg: 50.24 / Max: 50.521. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 Git0.75491.50982.26473.01963.7745SE +/- 0.001, N = 3SE +/- 0.035, N = 14SE +/- 0.046, N = 133.2823.3393.355
OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 3.28 / Avg: 3.28 / Max: 3.28Min: 3.29 / Avg: 3.34 / Max: 3.79Min: 3.29 / Avg: 3.36 / Max: 3.9

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8Linux 5.9 Git0.97431.94862.92293.89724.8715SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 44.294.244.33
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 4.23 / Avg: 4.29 / Max: 4.38Min: 4.2 / Avg: 4.24 / Max: 4.28Min: 4.2 / Avg: 4.33 / Max: 4.44

Timed GDB GNU Debugger Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileLinux 5.4Linux 5.8Linux 5.9 Git4080120160200SE +/- 0.20, N = 3SE +/- 0.25, N = 3SE +/- 0.30, N = 3159.60157.32160.64
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 9.1Time To CompileLinux 5.4Linux 5.8Linux 5.9 Git306090120150Min: 159.24 / Avg: 159.6 / Max: 159.92Min: 157 / Avg: 157.32 / Max: 157.81Min: 160.06 / Avg: 160.64 / Max: 161.08

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.01, N = 310.3910.3110.19MIN: 10.15MIN: 10.1MIN: 10.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 10.24 / Avg: 10.39 / Max: 10.48Min: 10.16 / Avg: 10.31 / Max: 10.53Min: 10.16 / Avg: 10.19 / Max: 10.21. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.28, N = 322.5622.1222.41MIN: 22.06 / MAX: 39.49MIN: 22.04 / MAX: 22.28MIN: 22.05 / MAX: 59.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 22.11 / Avg: 22.56 / Max: 22.82Min: 22.1 / Avg: 22.12 / Max: 22.14Min: 22.11 / Avg: 22.41 / Max: 22.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 Git816243240SE +/- 0.22, N = 16SE +/- 0.20, N = 4SE +/- 0.13, N = 433.9334.2634.591. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.4Linux 5.8Linux 5.9 Git714212835Min: 30.61 / Avg: 33.93 / Max: 34.24Min: 33.68 / Avg: 34.26 / Max: 34.57Min: 34.37 / Avg: 34.59 / Max: 34.961. (CC) gcc options: -O2 -std=c99

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.4Linux 5.8Linux 5.9 Git2004006008001000SE +/- 0.67, N = 3114111611161
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.4Linux 5.8Linux 5.9 Git2004006008001000Min: 1140 / Avg: 1141.33 / Max: 1142

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 Git20406080100SE +/- 0.05, N = 3SE +/- 0.08, N = 3SE +/- 0.18, N = 389.5690.7091.031. (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 Git20406080100Min: 89.46 / Avg: 89.56 / Max: 89.61Min: 90.54 / Avg: 90.7 / Max: 90.83Min: 90.68 / Avg: 91.03 / Max: 91.31. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

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 Git20406080100SE +/- 0.48, N = 3SE +/- 0.25, N = 3SE +/- 0.42, N = 373.4674.0674.65
OpenBenchmarking.orgSeconds, Fewer Is BetterHuginPanorama Photo Assistant + Stitching TimeLinux 5.4Linux 5.8Linux 5.9 Git1428425670Min: 72.8 / Avg: 73.46 / Max: 74.41Min: 73.64 / Avg: 74.06 / Max: 74.51Min: 73.88 / Avg: 74.65 / Max: 75.33

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 LeukocyteLinux 5.4Linux 5.8Linux 5.9 Git60120180240300SE +/- 0.36, N = 3SE +/- 0.33, N = 3SE +/- 1.15, N = 3254.68256.92258.771. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteLinux 5.4Linux 5.8Linux 5.9 Git50100150200250Min: 254.02 / Avg: 254.68 / Max: 255.27Min: 256.26 / Avg: 256.92 / Max: 257.3Min: 257.5 / Avg: 258.77 / Max: 261.071. (CXX) g++ options: -O2 -lOpenCL

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.4Linux 5.8Linux 5.9 Git1326395265SE +/- 0.16, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 356.1656.9357.04MIN: 55.4 / MAX: 107.43MIN: 56.62 / MAX: 80.52MIN: 56.76 / MAX: 79.831. (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 Git1122334455Min: 55.94 / Avg: 56.16 / Max: 56.48Min: 56.77 / Avg: 56.93 / Max: 57.19Min: 56.92 / Avg: 57.04 / Max: 57.161. (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

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.013, N = 3SE +/- 0.022, N = 3SE +/- 0.007, N = 38.1998.2578.3161. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 8.18 / Avg: 8.2 / Max: 8.23Min: 8.23 / Avg: 8.26 / Max: 8.3Min: 8.31 / Avg: 8.32 / Max: 8.331. (CXX) g++ options: -O3 -fPIC

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9 Git0.48830.97661.46491.95322.4415SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.172.142.15MIN: 2.13 / MAX: 2.29MIN: 2.13 / MAX: 2.24MIN: 2.13 / MAX: 2.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 2.14 / Avg: 2.17 / Max: 2.21Min: 2.14 / Avg: 2.14 / Max: 2.15Min: 2.14 / Avg: 2.15 / Max: 2.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2Linux 5.4Linux 5.8Linux 5.9 Git130260390520650590.05598.28592.27

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 Git3691215SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.06, N = 310.2610.3710.40MIN: 10.11 / MAX: 16.05MIN: 10.27 / MAX: 31.91MIN: 10.23 / MAX: 33.261. (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 Git3691215Min: 10.15 / Avg: 10.26 / Max: 10.31Min: 10.33 / Avg: 10.37 / Max: 10.43Min: 10.27 / Avg: 10.4 / Max: 10.471. (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

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1Linux 5.4Linux 5.8Linux 5.9 Git300600900120015001212.791226.041229.33

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2Linux 5.4Linux 5.8Linux 5.9 Git102030405046.1345.5845.98

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 Git3691215SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 39.029.129.071. (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 Git3691215Min: 9.01 / Avg: 9.02 / Max: 9.02Min: 9.05 / Avg: 9.12 / Max: 9.24Min: 9.06 / Avg: 9.07 / Max: 9.081. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.4Linux 5.8Linux 5.9 Git0.62011.24021.86032.48043.1005SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.005, N = 32.7282.7422.7561. (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 Git246810Min: 2.73 / Avg: 2.73 / Max: 2.73Min: 2.74 / Avg: 2.74 / Max: 2.75Min: 2.75 / Avg: 2.76 / Max: 2.771. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.017, N = 3SE +/- 0.030, N = 3SE +/- 0.031, N = 37.6007.6397.6781. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 7.58 / Avg: 7.6 / Max: 7.63Min: 7.61 / Avg: 7.64 / Max: 7.7Min: 7.63 / Avg: 7.68 / Max: 7.741. (CXX) g++ options: -O3 -fPIC

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8Linux 5.9 Git1428425670SE +/- 0.15, N = 3SE +/- 0.20, N = 3SE +/- 0.64, N = 362.3162.9362.56MIN: 61.37 / MAX: 84.45MIN: 62.1 / MAX: 89.18MIN: 60.97 / MAX: 89.351. (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 Git1224364860Min: 62.02 / Avg: 62.31 / Max: 62.46Min: 62.71 / Avg: 62.93 / Max: 63.33Min: 61.28 / Avg: 62.56 / Max: 63.211. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 Git8M16M24M32M40MSE +/- 54862.86, N = 3SE +/- 6470.73, N = 3SE +/- 156718.13, N = 338538549.138513841.438169338.8
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4Linux 5.8Linux 5.9 Git7M14M21M28M35MMin: 38435069.4 / Avg: 38538549.07 / Max: 38621892.2Min: 38501253.6 / Avg: 38513841.37 / Max: 38522737.6Min: 37860344.2 / Avg: 38169338.83 / Max: 38369371.3

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 Git130260390520650SE +/- 0.74, N = 3SE +/- 0.45, N = 3SE +/- 4.33, N = 3598.32597.09602.791. (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 Git110220330440550Min: 596.89 / Avg: 598.32 / Max: 599.39Min: 596.42 / Avg: 597.09 / Max: 597.95Min: 595.25 / Avg: 602.79 / Max: 610.251. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.00, N = 327.8628.1227.87
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 27.75 / Avg: 27.86 / Max: 28.06Min: 27.96 / Avg: 28.12 / Max: 28.38Min: 27.87 / Avg: 27.87 / Max: 27.87

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.07, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 327.8728.1328.091. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.4Linux 5.8Linux 5.9 Git612182430Min: 27.73 / Avg: 27.87 / Max: 27.96Min: 27.94 / Avg: 28.13 / Max: 28.5Min: 28.02 / Avg: 28.09 / Max: 28.221. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 Git816243240SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 332.7332.7133.01
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileLinux 5.4Linux 5.8Linux 5.9 Git714212835Min: 32.63 / Avg: 32.73 / Max: 32.84Min: 32.62 / Avg: 32.71 / Max: 32.76Min: 32.88 / Avg: 33.01 / Max: 33.14

TSCP

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

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 1206.41, N = 5SE +/- 1191.39, N = 5SE +/- 1137.79, N = 51141277113469311314301. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceLinux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KMin: 1137971 / Avg: 1141277 / Max: 1145068Min: 1130960 / Avg: 1134693.4 / Max: 1137971Min: 1128643 / Avg: 1131430 / Max: 11332881. (CC) gcc options: -O3 -march=native

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 0.16, N = 3SE +/- 0.10, N = 3SE +/- 0.18, N = 3108.06108.40108.961. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Linux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 107.78 / Avg: 108.06 / Max: 108.32Min: 108.2 / Avg: 108.4 / Max: 108.51Min: 108.76 / Avg: 108.96 / Max: 109.321. (CXX) g++ options: -O3 -fPIC

InfluxDB

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

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 1019.70, N = 3SE +/- 2768.93, N = 3SE +/- 4935.24, N = 3990095.1984645.3982092.1
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 Git200K400K600K800K1000KMin: 988488.2 / Avg: 990095.07 / Max: 991986.1Min: 979650.1 / Avg: 984645.3 / Max: 989213.4Min: 972609.1 / Avg: 982092.07 / Max: 989205.2

XZ Compression

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

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Linux 5.4Linux 5.8Linux 5.9 Git1224364860SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.37, N = 350.7450.6251.031. (CC) gcc options: -pthread -fvisibility=hidden -O2
OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Linux 5.4Linux 5.8Linux 5.9 Git1020304050Min: 50.68 / Avg: 50.74 / Max: 50.83Min: 50.49 / Avg: 50.62 / Max: 50.84Min: 50.63 / Avg: 51.03 / Max: 51.761. (CC) gcc options: -pthread -fvisibility=hidden -O2

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 319.3619.3319.211. (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 Git510152025Min: 19.3 / Avg: 19.36 / Max: 19.4Min: 19.31 / Avg: 19.33 / Max: 19.36Min: 19.18 / Avg: 19.21 / Max: 19.231. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.05, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.666.616.62MIN: 6.56 / MAX: 20.23MIN: 6.56 / MAX: 8.52MIN: 6.57 / MAX: 8.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 6.61 / Avg: 6.66 / Max: 6.75Min: 6.6 / Avg: 6.61 / Max: 6.62Min: 6.6 / Avg: 6.62 / Max: 6.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.4Linux 5.8Linux 5.9 Git816243240SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 335.8235.5735.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.4Linux 5.8Linux 5.9 Git816243240Min: 35.66 / Avg: 35.82 / Max: 35.96Min: 35.48 / Avg: 35.57 / Max: 35.65Min: 35.58 / Avg: 35.65 / Max: 35.741. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Tesseract OCR

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 327.4527.6427.57
OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 ImagesLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 27.41 / Avg: 27.45 / Max: 27.53Min: 27.59 / Avg: 27.64 / Max: 27.7Min: 27.54 / Avg: 27.57 / Max: 27.6

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 Git120240360480600SE +/- 2.84, N = 3SE +/- 1.01, N = 3SE +/- 0.14, N = 3570.41568.09566.531. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDLinux 5.4Linux 5.8Linux 5.9 Git100200300400500Min: 567.47 / Avg: 570.41 / Max: 576.1Min: 566.78 / Avg: 568.09 / Max: 570.08Min: 566.27 / Avg: 566.53 / Max: 566.741. (CXX) g++ options: -O2 -lOpenCL

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.009, N = 3SE +/- 0.014, N = 3SE +/- 0.003, N = 37.7487.7887.800MIN: 7.67 / MAX: 22.21MIN: 7.73 / MAX: 12.65MIN: 7.74 / MAX: 27.871. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl
OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 7.73 / Avg: 7.75 / Max: 7.76Min: 7.77 / Avg: 7.79 / Max: 7.82Min: 7.79 / Avg: 7.8 / Max: 7.811. (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: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.5110.4410.45MIN: 10.41 / MAX: 11MIN: 10.4 / MAX: 10.76MIN: 10.4 / MAX: 13.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.4Linux 5.8Linux 5.9 Git3691215Min: 10.44 / Avg: 10.51 / Max: 10.63Min: 10.44 / Avg: 10.44 / Max: 10.45Min: 10.44 / Avg: 10.45 / Max: 10.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

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

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Linux 5.4Linux 5.8Linux 5.9 Git1.26862.53723.80585.07446.343SE +/- 0.019, N = 3SE +/- 0.018, N = 3SE +/- 0.037, N = 35.6015.6385.605MIN: 5.47 / MAX: 9.61MIN: 5.53 / MAX: 13.75MIN: 5.45 / MAX: 10.271. (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 Git246810Min: 5.56 / Avg: 5.6 / Max: 5.63Min: 5.62 / Avg: 5.64 / Max: 5.67Min: 5.54 / Avg: 5.61 / Max: 5.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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 Git4080120160200SE +/- 0.78, N = 3SE +/- 0.59, N = 3SE +/- 0.79, N = 3199.64199.79200.95
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileLinux 5.4Linux 5.8Linux 5.9 Git4080120160200Min: 198.25 / Avg: 199.64 / Max: 200.94Min: 199.17 / Avg: 199.79 / Max: 200.96Min: 200.02 / Avg: 200.95 / Max: 202.51

TNN

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

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.4Linux 5.8Linux 5.9 Git80160240320400SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.40, N = 3344.44346.50346.14MIN: 343.7 / MAX: 346.67MIN: 345.83 / MAX: 347.67MIN: 344.07 / MAX: 348.211. (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 Git60120180240300Min: 344.31 / Avg: 344.44 / Max: 344.6Min: 346.45 / Avg: 346.5 / Max: 346.59Min: 345.34 / Avg: 346.14 / Max: 346.61. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -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: vgg16Linux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 389.3588.9588.82MIN: 89.05 / MAX: 94.32MIN: 88.67 / MAX: 137.54MIN: 88.53 / MAX: 101.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 89.24 / Avg: 89.35 / Max: 89.46Min: 88.81 / Avg: 88.95 / Max: 89.19Min: 88.69 / Avg: 88.82 / Max: 88.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 CFD SolverLinux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 347.3947.6747.631. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverLinux 5.4Linux 5.8Linux 5.9 Git1020304050Min: 47.34 / Avg: 47.39 / Max: 47.5Min: 47.56 / Avg: 47.67 / Max: 47.73Min: 47.62 / Avg: 47.63 / Max: 47.651. (CXX) g++ options: -O2 -lOpenCL

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionLinux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 347.4747.2647.191. (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 Git1020304050Min: 47.2 / Avg: 47.47 / Max: 47.69Min: 47.18 / Avg: 47.26 / Max: 47.31Min: 47.03 / Avg: 47.19 / Max: 47.351. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 HotSpot3DLinux 5.4Linux 5.8Linux 5.9 Git306090120150SE +/- 0.05, N = 3SE +/- 0.30, N = 3SE +/- 0.30, N = 3118.30118.46118.981. (CXX) g++ options: -O2 -lOpenCL
OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DLinux 5.4Linux 5.8Linux 5.9 Git20406080100Min: 118.25 / Avg: 118.3 / Max: 118.4Min: 117.99 / Avg: 118.46 / Max: 119.03Min: 118.39 / Avg: 118.98 / Max: 119.331. (CXX) g++ options: -O2 -lOpenCL

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 332.1032.2232.28MIN: 31.41 / MAX: 32.79MIN: 31.25 / MAX: 33.33MIN: 31.58 / MAX: 33.491. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 4K - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9 Git714212835Min: 32.05 / Avg: 32.1 / Max: 32.14Min: 32.17 / Avg: 32.22 / Max: 32.24Min: 32.24 / Avg: 32.28 / Max: 32.341. mpv 0.32.0

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9 Git70K140K210K280K350KSE +/- 211.61, N = 3SE +/- 96.33, N = 3SE +/- 315.26, N = 33288883304353306641. (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 Git60K120K180K240K300KMin: 328519 / Avg: 328887.67 / Max: 329252Min: 330242 / Avg: 330434.67 / Max: 330531Min: 330229 / Avg: 330664.33 / Max: 3312771. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 4 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git0.4230.8461.2691.6922.115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.881.871.881. (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 Git246810Min: 1.88 / Avg: 1.88 / Max: 1.89Min: 1.87 / Avg: 1.87 / Max: 1.88Min: 1.87 / Avg: 1.88 / Max: 1.881. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 Git510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 321.4321.4821.54
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 21.37 / Avg: 21.43 / Max: 21.46Min: 21.41 / Avg: 21.48 / Max: 21.51Min: 21.49 / Avg: 21.54 / Max: 21.56

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 Git0.39380.78761.18141.57521.969SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 31.7411.7501.7491. (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 Git246810Min: 1.74 / Avg: 1.74 / Max: 1.74Min: 1.75 / Avg: 1.75 / Max: 1.75Min: 1.75 / Avg: 1.75 / Max: 1.751. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v2Linux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 37.797.827.78MIN: 7.67 / MAX: 9.99MIN: 7.68 / MAX: 20.52MIN: 7.67 / MAX: 9.941. (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 Git3691215Min: 7.72 / Avg: 7.79 / Max: 7.89Min: 7.78 / Avg: 7.82 / Max: 7.87Min: 7.76 / Avg: 7.78 / Max: 7.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.00597, N = 3SE +/- 0.01858, N = 3SE +/- 0.01959, N = 37.165757.198677.20203MIN: 7.05MIN: 7.05MIN: 7.071. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 7.16 / Avg: 7.17 / Max: 7.18Min: 7.17 / Avg: 7.2 / Max: 7.23Min: 7.16 / Avg: 7.2 / Max: 7.231. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Linux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 320.520.420.41. (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 Git510152025Min: 20.4 / Avg: 20.47 / Max: 20.5Min: 20.4 / Avg: 20.4 / Max: 20.4Min: 20.3 / Avg: 20.43 / Max: 20.51. (CC) gcc options: -O3 -pthread -lz -llzma

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9 Git612182430SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 324.8824.7624.84MIN: 24.67 / MAX: 25.89MIN: 24.65 / MAX: 36.01MIN: 24.64 / MAX: 36.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 24.73 / Avg: 24.88 / Max: 24.96Min: 24.72 / Avg: 24.76 / Max: 24.83Min: 24.74 / Avg: 24.84 / Max: 24.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Incompact3D

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

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.4Linux 5.8Linux 5.9 Git160320480640800SE +/- 1.52, N = 3SE +/- 0.11, N = 3SE +/- 0.28, N = 3750.92754.29754.271. (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 Git130260390520650Min: 748.99 / Avg: 750.92 / Max: 753.93Min: 754.08 / Avg: 754.29 / Max: 754.42Min: 753.82 / Avg: 754.27 / Max: 754.781. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionLinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.009, N = 3SE +/- 0.009, N = 3SE +/- 0.015, N = 38.1488.1848.1611. (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 Git3691215Min: 8.14 / Avg: 8.15 / Max: 8.17Min: 8.17 / Avg: 8.18 / Max: 8.2Min: 8.13 / Avg: 8.16 / Max: 8.181. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 Git0.62061.24121.86182.48243.103SE +/- 0.004, N = 3SE +/- 0.005, N = 3SE +/- 0.007, N = 32.7462.7582.7581. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 2.74 / Avg: 2.75 / Max: 2.76Min: 2.75 / Avg: 2.76 / Max: 2.77Min: 2.75 / Avg: 2.76 / Max: 2.771. (CXX) g++ options: -O3 -pthread -lm

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.8Linux 5.9 Git4080120160200SE +/- 0.69, N = 3SE +/- 0.73, N = 3SE +/- 0.02, N = 3182.46182.79183.231. (CXX) g++ options: -O3 -fPIC
OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.8Linux 5.9 Git306090120150Min: 181.1 / Avg: 182.46 / Max: 183.36Min: 181.4 / Avg: 182.79 / Max: 183.9Min: 183.19 / Avg: 183.22 / Max: 183.261. (CXX) g++ options: -O3 -fPIC

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 318.7518.8318.79MIN: 18.38MIN: 18.6MIN: 18.351. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 18.69 / Avg: 18.75 / Max: 18.87Min: 18.76 / Avg: 18.83 / Max: 18.95Min: 18.73 / Avg: 18.79 / Max: 18.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 Git714212835SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 327.6627.6527.551. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm
OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 27.65 / Avg: 27.66 / Max: 27.68Min: 27.55 / Avg: 27.65 / Max: 27.72Min: 27.49 / Avg: 27.55 / Max: 27.591. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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 Git0.11340.22680.34020.45360.567SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 30.5040.5040.5021. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 0.5 / Avg: 0.5 / Max: 0.51Min: 0.5 / Avg: 0.5 / Max: 0.51Min: 0.5 / Avg: 0.5 / Max: 0.511. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

FFTE

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

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.4Linux 5.8Linux 5.9 Git4K8K12K16K20KSE +/- 95.32, N = 3SE +/- 59.99, N = 3SE +/- 64.79, N = 320328.5020258.6020335.311. (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 Git4K8K12K16K20KMin: 20196.6 / Avg: 20328.5 / Max: 20513.66Min: 20176.64 / Avg: 20258.6 / Max: 20375.47Min: 20212.18 / Avg: 20335.31 / Max: 20431.831. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 328.9428.8528.84MIN: 28.7 / MAX: 32.85MIN: 28.7 / MAX: 41.24MIN: 28.67 / MAX: 41.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.4Linux 5.8Linux 5.9 Git612182430Min: 28.8 / Avg: 28.94 / Max: 29.08Min: 28.79 / Avg: 28.85 / Max: 28.93Min: 28.75 / Avg: 28.84 / Max: 28.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AOM AV1

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

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git0.6751.352.0252.73.375SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.002.992.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread
OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 3 / Avg: 3 / Max: 3.01Min: 2.99 / Avg: 2.99 / Max: 3Min: 2.98 / Avg: 2.99 / Max: 31. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -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 Git70140210280350SE +/- 0.67, N = 3SE +/- 0.58, N = 33053043041. (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 Git50100150200250Min: 304 / Avg: 304.67 / Max: 306Min: 303 / Avg: 304 / Max: 3051. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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 Git0.87461.74922.62383.49844.373SE +/- 0.00123, N = 3SE +/- 0.00476, N = 3SE +/- 0.00417, N = 33.874333.886243.88703
OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.8Linux 5.9 Git246810Min: 3.87 / Avg: 3.87 / Max: 3.88Min: 3.88 / Avg: 3.89 / Max: 3.9Min: 3.88 / Avg: 3.89 / Max: 3.89

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.4Linux 5.8Linux 5.9 Git40K80K120K160K200KSE +/- 195.74, N = 3SE +/- 11.41, N = 3SE +/- 205.69, N = 31646451651391651811. (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 Git30K60K90K120K150KMin: 164273 / Avg: 164644.67 / Max: 164937Min: 165118 / Avg: 165139.33 / Max: 165157Min: 164794 / Avg: 165181.33 / Max: 1654951. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

MPV

MPV is an open-source, cross-platform media player. This test profile tests the frame-rate that can be achieved unsynchronized in a desynchronized mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9 Git306090120150SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3139.45139.88139.75MIN: 115.16 / MAX: 146.34MIN: 123.1 / MAX: 146.35MIN: 119 / MAX: 146.351. mpv 0.32.0
OpenBenchmarking.orgFPS, More Is BetterMPVVideo Input: Big Buck Bunny Sunflower 1080p - Decode: Software OnlyLinux 5.4Linux 5.8Linux 5.9 Git306090120150Min: 139.42 / Avg: 139.45 / Max: 139.51Min: 139.76 / Avg: 139.88 / Max: 140.02Min: 139.56 / Avg: 139.75 / Max: 139.941. mpv 0.32.0

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9 Git918273645SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 339.4839.3639.45MIN: 39.28 / MAX: 53.47MIN: 39.23 / MAX: 42.19MIN: 39.23 / MAX: 42.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.4Linux 5.8Linux 5.9 Git816243240Min: 39.38 / Avg: 39.48 / Max: 39.6Min: 39.34 / Avg: 39.36 / Max: 39.39Min: 39.32 / Avg: 39.45 / Max: 39.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

InfluxDB

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

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 1038.31, N = 3SE +/- 553.23, N = 3SE +/- 2049.30, N = 3996459.9993437.4994952.9
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 Git200K400K600K800K1000KMin: 994660 / Avg: 996459.93 / Max: 998256.8Min: 992800.8 / Avg: 993437.37 / Max: 994539.4Min: 992386.9 / Avg: 994952.93 / Max: 999003.7

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git510152025SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 319.9419.8919.88MIN: 19.8MIN: 19.73MIN: 19.731. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 19.87 / Avg: 19.94 / Max: 20.07Min: 19.8 / Avg: 19.89 / Max: 20.03Min: 19.81 / Avg: 19.88 / Max: 201. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 Git140280420560700664663665

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 Git14K28K42K56K70KSE +/- 46.52, N = 3SE +/- 13.57, N = 3SE +/- 46.28, N = 36694267067668881. (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 Git12K24K36K48K60KMin: 66874 / Avg: 66942 / Max: 67031Min: 67043 / Avg: 67066.67 / Max: 67090Min: 66836 / Avg: 66887.67 / Max: 669801. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 Git1224364860SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.20, N = 355.5455.3955.51
OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF DocumentLinux 5.4Linux 5.8Linux 5.9 Git1122334455Min: 55.36 / Avg: 55.54 / Max: 55.8Min: 55.22 / Avg: 55.39 / Max: 55.64Min: 55.27 / Avg: 55.51 / Max: 55.91

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: resnet18Linux 5.4Linux 5.8Linux 5.9 Git612182430SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 323.0923.1123.05MIN: 22.97 / MAX: 26.84MIN: 22.91 / MAX: 35.18MIN: 22.9 / MAX: 25.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.4Linux 5.8Linux 5.9 Git510152025Min: 23.06 / Avg: 23.09 / Max: 23.11Min: 23.06 / Avg: 23.11 / Max: 23.17Min: 23.04 / Avg: 23.05 / Max: 23.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 Git30060090012001500SE +/- 7.38, N = 3SE +/- 0.97, N = 3SE +/- 0.27, N = 31493.221490.331493.85
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.4Linux 5.8Linux 5.9 Git30060090012001500Min: 1484.48 / Avg: 1493.22 / Max: 1507.88Min: 1488.9 / Avg: 1490.33 / Max: 1492.18Min: 1493.38 / Avg: 1493.85 / Max: 1494.31

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: googlenetLinux 5.4Linux 5.8Linux 5.9 Git612182430SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 323.0823.0323.07MIN: 22.97 / MAX: 26.36MIN: 22.94 / MAX: 23.49MIN: 22.94 / MAX: 35.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.4Linux 5.8Linux 5.9 Git510152025Min: 23.03 / Avg: 23.08 / Max: 23.16Min: 23.02 / Avg: 23.03 / Max: 23.03Min: 23.03 / Avg: 23.07 / Max: 23.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9 Git1.05082.10163.15244.20325.254SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 34.674.664.66MIN: 4.59 / MAX: 8.01MIN: 4.61 / MAX: 6.54MIN: 4.59 / MAX: 6.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9 Git246810Min: 4.62 / Avg: 4.67 / Max: 4.71Min: 4.63 / Avg: 4.66 / Max: 4.68Min: 4.62 / Avg: 4.66 / Max: 4.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Blender

Blender is an open-source 3D creation software project. This test is of Blender's Cycles benchmark with various sample files. GPU computing via OpenCL or CUDA is supported. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyLinux 5.4Linux 5.8Linux 5.9 Git80160240320400SE +/- 0.56, N = 3SE +/- 1.11, N = 3SE +/- 0.53, N = 3382.67382.25381.93
OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: BMW27 - Compute: CPU-OnlyLinux 5.4Linux 5.8Linux 5.9 Git70140210280350Min: 381.62 / Avg: 382.67 / Max: 383.51Min: 380.82 / Avg: 382.25 / Max: 384.43Min: 380.87 / Avg: 381.93 / Max: 382.47

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 Git3691215SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 312.2712.2912.291. (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 Git48121620Min: 12.15 / Avg: 12.27 / Max: 12.33Min: 12.2 / Avg: 12.29 / Max: 12.47Min: 12.06 / Avg: 12.29 / Max: 12.551. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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 Git306090120150SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3125.43125.50125.661. (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 Git20406080100Min: 125.41 / Avg: 125.43 / Max: 125.45Min: 125.37 / Avg: 125.5 / Max: 125.58Min: 125.59 / Avg: 125.66 / Max: 125.791. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.02123, N = 3SE +/- 0.01758, N = 3SE +/- 0.00534, N = 37.419237.422747.40944MIN: 7.35MIN: 7.35MIN: 7.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPULinux 5.4Linux 5.8Linux 5.9 Git3691215Min: 7.39 / Avg: 7.42 / Max: 7.46Min: 7.39 / Avg: 7.42 / Max: 7.45Min: 7.4 / Avg: 7.41 / Max: 7.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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 Git4M8M12M16M20MSE +/- 15901.03, N = 3SE +/- 59668.65, N = 3SE +/- 85458.77, N = 31783573017866357178482171. (CXX) g++ options: -O3 -fopenmp
OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.4Linux 5.8Linux 5.9 Git3M6M9M12M15MMin: 1781175