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.

HTML result view exported from: https://openbenchmarking.org/result/2010041-FI-XEONE312446&gru&sro.

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

Xeon E3-1245 v5 Ubuntu Linux 5.4vkfft: mpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlyaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimebyte: Dhrystone 2compress-zstd: 3compress-zstd: 19ffte: N=256, 3D Complex FFT Routinelibraw: Post-Processing Benchmarklczero: BLASlczero: Eigencrafty: Elapsed Timetscp: AI Chess Performancegromacs: Water Benchmarklammps: Rhodopsin Proteinkeydb: hint: FLOATglmark2: 1920 x 1080glmark2: 3840 x 2160ai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scorekripke: influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000namd: ATPase Simulation - 327,506 Atomswebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressiontensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200onednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUmnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1realsr-ncnn: 4x - Norodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusterdolfyn: Computational Fluid Dynamicshmmer: Pfam Database Searchincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0avifenc: 0avifenc: 2avifenc: 8avifenc: 10build-apache: Time To Compilebuild-gdb: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Time To Compilecompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9deepspeech: CPUespeak: Text-To-Speech Synthesismontage: Mosaic of M17, K band, 1.5 deg x 1.5 degrnnoise: system-decompress-gzip: couchdb: 100 - 1000 - 24astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivehugin: Panorama Photo Assistant + Stitching Timeocrmypdf: Processing 60 Page PDF Documentgpaw: Carbon Nanotubeblender: BMW27 - CPU-Onlyblender: Fishy Cat - CPU-Onlyecp-candle: P1B2ecp-candle: P3B1ecp-candle: P3B2mlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressiontesseract-ocr: Time To OCR 7 ImagesLinux 5.4Linux 5.8Linux 5.9 Git114132.10139.450.221.8814.993.0035.8238538549.12386.020.520328.49517754427.66797717754732011412770.5042.746393603.00381569301.12653543135664733139717835730870964.9990095.1996459.93.874331.7412.72819.3618.14847.46649969472041673669473394123489996517420669421338231646453288888.17233111.1153.7799649.860919.94269.2583714.365118.752910.39477.41923569.397285.9615.157487.1657510.25556.1645.6017.74862.30824.8828.947.796.534.676.6610.512.1723.0889.3523.0922.5646.5039.4852.1346.4314.7216.3210.1115.1130.862.6342.16214.2136.8057.9487.1189.34366.297344.44417.241570.414118.303254.67547.39328.73421.425125.430750.91762312.268305182.456108.0578.1997.60032.732159.604199.6351493.22250.73578.5133133.93389.55927.8703.282175.7919.0211.1472.26578.1773.46355.538598.320382.67532.4946.1281212.787590.04771.1088.3527.864.2927.447116132.22139.880.221.8714.992.9935.5738513841.42389.320.420258.59621982127.65678701746929811346930.5042.758381234.65381270686.12418502119663733139617866357814462.2984645.3993437.43.886241.7502.74219.3338.18447.26049984572042733669143393723489766518137670671338701651393304358.37706114.2363.9017750.971219.88629.7357915.145018.828510.30747.42274548.044270.6655.049807.1986710.37356.9345.6387.78862.93124.7628.857.826.534.666.6110.442.1423.0388.9523.1122.1246.4539.3643.8038.5912.691410.061326.022.3535.48206.4831.3451.3075.2579.45366.393346.500283.500568.094118.459256.91647.67128.73021.476125.495754.29390412.291304182.788108.4038.2577.63932.712157.323199.7891490.32750.61880.6095534.25790.69728.1303.339157.3039.1211.1472.32578.3074.05655.393597.093382.25531.9145.5751226.039598.28468.1384.7628.124.2427.639116132.28139.750.221.8814.992.9935.6538169338.82389.020.420335.30933309827.55779719730225611314300.5022.758377603.40381134357.52245552137665733139817848217805704.5982092.1994952.93.887031.7492.75619.2148.16147.19049982572029073670783394343494386518793668881337741651813306648.40703110.7163.8471650.244719.88229.8278614.715018.793510.18507.40944558.863260.9645.044927.2020310.39657.0445.6057.80062.56124.8428.847.786.524.666.6210.452.1523.0788.8223.0522.4146.4639.4543.8038.1712.6813.9911.091326.022.2935.47205.1531.3649.7875.2779.33366.631346.140283.462566.532118.977258.77247.63128.70321.537125.660754.26938912.291304183.225108.9568.3167.67833.008160.636200.9481493.85051.02680.0474934.58891.03328.0883.355161.4749.0711.1572.37578.2274.65055.509602.790381.93532.1845.9761229.33592.26770.0686.1227.874.3327.567OpenBenchmarking.org

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.4Linux 5.8Linux 5.9 Git2004006008001000SE +/- 0.67, N = 3114111611161

MPV

Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only

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

MPV

Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only

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

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.4Linux 5.8Linux 5.9 Git0.04950.0990.14850.1980.2475SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.220.220.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 4 Two-Pass

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

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.4Linux 5.8Linux 5.9 Git48121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 314.9914.9914.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 6 Two-Pass

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

AOM AV1

Encoder Mode: Speed 8 Realtime

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

BYTE Unix Benchmark

Computational Test: Dhrystone 2

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

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.4Linux 5.8Linux 5.9 Git5001000150020002500SE +/- 6.19, N = 3SE +/- 1.97, N = 3SE +/- 1.34, N = 32386.02389.32389.01. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19

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

FFTE

N=256, 3D Complex FFT Routine

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

LibRaw

Post-Processing Benchmark

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

LeelaChessZero

Backend: BLAS

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

LeelaChessZero

Backend: Eigen

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

Crafty

Elapsed Time

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

TSCP

AI Chess Performance

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

GROMACS

Water Benchmark

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

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

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

KeyDB

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

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.8Linux 5.9 Git80M160M240M320M400MSE +/- 1362924.61, N = 3SE +/- 293442.33, N = 3SE +/- 715889.13, N = 3381569301.13381270686.12381134357.521. (CC) gcc options: -O3 -march=native -lm

GLmark2

Resolution: 1920 x 1080

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

GLmark2

Resolution: 3840 x 2160

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

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference ScoreLinux 5.4Linux 5.8Linux 5.9 Git140280420560700664663665

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training ScoreLinux 5.4Linux 5.8Linux 5.9 Git160320480640800733733733

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI ScoreLinux 5.4Linux 5.8Linux 5.9 Git30060090012001500139713961398

Kripke

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

InfluxDB

Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

OpenBenchmarking.orgval/sec, More Is BetterInfluxDB 1.8.2Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000Linux 5.4Linux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 11259.18, N = 12SE +/- 19326.59, N = 12SE +/- 21169.01, N = 12870964.9814462.2805704.5

InfluxDB

Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

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

InfluxDB

Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000

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

NAMD

ATPase Simulation - 327,506 Atoms

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

WebP Image Encode

Encode Settings: Default

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

WebP Image Encode

Encode Settings: Quality 100

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

WebP Image Encode

Encode Settings: Quality 100, Lossless

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

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

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

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

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

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.4Linux 5.8Linux 5.9 Git110K220K330K440K550KSE +/- 34.51, N = 3SE +/- 53.76, N = 3SE +/- 63.00, N = 3499694499845499825

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.8Linux 5.9 Git1.5M3M4.5M6M7.5MSE +/- 250.95, N = 3SE +/- 132.46, N = 3SE +/- 580.35, N = 3720416772042737202907

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.8Linux 5.9 Git80K160K240K320K400KSE +/- 60.60, N = 3SE +/- 108.52, N = 3SE +/- 77.03, N = 3366947366914367078

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.8Linux 5.9 Git70K140K210K280K350KSE +/- 59.09, N = 3SE +/- 39.28, N = 3SE +/- 48.17, N = 3339412339372339434

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.8Linux 5.9 Git70K140K210K280K350KSE +/- 72.59, N = 3SE +/- 64.01, N = 3SE +/- 102.05, N = 3348999348976349438

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.8Linux 5.9 Git1.4M2.8M4.2M5.6M7MSE +/- 634.06, N = 3SE +/- 88.19, N = 3SE +/- 862.41, N = 3651742065181376518793

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

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

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.4Linux 5.8Linux 5.9 Git30K60K90K120K150KSE +/- 12.01, N = 3SE +/- 43.43, N = 3SE +/- 97.27, N = 31338231338701337741. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

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

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

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

oneDNN

Harness: IP Batch 1D - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: IP Batch All - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

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

Mobile Neural Network

Model: SqueezeNetV1.0

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

Mobile Neural Network

Model: resnet-v2-50

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

Mobile Neural Network

Model: MobileNetV2_224

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

Mobile Neural Network

Model: mobilenet-v1-1.0

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

Mobile Neural Network

Model: inception-v3

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

NCNN

Target: CPU - Model: squeezenet

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

NCNN

Target: CPU - Model: mobilenet

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

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

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

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v3Linux 5.4Linux 5.8Linux 5.9 Git246810SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 36.536.536.52MIN: 6.41 / MAX: 9.17MIN: 6.43 / MAX: 9.7MIN: 6.42 / MAX: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

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

NCNN

Target: CPU - Model: mnasnet

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

NCNN

Target: CPU - Model: efficientnet-b0

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

NCNN

Target: CPU - Model: blazeface

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

NCNN

Target: CPU - Model: googlenet

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

NCNN

Target: CPU - Model: vgg16

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

NCNN

Target: CPU - Model: resnet18

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

NCNN

Target: CPU - Model: alexnet

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

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.4Linux 5.8Linux 5.9 Git1122334455SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 346.5046.4546.46MIN: 46.31 / MAX: 58.67MIN: 46.3 / MAX: 49.28MIN: 46.33 / MAX: 51.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

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

NCNN

Target: Vulkan GPU - Model: squeezenet

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

NCNN

Target: Vulkan GPU - Model: mobilenet

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

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

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

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

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

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v2Linux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.01, N = 3SE +/- 0.30, N = 3SE +/- 0.52, N = 310.1110.0611.09MIN: 9.97 / MAX: 10.55MIN: 9.19 / MAX: 10.9MIN: 10.03 / MAX: 13.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

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

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

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

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.4Linux 5.8Linux 5.9 Git0.59181.18361.77542.36722.959SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.03, N = 32.632.352.29MIN: 2.59 / MAX: 2.65MIN: 2.17 / MAX: 2.76MIN: 2.14 / MAX: 2.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

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

NCNN

Target: Vulkan GPU - Model: vgg16

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

NCNN

Target: Vulkan GPU - Model: resnet18

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

NCNN

Target: Vulkan GPU - Model: alexnet

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

NCNN

Target: Vulkan GPU - Model: resnet50

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

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

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

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.4Linux 5.8Linux 5.9 Git80160240320400SE +/- 0.47, N = 3SE +/- 0.08, N = 3SE +/- 0.10, N = 3366.30366.39366.63MIN: 364.37 / MAX: 374.6MIN: 365.21 / MAX: 367.87MIN: 365.56 / MAX: 368.11. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v1.1

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

RealSR-NCNN

Scale: 4x - TAA: No

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

Rodinia

Test: OpenMP LavaMD

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

Rodinia

Test: OpenMP HotSpot3D

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

Rodinia

Test: OpenMP Leukocyte

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

Rodinia

Test: OpenMP CFD Solver

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

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterLinux 5.4Linux 5.8Linux 5.9 Git714212835SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 328.7328.7328.701. (CXX) g++ options: -O2 -lOpenCL

Dolfyn

Computational Fluid Dynamics

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

Timed HMMer Search

Pfam Database Search

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

Incompact3D

Input: Cylinder

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

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

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

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

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

libavif avifenc

Encoder Speed: 0

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

libavif avifenc

Encoder Speed: 2

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

libavif avifenc

Encoder Speed: 8

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

libavif avifenc

Encoder Speed: 10

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

Timed Apache Compilation

Time To Compile

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

Timed GDB GNU Debugger Compilation

Time To Compile

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

Timed Linux Kernel Compilation

Time To Compile

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

Timed LLVM Compilation

Time To Compile

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

XZ Compression

Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9

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

DeepSpeech

Acceleration: CPU

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

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

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

Montage Astronomical Image Mosaic Engine

Mosaic of M17, K band, 1.5 deg x 1.5 deg

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

RNNoise

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

System GZIP Decompression

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

Apache CouchDB

Bulk Size: 100 - Inserts: 1000 - Rounds: 24

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

ASTC Encoder

Preset: Fast

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

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumLinux 5.4Linux 5.8Linux 5.9 Git3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 311.1411.1411.151. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughLinux 5.4Linux 5.8Linux 5.9 Git1632486480SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 372.2672.3272.371. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveLinux 5.4Linux 5.8Linux 5.9 Git120240360480600SE +/- 0.03, N = 3SE +/- 0.22, N = 3SE +/- 0.09, N = 3578.17578.30578.221. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Hugin

Panorama Photo Assistant + Stitching Time

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

OCRMyPDF

Processing 60 Page PDF Document

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

GPAW

Input: Carbon Nanotube

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

Blender

Blend File: BMW27 - Compute: CPU-Only

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

Blender

Blend File: Fishy Cat - Compute: CPU-Only

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 2.90Blend File: Fishy Cat - Compute: CPU-OnlyLinux 5.4Linux 5.8Linux 5.9 Git120240360480600SE +/- 0.85, N = 3SE +/- 0.55, N = 3SE +/- 0.81, N = 3532.49531.91532.18

ECP-CANDLE

Benchmark: P1B2

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

ECP-CANDLE

Benchmark: P3B1

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

ECP-CANDLE

Benchmark: P3B2

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

Mlpack Benchmark

Benchmark: scikit_ica

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

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.9 Git20406080100SE +/- 1.98, N = 12SE +/- 1.29, N = 3SE +/- 1.27, N = 1288.3584.7686.12

Mlpack Benchmark

Benchmark: scikit_svm

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

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

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

Tesseract OCR

Time To OCR 7 Images

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


Phoronix Test Suite v10.8.4