Skylake Core i5 7600K

Intel Core i5-7600K testing with a Gigabyte Z270M-D3H-CF (F8d BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009288-FI-SKYLAKECO89.

Skylake Core i5 7600KProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionLinux 5.4Linux 5.8Linux 5.9-rc7Intel Core i5-7600K @ 4.20GHz (4 Cores)Gigabyte Z270M-D3H-CF (F8d BIOS)Intel Xeon E3-1200 v6/7th + Z2708GB250GB Samsung SSD 850Gigabyte Intel HD 630 3GB (1150MHz)Realtek ALC892DELL S2409WIntel I219-VUbuntu 20.045.4.0-40-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8GCC 9.3.0ext41920x10805.8.0-050800-generic (x86_64)5.9.0-050900rc7daily20200928-generic (x86_64) 20200927OpenBenchmarking.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: 0xd6Python Details- Python 2.7.18rc1 + 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 disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled - Linux 5.8: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled - Linux 5.9-rc7: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT disabled

Skylake Core i5 7600Kglmark2: 1920 x 1080lczero: BLASlczero: Eigenlczero: Randnamd: ATPase Simulation - 327,506 Atomsdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchincompact3d: Cylindermafft: Multiple Sequence Alignment - LSU RNAmocassin: Dust 2D tau100.0lammps: Rhodopsin Proteinwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp: Quality 100, Lossless, Highest Compressionbyte: Dhrystone 2compress-zstd: 3compress-zstd: 19libraw: Post-Processing Benchmarkaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimeavifenc: 0avifenc: 2avifenc: 8avifenc: 10dcraw: RAW To PPM Image Conversionespeak: Text-To-Speech Synthesissystem-decompress-gzip: mpv: Big Buck Bunny Sunflower 4K - Software Onlympv: Big Buck Bunny Sunflower 1080p - Software Onlycouchdb: 100 - 1000 - 24gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivecaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200mnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1hint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionopencv: DNN - Deep Neural Networkinfluxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000Linux 5.4Linux 5.8Linux 5.9-rc72705965412594274.2389619.76714352.075945619111.421717.25516714.2452832.9511.6042.52318.5957.51746.79641790341.91664.511.126.450.231.9514.833.0836.10187.107111.1507.9027.27539.37529.4703.06668.82156.42185.7270.403448522646670032476330481731197758507239.2112.8284.22666.433719574304830371660367.53438.3505.2356.19944.09131.7737.379.868.114.327.4313.211.6030.35152.7034.8531.5963.1956.47316.068319.250421925608.1602254.52117.8625.975.233968937657.3992597.8153897.62665785422579604.2321919.80614892.803419999111.028719.62888613.8352832.9661.6112.53018.7927.56546.86140961847.71692.011.126.420.231.9514.853.0836.04187.175111.2107.9257.30439.55629.8513.08569.19157.97171.4180.401448581646795732489730477531196158525009.2612.8384.29667.323715274190830561658867.53338.3975.2756.23744.48132.0037.229.888.124.377.4113.221.5830.42153.2835.0631.863.5756.53319.322320.761420455645.0704356.94124.2625.925.263893909518.4973031.2192585.42655955472580124.2258819.85514887.318456502111.474718.98557513.8652842.9621.6112.53318.7787.55446.69441384796.71683.411.126.390.231.9514.823.0935.84187.344110.7517.9347.30839.55829.7503.07769.33157.30171.4300.396448651646727732474330473431195558501479.2412.8484.19666.603717174318827551656447.49238.2225.2356.13544.07131.4637.049.858.054.337.4113.081.6030.17153.6634.8631.8063.3856.12315.220320.908418292154.5304657.58124.413945909568.5972993.4171706.7OpenBenchmarking.org

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.4Linux 5.8Linux 5.9-rc760120180240300270266265

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.4Linux 5.8Linux 5.9-rc7130260390520650SE +/- 4.33, N = 3SE +/- 6.67, N = 3SE +/- 5.04, N = 35965785951. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.4Linux 5.8Linux 5.9-rc7120240360480600SE +/- 0.88, N = 35415425471. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.4Linux 5.8Linux 5.9-rc760K120K180K240K300KSE +/- 361.02, N = 3SE +/- 412.05, N = 3SE +/- 167.29, N = 32594272579602580121. (CXX) g++ options: -flto -pthread

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4Linux 5.8Linux 5.9-rc70.95381.90762.86143.81524.769SE +/- 0.00404, N = 3SE +/- 0.00879, N = 3SE +/- 0.00201, N = 34.238964.232194.22588

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.4Linux 5.8Linux 5.9-rc7510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 319.7719.8119.86

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-rc73K6K9K12K15KSE +/- 36.05, N = 3SE +/- 86.19, N = 3SE +/- 52.01, N = 314352.0814892.8014887.321. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4Linux 5.8Linux 5.9-rc720406080100SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3111.42111.03111.471. (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-rc7160320480640800SE +/- 0.81, N = 3SE +/- 0.60, N = 3SE +/- 0.86, N = 3717.26719.63718.991. (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-rc748121620SE +/- 0.18, N = 3SE +/- 0.08, N = 3SE +/- 0.05, N = 314.2513.8413.871. (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-rc7601201802403002832832841. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

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-rc70.66741.33482.00222.66963.337SE +/- 0.014, N = 3SE +/- 0.007, N = 3SE +/- 0.010, N = 32.9512.9662.9621. (CXX) g++ options: -O3 -pthread -lm

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-rc70.36250.7251.08751.451.8125SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.6041.6111.6111. (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-rc70.56991.13981.70972.27962.8495SE +/- 0.005, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 32.5232.5302.5331. (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-rc7510152025SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 318.6018.7918.781. (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-rc7246810SE +/- 0.003, N = 3SE +/- 0.007, N = 3SE +/- 0.008, N = 37.5177.5657.5541. (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-rc71122334455SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 346.8046.8646.691. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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-rc79M18M27M36M45MSE +/- 56303.52, N = 3SE +/- 398527.19, N = 3SE +/- 41035.50, N = 341790341.940961847.741384796.7

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Linux 5.4Linux 5.8Linux 5.9-rc7400800120016002000SE +/- 11.49, N = 3SE +/- 3.43, N = 3SE +/- 9.78, N = 31664.51692.01683.41. (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-rc73691215SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 311.111.111.11. (CC) gcc options: -O3 -pthread -lz -llzma

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4Linux 5.8Linux 5.9-rc7612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 326.4526.4226.391. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

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-rc70.05180.10360.15540.20720.259SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.230.230.231. (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-rc70.43880.87761.31641.75522.194SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.951.951.951. (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-rc748121620SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 314.8314.8514.821. (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-rc70.69531.39062.08592.78123.4765SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.083.083.091. (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-rc7816243240SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 336.1036.0435.841. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Linux 5.4Linux 5.8Linux 5.9-rc74080120160200SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.49, N = 3187.11187.18187.341. (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-rc720406080100SE +/- 0.31, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3111.15111.21110.751. (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-rc7246810SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 37.9027.9257.9341. (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-rc7246810SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.002, N = 37.2757.3047.3081. (CXX) g++ options: -O3 -fPIC

dcraw

RAW To PPM Image Conversion

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionLinux 5.4Linux 5.8Linux 5.9-rc7918273645SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 339.3839.5639.561. (CC) gcc options: -lm

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-rc7714212835SE +/- 0.33, N = 4SE +/- 0.06, N = 4SE +/- 0.08, N = 429.4729.8529.751. (CC) gcc options: -O2 -std=c99

System GZIP Decompression

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4Linux 5.8Linux 5.9-rc70.69411.38822.08232.77643.4705SE +/- 0.033, N = 14SE +/- 0.039, N = 14SE +/- 0.032, N = 143.0663.0853.077

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-rc71530456075SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 368.8269.1969.33MIN: 65.22 / MAX: 70.59MIN: 65.93 / MAX: 70.59MIN: 65.93 / MAX: 70.591. 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-rc7306090120150SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.30, N = 3156.42157.97157.30MIN: 141.18 / MAX: 162.16MIN: 146.34 / MAX: 164.39MIN: 142.86 / MAX: 164.391. mpv 0.32.0

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-rc74080120160200SE +/- 1.34, N = 3SE +/- 0.68, N = 3SE +/- 1.07, N = 3185.73171.42171.431. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4Linux 5.8Linux 5.9-rc70.09070.18140.27210.36280.4535SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.004, N = 30.4030.4010.3961. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetLinux 5.4Linux 5.8Linux 5.9-rc7100K200K300K400K500KSE +/- 40.28, N = 3SE +/- 55.84, N = 3SE +/- 41.88, N = 3448522448581448651

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Linux 5.4Linux 5.8Linux 5.9-rc71.4M2.8M4.2M5.6M7MSE +/- 274.04, N = 3SE +/- 1522.00, N = 3SE +/- 486.91, N = 3646670064679576467277

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileLinux 5.4Linux 5.8Linux 5.9-rc770K140K210K280K350KSE +/- 22.67, N = 3SE +/- 46.33, N = 3SE +/- 78.80, N = 3324763324897324743

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatLinux 5.4Linux 5.8Linux 5.9-rc770K140K210K280K350KSE +/- 56.92, N = 3SE +/- 61.10, N = 3SE +/- 33.94, N = 3304817304775304734

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantLinux 5.4Linux 5.8Linux 5.9-rc770K140K210K280K350KSE +/- 85.05, N = 3SE +/- 15.34, N = 3SE +/- 57.45, N = 3311977311961311955

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Linux 5.4Linux 5.8Linux 5.9-rc71.3M2.6M3.9M5.2M6.5MSE +/- 248.35, N = 3SE +/- 753.68, N = 3SE +/- 98.21, N = 3585072358525005850147

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastLinux 5.4Linux 5.8Linux 5.9-rc73691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.219.269.241. (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-rc73691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 312.8212.8312.841. (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-rc720406080100SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 384.2284.2984.191. (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-rc7140280420560700SE +/- 0.08, N = 3SE +/- 0.21, N = 3SE +/- 0.02, N = 3666.43667.32666.601. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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-rc78K16K24K32K40KSE +/- 18.21, N = 3SE +/- 40.76, N = 3SE +/- 69.24, N = 33719537152371711. (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-rc716K32K48K64K80KSE +/- 31.94, N = 3SE +/- 69.44, N = 3SE +/- 53.93, N = 37430474190743181. (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-rc720K40K60K80K100KSE +/- 41.37, N = 3SE +/- 28.39, N = 3SE +/- 28.50, N = 38303783056827551. (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-rc740K80K120K160K200KSE +/- 107.38, N = 3SE +/- 114.01, N = 3SE +/- 59.21, N = 31660361658861656441. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.4Linux 5.8Linux 5.9-rc7246810SE +/- 0.021, N = 3SE +/- 0.008, N = 3SE +/- 0.011, N = 37.5347.5337.492MIN: 7.45 / MAX: 17.56MIN: 7.48 / MAX: 8.98MIN: 7.43 / MAX: 8.251. (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-rc7918273645SE +/- 0.14, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 338.3538.4038.22MIN: 37.95 / MAX: 134.88MIN: 38.08 / MAX: 62.17MIN: 37.93 / MAX: 47.531. (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-rc71.18692.37383.56074.74765.9345SE +/- 0.009, N = 3SE +/- 0.014, N = 3SE +/- 0.003, N = 35.2355.2755.235MIN: 5.15 / MAX: 7.1MIN: 5.2 / MAX: 6.63MIN: 5.17 / MAX: 6.031. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

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-rc7246810SE +/- 0.012, N = 3SE +/- 0.007, N = 3SE +/- 0.002, N = 36.1996.2376.135MIN: 6.12 / MAX: 8.28MIN: 6.17 / MAX: 7.52MIN: 6.08 / MAX: 6.811. (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

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.4Linux 5.8Linux 5.9-rc71020304050SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.05, N = 344.0944.4844.07MIN: 43.88 / MAX: 54.42MIN: 44.22 / MAX: 54.32MIN: 43.85 / MAX: 53.361. (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-rc7714212835SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 331.7732.0031.46MIN: 31.66 / MAX: 34.11MIN: 31.82 / MAX: 41.36MIN: 31.36 / MAX: 32.821. (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-rc7918273645SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 337.3737.2237.04MIN: 37.05 / MAX: 39.02MIN: 37 / MAX: 46.76MIN: 36.71 / MAX: 39.381. (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-rc73691215SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 39.869.889.85MIN: 9.71 / MAX: 11.93MIN: 9.75 / MAX: 19.03MIN: 9.63 / MAX: 11.521. (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-rc7246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 38.118.128.05MIN: 7.99 / MAX: 15.98MIN: 8.03 / MAX: 9.35MIN: 7.91 / MAX: 11.271. (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-rc70.98331.96662.94993.93324.9165SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.324.374.33MIN: 4.26 / MAX: 4.45MIN: 4.34 / MAX: 6.65MIN: 4.28 / MAX: 4.421. (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-rc7246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.437.417.41MIN: 7.35 / MAX: 7.59MIN: 7.36 / MAX: 7.51MIN: 7.32 / MAX: 8.091. (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-rc73691215SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 313.2113.2213.08MIN: 13.11 / MAX: 13.39MIN: 13.15 / MAX: 15.22MIN: 12.97 / MAX: 13.241. (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-rc70.360.721.081.441.8SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.601.581.60MIN: 1.57 / MAX: 1.65MIN: 1.57 / MAX: 1.62MIN: 1.58 / MAX: 3.341. (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-rc7714212835SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 330.3530.4230.17MIN: 30.17 / MAX: 40.16MIN: 30.26 / MAX: 33.11MIN: 30.04 / MAX: 32.531. (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-rc7306090120150SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.10, N = 3152.70153.28153.66MIN: 152.38 / MAX: 163.34MIN: 152.89 / MAX: 162.54MIN: 153.06 / MAX: 186.711. (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-rc7816243240SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 334.8535.0634.86MIN: 34.61 / MAX: 37.03MIN: 34.89 / MAX: 44.42MIN: 34.65 / MAX: 47.291. (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-rc7714212835SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 331.5931.8031.80MIN: 31.43 / MAX: 34.01MIN: 31.7 / MAX: 34.06MIN: 31.66 / MAX: 33.961. (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-rc71428425670SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 363.1963.5763.38MIN: 62.91 / MAX: 73.05MIN: 63.24 / MAX: 96.77MIN: 63.17 / MAX: 64.671. (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-rc71326395265SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 356.4756.5356.12MIN: 56.12 / MAX: 66.01MIN: 56.31 / MAX: 58.43MIN: 55.84 / MAX: 57.91. (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-rc770140210280350SE +/- 0.38, N = 3SE +/- 1.33, N = 3SE +/- 0.05, N = 3316.07319.32315.22MIN: 314.64 / MAX: 322.12MIN: 316.22 / MAX: 322.75MIN: 314.26 / MAX: 316.661. (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-rc770140210280350SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 3319.25320.76320.91MIN: 318.44 / MAX: 320.42MIN: 319.87 / MAX: 321.67MIN: 320.09 / MAX: 321.781. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.4Linux 5.8Linux 5.9-rc790M180M270M360M450MSE +/- 520383.70, N = 3SE +/- 384378.24, N = 3SE +/- 735201.39, N = 3421925608.16420455645.07418292154.531. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4Linux 5.8Linux 5.9-rc71326395265SE +/- 0.11, N = 3SE +/- 0.58, N = 8SE +/- 0.39, N = 354.5256.9457.58

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4Linux 5.8Linux 5.9-rc7306090120150SE +/- 1.03, N = 3SE +/- 2.32, N = 12SE +/- 5.00, N = 5117.86124.26124.41

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.4Linux 5.8612182430SE +/- 0.10, N = 3SE +/- 0.03, N = 325.9725.92

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4Linux 5.81.18352.3673.55054.7345.9175SE +/- 0.05, N = 9SE +/- 0.09, N = 35.235.26

OpenCV

Test: DNN - Deep Neural Network

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkLinux 5.4Linux 5.8Linux 5.9-rc79001800270036004500SE +/- 59.81, N = 15SE +/- 52.19, N = 5SE +/- 98.17, N = 153968389339451. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

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-rc7200K400K600K800K1000KSE +/- 1359.16, N = 3SE +/- 3942.70, N = 3SE +/- 4044.96, N = 3937657.3909518.4909568.5

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-rc7200K400K600K800K1000KSE +/- 2666.96, N = 3SE +/- 4047.03, N = 3SE +/- 3165.42, N = 3992597.8973031.2972993.4

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-rc740K80K120K160K200KSE +/- 29201.22, N = 15SE +/- 25256.96, N = 15SE +/- 24548.58, N = 4153897.6192585.4171706.7

Phoronix Test Suite v10.8.4