apple-mac

Intel Core i7-6700HQ testing with a Apple Mac-A5C67F76ED83108C (265.0.0.0.0 BIOS) and AMD Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X 2GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009295-FI-APPLEMAC549.

apple-macProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution11a1bLinux 5.8Linux 5.9 GitIntel Core i7-6700HQ @ 3.50GHz (4 Cores / 8 Threads)Apple Mac-A5C67F76ED83108C (265.0.0.0.0 BIOS)Intel Xeon E3-1200 v5/E3-150016GB251GB APPLE SSD SM0256LAMD Radeon RX 460/560D / Pro 450/455/460/555/555X/560/560X 2GB (800/1270MHz)Cirrus Logic GenericColor LCDBroadcom BCM43602 802.11ac LAN SoCUbuntu 20.045.4.0-33-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.0.4 (LLVM 9.0.1)GCC 9.3.0ext42880x18005.4.0-48-generic (x86_64)5.8.12-050812-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- 1: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6- 1a: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc- 1b: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc- Linux 5.8: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdc- Linux 5.9 Git: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xdcGraphics Details- 1, Linux 5.8, Linux 5.9 Git: GLAMORPython Details- Python 3.8.2Security Details- 1: 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 + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - 1a: 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 - 1b: 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

apple-macrealsr-ncnn: 4x - Nowireguard: osbench: Create Filesosbench: Create Threadsosbench: Launch Programsosbench: Create Processesosbench: Memory Allocationslczero: BLASlczero: Eigenlczero: Randrodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomsincompact3d: 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 Compressioncompress-zstd: 3compress-zstd: 19libraw: Post-Processing Benchmarkonednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUaom-av1: Speed 0 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 6 Realtimeaom-av1: Speed 6 Two-Passaom-av1: Speed 8 Realtimebuild-apache: Time To Compilebuild-linux-kernel: Time To Compilebuild-llvm: Time To Compileespeak: Text-To-Speech Synthesismontage: Mosaic of M17, K band, 1.5 deg x 1.5 degsystem-decompress-gzip: couchdb: 100 - 1000 - 24gromacs: Water Benchmarktensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustivesqlite-speedtest: Timed Time - Size 1,000gmic: 2D Function Plotting, 1000 Timesgmic: Plotting Isosurface Of A 3D Volume, 1000 Timesgmic: 3D Elevated Function In Rand Colors, 100 Timesinkscape: SVG Files To PNGlibreoffice: 20 Documents To PDFocrmypdf: Processing 60 Page PDF Documentrawtherapee: Total Benchmark Timegpaw: Carbon Nanotubemnn: SqueezeNetV1.0mnn: resnet-v2-50mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - squeezenetncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinytnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1ai-benchmark: Device Inference Scoreai-benchmark: Device Training Scoreai-benchmark: Device AI Scoregit: Time To Complete Common Git Commandstesseract-ocr: Time To OCR 7 Imageskripke: influxdb: 4 - 10000 - 2,5000,1 - 10000influxdb: 64 - 10000 - 2,5000,1 - 10000influxdb: 1024 - 10000 - 2,5000,1 - 10000dolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchbyte: Dhrystone 2caffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200hint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregression11a1bLinux 5.8Linux 5.9 Git370.674255.14017.64167615.62754370.78329727.939479108.341376572497175293673.863135.154297.24761.60731.8264.72588876.545471203.5193782.3611.9643.07923.4589.21564.8891748.212.824.0010.5189154.57426.735912.397519.8370754.602527.2556.058800.191.5812.222.5028.8240.474259.2492013.16335.247101.6803.757186.0160.410580768837405342695139444940572775764905.2312.9486.06681.1089.013136.07925.03481.93531.2219.40965.588114.937803.18012.26168.0136.5588.99574.80331.8537.9110.048.595.608.4013.472.5029.48115.5328.8830.7358.8850.25416.896389.443539601114065.21931.5632875570788302.8842947.2847324.613.928187.13324.56717099.367156147146.81534175921.579192158667194847390198340385345.0639287.62126.0633.185.78370.380270.43718.15711016.17670171.52080628.413137111.140410553487175841673.641135.294301.97162.19032.2524.57479881.362264202.5963802.3561.9913.10923.5119.24265.6441703.612.324.0011.1785154.58526.416912.960120.1618719.337519.3536.284940.191.5612.132.4828.6640.728263.4162033.74435.410101.6213.809175.4340.406581423837282342735239462640586775766405.2412.9784.98681.4288.194139.68424.97782.32031.2969.56165.469115.459800.74712.40368.9706.5959.10675.72831.7337.9910.018.585.538.4013.562.5129.63118.8129.1931.2459.5650.54419.039392.035536596113265.69531.6926061038780725.5836526.4845755.624.62716367.982463134146.86533676043.379664159335195386390701337798306.4780285.39130.7133.485.85371.213270.58818.62288818.28352674.04963234.709771110.621929553490175650670.612135.603303.07062.24132.2154.81432880.041544219.2963802.3491.9733.07023.6059.17365.5341708.412.223.9810.9184153.05027.543312.983820.1737763.335523.2666.057980.191.5712.222.5028.8340.923264.8432027.38535.113101.0283.771177.4330.406580769837072742682839440040606775734975.2312.9686.10682.1088.405138.35424.40181.79331.4069.50665.365115.344802.27712.29368.8646.6379.05075.48531.7737.8810.008.575.518.3313.532.5129.58118.1729.4231.3259.4450.48417.044387.190535597113265.04531.5287984554778638.6838896.2842927.924.46016469.591709348146.93934221254.679506158593195308391033342293879.0120985.69130.9433.575.88OpenBenchmarking.org

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No1Linux 5.8Linux 5.9 Git80160240320400SE +/- 0.19, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3370.67370.38371.21

WireGuard + Linux Networking Stack Stress Test

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress Test1aLinux 5.8Linux 5.9 Git60120180240300SE +/- 1.17, N = 3SE +/- 1.63, N = 3SE +/- 0.53, N = 3255.14270.44270.59

OSBench

Test: Create Files

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Files1aLinux 5.8Linux 5.9 Git510152025SE +/- 0.16, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 317.6418.1618.621. (CC) gcc options: -lm

OSBench

Test: Create Threads

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Threads1aLinux 5.8Linux 5.9 Git48121620SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.22, N = 615.6316.1818.281. (CC) gcc options: -lm

OSBench

Test: Launch Programs

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch Programs1aLinux 5.8Linux 5.9 Git1632486480SE +/- 0.21, N = 3SE +/- 0.11, N = 3SE +/- 0.26, N = 370.7871.5274.051. (CC) gcc options: -lm

OSBench

Test: Create Processes

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create Processes1aLinux 5.8Linux 5.9 Git816243240SE +/- 0.20, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 327.9428.4134.711. (CC) gcc options: -lm

OSBench

Test: Memory Allocations

OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory Allocations1aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.41, N = 3SE +/- 0.26, N = 3SE +/- 0.20, N = 3108.34111.14110.621. (CC) gcc options: -lm

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS1aLinux 5.8Linux 5.9 Git120240360480600SE +/- 5.78, N = 3SE +/- 2.00, N = 3SE +/- 3.79, N = 35725535531. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen1aLinux 5.8Linux 5.9 Git110220330440550SE +/- 5.17, N = 3SE +/- 5.77, N = 3SE +/- 5.04, N = 34974874901. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random1aLinux 5.8Linux 5.9 Git40K80K120K160K200KSE +/- 260.75, N = 3SE +/- 165.90, N = 3SE +/- 110.97, N = 31752931758411756501. (CXX) g++ options: -flto -pthread

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMD1aLinux 5.8Linux 5.9 Git150300450600750SE +/- 6.82, N = 9SE +/- 7.51, N = 9SE +/- 6.79, N = 9673.86673.64670.611. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3D1aLinux 5.8Linux 5.9 Git306090120150SE +/- 0.68, N = 3SE +/- 0.45, N = 3SE +/- 0.31, N = 3135.15135.29135.601. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Leukocyte1aLinux 5.8Linux 5.9 Git70140210280350SE +/- 1.30, N = 3SE +/- 1.37, N = 3SE +/- 0.25, N = 3297.25301.97303.071. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD Solver1aLinux 5.8Linux 5.9 Git1428425670SE +/- 0.12, N = 3SE +/- 0.08, N = 3SE +/- 0.07, N = 361.6162.1962.241. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP Streamcluster1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 331.8332.2532.221. (CXX) g++ options: -O2 -lOpenCL

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 Atoms1aLinux 5.8Linux 5.9 Git1.08322.16643.24964.33285.416SE +/- 0.04273, N = 11SE +/- 0.02021, N = 3SE +/- 0.08324, N = 34.725884.574794.81432

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: Cylinder1aLinux 5.8Linux 5.9 Git2004006008001000SE +/- 0.40, N = 3SE +/- 0.94, N = 3SE +/- 0.81, N = 3876.55881.36880.041. (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 RNA1a1bLinux 5.8Linux 5.9 Git50100150200250SE +/- 12.37, N = 9SE +/- 0.05, N = 3SE +/- 12.70, N = 12SE +/- 9.33, N = 12203.5213.93202.60219.301. (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 tau100.01aLinux 5.8Linux 5.9 Git80160240320400SE +/- 0.58, N = 33783803801. (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 Protein1aLinux 5.8Linux 5.9 Git0.53121.06241.59362.12482.656SE +/- 0.008, N = 3SE +/- 0.015, N = 3SE +/- 0.006, N = 32.3612.3562.3491. (CXX) g++ options: -O3 -pthread -lm

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Default1aLinux 5.8Linux 5.9 Git0.4480.8961.3441.7922.24SE +/- 0.003, N = 3SE +/- 0.009, N = 3SE +/- 0.013, N = 31.9641.9911.9731. (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 1001aLinux 5.8Linux 5.9 Git0.69951.3992.09852.7983.4975SE +/- 0.008, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 33.0793.1093.0701. (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, Lossless1aLinux 5.8Linux 5.9 Git612182430SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 323.4623.5123.611. (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 Compression1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.011, N = 3SE +/- 0.013, N = 3SE +/- 0.016, N = 39.2159.2429.1731. (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 Compression1aLinux 5.8Linux 5.9 Git1530456075SE +/- 0.14, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 364.8965.6465.531. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 31aLinux 5.8Linux 5.9 Git400800120016002000SE +/- 4.11, N = 3SE +/- 1.23, N = 3SE +/- 4.54, N = 31748.21703.61708.41. (CC) gcc options: -O3 -pthread -lz -llzma

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 191aLinux 5.8Linux 5.9 Git3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.09, N = 312.812.312.21. (CC) gcc options: -O3 -pthread -lz -llzma

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing Benchmark1aLinux 5.8Linux 5.9 Git612182430SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 324.0024.0023.981. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPU1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.13, N = 310.5211.1810.92MIN: 10.18MIN: 10.46MIN: 10.391. (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: CPU1aLinux 5.8Linux 5.9 Git306090120150SE +/- 2.45, N = 3SE +/- 0.30, N = 3SE +/- 0.72, N = 3154.57154.59153.05MIN: 146.76MIN: 148.69MIN: 147.851. (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: CPU1aLinux 5.8Linux 5.9 Git612182430SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 326.7426.4227.54MIN: 26.3MIN: 26.11MIN: 27.141. (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: CPU1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.14, N = 15SE +/- 0.26, N = 15SE +/- 0.11, N = 1512.4012.9612.98MIN: 11.76MIN: 11.6MIN: 12.011. (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: CPU1aLinux 5.8Linux 5.9 Git510152025SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.28, N = 319.8420.1620.17MIN: 19.39MIN: 19.71MIN: 19.131. (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: CPU1aLinux 5.8Linux 5.9 Git160320480640800SE +/- 9.87, N = 5SE +/- 3.00, N = 3SE +/- 6.51, N = 3754.60719.34763.34MIN: 726.57MIN: 706.58MIN: 748.451. (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: CPU1aLinux 5.8Linux 5.9 Git110220330440550SE +/- 6.88, N = 5SE +/- 8.35, N = 3SE +/- 6.05, N = 3527.26519.35523.27MIN: 500.69MIN: 498.78MIN: 510.481. (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: CPU1aLinux 5.8Linux 5.9 Git246810SE +/- 0.01458, N = 3SE +/- 0.02981, N = 3SE +/- 0.01040, N = 36.058806.284946.05798MIN: 5.96MIN: 6.13MIN: 5.951. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-Pass1aLinux 5.8Linux 5.9 Git0.04280.08560.12840.17120.214SE +/- 0.00, N = 3SE +/- 0.00, N = 4SE +/- 0.00, N = 30.190.190.191. (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-Pass1aLinux 5.8Linux 5.9 Git0.35550.7111.06651.4221.7775SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.581.561.571. (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 Realtime1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 312.2212.1312.221. (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-Pass1aLinux 5.8Linux 5.9 Git0.56251.1251.68752.252.8125SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.502.482.501. (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 Realtime1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 328.8228.6628.831. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compile1aLinux 5.8Linux 5.9 Git918273645SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 340.4740.7340.92

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To Compile1aLinux 5.8Linux 5.9 Git60120180240300SE +/- 0.88, N = 3SE +/- 0.56, N = 3SE +/- 0.98, N = 3259.25263.42264.84

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To Compile1aLinux 5.8Linux 5.9 Git400800120016002000SE +/- 1.04, N = 3SE +/- 1.41, N = 3SE +/- 0.34, N = 32013.162033.742027.39

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis1aLinux 5.8Linux 5.9 Git816243240SE +/- 0.15, N = 4SE +/- 0.19, N = 4SE +/- 0.17, N = 435.2535.4135.111. (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 deg1aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.36, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 3101.68101.62101.031. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

System GZIP Decompression

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP Decompression1aLinux 5.8Linux 5.9 Git0.8571.7142.5713.4284.285SE +/- 0.031, N = 13SE +/- 0.064, N = 3SE +/- 0.062, N = 33.7573.8093.771

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 241a1bLinux 5.8Linux 5.9 Git4080120160200SE +/- 1.76, N = 3SE +/- 0.55, N = 3SE +/- 0.36, N = 3SE +/- 0.36, N = 3186.02187.13175.43177.431. (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 Benchmark1aLinux 5.8Linux 5.9 Git0.09230.18460.27690.36920.4615SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.4100.4060.4061. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNet1aLinux 5.8Linux 5.9 Git120K240K360K480K600KSE +/- 100.38, N = 3SE +/- 288.45, N = 3SE +/- 124.86, N = 3580768581423580769

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V41aLinux 5.8Linux 5.9 Git2M4M6M8M10MSE +/- 2949.69, N = 3SE +/- 2566.98, N = 3SE +/- 859.08, N = 3837405383728238370727

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet Mobile1aLinux 5.8Linux 5.9 Git90K180K270K360K450KSE +/- 172.19, N = 3SE +/- 318.88, N = 3SE +/- 106.30, N = 3426951427352426828

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Float1aLinux 5.8Linux 5.9 Git80K160K240K320K400KSE +/- 56.10, N = 3SE +/- 122.77, N = 3SE +/- 132.01, N = 3394449394626394400

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet Quant1aLinux 5.8Linux 5.9 Git90K180K270K360K450KSE +/- 80.23, N = 3SE +/- 269.94, N = 3SE +/- 186.36, N = 3405727405867406067

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V21aLinux 5.8Linux 5.9 Git1.6M3.2M4.8M6.4M8MSE +/- 1057.88, N = 3SE +/- 225.46, N = 3SE +/- 259.89, N = 3757649075766407573497

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1aLinux 5.8Linux 5.9 Git1.1792.3583.5374.7165.895SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 35.235.245.231. (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: Medium1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 312.9412.9712.961. (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: Thorough1aLinux 5.8Linux 5.9 Git20406080100SE +/- 1.15, N = 3SE +/- 0.04, N = 3SE +/- 1.12, N = 386.0684.9886.101. (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: Exhaustive1aLinux 5.8Linux 5.9 Git150300450600750SE +/- 0.17, N = 3SE +/- 0.19, N = 3SE +/- 1.01, N = 3681.10681.42682.101. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,0001aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.25, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 389.0188.1988.411. (CC) gcc options: -O2 -ldl -lz -lpthread

G'MIC

Test: 2D Function Plotting, 1000 Times

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 2D Function Plotting, 1000 Times1aLinux 5.8Linux 5.9 Git306090120150SE +/- 1.19, N = 11SE +/- 2.30, N = 3SE +/- 2.01, N = 4136.08139.68138.351. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

G'MIC

Test: Plotting Isosurface Of A 3D Volume, 1000 Times

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: Plotting Isosurface Of A 3D Volume, 1000 Times1aLinux 5.8Linux 5.9 Git612182430SE +/- 0.25, N = 8SE +/- 0.23, N = 3SE +/- 0.01, N = 325.0324.9824.401. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

G'MIC

Test: 3D Elevated Function In Random Colors, 100 Times

OpenBenchmarking.orgSeconds, Fewer Is BetterG'MICTest: 3D Elevated Function In Random Colors, 100 Times1aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.05, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 381.9482.3281.791. Version 2.4.5, Copyright (c) 2008-2019, David Tschumperle.

Inkscape

Operation: SVG Files To PNG

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNG1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.14, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 331.2231.3031.411. Inkscape 0.92.5 (2060ec1f9f, 2020-04-08)

LibreOffice

Test: 20 Documents To PDF

OpenBenchmarking.orgSeconds, Fewer Is BetterLibreOfficeTest: 20 Documents To PDF1aLinux 5.8Linux 5.9 Git3691215SE +/- 0.088, N = 10SE +/- 0.106, N = 6SE +/- 0.110, N = 69.4099.5619.5061. LibreOffice 6.4.3.2 40(Build:2)

OCRMyPDF

Processing 60 Page PDF Document

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 9.6.0+dfsgProcessing 60 Page PDF Document1aLinux 5.8Linux 5.9 Git1530456075SE +/- 0.95, N = 3SE +/- 0.99, N = 3SE +/- 0.88, N = 365.5965.4765.37

RawTherapee

Total Benchmark Time

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Time1aLinux 5.8Linux 5.9 Git306090120150SE +/- 0.19, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3114.94115.46115.341. RawTherapee, version 5.8, command line.

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon Nanotube1aLinux 5.8Linux 5.9 Git2004006008001000SE +/- 9.84, N = 5SE +/- 1.51, N = 3SE +/- 0.61, N = 3803.18800.75802.281. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.01aLinux 5.8Linux 5.9 Git3691215SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 312.2612.4012.29MIN: 12.06 / MAX: 38.67MIN: 12.27 / MAX: 24.67MIN: 12.17 / MAX: 29.811. (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: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-501aLinux 5.8Linux 5.9 Git1530456075SE +/- 0.07, N = 3SE +/- 0.20, N = 3SE +/- 0.15, N = 368.0168.9768.86MIN: 66.43 / MAX: 94.47MIN: 67.37 / MAX: 94.79MIN: 67.93 / MAX: 97.11. (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_2241aLinux 5.8Linux 5.9 Git246810SE +/- 0.034, N = 3SE +/- 0.019, N = 3SE +/- 0.004, N = 36.5586.5956.637MIN: 6.42 / MAX: 32.36MIN: 6.49 / MAX: 33.55MIN: 6.43 / MAX: 32.831. (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: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.01aLinux 5.8Linux 5.9 Git3691215SE +/- 0.028, N = 3SE +/- 0.030, N = 3SE +/- 0.023, N = 38.9959.1069.050MIN: 8.75 / MAX: 14.56MIN: 8.99 / MAX: 18.25MIN: 8.74 / MAX: 34.391. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v31aLinux 5.8Linux 5.9 Git20406080100SE +/- 0.23, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 374.8075.7375.49MIN: 73.75 / MAX: 102.38MIN: 74.6 / MAX: 103.84MIN: 73.77 / MAX: 104.071. (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: squeezenet1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.22, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 331.8531.7331.77MIN: 31.4 / MAX: 46.79MIN: 31.58 / MAX: 33.86MIN: 31.59 / MAX: 40.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet1aLinux 5.8Linux 5.9 Git918273645SE +/- 0.16, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 337.9137.9937.88MIN: 37.53 / MAX: 50.41MIN: 37.51 / MAX: 82.72MIN: 37.66 / MAX: 541. (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-v21aLinux 5.8Linux 5.9 Git3691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 310.0410.0110.00MIN: 9.8 / MAX: 17.01MIN: 9.87 / MAX: 22.51MIN: 9.87 / MAX: 25.161. (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-v31aLinux 5.8Linux 5.9 Git246810SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 38.598.588.57MIN: 8.4 / MAX: 13.74MIN: 8.47 / MAX: 10.65MIN: 8.46 / MAX: 10.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21aLinux 5.8Linux 5.9 Git1.262.523.785.046.3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.605.535.51MIN: 5.45 / MAX: 9.2MIN: 5.44 / MAX: 6.39MIN: 5.44 / MAX: 6.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1aLinux 5.8Linux 5.9 Git246810SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 38.408.408.33MIN: 8.29 / MAX: 10.01MIN: 8.19 / MAX: 8.96MIN: 8.18 / MAX: 11.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b01aLinux 5.8Linux 5.9 Git3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.4713.5613.53MIN: 13.4 / MAX: 14.46MIN: 13.49 / MAX: 15.72MIN: 13.48 / MAX: 14.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1aLinux 5.8Linux 5.9 Git0.56481.12961.69442.25922.824SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.502.512.51MIN: 2.48 / MAX: 3.39MIN: 2.48 / MAX: 3.39MIN: 2.48 / MAX: 6.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 329.4829.6329.58MIN: 29.27 / MAX: 53.46MIN: 29.48 / MAX: 31.73MIN: 29.45 / MAX: 30.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161aLinux 5.8Linux 5.9 Git306090120150SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3115.53118.81118.17MIN: 113.18 / MAX: 127.99MIN: 116.76 / MAX: 144.96MIN: 115.23 / MAX: 133.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet181aLinux 5.8Linux 5.9 Git714212835SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 328.8829.1929.42MIN: 28.72 / MAX: 30.4MIN: 29 / MAX: 37.11MIN: 28.98 / MAX: 41.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 330.7331.2431.32MIN: 29.32 / MAX: 45.24MIN: 28.86 / MAX: 43.79MIN: 29.49 / MAX: 39.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501aLinux 5.8Linux 5.9 Git1326395265SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 358.8859.5659.44MIN: 58.46 / MAX: 74.49MIN: 59.22 / MAX: 62.83MIN: 59.19 / MAX: 631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1aLinux 5.8Linux 5.9 Git1122334455SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 350.2550.5450.48MIN: 49.89 / MAX: 52.2MIN: 50.07 / MAX: 81.11MIN: 50.26 / MAX: 65.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v21aLinux 5.8Linux 5.9 Git90180270360450SE +/- 0.06, N = 3SE +/- 1.65, N = 3SE +/- 0.29, N = 3416.90419.04417.04MIN: 413.67 / MAX: 424.33MIN: 413.82 / MAX: 431.27MIN: 415.53 / MAX: 427.141. (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 v1.11aLinux 5.8Linux 5.9 Git90180270360450SE +/- 0.26, N = 3SE +/- 0.26, N = 3SE +/- 0.06, N = 3389.44392.04387.19MIN: 385.38 / MAX: 406.64MIN: 386.77 / MAX: 399.83MIN: 385.82 / MAX: 394.241. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

AI Benchmark Alpha

Device Inference Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Inference Score1aLinux 5.8Linux 5.9 Git120240360480600539536535

AI Benchmark Alpha

Device Training Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device Training Score1aLinux 5.8Linux 5.9 Git130260390520650601596597

AI Benchmark Alpha

Device AI Score

OpenBenchmarking.orgScore, More Is BetterAI Benchmark Alpha 0.1.2Device AI Score1aLinux 5.8Linux 5.9 Git2004006008001000114011321132

Git

Time To Complete Common Git Commands

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git Commands1aLinux 5.8Linux 5.9 Git1530456075SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 365.2265.7065.051. git version 2.25.1

Tesseract OCR

Time To OCR 7 Images

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.1.1Time To OCR 7 Images1aLinux 5.8Linux 5.9 Git714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 331.5631.6931.53

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.41aLinux 5.8Linux 5.9 Git2M4M6M8M10MSE +/- 133524.86, N = 9SE +/- 85847.03, N = 3SE +/- 92483.67, N = 92875570606103879845541. (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: 100001aLinux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 300.35, N = 3SE +/- 2456.58, N = 3SE +/- 1551.05, N = 3788302.8780725.5778638.6

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: 100001aLinux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 765.67, N = 3SE +/- 1733.63, N = 3SE +/- 1400.53, N = 3842947.2836526.4838896.2

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: 100001aLinux 5.8Linux 5.9 Git200K400K600K800K1000KSE +/- 1296.24, N = 3SE +/- 733.38, N = 3SE +/- 1086.60, N = 3847324.6845755.6842927.9

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics1bLinux 5.8Linux 5.9 Git612182430SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 324.5724.6324.46

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1bLinux 5.8Linux 5.9 Git4K8K12K16K20KSE +/- 30.82, N = 3SE +/- 55.87, N = 3SE +/- 62.02, N = 317099.3716367.9816469.591. (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 Search1bLinux 5.8Linux 5.9 Git306090120150SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 3146.82146.87146.941. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21bLinux 5.8Linux 5.9 Git7M14M21M28M35MSE +/- 24181.72, N = 3SE +/- 200749.27, N = 3SE +/- 145373.70, N = 334175921.533676043.334221254.6

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1001bLinux 5.8Linux 5.9 Git20K40K60K80K100KSE +/- 26.19, N = 3SE +/- 75.26, N = 3SE +/- 27.51, N = 37919279664795061. (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: 2001bLinux 5.8Linux 5.9 Git30K60K90K120K150KSE +/- 84.87, N = 3SE +/- 10.82, N = 3SE +/- 459.87, N = 31586671593351585931. (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: 1001bLinux 5.8Linux 5.9 Git40K80K120K160K200KSE +/- 177.84, N = 3SE +/- 107.76, N = 3SE +/- 92.24, N = 31948471953861953081. (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: 2001bLinux 5.8Linux 5.9 Git80K160K240K320K400KSE +/- 397.84, N = 3SE +/- 238.78, N = 3SE +/- 381.92, N = 33901983907013910331. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT1bLinux 5.8Linux 5.9 Git70M140M210M280M350MSE +/- 368233.75, N = 3SE +/- 255481.25, N = 3SE +/- 22764.71, N = 3340385345.06337798306.48342293879.011. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1bLinux 5.8Linux 5.9 Git20406080100SE +/- 1.17, N = 3SE +/- 0.72, N = 15SE +/- 0.77, N = 1587.6285.3985.69

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1bLinux 5.8Linux 5.9 Git306090120150SE +/- 0.52, N = 3SE +/- 1.26, N = 3SE +/- 1.39, N = 9126.06130.71130.94

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm1bLinux 5.8Linux 5.9 Git816243240SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 333.1833.4833.57

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1bLinux 5.8Linux 5.9 Git1.3232.6463.9695.2926.615SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 35.785.855.88


Phoronix Test Suite v10.8.4