TR 3990X Okt

AMD Ryzen Threadripper 3990X 64-Core testing with a System76 Thelio Major (F4c Z5 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2010117-FI-TR3990XOK30&grr.

TR 3990X OktProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionLinux 5.423AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads)System76 Thelio Major (F4c Z5 BIOS)AMD Starship/Matisse126GBSamsung SSD 970 EVO Plus 500GBAMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (1750/875MHz)AMD Navi 10 HDMI AudioG237HLIntel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.4.0-47-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8amdgpu 19.1.04.6 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080OpenBenchmarking.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: acpi-cpufreq ondemand - CPU Microcode: 0x8301025Graphics Details- GLAMORPython Details- Python 2.7.18rc1 + Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

TR 3990X Oktlczero: Eigenmnn: inception-v3mnn: mobilenet-v1-1.0mnn: MobileNetV2_224mnn: resnet-v2-50mnn: SqueezeNetV1.0lczero: BLASlczero: Randlammps: 20k Atomscaffe: GoogleNet - CPU - 200mocassin: Dust 2D tau100.0build-llvm: Time To Compilehint: FLOATincompact3d: Cylinderkripke: hmmer: Pfam Database Searchcaffe: GoogleNet - CPU - 100byte: Dhrystone 2couchdb: 100 - 1000 - 24caffe: AlexNet - CPU - 200gpaw: Carbon Nanotubeglmark2: 1920 x 1080ncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetncnn: CPU - squeezenetmlpack: scikit_qdainfluxdb: 4 - 10000 - 2,5000,1 - 10000openvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUinfluxdb: 64 - 10000 - 2,5000,1 - 10000keydb: influxdb: 1024 - 10000 - 2,5000,1 - 10000openvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUgromacs: Water Benchmarkcaffe: AlexNet - CPU - 100mlpack: scikit_icamlpack: scikit_linearridgeregressionncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU - squeezenetespeak: Text-To-Speech Synthesiswebp: Quality 100, Lossless, Highest Compressionaom-av1: Speed 6 Realtimevkfft: aom-av1: Speed 0 Two-Passlibraw: Post-Processing Benchmarknamd: ATPase Simulation - 327,506 Atomsaom-av1: Speed 6 Two-Passmlpack: scikit_svmaom-av1: Speed 4 Two-Passtnn: CPU - MobileNet v2rnnoise: aom-av1: Speed 8 Realtimempv: Big Buck Bunny Sunflower 4K - Software Onlytnn: CPU - SqueezeNet v1.1dolfyn: Computational Fluid Dynamicsrealsr-ncnn: 4x - Nowebp: Quality 100, Losslesssockperf: Latency Under Loadsockperf: Latency Ping Pongsockperf: Throughputmafft: Multiple Sequence Alignment - LSU RNAwebp: Quality 100, Highest Compressionmpv: Big Buck Bunny Sunflower 1080p - Software Onlylammps: Rhodopsin Proteinffte: N=256, 3D Complex FFT Routinesystem-decompress-gzip: webp: Quality 100webp: DefaultLinux 5.423147231.8845.4965.46532.7988.451151619413826.555301954228203.220376705975.84097183.00078344930063165.00315021642607098.5118.091111761110.688865636.4036.7812.1618.6352.6925.595.5116.4912.3713.1112.9613.1227.4025.0742.091148311.04662.586.681498935.7450800.421547196.94799.776.503294.439.653293.719.580.9333390.810.9433014.263.7615462951.501.6114.469.9230.493.3083.738.451.0911.534.613.438.724.549.685.6928.58133.52818.09204900.3341.870.439083.9020.902.53270.10018.63934.831046.24245.84416.96516.88216.22014.7113.7555639339.0027.1412574.8123.682129902.322618762.8642.2941.503144631.7235.4805.44232.6298.519150519366426.287301781229203.638375641035.45247183.69445844873723166.11315070943503603.1118.569112360110.650865635.0536.3911.7518.2352.1426.946.1018.2114.5814.3414.3413.4727.4825.3542.431146038.54683.326.641501667.1440299.411539068.14752.266.523286.549.643316.909.560.9333277.840.9432931.773.7545611851.921.6214.379.8230.273.3184.128.501.0611.464.603.558.714.539.535.7028.46333.77018.12205380.3341.550.438373.9020.912.51268.80918.77234.491037.84244.17217.04416.54316.31014.6083.7985634959.0567.1232563.2823.338127987.824515962.8492.2981.501148331.6075.4805.42232.2918.664147419230626.178303072230203.351374097932.78222184.29836544476553165.74815052244247620.1117.927112011110.575864935.6637.3412.1718.4752.1226.315.8817.3112.9314.1213.8513.3928.2125.6342.791144571.84721.766.601495506.9447704.191534264.54782.636.513284.119.653307.269.600.9333230.500.9432913.003.7535603252.391.6514.399.5830.023.3083.478.461.0811.504.613.438.714.539.715.7428.74734.12617.86205320.3341.400.444253.9120.912.53268.08618.73734.691050.73246.78016.88416.58316.37914.5933.8025724219.1357.1722568.8323.888128693.183227452.8562.3051.494OpenBenchmarking.org

LeelaChessZero

Backend: Eigen

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.42330060090012001500SE +/- 17.75, N = 3SE +/- 20.76, N = 3SE +/- 15.07, N = 81472144614831. (CXX) g++ options: -flto -pthread

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Linux 5.423714212835SE +/- 0.16, N = 13SE +/- 0.20, N = 15SE +/- 0.09, N = 1231.8831.7231.61MIN: 30.07 / MAX: 33.31MIN: 30 / MAX: 33.75MIN: 30.43 / MAX: 33.671. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Linux 5.4231.23662.47323.70984.94646.183SE +/- 0.019, N = 13SE +/- 0.022, N = 14SE +/- 0.021, N = 125.4965.4805.480MIN: 5.09 / MAX: 6.1MIN: 5.07 / MAX: 6.39MIN: 5.04 / MAX: 6.091. (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 5.4231.22962.45923.68884.91846.148SE +/- 0.029, N = 13SE +/- 0.012, N = 15SE +/- 0.022, N = 125.4655.4425.422MIN: 5.19 / MAX: 6.36MIN: 5.16 / MAX: 6.35MIN: 5.18 / 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: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Linux 5.423816243240SE +/- 0.21, N = 13SE +/- 0.17, N = 15SE +/- 0.17, N = 1232.8032.6332.29MIN: 30.14 / MAX: 35.82MIN: 30.5 / MAX: 35.76MIN: 30.04 / MAX: 35.431. (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: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Linux 5.423246810SE +/- 0.112, N = 13SE +/- 0.181, N = 15SE +/- 0.250, N = 128.4518.5198.664MIN: 7.67 / MAX: 10.49MIN: 7.66 / MAX: 11.88MIN: 7.6 / MAX: 121. (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

LeelaChessZero

Backend: BLAS

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.42330060090012001500SE +/- 12.81, N = 3SE +/- 12.57, N = 3SE +/- 14.47, N = 31516150514741. (CXX) g++ options: -flto -pthread

LeelaChessZero

Backend: Random

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.42340K80K120K160K200KSE +/- 434.65, N = 3SE +/- 236.07, N = 3SE +/- 147.36, N = 31941381936641923061. (CXX) g++ options: -flto -pthread

LAMMPS Molecular Dynamics Simulator

Model: 20k Atoms

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: 20k AtomsLinux 5.423612182430SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 326.5626.2926.181. (CXX) g++ options: -O3 -pthread -lm

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.42360K120K180K240K300KSE +/- 143.11, N = 3SE +/- 1840.25, N = 3SE +/- 72.13, N = 33019543017813030721. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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 5.42350100150200250SE +/- 1.00, N = 3SE +/- 1.00, N = 3SE +/- 1.00, N = 32282292301. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Timed LLVM Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed LLVM Compilation 10.0Time To CompileLinux 5.4234080120160200SE +/- 1.18, N = 3SE +/- 0.91, N = 3SE +/- 0.41, N = 3203.22203.64203.35

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.42380M160M240M320M400MSE +/- 918474.47, N = 3SE +/- 1833857.81, N = 3SE +/- 1447224.32, N = 3376705975.84375641035.45374097932.781. (CC) gcc options: -O3 -march=native -lm

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderLinux 5.4234080120160200SE +/- 0.90, N = 3SE +/- 1.34, N = 3SE +/- 1.01, N = 3183.00183.69184.301. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

Kripke

OpenBenchmarking.orgThroughput FoM, More Is BetterKripke 1.2.4Linux 5.42310M20M30M40M50MSE +/- 151580.08, N = 3SE +/- 81815.46, N = 3SE +/- 132345.53, N = 34493006344873723444765531. (CXX) g++ options: -O3 -fopenmp

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.4234080120160200SE +/- 0.34, N = 3SE +/- 0.25, N = 3SE +/- 0.30, N = 3165.00166.11165.751. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.42330K60K90K120K150KSE +/- 388.21, N = 3SE +/- 53.58, N = 3SE +/- 476.07, N = 31502161507091505221. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.4239M18M27M36M45MSE +/- 97131.78, N = 3SE +/- 631231.56, N = 3SE +/- 365672.33, N = 342607098.543503603.144247620.1

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.423306090120150SE +/- 1.01, N = 3SE +/- 0.48, N = 3SE +/- 1.12, N = 3118.09118.57117.931. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.42320K40K60K80K100KSE +/- 186.59, N = 3SE +/- 157.09, N = 3SE +/- 122.83, N = 31117611123601120111. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

GPAW

Input: Carbon Nanotube

OpenBenchmarking.orgSeconds, Fewer Is BetterGPAW 20.1Input: Carbon NanotubeLinux 5.42320406080100SE +/- 0.21, N = 3SE +/- 0.16, N = 3SE +/- 0.09, N = 3110.69110.65110.581. (CC) gcc options: -pthread -shared -fwrapv -O2 -lxc -lblas -lmpi

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Linux 5.4232K4K6K8K10K865686568649

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tinyLinux 5.423816243240SE +/- 0.03, N = 3SE +/- 0.37, N = 3SE +/- 0.35, N = 336.4035.0535.66MIN: 35.85 / MAX: 41.14MIN: 34.11 / MAX: 40.67MIN: 34.66 / MAX: 38.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50Linux 5.423918273645SE +/- 0.49, N = 3SE +/- 0.52, N = 3SE +/- 0.64, N = 336.7836.3937.34MIN: 34.95 / MAX: 41.54MIN: 34.7 / MAX: 41.24MIN: 35.19 / MAX: 51.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetLinux 5.4233691215SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.19, N = 312.1611.7512.17MIN: 11.37 / MAX: 14.77MIN: 11.17 / MAX: 23.47MIN: 11.23 / MAX: 17.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18Linux 5.423510152025SE +/- 0.04, N = 3SE +/- 0.34, N = 3SE +/- 0.05, N = 318.6318.2318.47MIN: 17.97 / MAX: 24.19MIN: 17.31 / MAX: 23.72MIN: 17.93 / MAX: 19.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16Linux 5.4231224364860SE +/- 0.56, N = 3SE +/- 1.04, N = 3SE +/- 0.64, N = 352.6952.1452.12MIN: 50.22 / MAX: 58.21MIN: 48.42 / MAX: 60.84MIN: 49.36 / MAX: 63.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenetLinux 5.423612182430SE +/- 0.27, N = 3SE +/- 0.42, N = 3SE +/- 0.20, N = 325.5926.9426.31MIN: 24.94 / MAX: 42.73MIN: 25.48 / MAX: 29.13MIN: 25.44 / MAX: 33.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceLinux 5.423246810SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.03, N = 35.516.105.88MIN: 5.29 / MAX: 9.76MIN: 5.59 / MAX: 16.3MIN: 5.66 / MAX: 6.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0Linux 5.42348121620SE +/- 0.02, N = 3SE +/- 0.25, N = 3SE +/- 0.08, N = 316.4918.2117.31MIN: 16.29 / MAX: 24.66MIN: 16.67 / MAX: 23.54MIN: 16.65 / MAX: 19.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetLinux 5.42348121620SE +/- 0.19, N = 3SE +/- 1.28, N = 3SE +/- 0.05, N = 312.3714.5812.93MIN: 12.06 / MAX: 14.26MIN: 12.24 / MAX: 23.88MIN: 12.34 / MAX: 19.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2Linux 5.42348121620SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.09, N = 313.1114.3414.12MIN: 12.73 / MAX: 15.23MIN: 13.13 / MAX: 18.68MIN: 13.32 / MAX: 23.181. (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 5.42348121620SE +/- 0.04, N = 3SE +/- 0.23, N = 3SE +/- 0.10, N = 312.9614.3413.85MIN: 12.63 / MAX: 14.51MIN: 12.98 / MAX: 26.26MIN: 13.09 / MAX: 19.51. (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 5.4233691215SE +/- 0.31, N = 3SE +/- 0.23, N = 3SE +/- 0.20, N = 313.1213.4713.39MIN: 12.2 / MAX: 15.14MIN: 12.3 / MAX: 18.22MIN: 12.33 / MAX: 32.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetLinux 5.423714212835SE +/- 0.43, N = 3SE +/- 0.37, N = 3SE +/- 0.19, N = 327.4027.4828.21MIN: 25.76 / MAX: 32.7MIN: 25.29 / MAX: 35.51MIN: 26.7 / MAX: 32.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetLinux 5.423612182430SE +/- 0.10, N = 3SE +/- 0.24, N = 3SE +/- 0.08, N = 325.0725.3525.63MIN: 23.9 / MAX: 29.34MIN: 23.99 / MAX: 29.99MIN: 24.27 / MAX: 29.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.4231020304050SE +/- 0.29, N = 3SE +/- 0.36, N = 3SE +/- 0.14, N = 342.0942.4342.79

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 5.423200K400K600K800K1000KSE +/- 2154.85, N = 3SE +/- 2893.07, N = 3SE +/- 1149.41, N = 31148311.01146038.51144571.8

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.42310002000300040005000SE +/- 34.97, N = 3SE +/- 16.66, N = 3SE +/- 29.15, N = 34662.584683.324721.761. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.423246810SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 36.686.646.601. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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 5.423300K600K900K1200K1500KSE +/- 898.05, N = 3SE +/- 2189.38, N = 3SE +/- 2142.12, N = 31498935.71501667.11495506.9

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.423100K200K300K400K500KSE +/- 7622.83, N = 3SE +/- 3068.12, N = 3SE +/- 5879.33, N = 3450800.42440299.41447704.191. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 5.423300K600K900K1200K1500KSE +/- 2382.01, N = 3SE +/- 3242.42, N = 3SE +/- 5690.48, N = 31547196.91539068.11534264.5

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.42310002000300040005000SE +/- 11.05, N = 3SE +/- 26.72, N = 3SE +/- 16.09, N = 34799.774752.264782.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.423246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 36.506.526.511. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4237001400210028003500SE +/- 7.33, N = 3SE +/- 21.19, N = 3SE +/- 16.95, N = 33294.433286.543284.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.4233691215SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 39.659.649.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4237001400210028003500SE +/- 15.60, N = 3SE +/- 23.91, N = 3SE +/- 7.03, N = 33293.713316.903307.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.4233691215SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 39.589.569.601. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4230.20930.41860.62790.83721.0465SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.930.930.931. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.4237K14K21K28K35KSE +/- 76.15, N = 3SE +/- 207.95, N = 3SE +/- 175.53, N = 333390.8133277.8433230.501. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4230.21150.4230.63450.8461.0575SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 30.940.940.941. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.4237K14K21K28K35KSE +/- 147.89, N = 3SE +/- 275.04, N = 3SE +/- 193.36, N = 333014.2632931.7732913.001. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.4230.84621.69242.53863.38484.231SE +/- 0.005, N = 3SE +/- 0.005, N = 3SE +/- 0.006, N = 33.7613.7543.7531. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.42312K24K36K48K60KSE +/- 541.26, N = 3SE +/- 135.75, N = 3SE +/- 239.93, N = 35462956118560321. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.4231224364860SE +/- 0.17, N = 3SE +/- 0.45, N = 3SE +/- 0.21, N = 351.5051.9252.39

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionLinux 5.4230.37130.74261.11391.48521.8565SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 31.611.621.65

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tinyLinux 5.42348121620SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 314.4614.3714.39MIN: 12.36 / MAX: 40.61MIN: 12.27 / MAX: 32.22MIN: 12.33 / MAX: 39.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet50Linux 5.4233691215SE +/- 0.34, N = 3SE +/- 0.12, N = 3SE +/- 0.09, N = 39.929.829.58MIN: 9.02 / MAX: 30.94MIN: 9 / MAX: 31.97MIN: 8.97 / MAX: 23.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnetLinux 5.423714212835SE +/- 0.57, N = 3SE +/- 0.72, N = 3SE +/- 0.32, N = 330.4930.2730.02MIN: 25.2 / MAX: 56.82MIN: 25.44 / MAX: 55.96MIN: 25.34 / MAX: 56.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18Linux 5.4230.74481.48962.23442.97923.724SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.303.313.30MIN: 3.23 / MAX: 6.06MIN: 3.22 / MAX: 5.09MIN: 3.22 / MAX: 4.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg16Linux 5.42320406080100SE +/- 0.45, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 383.7384.1283.47MIN: 66.8 / MAX: 112.01MIN: 66.71 / MAX: 108.36MIN: 66.56 / MAX: 110.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenetLinux 5.423246810SE +/- 0.21, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 38.458.508.46MIN: 7.12 / MAX: 32.39MIN: 7.1 / MAX: 29.7MIN: 7.12 / MAX: 27.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazefaceLinux 5.4230.24530.49060.73590.98121.2265SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.091.061.08MIN: 1.01 / MAX: 1.56MIN: 1.01 / MAX: 1.56MIN: 1.01 / MAX: 1.451. (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 5.4233691215SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.21, N = 311.5311.4611.50MIN: 10.48 / MAX: 36.8MIN: 10.41 / MAX: 42.66MIN: 10.38 / MAX: 33.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnetLinux 5.4231.03732.07463.11194.14925.1865SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.614.604.61MIN: 4.36 / MAX: 4.94MIN: 4.35 / MAX: 4.94MIN: 4.35 / MAX: 5.071. (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 5.4230.79881.59762.39643.19523.994SE +/- 0.00, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 33.433.553.43MIN: 3.35 / MAX: 3.68MIN: 3.33 / MAX: 22.77MIN: 3.34 / MAX: 3.771. (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 5.423246810SE +/- 0.01, N = 3SE +/- 0.20, N = 3SE +/- 0.19, N = 38.728.718.71MIN: 7.38 / MAX: 31.16MIN: 7.4 / MAX: 31.92MIN: 7.43 / MAX: 30.581. (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 5.4231.02152.0433.06454.0865.1075SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 34.544.534.53MIN: 4.26 / MAX: 7.47MIN: 4.25 / MAX: 5.75MIN: 4.23 / MAX: 5.621. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenetLinux 5.4233691215SE +/- 0.09, N = 3SE +/- 0.04, N = 3SE +/- 0.13, N = 39.689.539.71MIN: 8.37 / MAX: 29.59MIN: 8.35 / MAX: 36.02MIN: 8.39 / MAX: 40.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenetLinux 5.4231.29152.5833.87455.1666.4575SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 35.695.705.74MIN: 5.51 / MAX: 6.13MIN: 5.48 / MAX: 9.78MIN: 5.49 / MAX: 11.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisLinux 5.423714212835SE +/- 0.17, N = 4SE +/- 0.05, N = 4SE +/- 0.07, N = 428.5828.4628.751. (CC) gcc options: -O2 -std=c99

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 5.423816243240SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 333.5333.7734.131. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeLinux 5.42348121620SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.08, N = 318.0918.1217.861. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.4234K8K12K16K20KSE +/- 39.00, N = 3SE +/- 4.16, N = 3SE +/- 2.85, N = 3204902053820532

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassLinux 5.4230.07430.14860.22290.29720.3715SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.330.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkLinux 5.4231020304050SE +/- 0.26, N = 3SE +/- 0.28, N = 3SE +/- 0.08, N = 341.8741.5541.401. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsLinux 5.4230.10.20.30.40.5SE +/- 0.00089, N = 3SE +/- 0.00080, N = 3SE +/- 0.00402, N = 30.439080.438370.44425

AOM AV1

Encoder Mode: Speed 6 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassLinux 5.4230.87981.75962.63943.51924.399SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.903.903.911. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.423510152025SE +/- 0.04, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 320.9020.9120.91

AOM AV1

Encoder Mode: Speed 4 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassLinux 5.4230.56931.13861.70792.27722.8465SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.532.512.531. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v2Linux 5.42360120180240300SE +/- 3.67, N = 3SE +/- 0.64, N = 3SE +/- 2.03, N = 3270.10268.81268.09MIN: 262.09 / MAX: 307.37MIN: 262.12 / MAX: 297.98MIN: 261.24 / MAX: 297.961. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.423510152025SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 318.6418.7718.741. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

AOM AV1

Encoder Mode: Speed 8 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeLinux 5.423816243240SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 334.8334.4934.691. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

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 5.4232004006008001000SE +/- 5.25, N = 3SE +/- 1.81, N = 3SE +/- 1.72, N = 31046.241037.841050.73MIN: 545.46 / MAX: 2000.04MIN: 545.46 / MAX: 2000.02MIN: 545.45 / MAX: 2000.041. mpv 0.32.0

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.1Linux 5.42350100150200250SE +/- 0.60, N = 3SE +/- 0.37, N = 3SE +/- 0.33, N = 3245.84244.17246.78MIN: 244.15 / MAX: 249.18MIN: 241.07 / MAX: 245.76MIN: 243.93 / MAX: 255.191. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.42348121620SE +/- 0.23, N = 3SE +/- 0.29, N = 3SE +/- 0.19, N = 316.9717.0416.88

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoLinux 5.42348121620SE +/- 0.22, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 316.8816.5416.58

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessLinux 5.42348121620SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 316.2216.3116.381. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Sockperf

Test: Latency Under Load

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Under LoadLinux 5.42348121620SE +/- 0.06, N = 5SE +/- 0.10, N = 5SE +/- 0.17, N = 614.7114.6114.591. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Sockperf

Test: Latency Ping Pong

OpenBenchmarking.orgusec, Fewer Is BetterSockperf 3.4Test: Latency Ping PongLinux 5.4230.85551.7112.56653.4224.2775SE +/- 0.027, N = 5SE +/- 0.025, N = 5SE +/- 0.018, N = 53.7553.7983.8021. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Sockperf

Test: Throughput

OpenBenchmarking.orgMessages Per Second, More Is BetterSockperf 3.4Test: ThroughputLinux 5.423120K240K360K480K600KSE +/- 6120.70, N = 5SE +/- 7244.39, N = 5SE +/- 5468.48, N = 55639335634955724211. (CXX) g++ options: --param -O3 -rdynamic -ldl -lpthread

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.4233691215SE +/- 0.056, N = 3SE +/- 0.042, N = 3SE +/- 0.030, N = 39.0029.0569.1351. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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 5.423246810SE +/- 0.015, N = 3SE +/- 0.009, N = 3SE +/- 0.010, N = 37.1417.1237.1721. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

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 5.4236001200180024003000SE +/- 13.10, N = 3SE +/- 18.75, N = 3SE +/- 3.63, N = 32574.812563.282568.83MIN: 1200 / MAX: 6000.24MIN: 1200.01 / MAX: 6000.24MIN: 1333.32 / MAX: 6000.241. mpv 0.32.0

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinLinux 5.423612182430SE +/- 0.40, N = 3SE +/- 0.35, N = 3SE +/- 0.34, N = 1523.6823.3423.891. (CXX) g++ options: -O3 -pthread -lm

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.42330K60K90K120K150KSE +/- 375.92, N = 3SE +/- 813.33, N = 3SE +/- 201.66, N = 3129902.32127987.82128693.181. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

System GZIP Decompression

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionLinux 5.4230.64441.28881.93322.57763.222SE +/- 0.018, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 32.8642.8492.856

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Linux 5.4230.51861.03721.55582.07442.593SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 32.2942.2982.3051. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultLinux 5.4230.33820.67641.01461.35281.691SE +/- 0.003, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.5031.5011.4941. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff


Phoronix Test Suite v10.8.4