TR 3960X WK

AMD Ryzen Threadripper 3960X 24-Core testing with a MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS) and Sapphire AMD Radeon RX 5500/5500M / Pro 5500M 4GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009286-PTS-TR3960XW65&grs&sor&rro.

TR 3960X WKProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen Threadripper 3960X 24-Core @ 3.80GHz (24 Cores / 48 Threads)MSI Creator TRX40 (MS-7C59) v1.0 (1.12N1 BIOS)AMD Starship/Matisse32GB1000GB Sabrent Rocket 4.0 1TBSapphire AMD Radeon RX 5500/5500M / Pro 5500M 4GB (1900/875MHz)AMD Navi 10 HDMI AudioASUS MG28UAquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200Ubuntu 20.045.9.0-rc5-14sep-patch (x86_64) 20200914GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8 (LLVM 10.0.0)1.2.128GCC 9.3.0ext43840x2160OpenBenchmarking.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: 0x8301025Python Details- 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 3960X WKmlpack: scikit_icancnn: Vulkan GPU - yolov4-tinyncnn: CPU - vgg16ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - squeezenetmlpack: scikit_qdancnn: Vulkan GPU - alexnetncnn: CPU - efficientnet-b0mafft: Multiple Sequence Alignment - LSU RNAncnn: CPU - mobilenetncnn: CPU - blazefacencnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - yolov4-tinyncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - resnet50dolfyn: Computational Fluid Dynamicsncnn: CPU - shufflenet-v2ffte: N=256, 3D Complex FFT Routinencnn: CPU - resnet50ncnn: CPU - mnasnetncnn: Vulkan GPU - vgg16mlpack: scikit_linearridgeregressionbyte: Dhrystone 2caffe: AlexNet - CPU - 1000ncnn: CPU - alexnetcouchdb: 100 - 1000 - 24caffe: GoogleNet - CPU - 200ncnn: Vulkan GPU - resnet18ncnn: CPU - resnet18caffe: AlexNet - CPU - 100mlpack: scikit_svmhint: FLOATcaffe: GoogleNet - CPU - 100hmmer: Pfam Database Searchcaffe: GoogleNet - CPU - 1000caffe: AlexNet - CPU - 200ncnn: CPU - squeezenetncnn: CPU - googlenetgromacs: Water Benchmarkncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - mobilenet12353.5321.7041.108.3511.936.2244.9828.128.798.11917.462.977.286.8227.880.9011.7915.8157.3183303.75521013123.376.5880.331.4446013391.363492511.49108.1543181213.8313.896379719.75387229070.97652158702131.076158536712720916.4017.762.5294.443.204.358.639.6052.5821.3242.308.2312.206.2745.9128.668.648.24317.242.937.246.7828.200.8911.8515.8607.2883979.87595459623.556.5380.681.4345773092.963684311.56107.5563191293.8213.946352519.69387185459.42906158891131.428158989012748816.3917.752.5284.443.204.358.259.7954.3321.0541.338.4612.256.1345.8928.368.698.18717.222.947.336.8628.070.8911.9215.7057.3483465.84213605123.536.5780.101.4346091339.863884811.53108.1063174133.8113.966370019.67388597973.06793159254131.508158675712752716.4317.782.5274.443.204.358.4110.22OpenBenchmarking.org

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica3121224364860SE +/- 0.31, N = 3SE +/- 0.37, N = 3SE +/- 0.64, N = 354.3353.5352.58

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny123510152025SE +/- 0.02, N = 3SE +/- 0.10, N = 3SE +/- 0.29, N = 321.7021.3221.05MIN: 12.05 / MAX: 42.59MIN: 13.93 / MAX: 46.1MIN: 11.08 / MAX: 40.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg162311020304050SE +/- 0.52, N = 3SE +/- 0.34, N = 3SE +/- 0.19, N = 342.3041.3341.10MIN: 40.29 / MAX: 44.44MIN: 40.29 / MAX: 125.07MIN: 40.58 / MAX: 42.831. (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-v3312246810SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.24, N = 38.468.358.23MIN: 7 / MAX: 32.09MIN: 7 / MAX: 36MIN: 7 / MAX: 39.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b03213691215SE +/- 0.07, N = 3SE +/- 0.27, N = 3SE +/- 0.25, N = 312.2512.2011.93MIN: 9.98 / MAX: 38.67MIN: 10.04 / MAX: 36.91MIN: 10.02 / MAX: 43.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet213246810SE +/- 0.09, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 36.276.226.13MIN: 5.92 / MAX: 16.22MIN: 5.94 / MAX: 30.39MIN: 5.93 / MAX: 9.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda2311020304050SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.32, N = 345.9145.8944.98

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet231714212835SE +/- 0.29, N = 3SE +/- 0.13, N = 3SE +/- 0.27, N = 328.6628.3628.12MIN: 24.96 / MAX: 55.15MIN: 24.67 / MAX: 55.99MIN: 25.02 / MAX: 62.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0132246810SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 38.798.698.64MIN: 8.52 / MAX: 9.56MIN: 8.49 / MAX: 9.24MIN: 8.42 / MAX: 13.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA231246810SE +/- 0.032, N = 3SE +/- 0.029, N = 3SE +/- 0.058, N = 38.2438.1878.1191. (CC) gcc options: -std=c99 -O3 -lm -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet12348121620SE +/- 0.15, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 317.4617.2417.22MIN: 16.88 / MAX: 98.56MIN: 16.79 / MAX: 18.18MIN: 16.94 / MAX: 18.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1320.66831.33662.00492.67323.3415SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.972.942.93MIN: 2.8 / MAX: 3.43MIN: 2.79 / MAX: 3.29MIN: 2.78 / MAX: 4.111. (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-v2312246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 37.337.287.24MIN: 7.03 / MAX: 12.26MIN: 7.03 / MAX: 9.71MIN: 6.86 / MAX: 8.461. (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-v3312246810SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 36.866.826.78MIN: 6.67 / MAX: 9.17MIN: 6.6 / MAX: 8.32MIN: 6.64 / MAX: 12.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny231714212835SE +/- 0.14, N = 3SE +/- 0.10, N = 3SE +/- 0.04, N = 328.2028.0727.88MIN: 27.77 / MAX: 40.69MIN: 27.72 / MAX: 29.15MIN: 27.63 / MAX: 32.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1320.20250.4050.60750.811.0125SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.900.890.89MIN: 0.88 / MAX: 1.78MIN: 0.87 / MAX: 1.05MIN: 0.88 / MAX: 1.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet503213691215SE +/- 0.32, N = 3SE +/- 0.39, N = 3SE +/- 0.24, N = 311.9211.8511.79MIN: 10.07 / MAX: 40.48MIN: 10.05 / MAX: 35.67MIN: 10.07 / MAX: 37.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics21348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 315.8615.8215.71

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2312246810SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 37.347.317.28MIN: 7.06 / MAX: 8.58MIN: 7.1 / MAX: 9.34MIN: 7.02 / MAX: 8.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine13220K40K60K80K100KSE +/- 411.46, N = 3SE +/- 308.33, N = 3SE +/- 111.80, N = 383303.7683465.8483979.881. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50231612182430SE +/- 0.02, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 323.5523.5323.37MIN: 23.36 / MAX: 28.08MIN: 23.13 / MAX: 25.63MIN: 23.04 / MAX: 24.131. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet132246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 36.586.576.53MIN: 6.37 / MAX: 7.69MIN: 6.42 / MAX: 7.23MIN: 6.37 / MAX: 7.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1621320406080100SE +/- 0.21, N = 3SE +/- 0.26, N = 3SE +/- 0.31, N = 380.6880.3380.10MIN: 70.8 / MAX: 121.57MIN: 70.05 / MAX: 121.13MIN: 70.02 / MAX: 120.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1320.3240.6480.9721.2961.62SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.441.431.43

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 221310M20M30M40M50MSE +/- 211256.10, N = 3SE +/- 536306.21, N = 6SE +/- 715922.77, N = 345773092.946013391.346091339.8

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 1000

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1000321140K280K420K560K700KSE +/- 563.79, N = 3SE +/- 1432.41, N = 3SE +/- 490.79, N = 36388486368436349251. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet2313691215SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.07, N = 311.5611.5311.49MIN: 11.26 / MAX: 12.58MIN: 11.25 / MAX: 15.96MIN: 11.33 / MAX: 121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 2413220406080100SE +/- 0.55, N = 3SE +/- 0.15, N = 3SE +/- 0.44, N = 3108.15108.11107.561. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20021370K140K210K280K350KSE +/- 472.70, N = 3SE +/- 136.00, N = 3SE +/- 800.55, N = 33191293181213174131. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet181230.86181.72362.58543.44724.309SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.833.823.81MIN: 3.75 / MAX: 4.35MIN: 3.75 / MAX: 4.28MIN: 3.74 / MAX: 4.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1832148121620SE +/- 0.16, N = 3SE +/- 0.15, N = 3SE +/- 0.05, N = 313.9613.9413.89MIN: 13.5 / MAX: 15.28MIN: 13.53 / MAX: 14.99MIN: 13.68 / MAX: 15.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10013214K28K42K56K70KSE +/- 143.57, N = 3SE +/- 154.26, N = 3SE +/- 97.00, N = 36379763700635251. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 319.7519.6919.67

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT21380M160M240M320M400MSE +/- 145428.42, N = 3SE +/- 224641.82, N = 3SE +/- 333985.70, N = 3387185459.43387229070.98388597973.071. (CC) gcc options: -O3 -march=native -lm

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10032130K60K90K120K150KSE +/- 63.49, N = 3SE +/- 34.07, N = 3SE +/- 235.22, N = 31592541588911587021. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search321306090120150SE +/- 0.20, N = 3SE +/- 0.06, N = 3SE +/- 0.15, N = 3131.51131.43131.081. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 1000

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1000231300K600K900K1200K1500KSE +/- 2111.28, N = 3SE +/- 2136.95, N = 3SE +/- 339.92, N = 31589890158675715853671. (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: 20032130K60K90K120K150KSE +/- 241.08, N = 3SE +/- 239.20, N = 3SE +/- 174.78, N = 31275271274881272091. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet31248121620SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 316.4316.4016.39MIN: 16.01 / MAX: 17.7MIN: 16.11 / MAX: 17.71MIN: 15.99 / MAX: 17.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet31248121620SE +/- 0.34, N = 3SE +/- 0.22, N = 3SE +/- 0.33, N = 317.7817.7617.75MIN: 17.02 / MAX: 54.98MIN: 17.14 / MAX: 19.41MIN: 16.84 / MAX: 18.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark3210.5691.1381.7072.2762.845SE +/- 0.002, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 32.5272.5282.5291. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet3210.9991.9982.9973.9964.995SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 34.444.444.44MIN: 4.29 / MAX: 9.71MIN: 4.29 / MAX: 4.8MIN: 4.29 / MAX: 5.121. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v23210.721.442.162.883.6SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.203.203.20MIN: 3.15 / MAX: 4.67MIN: 3.14 / MAX: 4.02MIN: 3.14 / MAX: 3.511. (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-v23210.97881.95762.93643.91524.894SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.354.354.35MIN: 4.18 / MAX: 4.92MIN: 4.16 / MAX: 4.71MIN: 4.18 / MAX: 4.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet132246810SE +/- 0.10, N = 3SE +/- 0.41, N = 3SE +/- 0.38, N = 38.638.418.25MIN: 6.94 / MAX: 36.76MIN: 6.92 / MAX: 34.2MIN: 6.93 / MAX: 44.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet3213691215SE +/- 0.43, N = 3SE +/- 0.43, N = 3SE +/- 0.66, N = 310.229.799.60MIN: 6.48 / MAX: 44.78MIN: 7.28 / MAX: 27.36MIN: 7.7 / MAX: 35.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread


Phoronix Test Suite v10.8.5