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&grr.

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 WKcaffe: GoogleNet - CPU - 1000caffe: AlexNet - CPU - 1000caffe: GoogleNet - CPU - 200hint: FLOATcaffe: GoogleNet - CPU - 100byte: Dhrystone 2hmmer: Pfam Database Searchcaffe: AlexNet - CPU - 200couchdb: 100 - 1000 - 24mlpack: scikit_qdagromacs: Water Benchmarkncnn: 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 - squeezenetcaffe: AlexNet - CPU - 100mlpack: scikit_icancnn: 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 - squeezenetmlpack: scikit_linearridgeregressionmlpack: scikit_svmdolfyn: Computational Fluid Dynamicsmafft: Multiple Sequence Alignment - LSU RNAffte: N=256, 3D Complex FFT Routine1231585367634925318121387229070.9765215870246013391.3131.076127209108.15444.982.52927.8823.3711.4913.8941.1017.762.978.796.587.316.827.2817.4616.406379753.5321.7011.7928.123.8380.338.630.9011.934.443.208.354.359.606.221.4419.7515.8158.11983303.7552101311589890636843319129387185459.4290615889145773092.9131.428127488107.55645.912.52828.2023.5511.5613.9442.3017.752.938.646.537.286.787.2417.2416.396352552.5821.3211.8528.663.8280.688.250.8912.204.443.208.234.359.796.271.4319.6915.8608.24383979.8759545961586757638848317413388597973.0679315925446091339.8131.508127527108.10645.892.52728.0723.5311.5313.9641.3317.782.948.696.577.346.867.3317.2216.436370054.3321.0511.9228.363.8180.108.410.8912.254.443.208.464.3510.226.131.4319.6715.7058.18783465.842136051OpenBenchmarking.org

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 1000

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1000123300K600K900K1200K1500KSE +/- 339.92, N = 3SE +/- 2111.28, N = 3SE +/- 2136.95, N = 31585367158989015867571. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 1000

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 1000123140K280K420K560K700KSE +/- 490.79, N = 3SE +/- 1432.41, N = 3SE +/- 563.79, N = 36349256368436388481. (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: 20012370K140K210K280K350KSE +/- 136.00, N = 3SE +/- 472.70, N = 3SE +/- 800.55, N = 33181213191293174131. (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: FLOAT12380M160M240M320M400MSE +/- 224641.82, N = 3SE +/- 145428.42, N = 3SE +/- 333985.70, N = 3387229070.98387185459.43388597973.071. (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: 10012330K60K90K120K150KSE +/- 235.22, N = 3SE +/- 34.07, N = 3SE +/- 63.49, N = 31587021588911592541. (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 212310M20M30M40M50MSE +/- 536306.21, N = 6SE +/- 211256.10, N = 3SE +/- 715922.77, N = 346013391.345773092.946091339.8

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3131.08131.43131.511. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 20012330K60K90K120K150KSE +/- 174.78, N = 3SE +/- 239.20, N = 3SE +/- 241.08, N = 31272091274881275271. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 2412320406080100SE +/- 0.55, N = 3SE +/- 0.44, N = 3SE +/- 0.15, N = 3108.15107.56108.111. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231020304050SE +/- 0.32, N = 3SE +/- 0.12, N = 3SE +/- 0.04, N = 344.9845.9145.89

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.5691.1381.7072.2762.845SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.002, N = 32.5292.5282.5271. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny123714212835SE +/- 0.04, N = 3SE +/- 0.14, N = 3SE +/- 0.10, N = 327.8828.2028.07MIN: 27.63 / MAX: 32.81MIN: 27.77 / MAX: 40.69MIN: 27.72 / MAX: 29.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50123612182430SE +/- 0.11, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 323.3723.5523.53MIN: 23.04 / MAX: 24.13MIN: 23.36 / MAX: 28.08MIN: 23.13 / MAX: 25.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet1233691215SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.13, N = 311.4911.5611.53MIN: 11.33 / MAX: 12MIN: 11.26 / MAX: 12.58MIN: 11.25 / MAX: 15.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet1812348121620SE +/- 0.05, N = 3SE +/- 0.15, N = 3SE +/- 0.16, N = 313.8913.9413.96MIN: 13.68 / MAX: 15.18MIN: 13.53 / MAX: 14.99MIN: 13.5 / MAX: 15.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161231020304050SE +/- 0.19, N = 3SE +/- 0.52, N = 3SE +/- 0.34, N = 341.1042.3041.33MIN: 40.58 / MAX: 42.83MIN: 40.29 / MAX: 44.44MIN: 40.29 / MAX: 125.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet12348121620SE +/- 0.22, N = 3SE +/- 0.33, N = 3SE +/- 0.34, N = 317.7617.7517.78MIN: 17.14 / MAX: 19.41MIN: 16.84 / MAX: 18.95MIN: 17.02 / MAX: 54.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.66831.33662.00492.67323.3415SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.972.932.94MIN: 2.8 / MAX: 3.43MIN: 2.78 / MAX: 4.11MIN: 2.79 / MAX: 3.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0123246810SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 38.798.648.69MIN: 8.52 / MAX: 9.56MIN: 8.42 / MAX: 13.4MIN: 8.49 / MAX: 9.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet123246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 36.586.536.57MIN: 6.37 / MAX: 7.69MIN: 6.37 / MAX: 7.64MIN: 6.42 / MAX: 7.231. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 37.317.287.34MIN: 7.1 / MAX: 9.34MIN: 7.02 / MAX: 8.28MIN: 7.06 / MAX: 8.581. (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-v3123246810SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 36.826.786.86MIN: 6.6 / MAX: 8.32MIN: 6.64 / MAX: 12.14MIN: 6.67 / MAX: 9.171. (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-v2123246810SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 37.287.247.33MIN: 7.03 / MAX: 9.71MIN: 6.86 / MAX: 8.46MIN: 7.03 / MAX: 12.261. (CXX) g++ options: -O3 -rdynamic -lgomp -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: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet12348121620SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 316.4016.3916.43MIN: 16.11 / MAX: 17.71MIN: 15.99 / MAX: 17.08MIN: 16.01 / MAX: 17.71. (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: 10012314K28K42K56K70KSE +/- 143.57, N = 3SE +/- 97.00, N = 3SE +/- 154.26, N = 36379763525637001. (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_ica1231224364860SE +/- 0.37, N = 3SE +/- 0.64, N = 3SE +/- 0.31, N = 353.5352.5854.33

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: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet501233691215SE +/- 0.24, N = 3SE +/- 0.39, N = 3SE +/- 0.32, N = 311.7911.8511.92MIN: 10.07 / MAX: 37.47MIN: 10.05 / MAX: 35.67MIN: 10.07 / MAX: 40.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet123714212835SE +/- 0.27, N = 3SE +/- 0.29, N = 3SE +/- 0.13, N = 328.1228.6628.36MIN: 25.02 / MAX: 62.51MIN: 24.96 / MAX: 55.15MIN: 24.67 / MAX: 55.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1612320406080100SE +/- 0.26, N = 3SE +/- 0.21, N = 3SE +/- 0.31, N = 380.3380.6880.10MIN: 70.05 / MAX: 121.13MIN: 70.8 / MAX: 121.57MIN: 70.02 / MAX: 120.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet123246810SE +/- 0.10, N = 3SE +/- 0.38, N = 3SE +/- 0.41, N = 38.638.258.41MIN: 6.94 / MAX: 36.76MIN: 6.93 / MAX: 44.59MIN: 6.92 / MAX: 34.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1230.20250.4050.60750.811.0125SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.900.890.89MIN: 0.88 / MAX: 1.78MIN: 0.88 / MAX: 1.08MIN: 0.87 / MAX: 1.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b01233691215SE +/- 0.25, N = 3SE +/- 0.27, N = 3SE +/- 0.07, N = 311.9312.2012.25MIN: 10.02 / MAX: 43.66MIN: 10.04 / MAX: 36.91MIN: 9.98 / MAX: 38.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet1230.9991.9982.9973.9964.995SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 34.444.444.44MIN: 4.29 / MAX: 5.12MIN: 4.29 / MAX: 4.8MIN: 4.29 / MAX: 9.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21230.721.442.162.883.6SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.203.203.20MIN: 3.14 / MAX: 3.51MIN: 3.14 / MAX: 4.02MIN: 3.15 / MAX: 4.671. (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-v3123246810SE +/- 0.06, N = 3SE +/- 0.24, N = 3SE +/- 0.18, N = 38.358.238.46MIN: 7 / MAX: 36MIN: 7 / MAX: 39.95MIN: 7 / MAX: 32.091. (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-v21230.97881.95762.93643.91524.894SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 34.354.354.35MIN: 4.18 / MAX: 4.71MIN: 4.16 / MAX: 4.71MIN: 4.18 / MAX: 4.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet1233691215SE +/- 0.66, N = 3SE +/- 0.43, N = 3SE +/- 0.43, N = 39.609.7910.22MIN: 7.7 / MAX: 35.6MIN: 7.28 / MAX: 27.36MIN: 6.48 / MAX: 44.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet123246810SE +/- 0.08, N = 3SE +/- 0.09, N = 3SE +/- 0.02, N = 36.226.276.13MIN: 5.94 / MAX: 30.39MIN: 5.92 / MAX: 16.22MIN: 5.93 / MAX: 9.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.3240.6480.9721.2961.62SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.441.431.43

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

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 315.8215.8615.71

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA123246810SE +/- 0.058, N = 3SE +/- 0.032, N = 3SE +/- 0.029, N = 38.1198.2438.1871. (CC) gcc options: -std=c99 -O3 -lm -lpthread

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine12320K40K60K80K100KSE +/- 411.46, N = 3SE +/- 111.80, N = 3SE +/- 308.33, N = 383303.7683979.8883465.841. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp


Phoronix Test Suite v10.8.1