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&sor.

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 WKdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbyte: Dhrystone 2couchdb: 100 - 1000 - 24gromacs: Water Benchmarkcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: AlexNet - CPU - 1000caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200caffe: GoogleNet - CPU - 1000ncnn: 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-tinyncnn: Vulkan GPU - squeezenetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyhint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregression12315.81583303.755210131131.0768.11946013391.3108.1542.52963797127209634925158702318121158536716.4017.467.286.827.316.588.792.9717.7641.1013.8911.4923.3727.886.229.604.358.353.204.4411.930.908.6380.333.8328.1211.7921.70387229070.9765253.5344.9819.751.4415.86083979.875954596131.4288.24345773092.9107.5562.52863525127488636843158891319129158989016.3917.247.246.787.286.538.642.9317.7542.3013.9411.5623.5528.206.279.794.358.233.204.4412.200.898.2580.683.8228.6611.8521.32387185459.4290652.5845.9119.691.4315.70583465.842136051131.5088.18746091339.8108.1062.52763700127527638848159254317413158675716.4317.227.336.867.346.578.692.9417.7841.3313.9611.5323.5328.076.1310.224.358.463.204.4412.250.898.4180.103.8128.3611.9221.05388597973.0679354.3345.8919.671.43OpenBenchmarking.org

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics31248121620SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.7115.8215.86

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine23120K40K60K80K100KSE +/- 111.80, N = 3SE +/- 308.33, N = 3SE +/- 411.46, N = 383979.8883465.8483303.761. (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 Search123306090120150SE +/- 0.15, N = 3SE +/- 0.06, N = 3SE +/- 0.20, N = 3131.08131.43131.511. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA132246810SE +/- 0.058, N = 3SE +/- 0.029, N = 3SE +/- 0.032, N = 38.1198.1878.2431. (CC) gcc options: -std=c99 -O3 -lm -lpthread

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 231210M20M30M40M50MSE +/- 715922.77, N = 3SE +/- 536306.21, N = 6SE +/- 211256.10, N = 346091339.846013391.345773092.9

Apache CouchDB

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

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 2423120406080100SE +/- 0.44, N = 3SE +/- 0.15, N = 3SE +/- 0.55, N = 3107.56108.11108.151. (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 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

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10023114K28K42K56K70KSE +/- 97.00, N = 3SE +/- 154.26, N = 3SE +/- 143.57, N = 36352563700637971. (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: 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

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: 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

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 200

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 20031270K140K210K280K350KSE +/- 800.55, N = 3SE +/- 136.00, N = 3SE +/- 472.70, N = 33174133181213191291. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Caffe

Model: GoogleNet - Acceleration: CPU - Iterations: 1000

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 1000132300K600K900K1200K1500KSE +/- 339.92, N = 3SE +/- 2136.95, N = 3SE +/- 2111.28, N = 31585367158675715898901. (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: squeezenet21348121620SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.13, N = 316.3916.4016.43MIN: 15.99 / MAX: 17.08MIN: 16.11 / MAX: 17.71MIN: 16.01 / MAX: 17.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet32148121620SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 317.2217.2417.46MIN: 16.94 / MAX: 18.34MIN: 16.79 / MAX: 18.18MIN: 16.88 / MAX: 98.561. (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-v2213246810SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 37.247.287.33MIN: 6.86 / MAX: 8.46MIN: 7.03 / MAX: 9.71MIN: 7.03 / MAX: 12.261. (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-v3213246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 36.786.826.86MIN: 6.64 / MAX: 12.14MIN: 6.6 / MAX: 8.32MIN: 6.67 / MAX: 9.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2213246810SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 37.287.317.34MIN: 7.02 / MAX: 8.28MIN: 7.1 / MAX: 9.34MIN: 7.06 / MAX: 8.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet231246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 36.536.576.58MIN: 6.37 / MAX: 7.64MIN: 6.42 / MAX: 7.23MIN: 6.37 / MAX: 7.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b0231246810SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 38.648.698.79MIN: 8.42 / MAX: 13.4MIN: 8.49 / MAX: 9.24MIN: 8.52 / MAX: 9.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface2310.66831.33662.00492.67323.3415SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.932.942.97MIN: 2.78 / MAX: 4.11MIN: 2.79 / MAX: 3.29MIN: 2.8 / MAX: 3.431. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet21348121620SE +/- 0.33, N = 3SE +/- 0.22, N = 3SE +/- 0.34, N = 317.7517.7617.78MIN: 16.84 / MAX: 18.95MIN: 17.14 / MAX: 19.41MIN: 17.02 / MAX: 54.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg161321020304050SE +/- 0.19, N = 3SE +/- 0.34, N = 3SE +/- 0.52, N = 341.1041.3342.30MIN: 40.58 / MAX: 42.83MIN: 40.29 / MAX: 125.07MIN: 40.29 / MAX: 44.441. (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: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet1323691215SE +/- 0.07, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 311.4911.5311.56MIN: 11.33 / MAX: 12MIN: 11.25 / MAX: 15.96MIN: 11.26 / MAX: 12.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50132612182430SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 323.3723.5323.55MIN: 23.04 / MAX: 24.13MIN: 23.13 / MAX: 25.63MIN: 23.36 / MAX: 28.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny132714212835SE +/- 0.04, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 327.8828.0728.20MIN: 27.63 / MAX: 32.81MIN: 27.72 / MAX: 29.15MIN: 27.77 / MAX: 40.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet312246810SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.09, N = 36.136.226.27MIN: 5.93 / MAX: 9.53MIN: 5.94 / MAX: 30.39MIN: 5.92 / MAX: 16.221. (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-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-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3213246810SE +/- 0.24, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 38.238.358.46MIN: 7 / MAX: 39.95MIN: 7 / MAX: 36MIN: 7 / MAX: 32.091. (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 - 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: 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: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface2310.20250.4050.60750.811.0125SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.890.890.90MIN: 0.88 / MAX: 1.08MIN: 0.87 / MAX: 1.05MIN: 0.88 / MAX: 1.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet231246810SE +/- 0.38, N = 3SE +/- 0.41, N = 3SE +/- 0.10, N = 38.258.418.63MIN: 6.93 / MAX: 44.59MIN: 6.92 / MAX: 34.2MIN: 6.94 / MAX: 36.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1631220406080100SE +/- 0.31, N = 3SE +/- 0.26, N = 3SE +/- 0.21, N = 380.1080.3380.68MIN: 70.02 / MAX: 120.26MIN: 70.05 / MAX: 121.13MIN: 70.8 / MAX: 121.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet183210.86181.72362.58543.44724.309SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 33.813.823.83MIN: 3.74 / MAX: 4.33MIN: 3.75 / MAX: 4.28MIN: 3.75 / MAX: 4.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet132714212835SE +/- 0.27, N = 3SE +/- 0.13, N = 3SE +/- 0.29, N = 328.1228.3628.66MIN: 25.02 / MAX: 62.51MIN: 24.67 / MAX: 55.99MIN: 24.96 / MAX: 55.151. (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: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny321510152025SE +/- 0.29, N = 3SE +/- 0.10, N = 3SE +/- 0.02, N = 321.0521.3221.70MIN: 11.08 / MAX: 40.17MIN: 13.93 / MAX: 46.1MIN: 12.05 / MAX: 42.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT31280M160M240M320M400MSE +/- 333985.70, N = 3SE +/- 224641.82, N = 3SE +/- 145428.42, N = 3388597973.07387229070.98387185459.431. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica2131224364860SE +/- 0.64, N = 3SE +/- 0.37, N = 3SE +/- 0.31, N = 352.5853.5354.33

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1321020304050SE +/- 0.32, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 344.9845.8945.91

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm321510152025SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 319.6719.6919.75

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression2310.3240.6480.9721.2961.62SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.431.431.44


Phoronix Test Suite v10.8.5