7100 Intel Linux 2020

Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 19.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009301-FI-7100INTEL84&grt.

7100 Intel Linux 2020ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads)Gigabyte B250M-DS3H-CF (F9 BIOS)Intel Xeon E3-1200 v6/7th + B2508GB250GB Western Digital WDS250G1B0A-Gigabyte Intel HD 630 3GB (1100MHz)Realtek ALC887-VDVA2431Realtek RTL8111/8168/8411Ubuntu 19.105.9.0-050900rc1daily20200822-generic (x86_64) 20200821GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.54.5 Mesa 19.2.8GCC 9.2.1 20191008ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-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: intel_pstate powersave - CPU Microcode: 0xd6Python Details- Python 2.7.17rc1 + Python 3.7.5Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

7100 Intel Linux 2020byte: Dhrystone 2caffe: AlexNet - CPU - 100caffe: GoogleNet - CPU - 100dolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinegromacs: Water Benchmarkhint: FLOATkeydb: mlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionncnn: 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-tinyrealsr-ncnn: 4x - Nornnoise: hmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAtnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1vkfft: 12337888403.17282616238822.19211406.6990986260.307385662243.57431175725.2867.81112.0817.077.0335.8242.7910.549.166.319.7415.122.6631.68113.6730.8826.2868.0758.1146.9341.8113.0514.409.9813.2926.913.4237.31216.4032.1744.5578.2187.55267.25227.777116.03014.823357.337343.958104438195936.37308616236022.18311363.6534958240.308383181946.27207174840.0667.73112.2217.097.1835.8942.7910.539.176.359.7115.152.6431.65113.3230.8926.4468.0458.1146.8241.5113.0314.339.0913.2426.833.5037.24216.2132.1044.7478.1687.53267.12227.915116.10214.608356.920344.13438223781.67310716239722.20311324.2330858330.310384848414.20687175860.0468.12113.6717.067.0735.9042.8010.549.176.369.6915.132.6431.72113.4230.9026.3968.1458.1046.8742.0413.0414.279.1013.2526.833.5237.24216.8232.0944.5178.1887.49266.67627.858116.12914.654356.873343.9801038OpenBenchmarking.org

BYTE Unix Benchmark

Computational Test: Dhrystone 2

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21238M16M24M32M40MSE +/- 79300.90, N = 3SE +/- 14251.11, N = 3SE +/- 13171.45, N = 337888403.138195936.338223781.6

Caffe

Model: AlexNet - Acceleration: CPU - Iterations: 100

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10012316K32K48K64K80KSE +/- 61.67, N = 3SE +/- 215.71, N = 3SE +/- 115.04, N = 37282673086731071. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -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 +/- 95.84, N = 3SE +/- 50.29, N = 3SE +/- 70.52, N = 31623881623601623971. (CXX) g++ options: -fPIC -O3 -rdynamic -lboost_system -lboost_thread -lboost_filesystem -lboost_chrono -lboost_date_time -lboost_atomic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Dolfyn

Computational Fluid Dynamics

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 322.1922.1822.20

FFTE

N=256, 3D Complex FFT Routine

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1232K4K6K8K10KSE +/- 13.15, N = 3SE +/- 11.44, N = 3SE +/- 21.83, N = 311406.7011363.6511324.231. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

GROMACS

Water Benchmark

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark1230.06980.13960.20940.27920.349SE +/- 0.004, N = 3SE +/- 0.002, N = 3SE +/- 0.000, N = 30.3070.3080.3101. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Hierarchical INTegration

Test: FLOAT

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12380M160M240M320M400MSE +/- 1524262.04, N = 3SE +/- 1405413.69, N = 3SE +/- 627172.05, N = 3385662243.57383181946.27384848414.211. (CC) gcc options: -O3 -march=native -lm

KeyDB

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612340K80K120K160K200KSE +/- 2106.88, N = 13SE +/- 1769.06, N = 15SE +/- 2200.93, N = 13175725.28174840.06175860.041. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231530456075SE +/- 0.38, N = 3SE +/- 0.40, N = 3SE +/- 0.20, N = 367.8167.7368.12

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda123306090120150SE +/- 0.32, N = 3SE +/- 0.19, N = 3SE +/- 1.37, N = 12112.08112.22113.67

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm12348121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 317.0717.0917.06

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression123246810SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 37.037.187.07

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123816243240SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 335.8235.8935.90MIN: 35.73 / MAX: 37.56MIN: 35.77 / MAX: 46.15MIN: 35.78 / MAX: 46.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet1231020304050SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 342.7942.7942.80MIN: 42.67 / MAX: 44.49MIN: 42.66 / MAX: 52.87MIN: 42.69 / MAX: 45.021. (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-v21233691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 310.5410.5310.54MIN: 10.46 / MAX: 12.34MIN: 10.44 / MAX: 12.04MIN: 10.44 / MAX: 12.231. (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-v31233691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 39.169.179.17MIN: 9.08 / MAX: 10.75MIN: 9.09 / MAX: 11.15MIN: 9.08 / MAX: 19.61. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v2123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.316.356.36MIN: 6.27 / MAX: 6.46MIN: 6.3 / MAX: 6.4MIN: 6.3 / MAX: 10.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1233691215SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 39.749.719.69MIN: 9.67 / MAX: 20.43MIN: 9.67 / MAX: 11.31MIN: 9.65 / MAX: 9.851. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b012348121620SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 315.1215.1515.13MIN: 15.06 / MAX: 17.79MIN: 15.08 / MAX: 25.24MIN: 15.08 / MAX: 17.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface1230.59851.1971.79552.3942.9925SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.662.642.64MIN: 2.63 / MAX: 3.67MIN: 2.63 / MAX: 2.71MIN: 2.6 / MAX: 4.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123714212835SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 331.6831.6531.72MIN: 31.55 / MAX: 41.9MIN: 31.54 / MAX: 33.61MIN: 31.61 / MAX: 41.81. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16123306090120150SE +/- 0.54, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3113.67113.32113.42MIN: 112.89 / MAX: 123.57MIN: 112.92 / MAX: 169.1MIN: 113.25 / MAX: 123.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123714212835SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 330.8830.8930.90MIN: 30.74 / MAX: 41.39MIN: 30.71 / MAX: 41.09MIN: 30.75 / MAX: 41.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123612182430SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 326.2826.4426.39MIN: 26.18 / MAX: 28.11MIN: 26.3 / MAX: 36.57MIN: 26.32 / MAX: 27.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231530456075SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 368.0768.0468.14MIN: 67.84 / MAX: 78.56MIN: 67.89 / MAX: 78.05MIN: 67.92 / MAX: 77.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1231326395265SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 358.1158.1158.10MIN: 57.94 / MAX: 68.82MIN: 57.97 / MAX: 60.52MIN: 57.95 / MAX: 68.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet1231122334455SE +/- 0.10, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 346.9346.8246.87MIN: 46.39 / MAX: 47.23MIN: 46.37 / MAX: 50.88MIN: 45.96 / MAX: 54.381. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet1231020304050SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.48, N = 341.8141.5142.04MIN: 38.84 / MAX: 56.1MIN: 39.65 / MAX: 49.34MIN: 38.67 / MAX: 49.661. (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-v21233691215SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 313.0513.0313.04MIN: 12.87 / MAX: 13.28MIN: 12.89 / MAX: 13.48MIN: 12.84 / MAX: 13.581. (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-v312348121620SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.00, N = 314.4014.3314.27MIN: 14.12 / MAX: 16.38MIN: 14 / MAX: 17.8MIN: 14 / MAX: 14.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21233691215SE +/- 0.88, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 39.989.099.10MIN: 9 / MAX: 13.14MIN: 8.8 / MAX: 9.93MIN: 8.96 / MAX: 9.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 313.2913.2413.25MIN: 12.42 / MAX: 13.37MIN: 13.04 / MAX: 14.04MIN: 13.17 / MAX: 13.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0123612182430SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 326.9126.8326.83MIN: 26.55 / MAX: 27.04MIN: 26.12 / MAX: 27.17MIN: 26.54 / MAX: 26.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface1230.7921.5842.3763.1683.96SE +/- 0.62, N = 3SE +/- 0.46, N = 3SE +/- 0.47, N = 33.423.503.52MIN: 2.53 / MAX: 5.02MIN: 2.64 / MAX: 9.18MIN: 2.67 / MAX: 4.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet123918273645SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 337.3137.2437.24MIN: 36.53 / MAX: 38.13MIN: 36.57 / MAX: 37.35MIN: 36.96 / MAX: 37.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg1612350100150200250SE +/- 0.29, N = 3SE +/- 0.74, N = 3SE +/- 0.22, N = 3216.40216.21216.82MIN: 215.02 / MAX: 218.01MIN: 213.84 / MAX: 218.77MIN: 215.5 / MAX: 218.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18123714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 332.1732.1032.09MIN: 31.81 / MAX: 32.33MIN: 31.84 / MAX: 32.24MIN: 31.65 / MAX: 33.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet1231020304050SE +/- 0.05, N = 3SE +/- 0.32, N = 3SE +/- 0.23, N = 344.5544.7444.51MIN: 43.49 / MAX: 45.99MIN: 43.06 / MAX: 47.41MIN: 43.33 / MAX: 46.581. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet5012320406080100SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 378.2178.1678.18MIN: 77.62 / MAX: 79.05MIN: 77.82 / MAX: 78.38MIN: 77.55 / MAX: 79.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny12320406080100SE +/- 0.00, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 387.5587.5387.49MIN: 74.31 / MAX: 109.77MIN: 86.83 / MAX: 93.34MIN: 76.73 / MAX: 95.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

RealSR-NCNN

Scale: 4x - TAA: No

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No12360120180240300SE +/- 0.08, N = 3SE +/- 0.07, N = 3SE +/- 0.29, N = 3267.25267.12266.68

RNNoise

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123714212835SE +/- 0.09, N = 3SE +/- 0.18, N = 3SE +/- 0.13, N = 327.7827.9227.861. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search123306090120150SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3116.03116.10116.131. (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 RNA12348121620SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.08, N = 314.8214.6114.651. (CC) gcc options: -std=c99 -O3 -lm -lpthread

TNN

Target: CPU - Model: MobileNet v2

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212380160240320400SE +/- 0.31, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 3357.34356.92356.87MIN: 356.32 / MAX: 367.45MIN: 356.16 / MAX: 367.34MIN: 355.97 / MAX: 364.131. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

TNN

Target: CPU - Model: SqueezeNet v1.1

OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112370140210280350SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3343.96344.13343.98MIN: 343.32 / MAX: 345.19MIN: 343.67 / MAX: 346.97MIN: 343.55 / MAX: 344.791. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

VkFFT

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-2913200400600800100010441038

Phoronix Test Suite v10.8.4