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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2009301-FI-7100INTEL84
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September 30 2020
  6 Hours, 9 Minutes
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September 30 2020
  5 Hours, 45 Minutes
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September 30 2020
  6 Hours, 37 Minutes
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1

Compiler Notes: --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Python Notes: Python 2.7.17rc1 + Python 3.7.5
Security Notes: 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

2

3

Processor: Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads), Motherboard: Gigabyte B250M-DS3H-CF (F9 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + B250, Memory: 8GB, Disk: 250GB Western Digital WDS250G1B0A-, Graphics: Gigabyte Intel HD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc1daily20200822-generic (x86_64) 20200821, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080

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

123Result OverviewPhoronix Test Suite100%100%101%101%102%Timed MAFFT AlignmentGROMACSBYTE Unix BenchmarkFFTEHierarchical INTegrationMlpack BenchmarkKeyDBRNNoiseNCNNRealSR-NCNNTimed HMMer SearchDolfynCaffeTNN

7100 Intel Linux 2020gromacs: Water Benchmarkvkfft: mlpack: scikit_qdahint: FLOATkeydb: realsr-ncnn: 4x - Noncnn: 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 - squeezenetcaffe: GoogleNet - CPU - 100ncnn: 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 - squeezenetbyte: Dhrystone 2hmmer: Pfam Database Searchmlpack: scikit_linearridgeregressioncaffe: AlexNet - CPU - 100mlpack: scikit_icarnnoise: tnn: CPU - MobileNet v2tnn: CPU - SqueezeNet v1.1dolfyn: Computational Fluid Dynamicsmlpack: scikit_svmmafft: Multiple Sequence Alignment - LSU RNAffte: N=256, 3D Complex FFT Routine1230.3071044112.08385662243.57431175725.28267.25287.5578.2144.5532.17216.4037.313.4226.9113.299.9814.4013.0541.8146.9316238858.1168.0726.2830.88113.6731.682.6615.129.746.319.1610.5442.7935.8237888403.1116.0307.037282667.8127.777357.337343.95822.19217.0714.82311406.6990986260.308112.22383181946.27207174840.06267.12287.5378.1644.7432.10216.2137.243.5026.8313.249.0914.3313.0341.5146.8216236058.1168.0426.4430.89113.3231.652.6415.159.716.359.1710.5342.7935.8938195936.3116.1027.187308667.7327.915356.920344.13422.18317.0914.60811363.6534958240.3101038113.67384848414.20687175860.04266.67687.4978.1844.5132.09216.8237.243.5226.8313.259.1014.2713.0442.0446.8716239758.1068.1426.3930.90113.4231.722.6415.139.696.369.1710.5442.8035.9038223781.6116.1297.077310768.1227.858356.873343.98022.20317.0614.65411324.233085833OpenBenchmarking.org

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark12312345Min: 0.3 / Avg: 0.31 / Max: 0.31Min: 0.31 / Avg: 0.31 / Max: 0.31Min: 0.31 / Avg: 0.31 / Max: 0.311. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

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

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda123306090120150SE +/- 0.32, N = 3SE +/- 0.19, N = 3SE +/- 1.37, N = 12112.08112.22113.67
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda12320406080100Min: 111.75 / Avg: 112.08 / Max: 112.71Min: 111.89 / Avg: 112.22 / Max: 112.56Min: 111.35 / Avg: 113.67 / Max: 128.63

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12370M140M210M280M350MMin: 383969703.92 / Avg: 385662243.57 / Max: 388704329.06Min: 380794388.64 / Avg: 383181946.27 / Max: 385660341.49Min: 383830786.38 / Avg: 384848414.21 / Max: 385992334.051. (CC) gcc options: -O3 -march=native -lm

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612330K60K90K120K150KMin: 151647.45 / Avg: 175725.28 / Max: 180720.27Min: 151408.79 / Avg: 174840.06 / Max: 179755.53Min: 150908.59 / Avg: 175860.04 / Max: 181026.981. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: No12350100150200250Min: 267.11 / Avg: 267.25 / Max: 267.4Min: 267.04 / Avg: 267.12 / Max: 267.26Min: 266.09 / Avg: 266.68 / Max: 267.01

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: yolov4-tiny12320406080100Min: 87.55 / Avg: 87.55 / Max: 87.55Min: 87.45 / Avg: 87.53 / Max: 87.65Min: 87.43 / Avg: 87.49 / Max: 87.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet501231530456075Min: 78.19 / Avg: 78.21 / Max: 78.24Min: 78.16 / Avg: 78.16 / Max: 78.17Min: 78.14 / Avg: 78.18 / Max: 78.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: alexnet123918273645Min: 44.49 / Avg: 44.55 / Max: 44.65Min: 44.14 / Avg: 44.74 / Max: 45.23Min: 44.15 / Avg: 44.51 / Max: 44.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: resnet18123714212835Min: 32.13 / Avg: 32.17 / Max: 32.21Min: 32.07 / Avg: 32.1 / Max: 32.14Min: 32.08 / Avg: 32.09 / Max: 32.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: vgg161234080120160200Min: 215.87 / Avg: 216.4 / Max: 216.89Min: 214.75 / Avg: 216.21 / Max: 217.17Min: 216.54 / Avg: 216.82 / Max: 217.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: googlenet123816243240Min: 37.26 / Avg: 37.31 / Max: 37.39Min: 37.23 / Avg: 37.24 / Max: 37.24Min: 37.23 / Avg: 37.24 / Max: 37.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: blazeface123246810Min: 2.65 / Avg: 3.42 / Max: 4.64Min: 2.88 / Avg: 3.5 / Max: 4.39Min: 2.9 / Avg: 3.52 / Max: 4.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: efficientnet-b0123612182430Min: 26.85 / Avg: 26.91 / Max: 26.98Min: 26.81 / Avg: 26.83 / Max: 26.86Min: 26.81 / Avg: 26.83 / Max: 26.871. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mnasnet12348121620Min: 13.26 / Avg: 13.29 / Max: 13.33Min: 13.22 / Avg: 13.24 / Max: 13.25Min: 13.23 / Avg: 13.25 / Max: 13.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: shufflenet-v21233691215Min: 9.08 / Avg: 9.98 / Max: 11.75Min: 9.07 / Avg: 9.09 / Max: 9.11Min: 9.1 / Avg: 9.1 / Max: 9.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v3-v3 - Model: mobilenet-v312348121620Min: 14.36 / Avg: 14.4 / Max: 14.45Min: 14.25 / Avg: 14.33 / Max: 14.42Min: 14.26 / Avg: 14.27 / Max: 14.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU-v2-v2 - Model: mobilenet-v212348121620Min: 13.01 / Avg: 13.05 / Max: 13.1Min: 13 / Avg: 13.03 / Max: 13.04Min: 13.01 / Avg: 13.04 / Max: 13.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: mobilenet123918273645Min: 41.61 / Avg: 41.81 / Max: 42.02Min: 41.3 / Avg: 41.51 / Max: 41.65Min: 41.15 / Avg: 42.04 / Max: 42.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: Vulkan GPU - Model: squeezenet1231020304050Min: 46.76 / Avg: 46.93 / Max: 47.09Min: 46.68 / Avg: 46.82 / Max: 47.08Min: 46.74 / Avg: 46.87 / Max: 47.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 10012330K60K90K120K150KMin: 162196 / Avg: 162387.67 / Max: 162486Min: 162286 / Avg: 162360 / Max: 162456Min: 162272 / Avg: 162397.33 / Max: 1625161. (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

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: yolov4-tiny1231122334455Min: 58.03 / Avg: 58.11 / Max: 58.19Min: 58.08 / Avg: 58.11 / Max: 58.16Min: 58.07 / Avg: 58.1 / Max: 58.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet501231326395265Min: 67.99 / Avg: 68.07 / Max: 68.19Min: 68.02 / Avg: 68.04 / Max: 68.07Min: 68.07 / Avg: 68.14 / Max: 68.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnet123612182430Min: 26.26 / Avg: 26.28 / Max: 26.3Min: 26.39 / Avg: 26.44 / Max: 26.51Min: 26.38 / Avg: 26.39 / Max: 26.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18123714212835Min: 30.84 / Avg: 30.88 / Max: 30.92Min: 30.79 / Avg: 30.89 / Max: 30.97Min: 30.83 / Avg: 30.9 / Max: 30.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg1612320406080100Min: 113.06 / Avg: 113.67 / Max: 114.74Min: 113.24 / Avg: 113.32 / Max: 113.44Min: 113.36 / Avg: 113.42 / Max: 113.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet123714212835Min: 31.64 / Avg: 31.68 / Max: 31.73Min: 31.64 / Avg: 31.65 / Max: 31.66Min: 31.69 / Avg: 31.72 / Max: 31.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazeface123246810Min: 2.65 / Avg: 2.66 / Max: 2.67Min: 2.64 / Avg: 2.64 / Max: 2.65Min: 2.64 / Avg: 2.64 / Max: 2.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: efficientnet-b012348121620Min: 15.1 / Avg: 15.12 / Max: 15.13Min: 15.12 / Avg: 15.15 / Max: 15.21Min: 15.12 / Avg: 15.13 / Max: 15.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnet1233691215Min: 9.71 / Avg: 9.74 / Max: 9.76Min: 9.71 / Avg: 9.71 / Max: 9.71Min: 9.68 / Avg: 9.69 / Max: 9.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: shufflenet-v21233691215Min: 6.3 / Avg: 6.31 / Max: 6.32Min: 6.34 / Avg: 6.35 / Max: 6.36Min: 6.33 / Avg: 6.36 / Max: 6.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v3-v3 - Model: mobilenet-v31233691215Min: 9.13 / Avg: 9.16 / Max: 9.17Min: 9.13 / Avg: 9.17 / Max: 9.19Min: 9.14 / Avg: 9.17 / Max: 9.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU-v2-v2 - Model: mobilenet-v21233691215Min: 10.51 / Avg: 10.54 / Max: 10.56Min: 10.49 / Avg: 10.53 / Max: 10.56Min: 10.51 / Avg: 10.54 / Max: 10.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet123918273645Min: 42.74 / Avg: 42.79 / Max: 42.84Min: 42.74 / Avg: 42.79 / Max: 42.83Min: 42.78 / Avg: 42.8 / Max: 42.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet123816243240Min: 35.8 / Avg: 35.82 / Max: 35.84Min: 35.85 / Avg: 35.89 / Max: 35.94Min: 35.84 / Avg: 35.9 / Max: 35.941. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21237M14M21M28M35MMin: 37784666.2 / Avg: 37888403.1 / Max: 38044170Min: 38167708.6 / Avg: 38195936.3 / Max: 38213467.8Min: 38199701.9 / Avg: 38223781.6 / Max: 38245072.8

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 115.99 / Avg: 116.03 / Max: 116.07Min: 116.02 / Avg: 116.1 / Max: 116.19Min: 116.05 / Avg: 116.13 / Max: 116.231. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression123246810SE +/- 0.08, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 37.037.187.07
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1233691215Min: 6.87 / Avg: 7.03 / Max: 7.13Min: 7.09 / Avg: 7.18 / Max: 7.26Min: 6.93 / Avg: 7.07 / Max: 7.19

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 10012313K26K39K52K65KMin: 72707 / Avg: 72826.33 / Max: 72913Min: 72832 / Avg: 73086 / Max: 73515Min: 72971 / Avg: 73107.33 / Max: 733361. (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

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231530456075SE +/- 0.38, N = 3SE +/- 0.40, N = 3SE +/- 0.20, N = 367.8167.7368.12
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231326395265Min: 67.06 / Avg: 67.81 / Max: 68.25Min: 66.96 / Avg: 67.73 / Max: 68.31Min: 67.74 / Avg: 68.12 / Max: 68.39

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
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123612182430Min: 27.64 / Avg: 27.78 / Max: 27.94Min: 27.57 / Avg: 27.91 / Max: 28.2Min: 27.63 / Avg: 27.86 / Max: 28.091. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

TNN

TNN is an open-source deep learning reasoning framework developed by Tencent. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: MobileNet v212360120180240300Min: 356.84 / Avg: 357.34 / Max: 357.91Min: 356.73 / Avg: 356.92 / Max: 357.12Min: 356.65 / Avg: 356.87 / Max: 357.081. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

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
OpenBenchmarking.orgms, Fewer Is BetterTNN 0.2.3Target: CPU - Model: SqueezeNet v1.112360120180240300Min: 343.89 / Avg: 343.96 / Max: 344.08Min: 344.05 / Avg: 344.13 / Max: 344.2Min: 343.96 / Avg: 343.98 / Max: 344.011. (CXX) g++ options: -fopenmp -pthread -fvisibility=hidden -O3 -rdynamic -ldl

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 322.1922.1822.20
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics123510152025Min: 22.18 / Avg: 22.19 / Max: 22.2Min: 22.14 / Avg: 22.18 / Max: 22.22Min: 22.2 / Avg: 22.2 / Max: 22.21

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm12348121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 317.0717.0917.06
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm12348121620Min: 17.06 / Avg: 17.07 / Max: 17.07Min: 17.07 / Avg: 17.09 / Max: 17.11Min: 17.05 / Avg: 17.06 / Max: 17.06

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620Min: 14.57 / Avg: 14.82 / Max: 15.17Min: 14.53 / Avg: 14.61 / Max: 14.72Min: 14.52 / Avg: 14.65 / Max: 14.811. (CC) gcc options: -std=c99 -O3 -lm -lpthread

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

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
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1232K4K6K8K10KMin: 11380.65 / Avg: 11406.7 / Max: 11422.88Min: 11347.79 / Avg: 11363.65 / Max: 11385.87Min: 11282.94 / Avg: 11324.23 / Max: 11357.151. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

1

Compiler Notes: --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Python Notes: Python 2.7.17rc1 + Python 3.7.5
Security Notes: 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

Testing initiated at 30 September 2020 09:23 by user phoronix.

2

Compiler Notes: --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Python Notes: Python 2.7.17rc1 + Python 3.7.5
Security Notes: 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

Testing initiated at 30 September 2020 12:32 by user phoronix.

3

Processor: Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads), Motherboard: Gigabyte B250M-DS3H-CF (F9 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + B250, Memory: 8GB, Disk: 250GB Western Digital WDS250G1B0A-, Graphics: Gigabyte Intel HD 630 3GB (1100MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Realtek RTL8111/8168/8411

OS: Ubuntu 19.10, Kernel: 5.9.0-050900rc1daily20200822-generic (x86_64) 20200821, Desktop: GNOME Shell 3.34.1, Display Server: X Server 1.20.5, Display Driver: modesetting 1.20.5, OpenGL: 4.5 Mesa 19.2.8, Compiler: GCC 9.2.1 20191008, File-System: ext4, Screen Resolution: 1920x1080

Compiler Notes: --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 Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0xd6
Python Notes: Python 2.7.17rc1 + Python 3.7.5
Security Notes: 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

Testing initiated at 30 September 2020 15:28 by user phoronix.