Intel Core i7-5600U testing with a LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.04 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 2010013-FI-BROADWELL45 broadwell 5600U Linux - Phoronix Test Suite broadwell 5600U Linux Intel Core i7-5600U testing with a LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2010013-FI-BROADWELL45&grw&sor .
broadwell 5600U Linux Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver OpenGL OpenCL Vulkan Compiler File-System Screen Resolution 1 2 3 Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads) LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS) Intel Broadwell-U-OPI 8GB 128GB SAMSUNG MZNTE128 Intel HD 5500 3GB (950MHz) Intel Broadwell-U Audio Intel I218-LM + Intel 7265 Ubuntu 20.04 5.9.0-rc5-14sep-patch (x86_64) 20200914 GNOME Shell 3.36.4 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.0.4 OpenCL 2.1 1.2.131 GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org Compiler 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: intel_cpufreq ondemand - CPU Microcode: 0x2f Python Details - Python 3.8.2 Security 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: Mitigation of Clear buffers; SMT vulnerable
broadwell 5600U Linux hint: FLOAT hmmer: Pfam Database Search mafft: Multiple Sequence Alignment - LSU RNA dolfyn: Computational Fluid Dynamics rnnoise: caffe: AlexNet - CPU - 100 caffe: GoogleNet - CPU - 100 ncnn: CPU - squeezenet ncnn: CPU - mobilenet ncnn: CPU-v2-v2 - mobilenet-v2 ncnn: CPU-v3-v3 - mobilenet-v3 ncnn: CPU - shufflenet-v2 ncnn: CPU - mnasnet ncnn: CPU - efficientnet-b0 ncnn: CPU - blazeface ncnn: CPU - googlenet ncnn: CPU - vgg16 ncnn: CPU - resnet18 ncnn: CPU - alexnet ncnn: CPU - resnet50 ncnn: CPU - yolov4-tiny ncnn: Vulkan GPU - squeezenet ncnn: Vulkan GPU - mobilenet ncnn: Vulkan GPU-v2-v2 - mobilenet-v2 ncnn: Vulkan GPU-v3-v3 - mobilenet-v3 ncnn: Vulkan GPU - shufflenet-v2 ncnn: Vulkan GPU - mnasnet ncnn: Vulkan GPU - efficientnet-b0 ncnn: Vulkan GPU - blazeface ncnn: Vulkan GPU - googlenet ncnn: Vulkan GPU - vgg16 ncnn: Vulkan GPU - resnet18 ncnn: Vulkan GPU - alexnet ncnn: Vulkan GPU - resnet50 ncnn: Vulkan GPU - yolov4-tiny gromacs: Water Benchmark ffte: N=256, 3D Complex FFT Routine vkfft: couchdb: 100 - 1000 - 24 keydb: byte: Dhrystone 2 1 2 3 324691515.18057 129.590 17.667 26.782 29.906 86149 201149 52.60 62.30 14.61 12.74 9.30 14.21 22.57 3.89 47.62 159.54 45.78 39.81 101.10 81.71 53.05 57.06 14.49 15.26 10.17 14.44 26.75 7.12 39.94 252.57 37.74 45.61 92.67 88.24 0.189 8828.46 767 282.356 139778.42 30446121.0 325061298.61807 129.238 17.438 26.804 29.932 85598 201409 52.39 62.18 14.48 12.98 9.23 14.16 22.64 3.89 47.59 158.20 45.59 40.13 100.56 81.55 53.09 56.73 14.53 15.27 10.83 14.50 26.78 7.19 39.87 252.31 37.74 45.49 92.66 88.39 0.192 8821.48 773 283.931 140011.89 30445617.2 324632024.98235 129.343 17.154 26.714 29.928 86882 201741 52.56 62.13 14.74 12.92 9.34 14.30 22.62 3.87 47.34 158.30 45.95 40.03 100.04 81.89 53.22 56.75 14.50 15.20 10.99 14.48 26.73 6.76 39.86 252.24 37.72 45.44 92.66 88.32 0.187 8845.34 773 280.360 139417.87 30470929.7 OpenBenchmarking.org
Hierarchical INTegration Test: FLOAT OpenBenchmarking.org QUIPs, More Is Better Hierarchical INTegration 1.0 Test: FLOAT 2 1 3 70M 140M 210M 280M 350M SE +/- 322990.70, N = 3 SE +/- 545804.55, N = 3 SE +/- 444608.66, N = 3 325061298.62 324691515.18 324632024.98 1. (CC) gcc options: -O3 -march=native -lm
Timed HMMer Search Pfam Database Search OpenBenchmarking.org Seconds, Fewer Is Better Timed HMMer Search 3.3.1 Pfam Database Search 2 3 1 30 60 90 120 150 SE +/- 0.03, N = 3 SE +/- 0.04, N = 3 SE +/- 0.04, N = 3 129.24 129.34 129.59 1. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
Timed MAFFT Alignment Multiple Sequence Alignment - LSU RNA OpenBenchmarking.org Seconds, Fewer Is Better Timed MAFFT Alignment 7.471 Multiple Sequence Alignment - LSU RNA 3 2 1 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.13, N = 14 SE +/- 0.13, N = 3 17.15 17.44 17.67 1. (CC) gcc options: -std=c99 -O3 -lm -lpthread
Dolfyn Computational Fluid Dynamics OpenBenchmarking.org Seconds, Fewer Is Better Dolfyn 0.527 Computational Fluid Dynamics 3 1 2 6 12 18 24 30 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.01, N = 3 26.71 26.78 26.80
RNNoise OpenBenchmarking.org Seconds, Fewer Is Better RNNoise 2020-06-28 1 3 2 7 14 21 28 35 SE +/- 0.33, N = 3 SE +/- 0.33, N = 3 SE +/- 0.35, N = 3 29.91 29.93 29.93 1. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
Caffe Model: AlexNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: AlexNet - Acceleration: CPU - Iterations: 100 2 1 3 20K 40K 60K 80K 100K SE +/- 146.73, N = 3 SE +/- 329.40, N = 3 SE +/- 1312.17, N = 3 85598 86149 86882 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
Caffe Model: GoogleNet - Acceleration: CPU - Iterations: 100 OpenBenchmarking.org Milli-Seconds, Fewer Is Better Caffe 2020-02-13 Model: GoogleNet - Acceleration: CPU - Iterations: 100 1 2 3 40K 80K 120K 160K 200K SE +/- 318.94, N = 3 SE +/- 257.32, N = 3 SE +/- 517.62, N = 3 201149 201409 201741 1. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
NCNN Target: CPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: squeezenet 2 3 1 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.12, N = 3 SE +/- 0.06, N = 3 52.39 52.56 52.60 MIN: 51.21 / MAX: 69.03 MIN: 51.35 / MAX: 122.46 MIN: 51.51 / MAX: 56.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mobilenet 3 2 1 14 28 42 56 70 SE +/- 0.06, N = 3 SE +/- 0.15, N = 3 SE +/- 0.12, N = 3 62.13 62.18 62.30 MIN: 61.49 / MAX: 80.42 MIN: 61.66 / MAX: 78.32 MIN: 61.72 / MAX: 75.36 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 2 1 3 4 8 12 16 20 SE +/- 0.07, N = 3 SE +/- 0.10, N = 3 SE +/- 0.16, N = 3 14.48 14.61 14.74 MIN: 14.17 / MAX: 17.94 MIN: 14.26 / MAX: 18.16 MIN: 14.23 / MAX: 33.2 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 1 3 2 3 6 9 12 15 SE +/- 0.15, N = 3 SE +/- 0.16, N = 3 SE +/- 0.22, N = 3 12.74 12.92 12.98 MIN: 12.38 / MAX: 14.38 MIN: 12.46 / MAX: 29.67 MIN: 12.46 / MAX: 13.91 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: shufflenet-v2 2 1 3 3 6 9 12 15 SE +/- 0.22, N = 3 SE +/- 0.19, N = 3 SE +/- 0.20, N = 3 9.23 9.30 9.34 MIN: 8.72 / MAX: 14.11 MIN: 8.77 / MAX: 12.48 MIN: 8.8 / MAX: 10.55 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: mnasnet 2 1 3 4 8 12 16 20 SE +/- 0.36, N = 3 SE +/- 0.41, N = 3 SE +/- 0.30, N = 3 14.16 14.21 14.30 MIN: 13.1 / MAX: 16.38 MIN: 12.99 / MAX: 16.81 MIN: 13.18 / MAX: 35.4 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: efficientnet-b0 1 3 2 5 10 15 20 25 SE +/- 0.12, N = 3 SE +/- 0.14, N = 3 SE +/- 0.07, N = 3 22.57 22.62 22.64 MIN: 22.27 / MAX: 33.05 MIN: 22.29 / MAX: 29.26 MIN: 22.25 / MAX: 41.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: blazeface 3 1 2 0.8753 1.7506 2.6259 3.5012 4.3765 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 3.87 3.89 3.89 MIN: 3.77 / MAX: 4.21 MIN: 3.78 / MAX: 6.44 MIN: 3.77 / MAX: 4.09 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: googlenet 3 2 1 11 22 33 44 55 SE +/- 0.19, N = 3 SE +/- 0.19, N = 3 SE +/- 0.12, N = 3 47.34 47.59 47.62 MIN: 46.24 / MAX: 64.46 MIN: 46.97 / MAX: 124.74 MIN: 46.9 / MAX: 60.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: vgg16 2 3 1 40 80 120 160 200 SE +/- 0.24, N = 3 SE +/- 0.29, N = 3 SE +/- 0.23, N = 3 158.20 158.30 159.54 MIN: 156.77 / MAX: 172.52 MIN: 156.82 / MAX: 172.99 MIN: 157.58 / MAX: 201.7 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet18 2 1 3 10 20 30 40 50 SE +/- 0.14, N = 3 SE +/- 0.24, N = 3 SE +/- 0.23, N = 3 45.59 45.78 45.95 MIN: 45.09 / MAX: 59.78 MIN: 45.17 / MAX: 51.03 MIN: 44.61 / MAX: 66.57 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: alexnet 1 3 2 9 18 27 36 45 SE +/- 0.08, N = 3 SE +/- 0.17, N = 3 SE +/- 0.19, N = 3 39.81 40.03 40.13 MIN: 39.45 / MAX: 51.24 MIN: 39.41 / MAX: 55.6 MIN: 39.56 / MAX: 43.41 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: resnet50 3 2 1 20 40 60 80 100 SE +/- 0.17, N = 3 SE +/- 0.49, N = 3 SE +/- 0.15, N = 3 100.04 100.56 101.10 MIN: 99.42 / MAX: 119.68 MIN: 99.48 / MAX: 116.77 MIN: 100.34 / MAX: 119.63 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: CPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: CPU - Model: yolov4-tiny 2 1 3 20 40 60 80 100 SE +/- 0.15, N = 3 SE +/- 0.13, N = 3 SE +/- 0.04, N = 3 81.55 81.71 81.89 MIN: 80.84 / MAX: 93.78 MIN: 81.03 / MAX: 85.86 MIN: 81.13 / MAX: 96.51 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: squeezenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: squeezenet 1 2 3 12 24 36 48 60 SE +/- 0.04, N = 3 SE +/- 0.06, N = 3 SE +/- 0.08, N = 3 53.05 53.09 53.22 MIN: 51.83 / MAX: 54.16 MIN: 51.83 / MAX: 64.05 MIN: 51.85 / MAX: 61.59 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mobilenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mobilenet 2 3 1 13 26 39 52 65 SE +/- 0.28, N = 3 SE +/- 0.13, N = 3 SE +/- 0.76, N = 3 56.73 56.75 57.06 MIN: 48 / MAX: 64.6 MIN: 48.98 / MAX: 64.6 MIN: 48.09 / MAX: 64.29 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 1 3 2 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.01, N = 3 14.49 14.50 14.53 MIN: 14.01 / MAX: 14.83 MIN: 13.99 / MAX: 14.99 MIN: 14.37 / MAX: 15.22 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 3 1 2 4 8 12 16 20 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 15.20 15.26 15.27 MIN: 14.57 / MAX: 15.53 MIN: 14.64 / MAX: 15.59 MIN: 15.06 / MAX: 15.44 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: shufflenet-v2 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 1 2 3 3 6 9 12 15 SE +/- 0.36, N = 3 SE +/- 0.15, N = 3 SE +/- 0.19, N = 3 10.17 10.83 10.99 MIN: 9.32 / MAX: 11.67 MIN: 10.28 / MAX: 14.16 MIN: 9.86 / MAX: 12.76 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: mnasnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: mnasnet 1 3 2 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 14.44 14.48 14.50 MIN: 13.98 / MAX: 14.94 MIN: 13.88 / MAX: 14.94 MIN: 14.19 / MAX: 15 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: efficientnet-b0 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 3 1 2 6 12 18 24 30 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 26.73 26.75 26.78 MIN: 25.98 / MAX: 27.81 MIN: 26.15 / MAX: 27.89 MIN: 26.46 / MAX: 26.99 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: blazeface OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: blazeface 3 1 2 2 4 6 8 10 SE +/- 0.13, N = 3 SE +/- 0.05, N = 3 SE +/- 0.08, N = 3 6.76 7.12 7.19 MIN: 3.8 / MAX: 7.89 MIN: 4.75 / MAX: 8.12 MIN: 5.8 / MAX: 7.88 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: googlenet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: googlenet 3 2 1 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 39.86 39.87 39.94 MIN: 39.08 / MAX: 40.28 MIN: 39.28 / MAX: 40.3 MIN: 39.26 / MAX: 40.84 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: vgg16 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: vgg16 3 2 1 60 120 180 240 300 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.29, N = 3 252.24 252.31 252.57 MIN: 250.58 / MAX: 253.85 MIN: 250.96 / MAX: 253.81 MIN: 250.95 / MAX: 254.17 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet18 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet18 3 1 2 9 18 27 36 45 SE +/- 0.01, N = 3 SE +/- 0.01, N = 3 SE +/- 0.03, N = 3 37.72 37.74 37.74 MIN: 37.21 / MAX: 38.47 MIN: 37.27 / MAX: 37.9 MIN: 37.27 / MAX: 38.35 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: alexnet OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: alexnet 3 2 1 10 20 30 40 50 SE +/- 0.08, N = 3 SE +/- 0.10, N = 3 SE +/- 0.11, N = 3 45.44 45.49 45.61 MIN: 45.14 / MAX: 45.88 MIN: 45.11 / MAX: 45.76 MIN: 45.1 / MAX: 46.01 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: resnet50 OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: resnet50 2 3 1 20 40 60 80 100 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 92.66 92.66 92.67 MIN: 92.14 / MAX: 92.95 MIN: 92.09 / MAX: 93.01 MIN: 92.12 / MAX: 93.02 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
NCNN Target: Vulkan GPU - Model: yolov4-tiny OpenBenchmarking.org ms, Fewer Is Better NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny 1 3 2 20 40 60 80 100 SE +/- 0.11, N = 3 SE +/- 0.12, N = 3 SE +/- 0.15, N = 3 88.24 88.32 88.39 MIN: 75.47 / MAX: 93.3 MIN: 77.07 / MAX: 93.97 MIN: 78.62 / MAX: 92.72 1. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
GROMACS Water Benchmark OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2020.3 Water Benchmark 2 1 3 0.0432 0.0864 0.1296 0.1728 0.216 SE +/- 0.000, N = 3 SE +/- 0.002, N = 3 SE +/- 0.001, N = 3 0.192 0.189 0.187 1. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
FFTE N=256, 3D Complex FFT Routine OpenBenchmarking.org MFLOPS, More Is Better FFTE 7.0 N=256, 3D Complex FFT Routine 3 1 2 2K 4K 6K 8K 10K SE +/- 13.44, N = 3 SE +/- 13.13, N = 3 SE +/- 8.48, N = 3 8845.34 8828.46 8821.48 1. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
VkFFT OpenBenchmarking.org Benchmark Score, More Is Better VkFFT 2020-09-29 3 2 1 170 340 510 680 850 SE +/- 1.86, N = 3 SE +/- 4.62, N = 3 773 773 767
Apache CouchDB Bulk Size: 100 - Inserts: 1000 - Rounds: 24 OpenBenchmarking.org Seconds, Fewer Is Better Apache CouchDB 3.1.1 Bulk Size: 100 - Inserts: 1000 - Rounds: 24 3 1 2 60 120 180 240 300 SE +/- 0.90, N = 3 SE +/- 0.35, N = 3 SE +/- 1.93, N = 3 280.36 282.36 283.93 1. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
KeyDB OpenBenchmarking.org Ops/sec, More Is Better KeyDB 6.0.16 2 1 3 30K 60K 90K 120K 150K SE +/- 377.79, N = 3 SE +/- 999.86, N = 3 SE +/- 58.28, N = 3 140011.89 139778.42 139417.87 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
BYTE Unix Benchmark Computational Test: Dhrystone 2 OpenBenchmarking.org LPS, More Is Better BYTE Unix Benchmark 3.6 Computational Test: Dhrystone 2 3 1 2 7M 14M 21M 28M 35M SE +/- 232605.91, N = 3 SE +/- 175041.00, N = 3 SE +/- 92947.00, N = 3 30470929.7 30446121.0 30445617.2
Phoronix Test Suite v10.8.4