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.

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
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Bioinformatics 2 Tests
C/C++ Compiler Tests 4 Tests
CPU Massive 4 Tests
Database Test Suite 2 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 8 Tests
Machine Learning 3 Tests
Molecular Dynamics 2 Tests
NVIDIA GPU Compute 4 Tests
Scientific Computing 5 Tests
Server 2 Tests
Single-Threaded 2 Tests
Vulkan Compute 2 Tests

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September 30 2020
  6 Hours, 57 Minutes
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September 30 2020
  6 Hours, 59 Minutes
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September 30 2020
  6 Hours, 54 Minutes
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broadwell 5600U Linux, "VkFFT 2020-09-29 - ", Higher Results Are Better "1",759,767,775 "2", "3",775,769,774 "Dolfyn 0.527 - Computational Fluid Dynamics", Lower Results Are Better "1",26.816,26.967,26.562 "2",26.819,26.774,26.819 "3",26.741,26.644,26.757 "FFTE 7.0 - N=256, 3D Complex FFT Routine", Higher Results Are Better "1",8846.7166335485,8802.9908008376,8835.6751119593 "2",8823.7245336313,8805.8006609867,8834.9060152547 "3",8869.1901935237,8822.683509396,8844.1588290824 "Timed HMMer Search 3.3.1 - Pfam Database Search", Lower Results Are Better "1",129.58,129.662,129.528 "2",129.28,129.184,129.251 "3",129.357,129.413,129.26 "Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA", Lower Results Are Better "1",17.7,17.418,17.882 "2",19.093,17.287,17.309,17.411,17.552,17.365,17.264,17.216,17.291,17.301,17.028,17.046,17.346,17.626 "3",17.178,17.117,17.166 "BYTE Unix Benchmark 3.6 - Computational Test: Dhrystone 2", Higher Results Are Better "1",30713576.1,30508017.8,30116769.1 "2",30571100.2,30501652.5,30264098.8 "3",30330657.3,30925200.3,30156931.4 "RNNoise 2020-06-28 - ", Lower Results Are Better "1",29.241,30.218,30.258 "2",29.237,30.269,30.289 "3",29.264,30.293,30.228 "Apache CouchDB 3.1.1 - Bulk Size: 100 - Inserts: 1000 - Rounds: 24", Lower Results Are Better "1",281.723,282.934,282.411 "2",280.768,287.416,283.61 "3",278.994,280.027,282.058 "KeyDB 6.0.16 - ", Higher Results Are Better "1",141336.46,140085.02,137913.79 "2",139640.55,139627.69,140767.43 "3",139332.64,139391.62,139529.35 "GROMACS 2020.3 - Water Benchmark", Higher Results Are Better "1",0.191,0.186,0.191 "2",0.192,0.192,0.192 "3",0.186,0.187,0.188 "Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "1",85911,85736,86800 "2",85365,85560,85869 "3",89506,85568,85571 "Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100", Lower Results Are Better "1",200524,201353,201571 "2",200950,201840,201438 "3",200724,202084,202416 "NCNN 20200916 - Target: CPU - Model: squeezenet", Lower Results Are Better "1",52.51,52.71,52.58 "2",52.46,52.32,52.38 "3",52.37,52.53,52.78 "NCNN 20200916 - Target: CPU - Model: mobilenet", Lower Results Are Better "1",62.28,62.52,62.1 "2",61.93,62.46,62.14 "3",62.15,62.22,62.02 "NCNN 20200916 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",14.42,14.69,14.72 "2",14.35,14.51,14.57 "3",14.42,14.94,14.87 "NCNN 20200916 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",12.47,12.97,12.77 "2",12.54,13.18,13.23 "3",12.65,13.2,12.9 "NCNN 20200916 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "1",8.93,9.43,9.55 "2",8.8,9.47,9.42 "3",8.93,9.54,9.54 "NCNN 20200916 - Target: CPU - Model: mnasnet", Lower Results Are Better "1",13.4,14.58,14.66 "2",13.45,14.44,14.6 "3",13.7,14.68,14.53 "NCNN 20200916 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "1",22.76,22.6,22.36 "2",22.77,22.54,22.62 "3",22.39,22.87,22.59 "NCNN 20200916 - Target: CPU - Model: blazeface", Lower Results Are Better "1",3.89,3.89,3.88 "2",3.88,3.88,3.9 "3",3.86,3.87,3.87 "NCNN 20200916 - Target: CPU - Model: googlenet", Lower Results Are Better "1",47.79,47.68,47.4 "2",47.63,47.25,47.89 "3",47.27,47.05,47.69 "NCNN 20200916 - Target: CPU - Model: vgg16", Lower Results Are Better "1",159.1,159.87,159.65 "2",157.85,158.09,158.66 "3",158.83,157.81,158.27 "NCNN 20200916 - Target: CPU - Model: resnet18", Lower Results Are Better "1",45.37,46.19,45.79 "2",45.31,45.74,45.73 "3",45.84,46.39,45.61 "NCNN 20200916 - Target: CPU - Model: alexnet", Lower Results Are Better "1",39.96,39.74,39.73 "2",40.2,39.78,40.41 "3",39.79,40.35,39.94 "NCNN 20200916 - Target: CPU - Model: resnet50", Lower Results Are Better "1",100.85,101.37,101.07 "2",101.49,100.36,99.84 "3",99.78,100.36,99.99 "NCNN 20200916 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "1",81.74,81.92,81.47 "2",81.86,81.37,81.43 "3",81.95,81.81,81.9 "NCNN 20200916 - Target: Vulkan GPU - Model: squeezenet", Lower Results Are Better "1",53.07,52.97,53.11 "2",52.98,53.17,53.11 "3",53.09,53.22,53.36 "NCNN 20200916 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "1",56,58.54,56.63 "2",56.6,56.31,57.27 "3",56.53,56.75,56.97 "NCNN 20200916 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",14.47,14.5,14.49 "2",14.53,14.56,14.51 "3",14.5,14.5,14.51 "NCNN 20200916 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",15.28,15.27,15.23 "2",15.29,15.26,15.26 "3",15.13,15.24,15.23 "NCNN 20200916 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "1",10.59,9.46,10.47 "2",11,10.53,10.96 "3",11.28,10.62,11.07 "NCNN 20200916 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "1",14.41,14.47,14.44 "2",14.48,14.57,14.46 "3",14.49,14.49,14.45 "NCNN 20200916 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "1",26.75,26.74,26.76 "2",26.78,26.79,26.77 "3",26.7,26.75,26.73 "NCNN 20200916 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "1",7.03,7.2,7.12 "2",7.34,7.06,7.17 "3",6.51,6.84,6.93 "NCNN 20200916 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "1",39.91,39.98,39.92 "2",39.85,39.88,39.88 "3",39.87,39.83,39.87 "NCNN 20200916 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "1",253.14,252.35,252.23 "2",252.25,252.14,252.54 "3",252.46,252.14,252.11 "NCNN 20200916 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "1",37.75,37.75,37.71 "2",37.78,37.74,37.69 "3",37.7,37.72,37.74 "NCNN 20200916 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "1",45.39,45.7,45.75 "2",45.29,45.59,45.58 "3",45.52,45.51,45.29 "NCNN 20200916 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "1",92.68,92.67,92.65 "2",92.66,92.66,92.66 "3",92.64,92.64,92.69 "NCNN 20200916 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "1",88.17,88.09,88.46 "2",88.1,88.49,88.59 "3",88.09,88.38,88.5 "Hierarchical INTegration 1.0 - Test: FLOAT", Higher Results Are Better "1",323756429.26533,325646827.11191,324671289.16448 "2",325704243.25426,324794007.66904,324685644.9309 "3",323749815.45242,325169619.84557,324976639.64905