Intel Core i5-7600K testing with a Gigabyte Z270M-D3H-CF (F8d BIOS) and Gigabyte Intel HD 630 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 2009288-FI-SKYLAKECO89
Skylake Core i5 7600K,
"AOM AV1 2.0 - Encoder Mode: Speed 0 Two-Pass",
Higher Results Are Better
"Linux 5.4",0.23,0.23,0.23
"Linux 5.8",0.23,0.23,0.23
"Linux 5.9-rc7",0.23,0.23,0.23
"AOM AV1 2.0 - Encoder Mode: Speed 4 Two-Pass",
Higher Results Are Better
"Linux 5.4",1.95,1.96,1.95
"Linux 5.8",1.95,1.95,1.95
"Linux 5.9-rc7",1.94,1.95,1.95
"AOM AV1 2.0 - Encoder Mode: Speed 6 Realtime",
Higher Results Are Better
"Linux 5.4",14.83,14.89,14.78
"Linux 5.8",14.86,14.88,14.8
"Linux 5.9-rc7",14.82,14.79,14.84
"AOM AV1 2.0 - Encoder Mode: Speed 6 Two-Pass",
Higher Results Are Better
"Linux 5.4",3.09,3.09,3.07
"Linux 5.8",3.08,3.08,3.07
"Linux 5.9-rc7",3.09,3.09,3.08
"AOM AV1 2.0 - Encoder Mode: Speed 8 Realtime",
Higher Results Are Better
"Linux 5.4",36.09,36.08,36.12
"Linux 5.8",36.16,36.05,35.9
"Linux 5.9-rc7",35.93,35.71,35.89
"Apache CouchDB 3.1.1 - Bulk Size: 100 - Inserts: 1000 - Rounds: 24",
Lower Results Are Better
"Linux 5.4",187.777,183.212,186.192
"Linux 5.8",171.721,172.421,170.113
"Linux 5.9-rc7",170,173.524,170.766
"ASTC Encoder 2.0 - Preset: Fast",
Lower Results Are Better
"Linux 5.4",9.22,9.21,9.21
"Linux 5.8",9.27,9.25,9.25
"Linux 5.9-rc7",9.25,9.23,9.23
"ASTC Encoder 2.0 - Preset: Medium",
Lower Results Are Better
"Linux 5.4",12.83,12.8,12.82
"Linux 5.8",12.83,12.83,12.83
"Linux 5.9-rc7",12.82,12.84,12.85
"ASTC Encoder 2.0 - Preset: Thorough",
Lower Results Are Better
"Linux 5.4",84.21,84.23,84.23
"Linux 5.8",84.26,84.36,84.26
"Linux 5.9-rc7",84.17,84.2,84.2
"ASTC Encoder 2.0 - Preset: Exhaustive",
Lower Results Are Better
"Linux 5.4",666.55,666.29,666.45
"Linux 5.8",666.9,667.5,667.56
"Linux 5.9-rc7",666.58,666.58,666.65
"BYTE Unix Benchmark 3.6 - Computational Test: Dhrystone 2",
Higher Results Are Better
"Linux 5.4",41858544.5,41678641.9,41833839.4
"Linux 5.8",41233963.7,41474585.9,40176993.6
"Linux 5.9-rc7",41370179.9,41322165.9,41462044.4
"Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"Linux 5.4",37188,37229,37167
"Linux 5.8",37225,37084,37148
"Linux 5.9-rc7",37057,37296,37159
"Caffe 2020-02-13 - Model: AlexNet - Acceleration: CPU - Iterations: 200",
Lower Results Are Better
"Linux 5.4",74240,74331,74340
"Linux 5.8",74324,74153,74092
"Linux 5.9-rc7",74418,74233,74303
"Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 100",
Lower Results Are Better
"Linux 5.4",82993,83120,82999
"Linux 5.8",83081,82999,83087
"Linux 5.9-rc7",82791,82699,82776
"Caffe 2020-02-13 - Model: GoogleNet - Acceleration: CPU - Iterations: 200",
Lower Results Are Better
"Linux 5.4",165870,166237,166001
"Linux 5.8",165722,165830,166105
"Linux 5.9-rc7",165597,165574,165762
"dcraw - RAW To PPM Image Conversion",
Lower Results Are Better
"Linux 5.4",39.419,39.362,39.344
"Linux 5.8",39.584,39.563,39.521
"Linux 5.9-rc7",39.643,39.509,39.521
"Dolfyn 0.527 - Computational Fluid Dynamics",
Lower Results Are Better
"Linux 5.4",19.823,19.724,19.754
"Linux 5.8",19.772,19.73,19.917
"Linux 5.9-rc7",19.991,19.82,19.755
"eSpeak-NG Speech Engine 20200907 - Text-To-Speech Synthesis",
Lower Results Are Better
"Linux 5.4",28.493,29.791,29.83,29.767
"Linux 5.8",30.016,29.803,29.747,29.838
"Linux 5.9-rc7",29.991,29.685,29.664,29.66
"FFTE 7.0 - N=256, 3D Complex FFT Routine",
Higher Results Are Better
"Linux 5.4",14284.701575258,14363.517776645,14408.008484954
"Linux 5.8",14819.710960338,14794.151200531,15064.548099128
"Linux 5.9-rc7",14849.931883549,14821.941920838,14990.08156512
"GLmark2 2020.04 - Resolution: 1920 x 1080",
Higher Results Are Better
"Linux 5.4",
"Linux 5.8",
"Linux 5.9-rc7",
"GROMACS 2020.3 - Water Benchmark",
Higher Results Are Better
"Linux 5.4",0.404,0.4,0.404
"Linux 5.8",0.401,0.401,0.4
"Linux 5.9-rc7",0.388,0.402,0.399
"Hierarchical INTegration 1.0 - Test: FLOAT",
Higher Results Are Better
"Linux 5.4",421171672.21887,421681220.33118,422923931.93061
"Linux 5.8",420377686.35755,421156954.94759,419832293.90615
"Linux 5.9-rc7",416952046.1233,419486274.91379,418438142.55428
"Incompact3D 2020-09-17 - Input: Cylinder",
Lower Results Are Better
"Linux 5.4",718.460266,717.578735,715.726501
"Linux 5.8",718.506653,719.807312,720.572693
"Linux 5.9-rc7",718.161133,718.085022,720.710571
"InfluxDB 1.8.2 - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"Linux 5.4",938773,939246.1,934952.7
"Linux 5.8",917363.8,904908.5,906283
"Linux 5.9-rc7",910731.9,902053.6,915920.1
"InfluxDB 1.8.2 - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"Linux 5.4",997120.4,987887.5,992785.4
"Linux 5.8",972552.8,966273,980267.8
"Linux 5.9-rc7",976632.6,975660.1,966687.5
"InfluxDB 1.8.2 - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000",
Higher Results Are Better
"Linux 5.4",339496.2,196908.9,112406.7,95694.7,284849.8,312782.8,175669,34328.3,188414.9,287742.2,11211.9,8377.8,110958.7,127278.7,22344
"Linux 5.8",35849.9,148059.8,303782.6,216807.1,122311.6,238246.4,269552.7,286016.2,112163,255149,201149.8,11442.5,311942.7,275422.9,100884.7
"Linux 5.9-rc7",130631.9,204512.1,222926.8,128756
"LAMMPS Molecular Dynamics Simulator 24Aug2020 - Model: Rhodopsin Protein",
Higher Results Are Better
"Linux 5.4",2.953,2.925,2.975
"Linux 5.8",2.953,2.967,2.977
"Linux 5.9-rc7",2.976,2.942,2.967
"LeelaChessZero 0.26 - Backend: BLAS",
Higher Results Are Better
"Linux 5.4",592,605,592
"Linux 5.8",585,565,585
"Linux 5.9-rc7",597,602,585
"LeelaChessZero 0.26 - Backend: Eigen",
Higher Results Are Better
"Linux 5.4",
"Linux 5.8",540,542,543
"Linux 5.9-rc7",
"LeelaChessZero 0.26 - Backend: Random",
Higher Results Are Better
"Linux 5.4",259072,260149,259060
"Linux 5.8",258763,257719,257398
"Linux 5.9-rc7",257687,258104,258244
"libavif avifenc 0.7.3 - Encoder Speed: 0",
Lower Results Are Better
"Linux 5.4",187.09,187.264,186.968
"Linux 5.8",187.268,187.106,187.15
"Linux 5.9-rc7",188.319,186.956,186.758
"libavif avifenc 0.7.3 - Encoder Speed: 2",
Lower Results Are Better
"Linux 5.4",110.814,111.764,110.872
"Linux 5.8",111.277,110.946,111.406
"Linux 5.9-rc7",110.726,110.784,110.744
"libavif avifenc 0.7.3 - Encoder Speed: 8",
Lower Results Are Better
"Linux 5.4",7.906,7.897,7.902
"Linux 5.8",7.92,7.923,7.933
"Linux 5.9-rc7",7.936,7.935,7.93
"libavif avifenc 0.7.3 - Encoder Speed: 10",
Lower Results Are Better
"Linux 5.4",7.269,7.277,7.28
"Linux 5.8",7.302,7.312,7.299
"Linux 5.9-rc7",7.307,7.305,7.312
"LibRaw 0.20 - Post-Processing Benchmark",
Higher Results Are Better
"Linux 5.4",26.47,26.44,26.45
"Linux 5.8",26.43,26.4,26.42
"Linux 5.9-rc7",26.42,26.33,26.42
"Mlpack Benchmark - Benchmark: scikit_ica",
Lower Results Are Better
"Linux 5.4",54.701456308365,54.327431440353,54.540737867355
"Linux 5.8",54.266584634781,54.503587007523,58.69265294075,57.012908697128,57.725424051285,57.967648506165,57.82662653923,57.517218112946
"Linux 5.9-rc7",58.364997148514,57.101635932922,57.281266450882
"Mlpack Benchmark - Benchmark: scikit_qda",
Lower Results Are Better
"Linux 5.4",117.07242369652,116.60617733002,119.89552402496
"Linux 5.8",119.35972690582,120.64060974121,139.40285181999,115.71398973465,122.70824503899,120.50014138222,121.5064997673,142.20023107529,120.01568245888,124.32853579521,121.31498169899,123.37267541885
"Linux 5.9-rc7",117.22458648682,117.16916513443,143.94159197807,122.78340792656,120.93275308609
"Mlpack Benchmark - Benchmark: scikit_svm",
Lower Results Are Better
"Linux 5.4",26.175713300705,25.88018488884,25.859019041061
"Linux 5.8",25.862010002136,25.979830026627,25.921274900436
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression",
Lower Results Are Better
"Linux 5.4",5.5085246562958,5.4530644416809,5.1269681453705,5.1493625640869,5.0785460472107,5.2196137905121,5.0679521560669,5.2078051567078,5.2138690948486
"Linux 5.8",5.3157234191895,5.0814201831818,5.377357006073
"Mobile Neural Network 2020-09-17 - Model: SqueezeNetV1.0",
Lower Results Are Better
"Linux 5.4",7.493,7.546,7.564
"Linux 5.8",7.548,7.53,7.52
"Linux 5.9-rc7",7.471,7.508,7.498
"Mobile Neural Network 2020-09-17 - Model: resnet-v2-50",
Lower Results Are Better
"Linux 5.4",38.611,38.121,38.317
"Linux 5.8",38.441,38.409,38.34
"Linux 5.9-rc7",38.196,38.296,38.173
"Mobile Neural Network 2020-09-17 - Model: MobileNetV2_224",
Lower Results Are Better
"Linux 5.4",5.223,5.252,5.231
"Linux 5.8",5.302,5.258,5.265
"Linux 5.9-rc7",5.23,5.241,5.235
"Mobile Neural Network 2020-09-17 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"Linux 5.4",6.186,6.187,6.223
"Linux 5.8",6.243,6.244,6.224
"Linux 5.9-rc7",6.135,6.131,6.139
"Mobile Neural Network 2020-09-17 - Model: inception-v3",
Lower Results Are Better
"Linux 5.4",44.096,44.055,44.122
"Linux 5.8",44.411,44.36,44.672
"Linux 5.9-rc7",44.148,43.978,44.086
"Monte Carlo Simulations of Ionised Nebulae 2019-03-24 - Input: Dust 2D tau100.0",
Lower Results Are Better
"Linux 5.4",
"Linux 5.8",
"Linux 5.9-rc7",
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only",
Higher Results Are Better
"Linux 5.4",68.840287893289,68.749618518565,68.876141464671
"Linux 5.8",69.202390087676,69.201683101719,69.167700998029
"Linux 5.9-rc7",69.315115253543,69.319451788952,69.354525580013
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only",
Higher Results Are Better
"Linux 5.4",155.82570036252,156.67387736855,156.75974769757
"Linux 5.8",158.21715023554,157.89324050505,157.79374204287
"Linux 5.9-rc7",157.82743604075,156.80456032543,157.26961514502
"NAMD 2.14 - ATPase Simulation - 327,506 Atoms",
Lower Results Are Better
"Linux 5.4",4.2368,4.24679,4.2333
"Linux 5.8",4.22229,4.22456,4.24972
"Linux 5.9-rc7",4.2222,4.22911,4.22633
"NCNN 20200916 - Target: CPU - Model: squeezenet",
Lower Results Are Better
"Linux 5.4",31.76,31.8,31.75
"Linux 5.8",32.05,31.94,32
"Linux 5.9-rc7",31.44,31.47,31.46
"NCNN 20200916 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"Linux 5.4",37.46,37.43,37.23
"Linux 5.8",37.22,37.29,37.15
"Linux 5.9-rc7",37.25,36.87,37
"NCNN 20200916 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"Linux 5.4",9.86,9.82,9.91
"Linux 5.8",9.91,9.86,9.86
"Linux 5.9-rc7",9.78,9.94,9.84
"NCNN 20200916 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"Linux 5.4",8.07,8.12,8.14
"Linux 5.8",8.11,8.15,8.11
"Linux 5.9-rc7",8.01,8.04,8.09
"NCNN 20200916 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"Linux 5.4",4.29,4.31,4.35
"Linux 5.8",4.37,4.38,4.37
"Linux 5.9-rc7",4.33,4.33,4.33
"NCNN 20200916 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"Linux 5.4",7.43,7.46,7.4
"Linux 5.8",7.4,7.44,7.4
"Linux 5.9-rc7",7.45,7.39,7.39
"NCNN 20200916 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"Linux 5.4",13.28,13.16,13.19
"Linux 5.8",13.21,13.23,13.21
"Linux 5.9-rc7",13.14,13.02,13.07
"NCNN 20200916 - Target: CPU - Model: blazeface",
Lower Results Are Better
"Linux 5.4",1.59,1.6,1.6
"Linux 5.8",1.58,1.59,1.58
"Linux 5.9-rc7",1.6,1.61,1.59
"NCNN 20200916 - Target: CPU - Model: googlenet",
Lower Results Are Better
"Linux 5.4",30.38,30.31,30.37
"Linux 5.8",30.44,30.34,30.49
"Linux 5.9-rc7",30.17,30.13,30.21
"NCNN 20200916 - Target: CPU - Model: vgg16",
Lower Results Are Better
"Linux 5.4",152.6,152.82,152.68
"Linux 5.8",153.52,153.17,153.14
"Linux 5.9-rc7",153.47,153.77,153.75
"NCNN 20200916 - Target: CPU - Model: resnet18",
Lower Results Are Better
"Linux 5.4",34.89,34.76,34.89
"Linux 5.8",35.07,35.04,35.08
"Linux 5.9-rc7",34.82,34.79,34.98
"NCNN 20200916 - Target: CPU - Model: alexnet",
Lower Results Are Better
"Linux 5.4",31.64,31.54,31.58
"Linux 5.8",31.8,31.8,31.8
"Linux 5.9-rc7",31.82,31.78,31.8
"NCNN 20200916 - Target: CPU - Model: resnet50",
Lower Results Are Better
"Linux 5.4",63.17,63.17,63.23
"Linux 5.8",63.41,63.53,63.76
"Linux 5.9-rc7",63.33,63.42,63.39
"NCNN 20200916 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"Linux 5.4",56.65,56.32,56.43
"Linux 5.8",56.46,56.64,56.5
"Linux 5.9-rc7",56.06,56.17,56.12
"OpenCV 4.4 - Test: DNN - Deep Neural Network",
Lower Results Are Better
"Linux 5.4",3805,4192,3830,4639,3769,4052,3847,3873,3940,4053,3750,4158,3778,3886,3951
"Linux 5.8",3799,4081,3792,3891,3903
"Linux 5.9-rc7",3770,4977,3853,3835,4763,3761,3762,3787,3814,3821,3805,3913,3759,3749,3803
"System GZIP Decompression - ",
Lower Results Are Better
"Linux 5.4",3.49,3.042,3.028,3.033,3.028,3.034,3.033,3.028,3.033,3.034,3.033,3.034,3.035,3.033
"Linux 5.8",3.595,3.051,3.045,3.043,3.045,3.047,3.044,3.046,3.045,3.046,3.045,3.045,3.048,3.044
"Linux 5.9-rc7",3.49,3.052,3.046,3.045,3.044,3.043,3.047,3.044,3.045,3.044,3.045,3.045,3.046,3.044
"TensorFlow Lite 2020-08-23 - Model: SqueezeNet",
Lower Results Are Better
"Linux 5.4",448444,448579,448542
"Linux 5.8",448469,448638,448635
"Linux 5.9-rc7",448613,448735,448606
"TensorFlow Lite 2020-08-23 - Model: Inception V4",
Lower Results Are Better
"Linux 5.4",6467220,6466290,6466590
"Linux 5.8",6466380,6471000,6466490
"Linux 5.9-rc7",6467190,6466480,6468160
"TensorFlow Lite 2020-08-23 - Model: NASNet Mobile",
Lower Results Are Better
"Linux 5.4",324721,324799,324768
"Linux 5.8",324890,324981,324821
"Linux 5.9-rc7",324589,324849,324791
"TensorFlow Lite 2020-08-23 - Model: Mobilenet Float",
Lower Results Are Better
"Linux 5.4",304755,304931,304766
"Linux 5.8",304665,304876,304785
"Linux 5.9-rc7",304668,304755,304780
"TensorFlow Lite 2020-08-23 - Model: Mobilenet Quant",
Lower Results Are Better
"Linux 5.4",311842,312134,311954
"Linux 5.8",311963,311933,311986
"Linux 5.9-rc7",311855,311956,312054
"TensorFlow Lite 2020-08-23 - Model: Inception ResNet V2",
Lower Results Are Better
"Linux 5.4",5850470,5851220,5850480
"Linux 5.8",5853890,5851300,5852310
"Linux 5.9-rc7",5850020,5850340,5850080
"Timed HMMer Search 3.3.1 - Pfam Database Search",
Lower Results Are Better
"Linux 5.4",111.475,111.379,111.409
"Linux 5.8",111.129,110.957,110.999
"Linux 5.9-rc7",111.492,111.558,111.372
"Timed MAFFT Alignment 7.471 - Multiple Sequence Alignment - LSU RNA",
Lower Results Are Better
"Linux 5.4",14.48,14.369,13.886
"Linux 5.8",13.985,13.83,13.691
"Linux 5.9-rc7",13.918,13.761,13.916
"TNN 0.2.3 - Target: CPU - Model: MobileNet v2",
Lower Results Are Better
"Linux 5.4",316.344,315.308,316.553
"Linux 5.8",317.451,318.631,321.883
"Linux 5.9-rc7",315.172,315.328,315.16
"TNN 0.2.3 - Target: CPU - Model: SqueezeNet v1.1",
Lower Results Are Better
"Linux 5.4",319.166,319.111,319.473
"Linux 5.8",320.629,320.789,320.865
"Linux 5.9-rc7",320.889,320.844,320.991
"WebP Image Encode 1.1 - Encode Settings: Default",
Lower Results Are Better
"Linux 5.4",1.603,1.605,1.605
"Linux 5.8",1.609,1.613,1.61
"Linux 5.9-rc7",1.61,1.61,1.612
"WebP Image Encode 1.1 - Encode Settings: Quality 100",
Lower Results Are Better
"Linux 5.4",2.52,2.516,2.533
"Linux 5.8",2.531,2.532,2.528
"Linux 5.9-rc7",2.543,2.527,2.53
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless",
Lower Results Are Better
"Linux 5.4",18.575,18.646,18.563
"Linux 5.8",18.811,18.703,18.862
"Linux 5.9-rc7",18.739,18.771,18.823
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Highest Compression",
Lower Results Are Better
"Linux 5.4",7.511,7.521,7.52
"Linux 5.8",7.553,7.578,7.564
"Linux 5.9-rc7",7.543,7.57,7.548
"WebP Image Encode 1.1 - Encode Settings: Quality 100, Lossless, Highest Compression",
Lower Results Are Better
"Linux 5.4",46.833,46.755,46.8
"Linux 5.8",46.846,46.938,46.8
"Linux 5.9-rc7",46.649,46.694,46.74
"Zstd Compression 1.4.5 - Compression Level: 3",
Higher Results Are Better
"Linux 5.4",1661.2,1685.8,1646.4
"Linux 5.8",1690.3,1687.1,1698.6
"Linux 5.9-rc7",1696.2,1689.8,1664.2
"Zstd Compression 1.4.5 - Compression Level: 19",
Higher Results Are Better
"Linux 5.4",11.1,11.1,11.1
"Linux 5.8",11,11.1,11.1
"Linux 5.9-rc7",11.1,11.1,11