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
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.
,,"Linux 5.4","Linux 5.8","Linux 5.9-rc7"
Processor,,Intel Core i5-7600K @ 4.20GHz (4 Cores),Intel Core i5-7600K @ 4.20GHz (4 Cores),Intel Core i5-7600K @ 4.20GHz (4 Cores)
Motherboard,,Gigabyte Z270M-D3H-CF (F8d BIOS),Gigabyte Z270M-D3H-CF (F8d BIOS),Gigabyte Z270M-D3H-CF (F8d BIOS)
Chipset,,Intel Xeon E3-1200 v6/7th + Z270,Intel Xeon E3-1200 v6/7th + Z270,Intel Xeon E3-1200 v6/7th + Z270
Memory,,8GB,8GB,8GB
Disk,,250GB Samsung SSD 850,250GB Samsung SSD 850,250GB Samsung SSD 850
Graphics,,Gigabyte Intel HD 630 3GB (1150MHz),Gigabyte Intel HD 630 3GB (1150MHz),Gigabyte Intel HD 630 3GB (1150MHz)
Audio,,Realtek ALC892,Realtek ALC892,Realtek ALC892
Monitor,,DELL S2409W,DELL S2409W,DELL S2409W
Network,,Intel I219-V,Intel I219-V,Intel I219-V
OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04
Kernel,,5.4.0-40-generic (x86_64),5.8.0-050800-generic (x86_64),5.9.0-050900rc7daily20200928-generic (x86_64) 20200927
Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,GNOME Shell 3.36.4
Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8
Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8
OpenGL,,4.6 Mesa 20.0.8,4.6 Mesa 20.0.8,4.6 Mesa 20.0.8
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080
,,"Linux 5.4","Linux 5.8","Linux 5.9-rc7"
"System GZIP Decompression - (sec)",LIB,3.066,3.085,3.077
"Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,421925608.16022,420455645.07043,418292154.53046
"ASTC Encoder - Preset: Fast (sec)",LIB,9.21,9.26,9.24
"ASTC Encoder - Preset: Medium (sec)",LIB,12.82,12.83,12.84
"ASTC Encoder - Preset: Thorough (sec)",LIB,84.22,84.29,84.19
"ASTC Encoder - Preset: Exhaustive (sec)",LIB,666.43,667.32,666.60
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,26.45,26.42,26.39
"WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,1.604,1.611,1.611
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,2.523,2.530,2.533
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,18.595,18.792,18.778
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,7.517,7.565,7.554
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,46.796,46.861,46.694
"dcraw - RAW To PPM Image Conversion (sec)",LIB,39.375,39.556,39.558
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,29.470,29.851,29.750
"GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,270,266,265
"Timed HMMer Search - Pfam Database Search (sec)",LIB,111.421,111.028,111.474
"Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,14.245,13.835,13.865
"LeelaChessZero - Backend: BLAS (Nodes/s)",HIB,596,578,595
"LeelaChessZero - Backend: Eigen (Nodes/s)",HIB,541,542,547
"LeelaChessZero - Backend: Random (Nodes/s)",HIB,259427,257960,258012
"Dolfyn - Computational Fluid Dynamics (sec)",LIB,19.767,19.806,19.855
"Mobile Neural Network - Model: SqueezeNetV1.0 (ms)",LIB,7.534,7.533,7.492
"Mobile Neural Network - Model: resnet-v2-50 (ms)",LIB,38.350,38.397,38.222
"Mobile Neural Network - Model: MobileNetV2_224 (ms)",LIB,5.235,5.275,5.235
"Mobile Neural Network - Model: mobilenet-v1-1.0 (ms)",LIB,6.199,6.237,6.135
"Mobile Neural Network - Model: inception-v3 (ms)",LIB,44.091,44.481,44.071
"OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,3968,3893,3945
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,448522,448581,448651
"TensorFlow Lite - Model: Inception V4 (us)",LIB,6466700,6467957,6467277
"TensorFlow Lite - Model: NASNet Mobile (us)",LIB,324763,324897,324743
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,304817,304775,304734
"TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,311977,311961,311955
"TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,5850723,5852500,5850147
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,316.068,319.322,315.220
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,319.250,320.761,320.908
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,37195,37152,37171
"Caffe - Model: AlexNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,74304,74190,74318
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 100 (ms)",LIB,83037,83056,82755
"Caffe - Model: GoogleNet - Acceleration: CPU - Iterations: 200 (ms)",LIB,166036,165886,165644
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,156.42,157.97,157.30
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,68.82,69.19,69.33
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,31.77,32.00,31.46
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,37.37,37.22,37.04
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,9.86,9.88,9.85
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,8.11,8.12,8.05
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,4.32,4.37,4.33
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,7.43,7.41,7.41
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,13.21,13.22,13.08
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,1.60,1.58,1.60
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,30.35,30.42,30.17
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,152.70,153.28,153.66
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,34.85,35.06,34.86
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,31.59,31.8,31.80
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,63.19,63.57,63.38
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,56.47,56.53,56.12
"Mlpack Benchmark - Benchmark: scikit_ica (sec)",LIB,54.52,56.94,57.58
"Mlpack Benchmark - Benchmark: scikit_qda (sec)",LIB,117.86,124.26,124.41
"Mlpack Benchmark - Benchmark: scikit_svm (sec)",LIB,25.97,25.92,
"Mlpack Benchmark - Benchmark: scikit_linearridgeregression (sec)",LIB,5.23,5.26,
"GROMACS - Water Benchmark (Ns/Day)",HIB,0.403,0.401,0.396
"LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,2.951,2.966,2.962
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,4.23896,4.23219,4.22588
"FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,14352.075945619,14892.803419999,14887.318456502
"Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,283,283,284
"Incompact3D - Input: Cylinder (sec)",LIB,717.255167,719.628886,718.985575
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,1664.5,1692.0,1683.4
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,11.1,11.1,11.1
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.23,0.23,0.23
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,1.95,1.95,1.95
"AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,14.83,14.85,14.82
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,3.08,3.08,3.09
"AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,36.10,36.04,35.84
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,187.107,187.175,187.344
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,111.150,111.210,110.751
"libavif avifenc - Encoder Speed: 8 (sec)",LIB,7.902,7.925,7.934
"libavif avifenc - Encoder Speed: 10 (sec)",LIB,7.275,7.304,7.308
"Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,185.727,171.418,171.430
"InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,937657.3,909518.4,909568.5
"InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,992597.8,973031.2,972993.4
"InfluxDB - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,153897.6,192585.4,171706.7
"BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,41790341.9,40961847.7,41384796.7