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