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