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.

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
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AV1 2 Tests
Bioinformatics 2 Tests
BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
C/C++ Compiler Tests 6 Tests
Compression Tests 2 Tests
CPU Massive 8 Tests
Creator Workloads 7 Tests
Database Test Suite 2 Tests
Encoding 2 Tests
Fortran Tests 5 Tests
HPC - High Performance Computing 17 Tests
Imaging 4 Tests
Machine Learning 8 Tests
Molecular Dynamics 5 Tests
MPI Benchmarks 4 Tests
Multi-Core 6 Tests
NVIDIA GPU Compute 4 Tests
OpenMPI Tests 4 Tests
Python Tests 3 Tests
Scientific Computing 9 Tests
Server 2 Tests
Server CPU Tests 2 Tests
Single-Threaded 4 Tests
Video Encoding 2 Tests

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Linux 5.4
September 27 2020
  8 Hours, 39 Minutes
Linux 5.8
September 28 2020
  8 Hours, 47 Minutes
Linux 5.9-rc7
September 28 2020
  8 Hours, 4 Minutes
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  8 Hours, 30 Minutes

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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