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" "GLmark2 - Resolution: 1920 x 1080 (Score)",HIB,270,266,265 "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 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,4.23896,4.23219,4.22588 "Dolfyn - Computational Fluid Dynamics (sec)",LIB,19.767,19.806,19.855 "FFTE - N=256, 3D Complex FFT Routine (MFLOPS)",HIB,14352.075945619,14892.803419999,14887.318456502 "Timed HMMer Search - Pfam Database Search (sec)",LIB,111.421,111.028,111.474 "Incompact3D - Input: Cylinder (sec)",LIB,717.255167,719.628886,718.985575 "Timed MAFFT Alignment - Multiple Sequence Alignment - LSU RNA (sec)",LIB,14.245,13.835,13.865 "Monte Carlo Simulations of Ionised Nebulae - Input: Dust 2D tau100.0 (sec)",LIB,283,283,284 "LAMMPS Molecular Dynamics Simulator - Model: Rhodopsin Protein (ns/day)",HIB,2.951,2.966,2.962 "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 "BYTE Unix Benchmark - Computational Test: Dhrystone 2 (LPS)",HIB,41790341.9,40961847.7,41384796.7 "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 "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 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 "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 "System GZIP Decompression - (sec)",LIB,3.066,3.085,3.077 "MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,68.82,69.19,69.33 "MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,156.42,157.97,157.30 "Apache CouchDB - Bulk Size: 100 - Inserts: 1000 - Rounds: 24 (sec)",LIB,185.727,171.418,171.430 "GROMACS - Water Benchmark (Ns/Day)",HIB,0.403,0.401,0.396 "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 "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 "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 "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 "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 "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 "Hierarchical INTegration - Test: FLOAT (QUIPs)",HIB,421925608.16022,420455645.07043,418292154.53046 "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, "OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,3968,3893,3945 "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