7700K Mon Intel Core i7-7700K testing with a MSI Z270-A PRO (MS-7A71) v1.0 (1.60 BIOS) and MSI Intel HD 630 on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-7700K @ 4.50GHz (4 Cores / 8 Threads), Motherboard: MSI Z270-A PRO (MS-7A71) v1.0 (1.60 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 16GB, Disk: 256GB Samsung SSD 850, Graphics: MSI Intel HD 630 (1150MHz), Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc8daily20201011-generic (x86_64) 20201010, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 2: Processor: Intel Core i7-7700K @ 4.50GHz (4 Cores / 8 Threads), Motherboard: MSI Z270-A PRO (MS-7A71) v1.0 (1.60 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 16GB, Disk: 256GB Samsung SSD 850, Graphics: MSI Intel HD 630 (1150MHz), Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc8daily20201011-generic (x86_64) 20201010, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 3: Processor: Intel Core i7-7700K @ 4.50GHz (4 Cores / 8 Threads), Motherboard: MSI Z270-A PRO (MS-7A71) v1.0 (1.60 BIOS), Chipset: Intel Xeon E3-1200 v6/7th + Z270, Memory: 16GB, Disk: 256GB Samsung SSD 850, Graphics: MSI Intel HD 630 (1150MHz), Audio: Realtek ALC892, Monitor: LG Ultra HD, Network: Realtek RTL8111/8168/8411 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc8daily20201011-generic (x86_64) 20201010, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 3840x2160 CloverLeaf Lagrangian-Eulerian Hydrodynamics Seconds < Lower Is Better 1 . 178.96 |================================================================ 2 . 186.36 |=================================================================== 3 . 186.58 |=================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 1.205 |=================================================================== 2 . 1.190 |================================================================== 3 . 1.217 |==================================================================== ONNX Runtime 1.6 Model: fcn-resnet101-11 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 47 |====================================================================== 2 . 48 |======================================================================= 3 . 48 |======================================================================= rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 3.152 |==================================================================== 2 . 3.110 |=================================================================== 3 . 3.167 |==================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 235269400 |=============================================================== 2 . 233286800 |=============================================================== 3 . 237443733 |================================================================ rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.585 |==================================================================== 2 . 1.583 |==================================================================== 3 . 1.559 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 104.93 |=================================================================== 2 . 103.30 |================================================================== 3 . 103.47 |================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 44.40 |=================================================================== 2 . 44.49 |=================================================================== 3 . 45.02 |==================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 3.549 |==================================================================== 2 . 3.502 |=================================================================== 3 . 3.510 |=================================================================== rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.444 |=================================================================== 2 . 0.446 |==================================================================== 3 . 0.449 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 3.239 |=================================================================== 2 . 3.274 |==================================================================== 3 . 3.261 |==================================================================== CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 995.62 |================================================================= 2 . 998.08 |================================================================= 3 . 1005.82 |================================================================== ONNX Runtime 1.6 Model: super-resolution-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 3399 |===================================================================== 2 . 3367 |==================================================================== 3 . 3373 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 37.57 |==================================================================== 2 . 37.65 |==================================================================== 3 . 37.31 |=================================================================== ONNX Runtime 1.6 Model: bertsquad-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 447 |====================================================================== 2 . 443 |===================================================================== 3 . 443 |===================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 5.689 |=================================================================== 2 . 5.737 |==================================================================== 3 . 5.689 |=================================================================== ONNX Runtime 1.6 Model: yolov4 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 287 |====================================================================== 2 . 286 |====================================================================== 3 . 285 |====================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 3.625 |==================================================================== 2 . 3.619 |==================================================================== 3 . 3.640 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 1414.73 |================================================================== 2 . 1412.40 |================================================================== 3 . 1407.88 |================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 363.99 |=================================================================== 2 . 363.46 |=================================================================== 3 . 362.57 |=================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 31470733 |================================================================= 2 . 31495320 |================================================================= 3 . 31391677 |================================================================= TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 314.40 |=================================================================== 2 . 314.57 |=================================================================== 3 . 313.54 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 83.60 |==================================================================== 2 . 83.33 |==================================================================== 3 . 83.41 |==================================================================== OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 299.84 |=================================================================== 2 . 300.43 |=================================================================== 3 . 299.67 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms ns/day > Higher Is Better 1 . 3.602 |==================================================================== 2 . 3.609 |==================================================================== 3 . 3.609 |==================================================================== ONNX Runtime 1.6 Model: shufflenet-v2-10 - Device: OpenMP CPU Inferences Per Minute > Higher Is Better 1 . 16571 |==================================================================== 2 . 16555 |==================================================================== 3 . 16545 |==================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 391.22 |=================================================================== 2 . 391.46 |=================================================================== 3 . 391.82 |=================================================================== Google SynthMark 20201109 Test: VoiceMark_100 Voices > Higher Is Better 1 . 705.07 |=================================================================== 2 . 705.61 |=================================================================== 3 . 704.56 |=================================================================== Timed Godot Game Engine Compilation 3.2.3 Time To Compile Seconds < Lower Is Better 1 . 257.24 |=================================================================== 2 . 257.50 |=================================================================== 3 . 257.24 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 300.66 |=================================================================== 2 . 300.75 |=================================================================== 3 . 300.80 |=================================================================== OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 1209.70 |================================================================== 2 . 1209.99 |================================================================== 3 . 1210.29 |==================================================================