8700K 2021 Intel Core i7-8700K testing with a ASUS TUF Z370-PLUS GAMING (2001 BIOS) and ASUS Intel UHD 630 3GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS TUF Z370-PLUS GAMING (2001 BIOS), Chipset: Intel 8th Gen Core, Memory: 16GB, Disk: 128GB THNSN5128GPU7 TOSHIBA, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200923-generic (x86_64) 20200922, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS TUF Z370-PLUS GAMING (2001 BIOS), Chipset: Intel 8th Gen Core, Memory: 16GB, Disk: 128GB THNSN5128GPU7 TOSHIBA, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200923-generic (x86_64) 20200922, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i7-8700K @ 4.70GHz (6 Cores / 12 Threads), Motherboard: ASUS TUF Z370-PLUS GAMING (2001 BIOS), Chipset: Intel 8th Gen Core, Memory: 16GB, Disk: 128GB THNSN5128GPU7 TOSHIBA, Graphics: ASUS Intel UHD 630 3GB (1200MHz), Audio: Realtek ALC887-VD, Monitor: VA2431, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200923-generic (x86_64) 20200922, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.8, OpenCL: OpenCL 2.1, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 1051.08 |================================================================== 2 . 1047.87 |================================================================== 3 . 1045.41 |================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 236393700 |================================================================ 2 . 236413233 |================================================================ 3 . 236364233 |================================================================ OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 286.13 |================================================================== 2 . 286.43 |================================================================== 3 . 289.75 |=================================================================== OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 1267.43 |================================================================== 2 . 1266.67 |================================================================== 3 . 1266.28 |================================================================== Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 1 . 1742.17 |================================================================== 2 . 1747.56 |================================================================== 3 . 1743.46 |================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms ns/day > Higher Is Better 1 . 4.935 |==================================================================== 2 . 4.883 |=================================================================== 3 . 4.919 |==================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 5.016 |==================================================================== 2 . 5.007 |==================================================================== 3 . 4.931 |=================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 1473.67 |================================================================== 2 . 1474.31 |================================================================== 3 . 1471.55 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 527.27 |=================================================================== 2 . 527.87 |=================================================================== 3 . 526.55 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 137.46 |=================================================================== 2 . 137.90 |=================================================================== 3 . 137.96 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 477.42 |=================================================================== 2 . 479.26 |=================================================================== 3 . 480.29 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 98.03 |==================================================================== 2 . 98.15 |==================================================================== 3 . 98.07 |==================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 5.256 |==================================================================== 2 . 5.254 |==================================================================== 3 . 5.289 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 38.36 |==================================================================== 2 . 38.38 |==================================================================== 3 . 38.56 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 3.097 |==================================================================== 2 . 3.088 |==================================================================== 3 . 3.091 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 3.788 |==================================================================== 2 . 3.789 |==================================================================== 3 . 3.769 |==================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 40.63 |=================================================================== 2 . 40.84 |==================================================================== 3 . 41.09 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 309.16 |=================================================================== 2 . 310.65 |=================================================================== 3 . 310.29 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 287.97 |=================================================================== 2 . 287.85 |=================================================================== 3 . 287.89 |=================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 37718990 |================================================================= 2 . 37775570 |================================================================= 3 . 37721280 |=================================================================