1280 v5 Monday Intel Xeon E3-1280 v5 testing with a MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS) and ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon E3-1280 v5 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: MSI Z170A SLI PLUS (MS-7998) v1.0 (2.A0 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 32GB, Disk: 256GB TOSHIBA RD400, Graphics: ASUS AMD Radeon HD 7850 / R7 265 R9 270 1024SP, Audio: Realtek ALC1150, Monitor: DELL S2409W, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc2daily20200826-generic (x86_64) 20200825, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.5 Mesa 20.0.8 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 1228.17 |================================================================== 2 . 1219.71 |================================================================== 3 . 1225.67 |================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 173376267 |================================================================ 2 . 173386667 |================================================================ 3 . 173308700 |================================================================ OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 385.57 |=================================================================== 2 . 385.83 |=================================================================== 3 . 387.13 |=================================================================== Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 1 . 2371.91 |================================================================= 2 . 2398.37 |================================================================== 3 . 2359.93 |================================================================= LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 2.903 |==================================================================== 2 . 2.877 |=================================================================== 3 . 2.879 |=================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 1159.28 |================================================================== 2 . 1156.35 |================================================================== 3 . 1155.90 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 312.48 |=================================================================== 2 . 311.84 |=================================================================== 3 . 311.73 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 84.36 |==================================================================== 2 . 83.83 |==================================================================== 3 . 83.89 |==================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 289.09 |=================================================================== 2 . 288.39 |=================================================================== 3 . 288.68 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 67.51 |==================================================================== 2 . 67.41 |==================================================================== 3 . 67.40 |==================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 7.070 |==================================================================== 2 . 7.067 |==================================================================== 3 . 7.059 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 48.18 |==================================================================== 2 . 48.13 |==================================================================== 3 . 48.26 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 4.029 |==================================================================== 2 . 4.034 |==================================================================== 3 . 4.024 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.565 |==================================================================== 2 . 4.550 |==================================================================== 3 . 4.569 |==================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 55.43 |==================================================================== 2 . 55.50 |==================================================================== 3 . 55.69 |==================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 25378577 |================================================================ 2 . 25647227 |================================================================= 3 . 25609250 |=================================================================