9400F Weds Intel Core i5-9400F testing with a MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS) and MSI NVIDIA NV106 1GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Core i5-9400F @ 4.10GHz (6 Cores), Motherboard: MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 256GB SAMSUNG MZVPW256HEGL-000H7, Graphics: MSI NVIDIA NV106 1GB, Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.3 Mesa 20.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Core i5-9400F @ 4.10GHz (6 Cores), Motherboard: MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 256GB SAMSUNG MZVPW256HEGL-000H7, Graphics: MSI NVIDIA NV106 1GB, Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.3 Mesa 20.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Core i5-9400F @ 4.10GHz (6 Cores), Motherboard: MSI B360M GAMING PLUS (MS-7B19) v1.0 (1.10 BIOS), Chipset: Intel Cannon Lake PCH, Memory: 16GB, Disk: 256GB SAMSUNG MZVPW256HEGL-000H7, Graphics: MSI NVIDIA NV106 1GB, Audio: Realtek ALC887-VD, Monitor: G237HL, Network: Intel I219-V OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc7daily20200928-generic (x86_64) 20200927, Desktop: GNOME Shell 3.36.0, Display Server: X Server 1.20.7, Display Driver: modesetting 1.20.7, OpenGL: 4.3 Mesa 20.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 1158.68 |================================================================== 2 . 1155.08 |================================================================== 3 . 1161.45 |================================================================== Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 205249633 |================================================================ 2 . 204556667 |================================================================ 3 . 204425333 |================================================================ OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 379.76 |================================================================= 2 . 391.01 |=================================================================== 3 . 385.60 |================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 4.435 |==================================================================== 2 . 4.441 |==================================================================== 3 . 4.429 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 1261.79 |================================================================== 2 . 1251.81 |================================================================= 3 . 1251.70 |================================================================= dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 355.62 |=================================================================== 2 . 352.56 |================================================================== 3 . 353.79 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 99.19 |==================================================================== 2 . 96.36 |================================================================== 3 . 96.41 |================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 340.02 |=================================================================== 2 . 337.49 |=================================================================== 3 . 338.49 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 85.31 |==================================================================== 2 . 84.84 |==================================================================== 3 . 85.07 |==================================================================== rav1e 0.4 Speed: 1 Frames Per Second > Higher Is Better 1 . 0.403 |==================================================================== 2 . 0.401 |==================================================================== 3 . 0.401 |==================================================================== rav1e 0.4 Speed: 5 Frames Per Second > Higher Is Better 1 . 1.141 |==================================================================== 2 . 1.137 |==================================================================== 3 . 1.135 |==================================================================== rav1e 0.4 Speed: 6 Frames Per Second > Higher Is Better 1 . 1.504 |==================================================================== 2 . 1.498 |==================================================================== 3 . 1.498 |==================================================================== rav1e 0.4 Speed: 10 Frames Per Second > Higher Is Better 1 . 3.316 |==================================================================== 2 . 3.306 |==================================================================== 3 . 3.303 |==================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 5.001 |=================================================================== 2 . 5.042 |==================================================================== 3 . 4.983 |=================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 26.83 |==================================================================== 2 . 26.92 |==================================================================== 3 . 26.88 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 3.374 |==================================================================== 2 . 3.386 |==================================================================== 3 . 3.375 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 3.501 |=================================================================== 2 . 3.539 |==================================================================== 3 . 3.497 |=================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 31.17 |==================================================================== 2 . 31.18 |==================================================================== 3 . 30.98 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 325.56 |================================================================== 2 . 328.07 |=================================================================== 3 . 324.89 |================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 330.10 |=================================================================== 2 . 330.30 |=================================================================== 3 . 329.99 |=================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 39617950 |================================================================= 2 . 39321440 |================================================================= 3 . 39304117 |================================================================