Xeon Gold Tues Intel Xeon Gold 6226R testing with a Supermicro X11SPL-F v1.02 (3.1 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 188GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200921-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 188GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200921-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: Intel Xeon Gold 6226R @ 3.90GHz (16 Cores / 32 Threads), Motherboard: Supermicro X11SPL-F v1.02 (3.1 BIOS), Chipset: Intel Sky Lake-E DMI3 Registers, Memory: 188GB, Disk: 3841GB Micron_9300_MTFDHAL3T8TDP, Graphics: llvmpipe, Monitor: VE228, Network: 2 x Intel I210 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200921-generic (x86_64) 20200920, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 3.3 Mesa 20.0.8 (LLVM 10.0.0 256 bits), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 CP2K Molecular Dynamics 8.1 Fayalite-FIST Data Seconds < Lower Is Better 1 . 1345.08 |================================================================== 2 . 1329.61 |================================================================= 3 . 1327.50 |================================================================= Algebraic Multi-Grid Benchmark 1.2 Figure Of Merit > Higher Is Better 1 . 690165533 |================================================================ 2 . 694797267 |================================================================ 3 . 692054100 |================================================================ OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 79.84 |==================================================================== 2 . 79.28 |==================================================================== 3 . 79.76 |==================================================================== OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 430.52 |=================================================================== 2 . 431.70 |=================================================================== 3 . 430.01 |=================================================================== Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 1 . 1689.54 |================================================================== 2 . 1686.41 |================================================================== 3 . 1689.41 |================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms ns/day > Higher Is Better 1 . 8.526 |==================================================================== 2 . 8.468 |==================================================================== 3 . 8.414 |=================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 7.661 |================================================================= 2 . 7.713 |================================================================== 3 . 7.980 |==================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 7343.17 |================================================================= 2 . 7236.74 |================================================================= 3 . 7399.53 |================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 549.88 |=================================================================== 2 . 550.23 |=================================================================== 3 . 549.17 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 196.90 |=================================================================== 2 . 196.66 |=================================================================== 3 . 196.39 |=================================================================== dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 478.76 |=================================================================== 2 . 480.01 |=================================================================== 3 . 480.60 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 77.04 |==================================================================== 2 . 76.90 |==================================================================== 3 . 76.81 |==================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 6.512 |==================================================================== 2 . 6.385 |=================================================================== 3 . 6.486 |==================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 32.28 |=================================================================== 2 . 32.45 |==================================================================== 3 . 32.53 |==================================================================== Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 3.883 |==================================================================== 2 . 3.899 |==================================================================== 3 . 3.904 |==================================================================== Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 2.607 |==================================================================== 2 . 2.591 |==================================================================== 3 . 2.579 |=================================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 42.09 |==================================================================== 2 . 41.77 |=================================================================== 3 . 42.23 |==================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 350.78 |=================================================================== 2 . 350.66 |=================================================================== 3 . 351.33 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 344.91 |=================================================================== 2 . 344.86 |=================================================================== 3 . 344.95 |=================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 103828400 |================================================================ 2 . 103439640 |================================================================ 3 . 102969048 |===============================================================