2970WX new 2021 AMD Ryzen Threadripper 2970WX 24-Core testing with a Gigabyte X399 AORUS Gaming 7 (F12h BIOS) and Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB on Ubuntu 20.04 via the Phoronix Test Suite. 1: Processor: AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads), Motherboard: Gigabyte X399 AORUS Gaming 7 (F12h BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB Corsair Force MP500, Graphics: Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz), Audio: Realtek ALC1220, Monitor: DELL S2409W, Network: Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200926-generic (x86_64) 20200925, 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 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: Processor: AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads), Motherboard: Gigabyte X399 AORUS Gaming 7 (F12h BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB Corsair Force MP500, Graphics: Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz), Audio: Realtek ALC1220, Monitor: DELL S2409W, Network: Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200926-generic (x86_64) 20200925, 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 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: Processor: AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads), Motherboard: Gigabyte X399 AORUS Gaming 7 (F12h BIOS), Chipset: AMD 17h, Memory: 16GB, Disk: 120GB Corsair Force MP500, Graphics: Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz), Audio: Realtek ALC1220, Monitor: DELL S2409W, Network: Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275 OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc6daily20200926-generic (x86_64) 20200925, 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 (LLVM 10.0.0), Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Quantum ESPRESSO 6.7 Input: AUSURF112 Seconds < Lower Is Better 1 . 1923.91 |================================================================== 2 . 1894.35 |================================================================= 3 . 1870.77 |================================================================ OpenFOAM 8 Input: Motorbike 60M Seconds < Lower Is Better 1 . 692.06 |=================================================================== 2 . 696.91 |=================================================================== 3 . 689.71 |================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: 20k Atoms ns/day > Higher Is Better 1 . 12.09 |=================================================================== 2 . 11.83 |================================================================== 3 . 12.23 |==================================================================== Kripke 1.2.4 Throughput FoM > Higher Is Better 1 . 36486981 |================================================================ 2 . 36892895 |================================================================= 3 . 35712979 |=============================================================== Mobile Neural Network 1.1.1 Model: inception-v3 ms < Lower Is Better 1 . 66.71 |==================================================================== 2 . 63.64 |================================================================= 3 . 63.26 |================================================================ Mobile Neural Network 1.1.1 Model: mobilenet-v1-1.0 ms < Lower Is Better 1 . 4.824 |================================================================= 2 . 5.015 |==================================================================== 3 . 4.781 |================================================================= Mobile Neural Network 1.1.1 Model: MobileNetV2_224 ms < Lower Is Better 1 . 7.590 |==================================================================== 2 . 7.000 |=============================================================== 3 . 7.359 |================================================================== Mobile Neural Network 1.1.1 Model: resnet-v2-50 ms < Lower Is Better 1 . 47.43 |==================================================================== 2 . 46.75 |=================================================================== 3 . 47.44 |==================================================================== Mobile Neural Network 1.1.1 Model: SqueezeNetV1.0 ms < Lower Is Better 1 . 11.77 |==================================================================== 2 . 11.64 |=================================================================== 3 . 11.82 |==================================================================== OpenFOAM 8 Input: Motorbike 30M Seconds < Lower Is Better 1 . 70.37 |==================================================================== 2 . 66.16 |================================================================ 3 . 69.25 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p 10-bit FPS > Higher Is Better 1 . 106.17 |=================================================================== 2 . 105.27 |================================================================== 3 . 105.74 |=================================================================== dav1d 0.8.1 Video Input: Chimera 1080p FPS > Higher Is Better 1 . 490.81 |=================================================================== 2 . 491.46 |=================================================================== 3 . 493.50 |=================================================================== TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 299.80 |=================================================================== 2 . 297.12 |================================================================== 3 . 299.81 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 265.21 |=================================================================== 2 . 263.47 |=================================================================== 3 . 260.64 |================================================================== dav1d 0.8.1 Video Input: Summer Nature 4K FPS > Higher Is Better 1 . 199.20 |=================================================================== 2 . 197.99 |=================================================================== 3 . 195.58 |================================================================== LAMMPS Molecular Dynamics Simulator 29Oct2020 Model: Rhodopsin Protein ns/day > Higher Is Better 1 . 11.22 |================================================================== 2 . 11.48 |==================================================================== 3 . 11.35 |=================================================================== LULESH 2.0.3 z/s > Higher Is Better 1 . 6818.76 |================================================================== 2 . 6761.38 |================================================================= 3 . 6663.42 |================================================================ dav1d 0.8.1 Video Input: Summer Nature 1080p FPS > Higher Is Better 1 . 512.04 |================================================================== 2 . 508.22 |================================================================== 3 . 516.29 |===================================================================