Ryzen 9 3950X Ubuntu
AMD Ryzen 9 3950X 16-Core testing with a ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS) and AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB on Ubuntu 20.04 via the Phoronix Test Suite.


Q1: 

	Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

	OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200821-generic (x86_64) 20200820, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-32dc71b 2020-08-22 focal-oibaf-ppa) (LLVM 10.0.1), Vulkan: 1.2.146, File-System: ext4, Screen Resolution: 2560x1440

Q2: 

	Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

	OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200821-generic (x86_64) 20200820, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-32dc71b 2020-08-22 focal-oibaf-ppa) (LLVM 10.0.1), Vulkan: 1.2.146, File-System: ext4, Screen Resolution: 2560x1440

Q3: 

	Processor: AMD Ryzen 9 3950X 16-Core @ 3.50GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG CROSSHAIR VIII HERO (WI-FI) (1302 BIOS), Chipset: AMD Starship/Matisse, Memory: 16GB, Disk: 2000GB Corsair Force MP600 + 2000GB, Graphics: AMD Radeon RX 5600 OEM/5600 XT / 5700/5700 8GB (2100/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Realtek RTL8125 2.5GbE + Intel I211 + Intel Wi-Fi 6 AX200

	OS: Ubuntu 20.04, Kernel: 5.9.0-050900rc1daily20200821-generic (x86_64) 20200820, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: amdgpu 19.1.0, OpenGL: 4.6 Mesa 20.3.0-devel (git-32dc71b 2020-08-22 focal-oibaf-ppa) (LLVM 10.0.1), Vulkan: 1.2.146, File-System: ext4, Screen Resolution: 2560x1440


NAMD 2.14
ATPase Simulation - 327,506 Atoms
days/ns < Lower Is Better
Q1 . 1.13204 |=================================================================
Q2 . 1.11931 |================================================================
Q3 . 1.11761 |================================================================


TensorFlow Lite 2020-08-23
Model: SqueezeNet
Microseconds < Lower Is Better
Q1 . 103957 |==================================================================
Q2 . 104117 |==================================================================
Q3 . 104080 |==================================================================


TensorFlow Lite 2020-08-23
Model: Inception V4
Microseconds < Lower Is Better
Q1 . 1474573 |=================================================================
Q2 . 1473453 |=================================================================
Q3 . 1476337 |=================================================================


TensorFlow Lite 2020-08-23
Model: NASNet Mobile
Microseconds < Lower Is Better
Q1 . 122765 |==================================================================
Q2 . 122494 |==================================================================
Q3 . 122381 |==================================================================


TensorFlow Lite 2020-08-23
Model: Mobilenet Float
Microseconds < Lower Is Better
Q1 . 69314.6 |=================================================================
Q2 . 69370.4 |=================================================================
Q3 . 69362.2 |=================================================================


TensorFlow Lite 2020-08-23
Model: Mobilenet Quant
Microseconds < Lower Is Better
Q1 . 71704.8 |=================================================================
Q2 . 71660.8 |=================================================================
Q3 . 71699.0 |=================================================================


TensorFlow Lite 2020-08-23
Model: Inception ResNet V2
Microseconds < Lower Is Better
Q1 . 1330227 |=================================================================
Q2 . 1330030 |=================================================================
Q3 . 1329480 |=================================================================