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AMD Ryzen 9 5950X 16-Core testing with a Gigabyte X570 AORUS ELITE WIFI (F37c BIOS) and eVGA NVIDIA GeForce GTX 1060 6GB on Gentoo Linux 2.8 via the Phoronix Test Suite.


AMD Ryzen 9 5950X 16-Core: 

	Processor: AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads), Motherboard: Gigabyte X570 AORUS ELITE WIFI (F37c BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 8 GB DDR4-3200MT/s CMK16GX4M2Z3200C16, Disk: 2 x 1000GB Samsung SSD 980 PRO 1TB, Graphics: eVGA NVIDIA GeForce GTX 1060 6GB, Audio: NVIDIA GP106 HD Audio, Network: Intel I211 + Intel Dual Band-AC 3168NGW

	OS: Gentoo Linux 2.8, Kernel: 5.18.0-gentoo-harambe-edition (x86_64), Desktop: KDE Plasma 5.24.5, Display Server: X Server 1.21.1.3, Display Driver: NVIDIA 510.73.05, Compiler: GCC 11.2.1 20220115, File-System: ext4, Screen Resolution: 1920x1080


Etcpak 0.7
Configuration: DXT1
Mpx/s > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 1615.83 |==========================================


Etcpak 0.7
Configuration: ETC1
Mpx/s > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 384.97 |===========================================


Etcpak 0.7
Configuration: ETC2
Mpx/s > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 239.25 |===========================================


Etcpak 0.7
Configuration: ETC1 + Dithering
Mpx/s > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 345.96 |===========================================


dav1d 1.0
Video Input: Chimera 1080p
FPS > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 776.08 |===========================================


dav1d 1.0
Video Input: Summer Nature 4K
FPS > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 288.59 |===========================================


dav1d 1.0
Video Input: Summer Nature 1080p
FPS > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 1141.03 |==========================================


dav1d 1.0
Video Input: Chimera 1080p 10-bit
FPS > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 635.47 |===========================================


SVT-AV1 1.0
Encoder Mode: Preset 4 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 3.324 |============================================


SVT-AV1 1.0
Encoder Mode: Preset 8 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 55.05 |============================================


SVT-AV1 1.0
Encoder Mode: Preset 10 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 121.53 |===========================================


SVT-AV1 1.0
Encoder Mode: Preset 12 - Input: Bosphorus 4K
Frames Per Second > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 140.34 |===========================================


SVT-AV1 1.0
Encoder Mode: Preset 4 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 7.080 |============================================


SVT-AV1 1.0
Encoder Mode: Preset 8 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 173.88 |===========================================


SVT-AV1 1.0
Encoder Mode: Preset 10 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 331.77 |===========================================


SVT-AV1 1.0
Encoder Mode: Preset 12 - Input: Bosphorus 1080p
Frames Per Second > Higher Is Better
AMD Ryzen 9 5950X 16-Core . 549.32 |===========================================


oneDNN 2.6
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD Ryzen 9 5950X 16-Core . 2.52419 |==========================================


oneDNN 2.6
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD Ryzen 9 5950X 16-Core . 5.15262 |==========================================


oneDNN 2.6
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD Ryzen 9 5950X 16-Core . 9.75642 |==========================================


oneDNN 2.6
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD Ryzen 9 5950X 16-Core . 3.76898 |==========================================


oneDNN 2.6
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD Ryzen 9 5950X 16-Core . 3.36770 |==========================================


oneDNN 2.6
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD Ryzen 9 5950X 16-Core . 1984.15 |==========================================


oneDNN 2.6
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD Ryzen 9 5950X 16-Core . 1252.78 |==========================================


oneDNN 2.6
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
AMD Ryzen 9 5950X 16-Core . 1.578583 |=========================================


FFmpeg 4.0.2
H.264 HD To NTSC DV
Seconds < Lower Is Better
AMD Ryzen 9 5950X 16-Core . 4.118 |============================================