onednn 7950X
AMD Ryzen 9 7950X 16-Core testing with a ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS) and NVIDIA GeForce RTX 4080 16GB on Ubuntu 23.10 via the Phoronix Test Suite.


a: 

	Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DRAM-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Samsung SSD 980 PRO 2TB + 4001GB Western Digital WD_BLACK SN850X 4000GB, Graphics: NVIDIA GeForce RTX 4080 16GB, Audio: NVIDIA Device 22bb, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

	OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA 550.40.07, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.4.74, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160

b: 

	Processor: AMD Ryzen 9 7950X 16-Core @ 5.88GHz (16 Cores / 32 Threads), Motherboard: ASUS ROG STRIX X670E-E GAMING WIFI (1416 BIOS), Chipset: AMD Device 14d8, Memory: 2 x 16GB DRAM-6000MT/s G Skill F5-6000J3038F16G, Disk: 2000GB Samsung SSD 980 PRO 2TB + 4001GB Western Digital WD_BLACK SN850X 4000GB, Graphics: NVIDIA GeForce RTX 4080 16GB, Audio: NVIDIA Device 22bb, Monitor: DELL U2723QE, Network: Intel I225-V + Intel Wi-Fi 6 AX210/AX211/AX411

	OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server 1.21.1.7, Display Driver: NVIDIA 550.40.07, OpenGL: 4.6.0, OpenCL: OpenCL 3.0 CUDA 12.4.74, Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 3840x2160


oneDNN 3.4
Harness: IP Shapes 1D - Engine: CPU
ms < Lower Is Better
a . 1.06231 |==================================================================
b . 1.03761 |================================================================


oneDNN 3.4
Harness: IP Shapes 3D - Engine: CPU
ms < Lower Is Better
a . 3.11170 |==================================================================
b . 3.10770 |==================================================================


oneDNN 3.4
Harness: Convolution Batch Shapes Auto - Engine: CPU
ms < Lower Is Better
a . 5.59022 |==================================================================
b . 5.58729 |==================================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_1d - Engine: CPU
ms < Lower Is Better
a . 2.87117 |==================================================================
b . 2.89074 |==================================================================


oneDNN 3.4
Harness: Deconvolution Batch shapes_3d - Engine: CPU
ms < Lower Is Better
a . 2.42943 |==================================================================
b . 2.41923 |==================================================================


oneDNN 3.4
Harness: Recurrent Neural Network Training - Engine: CPU
ms < Lower Is Better
a . 1298.37 |==================================================================
b . 1288.33 |=================================================================


oneDNN 3.4
Harness: Recurrent Neural Network Inference - Engine: CPU
ms < Lower Is Better
a . 667.06 |===================================================================
b . 662.83 |===================================================================