onednn 3.0 threadripper
AMD Ryzen Threadripper 3990X 64-Core testing with a Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.10 via the Phoronix Test Suite.


a: 

	Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200

	OS: Ubuntu 22.10, Kernel: 6.1.0-rc8-phx-mglru (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.49), Vulkan: 1.3.224, Compiler: GCC 12.2.0 + LLVM 15.0.2, File-System: ext4, Screen Resolution: 3840x2160

b: 

	Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200

	OS: Ubuntu 22.10, Kernel: 6.1.0-rc8-phx-mglru (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.49), Vulkan: 1.3.224, Compiler: GCC 12.2.0 + LLVM 15.0.2, File-System: ext4, Screen Resolution: 3840x2160

cc: 

	Processor: AMD Ryzen Threadripper 3990X 64-Core @ 2.90GHz (64 Cores / 128 Threads), Motherboard: Gigabyte TRX40 AORUS PRO WIFI (F4p BIOS), Chipset: AMD Starship/Matisse, Memory: 128GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Radeon RX 5700 8GB (1750/875MHz), Audio: AMD Navi 10 HDMI Audio, Monitor: DELL P2415Q, Network: Intel I211 + Intel Wi-Fi 6 AX200

	OS: Ubuntu 22.10, Kernel: 6.1.0-rc8-phx-mglru (x86_64), Desktop: GNOME Shell 43.0, Display Server: X Server 1.21.1.4 + Wayland, OpenGL: 4.6 Mesa 22.2.1 (LLVM 15.0.2 DRM 3.49), Vulkan: 1.3.224, Compiler: GCC 12.2.0 + LLVM 15.0.2, File-System: ext4, Screen Resolution: 3840x2160


oneDNN 3.0
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 3.92526 |=================================================================
b .. 2.03399 |==================================
cc . 1.65081 |===========================


oneDNN 3.0
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 5.52121 |===============================================
b .. 7.54120 |================================================================
cc . 7.68970 |=================================================================


oneDNN 3.0
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a .. 2.44556 |=============================================================
b .. 2.62054 |=================================================================
cc . 2.42089 |============================================================


oneDNN 3.0
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a .. 1.34962 |=============================================================
b .. 1.36747 |==============================================================
cc . 1.42830 |=================================================================


oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 1.039830 |============================================================
b .. 1.108050 |================================================================
cc . 0.941291 |======================================================


oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 9.82269  |==============================================================
b .. 9.88978  |===============================================================
cc . 10.11480 |================================================================


oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 2.08900 |=================================================================
b .. 2.09561 |=================================================================
cc . 2.07244 |================================================================


oneDNN 3.0
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a .. 6.48281 |===============================================================
b .. 6.58094 |================================================================
cc . 6.67325 |=================================================================


oneDNN 3.0
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a .. 1.72926 |================================================================
b .. 1.74884 |=================================================================
cc . 1.60670 |============================================================


oneDNN 3.0
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a .. 0.995989 |================================================================
b .. 0.975595 |===============================================================
cc . 0.957802 |==============================================================


oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 5197.15 |================================================================
b .. 5182.40 |================================================================
cc . 5246.90 |=================================================================


oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 1291.22 |=================================================================
b .. 1291.11 |=================================================================
cc . 1297.12 |=================================================================


oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a .. 5182.24 |================================================================
b .. 5208.02 |=================================================================
cc . 5236.44 |=================================================================


oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a .. 1281.82 |===============================================================
b .. 1324.29 |=================================================================
cc . 1322.57 |=================================================================


oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
a .. 8.64383  |=====================================================
b .. 10.28060 |===============================================================
cc . 10.41480 |================================================================


oneDNN 3.0
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a .. 5273.92 |=================================================================
b .. 5109.34 |===============================================================
cc . 5269.95 |=================================================================


oneDNN 3.0
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
a .. 1358.93 |=================================================================
b .. 1314.16 |===============================================================
cc . 1268.47 |=============================================================


oneDNN 3.0
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
a .. 12.76 |==============================================================
b .. 10.62 |===================================================
cc . 13.90 |===================================================================