oneDNN Rembrandt
AMD Ryzen 7 PRO 6850U testing with a LENOVO 21CM0001US (R22ET51W 1.21 BIOS) and AMD Radeon 680M 1GB on Ubuntu 22.10 via the Phoronix Test Suite.


A: 

	Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765

	OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200

B: 

	Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765

	OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200

C: 

	Processor: AMD Ryzen 7 PRO 6850U @ 2.70GHz (8 Cores / 16 Threads), Motherboard: LENOVO 21CM0001US (R22ET51W 1.21 BIOS), Chipset: AMD Device 14b5, Memory: 16GB, Disk: 512GB Micron MTFDKBA512TFK, Graphics: AMD Radeon 680M 1GB (2200/400MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: Qualcomm QCNFA765

	OS: Ubuntu 22.10, Kernel: 6.0.0-060000rc2daily20220824-generic (x86_64), Desktop: GNOME Shell 42.4, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 22.1.3 (LLVM 14.0.6 DRM 3.48), Vulkan: 1.3.211, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1200


oneDNN 2.7
Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 1.87776 |================================================================
B . 1.93220 |==================================================================
C . 1.91210 |=================================================================


oneDNN 2.7
Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 4.80218 |================================================================
B . 4.92935 |==================================================================
C . 4.85891 |=================================================================


oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 10.86 |==================================================================
B . 11.03 |===================================================================
C . 11.14 |====================================================================


oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 1.54305 |=================================================================
B . 1.56700 |==================================================================
C . 1.57879 |==================================================================


oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 2639.95 |=================================================================
B . 2623.62 |=================================================================
C . 2670.26 |==================================================================


oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 8.50016 |=================================================================
B . 8.53713 |=================================================================
C . 8.61924 |==================================================================


oneDNN 2.7
Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 3.82342 |==================================================================
B . 3.78243 |=================================================================
C . 3.78366 |=================================================================


oneDNN 2.7
Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 2.04992 |==================================================================
B . 2.04064 |==================================================================
C . 2.03002 |=================================================================


oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 2644.99 |==================================================================
B . 2659.07 |==================================================================
C . 2663.41 |==================================================================


oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 12.15 |====================================================================
B . 12.22 |====================================================================
C . 12.17 |====================================================================


oneDNN 2.7
Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 2661.26 |==================================================================
B . 2650.22 |==================================================================
C . 2648.51 |==================================================================


Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 1B
Seconds < Lower Is Better
A . 64.51 |====================================================================
B . 64.20 |====================================================================
C . 64.24 |====================================================================


Y-Cruncher 0.7.10.9513
Pi Digits To Calculate: 500M
Seconds < Lower Is Better
A . 28.83 |====================================================================
B . 28.96 |====================================================================
C . 28.87 |====================================================================


oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 4951.13 |==================================================================
B . 4970.76 |==================================================================
C . 4961.32 |==================================================================


oneDNN 2.7
Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 8.11039 |==================================================================
B . 8.13746 |==================================================================
C . 8.12762 |==================================================================


oneDNN 2.7
Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU
ms < Lower Is Better
A . 2.65205 |==================================================================
B . 2.65736 |==================================================================
C . 2.66036 |==================================================================


oneDNN 2.7
Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 13.10 |====================================================================
B . 13.07 |====================================================================
C . 13.06 |====================================================================


oneDNN 2.7
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 3.22850 |==================================================================
B . 3.22637 |==================================================================
C . 3.23598 |==================================================================


oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU
ms < Lower Is Better
A . 4933.71 |==================================================================
B . 4941.41 |==================================================================
C . 4947.22 |==================================================================


oneDNN 2.7
Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU
ms < Lower Is Better
A . 4955.69 |==================================================================
B . 4957.35 |==================================================================
C . 4957.03 |==================================================================