Thanks for your reply. I understand that. Main things I would like to know is, is there any application or method that customer can see NPU utilize in LLM or non LLM apps.
There is we have additional findings regarding the 8700G CPU that I would like to share.
Based on the information provided in the link below, the tests conducted on the 8700G CPU resulted in a Passed outcome. We also confirmed that, although minimal, NPU resources are being utilized in the Windows 11 environment.
Installation Instructions — Ryzen AI Software 1.4 documentation

First, it identified the 8700G CPU as a PHX/HPT type.
Referring to the script content of quicktest.py, it used the following random image as input for the Test_model.onnx model:
image_array = np.random.rand(3, 32, 32).astype(np.float32)
Out of 398 NPU units, vector operations for the subgraph were actually performed on 1 NPU unit.

The output values were processed and generated correctly, and at the very end, "Test Passed" was displayed.
Even without a complex AI LLM model, if there are applications that can utilize NPU resources as in the above test scenario, we can highlight that the AMD 8700G CPU has a competitive edge in the AI field compared to Intel CPUs without NPU resources.
Would you please advise?