The Neural Processing Unit (NPU) provides integrated AI capabilities and can perform up to 11 TOPS making a total compute performance of 34 TOPS after including 5 TOPS from the CPU and 18 TOPS from the iGPU.
Seems like a strange statement. Is there any software that can leverage this NPU, let alone use the NPU/iGPU/CPU in combination? And any rate, there are definitely ML use cases where your CPU will be busy processing workloads from the ML processes.
For video games? I don’t think the NPUs can run DLSS or FSR. Not to mention the iGPU is going to be struggling.
Video content upscaling is out of the question. My 3080 (240 tensor TOPS and 30 FP32 TFLOPS) takes about 15-25 minutes to upscale ~5-7 min SD content to HD. The CPU can also get hammered a lot since you’re also encoding the output file.
Not sd to hd. But even my Nvidia shield can do some real time ai upscaling
I’m not an expert on the matter, but I’m sure there’s plenty of usecases
https://www.talkandroid.com/guides/nvidia-shield-tv-ai-upscaling/