Because the NPU isn't for high-end inferencing. It's a relatively small coprocessor that is supposed to do bunch of tasks with high TOPS/watt without engaging the way more power hungry GPU.
At release time, the windows driver for example included few video processing offloads used by Windows Frameworks used for example by MS Teams for background removal - so that such tasks use less battery on laptops and free up CPU/GPU for other tasks on desktop.
For higher end processing you can use the same AIE-ML coprocessors various chips available previously from Xilinx and now under AMD brand.
At release time, the windows driver for example included few video processing offloads used by Windows Frameworks used for example by MS Teams for background removal - so that such tasks use less battery on laptops and free up CPU/GPU for other tasks on desktop.
For higher end processing you can use the same AIE-ML coprocessors various chips available previously from Xilinx and now under AMD brand.