Tensorflow lite hardware acceleration G2 chip

Hey everyone,

I’m looking to take advantage of hardware acceleration on my Pixel 7 by using the G2. From what I’ve gathered, it seems like I can utilize the NNAPI for this purpose, and so far, it appears pretty straightforward. However, I’ve run into a bit of a confusion.

In the list of supported hardware for NNAPI, it mentions GPUs, DSPs, and NPUs. Yet, according to Google, the machine learning chip inside the G2 is a TPU. Now, I’m not much of a hardware expert, but I’m wondering if the TPU is a subset of an NPU or if support for it simply hasn’t been implemented yet.

Any insights or clarifications would be greatly appreciated!

Thanks in advance!

Yes, TPU is just the name of Google’s NPU. The NPU landscape is highly fragmented with every chip maker doing their own things, and Google’s way is TPU.


So can you just not do that? Get out of here with you AI generated answer, i will ask chatgpt if I want a LLM model to answer my question.

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