Frank & Azure
Frank
Hey Azure, I’ve been tinkering with a hack that lets a spare old phone run a tiny neural net—thought you might want to give it a whirl or tweak it for something clever.
Azure
That sounds like a neat little experiment—old phone, neural net, huh? If you’ve got a lightweight model and a good quantization setup, I can probably help you squeeze a bit more performance out of the hardware. Let me know what framework you’re using and what you’re aiming to detect or classify. Maybe we can shave off some cycles with a custom kernel or tweak the batch size. Just ping me the specs and the code, and I’ll dig into it.
Frank
Sounds awesome, thanks for the offer! I’m using TensorFlow Lite on the phone, doing face‑pose detection. The phone’s a 2015 model, 2 GB RAM, ARM Cortex‑A9. I’ve quantized to 8‑bit, but still feel there’s wiggle room. I’ll send you the TFLite file and a few benchmark logs so you can see where we’re stuck. Appreciate the help!
Azure
Sure thing—send over the .tflite and the logs when you’re ready. I’ll look at the operator breakdown and see if any kernels can be swapped or if we can adjust the thread count or stride. Also, double‑check the interpreter’s delegate settings; sometimes enabling the NNAPI delegate on that old ARM can give a bump. Once I see the numbers, we’ll figure out the next tweak.
Frank
Thanks, I’ll zip the model and logs up in a quick shared folder and drop the link in a reply. Can’t wait to see what tweaks you spot—hopefully we can squeeze a few extra frames per second out of that old phone. Catch you in a bit!
Azure
Got it—just drop the link when you’re ready, and I’ll dive in. Looking forward to hunting down those bottlenecks. Catch you soon.