⚡ The hard part of on-device AI isn't the model. It's the 16.6ms. At 60fps that's your entire bud...⚡ The hard part of on-device AI isn't the model. It's the 16.6ms. At 60fps that's your entire bud...
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⚡ The hard part of on-device AI isn't the model. It's the 16.6ms.
At 60fps that's your entire budget — capture, preprocess, inference, postprocess, render. Blow it and users don't say "the AI is slow." They say the app is broken.
What actually bought us headroom shipping photo editing apps:
• Keep tensors on the ANE — every CPU↔GPU copy costs more than the layer you were busy optimizing
• fp16 first, measure, then reach for int8
• Run inference at preview resolution; go full-res only on export
• Profile on the oldest device you support, not the one on your desk
Nobody claps for the architecture. They clap for the thing that felt instant.
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