Card: measured device / browser results (edge-compat, 2026-09)
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README.md
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base_model_relation: quantized
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# NAFNet-GoPro-width32 — LiteRT (on-device image deblur, fully-GPU)
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[NAFNet](https://github.com/megvii-research/NAFNet) (Nonlinear Activation Free Network, ECCV 2022) image
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base_model_relation: quantized
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Measured on device (edge-compat): Galaxy S26 · LiteRT 2.2.0 · GPU (ML Drift) · 30.9 ms p50 (2026-08-26); Galaxy S26 · LiteRT 2.2.0 · NPU (QNN/HTP) · 18.6 ms p50 (2026-08-26); Raspberry Pi 5 · LiteRT 2.2.0.dev20260804 · CPU/XNNPACK, 4 threads · 821 ms p50 (2026-08-31); browser · Chromium 151 on M4 Max · LiteRT.js 2.5.3 · WebGPU · 20.8 ms p50 · output matches CPU (2026-08-11). Record: https://github.com/john-rocky/edge-compat/blob/main/cards/nafnet-gopro-width32/CARD.md
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# NAFNet-GoPro-width32 — LiteRT (on-device image deblur, fully-GPU)
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[NAFNet](https://github.com/megvii-research/NAFNet) (Nonlinear Activation Free Network, ECCV 2022) image
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