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Qualcomm® AI Hub Models
NAFNet-DeBlur

Profile Job Results

Jobs
jp0kn0qn5
Results Ready
Name
nafnet_deblur
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 360, 640, 3]
Completion Time
6/14/2026, 12:19:53 AM
Versions
  • LiteRT: 1.4.4
  • Android: 14 (UAG2.240908.001)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
  • AI Hub: aihub-2026.06.08.2
Estimated Inference Time
998 ms
Estimated Peak Memory Usage
0 ‑ 44 MB
Compute Units
GPU
1334
StageTimeMemory
First App Load
1.06 min645‑651 MB
Subsequent App Load
2.67 s505‑559 MB
Inference
998 ms0‑44 MB
Lite RTValue
number_of_threads4
GPUv2 DelegateValue
inference_preferenceTFLITE_GPU_INFERENCE_PREFERENCE_SUSTAINED_SPEED
inference_priority1TFLITE_GPU_INFERENCE_PRIORITY_MIN_LATENCY
inference_priority2TFLITE_GPU_INFERENCE_PRIORITY_MIN_MEMORY_USAGE
inference_priority3TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION

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