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Qualcomm® AI Hub Models
Unet-Segmentation

Profile Job Results

Jobs
j5qwj7475
Results Ready
Name
unet_segmentation
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 640, 1280, 3]
Completion Time
6/14/2026, 7:50:49 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
2.22 s
Estimated Peak Memory Usage
3 ‑ 21 MB
Compute Units
GPU
31
StageTimeMemory
First App Load
16.2 min753‑758 MB
Subsequent App Load
2.75 s555‑575 MB
Inference
2.22 s3‑21 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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