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Depth-Anything

Profile Job Results

Jobs
jp149oklp
Results Ready
Name
depth_anything
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 518, 518, 3]
Completion Time
1/8/2025, 8:33:24 AM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
230 ms
Estimated Peak Memory Usage
3 ‑ 6 MB
Compute Units
NPU
494
StageTimeMemory
First App Load
348 ms1‑2 MB
Subsequent App Load
362 ms1‑2 MB
Inference
230 ms3‑6 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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