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Qualcomm® AI Hub Models
DDRNet23-Slim

Profile Job Results

Jobs
j56eyovvg
Results Ready
Name
ddrnet23_slim
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1280, 640, 3]
Completion Time
4/8/2025, 6:58:47 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386-auto
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
8.96 s
Estimated Peak Memory Usage
1,420 ‑ 11,771 GB
Compute Units
NPU
153
StageTimeMemory
First App Load
4.36 min1,280‑11,196 GB
Subsequent App Load
5.41 min232‑10,806 GB
Inference
8.96 s1,420‑11,771 GB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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