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Qualcomm® AI Hub Models
ResNet50

Profile Job Results

Jobs
jpy1qr38p
Results Ready
Name
resnet50
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]
Completion Time
11/26/2024, 11:15:02 AM
Versions
  • QNN: v2.28.0.241029232508_102474-auto
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
4.23 ms
Estimated Peak Memory Usage
1 ‑ 6 MB
Compute Units
NPU
126
StageTimeMemory
First App Load
278 ms2‑8 MB
Subsequent App Load
1.23 s11‑17 MB
Inference
4.23 ms1‑6 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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