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ResNet18Quantized

Profile Job Results

Jobs
jped1olo5
Results Ready
Name
resnet18_quantized
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
1/21/2025, 5:31:08 PM
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.r2-00012-STD.PROD-5
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
4.91 ms
Estimated Peak Memory Usage
0 ‑ 9 MB
Compute Units
NPU
54
StageTimeMemory
First App Load
412 ms0‑10 MB
Subsequent App Load
528 ms0‑10 MB
Inference
4.91 ms0‑9 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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