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ResNet50Quantized

Profile Job Results

Jobs
jgkeolzog
Results Ready
Name
resnet50_quantized
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
11/26/2024, 4:11:21 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: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
1.87 ms
Estimated Peak Memory Usage
0 ‑ 6 MB
Compute Units
NPU
127
StageTimeMemory
First App Load
147 ms1‑7 MB
Subsequent App Load
140 ms1‑7 MB
Inference
1.87 ms0‑6 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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