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GoogLeNetQuantized

Profile Job Results

Jobs
jgn6y08v5
Results Ready
Name
googlenet_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, 5:53:31 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
3.90 ms
Estimated Peak Memory Usage
0 ‑ 9 MB
Compute Units
NPU
143
StageTimeMemory
First App Load
379 ms0‑9 MB
Subsequent App Load
424 ms0‑9 MB
Inference
3.90 ms0‑9 MB
QNNValue
default_graph_options.htp_options.precisionFLOAT16

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