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SqueezeNet-1_1Quantized

Profile Job Results

Jobs
jp3jx4zmg
Results Ready
Name
squeezenet1_1_quantized
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
11/26/2024, 2:10:23 PM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
431 μs
Estimated Peak Memory Usage
0 ‑ 1 MB
Compute Units
NPU
71
StageTimeMemory
First App Load
185 ms1‑2 MB
Subsequent App Load
187 ms1‑2 MB
Inference
431 μs0‑1 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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