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MobileNet-v2-Quantized

Profile Job Results

Jobs
jp0zdeen5
Results Ready
Name
mobilenet_v2_quantized
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
11/26/2024, 4:31:23 PM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
589 μs
Estimated Peak Memory Usage
0 ‑ 1 MB
Compute Units
NPU
105
StageTimeMemory
First App Load
167 ms1‑2 MB
Subsequent App Load
160 ms1‑2 MB
Inference
589 μs0‑1 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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