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Shufflenet-v2Quantized

Profile Job Results

Jobs
jp0zw9we5
Results Ready
Name
shufflenet_v2_quantized
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
1/8/2025, 9:21:45 AM
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-2025.01.04.0
Estimated Inference Time
530 μs
Estimated Peak Memory Usage
0 ‑ 4 MB
Compute Units
NPU
160
StageTimeMemory
First App Load
153 ms0‑2 MB
Subsequent App Load
147 ms0‑2 MB
Inference
530 μs0‑4 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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