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DeepLabV3-Plus-MobileNet-Quantized

Profile Job Results

Jobs
jgjv96zxg
Results Ready
Name
deeplabv3_plus_mobilenet_quantized
Target Device
  • SA8650 (Proxy)
  • Android 13
  • Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
1/8/2025, 10:06:49 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
3.94 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
127
StageTimeMemory
First App Load
160 ms0‑2 MB
Subsequent App Load
151 ms0‑2 MB
Inference
3.94 ms1‑3 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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