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DeepLabV3-Plus-MobileNet-Quantized

Profile Job Results

Jobs
jgl4xke25
Results Ready
Name
deeplabv3_plus_mobilenet_quantized
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
3/11/2025, 9:21:01 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.03.06.0
Estimated Inference Time
3.98 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
127
StageTimeMemory
First App Load
155 ms0‑2 MB
Subsequent App Load
164 ms1‑2 MB
Inference
3.98 ms1‑3 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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