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DeepLabV3-Plus-MobileNet-Quantized

Profile Job Results

Jobs
jp4klex2g
Results Ready
Name
deeplabv3_plus_mobilenet
Target Device
  • QCS6490 (Proxy)
  • Android 12
  • Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
4/8/2025, 6:47:54 PM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
18.1 s
Estimated Peak Memory Usage
1 ‑ 15 MB
Compute Units
NPU
127
StageTimeMemory
First App Load
3.01 min0‑7 MB
Subsequent App Load
2.54 min0‑14 MB
Inference
18.1 s1‑15 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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