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Qualcomm® AI Hub Models
DeepLabV3-Plus-MobileNet-Quantized

Profile Job Results

Jobs
jpeozv48g
Results Ready
Name
deeplabv3_plus_mobilenet_quantized
Target Device
  • XR2 Gen 2 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
3/11/2025, 9:21:51 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
5.45 ms
Estimated Peak Memory Usage
1 ‑ 45 MB
Compute Units
NPU
127
StageTimeMemory
First App Load
3.33 s72‑81 MB
Subsequent App Load
2.38 s92‑167 MB
Inference
5.45 ms1‑45 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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