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DeepLabV3-Plus-MobileNet

Profile Job Results

Jobs
j57l39zlg
Results Ready
Name
deeplabv3_plus_mobilenet_float
Target Device
  • Snapdragon 8 Elite Gen 5 QRD
  • Android 16
  • Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]
Completion Time
10/5/2025, 5:59:54 AM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.38.0.250901140452_125126
  • QNN TfLite Delegate: v2.38.0.250901140452_125126
  • Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
  • Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
  • AI Hub: aihub-2025.09.26.0
Estimated Inference Time
5.41 ms
Estimated Peak Memory Usage
0 ‑ 37 MB
Compute Units
NPU
101
StageTimeMemory
First App Load
1.47 s272‑278 MB
Subsequent App Load
1.48 s200‑314 MB
Inference
5.41 ms0‑37 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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