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Jobs
jpv6ez2z5
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
11/26/2024, 4:42:30 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.2.241116104011_103376
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
4.16 ms
Estimated Peak Memory Usage
0 ‑ 14 MB
Compute Units
NPU
136
StageTimeMemory
First App Load
1.10 s91‑92 MB
Subsequent App Load
1.13 s100‑215 MB
Inference
4.16 ms0‑14 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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