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

Profile Job Results

Jobs
jgo2oed1p
Results Ready
Name
deeplabv3_plus_mobilenet_quantized
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]
Completion Time
11/26/2024, 4:43:48 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
  • Android: 14 (UQ1A.240205.002)
  • Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
6.65 ms
Estimated Peak Memory Usage
0 ‑ 29 MB
Compute Units
NPU
136
StageTimeMemory
First App Load
1.95 s106‑113 MB
Subsequent App Load
1.98 s85‑137 MB
Inference
6.65 ms0‑29 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

Sign up to run this model on a hosted Qualcomm® device!

Run on device