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Jobs
jp14l2k7p
Results Ready
Name
mobilenet_v3_large_quantized
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]
Completion Time
1/21/2025, 5:46:32 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
  • AI Hub: aihub-2025.01.04.0
Estimated Inference Time
2.49 ms
Estimated Peak Memory Usage
0 ‑ 14 MB
Compute Units
NPU
137
StageTimeMemory
First App Load
1.90 s66‑76 MB
Subsequent App Load
1.97 s59‑91 MB
Inference
2.49 ms0‑14 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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