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Jobs
j5w3envjp
Results Ready
Name
convnext_tiny
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]
Completion Time
6/29/2025, 2:55:08 AM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.34.2.250528164111_119506-auto
  • QNN TfLite Delegate: v2.34.2.250528164111_119506-auto
  • Android: 14 (UQ1A.240205.002)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
  • AI Hub: aihub-2025.06.12.0
Estimated Inference Time
4.28 ms
Estimated Peak Memory Usage
0 ‑ 99 MB
Compute Units
NPU
328
StageTimeMemory
First App Load
7.95 s461‑471 MB
Subsequent App Load
7.95 s482‑600 MB
Inference
4.28 ms0‑99 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue
htp_options.device_id1

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