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Profile Job Results

Jobs
jgl2vqdlp
Results Ready
Name
resnet_3d
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]
Completion Time
6/28/2025, 11:47:23 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
36.1 ms
Estimated Peak Memory Usage
29 ‑ 71 MB
Compute Units
NPU
53
CPU
4
StageTimeMemory
First App Load
21.7 s751‑761 MB
Subsequent App Load
22.2 s770‑847 MB
Inference
36.1 ms29‑71 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue
htp_options.device_id1
XNNPACK DelegateValue

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