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Jobs
jgo2yyd1p
Results Ready
Name
resnet_mixed
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 3, 16, 112, 112]
Completion Time
1/21/2025, 12:25:42 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
1.03 s
Estimated Peak Memory Usage
31 ‑ 58 MB
Compute Units
NPU
50
CPU
5
StageTimeMemory
First App Load
22.4 s532‑541 MB
Subsequent App Load
23.3 s527‑587 MB
Inference
1.03 s31‑58 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue
XNNPACK DelegateValue

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