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Jobs
jp3jkk7mg
Results Ready
Name
resnet_3d
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 3, 16, 112, 112]
Completion Time
1/21/2025, 12:28:18 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-2025.01.04.0
Estimated Inference Time
38.0 ms
Estimated Peak Memory Usage
29 ‑ 61 MB
Compute Units
NPU
50
CPU
5
StageTimeMemory
First App Load
8.81 s1 GB
Subsequent App Load
8.83 s1 GB
Inference
38.0 ms29‑61 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue
XNNPACK DelegateValue

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