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Jobs
jglvnrne5
Results Ready
Name
ffnet_78s
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]
Completion Time
1/21/2025, 3:07:19 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
1.26 s
Estimated Peak Memory Usage
0 ‑ 51 MB
Compute Units
NPU
151
StageTimeMemory
First App Load
13.3 s534‑543 MB
Subsequent App Load
13.9 s526‑594 MB
Inference
1.26 s0‑51 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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