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Jobs
jgjvoeleg
Results Ready
Name
ffnet_78s
Target Device
  • Samsung Galaxy S24 (Family)
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]
Completion Time
11/26/2024, 1:11:35 PM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.2.241116104011_103376
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
17.3 ms
Estimated Peak Memory Usage
1 ‑ 44 MB
Compute Units
NPU
149
StageTimeMemory
First App Load
4.45 s668‑675 MB
Subsequent App Load
4.83 s539‑669 MB
Inference
17.3 ms1‑44 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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