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Beit

Profile Job Results

Jobs
jp36ojdzp
Results Ready
Name
beit
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 224, 224, 3]
Completion Time
8/8/2026, 5:22:57 PM
Versions
  • Lite RT: 1.4.5
  • QAIRT: v2.45.0.260326154327
  • QNN TfLite Delegate: v2.45.0.260326154327
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2026.07.31.1
Estimated Inference Time
10.5 ms
Estimated Peak Memory Usage
0 ‑ 404 MB
Compute Units
NPU
533
StageTimeMemory
First App Load
5.06 s688‑695 MB
Subsequent App Load
262 ms262‑668 MB
Inference
10.5 ms0‑404 MB
Lite RTValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.optimization_strategykHtpOptimizeForInferenceO3
htp_options.useConvHmxtrue

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