Profile Job Results

Jobs
jp1d0v7np
Results Ready
Name
bevfusion_det_encoder_3
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
segment: float32[1, 59000, 80]
geom: int32[1, 2, 59000]
Completion Time
4/25/2026, 11:45:29 AM
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 5.45.0
  • QNN Core API: 2.34.0
  • Android: 14 (UAG2.240908.001)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
  • AI Hub: aihub-2026.04.13.0
Estimated Inference Time
25.3 ms
Estimated Peak Memory Usage
18 ‑ 27 MB
Compute Units
NPU
22
StageTimeMemory
First App Load
689 ms2‑8 MB
Subsequent App Load
543 ms1‑9 MB
Inference
25.3 ms18‑27 MB
QNNValue
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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