Qualcomm® AI HubAI Hub
Qualcomm® AI Hub Models
BGNet

Profile Job Results

Jobs
j5mzmr29p
Results Ready
Name
bgnet
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint16[1, 3, 416, 416]
Completion Time
2/22/2026, 5:29:36 AM
Versions
  • QAIRT: v2.43.0.260127150333_193827
  • QNN Backend API: 5.43.0
  • QNN Core API: 2.32.0
  • Android: 14 (UAG2.240908.001)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
  • AI Hub: aihub-2026.02.14.0
Estimated Inference Time
36.6 ms
Estimated Peak Memory Usage
1 ‑ 258 MB
Compute Units
NPU
411
StageTimeMemory
First App Load
19.4 s425‑431 MB
Subsequent App Load
518 ms30‑289 MB
Inference
36.6 ms1‑258 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

Sign up to run this model on a hosted Qualcomm® device!

Run on device