Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jpezj6e7p
Results Ready
Name
bevformer
Target Device
  • SA8775P ADP
  • Android 14
  • Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[6, 3, 480, 800]
can_bus: float32[18]
prev_bev: float32[1, 50, 50, 256]
use_prev_bev: float32[1]
lidar2img: float32[1, 6, 4, 4]
Completion Time
9/5/2026, 12:38:42 PM
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-2026.08.28.1
Estimated Inference Time
2.01 s
Estimated Peak Memory Usage
26 ‑ 863 MB
Compute Units
NPU
1634
StageTimeMemory
First App Load
2.97 min1 GB
Subsequent App Load
661 ms2‑840 MB
Inference
2.01 s26‑863 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
device_options.htp_options[0].device_id1

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

Run on device