Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jgllwv0mg
Results Ready
Name
bevdet_pooler
Target Device
  • Samsung Galaxy S24
  • Android 14
  • Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
depth: float32[1, 6, 59, 16, 44]
feat: float32[1, 6, 64, 16, 44]
sensor2keyegos: float32[1, 6, 4, 4]
inv_intrins: float32[1, 6, 3, 3]
inv_post_rots: float32[1, 6, 3, 3]
post_trans: float32[1, 6, 1, 3]
Completion Time
8/8/2026, 4:59:58 PM
Options
--compute_unit cpu
Versions
  • ONNX Runtime: 1.27.1
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2026.07.31.1
Estimated Inference Time
27.1 ms
Estimated Peak Memory Usage
332 ‑ 340 MB
Compute Units
CPU
287
StageTimeMemory
First App Load
105 ms18‑25 MB
Subsequent App Load
86.8 ms0‑9 MB
Inference
27.1 ms332‑340 MB
ONNX RuntimeValue
execution_modeSEQUENTIAL
intra_op_num_threads0
inter_op_num_threads0
enable_memory_patternfalse
enable_cpu_memory_arenafalse
graph_optimization_levelENABLE_ALL

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

Run on device