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Profile Job Results

Jobs
jgk86erng
Results Ready
Name
bevdet_pooler
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
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, 5:05:15 PM
Options
--compute_unit cpu
Versions
  • ONNX Runtime: 1.27.1
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.07.31.1
Estimated Inference Time
71.2 ms
Estimated Peak Memory Usage
324 ‑ 328 MB
Compute Units
CPU
287
StageTimeMemory
First App Load
86.8 ms9‑10 MB
Subsequent App Load
64.3 ms9‑10 MB
Inference
71.2 ms324‑328 MB
ONNX RuntimeValue
execution_modeSEQUENTIAL
intra_op_num_threads0
inter_op_num_threads0
enable_memory_patternfalse
enable_cpu_memory_arenafalse
graph_optimization_levelENABLE_ALL

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