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Profile Job Results

Jobs
j5wlxql3p
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
9/19/2026, 1:49:16 PM
Options
--qairt_version latest --compute_unit cpu
Versions
  • ONNX Runtime: 1.27.1
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.09.11.0
Estimated Inference Time
65.3 ms
Estimated Peak Memory Usage
274 ‑ 278 MB
Compute Units
CPU
279
StageTimeMemory
First App Load
67.0 ms10 MB
Subsequent App Load
78.4 ms9‑10 MB
Inference
65.3 ms274‑278 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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