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Profile Job Results

Jobs
jg9dlqvq5
Results Ready
Name
bevdet_pooler
Target Device
  • Dragonwing IQ-9075 EVK
  • Qualcomm Linux 1.7
  • Qualcomm® Dragonwing™ IQ-9075 | QCS9075
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
sensor2keyegos: float32[1, 6, 4, 4]
inv_intrins: float32[1, 6, 3, 3]
post_trans: float32[1, 6, 1, 3]
inv_post_rots: float32[1, 6, 3, 3]
depth: float32[1, 6, 59, 16, 44]
feat: float32[1, 6, 64, 16, 44]
Completion Time
7/25/2026, 9:20:09 PM
Options
--compute_unit cpu
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 1.1.0
  • QNN Core API: 2.34.0
  • Qualcomm Linux: 1.7-ver.1.1
  • AI Hub: aihub-2026.07.17.0
Estimated Inference Time
332 ms
Estimated Peak Memory Usage
270 ‑ 741 MB
Compute Units
CPU
283
StageTimeMemory
First App Load
33.4 ms0‑1 MB
Subsequent App Load
36.2 ms0‑1 MB
Inference
332 ms270‑741 MB
QNNValue
context_options.htp_options.performance_modeBURST
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

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