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Profile Job Results

Jobs
jpv76n37p
Results Ready
Name
bevdet_pooler
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® Dragonwing™ QCS8550
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, 8:22:15 PM
Options
--compute_unit cpu
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 1.1.0
  • QNN Core API: 2.34.0
  • Android: 14 (UP1A.231005.007)
  • AI Hub: aihub-2026.07.17.0
Estimated Inference Time
175 ms
Estimated Peak Memory Usage
4 ‑ 7 MB
Compute Units
CPU
283
StageTimeMemory
First App Load
232 ms461‑463 MB
Subsequent App Load
152 ms0‑496 MB
Inference
175 ms4‑7 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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