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Profile Job Results

Jobs
jp39ydmxp
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
9/5/2026, 4:09:55 PM
Options
--compute_unit cpu
Versions
  • QAIRT: v2.45.0.260326154327
  • QNN Backend API: 1.1.0
  • QNN Core API: 2.34.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2026.08.28.1
Estimated Inference Time
166 ms
Estimated Peak Memory Usage
5 ‑ 499 MB
Compute Units
CPU
281
StageTimeMemory
First App Load
249 ms368‑370 MB
Subsequent App Load
143 ms1‑492 MB
Inference
166 ms5‑499 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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