Profile Job Results

Jobs
jg94nk085
Results Ready
Name
bevdet_float
Target Device
  • SA8295P ADP
  • Android 14
  • Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 18, 256, 704]
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
1/11/2026, 7:49:11 AM
Options
--qairt_version latest --compute_unit cpu
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 14 (UQ1A.240205.002)
  • Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
  • AI Hub: aihub-2026.01.05.0
Estimated Inference Time
2.02 s
Estimated Peak Memory Usage
128 ‑ 143 MB
Compute Units
CPU
492
StageTimeMemory
First App Load
597 ms501‑507 MB
Subsequent App Load
634 ms569‑585 MB
Inference
2.02 s128‑143 MB
TensorFlow LiteValue
number_of_threads4
XNNPACK DelegateValue

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