Profile Job Results

Jobs
jgn3zwor5
Results Ready
Name
bevdet_float
Target Device
  • QCS8450 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
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
11/30/2025, 9:04:29 AM
Options
--qairt_version latest --compute_unit cpu
Versions
  • TensorFlow Lite: 2.17.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2025.11.18.0
Estimated Inference Time
2.37 s
Estimated Peak Memory Usage
128 ‑ 151 MB
Compute Units
CPU
492
StageTimeMemory
First App Load
383 ms544‑552 MB
Subsequent App Load
285 ms514‑537 MB
Inference
2.37 s128‑151 MB
TensorFlow LiteValue
number_of_threads4
XNNPACK DelegateValue

Sign up to run this model on a hosted Qualcomm® device!

Run on device