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Qualcomm® AI Hub Models
BEVDet

Profile Job Results

Jobs
j5m30lowg
Results Ready
Name
bevdet_float
Target Device
  • QCS8550 (Proxy)
  • Android 12
  • Qualcomm® QCS8550
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, 9:22:19 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
2.01 s
Estimated Peak Memory Usage
129 ‑ 133 MB
Compute Units
CPU
492
StageTimeMemory
First App Load
265 ms540‑541 MB
Subsequent App Load
198 ms436‑619 MB
Inference
2.01 s129‑133 MB
TensorFlow LiteValue
number_of_threads4
XNNPACK DelegateValue

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