Profile Job Results
Jobs
jgn33v3k5
Results Ready
Name
bevdet_float
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
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
10/26/2025, 3:05:18 AM
Options
--qairt_version latest --compute_unit cpuVersions
- TensorFlow Lite: 2.17.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
2.51 s
Estimated Peak Memory Usage
128 ‑ 140 MB
Compute Units
CPU
492
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.39 s | 556‑565 MB |
Subsequent App Load | 1.38 s | 530‑543 MB |
Inference | 2.51 s | 128‑140 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| XNNPACK Delegate | Value |
|---|
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