Profile Job Results
Jobs
jgje698e5
Results Ready
Name
bevdet_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
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
12/14/2025, 9:33:22 AM
Options
--compute_unit cpuVersions
- TensorFlow Lite: 2.17.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
2.05 s
Estimated Peak Memory Usage
125 ‑ 128 MB
Compute Units
CPU
492
| Stage | Time | Memory |
|---|---|---|
First App Load | 250 ms | 573‑577 MB |
Subsequent App Load | 201 ms | 523‑527 MB |
Inference | 2.05 s | 125‑128 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| XNNPACK Delegate | Value |
|---|
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