Profile Job Results
Jobs
jg9wwnwwp
Results Ready
Name
bevdet_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
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, 2:48:32 AM
Options
--qairt_version latest --compute_unit cpuVersions
- TensorFlow Lite: 2.17.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
1.76 s
Estimated Peak Memory Usage
123 ‑ 147 MB
Compute Units
CPU
492
| Stage | Time | Memory |
|---|---|---|
First App Load | 199 ms | 169‑177 MB |
Subsequent App Load | 177 ms | 303‑317 MB |
Inference | 1.76 s | 123‑147 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| XNNPACK Delegate | Value |
|---|
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