Profile Job Results
Jobs
jgzrl0wk5
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
11/30/2025, 3:39:15 AM
Options
--qairt_version latest --compute_unit cpuVersions
- TensorFlow Lite: 2.17.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
1.70 s
Estimated Peak Memory Usage
125 ‑ 150 MB
Compute Units
CPU
492
| Stage | Time | Memory |
|---|---|---|
First App Load | 138 ms | 122‑130 MB |
Subsequent App Load | 90.0 ms | 1‑15 MB |
Inference | 1.70 s | 125‑150 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| XNNPACK Delegate | Value |
|---|
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