Profile Job Results
Jobs
jp1eez22g
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder3
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
length: int32[1, 59000]img: float32[1, 1993728, 80]Completion Time
10/26/2025, 3:08:00 AM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
524 ms
Estimated Peak Memory Usage
608 ‑ 627 MB
Compute Units
NPU
20
| Stage | Time | Memory |
|---|---|---|
First App Load | 633 ms | 1‑8 MB |
Subsequent App Load | 428 ms | 1‑8 MB |
Inference | 524 ms | 608‑627 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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