Profile Job Results
Jobs
jgl39dxjg
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder1
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
imgs: float32[1, 18, 256, 704]Completion Time
12/14/2025, 9:20:28 AM
Versions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
536 ms
Estimated Peak Memory Usage
13 ‑ 31 MB
Compute Units
NPU
637
| Stage | Time | Memory |
|---|---|---|
First App Load | 639 ms | 1‑8 MB |
Subsequent App Load | 675 ms | 1‑8 MB |
Inference | 536 ms | 13‑31 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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