Profile Job Results
Jobs
j57xxr2lg
Results Ready
Name
bevfusion_det_float_BEVFusionDecoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
x: float32[1, 80, 128, 128]Completion Time
10/26/2025, 3:38:12 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
9.69 ms
Estimated Peak Memory Usage
5 ‑ 23 MB
Compute Units
NPU
158
| Stage | Time | Memory | 
|---|---|---|
| First App Load | 142 ms | 0‑8 MB | 
| Subsequent App Load | 139 ms | 0‑18 MB | 
| Inference | 9.69 ms | 5‑23 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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