Profile Job Results
Jobs
jgo37xrqg
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder4
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
segment: float32[1, 59000, 80]geom: int32[1, 2, 59000]Completion Time
12/14/2025, 9:14:32 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
8.93 ms
Estimated Peak Memory Usage
18 ‑ 36 MB
Compute Units
NPU
19
| Stage | Time | Memory |
|---|---|---|
First App Load | 136 ms | 0‑8 MB |
Subsequent App Load | 130 ms | 0‑7 MB |
Inference | 8.93 ms | 18‑36 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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