Profile Job Results
Jobs
jp1jroykp
Results Ready
Name
bevformer
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[6, 3, 480, 800]can_bus: float32[18]prev_bev: float32[1, 50, 50, 256]use_prev_bev: float32[1]lidar2img: float32[1, 6, 4, 4]Completion Time
9/5/2026, 12:40:54 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
2.35 s
Estimated Peak Memory Usage
29 ‑ 62 MB
Compute Units
NPU
1634
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.08 min | 1,015‑1,016 MB |
Subsequent App Load | 393 ms | 2‑3 MB |
Inference | 2.35 s | 29‑62 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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