Profile Job Results
Jobs
jgd3vnrlp
Results Ready
Name
bevdet_decoder
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
bev_feature: float32[1, 64, 128, 128]Completion Time
8/22/2026, 1:47:11 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.08.14.0
Estimated Inference Time
7.61 ms
Estimated Peak Memory Usage
4 ‑ 150 MB
Compute Units
NPU
73
| Stage | Time | Memory |
|---|---|---|
First App Load | 948 ms | 218‑227 MB |
Subsequent App Load | 104 ms | 0‑147 MB |
Inference | 7.61 ms | 4‑150 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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