Profile Job Results
Jobs
jp3m0833g
Results Ready
Name
bevfusion_det_float_BEVFusionEncoder3
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
length: int32[1, 59000]img: float32[1, 1993728, 80]Completion Time
1/11/2026, 8:29:50 AM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
590 ms
Estimated Peak Memory Usage
608 ‑ 628 MB
Compute Units
NPU
20
| Stage | Time | Memory |
|---|---|---|
First App Load | 651 ms | 1‑8 MB |
Subsequent App Load | 483 ms | 1‑7 MB |
Inference | 590 ms | 608‑628 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device