Profile Job Results
Jobs
jg9wyejlp
Results Ready
Name
deeplabv3_plus_mobilenet_float
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
10/25/2025, 11:54:56 PM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
79.0 ms
Estimated Peak Memory Usage
2 ‑ 34 MB
Compute Units
NPU
128
| Stage | Time | Memory |
|---|---|---|
First App Load | 7.69 s | 163‑172 MB |
Subsequent App Load | 7.62 s | 159‑274 MB |
Inference | 79.0 ms | 2‑34 MB |
| QNN | Value |
|---|---|
| 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 |
| device_options.htp_options[0].device_id | 1 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device