Profile Job Results
Jobs
jgzrjk2k5
Results Ready
Name
deeplabv3_plus_mobilenet_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
10/26/2025, 12:58:19 AM
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: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
18.9 ms
Estimated Peak Memory Usage
2 ‑ 53 MB
Compute Units
NPU
128
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.22 s | 183‑189 MB |
Subsequent App Load | 4.40 s | 177‑314 MB |
Inference | 18.9 ms | 2‑53 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device