Profile Job Results
Jobs
j5wq3n265
Results Ready
Name
deeplabv3_plus_mobilenet_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
10/26/2025, 5:04:53 AM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
11.2 ms
Estimated Peak Memory Usage
3 ‑ 18 MB
Compute Units
NPU
128
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.21 s | 162‑163 MB |
Subsequent App Load | 2.18 s | 168‑170 MB |
Inference | 11.2 ms | 3‑18 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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