Profile Job Results
Jobs
jg9w77lvp
Results Ready
Name
deeplabv3_plus_mobilenet_float
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
12/14/2025, 7:15:23 AM
Versions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
11.3 ms
Estimated Peak Memory Usage
3 ‑ 19 MB
Compute Units
NPU
128
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.22 s | 141‑142 MB |
Subsequent App Load | 2.21 s | 175‑178 MB |
Inference | 11.3 ms | 3‑19 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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