Profile Job Results
Jobs
jpyjxm48p
Results Ready
Name
deeplabv3_resnet50
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
8/24/2025, 9:59:51 AM
Options
--qairt_version latestVersions
- QAIRT: v2.37.0.250724175447_124859
- QNN Backend API: 5.37.0
- QNN Core API: 2.27.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
4.22 min
Estimated Peak Memory Usage
1 ‑ 509 MB
Compute Units
NPU
146
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.13 min | 710‑717 MB |
Subsequent App Load | 1.22 min | 1 GB |
Inference | 4.22 min | 1‑509 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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