Profile Job Results
Jobs
jpvwwv7kg
Results Ready
Name
segformer_base_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 512, 512, 3]Completion Time
1/31/2026, 9:25:32 PM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
215 ms
Estimated Peak Memory Usage
1 ‑ 183 MB
Compute Units
NPU
394
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.10 s | 185‑190 MB |
Subsequent App Load | 455 ms | 33‑215 MB |
Inference | 215 ms | 1‑183 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 |
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