Profile Job Results
Jobs
jgnez17kg
Results Ready
Name
unet_segmentation
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
2/24/2026, 8:11:01 AM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
65.8 ms
Estimated Peak Memory Usage
9 ‑ 350 MB
Compute Units
NPU
51
| Stage | Time | Memory |
|---|---|---|
First App Load | 24.0 s | 627‑634 MB |
Subsequent App Load | 120 ms | 0‑343 MB |
Inference | 65.8 ms | 9‑350 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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