Profile Job Results
Jobs
jpydx890p
Results Ready
Name
efficientvit_l2_cls
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
2/21/2026, 10:15:54 AM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- 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-2026.02.14.0
Estimated Inference Time
24.4 ms
Estimated Peak Memory Usage
1 ‑ 141 MB
Compute Units
NPU
346
| Stage | Time | Memory |
|---|---|---|
First App Load | 19.5 s | 509‑517 MB |
Subsequent App Load | 531 ms | 1‑142 MB |
Inference | 24.4 ms | 1‑141 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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