Profile Job Results
Jobs
jg9wyvqqp
Results Ready
Name
efficientvit_b2_cls_float
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
10/26/2025, 3:54:47 AM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
12.9 ms
Estimated Peak Memory Usage
1 ‑ 62 MB
Compute Units
NPU
379
| Stage | Time | Memory |
|---|---|---|
First App Load | 11.6 s | 415‑425 MB |
Subsequent App Load | 11.7 s | 418‑566 MB |
Inference | 12.9 ms | 1‑62 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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