Profile Job Results
Jobs
j5wql7nz5
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
11/30/2025, 2:50:07 AM
Options
--qairt_version latestVersions
- QAIRT: v2.40.0.251030114326_189385-auto
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
12.9 ms
Estimated Peak Memory Usage
1 ‑ 64 MB
Compute Units
NPU
379
| Stage | Time | Memory |
|---|---|---|
First App Load | 12.1 s | 453‑463 MB |
Subsequent App Load | 12.1 s | 455‑628 MB |
Inference | 12.9 ms | 1‑64 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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