Profile Job Results
Jobs
j56zlw2yg
Results Ready
Name
efficientnet_b4_float
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/5/2025, 8:39:24 PM
Versions
- QAIRT: v2.38.0.250901140452_125126-auto
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
4.17 ms
Estimated Peak Memory Usage
0 ‑ 35 MB
Compute Units
NPU
481
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.82 s | 401‑410 MB |
Subsequent App Load | 6.99 s | 405‑536 MB |
Inference | 4.17 ms | 0‑35 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 |
| device_options.htp_options[0].device_id | 1 |
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