Profile Job Results
Jobs
jgkqmy0wg
Results Ready
Name
squeezenet1_1_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/4/2025, 6:48:45 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: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
1.04 ms
Estimated Peak Memory Usage
1 ‑ 24 MB
Compute Units
NPU
71
| Stage | Time | Memory |
|---|---|---|
First App Load | 862 ms | 100‑106 MB |
Subsequent App Load | 821 ms | 38‑124 MB |
Inference | 1.04 ms | 1‑24 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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