Profile Job Results
Jobs
jgde83mz5
Results Ready
Name
squeezenet1_1
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
5/6/2025, 9:54:52 AM
Versions
- QAIRT: v2.32.6.250402152434_116405-auto
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.05.02.0
Estimated Inference Time
905 μs
Estimated Peak Memory Usage
1 ‑ 15 MB
Compute Units
NPU
70
| Stage | Time | Memory |
|---|---|---|
First App Load | 233 ms | 0‑6 MB |
Subsequent App Load | 205 ms | 0‑15 MB |
Inference | 905 μs | 1‑15 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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