Profile Job Results
Jobs
jp31j7zxg
Results Ready
Name
squeezenet1_1
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
6/28/2025, 9:53:07 AM
Versions
- QAIRT: v2.34.2.250528164111_119506
- QNN Backend API: 5.34.0
- QNN Core API: 2.25.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.06.12.0
Estimated Inference Time
595 μs
Estimated Peak Memory Usage
0 ‑ 9 MB
Compute Units
NPU
70
| Stage | Time | Memory |
|---|---|---|
First App Load | 625 ms | 80‑81 MB |
Subsequent App Load | 608 ms | 101‑103 MB |
Inference | 595 μs | 0‑9 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| 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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