Profile Job Results
Jobs
jp0271w95
Results Ready
Name
resnet50_float
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/5/2025, 4:56:48 PM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
2.24 ms
Estimated Peak Memory Usage
0 ‑ 39 MB
Compute Units
NPU
127
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.43 s | 278‑279 MB |
Subsequent App Load | 2.44 s | 307‑310 MB |
Inference | 2.24 ms | 0‑39 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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