Profile Job Results
Jobs
jpr2j4q75
Results Ready
Name
resnet18_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
10/5/2025, 4:55:01 AM
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
1.26 ms
Estimated Peak Memory Usage
1 ‑ 84 MB
Compute Units
NPU
54
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.11 s | 137‑138 MB |
Subsequent App Load | 1.09 s | 179‑181 MB |
Inference | 1.26 ms | 1‑84 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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