Profile Job Results
Jobs
jp4l72nv5
Results Ready
Name
resnet18_quantized
Target Device
- Samsung Galaxy S23 (Family)
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
1/8/2025, 9:31:57 AM
Versions
- QNN: v2.28.2.241116104011_103376
- QNN Backend API: 5.28.0
- QNN Core API: 2.21.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
631 μs
Estimated Peak Memory Usage
0 ‑ 18 MB
Compute Units
NPU
54
| Stage | Time | Memory |
|---|---|---|
First App Load | 307 ms | 82‑83 MB |
Subsequent App Load | 286 ms | 82‑83 MB |
Inference | 631 μs | 0‑18 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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