Profile Job Results
Jobs
jgke124yg
Results Ready
Name
fcn_resnet50
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 520, 520]Completion Time
1/8/2025, 7:12:40 AM
Versions
- ONNX Runtime: 1.20.1
- QNN: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
34.2 ms
Estimated Peak Memory Usage
3 ‑ 116 MB
Compute Units
NPU
130
| Stage | Time | Memory |
|---|---|---|
First App Load | 19.1 s | 829‑836 MB |
Subsequent App Load | 20.5 s | 1 GB |
Inference | 34.2 ms | 3‑116 MB |
| ONNX Runtime | Value |
|---|---|
| execution_mode | SEQUENTIAL |
| intra_op_num_threads | 0 |
| inter_op_num_threads | 0 |
| enable_memory_pattern | false |
| enable_cpu_memory_arena | false |
| graph_optimization_level | ENABLE_ALL |
| QNN Execution Provider | Value |
|---|---|
| htp_performance_mode | "burst" |
| htp_graph_finalization_optimization_mode | "3" |
| enable_htp_fp16_precision | "1" |
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