Profile Job Results
Jobs
jqp4282vg
Results Ready
Name
fcn_resnet50
Target Device
- Samsung Galaxy S23 Ultra
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 512, 512]Completion Time
8/27/2024, 9:57:22 AM
Versions
- ONNX Runtime: 1.18.1
- QNN: v2.25.0.240728104910_97711
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
43.4 ms
Estimated Peak Memory Usage
22 - 101 MB
Compute Units
NPU
129
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.25 s | 821-822 MB |
Subsequent App Load | 235 ms | 13-70 MB |
Inference | 43.4 ms | 22-101 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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