Profile Job Results
Jobs
j57lj4jrg
Results Ready
Name
deeplabv3_resnet50
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 3, 520, 520]Completion Time
7/26/2025, 11:36:46 PM
Versions
- ONNX Runtime: 1.22.0
- QAIRT: v2.34.2.250528164111_119506
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
4.28 min
Estimated Peak Memory Usage
1 ‑ 420 MB
Compute Units
NPU
98
CPU
2
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.16 min | 752‑759 MB |
Subsequent App Load | 1.43 min | 0‑1 GB |
Inference | 4.28 min | 1‑420 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" |
| capture_network_visualizations | false |
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