Profile Job Results
Jobs
j57ljv9vg
Results Ready
Name
unet_segmentation
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 3, 640, 1280]Completion Time
7/26/2025, 2:54:08 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
120 ms
Estimated Peak Memory Usage
17 ‑ 120 MB
Compute Units
NPU
53
| Stage | Time | Memory |
|---|---|---|
First App Load | 16.4 s | 686‑693 MB |
Subsequent App Load | 17.8 s | 1 GB |
Inference | 120 ms | 17‑120 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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