Profile Job Results
Jobs
jpx64m29p
Results Ready
Name
foot_track_net
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 3, 480, 640]Completion Time
8/24/2025, 11:41:52 AM
Options
--qairt_version 2.33Versions
- ONNX Runtime: 1.22.0
- QAIRT: v2.33.2.250410134701_117956
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
24.5 ms
Estimated Peak Memory Usage
10 ‑ 101 MB
Compute Units
NPU
398
CPU
65
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.04 min | 530‑531 MB |
Subsequent App Load | 1.03 min | 554‑558 MB |
Inference | 24.5 ms | 10‑101 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" |
| capture_network_visualizations | false |
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