Profile Job Results
Jobs
jpx60vwlp
Results Ready
Name
mobile_vit
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint16[1, 3, 256, 256]Completion Time
9/6/2025, 7:56:18 PM
Options
--qairt_version 2.36Versions
- ONNX Runtime: 1.22.0
- QAIRT: v2.36.4.250725200057_123280
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.08.28.0
Estimated Inference Time
31.8 ms
Estimated Peak Memory Usage
0 ‑ 775 MB
Compute Units
NPU
773
CPU
59
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.30 min | 921‑929 MB |
Subsequent App Load | 3.85 min | 1‑2 GB |
Inference | 31.8 ms | 0‑775 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device