Profile Job Results
Jobs
jgond78qp
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: uint8[1, 3, 640, 1280]Completion Time
9/6/2025, 3:33:08 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
347 ms
Estimated Peak Memory Usage
1 ‑ 4 GB
Compute Units
NPU
127
CPU
22
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.42 min | 4 GB |
Subsequent App Load | 3.99 min | 3‑4 GB |
Inference | 347 ms | 1‑4 GB |
| 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