Profile Job Results
Jobs
jpvr2ydk5
Results Ready
Name
unet_segmentation
Target Device
- Snapdragon 8 Elite QRD
- Android 16
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 3, 640, 1280]Completion Time
9/6/2025, 3:30:09 PM
Options
--qairt_version 2.36Versions
- ONNX Runtime: 1.22.0
- QAIRT: v2.36.4.250725200057_123280
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.08.28.0
Estimated Inference Time
318 ms
Estimated Peak Memory Usage
0 ‑ 2 GB
Compute Units
NPU
127
CPU
22
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.82 min | 4 GB |
Subsequent App Load | 3.04 min | 4‑2 GB |
Inference | 318 ms | 0‑2 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