Profile Job Results
Jobs
j5m6r96dg
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
9/27/2025, 4:33:24 PM
Options
--qairt_version 2.37
Versions
- ONNX Runtime: 1.22.2
- QAIRT: v2.37.1.250807093845_124904
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
118 ms
Estimated Peak Memory Usage
22 ‑ 139 MB
Compute Units
NPU
53
Stage | Time | Memory |
---|---|---|
First App Load | 25.2 s | 707‑715 MB |
Subsequent App Load | 25.8 s | 1 GB |
Inference | 118 ms | 22‑139 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