Profile Job Results
Jobs
j5wl8wlmp
Results Ready
Name
unet_segmentation
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 3, 640, 1280]Completion Time
9/20/2026, 8:04:21 AM
Options
--qairt_version latestVersions
- ONNX Runtime: 1.27.1
- QAIRT: v2.50.0.260828221209
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
274 ms
Estimated Peak Memory Usage
9 ‑ 23 MB
Compute Units
NPU
53
| Stage | Time | Memory |
|---|---|---|
First App Load | 29.6 s | 533‑534 MB |
Subsequent App Load | 509 ms | 72‑73 MB |
Inference | 274 ms | 9‑23 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 |
| context_priority | "normal" |
| offload_graph_io_quantization | "1" |
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