Profile Job Results
Jobs
jp298eqmg
Results Ready
Name
controlnet_canny_text_encoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
tokens: int32[1, 77]Completion Time
9/27/2025, 1:06:22 PM
Options
--qairt_version 2.37Versions
- 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
5.52 ms
Estimated Peak Memory Usage
0 ‑ 162 MB
Compute Units
NPU
449
| Stage | Time | Memory |
|---|---|---|
First App Load | 323 ms | 161‑163 MB |
Subsequent App Load | 279 ms | 157‑159 MB |
Inference | 5.52 ms | 0‑162 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 |
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