Profile Job Results
Jobs
jp1wj2eng
Results Ready
Name
controlnet_canny_controlnet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
latent: uint16[1, 64, 64, 4]timestep: uint16[1, 1]text_emb: uint16[1, 77, 768]image_cond: uint16[1, 512, 512, 3]Completion Time
8/23/2025, 12:46:50 PM
Options
--qairt_version 2.33Versions
- ONNX Runtime: 1.22.0
- QAIRT: v2.33.2.250410134701_117956
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
88.7 ms
Estimated Peak Memory Usage
40 ‑ 60 MB
Compute Units
NPU
655
| Stage | Time | Memory |
|---|---|---|
First App Load | 320 ms | 358‑366 MB |
Subsequent App Load | 302 ms | 353‑361 MB |
Inference | 88.7 ms | 40‑60 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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