Profile Job Results
Jobs
jpe73x415
Results Ready
Name
controlnet_canny_controlnet
Target Device
- Samsung Galaxy S26
- Android 16
- Snapdragon® 8 Elite Gen 5 for Galaxy | SM8850-AD
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
text_emb: uint16[1, 77, 768]image_cond: uint16[1, 512, 512, 3]latent: uint16[1, 64, 64, 4]timestep: uint16[1, 1]Completion Time
10/3/2026, 9:29:33 AM
Versions
- ONNX Runtime: 1.30.0
- QAIRT: v2.50.0.260828221209
- Android: 16 (BP4A.251205.006)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
24.0 ms
Estimated Peak Memory Usage
32 ‑ 43 MB
Compute Units
NPU
677
| Stage | Time | Memory |
|---|---|---|
First App Load | 552 ms | 360‑368 MB |
Subsequent App Load | 533 ms | 352‑360 MB |
Inference | 24.0 ms | 32‑43 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" |
Sign up to run this model on a hosted Qualcomm® device!
Run on device







