Profile Job Results
Jobs
jgo33nvxg
Results Ready
Name
controlnet_canny_w8a16_vae
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
latent: uint16[1, 64, 64, 4]Completion Time
10/27/2025, 7:26:07 PM
Options
--qairt_version 2.37Versions
- ONNX Runtime: 1.23.0
- QAIRT: v2.37.1.250807093845_124904
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
220 ms
Estimated Peak Memory Usage
0 ‑ 67 MB
Compute Units
NPU
171
| Stage | Time | Memory |
|---|---|---|
First App Load | 447 ms | 43‑44 MB |
Subsequent App Load | 295 ms | 59‑61 MB |
Inference | 220 ms | 0‑67 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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