Profile Job Results
Jobs
jgnm8memp
Results Ready
Name
controlnet_canny_w8a16_controlnet
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
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
10/5/2025, 3:57:05 AM
Options
--qairt_version 2.37Versions
- ONNX Runtime: 1.22.2
- QAIRT: v2.37.1.250807093845_124904
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
30.0 ms
Estimated Peak Memory Usage
31 ‑ 39 MB
Compute Units
NPU
677
| Stage | Time | Memory |
|---|---|---|
First App Load | 293 ms | 357‑364 MB |
Subsequent App Load | 282 ms | 352‑360 MB |
Inference | 30.0 ms | 31‑39 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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