Profile Job Results
Jobs
jgzoqqok5
Results Ready
Name
controlnet_quantized_ControlNet_Quantized
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_1: uint16[1, 64, 64, 4]input_2: uint16[1, 1280]input_3: uint16[1, 77, 768]input_4: uint16[1, 512, 512, 3]Completion Time
6/4/2025, 6:08:09 PM
Versions
- QAIRT: v2.32.6.250402152434_116405
- QNN Backend API: 5.32.0
- QNN Core API: 2.24.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.05.30.0
Estimated Inference Time
77.3 ms
Estimated Peak Memory Usage
2 ‑ 23 MB
Compute Units
NPU
2405
| Stage | Time | Memory |
|---|---|---|
First App Load | 367 ms | 1‑8 MB |
Subsequent App Load | 255 ms | 1‑9 MB |
Inference | 77.3 ms | 2‑23 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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