Profile Job Results
Jobs
jn5q62vnp
Results Ready
Name
controlnet_quantized_ControlNet_Quantized
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_1: float32[1, 64, 64, 4]input_2: float32[1, 1280]input_3: float32[1, 77, 768]input_4: float32[1, 512, 512, 3]Completion Time
3/19/2024, 12:27:52 AM
Versions
- QNN: v2.19.0.240124133650_81096
- QNN Backend API: 5.19.0
- QNN Core API: 2.13.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.03.07.0
Estimated Inference Time
100 ms
Estimated Peak Memory Usage
2 - 68 MB
Compute Units
NPU
2406
| Stage | Time | Memory |
|---|---|---|
First App Load | 377 ms | 1-3 MB |
Subsequent App Load | 336 ms | 1-2 MB |
Inference | 100 ms | 2-68 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device