Profile Job Results
Jobs
jogkey8wg
Results Ready
Name
controlnet_quantized_UNet_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]controlnet_downblock1: float32[1, 64, 64, 320]controlnet_downblock2: float32[1, 64, 64, 320]controlnet_downblock3: float32[1, 64, 64, 320]controlnet_downblock4: float32[1, 32, 32, 320]controlnet_downblock5: float32[1, 32, 32, 640]controlnet_downblock6: float32[1, 32, 32, 640]controlnet_downblock7: float32[1, 16, 16, 640]controlnet_downblock8: float32[1, 16, 16, 1280]controlnet_downblock9: float32[1, 16, 16, 1280]controlnet_downblock10: float32[1, 8, 8, 1280]controlnet_downblock11: float32[1, 8, 8, 1280]controlnet_downblock12: float32[1, 8, 8, 1280]controlnet_midblock: float32[1, 8, 8, 1280]Completion Time
3/19/2024, 12:33:22 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
263 ms
Estimated Peak Memory Usage
11 - 17 MB
Compute Units
NPU
5434
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.28 s | 2-4 MB |
Subsequent App Load | 579 ms | 2-3 MB |
Inference | 263 ms | 11-17 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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