Profile Job Results
Jobs
jz5we97m5
Results Ready
Name
controlnet_quantized_UNet_Quantized
Target Device
Samsung Galaxy S24 (14)
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, 12:44:52 AM
Estimated Inference Time
193 ms
Estimated Peak Memory Usage
0 - 1 GB
Compute Units
NPU
5434
| Stage | Time | Memory |
|---|---|---|
First App Load | 479 ms | 2-10 MB |
Subsequent App Load | 504 ms | 1-10 MB |
Inference | 193 ms | 0-1 GB |
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