Profile Job Results
Jobs
jz578d1vp
Results Ready
Name
unet_segmentation
Target Device
- Samsung Galaxy S24+
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
8/27/2024, 8:25:47 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.25.0.240728104910_97711
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
112 ms
Estimated Peak Memory Usage
5 - 329 MB
Compute Units
NPU
32
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.93 s | 998-1,005 MB |
Subsequent App Load | 220 ms | 0-324 MB |
Inference | 112 ms | 5-329 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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