Profile Job Results
Jobs
jvgd64wkp
Results Ready
Name
ffnet_54s
Target Device
- Samsung Galaxy S23 Ultra
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
8/11/2024, 10:27:22 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.24.0.240626131148_96320
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
19.9 ms
Estimated Peak Memory Usage
2 - 45 MB
Compute Units
NPU
113
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.48 s | 337-338 MB |
Subsequent App Load | 215 ms | 36-411 MB |
Inference | 19.9 ms | 2-45 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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