Profile Job Results
Jobs
jwgoddd15
Results Ready
Name
posenet_mobilenet_quantized
Target Device
- Samsung Galaxy S24+
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 513, 257, 3]Completion Time
8/11/2024, 6:55:09 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.24.0.240626131148_96320
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
0.40 ms
Estimated Peak Memory Usage
0 - 46 MB
Compute Units
NPU
48
| Stage | Time | Memory |
|---|---|---|
First App Load | 476 ms | 70-77 MB |
Subsequent App Load | 140 ms | 0-47 MB |
Inference | 0.40 ms | 0-46 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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