Profile Job Results
Jobs
jp2k4m0rp
Results Ready
Name
efficientvit_b2_cls
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
11/26/2024, 2:42:25 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
5.24 ms
Estimated Peak Memory Usage
0 ‑ 32 MB
Compute Units
NPU
379
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.57 s | 709‑716 MB |
Subsequent App Load | 2.50 s | 579‑771 MB |
Inference | 5.24 ms | 0‑32 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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