Profile Job Results
Jobs
jgkv4vw2p
Results Ready
Name
efficientvit_l2_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
3/11/2025, 6:11:42 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
13.7 ms
Estimated Peak Memory Usage
0 ‑ 271 MB
Compute Units
NPU
675
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.2 s | 872‑879 MB |
Subsequent App Load | 10.5 s | 1‑2 GB |
Inference | 13.7 ms | 0‑271 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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