Profile Job Results
Jobs
j5mqn0vyp
Results Ready
Name
efficientnet_v2_s
Target Device
- Samsung Galaxy S24
- 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
4/8/2025, 5:51:23 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-2025.03.24.0
Estimated Inference Time
2.00 ms
Estimated Peak Memory Usage
0 ‑ 99 MB
Compute Units
NPU
508
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.03 s | 461‑468 MB |
Subsequent App Load | 2.15 s | 529‑690 MB |
Inference | 2.00 ms | 0‑99 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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