Profile Job Results
Jobs
jg9yl1rq5
Results Ready
Name
efficientnet_b0
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
6/28/2025, 7:00:53 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.06.12.0
Estimated Inference Time
1.05 ms
Estimated Peak Memory Usage
0 ‑ 42 MB
Compute Units
NPU
245
| Stage | Time | Memory |
|---|---|---|
First App Load | 986 ms | 169‑176 MB |
Subsequent App Load | 1.02 s | 192‑267 MB |
Inference | 1.05 ms | 0‑42 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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