Profile Job Results
Jobs
jgnxjlyk5
Results Ready
Name
efficientnet_v2_s
Target Device
- Samsung Galaxy S22 5G
- Android 12
- Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 384, 384, 3]Completion Time
6/14/2026, 3:06:59 AM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2026.06.08.2
Estimated Inference Time
13.5 ms
Estimated Peak Memory Usage
0 ‑ 230 MB
Compute Units
NPU
508
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.07 s | 265‑274 MB |
Subsequent App Load | 259 ms | 61‑292 MB |
Inference | 13.5 ms | 0‑230 MB |
| Lite RT | 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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