Profile Job Results
Jobs
jgzzd2nzg
Results Ready
Name
efficientnet_lite4
Target Device
- Samsung Galaxy S26
- Android 16
- Snapdragon® 8 Elite Gen 5 for Galaxy | SM8850-AD
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: uint8[1, 300, 300, 3]Completion Time
10/3/2026, 1:37:19 PM
Versions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 16 (BP4A.251205.006)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
418 μs
Estimated Peak Memory Usage
0 ‑ 64 MB
Compute Units
NPU
123
| Stage | Time | Memory |
|---|---|---|
First App Load | 882 ms | 109‑119 MB |
Subsequent App Load | 117 ms | 16‑83 MB |
Inference | 418 μs | 0‑64 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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