Profile Job Results
Jobs
jglev8jlp
Results Ready
Name
ffnet_54s
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
5/2/2026, 1:00:07 PM
Versions
- LiteRT: 1.4.3
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.04.25.0
Estimated Inference Time
5.92 ms
Estimated Peak Memory Usage
1 ‑ 260 MB
Compute Units
NPU
120
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.46 s | 263‑270 MB |
Subsequent App Load | 169 ms | 22‑283 MB |
Inference | 5.92 ms | 1‑260 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device