Profile Job Results
Jobs
jp2lrem4g
Results Ready
Name
ffnet_40s_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
11/30/2025, 2:27:19 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
29.4 ms
Estimated Peak Memory Usage
1 ‑ 83 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.33 s | 528‑535 MB |
Subsequent App Load | 2.32 s | 576‑833 MB |
Inference | 29.4 ms | 1‑83 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device