Profile Job Results
Jobs
jp0r03j9p
Results Ready
Name
ffnet_78s_lowres_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, 512, 1024, 3]Completion Time
1/11/2026, 4:36:53 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
9.03 ms
Estimated Peak Memory Usage
1 ‑ 250 MB
Compute Units
NPU
151
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.49 s | 620‑626 MB |
Subsequent App Load | 172 ms | 52‑303 MB |
Inference | 9.03 ms | 1‑250 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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