Profile Job Results
Jobs
jgl3r9jeg
Results Ready
Name
sequencer2d_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
1/10/2026, 7:35:41 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN TfLite Delegate: v2.41.0.251128145156_191518-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
37.0 ms
Estimated Peak Memory Usage
0 ‑ 735 MB
Compute Units
NPU
17706
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.09 min | 843‑852 MB |
Subsequent App Load | 1.03 s | 82‑832 MB |
Inference | 37.0 ms | 0‑735 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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