Profile Job Results
Jobs
jgk3q87v5
Results Ready
Name
trocr_float_TrOCREncoder
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
pixel_values: float32[1, 384, 384, 3]Completion Time
10/25/2025, 3:26:47 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802-auto
- QNN TfLite Delegate: v2.39.0.250925215840_163802-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
41.8 ms
Estimated Peak Memory Usage
7 ‑ 114 MB
Compute Units
NPU
603
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.1 s | 418‑427 MB |
Subsequent App Load | 9.90 s | 419‑635 MB |
Inference | 41.8 ms | 7‑114 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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