Profile Job Results
Jobs
jgn3mk0j5
Results Ready
Name
trocr_float_TrOCREncoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
pixel_values: float32[1, 384, 384, 3]Completion Time
10/25/2025, 10:05:26 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
9.41 ms
Estimated Peak Memory Usage
5 ‑ 119 MB
Compute Units
NPU
603
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.68 s | 460‑468 MB |
Subsequent App Load | 2.74 s | 647‑953 MB |
Inference | 9.41 ms | 5‑119 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 |
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