Profile Job Results
Jobs
jg9weqllp
Results Ready
Name
trocr_float_TrOCREncoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
pixel_values: float32[1, 384, 384, 3]Completion Time
1/10/2026, 5:48:46 PM
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
12.1 ms
Estimated Peak Memory Usage
7 ‑ 9 MB
Compute Units
NPU
603
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.97 s | 388‑389 MB |
Subsequent App Load | 223 ms | 50‑53 MB |
Inference | 12.1 ms | 7‑9 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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