Profile Job Results
Jobs
jp4xmynq5
Results Ready
Name
easyocr_detector
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 608, 800, 3]Completion Time
4/5/2026, 11:23:16 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
7.15 ms
Estimated Peak Memory Usage
0 ‑ 213 MB
Compute Units
NPU
50
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.42 s | 242‑249 MB |
Subsequent App Load | 168 ms | 0‑212 MB |
Inference | 7.15 ms | 0‑213 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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