Profile Job Results
Jobs
jp4elnr1g
Results Ready
Name
pidnet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
10/4/2026, 4:42:19 PM
Versions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
37.8 ms
Estimated Peak Memory Usage
0 ‑ 251 MB
Compute Units
NPU
207
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.89 s | 250‑257 MB |
Subsequent App Load | 182 ms | 83‑336 MB |
Inference | 37.8 ms | 0‑251 MB |
| Lite RT | 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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