Profile Job Results
Jobs
jgdd0k0zg
Results Ready
Name
pidnet
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
9/20/2026, 1:33:16 AM
Options
--qairt_version latestVersions
- Lite RT: 1.4.2
- QAIRT: v2.50.0.260828221209
- QNN TfLite Delegate: v2.50.0.260828221209
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
98.1 ms
Estimated Peak Memory Usage
1 ‑ 203 MB
Compute Units
NPU
207
| Stage | Time | Memory |
|---|---|---|
First App Load | 12.9 s | 219‑227 MB |
Subsequent App Load | 524 ms | 6‑210 MB |
Inference | 98.1 ms | 1‑203 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device







