Profile Job Results
Jobs
j563r10n5
Results Ready
Name
pidnet
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 1024, 2048, 3]Completion Time
4/5/2026, 12:27:45 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
50.3 ms
Estimated Peak Memory Usage
1 ‑ 2 MB
Compute Units
NPU
207
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.81 s | 198‑199 MB |
Subsequent App Load | 212 ms | 0‑41 MB |
Inference | 50.3 ms | 1‑2 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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