Profile Job Results
Jobs
jp31947xg
Results Ready
Name
pidnet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
8/23/2025, 10:45:54 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859
- QNN TfLite Delegate: v2.37.0.250724175447_124859
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
31.6 ms
Estimated Peak Memory Usage
2 ‑ 66 MB
Compute Units
NPU
169
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.71 s | 381‑388 MB |
Subsequent App Load | 2.85 s | 402‑632 MB |
Inference | 31.6 ms | 2‑66 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.useConvHmx | true |
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