Profile Job Results
Jobs
jp836xzzg
Results Ready
Name
unet_segmentation
Target Device
- Dragonwing RB3 Gen 2 Vision Kit
- Qualcomm Linux 1.6
- Qualcomm® Dragonwing™ RB3 Gen 2 | QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 640, 1280, 3]Completion Time
4/5/2026, 10:22:31 AM
Versions
- LiteRT: 1.4.2
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Qualcomm Linux: 1.6-ver.1.2
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
268 ms
Estimated Peak Memory Usage
0 ‑ 40 MB
Compute Units
NPU
37
| Stage | Time | Memory |
|---|---|---|
First App Load | 16.2 s | 536‑537 MB |
Subsequent App Load | 286 ms | 41 MB |
Inference | 268 ms | 0‑40 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 | kHtpOptimizeForInference |
| htp_options.useConvHmx | true |
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