Profile Job Results
Jobs
jgzme7kkp
Results Ready
Name
unet_segmentation
Target Device
- Dragonwing IQ-9075 EVK
- Qualcomm Linux 1.9
- Qualcomm® Dragonwing™ IQ-9075 | QCS9075
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 640, 1280, 3]Completion Time
9/6/2026, 3:48:00 AM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 1.9-ver.1.0
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
32.6 ms
Estimated Peak Memory Usage
1 ‑ 38 MB
Compute Units
NPU
37
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.81 s | 350‑351 MB |
Subsequent App Load | 239 ms | 35‑36 MB |
Inference | 32.6 ms | 1‑38 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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