Profile Job Results
Jobs
jgd7nqwzg
Results Ready
Name
unet_segmentation
Target Device
- Dragonwing IQ-9075 EVK
- Qualcomm Linux 1.7
- Qualcomm® Dragonwing™ IQ-9075 | QCS9075
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
5/3/2026, 1:11:56 AM
Versions
- LiteRT: 1.4.3
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 1.7-ver.1.1
- AI Hub: aihub-2026.04.25.0
Estimated Inference Time
248 ms
Estimated Peak Memory Usage
0 ‑ 80 MB
Compute Units
NPU
31
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.1 s | 562‑563 MB |
Subsequent App Load | 304 ms | 74‑75 MB |
Inference | 248 ms | 0‑80 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 | kHtpOptimizeForInference |
| htp_options.useConvHmx | true |
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