Profile Job Results
Jobs
jp27yjvx5
Results Ready
Name
unet_segmentation
Target Device
- Snapdragon 7 Gen 4 QRD
- Android 15
- Snapdragon® 7 Gen 4 | SM7750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 640, 1280, 3]Completion Time
3/14/2026, 7:39:11 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 15 (AQ3A.250411.001)
- Build ID: Eliza.LA.1.0.r1-00181-STD.PROD-1
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
79.1 ms
Estimated Peak Memory Usage
2 ‑ 270 MB
Compute Units
NPU
37
| Stage | Time | Memory |
|---|---|---|
First App Load | 25.0 s | 314‑322 MB |
Subsequent App Load | 160 ms | 34‑300 MB |
Inference | 79.1 ms | 2‑270 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device