Profile Job Results
Jobs
j5qr64onp
Results Ready
Name
unet_segmentation
Target Device
- SA8255 (Proxy)
- Android 13
- Qualcomm® SA8255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 640, 1280, 3]Completion Time
6/28/2025, 9:16:10 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.06.12.0
Estimated Inference Time
37.8 ms
Estimated Peak Memory Usage
2 ‑ 864 MB
Compute Units
NPU
38
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.97 s | 316‑317 MB |
Subsequent App Load | 1.74 s | 319‑322 MB |
Inference | 37.8 ms | 2‑864 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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