Profile Job Results
Jobs
jgdoyq3lp
Results Ready
Name
unet_segmentation_float
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 640, 1280, 3]Completion Time
12/13/2025, 5:38:42 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
147 ms
Estimated Peak Memory Usage
6 ‑ 463 MB
Compute Units
NPU
31
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.26 s | 572‑573 MB |
Subsequent App Load | 6.14 s | 604‑607 MB |
Inference | 147 ms | 6‑463 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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