Profile Job Results
Jobs
j5mqn937p
Results Ready
Name
deeplabv3_plus_mobilenet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
4/8/2025, 6:42:05 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
9.11 ms
Estimated Peak Memory Usage
0 ‑ 45 MB
Compute Units
NPU
101
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.69 s | 202‑209 MB |
Subsequent App Load | 1.73 s | 215‑298 MB |
Inference | 9.11 ms | 0‑45 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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