Profile Job Results
Jobs
j5wek0265
Results Ready
Name
deeplabv3_plus_mobilenet_quantized
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
1/8/2025, 10:05:10 AM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
3.00 ms
Estimated Peak Memory Usage
0 ‑ 39 MB
Compute Units
NPU
136
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.07 s | 90‑98 MB |
Subsequent App Load | 1.13 s | 113‑195 MB |
Inference | 3.00 ms | 0‑39 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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