Profile Job Results
Jobs
jo5mloq9g
Results Ready
Name
deeplabv3_plus_mobilenet_quantized
Target Device
- Samsung Galaxy S23 Ultra
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 3, 513, 513]Completion Time
8/27/2024, 9:08:21 AM
Versions
- ONNX Runtime: 1.18.1
- QNN: v2.25.0.240728104910_97711
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.23.0
Estimated Inference Time
16.1 ms
Estimated Peak Memory Usage
41 - 48 MB
Compute Units
NPU
120
CPU
51
| Stage | Time | Memory |
|---|---|---|
First App Load | 934 ms | 100-101 MB |
Subsequent App Load | 296 ms | 0-293 MB |
Inference | 16.1 ms | 41-48 MB |
| ONNX Runtime | Value |
|---|---|
| execution_mode | SEQUENTIAL |
| intra_op_num_threads | 0 |
| inter_op_num_threads | 0 |
| enable_memory_pattern | false |
| enable_cpu_memory_arena | false |
| graph_optimization_level | ENABLE_ALL |
| QNN Execution Provider | Value |
|---|---|
| htp_performance_mode | "burst" |
| htp_graph_finalization_optimization_mode | "3" |
| enable_htp_fp16_precision | "1" |
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