Profile Job Results
Jobs
jgn64knv5
Results Ready
Name
mobilenet_v3_large
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_tensor: float32[1, 3, 224, 224]Completion Time
1/8/2025, 5:32:40 AM
Versions
- ONNX Runtime: 1.20.1
- QNN: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
695 μs
Estimated Peak Memory Usage
0 ‑ 27 MB
Compute Units
NPU
146
| Stage | Time | Memory |
|---|---|---|
First App Load | 853 ms | 231‑239 MB |
Subsequent App Load | 762 ms | 166‑242 MB |
Inference | 695 μs | 0‑27 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" |
Sign up to run this model on a hosted Qualcomm® device!
Run on device