Profile Job Results
Jobs
jegnwxqmg
Results Ready
Name
fcn_resnet50_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, 512, 512]Completion Time
8/27/2024, 9:59:30 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
12.8 ms
Estimated Peak Memory Usage
0 - 42 MB
Compute Units
NPU
80
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.91 s | 391-392 MB |
Subsequent App Load | 225 ms | 1-198 MB |
Inference | 12.8 ms | 0-42 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