Profile Job Results
Jobs
j5wekrnj5
Results Ready
Name
ffnet_40s_quantized
Target Device
- Samsung Galaxy S23 (Family)
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 3, 1024, 2048]Completion Time
1/8/2025, 10:00:22 AM
Versions
- ONNX Runtime: 1.20.1
- QNN: v2.28.2.241116104011_103376
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
12.6 ms
Estimated Peak Memory Usage
1 ‑ 42 MB
Compute Units
NPU
169
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.11 s | 165‑166 MB |
Subsequent App Load | 4.05 s | 165‑167 MB |
Inference | 12.6 ms | 1‑42 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