Profile Job Results
Jobs
jgjvmzn7g
Results Ready
Name
ffnet_78s_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
1/21/2025, 5:55:35 PM
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
15.5 ms
Estimated Peak Memory Usage
1 ‑ 55 MB
Compute Units
NPU
302
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.10 s | 313‑314 MB |
Subsequent App Load | 6.01 s | 326‑329 MB |
Inference | 15.5 ms | 1‑55 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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