Profile Job Results
Jobs
jglwm1v8p
Results Ready
Name
efficientnet_v2_s
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: uint16[1, 3, 384, 384]Completion Time
10/3/2026, 10:23:42 PM
Versions
- ONNX Runtime: 1.30.0
- QAIRT: v2.50.0.260828221209
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.09.25.0
Estimated Inference Time
3.66 ms
Estimated Peak Memory Usage
0 ‑ 205 MB
Compute Units
NPU
509
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.30 s | 290‑297 MB |
Subsequent App Load | 350 ms | 152‑358 MB |
Inference | 3.66 ms | 0‑205 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" |
| capture_network_visualizations | false |
| context_priority | "normal" |
| offload_graph_io_quantization | "1" |
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