Profile Job Results
Jobs
jpy1qd6lp
Results Ready
Name
efficientnet_v2_s
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 3, 224, 224]Completion Time
11/26/2024, 2:49:05 PM
Versions
- ONNX Runtime: 1.19.2
- QNN: v2.28.2.241116104011_103376
- Android: 15 (AQ3A.240829.003)
- Build ID: Pakala.LA.1.0.r1-01032-STD.PROD-1
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
1.75 ms
Estimated Peak Memory Usage
0 ‑ 65 MB
Compute Units
NPU
508
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.38 s | 602‑611 MB |
Subsequent App Load | 86.9 ms | 1‑67 MB |
Inference | 1.75 ms | 0‑65 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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