Profile Job Results
Jobs
jpy1w3l0p
Results Ready
Name
efficientnet_v2_s
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor
: float32[1, 3, 224, 224]Completion Time
1/21/2025, 4:00:32 PM
Versions
- ONNX Runtime: 1.20.1
- QNN: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
2.19 ms
Estimated Peak Memory Usage
0 ‑ 41 MB
Compute Units
NPU
508
Stage | Time | Memory |
---|---|---|
First App Load | 2.51 s | 633‑641 MB |
Subsequent App Load | 2.70 s | 567‑767 MB |
Inference | 2.19 ms | 0‑41 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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