Profile Job Results
Jobs
jpyzxdv0g
Results Ready
Name
convnext_tiny_w8a16_quantized
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: uint16[1, 3, 224, 224]Completion Time
3/11/2025, 9:26:24 PM
Versions
- ONNX Runtime: 1.20.1
- QAIRT: v2.32.0.250228225014_116386
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
61.2 ms
Estimated Peak Memory Usage
216 ‑ 511 MB
Compute Units
NPU
357
CPU
40
| Stage | Time | Memory |
|---|---|---|
First App Load | 33.9 s | 585‑592 MB |
Subsequent App Load | 35.7 s | 451‑902 MB |
Inference | 61.2 ms | 216‑511 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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