Profile Job Results
Jobs
jgo2ov7dp
Results Ready
Name
convnext_tiny_w8a16_quantized
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
: uint16[1, 224, 224, 3]Completion Time
11/26/2024, 3:27:16 PM
Versions
- QNN: v2.28.2.241116104011_103376
- QNN Backend API: 5.28.0
- QNN Core API: 2.21.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
2.43 ms
Estimated Peak Memory Usage
1 ‑ 35 MB
Compute Units
NPU
215
Stage | Time | Memory |
---|---|---|
First App Load | 999 ms | 363‑370 MB |
Subsequent App Load | 968 ms | 256‑416 MB |
Inference | 2.43 ms | 1‑35 MB |
QNN | Value |
---|---|
context_options.htp_options.performance_mode | BURST |
default_graph_options.htp_options.precision | FLOAT16 |
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