Profile Job Results
Jobs
j5m3112yg
Results Ready
Name
convnext_tiny_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
12/14/2025, 8:23:27 AM
Versions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
2.62 ms
Estimated Peak Memory Usage
1 ‑ 113 MB
Compute Units
NPU
240
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.22 s | 547‑554 MB |
Subsequent App Load | 3.25 s | 765‑1,019 MB |
Inference | 2.62 ms | 1‑113 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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