Profile Job Results
Jobs
jgdd0qyzg
Results Ready
Name
efficientnet_lite4
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: uint8[1, 300, 300, 3]Completion Time
9/19/2026, 1:23:17 PM
Options
--qairt_version latestVersions
- QAIRT: v2.50.0.260828221209
- QNN Backend API: 5.50.0
- QNN Core API: 2.39.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
892 μs
Estimated Peak Memory Usage
0 ‑ 100 MB
Compute Units
NPU
183
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.34 s | 193‑200 MB |
Subsequent App Load | 156 ms | 1‑102 MB |
Inference | 892 μs | 0‑100 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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