Profile Job Results
Jobs
jgdv18r6g
Results Ready
Name
beit_float
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
1/11/2026, 8:36:50 AM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
12.0 ms
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
431
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.53 s | 1 GB |
Subsequent App Load | 296 ms | 1‑3 MB |
Inference | 12.0 ms | 1‑3 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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