Profile Job Results
Jobs
jp0lmmk9p
Results Ready
Name
efficientnet_b0_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
11/30/2025, 6:49:31 AM
Options
--qairt_version latestVersions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
3.44 ms
Estimated Peak Memory Usage
1 ‑ 39 MB
Compute Units
NPU
244
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.28 s | 235‑243 MB |
Subsequent App Load | 1.27 s | 251‑419 MB |
Inference | 3.44 ms | 1‑39 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device







