Profile Job Results
Jobs
jgl3980jg
Results Ready
Name
efficientnet_b4_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
12/14/2025, 5:19:14 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
3.18 ms
Estimated Peak Memory Usage
0 ‑ 75 MB
Compute Units
NPU
481
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.35 s | 379‑380 MB |
Subsequent App Load | 2.36 s | 409‑411 MB |
Inference | 3.18 ms | 0‑75 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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