Profile Job Results
Jobs
j57xlwylg
Results Ready
Name
efficientnet_b0_float
Target Device
- XR2 Gen 2 (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
10/26/2025, 5:00:54 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
2.92 ms
Estimated Peak Memory Usage
0 ‑ 44 MB
Compute Units
NPU
245
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.17 s | 246‑255 MB |
Subsequent App Load | 1.17 s | 241‑390 MB |
Inference | 2.92 ms | 0‑44 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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