Profile Job Results
Jobs
jgk32v6o5
Results Ready
Name
swin_small_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
11/29/2025, 5:10:27 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.40.0.251030114326_189385
- QNN TfLite Delegate: v2.40.0.251030114326_189385
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
18.5 ms
Estimated Peak Memory Usage
0 ‑ 34 MB
Compute Units
NPU
1563
| Stage | Time | Memory |
|---|---|---|
First App Load | 13.8 s | 733‑734 MB |
Subsequent App Load | 15.3 s | 738‑743 MB |
Inference | 18.5 ms | 0‑34 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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