Profile Job Results
Jobs
j5m3698qg
Results Ready
Name
resnet_mixed_float
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
10/25/2025, 5:46:56 PM
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
320 ms
Estimated Peak Memory Usage
0 ‑ 23 MB
Compute Units
NPU
57
| Stage | Time | Memory |
|---|---|---|
First App Load | 13.1 s | 363‑364 MB |
Subsequent App Load | 13.1 s | 406‑408 MB |
Inference | 320 ms | 0‑23 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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