Profile Job Results
Jobs
jgje23k75
Results Ready
Name
resnext101_w8a8
Target Device
- QCS6490 (Proxy)
- Android 12
- Qualcomm® QCS6490
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
10/25/2025, 8:29:43 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: 12 (SP1A.210812.016)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
10.6 ms
Estimated Peak Memory Usage
0 ‑ 216 MB
Compute Units
NPU
150
| Stage | Time | Memory | 
|---|---|---|
| First App Load | 23.0 s | 657‑668 MB | 
| Subsequent App Load | 24.2 s | 334‑672 MB | 
| Inference | 10.6 ms | 0‑216 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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