Profile Job Results
Jobs
jp2ln28xg
Results Ready
Name
resnet18_w8a8
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: uint8[1, 224, 224, 3]Completion Time
1/10/2026, 9:01:02 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
389 μs
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
41
| Stage | Time | Memory |
|---|---|---|
First App Load | 495 ms | 161‑162 MB |
Subsequent App Load | 194 ms | 12‑13 MB |
Inference | 389 μs | 0‑3 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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