Profile Job Results
Jobs
jpvvydqjp
Results Ready
Name
googlenet_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor: float32[1, 224, 224, 3]Completion Time
12/14/2025, 2:23:09 AM
Versions
- 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-2025.12.07.0
Estimated Inference Time
597 μs
Estimated Peak Memory Usage
0 ‑ 39 MB
Compute Units
NPU
84
| Stage | Time | Memory |
|---|---|---|
First App Load | 774 ms | 213‑221 MB |
Subsequent App Load | 748 ms | 242‑394 MB |
Inference | 597 μs | 0‑39 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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