Profile Job Results
Jobs
jpv6e16j5
Results Ready
Name
yolov8_det_quantized
Target Device
- Samsung Galaxy S24 (Family)
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 640, 640, 3]Completion Time
11/26/2024, 3:44:20 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
1.28 ms
Estimated Peak Memory Usage
0 ‑ 27 MB
Compute Units
NPU
280
| Stage | Time | Memory |
|---|---|---|
First App Load | 680 ms | 76‑83 MB |
Subsequent App Load | 674 ms | 12‑72 MB |
Inference | 1.28 ms | 0‑27 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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