Profile Job Results
Jobs
jo5m9m0yg
Results Ready
Name
yolov8_det_quantized
Target Device
- QCS6490 (Proxy)
- Android 12
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 640, 640, 3]Completion Time
8/11/2024, 5:25:21 AM
Versions
- TensorFlow Lite: 2.16.1
- QNN TfLite Delegate: v2.24.0.240626131148_96320
- Android: 12 (SP1A.210812.016)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
6.05 ms
Estimated Peak Memory Usage
0 - 36 MB
Compute Units
NPU
278
CPU
1
GPU
1
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.22 s | 73-81 MB |
Subsequent App Load | 331 ms | 5-42 MB |
Inference | 6.05 ms | 0-36 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 |
| GPUv2 Delegate | Value |
|---|---|
| inference_preference | TFLITE_GPU_INFERENCE_PREFERENCE_SUSTAINED_SPEED |
| inference_priority1 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_LATENCY |
| inference_priority2 | TFLITE_GPU_INFERENCE_PRIORITY_MIN_MEMORY_USAGE |
| inference_priority3 | TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION |
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