Profile Job Results
Jobs
jpxk3ndj5
Results Ready
Name
posenet_mobilenet_quantized
Target Device
- QCS8250 (Proxy)
- Android 12
- Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 513, 257, 3]Completion Time
11/26/2024, 11:39:46 AM
Versions
- TensorFlow Lite: 2.17.0
- Android: 11 (RP1A.200720.012)
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
12.5 ms
Estimated Peak Memory Usage
0 ‑ 7 MB
Compute Units
NPU
45
GPU
3
| Stage | Time | Memory |
|---|---|---|
First App Load | 502 ms | 8‑9 MB |
Subsequent App Load | 231 ms | 5‑13 MB |
Inference | 12.5 ms | 0‑7 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| NNAPI Delegate | Value |
|---|---|
| accelerator_name | "qti-dsp" |
| execution_preference | kSustainedSpeed |
| allow_fp16 | 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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