Profile Job Results
Jobs
jped1oe05
Results Ready
Name
shufflenet_v2_quantized
Target Device
- QCS8250 (Proxy)
- Android 12
- Qualcomm® QCS8250
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image_tensor
: uint8[1, 224, 224, 3]Completion Time
1/21/2025, 5:13:40 PM
Versions
- TensorFlow Lite: 2.17.0
- Android: 11 (RP1A.200720.012)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
10.6 ms
Estimated Peak Memory Usage
0 ‑ 6 MB
Compute Units
CPU
166
NPU
44
GPU
10
Stage | Time | Memory |
---|---|---|
First App Load | 886 ms | 1‑3 MB |
Subsequent App Load | 473 ms | 7‑10 MB |
Inference | 10.6 ms | 0‑6 MB |
TensorFlow Lite | Value |
---|---|
number_of_threads | 4 |
NNAPI Delegate | Value |
---|---|
accelerator_name | "qti-dsp" |
execution_preference | kSustainedSpeed |
allow_fp16 | true |
NNAPI Delegate | Value |
---|---|
accelerator_name | "qti-hta" |
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 |
XNNPACK Delegate | Value |
---|
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