Profile Job Results
Jobs
j5qr8d4ep
Results Ready
Name
regnet
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
9/27/2025, 9:01:25 PM
Versions
- TensorFlow Lite: 2.17.0
- Android: 11 (RP1A.200720.012)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
52.4 ms
Estimated Peak Memory Usage
3 ‑ 88 MB
Compute Units
GPU
91
CPU
13
NPU
12
Stage | Time | Memory |
---|---|---|
First App Load | 2.03 s | 177‑180 MB |
Subsequent App Load | 1.87 s | 170‑172 MB |
Inference | 52.4 ms | 3‑88 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 |
---|
Sign up to run this model on a hosted Qualcomm® device!
Run on device