Profile Job Results
Jobs
jp29wvr6g
Results Ready
Name
efficientformer
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
8/24/2025, 12:32:53 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- Android: 11 (RP1A.200720.012)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
44.5 ms
Estimated Peak Memory Usage
1 ‑ 80 MB
Compute Units
GPU
144
NPU
56
CPU
5
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.18 s | 126‑129 MB |
Subsequent App Load | 1.79 s | 121‑124 MB |
Inference | 44.5 ms | 1‑80 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 |
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