Memory Usage
Classification
| Model | Android (XNNPACK) [MB] | iOS (Core ML) [MB] |
|---|---|---|
| EFFICIENTNET_V2_S | 130 | 85 |
Object Detection
| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
|---|---|---|
| SSDLITE_320_MOBILENET_V3_LARGE | 90 | 90 |
Style Transfer
| Model | Android (XNNPACK) [MB] | iOS (Core ML) [MB] |
|---|---|---|
| STYLE_TRANSFER_CANDY | 950 | 350 |
| STYLE_TRANSFER_MOSAIC | 950 | 350 |
| STYLE_TRANSFER_UDNIE | 950 | 350 |
| STYLE_TRANSFER_RAIN_PRINCESS | 950 | 350 |
OCR
| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
|---|---|---|
| Detector (CRAFT_800) + Recognizer (CRNN_512) + Recognizer (CRNN_256) + Recognizer (CRNN_128) | 2100 | 1782 |
Vertical OCR
| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
|---|---|---|
| Detector (CRAFT_1280) + Detector (CRAFT_320) + Recognizer (CRNN_512) | 2770 | 3720 |
| Detector(CRAFT_1280) + Detector(CRAFT_320) + Recognizer (CRNN_64) | 1770 | 2740 |
LLMs
| Model | Android (XNNPACK) [GB] | iOS (XNNPACK) [GB] |
|---|---|---|
| LLAMA3_2_1B | 3.2 | 3.1 |
| LLAMA3_2_1B_SPINQUANT | 1.9 | 2 |
| LLAMA3_2_1B_QLORA | 2.2 | 2.5 |
| LLAMA3_2_3B | 7.1 | 7.3 |
| LLAMA3_2_3B_SPINQUANT | 3.7 | 3.8 |
| LLAMA3_2_3B_QLORA | 4 | 4.1 |
Speech to text
| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
|---|---|---|
| WHISPER_TINY | 900 | 600 |
| MOONSHINE_TINY | 650 | 560 |
Text Embeddings
| Model | Android (XNNPACK) [MB] | iOS (XNNPACK) [MB] |
|---|---|---|
| ALL_MINILM_L6_V2 | 150 | 190 |
| ALL_MPNET_BASE_V2 | 520 | 470 |
| MULTI_QA_MINILM_L6_COS_V1 | 160 | 225 |
| MULTI_QA_MPNET_BASE_DOT_V1 | 540 | 500 |