Model Size

Classification

Model	XNNPACK [MB]	Core ML [MB]
EFFICIENTNET_V2_S	85.6	43.9

Object Detection

Model	XNNPACK [MB]
SSDLITE_320_MOBILENET_V3_LARGE	13.9

Style Transfer

Model	XNNPACK [MB]	Core ML [MB]
STYLE_TRANSFER_CANDY	6.78	5.22
STYLE_TRANSFER_MOSAIC	6.78	5.22
STYLE_TRANSFER_UDNIE	6.78	5.22
STYLE_TRANSFER_RAIN_PRINCESS	6.78	5.22

OCR

Model	XNNPACK [MB]
Detector (CRAFT_800)	83.1
Recognizer (CRNN_512)	15 - 18*
Recognizer (CRNN_256)	16 - 18*
Recognizer (CRNN_128)	17 - 19*

* - The model weights vary depending on the language.

Vertical OCR

Model	XNNPACK [MB]
Detector (CRAFT_1280)	83.1
Detector (CRAFT_320)	83.1
Recognizer (CRNN_EN_512)	15 - 18*
Recognizer (CRNN_EN_64)	15 - 16*

* - The model weights vary depending on the language.

LLMs

Model	XNNPACK [GB]
LLAMA3_2_1B	2.47
LLAMA3_2_1B_SPINQUANT	1.14
LLAMA3_2_1B_QLORA	1.18
LLAMA3_2_3B	6.43
LLAMA3_2_3B_SPINQUANT	2.55
LLAMA3_2_3B_QLORA	2.65

Speech to text

Model	XNNPACK [MB]
WHISPER_TINY_EN	151
WHISPER_TINY	151
WHISPER_BASE_EN	290.6
WHISPER_BASE	290.6
WHISPER_SMALL_EN	968
WHISPER_SMALL	968

Text Embeddings

Model	XNNPACK [MB]
ALL_MINILM_L6_V2	91
ALL_MPNET_BASE_V2	438
MULTI_QA_MINILM_L6_COS_V1	91
MULTI_QA_MPNET_BASE_DOT_V1	438
CLIP_VIT_BASE_PATCH32_TEXT	254

Image Embeddings

Model	XNNPACK [MB]
CLIP_VIT_BASE_PATCH32_IMAGE	352

Text to Image

Model	Text encoder (XNNPACK) [MB]	UNet (XNNPACK) [MB]	VAE decoder (XNNPACK) [MB]
BK_SDM_TINY_VPRED	492	1290	198