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Model Size

Classification

ModelXNNPACK [MB]Core ML [MB]
EFFICIENTNET_V2_S85.643.9

Object Detection

ModelXNNPACK [MB]
SSDLITE_320_MOBILENET_V3_LARGE13.9

Style Transfer

ModelXNNPACK [MB]Core ML [MB]
STYLE_TRANSFER_CANDY6.785.22
STYLE_TRANSFER_MOSAIC6.785.22
STYLE_TRANSFER_UDNIE6.785.22
STYLE_TRANSFER_RAIN_PRINCESS6.785.22

OCR

ModelXNNPACK [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

ModelXNNPACK [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

ModelXNNPACK [GB]
LLAMA3_2_1B2.47
LLAMA3_2_1B_SPINQUANT1.14
LLAMA3_2_1B_QLORA1.18
LLAMA3_2_3B6.43
LLAMA3_2_3B_SPINQUANT2.55
LLAMA3_2_3B_QLORA2.65

Speech to text

ModelXNNPACK [MB]
WHISPER_TINY231.0
MOONSHINE_TINY148.9

Text Embeddings

ModelXNNPACK [MB]
ALL_MINILM_L6_V291
ALL_MPNET_BASE_V2438
MULTI_QA_MINILM_L6_COS_V191
MULTI_QA_MPNET_BASE_DOT_V1438