Model Size

Classification

Model	XNNPACK FP32 [MB]	XNNPACK INT8 [MB]	Core ML FP32 [MB]	Core ML FP16 [MB]
EFFICIENTNET_V2_S	85.7	22.9	86.5	43.9

Object Detection

Model	XNNPACK FP32 [MB]	Core ML FP32 [MB]	Core ML FP16 [MB]
SSDLITE_320_MOBILENET_V3_LARGE	13.9	15.6	8.46
RF_DETR_NANO	112	-	-
YOLO26N	10.3	-	-
YOLO26S	38.6	-	-
YOLO26M	82.3	-	-
YOLO26L	100	-	-
YOLO26X	224	-	-

Instance Segmentation

Model	XNNPACK [MB]
YOLO26N_SEG	11.6
YOLO26S_SEG	42.3
YOLO26M_SEG	95.4
YOLO26L_SEG	113
YOLO26X_SEG	252
RF_DETR_NANO_SEG	124

Style Transfer

Model	XNNPACK FP32 [MB]	XNNPACK INT8 [MB]	Core ML FP32 [MB]	Core ML FP16 [MB]
STYLE_TRANSFER_CANDY	6.82	1.84	7.12	3.79
STYLE_TRANSFER_MOSAIC	6.82	1.84	7.12	3.79
STYLE_TRANSFER_UDNIE	6.82	1.84	7.12	3.79
STYLE_TRANSFER_RAIN_PRINCESS	6.82	1.84	7.12	3.79

OCR

Model	XNNPACK [MB]
Detector (CRAFT_QUANTIZED)	20.9
Recognizer (CRNN)	18.5 - 25.2*

* - The model weights vary depending on the language.

Vertical OCR

Model	XNNPACK [MB]
Detector (CRAFT_QUANTIZED)	20.9
Recognizer (CRNN)	18.5 - 25.2*

* - 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
QWEN3_0.6B	1.11
QWEN3_0.6B_QUANTIZED	0.47
QWEN3_1.7B	3.21
QWEN3_1.7B_QUANTIZED	1.21
QWEN3_4B	7.49
QWEN3_4B_QUANTIZED	2.50
QWEN2_5_0.5B	0.92
QWEN2_5_0.5B_QUANTIZED	0.39
QWEN2_5_1.5B	2.88
QWEN2_5_1.5B_QUANTIZED	1.06
QWEN2_5_3B	5.75
QWEN2_5_3B_QUANTIZED	1.95
HAMMER2_1_0.5B	0.92
HAMMER2_1_0.5B_QUANTIZED	0.39
HAMMER2_1_1.5B	2.88
HAMMER2_1_1.5B_QUANTIZED	1.06
HAMMER2_1_3B	5.75
HAMMER2_1_3B_QUANTIZED	1.91
PHI4_MINI	7.15
PHI4_MINI_QUANTIZED	2.62
SMOLLM2_135M	0.25
SMOLLM2_135M_QUANTIZED	0.52
SMOLLM2_360M	0.67
SMOLLM2_360M_QUANTIZED	1.27
SMOLLM2_1.7B	3.19
SMOLLM2_1.7B_QUANTIZED	0.95
LFM2_5_1.2B_INSTRUCT	2.43
LFM2_5_1.2B_INSTRUCT_QUANTIZED	0.74
LFM2_5_350M_FP16	0.79
LFM2_5_350M_QUANTIZED	0.26

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 to speech

Model	XNNPACK [MB]
KOKORO_SMALL	329.6
KOKORO_MEDIUM	334.4

Text Embeddings

Model	Size [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
DISTILUSE_BASE_MULTILINGUAL_CASED_V2_8DA4W	393
DISTILUSE_BASE_MULTILINGUAL_CASED_V2_COREML	541

Image Embeddings

Model	XNNPACK FP32 [MB]	XNNPACK INT8 [MB]
CLIP_VIT_BASE_PATCH32_IMAGE	352	96.4

Semantic Segmentation

Model	XNNPACK FP32 [MB]	XNNPACK INT8 [MB]
DEEPLAB_V3_RESNET50	168	42.4
DEEPLAB_V3_RESNET101	244	61.7
DEEPLAB_V3_MOBILENET_V3_LARGE	44.1	11.4
LRASPP_MOBILENET_V3_LARGE	12.9	3.53
FCN_RESNET50	141	35.7
FCN_RESNET101	217	55

Text to image

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

Voice Activity Detection (VAD)

Model	XNNPACK [MB]
FSMN_VAD	1.83