MER and MSA Evaluation Suite benchmark leaderboard · SOTA2 Research

MER and MSA Evaluation Suite

79.09Accuracy (MER2023)Nano-EmoX

Evaluation Results

Method	Links
Nano-EmoX2026.03		79.09	77.94	56.55	60.12	76.82	79.81	86.25	84.76	64.75	74.01
AffectGPT2026.03		78.54	78.8	55.65	60.54	81.3	80.9	88.49	86.18	62.52	74.77
Nano-EmoX2026.03		74.26	78.61	54.27	61.54	80.71	79.52	84.64	83.31	62.68	73.28
AffectGPT (s)2026.03		73.45	74.71	47.69	53.14	75.51	71.3	82.5	84.1	62.43	69.43
AffectGPT (s)2026.03		72.43	77.83	50.19	57.64	80.4	79.97	83.28	83.23	63.75	72.08
Qwen-2VL-7B2026.03		59.81	69.14	48.05	50.53	74.1	58.35	78.65	77.43	55.61	63.52
Emotion-LLaMA2026.03		59.38	73.62	46.76	55.47	66.13	67.66	78.32	77.23	52.97	64.17
R1-Omni2026.03		58.3	69.41	40.87	50.18	55.56	48.62	74.71	76.67	51.84	58.46
SALMONN2026.03		55.53	45.38	45.62	46.84	81	67.03	68.69	68.69	45	57.89
MiniCPM-V-2.6-8B2026.03		46.67	45.31	40.27	36.31	74.96	57.44	74.85	75.04	50.04	55.65
MobileVLM V2-3B2026.03		37.7	53.87	30.72	53	55.81	44.87	69.17	65.72	33.86	49.95
MobileVLM V2-1.7B2026.03		36.65	47.03	33.37	49.24	41	56.49	51.46	51.94	36.96	44.9