Fixing Scores for Gemini 1.5 Flash and GPT-4o
#2
by
vfragoso
- opened
README.md
CHANGED
@@ -68,14 +68,14 @@ Below are the comparison results on existing multi-image benchmarks. On average,
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| IQ Test | 25.3 | 26.7 | 26.0 | 30.7 | 25.3 | 29.3 | 26.0 | 34.0 | 19.3 |
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| Jigsaw | 68.0 | 86.0 | 55.3 | 52.7 | 71.3 | 72.7 | 57.3 | 68.0 | 67.3 |
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| Multi-View Reasoning | 54.1 | 44.4 | 48.9 | 42.9 | 48.9 | 48.1 | 55.6 | 49.6 | 46.6 |
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| Object Localization | 49.2 | 54.9 | 53.3 | 54.1 |
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| Relative Depth | 69.4 | 77.4 | 63.7 | 67.7 |
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| Relative Reflectance | 37.3 | 34.3 | 32.8 | 38.8 | 32.8 | 27.6 | 36.6 | 38.8 | 40.3 |
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| Semantic Correspondence | 36.7 | 31.7 | 31.7 | 22.3 | 32.4 | 31.7 | 45.3 | 48.9 | 54.0 |
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| Spatial Relation | 65.7 | 75.5 | 78.3 | 78.3 | 55.9 | 81.1 | 60.1 | 79.0 | 84.6 |
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| Visual Correspondence | 53.5 | 40.7 | 34.9 | 33.1 | 29.7 | 52.9 | 72.1 | 81.4 | 86.0 |
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| Visual Similarity | 83.0 | 91.9 | 48.1 | 45.2 | 47.4 | 77.8 | 84.4 | 81.5 | 88.1 |
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| **Overall** | **57.0** | **53.1** | **45.9** | **45.4** | **45.
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**Video-MME**: comprehensively assess the capabilities of MLLMs in processing video data, covering a wide range of visual domains, temporal durations, and data modalities.
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@@ -248,8 +248,8 @@ To understand the capabilities, we compare Phi-3.5-vision with a set of models o
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| Category | Benchmark | Phi-3.5-vision-instruct | Intern-VL-2-4B | Intern-VL-2-8B | Gemini-1.5-Flash | GPT-4o-mini 2024-7-18 | Claude-3.5-Sonnet | Gemini-1.5-Pro | GPT-4o 2024-5-13 |
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|--|--|--|--|--|--|--|--|--|--|
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| Popular aggregated benchmark | MMMU (val) | 43.0 | 44.22 | 46.33 | 49.33 | 52.1 | 52.67 | 54.11 | 61.78 |
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| | MMBench (dev-en) | 81.9 | 83.4 | 87.0 | 85.7 | 83.8 | 82.3 | 87.9 |
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| Visual scientific knowledge reasoning | ScienceQA (img-test) | 91.3 | 94.9 | 95.9 | 84.5 | 84.0 | 73.8 | 86.0 | 88.
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| Visual math reasoning | MathVista (testmini) | 43.9 | 53.7 | 51.1 | 55.3 | 38.8 | 54.0 | 57.4 | 54.4 |
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| | InterGPS (test) | 36.3 | 45.6 | 53.2 | 39.4 | 39.9 | 45.6 | 58.2 | 46.9 |
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| Chart reasoning | AI2D (test) | 78.1 | 77.3 | 81.4 | 78.4 | 75.2 | 68.9 | 75.6 | 82.8 |
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| IQ Test | 25.3 | 26.7 | 26.0 | 30.7 | 25.3 | 29.3 | 26.0 | 34.0 | 19.3 |
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| Jigsaw | 68.0 | 86.0 | 55.3 | 52.7 | 71.3 | 72.7 | 57.3 | 68.0 | 67.3 |
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| Multi-View Reasoning | 54.1 | 44.4 | 48.9 | 42.9 | 48.9 | 48.1 | 55.6 | 49.6 | 46.6 |
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| Object Localization | 49.2 | 54.9 | 53.3 | 54.1 | 44.3 | 57.4 | 62.3 | 65.6 | 68.0 |
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| Relative Depth | 69.4 | 77.4 | 63.7 | 67.7 | 57.3 | 58.1 | 71.8 | 76.6 | 71.0 |
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| Relative Reflectance | 37.3 | 34.3 | 32.8 | 38.8 | 32.8 | 27.6 | 36.6 | 38.8 | 40.3 |
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| Semantic Correspondence | 36.7 | 31.7 | 31.7 | 22.3 | 32.4 | 31.7 | 45.3 | 48.9 | 54.0 |
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| Spatial Relation | 65.7 | 75.5 | 78.3 | 78.3 | 55.9 | 81.1 | 60.1 | 79.0 | 84.6 |
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| Visual Correspondence | 53.5 | 40.7 | 34.9 | 33.1 | 29.7 | 52.9 | 72.1 | 81.4 | 86.0 |
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| Visual Similarity | 83.0 | 91.9 | 48.1 | 45.2 | 47.4 | 77.8 | 84.4 | 81.5 | 88.1 |
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| **Overall** | **57.0** | **53.1** | **45.9** | **45.4** | **45.8** | **51.9** | **56.5** | **61.0** | **63.2** |
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**Video-MME**: comprehensively assess the capabilities of MLLMs in processing video data, covering a wide range of visual domains, temporal durations, and data modalities.
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| Category | Benchmark | Phi-3.5-vision-instruct | Intern-VL-2-4B | Intern-VL-2-8B | Gemini-1.5-Flash | GPT-4o-mini 2024-7-18 | Claude-3.5-Sonnet | Gemini-1.5-Pro | GPT-4o 2024-5-13 |
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|--|--|--|--|--|--|--|--|--|--|
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| Popular aggregated benchmark | MMMU (val) | 43.0 | 44.22 | 46.33 | 49.33 | 52.1 | 52.67 | 54.11 | 61.78 |
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| | MMBench (dev-en) | 81.9 | 83.4 | 87.0 | 85.7 | 83.8 | 82.3 | 87.9 | 88.4 |
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| Visual scientific knowledge reasoning | ScienceQA (img-test) | 91.3 | 94.9 | 95.9 | 84.5 | 84.0 | 73.8 | 86.0 | 88.5 |
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| Visual math reasoning | MathVista (testmini) | 43.9 | 53.7 | 51.1 | 55.3 | 38.8 | 54.0 | 57.4 | 54.4 |
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| | InterGPS (test) | 36.3 | 45.6 | 53.2 | 39.4 | 39.9 | 45.6 | 58.2 | 46.9 |
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| Chart reasoning | AI2D (test) | 78.1 | 77.3 | 81.4 | 78.4 | 75.2 | 68.9 | 75.6 | 82.8 |
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