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Multimodal Evaluation on MMBench CN

82.8AccuracyQwen2.5-VL-7B
54.30461.70269.176.498Jun 28, 2024Oct 28, 2024Feb 27, 2025Jun 30, 2025Oct 30, 2025Mar 1, 2026Jul 2, 2026

Evaluation results

MethodLinks
Qwen2.5-VL-7BRetain Tokens=1296, Retain Ratio (%)=100%2026.0782.884
Qwen2.5-VL-7BRatio=100%, Backbone=Qwen2.5-VL-7B2026.0582.37—
F3ARatio=40%, Backbone=Qwen2.5-VL-7B2026.0581.94—
F3ARatio=60%, Backbone=Qwen2.5-VL-7B2026.0581.82—
VisionZipRatio=60%, Backbone=Qwen2.5-VL-7B2026.0581.71—
CDPrunerRatio=60%, Backbone=Qwen2.5-VL-7B2026.0581.55—
DivPruneRatio=60%, Backbone=Qwen2.5-VL-7B2026.0581.38—
EADPRetain Tokens=512, Retain Ratio (%)=↓ 60.5%2026.0780.878
FastVRatio=60%, Backbone=Qwen2.5-VL-7B2026.0580.72—
VisionZipRatio=40%, Backbone=Qwen2.5-VL-7B2026.0580.72—
DivPruneRatio=40%, Backbone=Qwen2.5-VL-7B2026.0580.56—
DivPruneRetain Tokens=512, Retain Ratio (%)=↓ 60.5%2026.0780.478.1
CDPrunerRatio=40%, Backbone=Qwen2.5-VL-7B2026.0580.31—
F3ARatio=20%, Backbone=Qwen2.5-VL-7B2026.0580.24—
HiPruneRetain Tokens=512, Retain Ratio (%)=↓ 60.5%2026.0780.175.9
FastVRatio=40%, Backbone=Qwen2.5-VL-7B2026.0580.06—
HiPruneRetain Tokens=256, Retain Ratio (%)=↓ 80.2%2026.077969.4
EADPRetain Tokens=256, Retain Ratio (%)=↓ 80.2%2026.0778.574.3
CDPrunerRetain Tokens=512, Retain Ratio (%)=↓ 60.5%2026.0778.371.6
DivPruneRetain Tokens=256, Retain Ratio (%)=↓ 80.2%2026.0778.373.6
CDPrunerRatio=20%, Backbone=Qwen2.5-VL-7B2026.0577.84—
VisionZipRatio=20%, Backbone=Qwen2.5-VL-7B2026.0577.59—
DivPruneRatio=20%, Backbone=Qwen2.5-VL-7B2026.0577.43—
DivPruneRetain Tokens=128, Retain Ratio (%)=↓ 90.1%2026.0777.366.4
FastVRatio=20%, Backbone=Qwen2.5-VL-7B2026.0576.6—
EADPRetain Tokens=128, Retain Ratio (%)=↓ 90.1%2026.0776.468.4
HiPruneRetain Tokens=128, Retain Ratio (%)=↓ 90.1%2026.0776.262.3
CDPrunerRetain Tokens=256, Retain Ratio (%)=↓ 80.2%2026.0774.765
mPlug-Owl3LLM=Qwen-8B2024.1174.3—
SliMELLM=Llama3-8B2024.1171.8—
CDPrunerRetain Tokens=128, Retain Ratio (%)=↓ 90.1%2026.0771.758.2
FocusLLaVALLM=Llama3-8B2024.1170.3—
LLaVA-NeXTLLM=Llama3-8B, implementation=ours2024.1170.1—
LLaVA-1.5LLM=Llama3-8B2024.1167.7—
APTBase Model=LLaVA-1.5-13B, Img/s=2.72, Speedup=+23%2025.1063.7—
LLaVA-1.5-13BImg/s=2.22, Speedup=-2025.1063.4—
FSRBackbone=LLaVA-NeXT-13B, Tokens Retained=960, Pruning Ratio=66.7%2026.0263.3—
FSRBackbone=LLaVA-NeXT-13B, Tokens Retained=640, Pruning Ratio=77.8%2026.0263.3—
VisPrunerBackbone=LLaVA-NeXT-13B, Tokens Retained=960, Pruning Ratio=66.7%2026.0263.1—
FSRBackbone=LLaVA-NeXT-13B, Tokens Retained=320, Pruning Ratio=88.9%2026.0263.1—
DivPruneBackbone=LLaVA-NeXT-13B, Tokens Retained=640, Pruning Ratio=77.8%2026.0262.9—
VisionZipBackbone=LLaVA-NeXT-13B, Tokens Retained=640, Pruning Ratio=77.8%2026.0262.6—
VisPrunerBackbone=LLaVA-NeXT-13B, Tokens Retained=640, Pruning Ratio=77.8%2026.0262.6—
CDPrunerBackbone=LLaVA-NeXT-13B, Tokens Retained=960, Pruning Ratio=66.7%2026.0262.5—
CDPrunerBackbone=LLaVA-NeXT-13B, Tokens Retained=640, Pruning Ratio=77.8%2026.0262.5—
HoloVBackbone=LLaVA-NeXT-13B, Tokens Retained=320, Pruning Ratio=88.9%2026.0262.5—
VisPrunerBackbone=LLaVA-NeXT-13B, Tokens Retained=320, Pruning Ratio=88.9%2026.0262.5—
ResizingBase Model=LLaVA-1.5-13B, Img/s=2.72, Speedup=+23%2025.1062.5—
VisionZipBackbone=LLaVA-NeXT-13B, Tokens Retained=320, Pruning Ratio=88.9%2026.0262.3—
DivPruneBackbone=LLaVA-NeXT-13B, Tokens Retained=320, Pruning Ratio=88.9%2026.0261.9—
CDPrunerBackbone=LLaVA-NeXT-13B, Tokens Retained=320, Pruning Ratio=88.9%2026.0261.9—
LLaVA-NeXT-13BBackbone=LLaVA-NeXT-13B, Tokens Retained=2880, Pruning Ratio=0%2026.0261.2—
RandomBase Model=LLaVA-1.5-13B, Img/s=2.79, Speedup=+26%2025.1060.8—
LLaVA-NeXTLLM=Vicuna-7B2024.1160.6—
VanillaBackbone=LLaVA-NeXT-7B, Token Retention=2880, Reduction Ratio=100%2026.0260.6—
HoloVBackbone=LLaVA-NeXT-13B, Tokens Retained=640, Pruning Ratio=77.8%2026.0260.6—
LLaVoltaStages=Three, Scheme=compr. deeper, #Tokens=10597, Compression Ratio (CR)=174%, TFLOPS=8.26, Latency (ms)=68.5, Train Time=12.8h2024.0659.9—
LLaVoltaStages=Four, Scheme=deeper then wider, #Tokens=10863, Compression Ratio (CR)=170%, TFLOPS=8.26, Latency (ms)=68.5, Train Time=12.8h2024.0659.9—
FastVBackbone=LLaVA-NeXT-13B, Tokens Retained=640, Pruning Ratio=77.8%2026.0259.9—
LLaVoltaStages=Single, Scheme=no compression, #Tokens=18432, Compression Ratio (CR)=-, TFLOPS=8.26, Latency (ms)=68.5, Train Time=15.3h2024.0659.4—
LLaVoltaStages=Four, Scheme=wider then deeper, #Tokens=11088, Compression Ratio (CR)=166%, TFLOPS=8.26, Latency (ms)=68.5, Train Time=12.9h2024.0659.3—
ApETBackbone=LLaVA-NeXT-7B, Token Retention=640, Reduction Ratio=77.8%2026.0259.3—
LLaVoltaStages=Three, Scheme=compr. wider, #Tokens=10407, Compression Ratio (CR)=177%, TFLOPS=8.26, Latency (ms)=68.5, Train Time=12.8h2024.0659.1—
LLaVoltaStages=Three, Scheme=last stage compression, #Tokens=7848, Compression Ratio (CR)=235%, TFLOPS=5.47, Latency (ms)=52.2, Train Time=12.4h2024.0659.1—
LLaVoltaStages=Two, Scheme=compression, #Tokens=10062, Compression Ratio (CR)=183%, TFLOPS=8.26, Latency (ms)=68.5, Train Time=12.8h2024.0659—
SparseVLMBackbone=LLaVA-NeXT-7B, Token Retention=640, Reduction Ratio=77.8%2026.0258.5—
PDropBackbone=LLaVA-NeXT-7B, Token Retention=640, Reduction Ratio=77.8%2026.0258.5—
LLaVA-1.5LLM=Vicuna-7B2024.1158.3—
Upper Bound2025.1258.3—
LLaVA-1.5-7BRetain Tokens=5762026.0458.3—
APTBase Model=LLaVA-1.5-7B, Img/s=4.51, Speedup=+22%2025.1058.2—
LLaVA-1.5-7BRetained Tokens=5762026.0358.1—
LLaVA-1.5-7BImg/s=3.70, Speedup=-2025.1058.1—
ResizingBase Model=LLaVA-1.5-7B, Img/s=4.51, Speedup=+22%2025.1058.1—
LLaVA-1.5-7BRetain Tokens=576, Pruning Ratio=0%2026.0758.1—
FlashVLMToken Budget=128 Tokens, Pruning Rate=77.8%2025.1257.6—
RandomBase Model=LLaVA-1.5-7B, Img/s=4.58, Speedup=+24%2025.1057.6—
LLaVA-1.5Inference Mode=Normal, Pruning Rate (p)=0%, Mode Isolator Employment=No2026.0257.39—
VisPrunerRetained Tokens=1282026.0357.3—
DualSpeedInference Mode=Pruning, Pruning Rate (p)=90%, Mode Isolator Employment=No2026.0257.13—
VisionZipRetained Tokens=1282026.0357—
NaivePruneInference Mode=Pruning, Pruning Rate (p)=90%, Mode Isolator Employment=No2026.0256.96—
SparseVLMRetained Tokens=1282026.0356.9—
DualSpeedInference Mode=Normal, Pruning Rate (p)=0%, Mode Isolator Employment=No2026.0256.87—
DualSpeedInference Mode=Pruning, Pruning Rate (p)=90%, Mode Isolator Employment=Yes2026.0256.87—
ApETBackbone=LLaVA-NeXT-7B, Token Retention=320, Reduction Ratio=88.9%2026.0256.6—
HoloVBackbone=LLaVA-NeXT-13B, Tokens Retained=960, Pruning Ratio=66.7%2026.0256.4—
HiPruneRetain Tokens=128, Pruning Ratio=77.8%2026.0756.4—
PDropBackbone=LLaVA-NeXT-7B, Token Retention=320, Reduction Ratio=88.9%2026.0256.2—
SparseVLMRetain Tokens=128, Pruning Ratio=77.8%2026.0756.1—
DARTRetain Tokens=128, Pruning Ratio=77.8%2026.0756—
SparseVLMBackbone=LLaVA-NeXT-7B, Token Retention=320, Reduction Ratio=88.9%2026.0255.9—
FastVRetained Tokens=1282026.0355.9—
VisionZipRetain Tokens=128, Pruning Ratio=77.8%2026.0755.9—
FlashVLMToken Budget=64 Tokens, Pruning Rate=88.9%2025.1255.8—
PruMerge+Retained Tokens=1282026.0355.8—
AgilePrunerRetained Tokens=642026.0355.8—
ID-SelectionImportance Criterion=unified score, Retain Tokens=642026.0455.8—
AgilePrunerRetained Tokens=1282026.0355.5—
VisionZipRetained Tokens=642026.0355.4—