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Matrix Multiplication on KernelBench FP4 Matmul

2,898Throughput (TF/s)AutoKernel (Triton)
-11.92743.541,4992,254.46Mar 22, 2026

Evaluation results

MethodLinks
AutoKernel (Triton)Shape (M×N×K)=2048×18432×3072, Precision=FP4, Hardware=H1002026.032,8980.081.63
AutoKernel (Triton)Shape (M×N×K)=1024×18432×3072, Precision=FP4, Hardware=H1002026.032,7770.0421.73
AutoKernel (Triton)Shape (M×N×K)=4096×3072×3072, Precision=FP4, Hardware=H1002026.032,4430.0321.74
CUTLASSShape (M×N×K)=2048×18432×3072, Precision=FP4, Hardware=H1002026.031,7770.13—
AutoKernel (Triton)Shape (M×N×K)=2048×3072×3072, Precision=FP4, Hardware=H1002026.031,6620.0231.72
CUTLASSShape (M×N×K)=1024×18432×3072, Precision=FP4, Hardware=H1002026.031,6090.072—
AutoKernel (Triton)Shape (M×N×K)=1024×3072×3072, Precision=FP4, Hardware=H1002026.031,4770.0132.15
CUTLASSShape (M×N×K)=4096×3072×3072, Precision=FP4, Hardware=H1002026.031,4050.055—
AutoKernel (Triton)Shape (M×N×K)=128×18432×3072, Precision=FP4, Hardware=H1002026.031,1050.0132.01
CUTLASSShape (M×N×K)=2048×3072×3072, Precision=FP4, Hardware=H1002026.039640.04—
CUTLASSShape (M×N×K)=1024×3072×3072, Precision=FP4, Hardware=H1002026.036860.028—
CUTLASSShape (M×N×K)=128×18432×3072, Precision=FP4, Hardware=H1002026.035500.026—
AutoKernel (Triton)Shape (M×N×K)=128×3072×3072, Precision=FP4, Hardware=H1002026.031860.0131.86
CUTLASSShape (M×N×K)=128×3072×3072, Precision=FP4, Hardware=H1002026.031000.024—