Why is `speedglm` slower than `glm`?

I am trying to use speedglm to achieve a faster GLM estimation than glm, but why it is even slower?

set.seed(0)
n=1e3
p=1e3
x=matrix(runif(n*p),nrow=n)
y=sample(0:1,n,replace = T)

ptm <- proc.time()
fit=glm(y~x,family=binomial())
print(proc.time() - ptm)
#   user  system elapsed 
#  10.71    0.07   10.78 

library(speedglm)
ptm <- proc.time()
fit=speedglm(y~x,family=binomial())
print(proc.time() - ptm)
#   user  system elapsed 
#  15.11    0.12   15.25