Are 6..8 seconds to read 23.000 small rows - as it should be?

[Per Olesen]

Are 6..8 seconds to read 23.000 small rows - as it should be?

I have a quick question on what I think is bad read performance for this simple 
setup:

 <ColumnFamily Name="Dashboard"
    ColumnType="Super"
    CompareWith="UTF8Type"
    CompareSubcolumnsWith="UTF8Type" />

SCF:Dashboard
  key:username1 -> { 
        SC:uniqStr1 -> { col1:val1, col2: val2, ... col8:val8 },
        SC:uniqStr2 -> { col1:val1, col2: val2, ... col8:val8 },
        SC:uniqStr3 -> { col1:val1, col2: val2, ... col8:val8 },
        SC:uniqStr4 -> { col1:val1, col2: val2, ... col8:val8 },
        ... up to 23.000 "rows"
  key:username2 -> { 
        SC:uniqStr5 -> { col1:val1, col2: val2, ... col8:val8 },
        SC:uniqStr6 -> { col1:val1, col2: val2, ... col8:val8 },
        SC:uniqStr7 -> { col1:val1, col2: val2, ... col8:val8 },
        SC:uniqStr8 -> { col1:val1, col2: val2, ... col8:val8 },
        ...

A given key "username1" has e.g. 23.000 super column unique (rows). When I try 
and simply raw-read all these rows, it takes what I think isn't pretty fast - 
approximately 6-8 seconds. I know, there are a millions things that affect 
this, but I would just like to have a yes or no if this really can be as it 
should be?

My cassandra is a pretty unchanged v0.6.1.

I read using this code:

 ColumnParent parent = new ColumnParent("Dashboard");

 SlicePredicate predicate = new SlicePredicate();
 SliceRange sliceRange = new SliceRange();
 sliceRange.setCount(Integer.MAX_VALUE);
 sliceRange.setStart(toRawValue(""));
 sliceRange.setFinish(toRawValue(""));
 predicate.setSlice_range(sliceRange);

 // timing this takes 6-8 secs.
 return client.get_slice(
   "keyspace", 
   "theusername", 
   columnParent, 
   slicePredicate, 
   ConsistencyLevel.QUORUM
 );
 
My replication factor is 1 and I had two nodes setup in cluster when doing the 
reads.

Shouldn't this be what cassandra can do dead-fast?