CTAS with BLOB column very slow

Hi,
I am creating a new table from backup table having BLOB type of data.
Table size for backup table is approx 250G (along with lob segment) and I am creating new table with predicate selectivity of 110 GB.
Query used is "CREATE TABLE CLAIM AS SELECT /*+ PARALLEL(CLAIM_bkp_04,16) */ * FROM CWS_CLAIM_WORK_bkp_04 WHERE pxobjClass <> 'Claim-Controller' or pyStatusWork <> 'Resolved-Completed' ;
Even after using parallel degree of 16 for CTAS, peformance is very very slow.
Can anyone tell what's the reason for this behavior..
Best Regards
Naveen

>
ID| PARENT_ID|OPERATION |OBJECT_NAME | COST|CARDINALITY
----------|----------|----------------------------------------|------------------------------|----------|-----------
0| |CREATE TABLE STATEMENT | | 47410|
1| 0| LOAD AS SELECT | | |
2| 1| PX COORDINATOR | | |
3| 2| PX SEND QC (RANDOM) |:TQ10000 | 24388| 4623495
4| 3| PX BLOCK ITERATOR | | 24388| 4623495
5| 4| TABLE ACCESS FULL |CWS_CLAIM_WORK_BKP_04 | 24388| 4623495it might be faster WITHOUT using Parallel

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