Same query taking less time in low configuration machine - Mailing list pgsql-performance

Hi,

I have two machines - one with 8GB RAM & 4core CPU and the other with 64GB Ram & 24 core CPU.  Both machines have the same DB (Postgres 12 + Postgis 2.5.3).  Same query is taking less time in low end machine whereas more time in high end machine.  Any thoughts on where to look?  I have tuned the db in both machines according to https://pgtune.leopard.in.ua/#/, the function will refer around 14 tables,  since both the tables are have same index and views.

  Please find the attachment for query explain & analyze and bonnie result of  both the machines.

Low End Machine

-bash-4.2$ psql -p 5434
psql (12.3)
Type "help" for help.

postgres=# \c IPDS_KSEB;
You are now connected to database "IPDS_KSEB" as user "postgres".
IPDS_KSEB=# explain analyze select * from kseb_geometry_trace_with_barrier_partition(5,'kottarakara_version',437,'htline',2) ;
                                                                       QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------------------------------------
 Function Scan on kseb_geometry_trace_with_barrier_partition  (cost=0.25..10.25 rows=1000 width=169) (actual time=11626.548..11626.568 rows=254 loops=1)
 Planning Time: 0.212 ms
 Execution Time: 11628.590 ms

High End Machine

-bash-4.2$ psql -p 5422
psql (12.3)
Type "help" for help.

postgres=# \c IPDS_KSEB;
You are now connected to database "IPDS_KSEB" as user "postgres".
IPDS_KSEB=# explain analyze select * from kseb_geometry_trace_with_barrier_partition(5,'kottarakara_version',437,'htline',2) ;
                                                                       QUERY PLAN
---------------------------------------------------------------------------------------------------------------------------------------------------------
 Function Scan on kseb_geometry_trace_with_barrier_partition  (cost=0.25..10.25 rows=1000 width=169) (actual time=22304.425..22304.448 rows=254 loops=1)
 Planning Time: 0.219 ms
 Execution Time: 22352.219 ms
(3 rows)