Slow mysql query execution across local network - mysql

Question

I have a mysql database set up on a mac mini server on a local network. When I query the database from the server as the root user, everything behaves well. However, I am having serious problems when I log into mysql from another machine on the local network I perform those same queries.
For example, the table items has 1,831,218 rows and two columns, item and total (not indexed). When I perform the following query is is very quick as expected:
mysql> select * from items limit 10;
+------+-----------+
| item | total |
+------+-----------+
| a | 577846916 |
| b | 489378579 |
| c | 485798873 |
| d | 476865689 |
| e | 425954264 |
| f | 399431640 |
| g | 375218023 |
| h | 325892006 |
| i | 169948795 |
| j | 116927132 |
+------+-----------+
10 rows in set (0.00 sec)
Now by logging in remotely from another machine on the network:>mysql --host=192.168.2.2 -u newuser -p, where newuser has select privileges on the database, I perform the same query and get wildly different execution times.
mysql> select * from items limit 10;
+------+-----------+
| item | total |
+------+-----------+
| a | 577846916 |
| b | 489378579 |
| c | 485798873 |
| d | 476865689 |
| e | 425954264 |
| f | 399431640 |
| g | 375218023 |
| h | 325892006 |
| i | 169948795 |
| j | 116927132 |
+------+-----------+
10 rows in set (7 min 3.10 sec)
This is an exceptionally bad example that doesn't happen all the time, but in general queries are much slower (usually 10-100 times slower (or more) than on the server itself). For this much of a slow down it doesn't seem likely that the bottleneck has to do with latency in the network, but rather some configuration issue that is causing mysql to not communicate well with between the server and the various nodes.
Aside from verifying that both machines are running he same version of mysql: mysql Ver 14.14 Distrib 5.6.19, for osx10.7 (x86_64) using EditLine wrapper, I am not sure what other settings to verify and what else to do to try to fix this problem.
Please let me know if anyone has any ideas, thank you.