How come geekbench shows 13% more performance for mbp
Hello
So i compared geekbench results for both mbp retina 13 with 2.9ghz processor and the mba 13 with 2.0 ghz processor
And on average the mbp scored 13% more.
So my question is , how come while its processor is 45% faster, the mbp scored only 13% more in geekbench?
E
A couple of points I can think of:
1) Vmware or other emulations can run apps at native speed on the intel based macs, so I concur that there shouldn't be any lag using Windows app through Vmware
2) Powerpoint and other Office apps, to my knowledge, need Rosetta to work on Leopard. This has been shown in various benchmark tests to start up and function much slower than the PowerPC based macs. As you may already know, Rosetta works in the background and you are not aware of it working. It is done automatically when opening the apps in Leopard
3) As for Powerpoint files being saved as Keynote and the resultant keynote being dreadfully slow. Try this: Open Keynote and make a quick presentation with lots of processor intensive builds/actions and see if you notice the lag. If you do, then the problem lies with your computer and you should have a Mac Genius look at it. If you do NOT notice any performance issues with it, then you should look at the particular keynote file (the one that was exported from Powerpoint). Right click the file and make sure "open with Rosetta" is NOT checked off. Uncheck it and open the file again and you should see performance improvement
Good luck
RezF
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Hi,
Firstly I'm not sure if this should be in "Database - General" or "SQL and PL/SQL". Since it's more of a performance tuning question than specifically about the PL/SQL, I'm going to put it here in "Database - General". I hope that doesn't offend anyone.
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Execute 3 0.01 0.01 0 3 0 3
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Event waited on Times Max. Wait Total Waited
---------------------------------------- Waited ---------- ------------
db file sequential read 343 0.08 2.09
db file scattered read 1 0.00 0.00
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Regards,
AdosIf you have a PLSQL block or stored procedure running SQL statements, the SQL statements, too, will appear as RECURSIVE STATEMENTS in the trace file and tkprof.
It is a misconception that RECURSIVE STATEMENTS are only SYS statements doing data dictionary lookups / updates.
For example, I ran this :
SQL> create or replace procedure test_procedure as
2 begin
3 insert into my_emp_table select * from my_emp_table;
4 dbms_output.put_line('Rows Inserted : ' || sql%rowcount);
5 insert into my_emp_table select * from my_emp_table where emplid=1;
6 dbms_output.put_line('Rows Inserted : ' || sql%rowcount);
7 end;
8 /
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Session altered.
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PL/SQL procedure successfully completed.
SQL> commit;
Commit complete.
SQL> select 'x' from dual;
x
SQL> exitThe tkprof shows ;
OVERALL TOTALS FOR ALL NON-RECURSIVE STATEMENTS
call count cpu elapsed disk query current rows
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Execute 3 0.00 0.00 0 0 1 1
Fetch 2 0.00 0.00 0 0 0 1
total 8 0.00 0.00 0 0 1 2
Misses in library cache during parse: 2
Elapsed times include waiting on following events:
Event waited on Times Max. Wait Total Waited
---------------------------------------- Waited ---------- ------------
SQL*Net message to client 5 0.00 0.00
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OVERALL TOTALS FOR ALL RECURSIVE STATEMENTS
call count cpu elapsed disk query current rows
Parse 4 0.00 0.00 0 2 0 0
Execute 4 0.00 0.00 2 16 7 5
Fetch 2 0.00 0.00 0 14 0 2
total 10 0.01 0.01 2 32 7 7
Misses in library cache during parse: 2
Elapsed times include waiting on following events:
Event waited on Times Max. Wait Total Waited
---------------------------------------- Waited ---------- ------------
db file sequential read 2 0.00 0.00
7 user SQL statements in session.
0 internal SQL statements in session.
7 SQL statements in session.Which were the Non-Recursive statements ?
BEGIN test_procedure; END;
commit
select 'x' from dualWhich were the RECURSIVE statements (which you can identify by the keywords : (recursive depth) ?
SELECT /* OPT_DYN_SAMP */ /*+ ALL_ROWS IGNORE_WHERE_CLAUSE
NO_PARALLEL(SAMPLESUB) opt_param('parallel_execution_enabled', 'false')
NO_PARALLEL_INDEX(SAMPLESUB) NO_SQL_TUNE */ NVL(SUM(C1),:"SYS_B_0"),
NVL(SUM(C2),:"SYS_B_1")
FROM
(SELECT /*+ NO_PARALLEL("MY_EMP_TABLE") FULL("MY_EMP_TABLE")
NO_PARALLEL_INDEX("MY_EMP_TABLE") */ :"SYS_B_2" AS C1, :"SYS_B_3" AS C2
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call count cpu elapsed disk query current rows
Parse 1 0.00 0.00 0 0 0 0
Execute 1 0.00 0.00 0 0 0 0
Fetch 1 0.00 0.00 0 7 0 1
total 3 0.00 0.00 0 7 0 1
Misses in library cache during parse: 0
Optimizer mode: ALL_ROWS
Parsing user id: 64 (recursive depth: 2)
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call count cpu elapsed disk query current rows
Parse 1 0.00 0.00 0 1 0 0
Execute 1 0.00 0.00 2 8 4 3
Fetch 0 0.00 0.00 0 0 0 0
total 2 0.00 0.00 2 9 4 3
Misses in library cache during parse: 1
Optimizer mode: ALL_ROWS
Parsing user id: 64 (recursive depth: 1)
SELECT /* OPT_DYN_SAMP */ /*+ ALL_ROWS IGNORE_WHERE_CLAUSE
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NO_PARALLEL_INDEX(SAMPLESUB) NO_SQL_TUNE */ NVL(SUM(C1),:"SYS_B_0"),
NVL(SUM(C2),:"SYS_B_1")
FROM
(SELECT /*+ IGNORE_WHERE_CLAUSE NO_PARALLEL("MY_EMP_TABLE")
FULL("MY_EMP_TABLE") NO_PARALLEL_INDEX("MY_EMP_TABLE") */ :"SYS_B_2" AS C1,
CASE WHEN "MY_EMP_TABLE"."EMPLID"=:"SYS_B_3" THEN :"SYS_B_4" ELSE
:"SYS_B_5" END AS C2 FROM "MY_EMP_TABLE" "MY_EMP_TABLE") SAMPLESUB
call count cpu elapsed disk query current rows
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Execute 1 0.00 0.00 0 0 0 0
Fetch 1 0.00 0.00 0 7 0 1
total 3 0.00 0.00 0 7 0 1
Misses in library cache during parse: 0
Optimizer mode: ALL_ROWS
Parsing user id: 64 (recursive depth: 2)
INSERT INTO MY_EMP_TABLE SELECT * FROM MY_EMP_TABLE WHERE EMPLID=1
call count cpu elapsed disk query current rows
Parse 1 0.00 0.00 0 1 0 0
Execute 1 0.00 0.00 0 8 3 2
Fetch 0 0.00 0.00 0 0 0 0
total 2 0.00 0.00 0 9 3 2
Misses in library cache during parse: 1
Optimizer mode: ALL_ROWS
Parsing user id: 64 (recursive depth: 1)The INSERT statments are recursive depth 1 while the SELECTS they cause are recursive depth 2.
Note that neither of these are are actually SYS statements agaisnt the data dictionary !!
Edit :
IF you read the last few lines, it would become evident that some (in my case all) the RECURSIVE STATEMENTS are non-SYS statements, actually being my code, not Oracle's code.
1 session in tracefile.
7 user SQL statements in trace file.
0 internal SQL statements in trace file.
7 SQL statements in trace file.
7 unique SQL statements in trace file.
87 lines in trace file.
6 elapsed seconds in trace file.I have 3 non-recursive and 4 "RECURSIVE" statements. All 7 are correctly identified as "user SQL statements in trace file".
Hemant K Chitale
http://hemantoracledba.blogspot.com
Edited by: Hemant K Chitale on Jul 29, 2009 11:44 PM
Edited by: Hemant K Chitale on Jul 29, 2009 11:47 PM -
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