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OpenCL Benchmark - CPU vs GPU / DO NOT USE ANYMORE !


mitch_de
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hi mitch_de

 

here is my results.

...........................................................

.................. OpenCL Bench V 0.25 by mitch ...........

...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......

... time results are not comparable to older version! .....

...........................................................

 

Number of OpenCL devices found: 2

OpenCL Device # 0 = Radeon HD 4870

Device 0 is an: GPU with max. 750 MHz and 4 units/cores

Now computing - please be patient....

time used: 3.997 seconds

 

OpenCL Device # 1 = Intel® Core2 Duo CPU E8400 @ 3.00GHz

Device 1 is an: CPU with max. 4000 MHz and 2 units/cores

Now computing - please be patient....

time used: 11.982 seconds

 

Now checking if results are valid - please be patient....

:) Validate test passed - GPU results=CPU results :)

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smth like

for(i=0;i

for(loop....

should be enough to add just one line (and one for int i;)

Hi netkas & all other coding heros:

I made the SOURCE CODE is available (as xproject), would be fine to get an much better benchmark.

be free to change "all" and share your work !

 

http://freenet-homepage.de/amichalak/OpenCL2_SRC.zip

 

Latest openCL Specification / Manual

http://www.khronos.org/registry/cl/specs/opencl-1.0.43.pdf

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...........................................................

.................. OpenCL Bench V 0.25 by mitch ...........

...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......

... time results are not comparable to older version! .....

...........................................................

 

Number of OpenCL devices found: 2

OpenCL Device # 0 = GeForce 9400 GT

Device 0 is an: GPU with max. 1375 MHz and 16 units/cores

Now computing - please be patient....

time used: 3.992 seconds

 

OpenCL Device # 1 = Intel® Core2 CPU E7500 @ 2.93GHz

Device 1 is an: CPU with max. 3666 MHz and 2 units/cores

Now computing - please be patient....

time used: 12.048 seconds

 

Now checking if results are valid - please be patient....

:wacko: Validate test passed - GPU results=CPU results :)

 

Thanks

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...........................................................

.................. OpenCL Bench V 0.25 by mitch ...........

...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......

... time results are not comparable to older version! .....

...........................................................

 

Number of OpenCL devices found: 2

OpenCL Device # 0 = GeForce 9500 GT

Device 0 is an: GPU with max. 1350 MHz and 32 units/cores

Now computing - please be patient....

time used: 3.053 seconds

 

OpenCL Device # 1 = Intel® Core2 CPU 6600 @ 2.40GHz

Device 1 is an: CPU with max. 3800 MHz and 2 units/cores

Now computing - please be patient....

time used: 15.188 seconds

 

Now checking if results are valid - please be patient....

:| Validate test passed - GPU results=CPU results :D

logout

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Here is my "updated" score from SL.

 

...........................................................

.................. OpenCL Bench V 0.15 by mitch ...........

...... C2D 3GHz = 30 sec vs Nvidia 9600GT = 3.10 sec ......

....... .......

........My test code (simple adds) is cpu friedly..........

.more gpu friedly+complexer code (raytracing/video encod.).

... may give much more speed advantage - at least on C2Ds .

...........................................................

 

....CL_DEVICE_NAME: Intel® Core i7 CPU 920 @ 2.67GHz .....

CL_DEVICE_VENDOR: Intel

CL_DEVICE_MAX_CLOCK_FREQUENCY: 4280 MHz

CL_DEVICE_MAX_COMPUTE_UNITS: 8

Now computing - please be patient....

time used: 3.834852

Number of elements computed: 2097152

 

....CL_DEVICE_NAME: GeForce GTX 285 .....

CL_DEVICE_VENDOR: NVIDIA

CL_DEVICE_MAX_CLOCK_FREQUENCY: 1584 MHz

CL_DEVICE_MAX_COMPUTE_UNITS: 240

Now computing - please be patient....

time used: 0.861248

Number of elements computed: 2097152

Now checking if results are valid - please be patient....

:D Validate results test passed - GPU=CPU :)

 

This program seems to multi-thread very well according to SL's CPU Usage monitor.

8 units for the intel cpu?

 

how is that possible?

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My time with a 8800GTS a bit OCed...

 

Last login: Thu Aug 27 17:55:56 on ttys000
/Users/raulmiguel/Downloads/OpenCLBench_as_terminal_tool/OpenCL2_Bench_V025; exit;
Raul-Miguels-Mac:~ raulmiguel$ /Users/raulmiguel/Downloads/OpenCLBench_as_terminal_tool/OpenCL2_Bench_V025; exit;
...........................................................
.................. OpenCL Bench V 0.25 by mitch ...........
...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......
... time results are not comparable to older version! .....
...........................................................

Number of OpenCL devices found: 2
OpenCL Device # 0 = GeForce 8800 GTS 512
Device 0 is an: GPU with max. 1750 MHz and 128 units/cores 
Now computing - please be patient....
time used:  0.621 seconds

OpenCL Device # 1 = Intel(R) Core(TM)2 Quad CPU	Q6600  @ 2.40GHz
Device 1 is an: CPU with max. 3800 MHz and 4 units/cores 
Now computing - please be patient....
time used:  5.866 seconds

Now checking if results are valid - please be patient....
:) Validate test passed - GPU results=CPU results :) 
logout

[Process completed]

 

cya

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Please change __kernel void vectorAdd(

 

__global const float * a,

 

__global const float * b,

 

__global float * c)

 

{

 

// Vector element index

 

int loop;

 

int test1;

 

int nIndex = get_global_id(0);

 

for (loop=1; loop< 1000; loop++)

 

{

 

c[nIndex] = a[nIndex] + b[nIndex];

 

c[nIndex] = c[nIndex] * (a[nIndex] + b[nIndex]);

 

c[nIndex] = c[nIndex] * (a[nIndex] / 2.0 );

 

}

 

}

 

to use float4 sould use vector units on CPU (SSE) and ATI (improve perf 4x) also should imporve meory fetches on ATI GPUs (optimized for float4)..

 

 

If you are brave enough use float8 (hey it shold be ready for Sandy Bridge AVX extensions) or more brave enough to float16 (hey ready for Larrabe)..

 

 

 

 

 

 

 

and loop 250 times:

 

also

 

loop=1; loop< 1000;

 

only exectues 1000-1 times

 

__kernel void vectorAdd(

 

__global const float4 * a,

 

__global const float4 * b,

 

__global float4 * c)

 

{

 

// Vector element index

 

int loop;

 

int test1;

 

int nIndex = get_global_id(0);

 

for (loop=0; loop< 250; loop++)

 

{

 

c[nIndex] = a[nIndex] + b[nIndex];

 

c[nIndex] = c[nIndex] * (a[nIndex] + b[nIndex]);

 

c[nIndex] = c[nIndex] * (a[nIndex] / 2.0 );

 

}

 

}

 

:P

The DL link is at the end of that posting.

- Mac OS X 10.6 - Snow Leopard ONLY ! (will not run in 10.5 / 10.4....)

 

UPDATED OpenCL_BENCH to V025

V025 changes

- fixed bug with showing same cards twice in system > 2 gnu (hopefully fixed: )

- ATI compatible , reduced gnu code in size for an fix of the ATI problems with this bench

- therefor the time results cant be 100% compared to old versions - faster on CPU+GPU

GPU time new = GPU time old / 3,3

CPU time new = CPU time old / 2,5

So GPU part shows more advantages vs CPU with that version

- cleaned up the informations for better readability

- GPUs now shown + benched before CPU

- added error handling code

 

SOURCE CODE available - help to get ATI running well / make Bench much better

 

http://freenet-homepage.de/amichalak/OpenCL2_SRC.zip

 

 

 

OPENCL - Good to know :

- OpenCL is an API for universal GPU(CPU) computing

- main difference to CUDA / ATI STEAM is: both only working with their "own" gpu.

an CUDA (NV) app like badaboom(h264 on GPU) cant work on an ATI gpu and vice versa

- OpenCL is universal means:

- Xcode / GCC compiles an code which includes the source (in C as an string) for the gpu programm

that c source is , different to CUDA/ATI STEAM , is compiled later by OpenCL at runtime !

So same App can run on complete different gpus and also , without/less codechange om CPU if no

OpemCL gpu (newer ones) is found

The source (example below) for the gpu programm will be really compiled at runtime, not only interpreted.

So little differences between run of my bench may happen because of that compile on the run ;)

 

Results posted:

Conclusion until now:

The faster the GPU(exact the Units/programmpart) and slower the CPU the more useful is OpenCL.

 

NEW V025 test results !

 

ATIs (no freezes of the bench anymore :) , ATI 4870 works now):

Number of OpenCL devices found: 3

OpenCL Device # 0 = Radeon HD 4870

Device 0 is an: GPU with max. 750 MHz and 4 units/cores // 4 cores are wrong !!! //

Now computing - please be patient....

time used: 4.126 seconds

 

by mtonkol

Number of OpenCL devices found: 2

OpenCL Device # 0 = Radeon HD 4870

Device 0 is an: GPU with max. 750 MHz and 4 units/cores

time used: 3.997 seconds

At least with actual drivers and my benchmark ATI benches are useless.

Seems to be that either OpenCL isnt sooo universal (same code run on all GPUs optimized) or bugs in ATI OpenCL part. Maybe some OpenCL PRAGMA settings must set for ATI to get better performance.

 

NVIDIAs:

proengin is the HERO of the day

:superman:

Number of OpenCL devices found: 2

OpenCL Device # 0 = GeForce GTX 285

Device 0 is an: GPU with max. 1584 MHz and 240 units/cores

time used: 0.231 seconds

OpenCL Device # 1 = Intel® Core™ i7 CPU 920 4,3GHz

time used: 1.296 seconds

 

by grue:

Number of OpenCL devices found: 3

OpenCL Device # 0 = GeForce 8800 GT

Device 0 is an: GPU with max. 1500 MHz and 112 units/cores

time used: 0.683 seconds

OpenCL Device # 1 = GeForce GTX 260

Device 1 is an: GPU with max. 1400 MHz and 216 units/cores

time used: 0.365 seconds

OpenCL Device # 2 = Intel® Xeon® CPU X5365 @ 3.00GHz

time used: 3.094 seconds

 

by moondark

Number of OpenCL devices found: 3

OpenCL Device # 0 = GeForce 9600M GT

Device 0 is an: GPU with max. 1250 MHz and 32 units/cores

time used: 2.798 seconds

OpenCL Device # 1 = GeForce 9400M

Device 1 is an: GPU with max. 1100 MHz and 16 units/cores

time used: 9.549 seconds

OpenCL Device # 2 = Intel® Core™2 Duo CPU P8600 @ 2.40GHz

time used: 15.800 seconds

 

by antic

Number of OpenCL devices found: 2

OpenCL Device # 0 = GeForce 9500 GT

Device 0 is an: GPU with max. 1350 MHz and 32 units/cores

time used: 3.053 seconds

OpenCL Device # 1 = Intel® Core™2 CPU 6600 @ 3.80GHz

time used: 15.188 seconds

 

by ricola

Number of OpenCL devices found: 2

OpenCL Device # 0 = GeForce 9400 GT

Device 0 is an: GPU with max. 1375 MHz and 16 units/cores

time used: 3.992 seconds

OpenCL Device # 1 = Intel® Core™2 CPU E7500 @ 3,66 GHz

time used: 12.048 seconds

 

 

OLD results <=V020

by elitee : GeForce GTX 260 1242 MHz/216 Units = 1, 31 sec vs E8400_3.00GHz = 36 sec

27 times faster than CPU :)

 

by music-anderson (MacPro (Periode1) 4 Cores)

GeForce 8800 GT Mac (1500 MHz/112 Units) = 2,6 sec . vs Xeon® CPU 5150_2.66GHz = 16,8 sec

 

by miketress: Geforce 9600 GT/ = 2,6 sec vs i7 CPU 920_3.8GHZ[/b]) = 8.152 sec

 

integrated / mobile GPUs:

by ugokind : GeForce 9600M GT(1225 MHz/32 units) = 19.5 sec vs CPU P7350_2.00GHz= 110 sec

by Sherry Haibara : GeForce 9400M =15,6 sec vs CPU P8700_2.53GHz =37 sec

 

readme is within the zipped download below

newest DL LINK is alwys the last link V025

(timeresults changed, look at changes for compare to old time results

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Thanks ! Will do that soon and upload V030.

EDIT: First runs show that float4 (in gpu source & main app) makes gpu part run significant slower(on my 9600). Insted 10 times faster than CPU with float4 it runs 2 times slower than CPU.

 

Also i have seen that AMD ( http://ati.amd.com/technology/streamcomput...tro_opencl.html ) also uses float and not float4 in their own example.

 

I will now change the code back to float, but remove the loop so that the source looks like amd example ;

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...........................................................

 

Number of OpenCL devices found: 2

OpenCL Device # 0 = GeForce 9800 GT

Device 0 is an: GPU with max. 1500 MHz and 112 units/cores

Now computing - please be patient....

time used: 0.747 seconds

 

OpenCL Device # 1 = Intel® Core2 Duo CPU E8400 @ 3.00GHz

Device 1 is an: CPU with max. 4000 MHz and 2 units/cores

Now computing - please be patient....

time used: 14.566 seconds

 

Now checking if results are valid - please be patient....

:) Validate test passed - GPU results=CPU results :)

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new results for mbp/late'08 on version 025:

Number of OpenCL devices found: 3
OpenCL Device # 0 = GeForce 9600M GT
Device 0 is an: GPU with max. 1250 MHz and 32 units/cores 
Now computing - please be patient....
time used:  2.798 seconds

OpenCL Device # 1 = GeForce 9400M
Device 1 is an: GPU with max. 1100 MHz and 16 units/cores 
Now computing - please be patient....
time used:  9.023 seconds

OpenCL Device # 2 = Intel(R) Core(TM)2 Duo CPU	 P8600  @ 2.40GHz
Device 2 is an: CPU with max. 2400 MHz and 2 units/cores 
Now computing - please be patient....
time used: 15.139 seconds

 

First runs show that float4 (in gpu source & main app) makes gpu part run significant slower(on my 9600). Insted 10 times faster than CPU with float4 it runs 2 times slower than CPU.

 

Also i have seen that AMD ( http://ati.amd.com/technology/streamcomput...tro_opencl.html ) also uses float and not float4 in their own example.

 

I will now change the code back to float, but remove the loop so that the source looks like amd example ;

well, for one part, this is just a simple kernel, no "how you should do stuff example". float4 should be better on all devices if done correctly (intel sse can do 128-bit/float4 operations, ati gpus have those weird 5D vectors? and nvidia gpus are better with that too).

oh, and you shouldn't do "for (loop=1; loop< 1000; loop++)" inside a kernel, this misses the whole point of opencl. would be better to do that on the outside when calling the kernel. you are also timing the buffer readback (slow!) which isn't such a good idea when you just want to know the raw cpu/gpu power.

 

 

what also puzzles me is that some core i7 folks get 4 compute units and others get 8 ... any idea why? disabled hyper-threading? mainboard/dsdt incompatibility? differences in the x86 and x64 drivers?

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I cleaned up gpu code - without loop, only verctor add line, much smaller memory transfers to/from GPU, time listed in ms not seconds, removed valid checking - and upload an new version soon.

Also an float2 / float4 version will be uloaded.

 

But i dont think that this will change anything of the ATI problems witch the bench!

 

I also got an information of an ATI dev, that ATI´s OpenCL implementation and also HW is a bit different to Nvidias. So at least at these days OpenCL may be not so universal and some fuctions NV supports ATI supports with bad speed and vice versa. Nvidia looks like thats been much earlier developed OpenCL / dev their HW for CUDA functions so has some advantages (until ATI updated OpenCL driver / OpenCL on the fly compiler parts).

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Here is mine Hackintosh result with v025 version ;)

Number of OpenCL devices found: 2
OpenCL Device # 0 = GeForce 9600 GT
Device 0 is an: GPU with max. 1625 MHz and 64 units/cores 
Now computing - please be patient....
time used:  0.726 seconds

OpenCL Device # 1 = Intel(R) Core(TM)2 Duo CPU	 E6750  @ 2.66GHz
Device 1 is an: CPU with max. 2666 MHz and 2 units/cores 
Now computing - please be patient....
time used: 13.448 seconds

Now checking if results are valid - please be patient....
:) Validate test passed - GPU results=CPU results :)

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Hi mitch, here's my results with the new version

...........................................................
.................. OpenCL Bench V 0.25 by mitch ...........
...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......
... time results are not comparable to older version! .....
...........................................................

Number of OpenCL devices found: 2
OpenCL Device # 0 = GeForce 8800 GT
Device 0 is an: GPU with max. 1650 MHz and 112 units/cores 
Now computing - please be patient....
time used:  0.645 seconds

OpenCL Device # 1 = Intel® Core(tm)2 Duo CPU     E7300  @ 2.66GHz
Device 1 is an: CPU with max. 2666 MHz and 2 units/cores 
Now computing - please be patient....
time used: 16.003 seconds

Now checking if results are valid - please be patient....
 Validate test passed - GPU results=CPU results 

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here's my:

...........................................................

.................. OpenCL Bench V 0.25 by mitch ...........

...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......

... time results are not comparable to older version! .....

...........................................................

 

Number of OpenCL devices found: 2

OpenCL Device # 0 = GeForce 9800 GT

Device 0 is an: GPU with max. 1500 MHz and 112 units/cores

Now computing - please be patient....

time used: 0.727 seconds

 

OpenCL Device # 1 = Intel® Core2 Quad CPU Q9300 @ 2.50GHz

Device 1 is an: CPU with max. 3397 MHz and 4 units/cores

Now computing - please be patient....

time used: 5.306 seconds

 

Now checking if results are valid - please be patient....

:( Validate test passed - GPU results=CPU results :P

 

 

:PpPPP

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New versione 0.25:

 

...........................................................
.................. OpenCL Bench V 0.25 by mitch ...........
...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......
... time results are not comparable to older version! .....
...........................................................

Number of OpenCL devices found: 2
OpenCL Device # 0 = GeForce 8800 GT
Device 0 is an: GPU with max. 1600 MHz and 112 units/cores 
Now computing - please be patient....
time used:  0.711 seconds

OpenCL Device # 1 = Pentium® Dual-Core  CPU	  E5200  @ 2.50GHz
Device 1 is an: CPU with max. 3129 MHz and 2 units/cores 
Now computing - please be patient....
time used: 11.599 seconds

Now checking if results are valid - please be patient....
:) Validate test passed - GPU results=CPU results :)

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...........................................................
.................. OpenCL Bench V 0.25 by mitch ...........
...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......
... time results are not comparable to older version! .....
...........................................................

Number of OpenCL devices found: 2
OpenCL Device # 0 = GeForce GTX 260
Device 0 is an: GPU with max. 1408 MHz and 216 units/cores 
Now computing - please be patient....
time used:  0.336 seconds

OpenCL Device # 1 = Intel(R) Core(TM) i7 CPU		 920  @ 2.67GHz
Device 1 is an: CPU with max. 2696 MHz and 8 units/cores 
Now computing - please be patient....
time used:  1.975 seconds

Now checking if results are valid - please be patient....
:) Validate test passed - GPU results=CPU results :)

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...........................................................
.................. OpenCL Bench V 0.25 by mitch ...........
...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......
... time results are not comparable to older version! .....
...........................................................

Number of OpenCL devices found: 2
OpenCL Device # 0 = GeForce 8800 GS
Device 0 is an: GPU with max. 1250 MHz and 64 units/cores 
Now computing - please be patient....
time used:  0.932 seconds

OpenCL Device # 1 = Intel(R) Core(TM)2 Duo CPU	 E8435  @ 3.06GHz
Device 1 is an: CPU with max. 3060 MHz and 2 units/cores 
Now computing - please be patient....
time used: 17.366 seconds

Now checking if results are valid - please be patient....
:) Validate test passed - GPU results=CPU results :)

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macbook pro 2,26 13"

 

..........................................................
.................. OpenCL Bench V 0.25 by mitch ...........
...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......
... time results are not comparable to older version! .....
...........................................................

Number of OpenCL devices found: 2
OpenCL Device # 0 = GeForce 9400M
Device 0 is an: GPU with max. 1100 MHz and 16 units/cores 
Now computing - please be patient....
time used:  3.542 seconds

OpenCL Device # 1 = Intel(R) Core(TM)2 Duo CPU	 P7550  @ 2.26GHz
Device 1 is an: CPU with max. 2260 MHz and 2 units/cores 
Now computing - please be patient....
time used: 16.608 seconds

Now checking if results are valid - please be patient....
:) Validate test passed - GPU results=CPU results :)

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...........................................................

.................. OpenCL Bench V 0.25 by mitch ...........

...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......

... time results are not comparable to older version! .....

...........................................................

 

Number of OpenCL devices found: 2

OpenCL Device # 0 = GeForce 8600 GT

Device 0 is an: GPU with max. 1188 MHz and 32 units/cores

Now computing - please be patient....

time used: 2.087 seconds

 

OpenCL Device # 1 = Intel® Core2 CPU 6300 @ 1.86GHz

Device 1 is an: CPU with max. 1932 MHz and 2 units/cores

Now computing - please be patient....

time used: 19.798 seconds

 

Now checking if results are valid - please be patient....

;) Validate test passed - GPU results=CPU results :)

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Macbook Pro Late 2008 2.4Ghz

 

Last login: Sun Aug 30 17:27:12 on ttys000
Rheza-Pahlevis-MacBook-Pro:~ Rheza$ opencl
...........................................................
.................. OpenCL Bench V 0.25 by mitch ...........
...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......
... time results are not comparable to older version! .....
...........................................................

Number of OpenCL devices found: 3
OpenCL Device # 0 = GeForce 9600M GT
Device 0 is an: GPU with max. 1250 MHz and 32 units/cores 
Now computing - please be patient....
time used:  2.797 seconds

OpenCL Device # 1 = GeForce 9400M
Device 1 is an: GPU with max. 1100 MHz and 16 units/cores 
Now computing - please be patient....
time used:  9.028 seconds

OpenCL Device # 2 = Intel(R) Core(TM)2 Duo CPU	 P8600  @ 2.40GHz
Device 2 is an: CPU with max. 2400 MHz and 2 units/cores 
Now computing - please be patient....
time used: 15.164 seconds

Now checking if results are valid - please be patient....
:) Validate test passed - GPU results=CPU results :) 
Rheza-Pahlevis-MacBook-Pro:~ Rheza$

 

mitch_de, is it possible to run benchmark with all device work ?, ( device 0+ device 1 +device 2 )

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Hac Pro

 

...........................................................
.................. OpenCL Bench V 0.25 by mitch ...........
...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......
... time results are not comparable to older version! .....
...........................................................

Number of OpenCL devices found: 3
OpenCL Device # 0 = GeForce GTX 260
Device 0 is an: GPU with max. 1408 MHz and 216 units/cores 
Now computing - please be patient....
time used:  4.108 seconds

OpenCL Device # 1 = GeForce GTX 260
Device 1 is an: GPU with max. 1296 MHz and 192 units/cores 
Now computing - please be patient....
time used:  3.677 seconds

OpenCL Device # 2 = Intel(R) Core(TM) i7 CPU		 920  @ 2.67GHz
Device 2 is an: CPU with max. 3608 MHz and 8 units/cores 
Now computing - please be patient....
time used:  1.561 seconds

Now checking if results are valid - please be patient....
:) Validate test passed - GPU results=CPU results :) 
logout

[Process completed]

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...........................................................
.................. OpenCL Bench V 0.25 by mitch ...........
...... C2D 3GHz = 12 sec vs Nvidia 9600GT = 0,93 sec ......
... time results are not comparable to older version! .....
...........................................................

Number of OpenCL devices found: 2
OpenCL Device # 0 = Radeon HD 4870
Device 0 is an: GPU with max. 750 MHz and 4 units/cores 
Now computing - please be patient....
time used:  3.571 seconds

OpenCL Device # 1 = Intel(R) Xeon(R) CPU		   E5462  @ 2.80GHz
Device 1 is an: CPU with max. 2800 MHz and 8 units/cores 
Now computing - please be patient....
Segmentation fault

Does that mean I win? :) It's actually a 4890, not a 4870

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