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GIGABYTE MD60-SC0 (Intel C612) Server Motherboard Review

By: William Harmon | Motherboards in IT/Datacenter | Posted: Feb 11, 2015 3:15 pm
TweakTown Rating: 95%Manufacturer: GIGABYTE



AIDA64 memory bandwidth benchmarks (Memory Read, Memory Write, and Memory Copy) measure the maximum achievable memory data transfer bandwidth.




Memory bandwidth for the MD60-SC0 is doing very good with memory writes, but slightly slower in reads and copy instructions.





Intel Optimized LINPACK Benchmark is a generalization of the LINPACK 1000 benchmark. It solves a dense (real*8) system of linear equations (Ax=b), measures the amount of time it takes to factor and solve the system, converts that time into a performance rate, and tests the results for accuracy.


LINPACK is a measure of a computer's floating-point rate of execution ability and measured in GFLOPS (Floating-point Operations per Second); ten-billion FLOPS = ten GFLOPS. LINPACK is a very heavy compute application that can take advantage of the new AVX2 instruction. As it puts a very high load on the system, it is also a good stress test program.




In LINPACK, the MD60-SC0 motherboard is showing strong bandwidth compared to other motherboards. This is an important benchmark, and the MD60-SC0 has very good bandwidth numbers.


Even small increases in scores show a big improvement in performance. Certain parts of this test rely on storage, so using setups with SSDs and RAID 0 would increase those scores.



Geekbench - Stream


Geekbench 3 is Primate Labs' cross-platform processor benchmark, with a new scoring system that separates single-core and multi-core performance, and new workloads that simulate real-world scenarios. It also includes STREAM based memory tests which we will include on our reviews.




Here we are looking at the single-core STREAM memory tests. Bandwidth is showing below average results.




Now we are looking at multi-core STREAM tests. The MD60-SC0 is showing strong memory bandwidth results in this test. This points to the MD60-SC0 strength at multi-threaded applications feeding data to large storage arrays.

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