Sun Blade X6270 M2 is the Fastest 12-Core System on Enterprise Java Benchmark

BENCHMARK SUMMARY

(As of Tuesday, 15 February 2011)

Oracle’s Sun Blade X6270 M2 server module,  paired with one of the most stable Java implementations on the market and equipped with two Intel Xeon X5690 processors, delivered a result of 975,257 SPECjbb2005 business operations per second (bops), surpassing all other systems with up to 12 cores.

With this result, the Sun Blade X6270 M2 server module, part of Oracle’s Sun Fire x86 clustered systems portfolio, demonstrated the ultimate capability for the deployment of secure, Java-based enterprise applications.

BENCHMARK DESCRIPTION

The SPECjbb2005 benchmark emulates the design of real-world, server-side Java applications and provides an accurate reflection of the business logic and objects, while stressing the implementation of the Java Virtual Machine (JVM) and the scalability of the system's processors and memory.

BENCHMARK OUTCOME

  • The Sun Blade  X6270 M2 server module running Java HotSpot 1.6.0_25 Virtual Machine (VM) on top of Windows Server 2008 achieved the score of 975,257 SPECjbb2005 bops and 487,629 SPECjbb2005 bops/JVM.
  • The Sun Blade X6270 M2 server module beat the result 915,323 SPECjbb2005 bops and 152,554 SPECjbb2005 bops/JVM posted by of IBM BladeCenter HS22V blade server.
  • The Sun Blade X6270 M2 delivered 3x better performance per JVM than Cisco’s UCS B200 M2 blade system result of 931,076 SPECjbb2005 bops and 155,179 SPECjbb2005 bops/JVM.
  • As evident from the above comparisons, the Java HotSpot 1.6.0_25 VM outscores IBM's J9 JVM running on competing blade systems. Moreover, since IBM's J9 JVM delivers less performance per instance when compared to Java HotSpot JVM, users will be forced to deploy over 3x more JVM instances to achieve the same level of performance.
  • Undisputed leader across all systems based on Intel Xeon processor 5600 series CPUs, the versatile Sun Blade X6270 M2 server module sets a new standard for blade server system performance, allowing customers to deploy fewer Java virtual machines with higher levels of efficiency and manageability than previously possible, helping to reduce data center complexity and operational expenses.

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