IBM Power Systems performance benchmarks

Including performance benchmarks for Power servers, System p, and System i

IBM Power™ Systems leverage cloud to speed time to market and improve efficiency, unlock the power of big data to deliver more actionable insight, and secure critical information to protect and reduce risk – all while offering outstanding performance. In fact, IBM Power Systems took the lead in over 100 key computing performance benchmarks. But don't take our word for it. Read the results below.

Three-tier SAP® Sales and Distribution (SD) Standard Application Benchmark

Evaluates the performance of multiple application servers and a database for a Sales and Distribution (SD) environment using the standard application benchmark provided by SAP AG.

Source: http://www.sap.com/benchmark (link resides outside of ibm.com)


Two-tier SAP Sales and Distribution (SD) Standard Application Benchmark

Evaluates the performance of a single server running both the application servers and the database server for a Sales and Distribution (SD) environment using the standard application benchmark provided by SAP AG.

Source: http://www.sap.com/benchmark (link resides outside of ibm.com)


SAP BI Mixed Load (BI-MXL) Benchmark

The mixed load scenario is one use of the Business Intelligence capabilities of SAP NetWeaver. In this scenario, query activity and load/update activity are executed in parallel. Multiple users run queries on data in 10 SD InfoCubes. The key figure of this benchmark is the number of query navigation steps/hour.

Source: http://www.sap.com/benchmark (link resides outside of ibm.com)


SAP BI Data Mart Benchmark

The data mart scenario is one use of the Business Intelligence capabilities of SAP NetWeaver. The data mart contains a static snapshot of operational data. Multiple users run queries on this data in 10 InfoCubes which contain 2,500,000,000 records. The key figure is the number of query navigation steps/hour.

Source: http://www.sap.com/benchmark (link resides outside of ibm.com)


Oracle Applications Standard Online Benchmark v11.5.9

An ERP application that represents a mixed workload intended to model the most common transactions operating on the seven most widely used enterprise application modules (AP, AR, GL, FA, SCM, PO, OE, and Inventory). The 11.5.9 benchmark introduces "self-service" transactions in Expense, Procurement, HR and Time.

Source: http://www.oracle.com/us/solutions/performance-scalability/index.html (link resides outside of ibm.com)


Oracle Applications Standard Online Benchmark v11.5.10

An ERP application that represents a mixed workload intended to model the most common transactions operating on the seven most widely used enterprise application modules (AP, AR, GL, FA, SCM, PO, OE, and Inventory). The modules used by the E-Business 11.5.10 benchmark are: Oracle Financials: Accounts Payable, Accounts Receivable, Fixed Assets, General Ledger; Human Resource Management System; Sales and Marketing; Customer Support: Service; Supply Chain Management (SCM): Logistics, Order Management, Purchasing, Shipping; Self-Service Applications: Employee Self-Service, iExpenses, iProcurement, Oracle Time & Labor.

Source: http://www.oracle.com/us/solutions/performance-scalability/index.html (link resides outside of ibm.com)


Oracle Applications Standard Batch Benchmark v11.5.9

The Release 11i Order Management HVOP benchmark represents a core component of the order to cash business flow demonstrating the overall order processing throughput focused exclusively on meeting the high order volumes originating from the new electronic channels, such as consumer and business web sites, B2B exchanges, and EDI.

Source: http://www.oracle.com/us/solutions/performance-scalability/index.html (link resides outside of ibm.com)


Oracle R12 E-Business Standard Benchmark

The Oracle R12 E-Business Standard Benchmark follows the E-Business 11i (11.5.10) benchmark model by combining Online transaction execution by simulated users with concurrent Batch processing to model a "Day-in-the-Life" scenario for a global enterprise.

Source: http://www.oracle.com/us/solutions/performance-scalability/index.html (link resides outside of ibm.com)

Contact IBM

Browse Power Systems

Next generation applications for big data and analytics and cognitive computing are providing unprecedented insights into opportunities, threats and efficiencies. IBM Power Systems is at the forefront of delivering solutions to gain faster insights from analyzing both structured information and unstructured big data. With the secure, flexible and open platform of IBM Power Systems plus solutions and software, organizations can outpace their competitors by delivering faster services, providing differentiated offerings and turning operational cost into investment opportunity.

IBM Power Systems hardware is at the heart of enabling major business and industry transformations fueled by the explosive growth of big data and analytics. Power Systems help organizations drive faster business insights with industry leading performance, scalability and virtualization flexibility.

IBM Power Systems deliver flexibility and choice of operating systems to enable your business to support the next generation applications for big data and analytics and cognitive computing that are transforming how organizations work today. Whether running 1, 2, or all 3 - coupled with PowerVM, they maximize the benefit of Power Systems in your business.

IBM's integrated approach to developing Systems and Systems Software stacks together delivers a platform that supports next generation applications for big data and analytics and cognitive computing on an open platform for choice while providing maximum utilization, availability, and flexibility to help you deliver new advantages to your business.

IBM and IBM Business Partner solutions exploit key benefits in IBM Power Systems’ unique design combined with systems software to provide support for next generation applications for big data and analytics and cognitive computing to providing unprecedented insights into opportunities, threats and efficiencies to your organization.


Over the last five years thousands of clients have migrated to IBM Power Systems. Learn how Power Systems has helped them support next generation applications for big data and analytics and cognitive computing on an open platform for choice while improving business performance, reducing risk, and establishing a platform for growth.