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SAP Standard Application Benchmarks

Benchmark Procedure APO Cloud Concurrent CRM ERP Industries Netweaver Power Archive
Benchmark Procedure APO Cloud Concurrent CRM ERP Industries Netweaver Power Archive

SAP Standard Application Benchmarks

SAP Standard Application Benchmarks help customers and partners find the appropriate hardware configuration for their IT solutions. Working in concert, SAP and our hardware partners developed the SAP Standard Application Benchmarks to test the hardware and database performance of SAP applications and components.

Overview
Procedure
Benefits
Measuring in SAPS
Sizing
Performance

Assemble to Order

The Assemble-to-Order (ATO) Benchmark integrates process chains across SAP Business Suite components. 

The ATO scenario is characterized by high volume sales, short production times (from hours to one day), and individual assembly for such products as PCs, pumps, and cars. In general, each benchmark user has its own master data, such as material, vendor, or customer master data to avoid data locking situations. However, the ATO Benchmark has been designed to handle and overcome data locking situations – the ATO benchmark users access common master data, such as material, vendor, or customer master data.

Technical Components

Financials CO-OM, CO-PC, FI-GL
Logistics MM-IM, LE-WM, LO-VC, CS, SD-BIL, SD-SHP, SD-SLS, PP-BD, PP-ATO
Basis BC-BMT, BC-SRV
Human resources PD-OM
Cross application CA-CL

Published results of the ATO Benchmark contain throughput numbers; for example 2,500 assembly orders per hour. An assembly order is a request to assemble pre-manufactured parts and assemblies to finished products based to an existing sales order.

Dialog Steps
  • 0. Logon
  • 1. Main screen
  • 2. Call /nVA01 (create customer order)
  • 3. Enter order and organizational data
  • 4. Enter customer and material
  • 5. First level characteristic value assignment
  • 6. Second level characteristic value assignment
  • 7. Second level characteristic value assignment
  • 8. Choose Back (Control of resulting price)
  • 9. Choose Save (Create assembly order)
  • 10. Call /nMFBF (Repetitive Manufacturing backflush)
  • 11. Enter sales order data
  • 12. Choose Save
  • 13. Call /nVL01N (Create outbound delivery)
  • 14. Select sales order
  • 15. Choose Save
  • 16. Call /nLT03 (create transfer order)
  • 17. Save transfer order
  • 18. Call /nLT12 (confirm transfer order)
  • 19. Confirm transfer
  • 20. Call /nSO01 (SAP office - inbox)
  • 21. Select workflow-item
  • 22. Start goods issue via workflow
  • 23. Call /nVF01 (create invoice)
  • 24. Choose Save invoice
  • 25. Call /nend
  • 26. Confirm log off

User interaction steps 2 - 24 are repeated n times (23 user interaction steps --> min. 230 sec. duration).

Business aspect:
One run corresponds to the full assemble-to-order scenario for one item.

SAP ATO Standard Application Benchmark Results, Two-Tier Internet Configuration, R/3 Releases 4.0 - 4.6

Date of Certification
(mm/dd/yyyy)		 Technology Partner Fully Processed Assembly Orders Per Hour Operating System  Release RDBMS Release R/3 Release Central Server Central server memory (MB) Certification Number
09/02/2011 Oracle 206360 Solaris 10 Oracle 11g SAP enhancement package 4 for SAP ERP 6.0 SPARC Enterprise Server M9000, 64 processors / 256 cores / 512 threads, SPARC64 VII+, 3.00 GHz, 64 KB (D) + 64 KB (I) L1 cache per core, 12 MB L2 cache per processor, 2097152 2011033
09/02/2011 Fujitsu 206360 Solaris 10 Oracle 11g SAP enhancement package 4 for SAP ERP 6.0 SPARC Enterprise Server M9000, 64 processors / 256 cores / 512 threads, SPARC64 VII+, 3.00 GHz, 64 KB (D) + 64 KB (I) L1 cache per core, 12 MB L2 cache per processor, 2097152 2011033
03/11/2003 Fujitsu Siemens Computers 12170 Solaris 8 Oracle 9i 4.6C Fujitsu Siemens Computers PRIMEPOWER 900, 16-way SMP, SPARC64TM V, 1.35 GHz, 256 KB L1 cache, 2 MB L2 cache 65536 2003012
03/11/2003 Fujitsu Siemens Computers 6220 Solaris 8 Oracle 9i 4.6C Fujitsu Siemens Computers PRIMEPOWER 900, 8-way SMP, SPARC64TM V, 1.35 GHz, 256 KB L1 cache, 2 MB L2 cache 32768 2003011
12/13/2002 HP 3090 HP-UX 11i Oracle 9i 4.6C hp rx5670, 4-way SMP, Itanium II, 1 GHz, 3 MB L3 cache 24576 2002069
03/22/2002 HP 3740 HP-UX 11i Oracle 9i 4.6C HP Server Model RP7410, 8-processors SMP, PA-RISC 8700 750 MHz, 2.25 MB L1 cache 16384 2002016
09/17/2001 HP 7000 HP-UX 11i Oracle 8.1.7 4.6C HP RP8400, 16-way PA-RISC 8700 750 MHz, 2.25 MB cache 32768 2001034
05/29/2001 Fujitsu Siemens 34260 Solaris 8 Oracle 8.1.7 4.6B Fujitsu Siemens Primepower 2000, 128-processors SMP, Sparc64 560 MHz, 8 MB L2 cache 131072 2001018
04/12/2001 HP 18870 HP-UX 11.11 Oracle 8.1.6 4.6B HP9000 Superdome Enterprise Server, 64-way SMP, PA-RISC 8600, 552 MHz 131072 2001014
02/05/2001 HP 1610 Windows 2000 SQL Server 2000 4.6B HP NetServer LXr8500, 8-way SMP, Pentium III Xeon 700 MHz, 2 MB L2 cache 8192 2001003
12/11/2000 HP 16480 HP-UX 11.11 Oracle 8.1.6 4.6B HP9000 Superdome Enterprise Server, 64-way SMP, PA-RISC 8600, 552 MHz 131072 2000030
11/10/2000 Bull 8570 AIX 4.3.3 DB2 UDB 7.1 4.6B Bull Escala Model EPC 2450, 24-way SMP, RS64-IV 600 MHz, 16 MB L2 cache 32768 2000027
11/10/2000 Bull 6300 AIX 4.3.3 DB2 UDB 7.1 4.6B Bull Escala Model EPC 2400, 24-way SMP, RS64-III 450 MHz, 8 MB L2 cache 32768 2000026
10/13/2000 IBM 8570 AIX 4.3.3 DB2 UDB 7.1 4.6B IBM eServer pSeries 680, 24-way SMP, RS64-IV 600 MHz, 16 MB L2 cache 32768 2000025
10/13/2000 IBM 6300 AIX 4.3.3 DB2 UDB 7.1 4.6B IBM RS/6000 Enterprise Server S80, 24-way SMP, RS64-III 450 MHz, 8 MB L2 cache 32768 2000024
03/31/2000 IBM 7700 AIX 4.3.3 DB2 UDB 6.1 4.0B IBM RS/6000 Enterprise Server S80, 24-way SMP, RS64-III 450 MHz, 8 MB L2 cache 32768 2000008
09/13/1999 Compaq 2610 Tru64 Unix 4.0 F Oracle 8.0.4 4.0B AlphaServer GS 140, 8 way SMP, Alpha 21264A EV67 700 MHz, 8 MB L2 cache 16384 1999028
09/10/1999 HP 2260 HP-UX 11.0 Informix 7.30 FC7 4.0B HP9000 N4000, 8-way SMP, PA-8500 440 MHz, 1.5 MB L1 cache 16384 1999026
06/14/1999 IBM 2390 QS/400 V4R4 DB2 UDB for AS/400 V4R4 4.0B IBM AS/400e Model S40-2208 12-way SMP, Power PC 262 MHz, 8 MB L2 cache 6144 1999013
03/12/1999 Sun 2020 Sun Solaris 2.6 Informix 7.30 UC7 4.0B Sun 6000, Model E 6000, 24 way SMP, UltraSparc II 250 MHz, 1MB L2 cache 16384 1999006
12/18/1998 Compaq 780 Digital Unix 4.0 D Oracle 8.0.4 4.0B Compaq Alpha Server 4100 5/600, 4 way SMP, 600 MHz, 4MB L2 cache 8192 1998040

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SAP ATO Standard Application Benchmark Results, Three-Tier Internet Configuration, R/3 Releases 4.0 - 4.6

Date of Certification
(mm/dd/yyyy)		 Technology Partner Fully Processed Assembly Orders Per Hour Operating
System Release		 RDBMS Release R/3 Release Database Server Database server memory (MB) Number & Type of Application Servers Certification Number
01/17/2002 HP 144090 HP-UX 11i Oracle 9i 4.6C HP 9000 Superdome Enterprise Server, 64-way PA-RISC 8700, 750 MHz, 2.25 MB L1 cache 131072 (total 79), 78 x HP RP7400, 8-way PA-RISC 8600, 550 MHz, 1.5 MB L1 cache 2002003
12/04/2001 HP 130570 HP-UX 11i Oracle 9i 4.6C HP 9000 Superdome Enterprise Server, 64-way PA-RISC 8700 750 MHz, 2.25 MB L1 cache 131072 (total 71), 70 x HP RP7400, 8-way PA-RISC 8600, 550 MHz, 1.5 MB L1 cache 2001047
09/01/2000 Bull 54170 AIX 4.3.3 DB2 V7.1 4.6B Bull Escala Model EPC2400, 24-way RS64-III 450 MHz, 8 MB L2 cache 32768 (total 11), 10 x Escala Model EPC2400, 24-way RS64-III, 450 MHz 2000020
08/23/2000 IBM 54220 AIX 4.3.3 DB2 V7.1 4.6B IBM RS/6000 Enterprise Server Model S80, 24-way RS64-III 450 MHz, 8 MB L2 cache 32768 (total 11), 10 x IBM RS/6000 Enterprise Server Model S80, 24-way RS64-III, 450 MHz 2000019
06/13/2000 HP 22610 HP-UX 11.0 Oracle 8i Rel. 2 4.6B HP 9000 V2600, 16-way PA-RISC 8600 550 MHz, 1 MB L2 cache 8192 (total 18), 17 x HP9000 N4000, 8-way PA-RISC 8500 440 MHz 2000013
04/26/1999 HP 9130 Windows NT 4.0 Oracle 8.0.5 4.0B HP Netserver LXr 8000, 4-way Pentium III Xeon 500 MHz, 2 MB L2 cache 2048 13 x Netserver LXr 8000, 4-way Pent III Xeon 500 MHz 1999011

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Cross Application Time Sheet (CATS)

The Cross Application Time Sheet (CATS) can be used by employees or personal administrators to track employee working times. Time data is recorded with information referring to orders and cost centers, for example, and can be transferred to corresponding applications and components of the SAP Business Suite.

Dialog Steps
  • 0. Logon
  • 1. Call transaction CAC2
  • 2. Sort employees
  • 3. Choose four employees (scroll down once)
  • 4. Choose Create time data
  • 5. Enter time data and choose Return
  • 6. Choose Save
  • 7. Choose Sort
  • 8. Select another employee
  • 9. Call help requests for cost center
  • 10. Select cost center
  • 11. Call help request for internal order
  • 12. Select internal order
  • 13. Enter new time data and choose Return
  • 14. Choose Save
  • 15. Choose Sort
  • 16. Select five employees
  • 17. Change data
  • 18. Choose Last page
  • 19. Select last line
  • 20. Select all
  • 21. Choose Delete
  • 22. Choose Save
  • 23. Log off

Business aspect:
One run corresponds to the processing of 80 activity reports for 5 employees

Financial Accounting (FI)

The following table provides an overview of the business process the Financial Accounting (FI) Benchmark simulates.

In this scenario, four financial documents with three line items are posted, with the line items in the fourth posting displayed. Following that, 44 open items of one debtor, including the previously posted documents, are displayed, and four are balanced. At the end of each run there are exactly 40 open items for each debtor, which serve as the basis for a new run.

Dialog Steps
  • 0. Logon
  • 1. Main screen
  • 2. Call Post Document
  • 3. Create customer item
  • 4. Create general ledger account item
  • 5. Choose Post
  • 6. Call Display document
  • 7. Enter previous posted document
  • 8. Double-click first line
  • 9. Call Customer line item display
  • 10. Enter data and choose Execute
  • 11. Select first line
  • 12. Call Post incoming payments
  • 13. Enter header data
  • 14. Choose Process open items
  • 15. Select item 5 of the list
  • 16. Scroll down to the end
  • 17. Select last item
  • 18. Deactivate all selected items
  • 19. Choose Post
  • 20. Call /nend
  • 21. Confirm log off

Human Resources - Payroll (HR)

In contrast to online benchmarks, the Human Resources - Payroll (HR) Benchmark is a report with variants that is run as a batch job on the basis of events. The report, called RPCALCD0, exercises the German payroll program.

Procedure
While the procedure for this report is complex, the following features can provide insight into its underlying business processes. Starting with the personal number and the payroll period, the report runs through these transactions in the German payroll program:
  • Basic data
  • Last payroll results
  • Capital formation
  • Company pension plan
  • Net payments/deductions and transfers
  • Final processing

The benchmark run has the following procedure:

  1. . Two users log on to the system.
  1. . The first user resets the data.
  1. . When the high-load phase of the run has come to an end (when the first batch process has come to an end), the first user logs off.
  1. . The second user waits until all processes have finished and then triggers the evaluation before logging off.

Material Management (MM)

The Materials Management (MM) Benchmark takes you through a series of steps to create a purchase requisition for five materials (transaction ME51N), a purchase order for the five materials (ME21N), a goods receipt (MIGO), and an invoice (MIRO) for the purchase order.

Dialog Steps
  • 0. Logon
  • 1. Main screen
  • 2. Call /nME51N (Create purchase requisition)
  • 3. Enter data
  • 4. Choose Post
  • 5. Call /nME21N (Create purchase order)
  • 6. Enter data
  • 7. Choose Post
  • 8. Call /nMIGO (Goods receipt purchase order)
  • 9. Enter data
  • 10. Choose Execute
  • 11. Choose Post
  • 12. Call /nMIRO (Create invoice), enter company code
  • 13. Enter basic data
  • 14. Choose Payment
  • 15. Enter data
  • 16. Choose Post
  • 17. Call /nend
  • 18. Confirm log off

SAP MM Standard Application Benchmark Results, Two-Tier Internet Configuration, R/3 Release 2.2

Date of Certification (mm/yyyy) Technology Partner Number of Benchmark Users Benchmark Type Average Dialog Response Time (sec) Operating System - Release RDBMS Release R/3 Release Central Server Central Server Memory (MB)
03/1995 Digital 360 MM 0.65 OSF/1 3.2 Oracle 7.1.4 2.2 C DEC 8400 TurboLaser, 8-way SMP 8,192

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Production Planning (PP)

The Production Planning (PP) Benchmark consists of the following transactions:

  • Create a production order. (CO01)
  • Change the amount on the production order, release order for production, and print order. (CO02)
  • Create two completion confirmations for the production order (milestone confirmation with back flush and final confirmation). (CO11N)
  • Post goods receipt for the order. (MB31)
  • Settle the production order. (CO02)

Dialog Steps
  • 0. Logon
  • 1. Main screen
  • 2. Call Create production order
  • 3. Enter general data
  • 4. Enter data
  • 5. Choose Save
  • 6. Call Change production order
  • 7. Enter order number, choose Return
  • 8. Change data
  • 9. Select order
  • 10. Choose Functions
  • 11. Choose Release
  • 12. Choose Order
  • 13. Choose Print
  • 14. Choose OK
  • 15. Choose Save
  • 16. Call Create completion confirmation
  • 17. Enter data
  • 18. Choose Save
  • 19. Call Create completion confirmation
  • 20. Enter data
  • 21. Choose Save
  • 22. Call Create goods receipt
  • 23. Enter data
  • 24. Copy data
  • 25. Choose Save
  • 26. Call Change production order
  • 27. Choose Environment
  • 28. Choose Individual processing
  • 29. Enter data and choose execute
  • 30. Call /nend
  • 31. Confirm log off

SAP PP Standard Application Benchmark Results, Two-Tier Internet Configuration, R/3 Release 2.2

Date of Certification (mm/yyyy) Technology Partner Number of Benchmark Users Benchmark Type Average Dialog Response Time (sec) Operating System - Release RDBMS Release R/3 Release Central Server Central Server Memory (MB)
03/1995 Digital 180 PP 2.00 OSF/1 3.2 Oracle 7.1.4 2.2 C DEC 8400 TurboLaser, 8-way SMP 8,192

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Sales & Distribution (SD & SD-Parallel)

The Sales and Distribution (SD) Benchmark covers a sell-from-stock scenario, which includes the creation of a customer order with five line items and the corresponding delivery with subsequent goods movement and invoicing. 

It consists of the following transactions:

  • Create an order with five line items. (VA01)
  • Create a delivery for this order. (VL01N)
  • Display the customer order. (VA03)
  • Change the delivery (VL02N) and post goods issue.
  • List 40 orders for one sold-to party. (VA05)
  • Create an invoice. (VF01)

Each benchmark user has his or her own master data, such as material, vendor, or customer master data to avoid data-locking situations.

Important note: On January 1, 2009, the SAP SD Benchmark was updated. Alongside the upgrade to SAP Business Suite 7 and the SAP enhancement package 4 for SAP ERP 6.0, a number of additional, necessary updates were implemented. Business changes constantly, for example, Unicode and the use of the new general ledger are now common practice for SAP customers across all industries, and the SAP standard application benchmarks need to reflect this change. The updates are transparent; that is, the steps of the benchmark scenario remain unchanged. Please be aware that these changes make the SD benchmark more resource-intensive, which has a direct impact on the benchmark results.

SD Versus SD-Parallel

The SD-Parallel Benchmark consists of the same transactions and user interaction steps as the SD Benchmark. This means that the SD-Parallel Benchmark runs the same business processes as the SD Benchmark. The difference between the benchmarks is the technical data distribution.

An Additional Rule for Parallel and Distributed Databases

It is generally accepted that data distribution can significantly influence the benchmark result in a parallel environment. Therefore, in May 1996, the SAP Benchmark Council redefined data distribution to establish a means to reproduce and compare results within parallel benchmarks. The additional rule is: Equally distribute the benchmark users across all database nodes for the used benchmark clients (round-robin-method).

How to Appraise the Benchmark Results

Parallel benchmarks depend on the additional parameter "data distribution," which, by definition, does not exist in single database benchmarks. All tests show that the scalability of parallel databases significantly depends on the data distribution. When you compare SD Benchmark with SD-Parallel Benchmark results, you have to remember this difference.

Dialog Steps
  • 0. Logon
  • 1. Main screen
  • 2. Call /nVA01 (Create customer order)
  • 3. First screen
  • 4. Second screen (with five items)
  • 5. Choose Save
  • 6. Call /nVL01N (Create a delivery)
  • 7. First screen
  • 8. Choose Save
  • 9. Call /nVA03 (Display customer order)
  • 10. Choose Enter
  • 11. Call /nVL02n (Change delivery)
  • 12. Choose [F20] (Posts goods issue)
  • 13. Call /nVA05 (List orders)
  • 14. Choose Enter
  • 15. Call /nVF01 (Create invoice)
  • 16. Choose Save
  • 17. Call /nend
  • 18. Confirm log off

User interaction steps 2 - 16 are repeated n times (15 user interaction steps --> min. 150 sec. duration).

Business aspect:
One run (user interaction steps 2 - 16) corresponds to the selling of five items.

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