The Outlook test simulates a project manager using email. The workload includes tasks such as creating emails, moving emails, searching for text within an email, saving attachments, making appointments, and backing up folders. This test is currently available on Windows PC. 

The Outlook data file is 154 MB in size. It has 128 emails in the Inbox and 8 emails in Sent Items. Some emails include attachments: 

  • 79 jpg images with sizes from 32 KB to 2.6 MB and a total size of 27.3 MB
  • Excel document that is 7.3 MB
  • PowerPoint document that is 4.4 MB
  • Word document that is 8.5 MB

The Outlook test does not use the network.

Office Productivity Outlook score

The Outlook test produces an Office Productivity Outlook score. A higher score indicates better performance. The scaling constant in the score formula is used to bring the score in line with the traditional range for UL benchmarks. 

[dop] tag - corresponds to  dbg_office_productivity

Outlook score = 4300 / geometric mean of 
 
OfficeProductivityOutlookMoveMails
OfficeProductivityOutlookNewAppointment 
OfficeProductivityOutlookSearchMails 
OfficeProductivityOutlookBackup
OfficeProductivityOutlookWriteMail
OfficeProductivityOutlookSaveAttachments

OfficeProductivityOutlookMoveMails

Measures moving 136 emails from imported datafile to empty profile. Repeated 7 times.

OfficeProductivityOutlookMoveMails result = geometric mean of 

[dop]_outlook_move_mails_1
[dop]_outlook_move_mails_2
[dop]_outlook_move_mails_3
[dop]_outlook_move_mails_4
[dop]_outlook_move_mails_5
[dop]_outlook_move_mails_6
[dop]_outlook_move_mails_7

where the maximum and minimum values are dropped from the calculation.

OfficeProductivityOutlookNewAppointment

Measures adding a new appointment with 3 attachments (Excel, PowerPoint and Word documents). Repeated 7 times. 

OfficeProductivityOutlookNewAppointment result = geometric mean of 

[dop]_outlook_new_appointment_1
[dop]_outlook_new_appointment_2
[dop]_outlook_new_appointment_3
[dop]_outlook_new_appointment_4
[dop]_outlook_new_appointment_5
[dop]_outlook_new_appointment_6
[dop]_outlook_new_appointment_7

where the maximum and minimum values are dropped from the calculation.

OfficeProductivityOutlookSearchMails

Measures searching string from emails. Repeated 7 times.

OfficeProductivityOutlookSearchMails result = geometric mean of 

[dop]_outlook_search_mails_1
[dop]_outlook_search_mails_2
[dop]_outlook_search_mails_3
[dop]_outlook_search_mails_4
[dop]_outlook_search_mails_5
[dop]_outlook_search_mails_6
[dop]_outlook_search_mails_7

where the maximum and minimum values are dropped from the calculation.

OfficeProductivityOutlookBackup

Measures data archiving. Copies 128 mails and results in a 150MB data file. Repeated 7 times. 

OfficeProductivityOutlookBackup result = geometric mean of 

[dop]_outlook_backup_1
[dop]_outlook_backup_2
[dop]_outlook_backup_3
[dop]_outlook_backup_4
[dop]_outlook_backup_5
[dop]_outlook_backup_6
[dop]_outlook_backup_7

where the maximum and minimum values are dropped from the calculation.

OfficeProductivityOutlookWriteMail

Measures creating an email with 3 attachments (Excel, PowerPoint and Word documents). Repeated 7 times. 

OfficeProductivityOutlookWriteMail result = geometric mean of 

[dop]_outlook_write_mail_1
[dop]_outlook_write_mail_2
[dop]_outlook_write_mail_3
[dop]_outlook_write_mail_4
[dop]_outlook_write_mail_5
[dop]_outlook_write_mail_6
[dop]_outlook_write_mail_7

where the maximum and minimum values are dropped from the calculation.

OfficeProductivityOutlookSaveAttachments

Measures saving attachments from all emails. Writes out 82 files with a total size of 45MB. Repeated 7 times. 

OfficeProductivityOutlookSaveAttachments result = geometric mean of 

[dop]_outlook_save_attachments_1
[dop]_outlook_save_attachments_2
[dop]_outlook_save_attachments_3
[dop]_outlook_save_attachments_4
[dop]_outlook_save_attachments_5
[dop]_outlook_save_attachments_6
[dop]_outlook_save_attachments_7

Measurements often contain variable number of high outliers. We eliminate them by applying k-means clustering to 3 clusters and dropping the highest cluster.