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XcodeBenchmark measures the compilation time of a large codebase on iMac, MacBook, and Mac Pro

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XcodeBenchmark contains a large codebase to measure the compilation time in Xcode.

You are probably familiar with the following question:

"Should I buy an i5, i7, or even i9 processor for iOS/macOS development?".

XcodeBenchmark is initially created for Max Tech YouTube channel to compare the performance of new iMacs 2020.

I believe the results will help developers to make the right cost/performance trade-off decision when choosing their next Mac.

Score

Device CPU RAM SSD HDD Xcode macOS Time(sec)
MacBook Pro 13" 2020 Apple M1 8-core 16 1TB 12.2 11.0 133
iMac 27" 2020 i9 3.6 GHz 10-core 64 512 11.6 10.15.6 217
iMac Pro 27" 2017 Xeon 3.0 GHz 10-core 64 1TB 11.7 10.15.6 222
iMac 27" 2020 i7 3.8 GHz 8-core 64 512 11.6 10.15.6 229
iMac 27" 2020 i7 3.8 GHz 8-core 32 512 11.6 10.15.6 229
MacBook Pro 16" 2019 i7 2.6 GHz 6-core 16 512 12.2 11.0.1 250
iMac 27" 2019 i9 3.6 GHz 8-core 64 2TB 11.6 10.15.6 252
iMac Pro 27" 2017 Xeon 3.2 GHz 8-core 32 1TB 11.6 10.15.6 263
Mac Mini 2018 i7 3.2 GHz 6-core 16 512 11.7 10.15.5 300
Ryzentosh R5 3600 3.6 Ghz 6-core 16 1TB 11.7 10.15.6 312
MacBook Pro 16" 2019 i9 2.3 GHz 8-core 32 2TB 11.6 10.15.6 328
MacBook Pro 16" 2019 i7 2.6 GHz 6-core 16 512 11.6 10.15.6 353
Mac Mini 2018 i5-8500B 3.0 GHz 6-core 8 512 11.7 10.15.6 383
Hackintosh i5-8400 2.8 Ghz 6-core 32 512 11.6 10.15.6 409
iMac 27" 2017 i7 4.2 GHz 4-core 48 2TB 11.7 10.15.6 411
iMac 21.5" 2017 i7-7700 3.6 GHz 4-core 16 1TB 11.7 10.16.6 419
MacBook Pro 15" 2018 i7 2.6 GHz 6-core 16 512 11.6 10.15.6 440
Mac Pro 2013 E5-1650 v2 3.5 GHz 6-core 32 1TB 11.7 10.15.6 518
MacBook Pro 15" 2017 i7 2.9 GHz 4-core 16 512 11.6 10.15.6 583
MacBook Pro 15" 2015 i7 2.2 GHz 4-core 16 265 11.7 10.15.6 594
MacBook Pro 15" 2016 i7 2.7 GHz 4-core 16 1TB 11.7 10.15.6 642
Mac Mini 2014 i5 2.6 GHz 2-core 8 1TB 11.7 10.15.6 1193

Set up

  • Download and install Xcode.
  • Open Xcode and install additional tools (Xcode should suggest it automatically).
  • Download and unarchive XcodeBenchmark project.

Before each test

  1. Disconnect the network cable and turn off WiFi.
  2. Make sure to disable all software running at startup
    • Go to System Preferences -> Users and Groups -> User -> Login Items.
    • Empty the list.
  3. Update Energy Saver settings
    • Go to System Preferences -> Energy Saver -> Turn display off and set 15 min.
  4. Reboot and cool down your Mac.
  5. Connect to the power adapter if you use MacBook.

Running a test

  1. Open the Terminal app.
  2. Write cd and drag & drop XcodeBenchmark folder to the Terminal app to form cd path/to/xcode-benchmark.
  3. Run sh benchmark.sh in Terminal.
  4. When XcodeBenchmark has completed you will see this information.
  5. Upload your results, see Contribution section.

FAQ

Q: What's inside?

A framework that includes 42 popular CocoaPods libraries and 70+ dependencies in total.

Language files blank comment code
C/C++ Header 2785 58618 143659 215644
C++ 750 24771 30788 182663
Objective C 882 27797 23183 148244
Swift 1122 21821 35225 113945
C 390 15064 23319 84119
Objective C++ 69 2980 2026 15561
Markdown 61 4865 1 15131
XML 144 1022 10 13047
Bourne Shell 3 244 209 1321
JSON 22 1 0 1114
Pascal 2 87 185 180
YAML 1 0 0 5
SUM: 6231 157270 258605 790974

Q: What do the results mean?

  1. First of all, the project is huge. Most projects are of a much smaller size.
  2. The results show relative performance in Xcode, compared to other Macs running under similar conditions.

Q: Why is CocoaPods not excluded from git-repo?

  • The project is also used by non-programmers. Let's keep it simple.

Contribution

Make sure:

  • All steps are performed
  • Time column is still sorted after insertion.
  • You are added to the end of the Contributors list.
  • Attach a screenshot with a compilation time. Example.
  • The content in cells is centered. You can use this tool to edit a table.
    • File -> Paste table data
    • Select all cells -> Right click -> Text align -> Center

Contributors

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XcodeBenchmark measures the compilation time of a large codebase on iMac, MacBook, and Mac Pro

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