Apple MacBook Pro 13" i7 2.5 (2017) in Cinebench R23

Here we show you how fast the Apple MacBook Pro 13" i7 2.5 (2017) is in the benchmark Cinebench R23. You can use the benchmark result to decide whether the product is suitable for your applications.

The Apple MacBook Pro 13" i7 2.5 (2017) uses the Intel Core i7-7660U processor with 2 cores and has 8 - 16 GB LPDDR3 memory.

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Processor

Name: Intel Core i7-7660U
Manufacturer: Intel
Cores / Threads: 2 / 4
Frequency: 2.50 (4.00) GHz

Memory

Memory Size: 8 - 16 GB
Memory Type: LPDDR3 2133
Memory Bandwith: --

Benchmark results

Cinebench R23 - Single Core

Cinebench R23 is the latest version of Maxon's render benchmark. It is based on the Cinema 4D application, which is used to generate 3D shapes. We use the single-core as well as the multi-core test.

View all Cinebench R23 benchmark results



Cinebench R23 - Multi Core

Cinebench R23 is the latest version of Maxon's render benchmark. It is based on the Cinema 4D application, which is used to generate 3D shapes. We use the single-core as well as the multi-core test.

Apple iMac 21.5" i5 2.5 (Mid 2011)
4 - 16 GB DDR3
1,965
Amazon
Apple iMac 21.5" i5 2.3 (2017)
8 - 16 GB DDR4
1,866
Amazon
Apple MacBook Pro 13" i5 2.3 (2017)
8 - 16 GB LPDDR3
1,866
Amazon
Apple MacBook Pro 13" i5 2.9 (Early 2015)
8 - 16 GB LPDDR3
1,827
Amazon
Apple MacBook Pro 13" i7 2.5 (2017)
8 - 16 GB LPDDR3
1,759
Amazon
Apple MacBook Air 13" i3 1.1 (2020)
8 - 16 GB LPDDR4X
1,701
Amazon
Apple MacBook Pro 13" i5 2.6 (Mid 2014)
8 - 16 GB DDR3L
1,688
Amazon
Apple Mac mini i5 2.6 (Late 2014)
8 - 16 GB LPDDR3
1,688
Amazon
Apple iMac 21.5" i5 1.6 (Late 2015)
8 - 16 GB LPDDR3
1,537
Amazon
View all Cinebench R23 benchmark results



More benchmarks for
Apple MacBook Pro 13" i7 2.5 (2017)

In order to determine the performance of a computer or a component in it, so-called "benchmarks" are carried out. The benchmark software carries out special calculations and measures the time it takes for the computer to complete the calculations. Since the benchmarks always run the same, the performance of several computers can be reliably compared with one another.

For this we use so-called theoretical or synthetic benchmarks such as Geekbench or Cinebench, as these support both x86 and ARM instruction sets in the current versions. We guarantee real comparability of the results by ensuring that the benchmarks are executed identically and correctly as well as by the condition of the system.

We currently use the following benchmarks to assess the performance of the products listed on our website:

Apple Devices



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