Apple MacBook Pro 13" i7 3.5 Touch (2017)
Technical data and benchmarks

Apple MacBook Pro 13

Device
Colours: Silver, Space Grey
Price from: 2,099 $ / 2,359 €
Release date: Q2/2017

Processor
Name: Intel Core i7-7567U
Manufacturer: Intel
Cores / Threads: 2 / 4
Frequency: 3.50 (4.00) GHz
Structure: 14 nm
Architecture: Kaby Lake U
Release date: Q4/2016

Memory
Memory Size: 8 - 16 GB
Memory Type: LPDDR3 2133
Memory Bandwith: --
Upgradeable? No

Graphic card
Name: Intel Iris Plus Graphics 650
Type: Internal
Frequency: 0.30 (1.10) GHz
Memory Size: 1.50 GB
Memory Type: LPDDR3
Structure: 14 nm
Release date: Q2/2016

Screen
Size: 13.3 inch
Resolution: 2560 x 1600 @ 60 Hz (227 ppi)
Ratio: 16:10
Technology: IPS
Max. Brightness: 500 nits
HDR support: No
Always On Display: No
1. external display: 5120 x 2880 @ 60 Hz
2. external display: --
3. external display: --

Storage
Size: 256 - 1,024 GB
Type: SSD
Interface: PCIe
Upgradeable? No
2. drive: --
Card reader: --

Battery
Type: Lithium-Polymer
Capacity: 49.20 Wh
Battery life: 10.00 h
Charging: USB-C @ 61 W

Network
Wireless LAN: 802.11ac
LAN: --
Bluetooth: Bluetooth 4.2
Cellular: --

Camera
Front camera: 0.9 MP, 720p
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Ports
HDMI: --
DVI: --
DisplayPort: --
Thunderbolt: 4x USB-C (Thunderbolt 3, DisplayPort, USB 3.1 Gen 2)
USB: --
USB-C: 4x (Thunderbolt 3)
Lightning: --
Other: --

Dimensions / Housing
Height: 15 mm
Width: 304 mm
Depth: 212 mm
Weight: 1,370 g
Housing Material: Aluminum
Glas Type: --
IP Protection Class: --

Additional data
Part-no: A1706
Ident-No: MacBookPro14,2
EMC-No: 3163
Security features: TouchID
data sheet: Link to manufacturer

Benchmark results

Geekbench 6 - Single Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

View all Geekbench 6 benchmark results



Geekbench 6 - Multi Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

View all Geekbench 6 benchmark results



Geekbench 5 - Single Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

View all Geekbench 5 benchmark results



Geekbench 5 - Multi Core

Geekbench 5 is a multi-system benchmark and measures the performance of a computer. Geekbench version 5 contains new test fields such as augmented reality applications and calculations for machine learning.

View all Geekbench 5 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.

View all Cinebench R23 benchmark results



FP32 Performance (Single-precision TFLOPS) - FP32 (TFLOPS)

The theoretical computing power of the graphics card with single precision (32 bit) in TFLOPS. TFLOPS indicates how many trillion FP32 floating point operations the graphics card (GPU) can perform per second. The larger this number, the faster the graphics card is.

View all FP32 Performance (Single-precision TFLOPS) benchmark results



More benchmarks for
Apple MacBook Pro 13" i7 3.5 Touch (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:
Geekbench 6
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Geekbench 5
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Cinebench R23
Cinebench R23
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FP32 GPU-Performance
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