Apple MacBook Pro 13" M1 8-GPU (Late 2020)
Technical data and benchmarks

Apple MacBook Pro 13

Device
Colours: Silver, Space Grey
Price from: 1,299 $
Release date: Q4/2020

Processor
Name: Apple M1
Manufacturer: Apple
Cores / Threads: 8 / 8
Frequency: 3.20 GHz
Structure: 5 nm
Architecture: M1 (Firestorm / Icestorm)
Release date: Q4/2020

Memory
Memory Size: 8 - 16 GB
Memory Type: LPDDR4X 4266
Memory Bandwith: 68.2 GB/s
Upgradeable? No

Graphic card
Name: Apple M1 - 8 GPU Cores
Type: Internal
Frequency: 1.30 GHz
Memory Size: 8.00 GB
Memory Type: LPDDR4X
Structure: 5 nm
Release date: Q4/2020

Screen
Size: 13.3 inch
Resolution: 2560 x 1600 @ 60 Hz (227 ppi)
Ratio: 16:10
Technology: IPS
Brightness: 500 nits
HDR support: Yes
Always On Display: No
1. external display: 6016 x 3384 @ 60 Hz
2. external display: --
3. external display: --

Storage
Size: 256 - 2,048 GB
Type: SSD
Interface: PCIe
Upgradeable? No
2. drive: --
Card reader: --

Battery
Type: Lithium-Polymer
Capacity: 58.00 Wh
Battery life: 20.00 h
Charging: USB-C @ 61 W

Network
Wireless LAN: 802.11ax (WLAN 6)
LAN: --
Bluetooth: Bluetooth 5.0
Cellular: --

Camera
Front camera: 0.9 MP, 720p
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Ports
HDMI: --
DVI: --
DisplayPort: --
Thunderbolt: 2x USB-C (Thunderbolt 3, DisplayPort, USB 3.1 Gen 2)
USB: --
USB-C: 2x (Thunderbolt 3 / USB 4.0)
Lightning: --
Other: --

Dimensions / Housing
Height: 16 mm
Width: 304 mm
Depth: 212 mm
Weight: 1,400 g
Housing Material: --
Glas Type: --
IP Protection Class: --

Additional data
Part-no: A2338
Ident-No: MacBookPro17,1
EMC-No: 3578
Security features: TouchID

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" M1 8-GPU (Late 2020)

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
FP32 GPU-Performance
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