Apple MacBook Air 13" M2 10-GPU (2022)
Technical data and benchmarks

Apple MacBook Air 13

Device

Colours: Silver, Starlight, Space Grey, Midnight
Price from: 1,499 $ / 1,849 €
Release date: Q2/2022

Processor

Name: Apple M2
Manufacturer: Apple
Cores / Threads: 8 / 8
Frequency: 3.50 GHz
Structure: 5 nm
Architecture: M2 (Avalanche / Blizzard)
Release date: Q2/2022

Memory

Memory Size: 8 - 24 GB
Memory Type: LPDDR5 6400
Memory Bandwith: 102.4 GB/s
Upgradeable? No

Graphic card

Name: Apple M2 - 10 GPU Cores
Type: Internal
Frequency: 1.40 GHz
Memory Size: 24.00 GB
Memory Type: LPDDR5
Structure: 5 nm
Release date: Q2/2022

Screen

Size: 13.6 inch
Resolution: 2560 x 1664 @ 60 Hz (224 ppi)
Ratio: 16:10
Technology: IPS
Max. Brightness: 1000 nits
HDR support: Yes (1600 nits)
Always On Display: No
1. external display: 6016 x 3384 @ 60 Hz
2. external display: --
3. external display: --

Storage

Size: 512 - 2,048 GB
Type: SSD
Interface: PCIe
Upgradeable? No
2. drive: --
Card reader: --

Battery

Type: Lithium-Polymer
Capacity: 52.60 Wh
Battery life: 18.00 h
Charging: USB-C @ 30 W (Optional 67W Fast-charge), MagSafe 3

Network

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

Camera

Front camera: 2.0 MP, 1080p
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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 / USB 4.0)
Lightning: --
Other: MagSafe 3

Dimensions / Housing

Height: 11 mm
Width: 304 mm
Depth: 215 mm
Weight: 1,240 g
Housing Material: Aluminum
Glas Type: --
IP Protection Class: --

Additional data

Part-no: --
Ident-No: MacBookAir11,1
EMC-No: --
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.

Apple iMac 24" M3 10 GPU Cores (2023)
8 - 24 GB LPDDR5
11,863
Amazon
Apple MacBook Pro 14" M1 Pro 8-CPU 14-GPU (2021)
16 - 32 GB LPDDR5
10,412
Amazon
Apple Mac Pro 16-Core (2019)
32 - 768 GB DDR4
10,362
Amazon
Apple Mac Pro 28-Core (2019)
32 - 1,536 GB DDR4
10,350
Amazon
Apple MacBook Air 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5
9,691
Amazon
Apple Mac mini M2 (2023)
8 - 24 GB LPDDR5
9,691
Amazon
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5
9,691
Amazon
Apple MacBook Air 15" M2 (2023)
8 - 24 GB LPDDR5
9,691
Amazon
Apple iPad Pro 12.9" 6th Gen Wi-Fi (2022)
8 - 16 GB LPDDR5
9,691
Amazon
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 Air 13" M2 10-GPU (2022)

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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