Apple MacBook Air 15" M2 (2023)
Technical data and benchmarks

Apple MacBook Air 15

Device

Colours: Silver, Starlight, Space Grey, Midnight
Price from: 1,299 $ / 1,599 €
Release date: Q2/2023

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: 15.3 inch
Resolution: 2880x1864 @ 60 Hz (224 ppi)
Ratio: 16:10
Technology: IPS
Max. Brightness: 500 nits
HDR support: No (500 nits)
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: 66.50 Wh
Battery life: 18.00 h
Charging: USB-C @ 35 W (Optional 70W Fast-charge), MagSafe 3

Network

Wireless LAN: 802.11ax (WLAN 6)
LAN: --
Bluetooth: Bluetooth 5.3
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: 12 mm
Width: 340 mm
Depth: 238 mm
Weight: 1,510 g
Housing Material: Aluminum
Glas Type: --
IP Protection Class: --

Additional data

Part-no: A2941
Ident-No: Mac14,15
EMC-No: 8301
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.

Apple Mac Pro M2 Ultra 60-GPU (2023)
64 - 192 GB LPDDR5
2,689
Amazon
Apple Mac mini M2 Pro (2023)
16 - 32 GB LPDDR5
2,689
Amazon
Apple Mac Studio M2 Ultra 76-GPU (2023)
64 - 192 GB LPDDR5
2,689
Amazon
Apple Mac Pro M2 Ultra 76-GPU (2023)
64 - 192 GB LPDDR5
2,689
Amazon
Apple MacBook Air 15" M2 (2023)
8 - 24 GB LPDDR5
2,596
Amazon
Apple MacBook Air 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5
2,596
Amazon
Apple iPad Pro 12.9" 6th Gen Wi-Fi (2022)
8 - 16 GB LPDDR5
2,596
Amazon
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5
2,596
Amazon
Apple MacBook Air 13" M2 8-GPU (2022)
8 - 24 GB LPDDR5
2,596
Amazon
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 15" M2 (2023)
8 - 24 GB LPDDR5
10,062
Amazon
Apple MacBook Air 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5
10,062
Amazon
Apple MacBook Pro 13" M2 10-GPU (2022)
8 - 24 GB LPDDR5
10,062
Amazon
Apple iPad Pro 11" 4th Gen Wi-Fi (2022)
8 - 16 GB LPDDR5
10,062
Amazon
Apple MacBook Air 13" M2 8-GPU (2022)
8 - 24 GB LPDDR5
10,062
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 2024 - Single Core

The Cinebench 2024 benchmark is based on the Redshift rendering engine, which is also used in the 3D program Cinema 4D from the manufacturer Maxon. The benchmark runs are each 10 minutes long to test whether the processor is limited by its heat generation. Cinebench 2024 runs on Windows (x86-64 and arm) and macOS. He can also test the new Apple M processors.

View all Cinebench 2024 benchmark results



Cinebench 2024 - Multi Core

The Cinebench 2024 benchmark is based on the Redshift rendering engine, which is also used in the 3D program Cinema 4D from the manufacturer Maxon. The benchmark runs are each 10 minutes long to test whether the processor is limited by its heat generation. Cinebench 2024 runs on Windows (x86-64 and arm) and macOS. He can also test the new Apple M processors.

View all Cinebench 2024 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 15" M2 (2023)

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




Popular comparisons

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