Apple MacBook Air 13" M2 10-GPU (2022) in FP32 Performance (Single-precision TFLOPS)

Here we show you how fast the Apple MacBook Air 13" M2 10-GPU (2022) is in the benchmark FP32 Performance (Single-precision TFLOPS). You can use the benchmark result to decide whether the product is suitable for your applications.

The Apple MacBook Air 13" M2 10-GPU (2022) uses the Apple M2 processor with 8 cores and has 8 - 24 GB LPDDR5 memory.

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Processor

Name: Apple M2
Manufacturer: Apple
Cores / Threads: 8 / 8
Frequency: 3.50 GHz

Memory

Memory Size: 8 - 24 GB
Memory Type: LPDDR5 6400
Memory Bandwith: 102.4 GB/s

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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