Apple Mac Pro M2 Ultra 76-GPU (2023)
Technical data and benchmarks

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.

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.

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.

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.

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.

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.

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.

More benchmarks for
Apple Mac Pro M2 Ultra 76-GPU (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

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