FP32 Performance (Single-precision 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.

FP32 or "single precision" is a term for a floating point format which occupies 32 bits in computer memory and has a precision between 7 and 8 valid digits. It is laid down in the "IEEE 754" standard and defines how binary data are stored. The calculation according to FP32 is e.g. more complex than according to FP16 (half accuracy).

The FP32 raw performance is of a purely theoretical nature, as it is only a small part of a complex GPU. In addition to the memory equipment (graphics memory), the memory bandwidth or the memory rate also play a major role. The number of execution units is also an important indicator. Modern graphics cards are also very optimized and have different areas for different computing tasks, e.g. for calculating ML (machine learning) or image processing. Ray tracing cores also fall into this area.

However, the performance information does give an initial assessment of the expected performance of a graphics card. Since the FP32 performance can also be determined quite easily from game consoles (e.g. XBox Series X / S or Playstation 5) or internal processor graphics cards (iGPUs), the FP32 performance also enables a cross-system performance assessment.

Thanks to the manufacturer's FP32 performance information, it is also possible to compare graphics cards for which there are no precise benchmarks from games or specific applications. The raw performance is also hardly susceptible to future firmware or driver updates, which can significantly affect the performance values ??in games, for example.

FP32 (TFLOPS)

Apple Mac Studio M1 Ultra 64-GPU (2022)
Apple M1 Ultra @ 3.20 GHz
21.200
Amazon
Apple Mac Studio M1 Ultra 48-GPU (2022)
Apple M1 Ultra @ 3.20 GHz
15.900
Amazon
Apple iMac Pro 27" 10-Core Vega 64X (2017)
Intel Xeon W-2150B @ 3.00 GHz
12.030
Amazon
Apple iMac Pro 27" 14-Core Vega 64X (2017)
Intel Xeon W-2170B @ 2.50 GHz
12.030
Amazon
Apple iMac Pro 27" 8-Core Vega 64X (2017)
Intel Xeon W-2140B @ 3.20 GHz
12.030
Amazon
Apple iMac Pro 27" 18-Core Vega 64X (2017)
Intel Xeon W-2191B @ 2.30 GHz
12.030
Amazon
Apple iMac Pro 27" 18-Core Vega 64 (2017)
Intel Xeon W-2191B @ 2.30 GHz
11.060
Amazon
Apple iMac Pro 27" 14-Core Vega 64 (2017)
Intel Xeon W-2170B @ 2.50 GHz
11.060
Amazon
Apple iMac Pro 27" 8-Core Vega 64 (2017)
Intel Xeon W-2140B @ 3.20 GHz
11.060
Amazon
Apple iMac Pro 27" 10-Core Vega 64 (2017)
Intel Xeon W-2150B @ 3.00 GHz
11.060
Amazon
Apple Mac Studio M1 Max 32-GPU (2022)
Apple M1 Max @ 3.20 GHz
10.600
Amazon
Apple MacBook Pro 16" M1 Max 32-GPU (2021)
Apple M1 Max @ 3.20 GHz
10.400
Amazon
Apple MacBook Pro 14" M1 Max 32-GPU (2021)
Apple M1 Max @ 3.20 GHz
10.400
Amazon
Apple iMac Pro 27" 10-Core Vega 56 (2017)
Intel Xeon W-2150B @ 3.00 GHz
8.960
Amazon
Apple iMac Pro 27" 14-Core Vega 56 (2017)
Intel Xeon W-2170B @ 2.50 GHz
8.960
Amazon
Apple iMac Pro 27" 8-Core Vega 56 (2017)
Intel Xeon W-2140B @ 3.20 GHz
8.960
Amazon
Apple iMac Pro 27" 18-Core Vega 56 (2017)
Intel Xeon W-2191B @ 2.30 GHz
8.960
Amazon
Apple Mac Studio M1 Max 24-GPU (2022)
Apple M1 Max @ 3.20 GHz
7.830
Amazon
Apple MacBook Pro 16" M1 Max 24-GPU (2021)
Apple M1 Max @ 3.20 GHz
7.800
Amazon







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