Apple M1 Pro GPU 14-Core Nvidia equivalent

Apple M1 Pro GPU 14-Core on Amazon USA

Nvidia equivalent of the Apple M1 Pro GPU 14-Core graphics card in the various benchmark platforms.

FP32 Performance in GFLOPS
Nvidia GeForce GTX 1070 Max-Q 5,648
Nvidia GeForce RTX 2070 Max-Q 5,460
Nvidia GeForce GTX 1660 Ti 5,437
Nvidia Quadro P4000 5,304
Nvidia Quadro RTX 3000 Mobile 5,299
Nvidia GeForce RTX 3050 Ti Mobile 5,299
Nvidia GeForce RTX 3050 Ti Max-Q 5,299
Nvidia GeForce GTX 1660 Super 5,027
Nvidia GeForce GTX 1660 5,027
Nvidia GeForce GTX 1660 Ti Mobile 4,884
Nvidia GeForce MX570 4,731
Nvidia RTX A1000 Mobile 4,669
Nvidia GeForce RTX 2060 Mobile 4,608
Apple M1 Pro GPU 14-Core 4,580
Nvidia GeForce RTX 2060 Max-Q 4,550
Nvidia GeForce GTX 1650 Super 4,416
Nvidia GeForce GTX 1060 6GB 4,375
Nvidia GeForce GTX 980 Mobile 4,358
Nvidia GeForce RTX 3050 Mobile 4,329
Nvidia GeForce RTX 3050 Max-Q 4,329
Nvidia GeForce GTX 1060 Mobile 4,275
Nvidia Quadro M5000 4,252
Nvidia GeForce GTX 1660 Ti Max-Q 4,101
Nvidia Tegra Orin T234 GPU 4,096
Nvidia GeForce GTX 1660 Mobile 4,070
Nvidia GeForce GTX 1060 3GB 3,935

Single precision floating point format, also known as FP32, is a computer number format that typically occupies 32 bits in PC memory. This represents a wide dynamic range of numeric values that employs a floating point. © 2022 - Information - XML sitemap - Privacy policy - Advertising policy - Contact


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