<P> The upgraded ' PS4 Pro ' ( originally codenamed ' Neo ' , product code CUH - 7000 ) uses a more powerful APU initially built with a 16 nm FinFET process from TSMC . While the number of logical processor cores ( 8 ) remained the same , CPU clock speed was increased from 1.6 GHz to 2.13 GHz ( 33.1 % improvement in CPU core clockrate ) , but with the underlying architecture unchanged . The number of graphics Compute Units on the APU was doubled to 36 Graphics Core Next ( GCN ) Compute Units ( from 18 ) , with a clock speed increase to 911 MHz ( from 800 MHz ) , resulting in a theoretical single precision floating point performance metric of 4.19 TeraFLOPs . Compared to the original PS4 GPU , this is a 2.27 X increase in single precision FLOPs . Improvements in GPU 16 - bit variable float calculations derived from the newer AMD Vega architecture result in the PS4 Pro having a theoretical half precision floating point performance of 8.39 TeraFLOPs . </P>
<P> The upgraded ' PS4 Pro ' ( originally codenamed ' Neo ' , product code CUH - 7000 ) uses a more powerful APU initially built with a 16 nm FinFET process from TSMC . While the number of logical processor cores ( 8 ) remained the same , CPU clock speed was increased from 1.6 GHz to 2.13 GHz ( 33.1 % improvement in CPU core clockrate ) , but with the underlying architecture unchanged . The number of graphics Compute Units on the APU was doubled to 36 Graphics Core Next ( GCN ) Compute Units ( from 18 ) , with a clock speed increase to 911 MHz ( from 800 MHz ) , resulting in a theoretical single precision floating point performance metric of 4.19 TeraFLOPs . Compared to the original PS4 GPU , this is a 2.27 X increase in single precision FLOPs . Improvements in GPU 16 - bit variable float calculations derived from the newer AMD Vega architecture result in the PS4 Pro having a theoretical half precision floating point performance of 8.39 TeraFLOPs . </P>
what kind of processor is in a ps4
what kind of processor is in a ps4
a 16 nm FinFET process from TSMC
a 16 nm FinFET process from TSMC