Intel Core i7-13700K – High-performance desktop CPU

Description

The Intel Core i7-13700K constitutes a high-performance option for desktop platforms, incorporating a 16-core architecture that debuted on the market during September 2022 with an initial price of $409. This model is part of the Core i7 series and uses the Raptor Lake architecture, designed for the LGA 1700 socket.

Core Configuration and Frequencies

Intel Hyper-Threading technology allows the performance cores (P-Cores) to handle double the processing threads, reaching a total of 24 simultaneous threads. The chip integrates 30 MB of L3 cache and establishes its base frequency at 3.4 GHz, with the ability to accelerate up to 5.4 GHz depending on the applied workload.

Production employs a 10-nanometer manufacturing node, although the manufacturer has not officially disclosed the transistor count. A significant advantage is its unlocked multiplier, considerably facilitating overclocking through direct operational frequency adjustments.

Power Consumption and Memory Compatibility

This processor presents a TDP (Thermal Design Power) of 125 W, demanding an efficient cooling system to guarantee adequate operating temperatures. It provides dual support for DDR4 and DDR5 memory through dual-channel interface, including compatibility with ECC (Error-Correcting Code) memory, crucial functionality in environments where information integrity is a priority.

Communication with other system elements is established through fifth-generation PCI-Express interface. Likewise, it incorporates the integrated UHD Graphics 770 solution for basic visual needs.

Virtualization Features and Extensions

The Core i7-13700K has hardware virtualization, substantially improving the performance of virtualized environments. It also implements IOMMU virtualization (PCI passthrough), allowing guest virtual machines to directly access host hardware resources.

Regarding specialized instruction sets, the processor executes advanced vector extensions AVX and the more recent AVX2 standard, optimizing applications with intensive computational loads. However, it lacks support for AVX-512.