Intel Core i7 14700F 14th Generation Processor 20Cores/28Threads LGA1700 33M Cache, up to 5.40 GHz Box

Intel Core i7-14700F 5.40 GHz 20Cores/28Threads LGA1700 14th Gen Processor 
The Intel Core i7-14700F 20-Core LGA 1700 Processor. Built with the Intel 7 process, this 14th-generation desktop processor delivers improved power efficiency with a total of 20 cores while fitting the LGA 1700 socket. Featuring an optimized Hybrid Core Architecture, the Core i7-14700F powers demanding applications and games with eight performance cores, while the 12 low-voltage Efficient-cores handle background tasks for smooth multitasking. The built-in Intel Thread Director ensures that the two work seamlessly together by dynamically and intelligently assigning workloads to the right core at the right time.

With 33MB of cache and a 5.4 GHz Turbo Boost Max 3.0 frequency, this processor is made to handle intense workloads. The Core i7-14700F also supports PCI Express 5.0 and up to 192GB of dual-channel DDR5 ECC memory at 5600 MHz.

The Core i7-14700F does not include integrated graphics, meaning that users will need to purchase a separate dedicated graphics card. A Laminar RM1 cooler is included.

Hybrid Core Design
Performance cores provide the speed to handle high-end games and demanding applications while low-priority and background tasks such as streaming video, playing music, and encoding media are handled by the processor's Efficient-cores.

Intel Thread Director
The Intel Thread Director is built into the CPU's cores, working with the operating system to ensure each of the 28 threads is assigned to the right core at the right time.

PCIe 4.0 & 5.0
This processor supports up to four PCIe 4.0 and sixteen PCIe 5.0 lanes, delivering 20 lanes in total for exceptional data throughput with compatible devices.

Gaussian & Neural Accelerator 3.0
Gaussian and Neural Accelerator 3.0 (GNA) technology helps with noise suppression while enhancing background blurring during video chats.

Intel Deep Learning Boost
Accelerates AI inference to improve performance for deep learning workloads.