Intel Core i5 13600K 13th Gen 2.60GHz LGA1700 Raptor Lake Processor - 24MB SmartCache, Intel UHD Graphics 770, Graphics Base Frequency 300 MHz, Graphics Max Dynamic Frequency 1.50 GHz, Retail Box , 3 year Limited Warranty
Power up your productivity, gaming, and content creation with the Intel Core i5-13600K 2.6 GHz 14-Core LGA 1700 Processor. This 13th generation desktop processor builds upon the Hybrid Core architecture and Intel 7 process by fitting 14 cores, four more than the previous generation, onto a single processor while still supporting the LGA 1700 socket. Designed to provide strong performance for everyday tasks, the Core i5-13600K features eight low-voltage Efficient-cores that handle background tasks for multitasking while the six 2.60 GHz Performance-cores power applications and games. 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.
Hybrid Core Design
•Performance-cores provide the speed to handle high-end games and demanding applications while low-priority and background tasks are handled by the processor's Efficient-cores for multitasking.
Intel Thread Director
•The Intel Thread Director is built into the CPU's cores, working with the operating system to ensure each of the 20 threads are 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.
•Driven by Intel Xe architecture, the integrated Intel UHD 770 Graphics delivers fast, rich 3D performance for high-quality visuals with support for either one 7680 x 4320 resolution 8K monitor or up to four 3840 x 2160 resolution 4K displays with high-dynamic range.
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.