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Fine for gaming, development, and everyday compiling; rendering and encoding use the cores fully, while game frame rates follow single-core speed, memory, and the GPU. Pairing it with a B860 board is good value.\u003C\u002Fp>",203,{"slug":353,"type":353,"question":354,"answer":355,"page":9,"heat":356},{"slug":370,"type":370,"question":371,"answer":372,"page":9,"heat":373},"cooling","What cooler does Core Ultra 5 245 need, and how do gaming and sustained all-core loads differ?","\u003Cp style=\"margin:0 0 4px;line-height:1.5;\">&nbsp;&nbsp;A 4–6 heatpipe single tower or mid-size dual tower covers gaming on the 245; high-end dual towers or 240mm AIOs matter only for long all-core work or boards with wide-open power limits. Confirm the LGA1851 mounting kit when buying. Run 15 minutes all-core and size from sustained power and clocks.\u003C\u002Fp>",188,{"slug":375,"type":375,"question":376,"answer":377,"page":9,"heat":378},"ai","Beyond the 29 TOPS rating, do the 245's 14 cores actually stay busy in desktop AI work?","\u003Cp style=\"margin:0 0 4px;line-height:1.5;\">&nbsp;&nbsp;They stay busy once the division of labor is clear. The NPU owns always-on loads that should not burn watts, while the 14 cores with VNNI step in for short quantized small-model runs at a 5.1GHz boost — the practical ceiling there is dual-channel DDR5 bandwidth, not thread count, and a desktop's generous cooling lets such bursts run free.\u003C\u002Fp>\u003Cp style=\"margin:0 0 4px;line-height:1.5;\">&nbsp;&nbsp;An office desktop that wants light AI resident plus the occasional local model inference fits the 245 neatly. Expecting near-GPU generation speed from it is a category error. Sort out first whether this machine's AI time is mostly background or mostly compute: it excels at the former, and the latter belongs to a discrete card.\u003C\u002Fp>",181,[380,384,387,390,392,394,396,399,402,405,408,411,413,415,417,419,421,423,426,428],{"slug_a":381,"slug_b":382,"name_a":9,"name_b":9,"i_heat":383},"core-ultra-5-235","core-ultra-5-245",23,{"slug_a":385,"slug_b":382,"name_a":9,"name_b":9,"i_heat":386},"core-i5-14500",18,{"slug_a":382,"slug_b":388,"name_a":9,"name_b":9,"i_heat":389},"core-ultra-5-336h",16,{"slug_a":391,"slug_b":382,"name_a":9,"name_b":9,"i_heat":389},"core-i5-14600",{"slug_a":393,"slug_b":382,"name_a":9,"name_b":9,"i_heat":389},"core-ultra-5-235t",{"slug_a":382,"slug_b":395,"name_a":9,"name_b":9,"i_heat":389},"core-ultra-5-245t",{"slug_a":397,"slug_b":382,"name_a":9,"name_b":9,"i_heat":398},"core-i5-13500hx",15,{"slug_a":400,"slug_b":382,"name_a":9,"name_b":9,"i_heat":401},"core-i5-13600hx",13,{"slug_a":403,"slug_b":382,"name_a":9,"name_b":9,"i_heat":404},"core-i5-14500hx",11,{"slug_a":406,"slug_b":382,"name_a":9,"name_b":9,"i_heat":407},"core-i5-13600",10,{"slug_a":409,"slug_b":382,"name_a":9,"name_b":9,"i_heat":410},"core-i7-1270p",9,{"slug_a":412,"slug_b":382,"name_a":9,"name_b":9,"i_heat":410},"core-i7-1360p",{"slug_a":414,"slug_b":382,"name_a":9,"name_b":9,"i_heat":410},"core-ultra-5-135h",{"slug_a":416,"slug_b":382,"name_a":9,"name_b":9,"i_heat":298},"core-7-253pte",{"slug_a":418,"slug_b":382,"name_a":9,"name_b":9,"i_heat":298},"core-7-253pe",{"slug_a":420,"slug_b":382,"name_a":9,"name_b":9,"i_heat":298},"core-i5-14600t",{"slug_a":382,"slug_b":422,"name_a":9,"name_b":9,"i_heat":298},"core-ultra-5-245hx",{"slug_a":382,"slug_b":424,"name_a":9,"name_b":9,"i_heat":425},"core-ultra-5-250k-plus",7,{"slug_a":427,"slug_b":382,"name_a":9,"name_b":9,"i_heat":425},"core-i7-12700te",{"slug_a":382,"slug_b":429,"name_a":9,"name_b":9,"i_heat":425},"core-ultra-7-255h"]