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Best CPUs for AI work 2026

Only CPUs with a built-in NPU are listed — a separate block for neural networks. It handles background blur in video calls, live captions, Copilot features and other Windows AI tasks without loading the cores or draining the battery. Microsoft requires an NPU of 40+ TOPS for Copilot+ PC features.

# CPU Type Task score NPU (AI accelerator) Score
1 Ryzen 7 8700G Desktop
100.0
16 TOPS 48.69
2 Ryzen 5 8600G Desktop
94.9
16 TOPS 40.70

Compare the top two: Ryzen 7 8700G vs Ryzen 5 8600G →

Graphics cards for neural networks

To run language models and image generation on your own PC, video memory matters most: the model has to fit into it completely. So memory comes first here, then speed. Roughly: 8 GB fits small quantized models, 16 GB medium ones, 24–32 GB large ones. Most AI software works best with NVIDIA cards (CUDA).

#Graphics cardVRAMScoreAI TOPS (as stated by the maker)
1 GeForce RTX 5090 32 GB GDDR7
100.00
3352
2 GeForce RTX 4090 24 GB GDDR6X
76.68
1321
3 Radeon RX 7900 XTX 24 GB GDDR6
52.96
—
4 GeForce RTX 3090 Ti 24 GB GDDR6X
47.64
—
5 GeForce RTX 3090 24 GB GDDR6X
43.74
—
6 Radeon RX 7900 XT 20 GB GDDR6
46.47
—
7 GeForce RTX 5080 16 GB GDDR7
62.75
1801
8 GeForce RTX 4080 SUPER 16 GB GDDR6X
54.38
836
9 GeForce RTX 5070 Ti 16 GB GDDR7
52.04
1406
10 GeForce RTX 4080 16 GB GDDR6X
51.71
780
11 Radeon RX 9070 XT 16 GB GDDR6
50.60
779
12 GeForce RTX 4070 Ti SUPER 16 GB GDDR6X
47.91
706
13 Radeon RX 7900 GRE 16 GB GDDR6
42.62
—
14 Radeon RX 9070 16 GB GDDR6
40.46
578
15 Radeon RX 6950 XT 16 GB GDDR6
39.03
—

How we rank

Order: NPU power first (TOPS as stated by the manufacturer), then overall speed. For local language models and Stable Diffusion the graphics card and memory size matter more — that section will come with graphics cards.

The score is our own estimate from the specs (cores, threads, clocks, architecture generation), not a benchmark run. 100 = the fastest CPU in our database.