UNIT · INTEL · GPU
entryReviewed May 2026

Intel Arc 140V (Lunar Lake iGPU)

No editorial image yet — generic vendor mark shown. Credentials in spec table below.

Intel Lunar Lake's Arc 140V iGPU (Xe2 Battlemage architecture). Highest iGPU bandwidth on Windows in 2026 (137 GB/s LPDDR5x-8533). ~12-18 tok/s on 7B Q4. Pairs with Intel's NPU 4 (48 TOPS) for hybrid inference. The 'best thin-laptop iGPU for AI' choice in 2026.

Released 2024·137 GB/s memory bandwidth
RUNLOCALAI SCORE
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115/ 1000
DD-tier
Estimated
Throughput
32/ 500
VRAM-fit
0/ 200
Ecosystem
80/ 200
Efficiency
52/ 100

Sub-scores sum to 164 / 1000. Headline = 164 × 0.70 (Estimated-confidence discount) = 115. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →

Extrapolated from 137 GB/s bandwidth — 11.0 tok/s estimated. No measured benchmarks yet.

Plain-English: Doesn't fit modern chat models usefully — vision models won't fit.

7B chat✗
Doesn't fit
14B chat✗
Doesn't fit
32B chat✗
Doesn't fit
70B chat✗
Doesn't fit
Coding agent✗
Doesn't fit
Vision (≤8B VLM)✗
Doesn't fit
Long context (32K)✗
Doesn't fit
✓Comfortable — fits with headroom
~Tight — works, no slack
△Marginal — needs aggressive quant
✗Doesn't fit usefully

Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.

BLK · OVERVIEW

Overview

Intel Lunar Lake's Arc 140V iGPU (Xe2 Battlemage architecture). Highest iGPU bandwidth on Windows in 2026 (137 GB/s LPDDR5x-8533). ~12-18 tok/s on 7B Q4. Pairs with Intel's NPU 4 (48 TOPS) for hybrid inference. The 'best thin-laptop iGPU for AI' choice in 2026.

Retailers we'd check:Amazon

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BLK · SPECS

Specs

VRAM0 GB
Power draw (peak)17 W
Released2024
Backends
Vulkan

Frequently asked

Does Intel Arc 140V (Lunar Lake iGPU) support CUDA?

Intel Arc 140V (Lunar Lake iGPU) does not support CUDA. Use Vulkan-compatible tools (llama.cpp Vulkan backend) or check vendor-specific runtimes.

Where next?

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.