Arm's new AI-native chips promise desktop-class gaming on 2027 Android phones

Reviewed byNidhi Govil

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Arm unveiled its CSS for Mobile 2 platform featuring the Mali G2-Ultra NX GPU with integrated neural accelerators and C2 CPU cores optimized for AI workloads. The technology enables AI upscaling from 540p to 1080p and frame generation up to 60fps while consuming under 1 watt. First devices launching with Xiaomi in 2026, broader rollout expected in 2027 flagship Android phones from MediaTek and Samsung.

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Arm introduces neural graphics technology for mobile gaming

Arm announced its CSS for Mobile 2 platform at the Arm Everywhere China event in Shanghai, marking a shift toward AI-integrated mobile computing

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. The platform centers on the Mali G2-Ultra NX, described as Arm's first AI-native GPU, which integrates neural accelerators directly into the graphics pipeline rather than relying on separate neural processing units

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. This architectural change reduces latency and improves power efficiency by eliminating data transfer between separate processing units.

The Mali G2-Ultra NX employs three distinct AI techniques for graphics enhancement. Neural Super Sampling upscales low-resolution renders from 540p to 1080p, while Neural Frame Rate Upscaling generates intermediate frames to boost from 30fps to 60fps

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. Neural Denoising removes artifacts from graphically demanding scenes featuring ray-traced reflections and complex lighting. When combined, these techniques deliver what Arm claims is 4x higher performance efficiency and up to 70% lower external memory traffic compared to conventional graphics rendering

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Desktop-class performance within mobile power constraints

The technology enables desktop-quality graphics within a 1-watt power budget, with the entire phone consuming no more than 2.5 watts during gaming sessions

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. Chris Bergey, Arm's executive vice president of Edge AI Business, explained the practical implications: "It might be like, hey, you can now play 1080p, 60 frames per second for three hours. In the past, it was 30 minutes"

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. By rendering graphics at lower resolution and fewer frames that AI then enhances, smartphones can utilize smaller batteries and achieve more compact form factors

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Benchmark results show a 24% improvement in overall performance and a 14% boost in ray tracing capabilities

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. The Mali G2-Ultra NX also features an all-new execution engine, dedicated neural accelerator hardware, and a third-generation ray tracing unit designed for full-scene lighting and shadows

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. Arm demonstrated these capabilities through a co-developed game with Sumo Digital, showcasing fantasy environments with ray-traced lighting that the GPU sustains at 30fps thanks to a 70% reduction in overall ray tracing workload

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C2 CPU cores optimized for agentic AI workloads

Alongside the GPU announcement, Arm introduced new C2 CPU cores specifically designed for agentic AI workflows on edge devices

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. The C2-Ultra core delivers up to 15% higher single-thread performance and 12% higher multi-thread performance compared to last year's C1-Ultra, while consuming 38% less power

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. Across AI models, the cores achieve 1.7x performance improvements

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The C2-Ultra maintains the same pipeline width as its predecessor but increases the execution window by 30%, keeping approximately 2,600 instructions in flight simultaneously compared to 2,000 in the C1-Ultra

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. Enhanced out-of-order execution mechanisms with smarter speculation enable earlier detection of code dependencies, reducing bottlenecks and power consumption. Clock speeds reach 4.45GHz, with 8% of the performance gains attributed to frequency improvements and the remaining 7% from architectural enhancements

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Dual SME2 units accelerate on-device AI processing

The CSS for Mobile 2 platform incorporates two Scalable Matrix Extensions (SME2) units in the CPU cluster, doubling the previous generation's single unit configuration

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. This enables up to 70% speedup on small language models by accelerating low-precision matrix math commonly used in AI workloads

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. The SME2 instructions execute within the regular CPU pipeline, requiring minimal additional developer effort beyond ensuring proper compilation

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For agentic AI workflows combining speech processing, memory retrieval, reasoning, application execution, and web browsing, C2-Ultra cores completed tasks 24% faster than previous generation cores

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. Real-world benchmarks demonstrate a 40% reduction in speech-to-text latency, 41% faster memory retrieval search, and 25% improvement in time-to-first-token for prompt generation

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. These improvements address the shift toward on-device AI processing, as Bergey noted: "When every interaction has to travel to a datacenter and back, there's implications for latency, connectivity, the cost of delivering those services at enormous scale"

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Xiaomi leads commercial rollout, broader availability in 2027

The Xiaomi 18 Fold launched in mainland China as the first device featuring the Mali G2-Ultra NX inside its custom Xring O3 chip

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. Xiaomi claims an 85% performance increase over its previous GPU and demonstrates 3.2K resolution at 120fps on the Xiaomi Pad 9 Pro Max tablet

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. Bergey confirmed broader availability: "You will be able to buy it; you will be able to get it in phones next year, you will be able to get it in other types of larger screen devices, whether that be tablets or Chromebooks"

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Expected chipsets from MediaTek and Samsung incorporating the C2-Ultra cores should arrive in flagship Android phones around 2027

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. Google's Tensor G7 may also adopt the technology. Neural graphics features will roll out incrementally, with Neural Super Sampling arriving first in early titles, frame generation following in early 2027, and denoising "soon after that"

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. Arm has published its neural graphics SDK and sample code on GitHub with Vulkan API support to encourage developer adoption

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. The technology extends beyond flagship devices, with neural graphics available across Premium and Pro GPU configurations for broader market segments

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