Arm at COMPUTEX had just announced the Total Compute Solutions 2023 (TCS23) platform. This has been made specifically for mobile computing, offering Arm’s best premium solution for smartphones yet.

TCS23 delivers a complete package designed and optimized for specific workloads to work seamlessly together as a complete system. This includes a new 5th-gen Arm Immortalis GPU. There’s also a new cluster of Arm v9 CPUs for next-gen AI computing along with new enhancements to deliver more accessible software for the millions of Arm developers.

5th Generation GPU

The new Immortalis-G720 is Arm’s fastest and most efficient GPU ever. It delivers 15% more performance and efficiency improvements over the previous generation, as well as a 40% uplift in system-level efficiency.

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The G720 comes with Deferred Vertex Shading (DVS). It redefines the dataflow, enabling Arm partners to scale for larger core counts and higher performance points. The benefits of DVS were already seen across many popular games from Genshin Impact to even Fortnite.

Alongside the Immortalis-G720, Arm also added some world-class portfolio of GPUs with the new Arm Mali-G720 and Mali-G620. Through these new Mali GPUs, Arm is committed to bringing premium graphics features to a wider market of consumer devices.

4th Generation CPU

In conjunction with the new GPUs, the company also announces the Armv9 Cortex CPU compute cluster, featuring the Arm Cortex-X4, the company’s fourth-generation Cortex-X core. It is the fastest CPU that Arm have ever built, bringing 15% performance compared to the Cortex-X3.

Meanwhile, the new power efficient microarchitecture consumes 40% less power than Cortex-X3 on the same process. These performance and efficiency gains brings on-device experiences like UI responsiveness and application launch time to the next level.

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Now the Cortex-A720 boosts sustained performance as the workhorse of the compute cluster. Meanwhile, the Cortex-A520 is Arm’s high-efficiency CPU core. Use cases like AAA gaming, all-day productivity and background tasks all benefit from the 20% power efficiency improvements of these new CPU designs over previous generations.

Long Standing Partnership with TSMC

Arm is taking their long-standing partnership with TSMC a step further through taping out the Cortex-X4 on the TSMC N3E process. This ensures that their ecosystem is ready to maximize the PPA (power, performance and area) benefits of Arm’s processor technologies once they are taped out.

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Rounding off the 2023 CPU cluster is Arm’s new DynamIQ Shared Unit or the DSU-120. It is designed for demanding multi-thread use cases and enables a broad range of devices from wearables to smartphones and laptops.

Software and security

Through TCS23, Arm is ensuring that millions of mobile developers developing on Arm, for Arm, have the capabilities and tools to write easier, simpler, faster and more secure software.

During the past year,  generative AI have amazed the world with processing capabilities doubling every two years on smartphones. Arm is leading the way in supporting developers to take advantage of AI and ML (machine learning) workloads by enabling their hardware with increased ML capabilities via open-source software libraries.

That said, Arm NN and Arm Compute Library are now being used by Google apps on Android with over 100 million active users already, enabling developers to optimize the execution of their ML workloads on Armv9 Cortex-A CPUs and Arm GPUs.

All new CPUs deliver 64-bit computing and Armv9 security innovation to protect against more advanced digital threats. Arm continues to successfully deploy Arm Memory Tagging Extension (MTE), which eliminates memory safety bugs that make up 70% of all software vulnerabilities across the mobile ecosystem.

Redefining the future of mobile computing

The products Arm are launching today will be powering the next generation of flagship smartphones, but they are also looking further out as well. Over the next few years, Arm will invest heavily in key IP such as the Krake GPU and the Blackhawk CPU to deliver the compute and graphics performance that their partners demand.

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