Choosing the Right SOM: Why MediaTek Genio Stands Out

Find out where MediaTek Genio-based SOMs, Tungsten 510 and Tungsten 700, differentiate.

At Ezurio, there is no “one processor fits all” strategy. Multiple silicon platforms are supported because embedded systems have different constraints: power, graphics, camera requirements, AI workloads, cost targets, and lifecycle expectations. Most design challenges are not about raw CPU speed, but about system balance.

• Can it render a fluid UI at 60 fps?
• Can it handle Chromium without lag?
• Can it decode 4K video without overheating?
• Can it run AI?
• Can it do all of that inside a sealed chassis?

This is where MediaTek Genio-based SOMs stand out.

Where Genio Processors Actually Make a Difference

High-Performance Application Cores

Modern embedded systems now run full Android or Linux-based graphical stacks. These workloads are latency-sensitive, where app launches, browser rendering, and touch interactions all compete for CPU time.

Cortex-A78 cores in Genio 700 improve responsiveness. Systems benefit from faster app launches, smoother scrolling, and fewer dropped frames. Chromium runs more reliably, and the UI remains responsive even during background tasks. This directly impacts user-facing products like kiosks, fitness equipment, and smart displays.

GPU Performance That Matches Display Expectations

Driving a display is no longer enough—driving it well is key. Systems are expected to support 4K, maintain 60 fps, and handle layered UI elements and video overlays.

Genio 510 and 700 use Mali GPUs designed for balanced performance. This results in stable video playback, responsive UI at high resolutions, and enough GPU headroom for animations and WebGL, even in fanless designs.

GPU Performance of the Tungsten 700 SMARC SOM

This evaluation includes:

• 1080p video playback at 60 FPS
• OpenGL and Vulkan GPU performance
• 2D and 3D graphics rendering

Learn more about Kynetics and their Embedded Android Developer Toolkit.

AI Acceleration That Doesn’t Break the System

AI at the edge is now a requirement in many applications such as object detection, smart retail, and predictive maintenance.

Genio 700 integrates a multi-TOPS NPU for hardware acceleration. Combined with strong CPU and GPU performance, systems remain responsive even during AI workloads.

• Run vision inference while maintaining 60 fps UI
• Stream video while executing AI models
• Avoid CPU bottlenecks during preprocessing

Video Acceleration That Protects CPU

Without a dedicated VPU, video decoding can overwhelm the CPU, reducing performance and increasing heat.

Genio platforms include hardware video encoding and decoding, keeping workloads off the CPU. This ensures smooth 4K playback, stable UI performance, and efficient power usage.

See the video capabilities of the Tungsten 700 with a 4K display.

When Genio-Based SOMs Make Sense

Genio-based SOMs are ideal when systems must handle multiple demanding tasks simultaneously.

• Android-based HMI
• Web-heavy interfaces
• 4K display requirements
• AI inference at the edge
• Concurrent video, UI, and AI workloads
• Fanless or thermally constrained environments
• User experience as a differentiator

Final Thoughts

Choosing a SOM is about balancing CPU, GPU, NPU, memory bandwidth, and video acceleration under real workloads.

Genio 510 and 700 offer this balance, delivering strong performance, efficient thermals, and scalability for future features. This reduces design risk and minimizes the need for redesigns later.

Tungsten 700 SMARC

• MediaTek Genio 700 processor
• 2x Cortex-A78 + 6x Cortex-A55
• Optional Wi-Fi 6 & Bluetooth 5.4
• 4K video encoder and decoder
• AI accelerator (4.0 TOPS)

Tungsten 510 SMARC

• MediaTek Genio 510 processor
• 2x Cortex-A78 + 4x Cortex-A55
• Optional Wi-Fi 6 & Bluetooth 5.4
• 4K video encoder and decoder
• AI accelerator (3.2 TOPS)

Courtesy of Ezurio