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NVIDIA GeForce MX570

NVIDIA GeForce MX570: Compact Power for Everyday Tasks and Light Gaming

April 2025

Introduction

The NVIDIA GeForce MX570 continues the line of mobile and compact GPUs, combining energy efficiency with sufficient performance for everyday tasks and moderate gaming. Released in 2024, this graphics card is positioned as a solution for ultrabooks and mini-PCs, where compactness and low power consumption are crucial. In this article, we will explore what the MX570 is capable of in 2025 and who it is suitable for.

1. Architecture and Key Features

Architecture: The MX570 is based on an updated version of the Ampere architecture, optimized for mobile devices. Unlike desktop RTX cards, it features cut-down CUDA cores (1024 units), which reduces TDP without critically sacrificing performance.

Manufacturing Process: The chip is built using Samsung's 6nm technology, ensuring a balance between power consumption and heat dissipation.

Features:

- DLSS 3.5: Support for AI upscaling allows for increased FPS in games with neural frame reconstruction activated.

- RTX Accelerators: Despite its mobile format, the MX570 includes hybrid ray tracing, albeit with limited performance (up to 20 rays per second).

- FidelityFX Super Resolution (FSR): Compatibility with AMD technology provides flexibility in graphics settings.

Notable Absence: Full hardware ray tracing support at the level of the RTX 4060 and above.

2. Memory: Type, Size, and Bandwidth

Memory Type: GDDR6 with a 64-bit bus.

Size: 4 GB — sufficient for 1080p operations but may become a bottleneck in games with high-resolution textures.

Bandwidth: 96 GB/s (12 Gbps effective speed). For comparison, the RTX 4050 Mobile offers 192 GB/s thanks to its 128-bit bus.

Impact on Performance:

- In games like Fortnite (Epic Settings, 1080p), the memory size is adequate for stable 60 FPS.

- In projects with RTX, such as Cyberpunk 2077, frame rates may drop to 30 FPS due to limited bandwidth.

3. Gaming Performance

1080p (Medium Settings):

- Apex Legends: 75–90 FPS.

- Valorant: 120–144 FPS.

- Hogwarts Legacy: 45–55 FPS (without RTX).

1440p: Not recommended for AAA games. In less demanding titles (CS2, Rocket League), it may achieve 60 FPS on high settings.

Ray Tracing: Activating RTX reduces FPS by 30–40%. For example, Minecraft RTX delivers 25–35 FPS with DLSS in Performance mode.

Tip: For comfortable gaming, use DLSS or FSR in balanced mode.

4. Professional Tasks

Video Editing:

- NVENC support accelerates rendering in DaVinci Resolve and Premiere Pro. Rendering a 4K video will take 20% less time compared to integrated graphics.

3D Modeling:

- In Blender and AutoCAD, the MX570 shows modest results: rendering a medium-level scene will take 15–20 minutes (compared to 5–7 minutes with the RTX 3050).

CUDA/OpenCL:

- The 1024 CUDA cores are useful for machine learning based on TensorFlow, but for serious tasks, it is better to choose cards with 8+ GB of memory.

Conclusion: The MX570 is suitable for students and freelancers but won't replace professional GPUs.

5. Power Consumption and Heat Dissipation

TDP: 35 W — this allows the card to be installed in thin laptops without bulky cooling systems.

Temperatures: Under load — up to 75°C. In passive mode (office tasks) — 40–50°C.

Recommendations:

- For laptops: Choose models with at least one fan.

- For mini-PCs: A case with ventilation openings and optimized airflow.

6. Comparison with Competitors

AMD Radeon RX 6500M:

- Pros: 8 GB GDDR6, better performance in Vulkan games.

- Cons: TDP 50 W, weak support for AI technologies. Price: $250–$300.

Intel Arc A370M:

- Pros: Good for streaming, supports AV1.

- Cons: Driver issues in older games. Price: $220–$270.

NVIDIA RTX 2050 Mobile:

- Falls short against the MX570 in energy efficiency but excels in compatibility with professional software.

MX570 Price: $200–$250 (new devices).

7. Practical Tips

Power Supply: For laptops — the standard 65–90 W adapter is sufficient. For desktop builds — a power supply of 300 W with an 80+ Bronze certification.

Compatibility:

- Laptops: Models like Dell XPS 13, Lenovo Yoga Slim.

- PCs: Compatible with motherboards supporting PCIe 4.0 x8.

Drivers: Regularly update GeForce Experience — NVIDIA optimizes performance for new games.

8. Pros and Cons

Pros:

- Energy efficiency.

- Support for DLSS 3.5 and FSR.

- Affordable price.

Cons:

- 4 GB of memory is a limitation for modern games.

- Weak RTX capabilities.

9. Final Conclusion: Who is the MX570 Suitable For?

This graphics card is the perfect choice for:

1. Ultrabook users who need portability and the ability to run less demanding games.

2. Office workers dealing with graphics and light editing.

3. Students studying 3D modeling at a basic level.

If you are looking for a GPU for AAA gaming or complex rendering tasks — consider the RTX 4050 or Radeon RX 7600M. But for a balance of price, energy, and compactness, the MX570 remains one of the best in its class.

Conclusion

The NVIDIA GeForce MX570 is a sensible compromise for those who value portability and are not willing to pay extra for excessive power. In 2025, it continues to be relevant in the budget segment, proving that even compact GPUs can handle a variety of tasks effectively.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

May 2022

Model Name

GeForce MX570

Generation

GeForce MX

Base Clock

832MHz

Boost Clock

1155MHz

Bus Interface

PCIe 4.0 x8

Transistors

Unknown

RT Cores

Tensor Cores

Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.

TMUs

Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.

Foundry

Samsung

Process Size

8 nm

Architecture

Ampere

Memory Specifications

Memory Size

2GB

Memory Type

GDDR6

Memory Bus

The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.

64bit

Memory Clock

1500MHz

Bandwidth

Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.

96.00 GB/s

Theoretical Performance

Pixel Rate

Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.

46.20 GPixel/s

Texture Rate

Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.

73.92 GTexel/s

FP16 (half)

An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.

4.731 TFLOPS

FP64 (double)

An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

73.92 GFLOPS

FP32 (float)

An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

4.636 TFLOPS

Miscellaneous

SM Count

Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.

Shading Units

The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.

2048

L1 Cache

128 KB (per SM)

L2 Cache

2MB

TDP

25W

Vulkan Version

Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.

1.3

OpenCL Version

3.0

OpenGL

4.6

DirectX

12 Ultimate (12_2)

CUDA

8.6

Power Connectors

None

Shader Model

6.6

ROPs

The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.