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NVIDIA GeForce MX570 A

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

April 2025

Introduction

The NVIDIA GeForce MX570 A has carved out its niche within the GPU lineup as a solution for compact systems and thin laptops. It combines energy efficiency with support for modern technologies, but is it suitable for gaming and professional tasks? Let's examine the details.

1. Architecture and Key Features

Architecture: The MX570 A is based on an enhanced version of NVIDIA Ampere, adapted for mobile and low-power devices.

Manufacturing Process: 8nm fabrication (Samsung), ensuring a balance between performance and power consumption.

Unique Features:

- RT Cores: Support for ray tracing, but with limitations due to the compact design.

- DLSS 3.5: Artificial intelligence to boost FPS in games through image reconstruction.

- NVENC: Hardware video encoding for streaming and editing.

Note: The MX570 A does not support DLSS Frame Generation — this feature is only available in the RTX 40 series and newer.

2. Memory: Fast but Not Without Compromises

Type and Volume: 6 GB GDDR6 with a 96-bit bus.

Bandwidth: 192 GB/s (effective speed of 12 Gbps).

Impact on Performance:

- Sufficient for gaming at medium settings in Full HD, but may experience frame drops in high-detail projects (e.g., Cyberpunk 2077) due to limited memory.

- For professional tasks (4K rendering), 6 GB is the minimum threshold, which imposes limitations on working with heavy scenes.

3. Gaming Performance: Modest but Stable

Testing in Popular Titles (average FPS, 1080p):

- Fortnite (Epic, DLSS Quality): 65-75 FPS.

- Apex Legends (high settings): 80-90 FPS.

- Cyberpunk 2077 (medium, RT Off): 45-50 FPS; with RT On and DLSS — 35-40 FPS.

- Hogwarts Legacy (low settings, DLSS Balanced): 50-55 FPS.

Resolutions:

- 1080p: Primary target area.

- 1440p: Only for less demanding games (CS2, Valorant) or with DLSS.

- 4K: Not recommended — frequent drops below 30 FPS.

Tip: For a comfortable gaming experience, enable DLSS and lower shadow and texture settings.

4. Professional Tasks: Not for Complex Projects

Video Editing:

- Premiere Pro: Rendering 1080p videos speeds up by 30% thanks to CUDA. 4K footage processes slower than on RTX 3060.

- DaVinci Resolve: NVENC is useful for exports, but Fusion effects require a more powerful card.

3D Modeling:

- Blender: Cycles with CUDA shows acceptable speed on simple scenes (up to 1 million polygons).

- Autodesk Maya: Real-time work is possible, but complex simulations cause lags.

Scientific Computing:

- CUDA/OpenCL support is beneficial for basic machine learning, but the limited memory restricts dataset sizes.

5. Power Consumption and Thermal Output

TDP: 35W — ideal for laptops and compact PCs.

Cooling:

- In laptops: Passive-active systems, noise under load — 38-42 dB.

- For desktops: Cases with 1-2 fans are recommended.

Tip: Avoid installation in mini-PCs without ventilation — throttling may occur.

6. Comparison with Competitors

AMD Radeon RX 6500M:

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

- Cons: Lack of a DLSS equivalent, poorer optimization for creative tasks.

Intel Arc A380:

- Pros: Better AV1 support, price starting at $180.

- Cons: Less stable drivers, higher power consumption.

Conclusion: The MX570 A wins on account of DLSS and CUDA, but falls short in "raw" power.

7. Practical Tips

Power Supply: 300W for PCs (considering headroom).

Compatibility:

- PCIe 4.0 x8 — check motherboard support.

- Laptops: Only models with MX slots (usually business-class ultrabooks).

Drivers:

- Regularly update via GeForce Experience.

- For professional tasks, use Studio Drivers.

8. Pros and Cons

Pros:

- Energy efficiency.

- Support for DLSS and RTX.

- Compact design.

Cons:

- Limited memory.

- Average performance in AAA games.

- Lack of hardware support for AV1.

9. Final Verdict: Who is the MX570 A Suitable For?

Target Audience:

- Students and office users: For work, study, and light gaming.

- Owners of thin laptops: Upgrade without sacrificing battery life.

- Enthusiasts of compact builds: Mini-PCs for HTPC or casual gaming.

Price: Starting from $250 (new devices, 2025).

Alternative: If more power is needed, consider the RTX 4050 Mobile (from $400), but be prepared for increased TDP.

Conclusion

The NVIDIA GeForce MX570 A is a solid choice for those who value a balance between price, power consumption, and capabilities. It won't impress in hardcore gaming, but it will serve as a reliable companion for everyday tasks and moderate gaming.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

May 2022

Model Name

GeForce MX570 A

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.