Home / NVIDIA / NVIDIA GeForce MX550: Performance and Specs

NVIDIA GeForce MX550

About GPU

The NVIDIA GeForce MX550 is a solid entry-level GPU designed for casual gamers and content creators who are looking for a budget-friendly option. With a base clock of 1065MHz and a boost clock of 1320MHz, this mobile platform GPU offers decent performance for its price point. The MX550 comes with 2GB of GDDR6 memory and a memory clock speed of 1500MHz, providing enough memory bandwidth for smooth gaming and content creation tasks. With 1024 shading units and 2MB of L2 cache, the MX550 handles graphics-intensive workloads with relative ease. One of the standout features of the MX550 is its low TDP of 25W, making it a great option for thin and light laptops that prioritize battery life and portability. Despite its low power consumption, the MX550 still manages to deliver a theoretical performance of 2.703 TFLOPS, which is impressive for its class. Overall, the NVIDIA GeForce MX550 is a reliable GPU that offers a good balance of performance and power efficiency. While it may not be suitable for high-end gaming or professional-grade content creation, it's more than capable of handling everyday tasks and light gaming with ease. If you're in the market for an affordable GPU that offers a decent level of performance, the MX550 is definitely worth considering.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

January 2022

Model Name

GeForce MX550

Generation

GeForce MX

Base Clock

1065MHz

Boost Clock

1320MHz

Bus Interface

PCIe 4.0 x8

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.

21.12 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.

42.24 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.

2.703 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.

42.24 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.

2.757 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.

1024

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