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NVIDIA GeForce MX150 GP107

NVIDIA GeForce MX150 GP107: Review and Analysis in 2025

Introduction

The NVIDIA GeForce MX150, released in 2017, has long been a popular choice for budget laptops due to its balance of performance and energy efficiency. However, by 2025, this model is considered outdated. This article will explore how relevant the MX150 is today, who it may benefit, and what limitations to consider.

1. Architecture and Key Features

Pascal Architecture: Modest Legacy

The MX150 is built on the Pascal architecture (GP107), created using a 14nm manufacturing process. This first generation of NVIDIA GPUs was optimized for energy efficiency, making the card ideal for ultrabooks. However, by 2025, Pascal is significantly behind modern architectures such as Ada Lovelace or RDNA 3.

Lack of Modern Technologies

The MX150 does not support ray tracing (RTX), DLSS, or FidelityFX—features introduced in later GPU generations. The only "feature" is Optimus technology, which automatically switches between integrated and discrete graphics to save power.

2. Memory: Modest Specifications

GDDR5 and Limited Capacity

The MX150 uses GDDR5 memory (not GDDR6 or HBM) with 2 or 4 GB of capacity. The bandwidth reaches 48 GB/s (for the 4 GB version). This is sufficient for basic tasks, but in games with high textures (such as Cyberpunk 2077), there are lags due to insufficient memory.

Impact on Performance

For 1080p resolution on low settings, 2 GB is the minimal threshold. The 4 GB version is slightly more stable, but even it struggles with modern projects in 2025, such as Starfield or GTA VI.

3. Gaming Performance

Average FPS in Popular Games

- CS2: 50-60 FPS on low settings (1080p).

- Fortnite: 40-45 FPS (1080p, low detail).

- The Witcher 3: 25-30 FPS (720p, medium settings).

Higher Resolutions Not for MX150

Attempts to run games at 1440p or 4K lead to FPS dropping below 15. The card is designed for HD gaming in less demanding projects. Modern AAA titles, even with DLSS/FSR, are out of reach.

4. Professional Tasks

Video Editing and 3D Modeling

With 384 CUDA cores, the MX150 can speed up rendering in Premiere Pro or Blender, but only in simple projects. Rendering a scene in Blender Cycles will take 3-4 times longer than on an RTX 3050.

Scientific Calculations

For tasks based on OpenCL or CUDA (for example, machine learning), the MX150 is underpowered: its limited memory and low computational power (around 1 TFLOPs) restrict its use.

5. Power Consumption and Heat Dissipation

TDP of 25 Watts: Perfect for Thin Laptops

The MX150 does not require active cooling in most scenarios. However, in compact cases, overheating may occur during prolonged loads.

Cooling Recommendations

- Use laptop cooling pads.

- Avoid lengthy gaming sessions.

6. Comparison with Competitors

AMD Radeon Vega 8/10

The integrated graphics of the Ryzen 5 5600U (Vega 7) nearly catch up with the MX150 in gaming but fall short in CUDA tasks.

Intel Iris Xe

Modern Iris Xe (e.g., in Core i7-1260P) outperform the MX150 by 15-20% in synthetic tests but lag in support for professional applications.

NVIDIA RTX 2050

Even the lower-end RTX 2050 (2021) is twice as powerful thanks to the Ampere architecture and support for DLSS.

7. Practical Tips

Power Supply and Compatibility

- The MX150 is integrated into laptops, so no separate power supply is needed.

- For external docking stations, ensure support for PCIe 3.0 x4.

Drivers

NVIDIA discontinued official support for the MX150 in 2024. Updates are available through community sources (for example, modified drivers).

8. Pros and Cons

Pros

- Low power consumption.

- CUDA support for basic professional tasks.

- Quiet operation in office scenarios.

Cons

- Struggles with modern games and applications.

- Limited memory capacity.

- Lack of support for new technologies (DLSS, RTX).

9. Final Conclusion: Who is the MX150 Suitable for in 2025?

This graphics card is suitable for:

1. Budget Laptops: If you are looking for a device under $500 for work and study.

2. Light Gaming: For running older or less demanding games (e.g., Minecraft or Dota 2).

3. Mobile Users: Who prioritize battery life over power.

However, if your budget allows, it's better to look at laptops with the RTX 3050 (starting at $700) or AMD Radeon 780M—they offer 3-4 times the performance at a similar TDP.

Prices in 2025: Laptops with the MX150 can still be found for $300-400, but their market share is rapidly shrinking.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

February 2019

Model Name

GeForce MX150 GP107

Generation

GeForce MX

Base Clock

1469MHz

Boost Clock

1532MHz

Bus Interface

PCIe 3.0 x4

Transistors

3,300 million

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

14 nm

Architecture

Pascal

Memory Specifications

Memory Size

2GB

Memory Type

GDDR5

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

1502MHz

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.

48.06 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.

24.51 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.

36.77 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.

18.38 GFLOPS

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.

36.77 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.

1.153 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.

384

L1 Cache

48 KB (per SM)

L2 Cache

512KB

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 (12_1)

CUDA

6.1

Power Connectors

None

Shader Model

6.4

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.

Benchmarks

FP32 (float)

Score

1.153 TFLOPS

Blender

Score

Compared to Other GPU

FP32 (float) / TFLOPS

GeForce MX330

1.2 +4.1%

GeForce MX350

1.175 +1.9%

GeForce MX150 GP107

1.153

Quadro K1200

1.128 -2.2%

GeForce GTX 480 Core 512

1.1 -4.6%

Blender

GeForce RTX 2060

1506.77 +1693.8%

Arc A550M

848 +909.5%

Quadro T1000 Mobile GDDR6

415 +394%

GeForce GTX 880M

194 +131%

GeForce MX150 GP107