NVIDIA GeForce MX350

NVIDIA GeForce MX350

NVIDIA GeForce MX350: A Compact Graphics Card for Everyday Tasks and Light Gaming

Relevance Analysis in 2025


Introduction

The NVIDIA GeForce MX350, released in 2020, continues to be a popular choice for budget laptops and compact PCs even in 2025. Despite lacking support for modern technologies like ray tracing, this graphics card finds its audience due to its energy efficiency and affordable price. In this article, we'll explore who the MX350 is suitable for today and what tasks it can handle.


Architecture and Key Features

Architecture: The MX350 is based on the Pascal (GP107) architecture, introduced by NVIDIA in 2016. This means it lacks hardware support for RT and tensor cores, limiting compatibility with technologies like DLSS and ray tracing.

Process Technology: It is manufactured using a 14nm process by Samsung. By modern standards (where 5-7nm dominate), this is considered outdated, but for its intended tasks, the MX350 remains effective.

Unique Features:

- CUDA Cores: 640 CUDA cores for accelerated parallel computations.

- Optimus: Technology for automatic switching between integrated and discrete graphics to save power.

- NVENC: Hardware video encoding (H.264/H.265), useful for streamers and video editing.

Missing Features: No support for RTX, DLSS, or FidelityFX Super Resolution (FSR). These features are only available in newer NVIDIA GPUs (Ampere, Ada Lovelace) and AMD RDNA 2/3.


Memory: Type, Size, and Impact on Performance

- Memory Type: GDDR5 (not GDDR6).

- Size: 2GB is sufficient for working at 1080p, but in some games and applications, there may be limitations (for example, high-quality textures will require more VRAM).

- Bus Width: 64-bit, which is lower than the GTX 1650 (128-bit).

- Bandwidth: 48GB/s — a modest figure that impacts FPS in demanding projects.

Practical Tip: For gaming, choose "Medium" or "Low" texture settings to avoid buffer overflow.


Gaming Performance: What to Expect in 2025?

The MX350 is designed for 1080p/30-60 FPS in less demanding games and esports titles. Examples (at “Medium” settings):

- CS:GO — 90-110 FPS.

- Fortnite — 45-55 FPS (without shadows).

- Valorant — 70-80 FPS.

- GTA V — 50-60 FPS.

- Cyberpunk 2077 — 20-25 FPS (only on minimum settings).

1440p and 4K: Not recommended — even in lighter games, FPS will drop below 30.

Ray Tracing: Not supported. For RTX, a minimum of GTX 2060 or newer is required.


Professional Tasks: Editing, 3D Rendering, and Science

Video Editing:

- Premiere Pro: Render acceleration with CUDA. Recommended resolution is up to 1080p.

- DaVinci Resolve: Supports NVENC for encoding, but 2GB VRAM limits work with 4K footage.

3D Modeling:

- Blender: Basic work with simple scenes. For Cycles, it's better to use CPU or cloud solutions.

Scientific Calculations:

- CUDA/OpenCL: Suitable for training simple ML models (e.g., in TensorFlow), but not for complex tasks.

Advice: If professional tasks are your main objective, consider cards with 4GB+ VRAM (e.g., GTX 1650 or RTX 3050).


Power Consumption and Heat Output

- TDP: 25W. This allows the MX350 to be used in ultrabooks without a powerful cooling system.

- Temperatures: In laptops — 65-75°C under load. Overheating is rare due to low power consumption.

- Recommendations:

- For PCs: A case with at least one fan.

- For laptops: Use cooling pads during long gaming sessions.


Comparison with Competitors

AMD Radeon RX Vega 8 (Integrated):

- Advantages of MX350: +15-20% FPS in games, availability of dedicated memory.

- Disadvantages: Vega 8 is cheaper and does not require a separate chip.

NVIDIA GeForce MX550:

- Advantages of MX550: Turing architecture, GDDR6, +30% performance.

- Disadvantages: Laptops with MX550 are priced $100-150 higher.

Intel Arc A370M:

- Advantages of A370M: Support for XeSS, ray tracing.

- Disadvantages: Higher power consumption (35-50W).

Conclusion: The MX350 lags behind newer models but wins on price.


Practical Tips

- Power Supply: For laptops with MX350, the standard adapter (65W) is sufficient. For PCs, a PSU of at least 300W is needed.

- Compatibility: Only for devices with PCIe 3.0 x4. Check for drivers for your OS (Windows 10/11, Linux).

- Drivers: Regularly update via GeForce Experience, but don’t expect optimizations for the latest games.


Pros and Cons

Pros:

- Low power consumption.

- Affordable price (laptops starting from $500).

- Quiet operation.

Cons:

- Only 2GB VRAM.

- No support for DLSS/FSR and RTX.

- Outdated architecture.


Final Conclusion: Who is the MX350 Suitable For?

This graphics card is a choice for those who:

1. Are looking for a budget laptop for work, study, and light gaming.

2. Do not require ultra settings in games — willing to play on "Medium".

3. Value battery life — the MX350 doesn’t drain the battery as quickly as gaming GPUs do.

In 2025, the MX350 remains a niche solution, but for its price ($500-700 for a laptop), it meets expectations. If you need modern technologies, consider the RTX 2050 or Arc A370M.

Basic

Label Name
NVIDIA
Platform
Mobile
Launch Date
February 2020
Model Name
GeForce MX350
Generation
GeForce MX
Base Clock
747MHz
Boost Clock
937MHz
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.
32
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
1752MHz
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.
56.06 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.
14.99 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.
29.98 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.
18.74 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.
37.48 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.
1.175 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.
5
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.
640
L1 Cache
48 KB (per SM)
L2 Cache
512KB
TDP
20W
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.
16

Benchmarks

FP32 (float)
Score
1.175 TFLOPS
3DMark Time Spy
Score
1262
Blender
Score
97.72
OctaneBench
Score
29
Vulkan
Score
12472
OpenCL
Score
12811

Compared to Other GPU

FP32 (float) / TFLOPS
1.224 +4.2%
1.2 +2.1%
1.153 -1.9%
1.128 -4%
3DMark Time Spy
5182 +310.6%
3906 +209.5%
2755 +118.3%
1769 +40.2%
Blender
1497 +1431.9%
194 +98.5%
OctaneBench
123 +324.1%
69 +137.9%
Vulkan
98446 +689.3%
69708 +458.9%
40716 +226.5%
18660 +49.6%
OpenCL
62821 +390.4%
38843 +203.2%
21442 +67.4%
884 -93.1%