AMD FirePro M6100

AMD FirePro M6100

AMD FirePro M6100: A Professional Tool in the World of Mobile Workstations

April 2025


Introduction

In an era where graphics and computing have become integral to both creative and engineering tasks, professional graphics cards remain key players. The AMD FirePro M6100, released in the mid-2010s, is still found in used workstations and laptops. Despite its age, this model remains relevant for specific scenarios. Let's explore who it may be suitable for in 2025.


Architecture and Key Features

Architecture: FirePro M6100 is based on the Graphics Core Next (GCN) 1.0 microarchitecture, which has been the foundation for many AMD solutions.

Manufacturing process: 28 nm was the standard for its time but becomes outdated by 2025. This limits energy efficiency and potential for miniaturization.

Unique features:

- Support for OpenCL 1.2 and DirectX 11.2, relevant for professional software but not for modern games with DX12 Ultimate.

- Technologies such as FidelityFX or hardware ray tracing (RTX) are absent — the card is focused on computations rather than visual effects.


Memory: Speed and Capacity

Type and capacity: 4 GB GDDR5 — modest for 2025, but sufficient for basic tasks.

Bus and bandwidth: The 256-bit bus offers 160 GB/s. This is adequate for rendering simple 3D scenes or working in CAD applications, but handling 8K video or complex simulations will require more modern solutions.

Impact on performance: Limited memory capacity becomes a "bottleneck" in projects with heavy textures or large datasets.


Gaming Performance: Nostalgia in HD

The FirePro M6100 was designed for work tasks, but users often test it in games. In 2025, its capabilities are modest:

- 1080p / Low settings:

- CS:2 — 45-60 FPS.

- GTA V — 30-40 FPS.

- 1440p and 4K: Not recommended — FPS drops below 30.

Ray tracing: Not supported. By comparison, even budget cards in 2025 (like the AMD Radeon RX 7500) offer basic ray tracing performance.


Professional Tasks: Where the M6100 Still Shines

1. 3D Modeling: In AutoCAD or SolidWorks, the card demonstrates stability thanks to AMD Pro optimized drivers.

2. Video Editing: In Adobe Premiere Pro (using OpenCL), rendering 1080p projects works smoothly, but 4K renders will take time.

3. Scientific Computations: Support for OpenCL allows the M6100 to be used in entry-level machine learning, but its speed is slower than modern GPUs with Tensor Cores or CDNA architecture.

Important: For CUDA tasks (e.g., Blender Cycles), emulation will be required, which reduces efficiency.


Power Consumption and Thermal Management

TDP: 100 W — a high figure for mobile systems.

Cooling:

- Quality ventilation systems are required in laptops.

- External docks with active cooling can prolong the lifespan.

Integration: The card is embedded in the motherboard of laptops (e.g., Dell Precision M4800), so upgrading is not possible.


Comparison with Competitors

- NVIDIA Quadro K5100M (2014): Comparable in performance but better optimized for CUDA.

- AMD Radeon Pro WX 4130 (2017): Built on 14 nm, has lower TDP (50 W), and supports Vulkan.

- Modern equivalents (2025): For example, NVIDIA RTX A2000 Mobile — 3-4 times faster, with support for DLSS 3.0 and RTX.

Conclusion: The M6100 falls behind newer models but is inexpensive on the second-hand market (~$100-150 for workstations).


Practical Tips

1. Power Supply: For a laptop with an M6100, choose models with a power reserve (at least 180 W).

2. Compatibility: Only systems with MXM Type B connectors. Check support on the manufacturer’s website.

3. Drivers: Use AMD Pro Enterprise — they are more stable, although not updated since 2022.


Pros and Cons

Pros:

- Reliability in professional applications.

- Low cost on the second-hand market.

- Good OpenCL support.

Cons:

- High power consumption.

- No support for modern APIs (DX12 Ultimate, Vulkan 1.3).

- Limited gaming performance.


Final Verdict: Who is the FirePro M6100 for?

This graphics card is a choice for:

- Students and enthusiasts looking for an affordable GPU for learning 3D modeling or editing.

- Owners of old workstations wanting to extend the life of their device without significant investment.

- IT specialists working with legacy systems where stability is more important than speed.

For gaming, 4K rendering, or AI tasks, the M6100 is outdated. However, as a “workhorse” in niche scenarios, it still finds applications.


Conclusion:

The AMD FirePro M6100 is an example of a "surviving" professional GPU that, despite the years, remains a useful tool. In 2025, it should only be considered as a budget solution for specific tasks rather than as a foundation for new projects.

Basic

Label Name
AMD
Platform
Mobile
Launch Date
October 2013
Model Name
FirePro M6100
Generation
FirePro Mobile
Bus Interface
MXM-B (3.0)
Transistors
2,080 million
Compute Units
12
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.
48
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 2.0

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.
128bit
Memory Clock
1375MHz
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.
88.00 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.
17.20 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.
51.60 GTexel/s
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.
103.2 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.
1.618 TFLOPS

Miscellaneous

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.
768
L1 Cache
16 KB (per CU)
L2 Cache
256KB
TDP
Unknown
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.
1.2.170
OpenCL Version
2.1
OpenGL
4.6
DirectX
12 (12_0)
Power Connectors
None
Shader Model
6.5
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
1.618 TFLOPS
OpenCL
Score
13395

Compared to Other GPU

FP32 (float) / TFLOPS
1.736 +7.3%
1.567 -3.2%
1.505 -7%
OpenCL
62821 +369%
38843 +190%
21442 +60.1%
884 -93.4%