AMD FirePro M6100
AMD graphics card specifications and benchmark scores
At a Glance
AMDAMD FirePro M6100 Specifications
GPU Core
Shader units and compute resources
The AMD FirePro M6100 GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
FirePro M6100 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the FirePro M6100's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The FirePro M6100 by AMD dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
AMD's FirePro M6100 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The FirePro M6100's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
FirePro M6100 by AMD Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the FirePro M6100, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
FirePro M6100 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the AMD FirePro M6100 against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
GCN 2.0 Architecture & Process
Manufacturing and design details
The AMD FirePro M6100 is built on AMD's GCN 2.0 architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the FirePro M6100 will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the AMD FirePro M6100 determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the FirePro M6100 to maintain boost clocks without throttling.
FirePro M6100 by AMD Physical & Connectivity
Dimensions and outputs
Physical dimensions of the AMD FirePro M6100 are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
AMD API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the AMD FirePro M6100. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
FirePro M6100 Product Information
Release and pricing details
The AMD FirePro M6100 is manufactured by AMD as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the FirePro M6100 by AMD represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About AMD FirePro M6100
The AMD FirePro M6100 is a mobile workstation graphics solution built on the GCN 2.0 architecture, fabricated on a 28 nm process at TSMC. Its single OpenCL benchmark result of 13012 points places it at the 52nd percentile of all GPUs, indicating a mid-pack position that is competitive with several notable desktop and mobile parts from the same era. This analysis breaks down that score, its feature set, and its positioning against its nearest rivals to provide a clear picture of its capabilities.
Who Should Consider It
The FirePro M6100 is a suitable option for users working within a mobile workstation environment who require a baseline level of GPU compute for professional applications, but whose tasks do not demand the absolute highest performance available. The benchmark data shows a score of 13012 in Geekbench OpenCL, which is a measure of general-purpose compute performance. For a user engaged in tasks like 3D modeling, CAD, or light video editing on the go, this score indicates a capable foundation for handling moderate workloads. The 2 GB of VRAM and 128-bit memory bus suggest that its primary strength lies in applications that are not heavily constrained by memory capacity, making it more appropriate for 1080p resolution workflows rather than high-resolution texture-heavy tasks at 4K.
Given its performance tier, the FirePro M6100 is best considered for users who prioritize a balance of portability and professional-grade features over raw gaming or rendering speed. Its performance is closely matched with the NVIDIA Tesla M2090, suggesting it can handle similar compute loads, but its mobile form factor makes it a distinct choice for on-site work. For users whose primary concern is the highest possible frame rates in demanding games or rapid rendering times, the data suggests that this GPU would be a limiting factor. However, for a professional who needs a reliable, portable workstation GPU for tasks like simulation, analysis, and light rendering, the FirePro M6100's compute score of 13012 demonstrates that it is a viable, if not advanced, option.
The 52nd percentile ranking reinforces this interpretation. It means that roughly half of all GPUs in the benchmark database perform better, and half perform worse. This positions the FirePro M6100 as a solid mainstream performer for its generation, not a high-end enthusiast part. Users should be comfortable running their applications at standard settings and resolutions, such as 1920x1080, where the 96.00 GB/s of memory bandwidth can be effectively utilized without becoming a severe bottleneck. It is less well-suited for users who plan to work with extremely large datasets or multi-display 4K setups, where the 2 GB VRAM capacity would likely be insufficient.
How It Compares
The FirePro M6100's nearest rivals in the benchmark database are a mix of professional and consumer parts, and the delta percentages reveal a very tight performance cluster. The data shows that this GPU sits within a 1% performance band of all four listed rivals, which is a key takeaway for understanding its competitive standing.
Against the NVIDIA Tesla M2090, the FirePro M6100 scores 13012 versus 13075, a delta of -0.5%. This indicates that the two are virtually identical in compute performance. This is notable because the Tesla M2090 is a high-end server-oriented card, while the FirePro M6100 is a mobile part, highlighting the efficiency of the GCN 2.0 architecture in delivering comparable compute throughput in a more power-constrained form factor.
Comparing to the NVIDIA GeForce RTX 3050 Ti Mobile, the FirePro M6100 holds a slight edge with a delta of 0.6% (13012 vs 12940). This is a surprising result given the generational gap, but it suggests that for raw OpenCL compute tasks, the older FirePro part is not outclassed. This indicates that its compute capabilities remain relevant for certain workloads, even when compared to a much newer mobile GPU.
The comparison with the NVIDIA GeForce MX350 shows the FirePro M6100 trailing by a marginal 0.6% (13012 vs 13095). The MX350 is a low-power consumer laptop GPU, and the near-identical scores suggest that the professional FirePro M6100 and the consumer MX350 offer similar raw compute performance. This highlights that while the FirePro's value lies in its driver and feature set, its raw processing power is on par with entry-level consumer parts.
Finally, against the NVIDIA Quadro P5000, a powerful professional desktop card, the FirePro M6100 comes out 1% ahead with a score of 13012 versus 12880. This is a significant finding, as it shows the mobile FirePro M6100 outperforming a much larger and more expensive professional desktop GPU in this specific compute benchmark. This strongly suggests that the OpenCL test favors the FirePro's architecture, or that the Quadro P5000's performance is more geared towards other types of workloads.
Ray Tracing and Feature Set
The FirePro M6100 does not include dedicated ray tracing or tensor cores, as its architecture predates the introduction of these hardware features. The fact pack lists no figures for `rtCores` or `tensorCores`, confirming their absence. This means the GPU relies on traditional rasterization and compute shaders for rendering graphics. For users working with ray-traced content, this GPU would not provide hardware acceleration, and any such tasks would be handled through less efficient software paths, resulting in significantly slower performance.
In terms of API support, the FirePro M6100 is equipped to handle a range of modern graphics interfaces. It supports DirectX 12 (12_0), which is the foundational API for modern Windows gaming and many professional applications. It also supports OpenGL 4.6, ensuring broad compatibility with a wide range of professional software that relies on this API. For Vulkan, it supports version 1.2.170, which provides access to modern, low-overhead graphics and compute features. This combination of API support ensures that the GPU is not entirely obsolete from a software compatibility standpoint, even if it lacks the hardware features of newer generations. The architecture is GCN 2.0, which was AMD's second iteration of its Graphics Core Next design, a compute-oriented architecture that explains its strong OpenCL benchmark performance.
Power and Cooling
The fact pack does not provide a specific TDP (Thermal Design Power) figure for the FirePro M6100, nor does it list a suggested PSU (Power Supply Unit). However, it specifies that the GPU is an MXM Module with an MXM-B (3.0) bus interface. This form factor is critical for power considerations, as it is designed for mobile workstations and relies on the host laptop's cooling solution and power delivery system. The absence of power connectors, listed as "None", is consistent with this design, as the module draws all its power from the MXM slot on the motherboard.
Because it is a mobile part, users do not need to consider a desktop PSU. Instead, the power and cooling requirements are dictated by the laptop chassis it is installed in. The lack of a TDP figure suggests that power draw is intended to be managed by the system's firmware and cooling design. When upgrading or replacing such a module, it is essential to ensure the laptop's cooling system is adequate to handle the GPU's heat output, as the module itself has no dedicated cooler. The "Portable Device Dependent" display output further confirms that the entire supporting infrastructure is specific to the host system.
FAQ
Q: How does the AMD FirePro M6100's performance compare to the NVIDIA Quadro P5000?
A: In the Geekbench OpenCL benchmark, the FirePro M6100 scores 13012, which is 1% higher than the Quadro P5000's score of 12880. This indicates that the FirePro M6100 has a slight advantage in this particular compute test.
Q: Does the FirePro M6100 support hardware-accelerated ray tracing?
A: No. The fact pack lists no ray tracing cores for this GPU, indicating that it lacks the dedicated hardware for accelerated ray tracing found in newer graphics cards.
Q: What is the memory bandwidth of the FirePro M6100?
A: The GPU has a 128-bit memory bus and uses GDDR5 memory operating at 1500 MHz (6 Gbps effective). This configuration provides a total memory bandwidth of 96.00 GB/s.
Q: Is the FirePro M6100 a good choice for a desktop PC build?
A: No, it is not. The FirePro M6100 is designed as an MXM Module with an MXM-B (3.0) bus interface, which is a form factor intended for mobile workstations, not standard desktop motherboards.
Q: What is the FirePro M6100's performance percentile compared to all other GPUs?
A: The benchmark data places the FirePro M6100 at the 52nd percentile of all GPUs. This means it performs better than 52% of the GPUs in the database and worse than the other 48%.
Q: What generation of FirePro mobile products does this GPU belong to?
A: According to the data, it is part of the FirePro Mobile (Mx100) generation. Its predecessor is listed as FirePro Mobility, and its successor is Radeon Pro Mobile.
Memory Subsystem
The AMD FirePro M6100 is equipped with 2 GB of GDDR5 memory, which is a standard capacity for a professional mobile GPU of its generation. The memory operates at a speed of 1500 MHz, translating to an effective data rate of 6 Gbps. This is paired with a 128-bit memory bus, which is a common width for mid-range mobile parts. The combination of these factors yields a total memory bandwidth of 96.00 GB/s.
This bandwidth figure is a crucial indicator of the GPU's performance ceiling in memory-intensive tasks. A 96.00 GB/s bandwidth is adequate for 1080p gaming and many professional workloads, but it can become a limiting factor at higher resolutions like 1440p or 4K, where the GPU must fetch significantly more texture and geometry data. The 2 GB capacity is also a consideration; while sufficient for many applications, modern professional software and games can easily exceed this limit, leading to potential stuttering or the need to reduce texture quality. The benchmark score of 13012 in OpenCL suggests that the compute units are capable of processing data faster than the memory subsystem can feed them in some scenarios, making the memory bandwidth a potential bottleneck. Compared to its nearest rivals, this memory configuration is typical for its performance class, as evidenced by its very close benchmark scores with the Tesla M2090 and GeForce MX350. For users working with high-resolution assets, the memory subsystem is the primary constraint to be aware of.
Detailed benchmark scores and charts for the AMD FirePro M6100 are below.
Benchmark Scores
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how AMD FirePro M6100 handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms.
Top 5 Performers
Top 5 PerformersNearby Performers
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