NVIDIA Quadro K2100M
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA Quadro K2100M Specifications
GPU Core
Shader units and compute resources
The NVIDIA Quadro K2100M 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.
Quadro K2100M Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Quadro K2100M'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 Quadro K2100M by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Quadro K2100M Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Quadro K2100M'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.
Quadro K2100M by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Quadro K2100M, 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.
Quadro K2100M Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Quadro K2100M 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.
Kepler Architecture & Process
Manufacturing and design details
The NVIDIA Quadro K2100M is built on NVIDIA's Kepler 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 Quadro K2100M will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Quadro K2100M 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 Quadro K2100M to maintain boost clocks without throttling.
Quadro K2100M by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Quadro K2100M 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.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA Quadro K2100M. 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.
Quadro K2100M Product Information
Release and pricing details
The NVIDIA Quadro K2100M is manufactured by NVIDIA 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 Quadro K2100M by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA Quadro K2100M
The NVIDIA Quadro K2100M is a mobile workstation GPU built on the Kepler architecture, using the GK106S chip manufactured on a 28 nm process at TSMC. With 576 shading units, 48 texture mapping units, and 16 raster operations pipelines, this end-of-life part targets professional laptops via an MXM Module slot. Its average benchmark score across Geekbench compute tests is 3912, placing it at the 22nd percentile of all GPUs, which indicates a modest performance tier even within its own generation.
Benchmark Performance
The Quadro K2100M delivers an average benchmark score of 3912, derived from three compute tests: Geekbench Metal at 3020, Geekbench OpenCL at 4587, and Geekbench Vulkan at 4128. The OpenCL result is notably higher than the Metal score, reflecting that the Kepler architecture was optimized for general compute workloads rather than Apple’s Metal API, which became prominent later. The Vulkan score sits between the two, showing moderate API efficiency for a GPU from this era.
Against its nearest rivals, the K2100M’s performance is essentially a three-way tie. The AMD Radeon R5 M420 scores 3911, a delta of 0%, meaning the K2100M is statistically identical in average compute performance. The NVIDIA Quadro K2000D scores 3919, putting the K2100M 0.2% behind, a margin that falls within run-to-run variance. The NVIDIA Quadro P1000 scores 3900, placing the K2100M 0.3% ahead, again a negligible difference. The NVIDIA Quadro 2000D scores 3930, which is 0.5% higher than the K2100M, the largest gap among these rivals but still within a single percentage point.
What these tiny deltas reveal is that the K2100M sits in a performance cluster where no single GPU holds a meaningful advantage. The 22nd percentile ranking reinforces this: it is below the median GPU but not at the very bottom. In practical terms, a user moving between any of these four cards would notice no measurable difference in compute-heavy tasks like rendering or simulation, as the maximum spread is only 0.8% between the lowest (P1000 at 3900) and highest (Quadro 2000D at 3930) scores. The K2100M’s 768.4 GFLOPS of FP32 throughput, combined with a pixel rate of 8.004 GPixel/s and a texture rate of 32.02 GTexel/s, provides the raw processing capacity behind these benchmark numbers, though the scores suggest that memory bandwidth—capped at 48.13 GB/s over a 128-bit bus—may be the limiting factor in more complex workloads.
Ray Tracing and Feature Set
The Quadro K2100M does not include any dedicated ray tracing cores or tensor cores, as those hardware units were introduced in later NVIDIA architectures. Instead, this GPU relies on the Kepler design’s general-purpose CUDA cores for all graphics and compute tasks. The absence of RT cores means hardware-accelerated ray tracing is not available on this part, and any ray-traced effects would have to be handled through software fallbacks, which is impractical for real-time use.
The feature set is defined by API support rather than specialized silicon. The K2100M supports DirectX 12 (11_0), which means it can run DirectX 12 titles but only at the 11_0 feature level, lacking certain modern features like bindless resources or conservative rasterization that higher feature levels provide. OpenGL 4.6 is fully supported, offering compatibility with professional CAD and DCC applications that rely on this API. Vulkan 1.2.175 is also supported, giving access to modern cross-platform graphics and compute workloads, though the 28 nm Kepler architecture’s compute performance per watt is far below contemporary parts.
The memory subsystem uses 2 GB of GDDR5 on a 128-bit bus, delivering 48.13 GB/s of bandwidth. This is a modest amount by any standard, and it constrains the GPU in texture-heavy scenes or large data sets. The lack of tensor cores also means no AI-accelerated features like DLSS or neural network-based denoising, which are unavailable on this hardware. For a professional workstation GPU from 2013, the K2100M’s strengths lie in its API breadth and reliable OpenGL performance, not in current-generation graphics features.
Who Should Consider It
Benchmark results indicate that the Quadro K2100M is suitable for legacy professional applications where the workload aligns with its compute profile. Given its 22nd percentile ranking and average score of 3912, this GPU is not designed for high-resolution gaming or demanding 3D rendering at modern settings. Instead, it fits scenarios where the software is older and the performance requirements are modest.
For 1080p resolution with low to medium settings in games released around its 2013 launch era, the K2100M can manage playable frame rates, though the 2 GB VRAM and 48.13 GB/s bandwidth will struggle with larger textures. In professional contexts, the OpenGL 4.6 support makes it viable for basic CAD modeling, 2D drafting, or spreadsheet-style visualization tasks in applications like AutoCAD or SolidWorks, provided the models are not overly complex. The Vulkan 1.2.175 support also allows it to run some modern compute workloads, but the 768.4 GFLOPS FP32 performance limits it to light simulation or data processing tasks.
Users who need to run software that requires DirectX 11_0 features specifically will find this GPU compatible, but those needing DirectX 12 Ultimate features or ray tracing should look elsewhere. The K2100M is a poor choice for any task involving machine learning inference, as it lacks tensor cores entirely. In summary, this GPU serves as a baseline workstation part for legacy software, not as a performer for contemporary workloads.
FAQ
Q: What is the average benchmark score of the Quadro K2100M?
A: The average benchmark score is 3912, based on Geekbench Metal (3020), OpenCL (4587), and Vulkan (4128) tests.
Q: How does the K2100M compare to the AMD Radeon R5 M420?
A: The Radeon R5 M420 scores 3911, which is a 0% delta from the K2100M, meaning they have statistically identical average performance.
Q: Does the K2100M support hardware ray tracing?
A: No, the K2100M has no ray tracing cores, so hardware-accelerated ray tracing is not supported; it relies on software fallbacks for such effects.
Q: What is the memory configuration of this GPU?
A: It has 2 GB of GDDR5 memory on a 128-bit bus, providing 48.13 GB/s of bandwidth.
Q: Which APIs are supported by the K2100M?
A: It supports DirectX 12 (11_0), OpenGL 4.6, and Vulkan 1.2.175.
Q: What is the GPU’s percentile ranking among all GPUs?
A: The K2100M ranks at the 22nd percentile, indicating it performs below most GPUs in the benchmark database.
How It Compares
AMD Radeon R5 M420: This rival scores 3911, exactly matching the K2100M’s 3912 within a 0% delta. Both GPUs deliver identical compute performance in average benchmarks, making them interchangeable for most tasks. The R5 M420 is a low-end mobile part, and the K2100M matches it despite being older, which shows the Kepler architecture’s staying power in compute workloads.
NVIDIA Quadro K2000D: Scoring 3919, the K2000D is 0.2% ahead of the K2100M. This is a negligible difference, within normal benchmark variation, so users would not perceive any real-world gap. Both are professional cards from the same era, and their scores reflect a near-identical performance ceiling.
NVIDIA Quadro P1000: The P1000 scores 3900, placing it 0.3% behind the K2100M. Despite being a newer generation, the P1000 does not outperform the older K2100M in these compute tests. This suggests that the K2100M’s Kepler design still holds its own against a Pascal-based successor in raw throughput, though power efficiency would favor the P1000 in sustained workloads.
NVIDIA Quadro 2000D: With a score of 3930, the Quadro 2000D leads this group by 0.5% over the K2100M. This is the largest delta among the nearest rivals, but still far too small to matter in practical use. The 2000D’s slight edge likely comes from a more favorable memory configuration, though both GPUs remain in the same performance tier.
Detailed benchmark scores and charts for the NVIDIA Quadro K2100M are below.
Benchmark Scores
geekbench_metalSource
Geekbench Metal tests GPU compute using Apple's Metal API. This shows how NVIDIA Quadro K2100M performs in macOS and iOS applications that leverage GPU acceleration.
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA Quadro K2100M handles parallel computing tasks like video encoding and scientific simulations. OpenCL is widely supported across different GPU vendors and platforms. Higher scores benefit applications that leverage GPU acceleration for non-graphics workloads.
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA Quadro K2100M performs with next-generation graphics and compute workloads.
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