NVIDIA Quadro K6000
NVIDIA graphics card specifications and benchmark scores
NVIDIA Quadro K6000 Specifications
Quadro K6000 GPU Core
Shader units and compute resources
The NVIDIA Quadro K6000 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 K6000 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the Quadro K6000'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 K6000 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's Quadro K6000 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The Quadro K6000'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 K6000 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the Quadro K6000, 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 K6000 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA Quadro K6000 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 K6000 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 K6000 will perform in GPU benchmarks compared to previous generations.
NVIDIA's Quadro K6000 Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA Quadro K6000 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 K6000 to maintain boost clocks without throttling.
Quadro K6000 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA Quadro K6000 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 K6000. 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 K6000 Product Information
Release and pricing details
The NVIDIA Quadro K6000 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 K6000 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
Quadro K6000 Benchmark Scores
geekbench_metalSource
Geekbench Metal tests GPU compute using Apple's Metal API. This shows how NVIDIA Quadro K6000 performs in macOS and iOS applications that leverage GPU acceleration. Metal provides low-overhead access to Apple silicon GPUs.
geekbench_openclSource
Geekbench OpenCL tests GPU compute performance using the cross-platform OpenCL API. This shows how NVIDIA Quadro K6000 handles parallel computing tasks like video encoding and scientific simulations.
geekbench_vulkanSource
Geekbench Vulkan tests GPU compute using the modern low-overhead Vulkan API. This shows how NVIDIA Quadro K6000 performs with next-generation graphics and compute workloads. Vulkan offers better CPU efficiency than older APIs like OpenGL.
About NVIDIA Quadro K6000
The NVIDIA Quadro K6000 graphics card stands out as a robust solution for professional workstations, delivering exceptional value through its 12GB of GDDR5 VRAM that handles demanding visualization and simulation tasks with ease. Launched in 2013 at a premium price of $5,265, it positioned itself firmly in the high-end professional graphics market, targeting architects, engineers, and media professionals who require reliable performance for complex CAD and rendering workflows. Its Kepler architecture on a 28nm process ensures efficient power usage at a 225W TDP, making it a benchmark leader in its era with Geekbench Vulkan scores reaching 25,394 points for superior graphics compute. For corporate buyers seeking long-term investment, the NVIDIA Quadro K6000 graphics card offers impressive longevity, supported by NVIDIA's driver ecosystem that continues to receive updates even years after release. In benchmark comparisons, its OpenCL performance of 23,944 points underscores its capability for parallel computing in scientific applications, providing a competitive edge over consumer-grade cards. Market positioning highlights its PCIe 3.0 x16 interface, which integrates seamlessly into enterprise systems without bottlenecks, ensuring scalability for growing workloads.
Building on its value proposition, the NVIDIA Quadro K6000 graphics card excels in environments where precision and stability are paramount, with a base clock of 797 MHz boosting to 902 MHz for sustained performance under load. Corporate audiences will appreciate its positioning as a workhorse for multi-monitor setups and virtual reality prototyping, backed by benchmark data that demonstrates reliability across diverse professional software suites. Longevity is further evidenced by its enduring compatibility with modern operating systems, allowing businesses to extend hardware lifecycles and reduce total cost of ownership. For optimal pairing suggestions, consider combining it with Intel Xeon processors for balanced compute power in engineering simulations, or AMD Threadripper for enhanced multi-threading in content creation pipelines. Benchmark Metal scores of 7,932 points indicate strong cross-platform potential, particularly in macOS-based creative workflows. Overall, this card's integration into server-grade motherboards enhances data center visualization, making it a strategic choice for forward-thinking enterprises.
- Pair with Intel Core i7 or Xeon for CAD and 3D modeling efficiency.
- Combine with 32GB+ RAM to maximize 12GB VRAM utilization in rendering tasks.
- Integrate into dual-socket systems for collaborative engineering environments.
- Match with SSD storage arrays to accelerate data-intensive simulations.
- Utilize alongside high-resolution displays for immersive design reviews.
- Enhance with NVIDIA Mosaic technology for multi-monitor professional setups.
The AMD Equivalent of Quadro K6000
Looking for a similar graphics card from AMD? The AMD Radeon RX 480 offers comparable performance and features in the AMD lineup.
Popular NVIDIA Quadro K6000 Comparisons
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