NVIDIA Quadro 6000 vs Tesla C2075
Theoretical performance comparison
Real-world game, 3D graphics and compute performance depends on several essential GPU parameters, including pixel fillrate, texture fillrate, memory bandwidth, along with single- and double-precision performance. Below we explain why they are important and which card has better specs.
Pixel fill rate (gigapixels/s)
40 32 24 16 8 0 |
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Higher is better
Since both graphics units have the same number of ROPs and the Tesla C2075 GPU has higher operating frequency, its pixel fillrate is a bit higher. Better maximum pixel fill rate allows more pixels to be drawn on screen per second, and is an indication of better card performance, unless there are bottlenecks in other areas, such as memory bandwidth or texture mapping.
- NVIDIA Quadro 6000
- NVIDIA Tesla C2075
Texture fill rate (gigatexels/s)
40 32 24 16 8 0 |
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Higher is better
In modern games, pixel fillrate is not as important as texture fill rate. This parameter is proportional to graphics clock and the number of TMUs (Texture Mapping Units). The Tesla C2075 has a no lead here, as it operates at slightly higher frequency, and both cards have the same number of TMUs. Better maximum texture fill rate means that the GPU can use more complex 3D effects and/or map more textures to each texel, which improves visual appearance of games and generated images.
Single Precision performance (GFLOPS)
2000 1600 1200 800 400 0 |
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Higher is better
Single Precision performance shows how fast the graphics card is at running programs, that process primarily single-precision floating point data. The performance is expressed in GFLOPS or billions of Floating Point Operations Per Second. Generally, the faster stream processors or CUDA cores operate at, and the more cores / processors the graphics card has, the higher Single Precision performance will be. The NVIDIA Tesla C2075 is insignificantly faster here. Higher single-precision performance number means the graphics card will perform better in general computing applications. Since CUDA cores or stream processors are also used as vertex and geometry shaders for 3D image generation, higher performance is also beneficial to games.
Double Precision performance (GFLOPS)
600 480 360 240 120 0 |
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Higher is better
Maximum Double Precision performance is similar to the Single Precision performance, except that it applies to double-precision (64-bit) floating point operations. Games do not use double-precision arithmetics, therefore this characteristic is unimportant to their performance. The Tesla C2075 graphics card has an upper hand here.
- NVIDIA Quadro 6000
- NVIDIA Tesla C2075
Memory bandwidth (GB/s)
200 160 120 80 40 0 |
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Higher is better
Memory bandwidth of GPUs is identical.
Specs comparison
All rows with different specifications or features are highlighted.
General information | ||
Market segment | Desktop / Server | HPC / Server |
Manufacturer | NVIDIA | |
Model | Quadro 6000 | Tesla C2075 |
Architecture / Interface | ||
Die name | ||
Architecture | ||
Fabrication process | ||
Bus interface | ||
Cores / shaders | ||
CUDA cores | ||
ROPs | ||
Pixel fill rate | ||
Texture units | ||
Texture fill rate | ||
Single Precision performance | ||
Double Precision performance | ||
Clocks / Memory | ||
Graphics clock | 574 MHz | 575 MHz |
Processor clock | 1148 MHz | 1150 MHz |
Memory size | 6144 MB | |
Memory type | GDDR5 | |
Memory clock | ||
Memory interface width | ||
Memory bandwidth | ||
Other features | ||
Maximum power |
Better values / features are marked with green color, and worse values are in red color.
Detailed specifications:
Compare graphics cards
More comparisons
Compare NVIDIA Quadro 6000:
Compare NVIDIA Tesla C2075: