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
 
 
27.6
 
27.6
 
 
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
 
 
32.1
 
32.2
 
 
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
 
 
1029
 
1030
 
 
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
 
 
514
 
515
 
 
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
 
 
144
 
144
 
 
Higher is better
Memory bandwidth of GPUs is identical.

Specs comparison

All rows with different specifications or features are highlighted.

General information

Market segmentDesktop / ServerHPC / Server
ManufacturerNVIDIA
ModelQuadro 6000Tesla 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 clock574 MHz575 MHz
Processor clock1148 MHz1150 MHz
Memory size6144 MB
Memory typeGDDR5
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:

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