NVIDIA Quadro K5100M vs NVIDIA Tesla C2090
We compared two Professional market GPUs: 8GB VRAM Quadro K5100M and 6GB VRAM Tesla C2090 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.
Main Differences
NVIDIA Quadro K5100M 's Advantages
Released 2 years late
Boost Clock771MHz
More VRAM (8GB vs 6GB)
1024 additional rendering cores
Lower TDP (100W vs 250W)
NVIDIA Tesla C2090 's Advantages
Larger VRAM bandwidth (177.4GB/s vs 115.2GB/s)
Score
Benchmark
FP32 (float)
Quadro K5100M
+77%
2.369 TFLOPS
Tesla C2090
1.332 TFLOPS
Graphics Card
Jul 2013
Release Date
Jul 2011
Quadro Mobile
Generation
Tesla
Professional
Type
Professional
MXM-B (3.0)
Bus Interface
PCIe 2.0 x16
Clock Speeds
771 MHz
Base Clock
-
771 MHz
Boost Clock
-
900 MHz
Memory Clock
924 MHz
Memory
8GB
Memory Size
6GB
GDDR5
Memory Type
GDDR5
256bit
Memory Bus
384bit
115.2GB/s
Bandwidth
177.4GB/s
Render Config
-
-
-
-
SM Count
16
1536
Shading Units
512
128
TMUs
64
32
ROPs
48
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
64 KB (per SM)
512 KB
L2 Cache
768 KB
-
-
-
Theoretical Performance
24.67 GPixel/s
Pixel Rate
20.83 GPixel/s
98.69 GTexel/s
Texture Rate
41.66 GTexel/s
-
-
-
2.369 TFLOPS
FP32 (float)
1332 GFLOPS
98.69 GFLOPS
FP64 (double)
666.1 GFLOPS
Board Design
100W
TDP
250W
-
Suggested PSU
600 W
No outputs
Outputs
No outputs
-
-
-
Graphics Processor
GK104
GPU Name
GF110
N15E-Q5-A2
GPU Variant
-
Kepler
Architecture
Fermi 2.0
TSMC
Foundry
TSMC
28 nm
Process Size
40 nm
3.54 billion
Transistors
3 billion
294 mm²
Die Size
520 mm²
Graphics Features
12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
1.1
1.1
Vulkan
N/A
3.0
CUDA
2.0
5.1
Shader Model
5.1
