Home GPU Comparison NVIDIA Tesla K20c vs NVIDIA Quadro K500M

NVIDIA Tesla K20c vs NVIDIA Quadro K500M

We compared two Professional market GPUs: 5GB VRAM Tesla K20c and 1024MB VRAM Quadro K500M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20c 's Advantages
More VRAM (5GB vs 1024GB)
Larger VRAM bandwidth (208.0GB/s vs 12.80GB/s)
2304 additional rendering cores
NVIDIA Quadro K500M 's Advantages
Lower TDP (35W vs 225W)

Score

Benchmark

FP32 (float)
Tesla K20c +980%
3.524 TFLOPS
Quadro K500M
0.326 TFLOPS
VS

Graphics Card

Nov 2012
Release Date
Jun 2012
Tesla
Generation
Quadro Mobile
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
MXM-A (3.0)

Clock Speeds

-
-
-
-
-
-
1300 MHz
Memory Clock
800 MHz

Memory

5GB
Memory Size
1024MB
GDDR5
Memory Type
DDR3
320bit
Memory Bus
64bit
208.0GB/s
Bandwidth
12.80GB/s

Render Config

-
-
-
-
-
-
2496
Shading Units
192
208
TMUs
16
40
ROPs
8
-
-
-
-
-
-
16 KB (per SMX)
L1 Cache
16 KB (per SMX)
1280 KB
L2 Cache
128 KB
-
-
-

Theoretical Performance

36.71 GPixel/s
Pixel Rate
3.400 GPixel/s
146.8 GTexel/s
Texture Rate
13.60 GTexel/s
-
-
-
3.524 TFLOPS
FP32 (float)
326.4 GFLOPS
1175 GFLOPS
FP64 (double)
13.60 GFLOPS

Board Design

225W
TDP
35W
550 W
Suggested PSU
-
No outputs
Outputs
No outputs
1x 6-pin + 1x 8-pin
Power Connectors
-

Graphics Processor

GK110
GPU Name
GK107
GK110-885-KA-A1
GPU Variant
N14M-Q1
Kepler
Architecture
Kepler
TSMC
Foundry
TSMC
28 nm
Process Size
28 nm
7.08 billion
Transistors
1.27 billion
561 mm²
Die Size
118 mm²

Graphics Features

12 (11_0)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.1
3.5
CUDA
3.0
5.1
Shader Model
5.1

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