NVIDIA Quadro K500M vs NVIDIA Tesla K20s

VS

We compared two Professional market GPUs: 1024MB VRAM Quadro K500M and 5GB VRAM Tesla K20s to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K500M 's Advantages

Lower TDP (35W vs 225W)

NVIDIA Tesla K20s 's Advantages

Released 8 months late

More VRAM (5GB vs 1GB)

Larger VRAM bandwidth (208.0GB/s vs 12.80GB/s)

2304 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K500M

0.326 TFLOPS

Tesla K20s +780%

2.87 TFLOPS

Quadro K500M

VS

Tesla K20s

Graphics Card

Jun 2012

Release Date

Feb 2013

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 2.0 x16

Clock Speeds

-

Base Clock

-

Boost Clock

-

800 MHz

Memory Clock

1300 MHz

Memory

1024MB

Memory Size

5GB

DDR3

Memory Type

GDDR5

64bit

Memory Bus

320bit

12.80GB/s

Bandwidth

208.0GB/s

Render Config

-

SM Count

-

Compute Units

-

192

Shading Units

2496

16

TMUs

208

8

ROPs

40

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

16 KB (per SMX)

128 KB

L2 Cache

1280 KB

Theoretical Performance

3.400 GPixel/s

Pixel Rate

29.90 GPixel/s

13.60 GTexel/s

Texture Rate

119.6 GTexel/s

-

FP16 (half)

-

326.4 GFLOPS

FP32 (float)

2.870 TFLOPS

13.60 GFLOPS

FP64 (double)

956.8 GFLOPS

Graphics Processor

GK107

GPU Name

GK110

N14M-Q1

GPU Variant

-

Kepler

Architecture

Kepler

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

1.27 billion

Transistors

7.08 billion

118 mm²

Die Size

561 mm²

Board Design

35W

TDP

225W

-

Suggested PSU

550 W

No outputs

Outputs

No outputs

-

Power Connectors

-

Graphics Features

12 (11_0)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.1

3.0

CUDA

3.5

5.1

Shader Model

5.1

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