NVIDIA Tesla K20Xm vs NVIDIA Quadro M5000M

VS

We compared two Professional market GPUs: 6GB VRAM Tesla K20Xm and 8GB VRAM Quadro M5000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla K20Xm 's Advantages

Larger VRAM bandwidth (249.6GB/s vs 160.4GB/s)

1152 additional rendering cores

NVIDIA Quadro M5000M 's Advantages

Released 2 years and 9 months late

More VRAM (8GB vs 6GB)

Lower TDP (100W vs 235W)

Score

Benchmark

FP32 (float)

Tesla K20Xm +31%

3.935 TFLOPS

Quadro M5000M

2.995 TFLOPS

Blender

Tesla K20Xm +35%

372

Quadro M5000M

275

OctaneBench

Tesla K20Xm +3%

63

Quadro M5000M

61

Tesla K20Xm

VS

Quadro M5000M

Graphics Card

Nov 2012

Release Date

Aug 2015

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

-

Base Clock

-

Boost Clock

-

1300 MHz

Memory Clock

1253 MHz

Memory

6GB

Memory Size

8GB

GDDR5

Memory Type

GDDR5

384bit

Memory Bus

256bit

249.6GB/s

Bandwidth

160.4GB/s

Render Config

-

SM Count

-

Compute Units

-

2688

Shading Units

1536

224

TMUs

96

48

ROPs

64

-

Tensor Cores

-

RT Cores

-

16 KB (per SMX)

L1 Cache

48 KB (per SMM)

1536 KB

L2 Cache

2 MB

Theoretical Performance

40.99 GPixel/s

Pixel Rate

62.40 GPixel/s

164.0 GTexel/s

Texture Rate

93.60 GTexel/s

-

FP16 (half)

-

3.935 TFLOPS

FP32 (float)

2.995 TFLOPS

1312 GFLOPS

FP64 (double)

93.60 GFLOPS

Graphics Processor

GK110

GPU Name

GM204

-

GPU Variant

N16E-Q5-A1

Kepler

Architecture

Maxwell 2.0

TSMC

Foundry

TSMC

28 nm

Process Size

28 nm

7.08 billion

Transistors

5.2 billion

561 mm²

Die Size

398 mm²

Board Design

235W

TDP

100W

550 W

Suggested PSU

-

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.5

CUDA

5.2

5.1

Shader Model

6.4

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