NVIDIA Quadro K5000M vs NVIDIA Tesla P100 SXM2

VS

NVIDIA Quadro K5000M

NVIDIA Tesla P100 SXM2

We compared two Professional market GPUs: 4GB VRAM Quadro K5000M and 16GB VRAM Tesla P100 SXM2 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K5000M 's Advantages

Lower TDP (100W vs 300W)

NVIDIA Tesla P100 SXM2 's Advantages

Released 3 years and 8 months late

Boost Clock1480MHz

More VRAM (16GB vs 4GB)

Larger VRAM bandwidth (732.2GB/s vs 96.00GB/s)

2240 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro K5000M

1.615 TFLOPS

Tesla P100 SXM2 +556%

10.61 TFLOPS

Quadro K5000M

VS

Tesla P100 SXM2

Graphics Card

Aug 2012

Release Date

Apr 2016

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-B (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

1328 MHz

-

Boost Clock

1480 MHz

750 MHz

Memory Clock

715 MHz

Memory

4GB

Memory Size

16GB

GDDR5

Memory Type

HBM2

256bit

Memory Bus

4096bit

96.00GB/s

Bandwidth

732.2GB/s

Render Config

-

SM Count

56

1344

Shading Units

3584

112

TMUs

224

32

ROPs

96

-

16 KB (per SMX)

L1 Cache

24 KB (per SM)

512 KB

L2 Cache

4 MB

-

Theoretical Performance

16.83 GPixel/s

Pixel Rate

142.1 GPixel/s

67.31 GTexel/s

Texture Rate

331.5 GTexel/s

-

FP16 (half)

21.22 TFLOPS

1.615 TFLOPS

FP32 (float)

10.61 TFLOPS

67.31 GFLOPS

FP64 (double)

5.304 TFLOPS

Board Design

100W

TDP

300W

-

Suggested PSU

700 W

No outputs

Outputs

No outputs

-

Power Connectors

None

Graphics Processor

GK104

GPU Name

GP100

N14E-Q5-A2

GPU Variant

GP100-890-A1

Kepler

Architecture

Pascal

TSMC

Foundry

TSMC

28 nm

Process Size

16 nm

3.54 billion

Transistors

15.3 billion

294 mm²

Die Size

610 mm²

Graphics Features

12 (11_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.1

Vulkan

1.3

3.0

CUDA

6.0

5.1

Shader Model

6.4

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