NVIDIA Quadro M2200 Mobile vs NVIDIA Tesla PG500 216

VS

NVIDIA Quadro M2200 Mobile

NVIDIA Tesla PG500 216

We compared two Professional market GPUs: 4GB VRAM Quadro M2200 Mobile and 32GB VRAM Tesla PG500 216 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro M2200 Mobile 's Advantages

Lower TDP (55W vs 250W)

NVIDIA Tesla PG500 216 's Advantages

Released 2 years and 10 months late

Boost Clock has increased by 33% (1380MHz vs 1036MHz)

More VRAM (32GB vs 4GB)

Larger VRAM bandwidth (1133GB/s vs 88.13GB/s)

4096 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro M2200 Mobile

2.122 TFLOPS

Tesla PG500 216 +565%

14.13 TFLOPS

Quadro M2200 Mobile

VS

Tesla PG500 216

Graphics Card

Jan 2017

Release Date

Nov 2019

Quadro Mobile

Generation

Tesla

Professional

Type

Professional

MXM-A (3.0)

Bus Interface

PCIe 3.0 x16

Clock Speeds

695 MHz

Base Clock

1260 MHz

1036 MHz

Boost Clock

1380 MHz

1377 MHz

Memory Clock

1106 MHz

Memory

4GB

Memory Size

32GB

GDDR5

Memory Type

HBM2

128bit

Memory Bus

4096bit

88.13GB/s

Bandwidth

1133GB/s

Render Config

-

SM Count

80

1024

Shading Units

5120

64

TMUs

320

32

ROPs

128

-

Tensor Cores

640

-

48 KB (per SMM)

L1 Cache

128 KB (per SM)

1024 KB

L2 Cache

6 MB

-

Theoretical Performance

33.15 GPixel/s

Pixel Rate

176.6 GPixel/s

66.30 GTexel/s

Texture Rate

441.6 GTexel/s

-

FP16 (half)

28.26 TFLOPS

2.122 TFLOPS

FP32 (float)

14.13 TFLOPS

66.30 GFLOPS

FP64 (double)

7.066 TFLOPS

Board Design

55W

TDP

250W

-

Suggested PSU

600 W

No outputs

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

GM206

GPU Name

GV100

-

Maxwell 2.0

Architecture

Volta

TSMC

Foundry

TSMC

28 nm

Process Size

12 nm

2.94 billion

Transistors

21.1 billion

228 mm²

Die Size

815 mm²

Graphics Features

12 (12_1)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

5.2

CUDA

7.0

6.4

Shader Model

6.6

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