NVIDIA Tesla PG500 216 vs NVIDIA Quadro P4200 Mobile

VS

NVIDIA Tesla PG500 216

NVIDIA Quadro P4200 Mobile

We compared two Professional market GPUs: 32GB VRAM Tesla PG500 216 and 8GB VRAM Quadro P4200 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla PG500 216 's Advantages

Released 1 years and 9 months late

More VRAM (32GB vs 8GB)

Larger VRAM bandwidth (1133GB/s vs 192.3GB/s)

2816 additional rendering cores

NVIDIA Quadro P4200 Mobile 's Advantages

Boost Clock has increased by 19% (1647MHz vs 1380MHz)

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Tesla PG500 216 +86%

14.13 TFLOPS

Quadro P4200 Mobile

7.589 TFLOPS

Tesla PG500 216

VS

Quadro P4200 Mobile

Graphics Card

Nov 2019

Release Date

Feb 2018

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

1260 MHz

Base Clock

1227 MHz

1380 MHz

Boost Clock

1647 MHz

1106 MHz

Memory Clock

1502 MHz

Memory

32GB

Memory Size

8GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

1133GB/s

Bandwidth

192.3GB/s

Render Config

-

80

SM Count

18

5120

Shading Units

2304

320

TMUs

144

128

ROPs

64

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SM)

6 MB

L2 Cache

2 MB

-

Theoretical Performance

176.6 GPixel/s

Pixel Rate

105.4 GPixel/s

441.6 GTexel/s

Texture Rate

237.2 GTexel/s

28.26 TFLOPS

FP16 (half)

118.6 GFLOPS

14.13 TFLOPS

FP32 (float)

7.589 TFLOPS

7.066 TFLOPS

FP64 (double)

237.2 GFLOPS

Board Design

250W

TDP

100W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

GV100

GPU Name

GP104

-

Volta

Architecture

Pascal

TSMC

Foundry

TSMC

12 nm

Process Size

16 nm

21.1 billion

Transistors

7.2 billion

815 mm²

Die Size

314 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

7.0

CUDA

6.1

6.6

Shader Model

6.4

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