NVIDIA Tesla V100 PCIe 32 GB vs NVIDIA Quadro P620 Mobile

VS

NVIDIA Tesla V100 PCIe 32 GB

NVIDIA Quadro P620 Mobile

We compared two Professional market GPUs: 32GB VRAM Tesla V100 PCIe 32 GB and 4GB VRAM Quadro P620 Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 PCIe 32 GB 's Advantages

More VRAM (32GB vs 4GB)

Larger VRAM bandwidth (897.0GB/s vs 96.13GB/s)

4608 additional rendering cores

NVIDIA Quadro P620 Mobile 's Advantages

Boost Clock has increased by 5% (1443MHz vs 1380MHz)

Lower TDP (40W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 PCIe 32 GB +856%

14.13 TFLOPS

Quadro P620 Mobile

1.478 TFLOPS

Tesla V100 PCIe 32 GB

VS

Quadro P620 Mobile

Graphics Card

Mar 2018

Release Date

Feb 2018

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

Clock Speeds

1230 MHz

Base Clock

1177 MHz

1380 MHz

Boost Clock

1443 MHz

876 MHz

Memory Clock

1502 MHz

Memory

32GB

Memory Size

4GB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

128bit

897.0GB/s

Bandwidth

96.13GB/s

Render Config

-

80

SM Count

4

5120

Shading Units

512

320

TMUs

32

128

ROPs

16

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SM)

6 MB

L2 Cache

1024 KB

-

Theoretical Performance

176.6 GPixel/s

Pixel Rate

23.09 GPixel/s

441.6 GTexel/s

Texture Rate

46.18 GTexel/s

28.26 TFLOPS

FP16 (half)

23.09 GFLOPS

14.13 TFLOPS

FP32 (float)

1478 GFLOPS

7.066 TFLOPS

FP64 (double)

46.18 GFLOPS

Board Design

250W

TDP

40W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

2x 8-pin

Power Connectors

None

Graphics Processor

GV100

GPU Name

GP107

-

Volta

Architecture

Pascal

TSMC

Foundry

Samsung

12 nm

Process Size

14 nm

21.1 billion

Transistors

3.3 billion

815 mm²

Die Size

132 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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