NVIDIA Tesla V100 SXM2 16 GB vs NVIDIA Quadro 5000M

VS

NVIDIA Tesla V100 SXM2 16 GB

NVIDIA Quadro 5000M

We compared two Professional market GPUs: 16GB VRAM Tesla V100 SXM2 16 GB and 1792MB VRAM Quadro 5000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Tesla V100 SXM2 16 GB 's Advantages

Released 9 years and 4 months late

Boost Clock1597MHz

More VRAM (16GB vs 1792GB)

Larger VRAM bandwidth (1133GB/s vs 76.80GB/s)

4800 additional rendering cores

NVIDIA Quadro 5000M 's Advantages

Lower TDP (100W vs 250W)

Score

Benchmark

FP32 (float)

Tesla V100 SXM2 16 GB +3056%

16.35 TFLOPS

Quadro 5000M

0.518 TFLOPS

Tesla V100 SXM2 16 GB

VS

Quadro 5000M

Graphics Card

Nov 2019

Release Date

Jul 2010

Tesla

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 3.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

1245 MHz

Base Clock

-

1597 MHz

Boost Clock

-

1106 MHz

Memory Clock

600 MHz

Memory

16GB

Memory Size

1792MB

HBM2

Memory Type

GDDR5

4096bit

Memory Bus

256bit

1133GB/s

Bandwidth

76.80GB/s

Render Config

-

80

SM Count

10

5120

Shading Units

320

TMUs

40

128

ROPs

32

640

Tensor Cores

-

128 KB (per SM)

L1 Cache

64 KB (per SM)

6 MB

L2 Cache

512 KB

-

Theoretical Performance

204.4 GPixel/s

Pixel Rate

8.100 GPixel/s

511.0 GTexel/s

Texture Rate

16.20 GTexel/s

32.71 TFLOPS

FP16 (half)

-

16.35 TFLOPS

FP32 (float)

518.4 GFLOPS

8.177 TFLOPS

FP64 (double)

-

Board Design

250W

TDP

100W

600 W

Suggested PSU

-

No outputs

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

GV100

GPU Name

GF100

-

GPU Variant

N10E-GLM5-A3

Volta

Architecture

Fermi

TSMC

Foundry

TSMC

12 nm

Process Size

40 nm

21.1 billion

Transistors

3.1 billion

815 mm²

Die Size

529 mm²

Graphics Features

12 (12_1)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

7.0

CUDA

2.0

6.6

Shader Model

5.1

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