Intel Data Center GPU Flex 140 vs NVIDIA Quadro 1000M

VS

Intel Data Center GPU Flex 140

NVIDIA Quadro 1000M

We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 2GB VRAM Quadro 1000M to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

Intel Data Center GPU Flex 140 's Advantages

Released 11 years and 7 months late

Boost Clock1950MHz

More VRAM (6GB vs 2GB)

Larger VRAM bandwidth (186.0GB/s vs 28.80GB/s)

928 additional rendering cores

NVIDIA Quadro 1000M 's Advantages

Lower TDP (45W vs 75W)

Score

Benchmark

FP32 (float)

Data Center GPU Flex 140 +1384%

3.994 TFLOPS

Quadro 1000M

0.269 TFLOPS

Data Center GPU Flex 140

VS

Quadro 1000M

Graphics Card

Aug 2022

Release Date

Jan 2011

Data Center GPU

Generation

Quadro Mobile

Professional

Type

Professional

PCIe 4.0 x8

Bus Interface

MXM-A (3.0)

Clock Speeds

1600 MHz

Base Clock

-

1950 MHz

Boost Clock

-

1937 MHz

Memory Clock

900 MHz

Memory

6GB

Memory Size

2GB

GDDR6

Memory Type

DDR3

96bit

Memory Bus

128bit

186.0GB/s

Bandwidth

28.80GB/s

Render Config

-

SM Count

4

1024

Shading Units

96

64

TMUs

16

32

ROPs

4

-

8

RT Cores

-

L1 Cache

64 KB (per SM)

4 MB

L2 Cache

256 KB

-

Theoretical Performance

62.40 GPixel/s

Pixel Rate

5.600 GPixel/s

124.8 GTexel/s

Texture Rate

11.20 GTexel/s

7.987 TFLOPS

FP16 (half)

-

3.994 TFLOPS

FP32 (float)

268.8 GFLOPS

-

FP64 (double)

22.40 GFLOPS

Board Design

75W

TDP

45W

250 W

Suggested PSU

-

1x HDMI 2.1 3x DisplayPort 2.0

Outputs

No outputs

1x 8-pin

Power Connectors

-

Graphics Processor

DG2-128

GPU Name

GF108

ACM-G11

GPU Variant

N12P-Q1

Generation 12.7

Architecture

Fermi

TSMC

Foundry

TSMC

6 nm

Process Size

40 nm

7.2 billion

Transistors

0.585 billion

157 mm²

Die Size

116 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (11_0)

4.6

OpenGL

4.6

3.0

OpenCL

1.1

1.3

Vulkan

N/A

-

CUDA

2.1

6.6

Shader Model

5.1

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