Home GPU Comparison NVIDIA Quadro K1000M vs Intel Data Center GPU Flex 140

NVIDIA Quadro K1000M vs Intel Data Center GPU Flex 140

We compared two Professional market GPUs: 2GB VRAM Quadro K1000M and 6GB VRAM Data Center GPU Flex 140 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro K1000M 's Advantages
Lower TDP (45W vs 75W)
Intel Data Center GPU Flex 140 's Advantages
Released 10 years and 2 months late
Boost Clock1950MHz
More VRAM (6GB vs 2GB)
Larger VRAM bandwidth (186.0GB/s vs 28.80GB/s)
832 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro K1000M
0.326 TFLOPS
Data Center GPU Flex 140 +1125%
3.994 TFLOPS

Graphics Card

Jun 2012
Release Date
Aug 2022
Quadro Mobile
Generation
Data Center GPU
Professional
Type
Professional
MXM-A (3.0)
Bus Interface
PCIe 4.0 x8

Clock Speeds

-
Base Clock
1600 MHz
-
Boost Clock
1950 MHz
900 MHz
Memory Clock
1937 MHz

Memory

2GB
Memory Size
6GB
DDR3
Memory Type
GDDR6
128bit
Memory Bus
96bit
28.80GB/s
Bandwidth
186.0GB/s

Render Config

-
-
-
-
-
-
192
Shading Units
1024
16
TMUs
64
16
ROPs
32
-
-
-
-
RT Cores
8
16 KB (per SMX)
L1 Cache
-
256 KB
L2 Cache
4 MB
-
-
-

Theoretical Performance

3.400 GPixel/s
Pixel Rate
62.40 GPixel/s
13.60 GTexel/s
Texture Rate
124.8 GTexel/s
-
FP16 (half)
7.987 TFLOPS
326.4 GFLOPS
FP32 (float)
3.994 TFLOPS
13.60 GFLOPS
FP64 (double)
-

Board Design

45W
TDP
75W
-
Suggested PSU
250 W
No outputs
Outputs
1x HDMI 2.1 3x DisplayPort 2.0
-
Power Connectors
1x 8-pin

Graphics Processor

GK107
GPU Name
DG2-128
N14P-Q1-A2
GPU Variant
ACM-G11
Kepler
Architecture
Generation 12.7
TSMC
Foundry
TSMC
28 nm
Process Size
6 nm
1.27 billion
Transistors
7.2 billion
118 mm²
Die Size
157 mm²

Graphics Features

12 (11_0)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.1
Vulkan
1.3
3.0
CUDA
-
5.1
Shader Model
6.6
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