Home GPU Comparison NVIDIA Quadro K5100M vs Intel Data Center GPU Flex 140

NVIDIA Quadro K5100M vs Intel Data Center GPU Flex 140

We compared two Professional market GPUs: 8GB VRAM Quadro K5100M 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 K5100M 's Advantages
More VRAM (8GB vs 6GB)
512 additional rendering cores
Intel Data Center GPU Flex 140 's Advantages
Released 9 years and 1 months late
Boost Clock has increased by 153% (1950MHz vs 771MHz)
Larger VRAM bandwidth (186.0GB/s vs 115.2GB/s)
Lower TDP (75W vs 100W)

Score

Benchmark

FP32 (float)
Quadro K5100M
2.369 TFLOPS
Data Center GPU Flex 140 +68%
3.994 TFLOPS
VS

Graphics Card

Jul 2013
Release Date
Aug 2022
Quadro Mobile
Generation
Data Center GPU
Professional
Type
Professional
MXM-B (3.0)
Bus Interface
PCIe 4.0 x8

Clock Speeds

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

Memory

8GB
Memory Size
6GB
GDDR5
Memory Type
GDDR6
256bit
Memory Bus
96bit
115.2GB/s
Bandwidth
186.0GB/s

Render Config

-
-
-
-
-
-
1536
Shading Units
1024
128
TMUs
64
32
ROPs
32
-
-
-
-
RT Cores
8
16 KB (per SMX)
L1 Cache
-
512 KB
L2 Cache
4 MB
-
-
-

Theoretical Performance

24.67 GPixel/s
Pixel Rate
62.40 GPixel/s
98.69 GTexel/s
Texture Rate
124.8 GTexel/s
-
FP16 (half)
7.987 TFLOPS
2.369 TFLOPS
FP32 (float)
3.994 TFLOPS
98.69 GFLOPS
FP64 (double)
-

Board Design

100W
TDP
75W
-
Suggested PSU
250 W
No outputs
Outputs
1x HDMI 2.1 3x DisplayPort 2.0
-
Power Connectors
1x 8-pin

Graphics Processor

GK104
GPU Name
DG2-128
N15E-Q5-A2
GPU Variant
ACM-G11
Kepler
Architecture
Generation 12.7
TSMC
Foundry
TSMC
28 nm
Process Size
6 nm
3.54 billion
Transistors
7.2 billion
294 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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