Home GPU Comparison NVIDIA Quadro RTX 5000 Mobile vs Intel Data Center GPU Flex 140

NVIDIA Quadro RTX 5000 Mobile vs Intel Data Center GPU Flex 140

We compared two Professional market GPUs: 16GB VRAM Quadro RTX 5000 Mobile 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 RTX 5000 Mobile 's Advantages
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (448.0GB/s vs 186.0GB/s)
2048 additional rendering cores
Intel Data Center GPU Flex 140 's Advantages
Released 3 years and 3 months late
Boost Clock has increased by 10% (1950MHz vs 1770MHz)
Lower TDP (75W vs 110W)

Score

Benchmark

FP32 (float)
Quadro RTX 5000 Mobile +172%
10.87 TFLOPS
Data Center GPU Flex 140
3.994 TFLOPS
VS

Graphics Card

May 2019
Release Date
Aug 2022
Quadro Mobile
Generation
Data Center GPU
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x8

Clock Speeds

1365 MHz
Base Clock
1600 MHz
1770 MHz
Boost Clock
1950 MHz
1750 MHz
Memory Clock
1937 MHz

Memory

16GB
Memory Size
6GB
GDDR6
Memory Type
GDDR6
256bit
Memory Bus
96bit
448.0GB/s
Bandwidth
186.0GB/s

Render Config

-
-
-
48
SM Count
-
3072
Shading Units
1024
192
TMUs
64
64
ROPs
32
384
Tensor Cores
-
48
RT Cores
8
64 KB (per SM)
L1 Cache
-
4 MB
L2 Cache
4 MB
-
-
-

Theoretical Performance

113.3 GPixel/s
Pixel Rate
62.40 GPixel/s
339.8 GTexel/s
Texture Rate
124.8 GTexel/s
21.75 TFLOPS
FP16 (half)
7.987 TFLOPS
10.87 TFLOPS
FP32 (float)
3.994 TFLOPS
339.8 GFLOPS
FP64 (double)
-

Board Design

110W
TDP
75W
-
Suggested PSU
250 W
No outputs
Outputs
1x HDMI 2.1 3x DisplayPort 2.0
None
Power Connectors
1x 8-pin

Graphics Processor

TU104
GPU Name
DG2-128
N19E-Q5-A1
GPU Variant
ACM-G11
Turing
Architecture
Generation 12.7
TSMC
Foundry
TSMC
12 nm
Process Size
6 nm
13.6 billion
Transistors
7.2 billion
545 mm²
Die Size
157 mm²

Graphics Features

12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
7.5
CUDA
-
6.6
Shader Model
6.6

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