Home GPU Comparison Intel Data Center GPU Flex 140 vs NVIDIA Quadro 500M

Intel Data Center GPU Flex 140 vs NVIDIA Quadro 500M

We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 1024MB VRAM Quadro 500M 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 6 months late
Boost Clock1950MHz
More VRAM (6GB vs 1024GB)
Larger VRAM bandwidth (186.0GB/s vs 28.80GB/s)
928 additional rendering cores
NVIDIA Quadro 500M 's Advantages
Lower TDP (35W vs 75W)

Score

Benchmark

FP32 (float)
Data Center GPU Flex 140 +1384%
3.994 TFLOPS
Quadro 500M
0.269 TFLOPS

Graphics Card

Aug 2022
Release Date
Feb 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
1024MB
GDDR6
Memory Type
DDR3
96bit
Memory Bus
128bit
186.0GB/s
Bandwidth
28.80GB/s

Render Config

-
-
-
-
SM Count
2
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
2.800 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
35W
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
N12M-Q3
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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