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Comparison
Quadro K500M vs Data Center GPU Flex 140
Quadro K500M vs Data Center GPU Flex 140
VS
NVIDIA Quadro K500M
Intel Data Center GPU Flex 140
We compared two Professional market GPUs: 1024MB VRAM Quadro K500M 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
Quadro K500M 's Advantages
Lower TDP (35W vs 75W)
Data Center GPU Flex 140 's Advantages
Released 10 years and 2 months late
Boost Clock1950MHz
More VRAM (6GB vs 1024GB)
Larger VRAM bandwidth (186.0GB/s vs 12.80GB/s)
832 additional rendering cores
Score
Benchmark
FP32 (float)
Quadro K500M
326
Data Center GPU Flex 140
+1125%
3994
NVIDIA Quadro K500M
VS
Intel Data Center GPU Flex 140
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
800 MHz
Memory Clock
1937 MHz
Memory
1024MB
Memory Size
6GB
DDR3
Memory Type
GDDR6
64bit
Memory Bus
96bit
12.80GB/s
Bandwidth
186.0GB/s
Render Config
192
Shading Units
1024
16
TMUs
64
8
ROPs
32
-
RT Cores
8
16 KB (per SMX)
L1 Cache
-
128 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
35W
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
N14M-Q1
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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