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GPU Comparison
Intel Data Center GPU Flex 140 vs NVIDIA Quadro K100M
Intel Data Center GPU Flex 140 vs NVIDIA Quadro K100M
VS
Intel Data Center GPU Flex 140
NVIDIA Quadro K100M
We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 1024MB VRAM Quadro K100M 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 8 years late
Boost Clock1950MHz
More VRAM (6GB vs 1024GB)
Larger VRAM bandwidth (186.0GB/s vs 12.80GB/s)
832 additional rendering cores
NVIDIA Quadro K100M 's Advantages
Lower TDP (35W vs 75W)
Score
Benchmark
FP32 (float)
Data Center GPU Flex 140
+1125%
3.994 TFLOPS
Quadro K100M
0.326 TFLOPS
Intel Data Center GPU Flex 140
VS
NVIDIA Quadro K100M
Graphics Card
Aug 2022
Release Date
Aug 2014
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
800 MHz
Memory
6GB
Memory Size
1024MB
GDDR6
Memory Type
DDR3
96bit
Memory Bus
64bit
186.0GB/s
Bandwidth
12.80GB/s
Render Config
-
-
-
-
-
-
1024
Shading Units
192
64
TMUs
16
32
ROPs
8
-
-
-
8
RT Cores
-
-
L1 Cache
16 KB (per SMX)
4 MB
L2 Cache
128 KB
-
-
-
Theoretical Performance
62.40 GPixel/s
Pixel Rate
3.400 GPixel/s
124.8 GTexel/s
Texture Rate
13.60 GTexel/s
7.987 TFLOPS
FP16 (half)
-
3.994 TFLOPS
FP32 (float)
326.4 GFLOPS
-
FP64 (double)
13.60 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
GK107
ACM-G11
GPU Variant
N14M-Q1
Generation 12.7
Architecture
Kepler
TSMC
Foundry
TSMC
6 nm
Process Size
28 nm
7.2 billion
Transistors
1.27 billion
157 mm²
Die Size
118 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 (11_0)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.1
-
CUDA
3.0
6.6
Shader Model
5.1
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8
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9
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