Home GPU Comparison NVIDIA Tesla M6 vs Intel Data Center GPU Flex 140

NVIDIA Tesla M6 vs Intel Data Center GPU Flex 140

We compared two Professional market GPUs: 8GB VRAM Tesla M6 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 Tesla M6 's Advantages
More VRAM (8GB vs 6GB)
512 additional rendering cores
Intel Data Center GPU Flex 140 's Advantages
Released 7 years late
Boost Clock has increased by 65% (1950MHz vs 1180MHz)
Larger VRAM bandwidth (186.0GB/s vs 160.4GB/s)
Lower TDP (75W vs 100W)

Score

Benchmark

FP32 (float)
Tesla M6
3.625 TFLOPS
Data Center GPU Flex 140 +10%
3.994 TFLOPS
VS

Graphics Card

Aug 2015
Release Date
Aug 2022
Tesla
Generation
Data Center GPU
Professional
Type
Professional
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x8

Clock Speeds

930 MHz
Base Clock
1600 MHz
1180 MHz
Boost Clock
1950 MHz
1253 MHz
Memory Clock
1937 MHz

Memory

8GB
Memory Size
6GB
GDDR5
Memory Type
GDDR6
256bit
Memory Bus
96bit
160.4GB/s
Bandwidth
186.0GB/s

Render Config

-
-
-
-
-
-
1536
Shading Units
1024
96
TMUs
64
64
ROPs
32
-
-
-
-
RT Cores
8
48 KB (per SMM)
L1 Cache
-
2 MB
L2 Cache
4 MB
-
-
-

Theoretical Performance

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

Board Design

100W
TDP
75W
300 W
Suggested PSU
250 W
No outputs
Outputs
1x HDMI 2.1 3x DisplayPort 2.0
None
Power Connectors
1x 8-pin

Graphics Processor

GM204
GPU Name
DG2-128
GM204-995-A1
GPU Variant
ACM-G11
Maxwell 2.0
Architecture
Generation 12.7
TSMC
Foundry
TSMC
28 nm
Process Size
6 nm
5.2 billion
Transistors
7.2 billion
398 mm²
Die Size
157 mm²

Graphics Features

12 (12_1)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
5.2
CUDA
-
6.4
Shader Model
6.6

Related GPU Comparisons

Related News

© 2024 - TopCPU.net   Contact Us Privacy Policy