Intel Data Center GPU Flex 140 vs NVIDIA RTX 4000 SFF Ada Generation
We compared two Professional market GPUs: 6GB VRAM Data Center GPU Flex 140 and 16GB VRAM RTX 4000 SFF Ada Generation 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 3 years and 9 months late
Boost Clock has increased by 12% (1950MHz vs 1746MHz)
Lower TDP (75W vs 300W)
NVIDIA RTX 4000 SFF Ada Generation 's Advantages
More VRAM (16GB vs 6GB)
Larger VRAM bandwidth (1.02TB/s vs 186.0GB/s)
2816 additional rendering cores
Score
Benchmark
FP32 (float)
Data Center GPU Flex 140
3.994 TFLOPS
RTX 4000 SFF Ada Generation
+235%
13.41 TFLOPS
Graphics Card
Aug 2022
Release Date
Nov 2018
Data Center GPU
Generation
Radeon Instinct
Professional
Type
Professional
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x16
Clock Speeds
1600 MHz
Base Clock
1200 MHz
1950 MHz
Boost Clock
1746 MHz
1937 MHz
Memory Clock
1000 MHz
Memory
6GB
Memory Size
16GB
GDDR6
Memory Type
HBM2
96bit
Memory Bus
4096bit
186.0GB/s
Bandwidth
1.02TB/s
Render Config
-
Compute Units
60
-
SM Count
48
1024
Shading Units
3840
64
TMUs
240
32
ROPs
64
-
Tensor Cores
192
8
RT Cores
48
-
L1 Cache
16 KB (per CU)
4 MB
L2 Cache
4 MB
-
-
-
Theoretical Performance
62.40 GPixel/s
Pixel Rate
111.7 GPixel/s
124.8 GTexel/s
Texture Rate
419.0 GTexel/s
7.987 TFLOPS
FP16 (half)
26.82 TFLOPS
3.994 TFLOPS
FP32 (float)
13.41 TFLOPS
-
FP64 (double)
6.705 TFLOPS
Board Design
75W
TDP
300W
250 W
Suggested PSU
700 W
1x HDMI 2.1
3x DisplayPort 2.0
Outputs
1x mini-DisplayPort 1.4a
1x 8-pin
Power Connectors
2x 8-pin
Graphics Processor
DG2-128
GPU Name
Vega 20
ACM-G11
GPU Variant
Vega 20 GLXT
Generation 12.7
Architecture
GCN 5.1
TSMC
Foundry
TSMC
6 nm
Process Size
7 nm
7.2 billion
Transistors
13.23 billion
157 mm²
Die Size
331 mm²
Graphics Features
12 Ultimate (12_2)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
2.1
1.3
Vulkan
1.3
-
CUDA
8.9
6.6
Shader Model
6.7
