Home GPU Comparison NVIDIA Quadro K420 vs NVIDIA RTX 4000 SFF Ada Generation

NVIDIA Quadro K420 vs NVIDIA RTX 4000 SFF Ada Generation

We compared two Professional market GPUs: 1024MB VRAM Quadro K420 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

NVIDIA Quadro K420 's Advantages
Lower TDP (41W vs 300W)
NVIDIA RTX 4000 SFF Ada Generation 's Advantages
Released 4 years and 4 months late
Boost Clock1746MHz
More VRAM (16GB vs 1024GB)
Larger VRAM bandwidth (1.02TB/s vs 28.51GB/s)
3648 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro K420
0.336 TFLOPS
RTX 4000 SFF Ada Generation +3891%
13.41 TFLOPS
3DMark Time Spy
Quadro K420
214
RTX 4000 SFF Ada Generation +4762%
10406

Graphics Card

Jul 2014
Release Date
Nov 2018
Quadro
Generation
Radeon Instinct
Professional
Type
Professional
PCIe 2.0 x16
Bus Interface
PCIe 4.0 x16

Clock Speeds

-
Base Clock
1200 MHz
-
Boost Clock
1746 MHz
891 MHz
Memory Clock
1000 MHz

Memory

1024MB
Memory Size
16GB
DDR3
Memory Type
HBM2
128bit
Memory Bus
4096bit
28.51GB/s
Bandwidth
1.02TB/s

Render Config

-
Compute Units
60
-
SM Count
48
192
Shading Units
3840
16
TMUs
240
16
ROPs
64
-
Tensor Cores
192
-
RT Cores
48
16 KB (per SMX)
L1 Cache
16 KB (per CU)
256 KB
L2 Cache
4 MB
-
-
-

Theoretical Performance

3.504 GPixel/s
Pixel Rate
111.7 GPixel/s
14.02 GTexel/s
Texture Rate
419.0 GTexel/s
-
FP16 (half)
26.82 TFLOPS
336.4 GFLOPS
FP32 (float)
13.41 TFLOPS
14.02 GFLOPS
FP64 (double)
6.705 TFLOPS

Board Design

41W
TDP
300W
200 W
Suggested PSU
700 W
1x DVI 1x DisplayPort 1.2
Outputs
1x mini-DisplayPort 1.4a
None
Power Connectors
2x 8-pin

Graphics Processor

GK107
GPU Name
Vega 20
GK107-301-A2
GPU Variant
Vega 20 GLXT
Kepler
Architecture
GCN 5.1
TSMC
Foundry
TSMC
28 nm
Process Size
7 nm
1.27 billion
Transistors
13.23 billion
118 mm²
Die Size
331 mm²

Graphics Features

12 (11_0)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
2.1
1.1
Vulkan
1.3
3.0
CUDA
8.9
5.1
Shader Model
6.7
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