Home GPU Comparison NVIDIA Quadro K620M vs NVIDIA RTX 4000 SFF Ada Generation

NVIDIA Quadro K620M vs NVIDIA RTX 4000 SFF Ada Generation

We compared two Professional market GPUs: 2GB VRAM Quadro K620M and 20GB 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 K620M 's Advantages
Lower TDP (30W vs 70W)
NVIDIA RTX 4000 SFF Ada Generation 's Advantages
Released 8 years late
Boost Clock has increased by 39% (1560MHz vs 1124MHz)
More VRAM (20GB vs 2GB)
Larger VRAM bandwidth (280.0GB/s vs 14.40GB/s)
5760 additional rendering cores

Score

Benchmark

FP32 (float)
Quadro K620M
0.863 TFLOPS
RTX 4000 SFF Ada Generation +2121%
19.17 TFLOPS
Blender
Quadro K620M
82
RTX 4000 SFF Ada Generation +4440%
3723
VS

Graphics Card

Mar 2015
Release Date
Mar 2023
Quadro Mobile
Generation
Quadro Ada
Professional
Type
Professional
MXM-A (3.0)
Bus Interface
PCIe 4.0 x16

Clock Speeds

1029 MHz
Base Clock
720 MHz
1124 MHz
Boost Clock
1560 MHz
900 MHz
Memory Clock
1750 MHz

Memory

2GB
Memory Size
20GB
DDR3
Memory Type
GDDR6
64bit
Memory Bus
160bit
14.40GB/s
Bandwidth
280.0GB/s

Render Config

-
SM Count
48
-
Compute Units
-
384
Shading Units
6144
16
TMUs
192
8
ROPs
80
-
Tensor Cores
192
-
RT Cores
48
64 KB (per SMM)
L1 Cache
128 KB (per SM)
1024 KB
L2 Cache
48 MB

Theoretical Performance

8.992 GPixel/s
Pixel Rate
124.8 GPixel/s
17.98 GTexel/s
Texture Rate
299.5 GTexel/s
-
FP16 (half)
19.17 TFLOPS
863.2 GFLOPS
FP32 (float)
19.17 TFLOPS
26.98 GFLOPS
FP64 (double)
299.5 GFLOPS

Graphics Processor

GM108
GPU Name
AD104
N15M-Q3
GPU Variant
-
Maxwell
Architecture
Ada Lovelace
TSMC
Foundry
TSMC
28 nm
Process Size
5 nm
Unknown
Transistors
35.8 billion
Unknown
Die Size
294 mm²

Board Design

30W
TDP
70W
-
Suggested PSU
250 W
No outputs
Outputs
4x mini-DisplayPort 1.4a
None
Power Connectors
None

Graphics Features

12 (11_0)
DirectX
12 Ultimate (12_2)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
5.0
CUDA
8.9
5.1
Shader Model
6.7

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