Home GPU Comparison NVIDIA RTX 4000 SFF Ada Generation vs NVIDIA Quadro M2000

NVIDIA RTX 4000 SFF Ada Generation vs NVIDIA Quadro M2000

We compared two Professional market GPUs: 20GB VRAM RTX 4000 SFF Ada Generation and 4GB VRAM Quadro M2000 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA RTX 4000 SFF Ada Generation 's Advantages
Released 6 years and 11 months late
Boost Clock has increased by 34% (1560MHz vs 1163MHz)
More VRAM (20GB vs 4GB)
Larger VRAM bandwidth (280.0GB/s vs 105.8GB/s)
5376 additional rendering cores
Lower TDP (70W vs 75W)

Score

Benchmark

FP32 (float)
RTX 4000 SFF Ada Generation +973%
19.17 TFLOPS
Quadro M2000
1.786 TFLOPS
Blender
RTX 4000 SFF Ada Generation +3379%
3723
Quadro M2000
107
VS

Graphics Card

Mar 2023
Release Date
Apr 2016
Quadro Ada
Generation
Quadro
Professional
Type
Professional
PCIe 4.0 x16
Bus Interface
PCIe 3.0 x16

Clock Speeds

720 MHz
Base Clock
796 MHz
1560 MHz
Boost Clock
1163 MHz
1750 MHz
Memory Clock
1653 MHz

Memory

20GB
Memory Size
4GB
GDDR6
Memory Type
GDDR5
160bit
Memory Bus
128bit
280.0GB/s
Bandwidth
105.8GB/s

Render Config

48
SM Count
-
-
Compute Units
-
6144
Shading Units
768
192
TMUs
48
80
ROPs
32
192
Tensor Cores
-
48
RT Cores
-
128 KB (per SM)
L1 Cache
48 KB (per SMM)
48 MB
L2 Cache
1024 KB

Theoretical Performance

124.8 GPixel/s
Pixel Rate
37.22 GPixel/s
299.5 GTexel/s
Texture Rate
55.82 GTexel/s
19.17 TFLOPS
FP16 (half)
-
19.17 TFLOPS
FP32 (float)
1.786 TFLOPS
299.5 GFLOPS
FP64 (double)
55.82 GFLOPS

Graphics Processor

AD104
GPU Name
GM206
-
GPU Variant
GM206-875-A1
Ada Lovelace
Architecture
Maxwell 2.0
TSMC
Foundry
TSMC
5 nm
Process Size
28 nm
35.8 billion
Transistors
2.94 billion
294 mm²
Die Size
228 mm²

Board Design

70W
TDP
75W
250 W
Suggested PSU
250 W
4x mini-DisplayPort 1.4a
Outputs
4x DisplayPort 1.4a
None
Power Connectors
None

Graphics Features

12 Ultimate (12_2)
DirectX
12 (12_1)
4.6
OpenGL
4.6
3.0
OpenCL
3.0
1.3
Vulkan
1.3
8.9
CUDA
5.2
6.7
Shader Model
6.4

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