NVIDIA GeForce RTX 4080 16 GB vs AMD FirePro RG220

VS

NVIDIA GeForce RTX 4080 16 GB

AMD FirePro RG220

We compared two Desktop platform GPUs: 16GB VRAM GeForce RTX 4080 16 GB and 512MB VRAM FirePro RG220 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce RTX 4080 16 GB 's Advantages

Released 12 years and 4 months late

Boost Clock2505MHz

More VRAM (16GB vs 512GB)

Larger VRAM bandwidth (716.8GB/s vs 51.20GB/s)

9648 additional rendering cores

AMD FirePro RG220 's Advantages

Lower TDP (35W vs 320W)

Score

Benchmark

FP32 (float)

GeForce RTX 4080 16 GB +60825%

48.74 TFLOPS

FirePro RG220

0.08 TFLOPS

GeForce RTX 4080 16 GB

VS

FirePro RG220

Graphics Card

Sep 2022

Release Date

May 2010

GeForce 40

Generation

FirePro RG

Desktop

Type

Desktop

PCIe 4.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

2205 MHz

Base Clock

-

2505 MHz

Boost Clock

-

1400 MHz

Memory Clock

800 MHz

Memory

16GB

Memory Size

512MB

GDDR6X

Memory Type

GDDR3

256bit

Memory Bus

256bit

716.8GB/s

Bandwidth

51.20GB/s

Render Config

-

Compute Units

1

76

SM Count

-

9728

Shading Units

80

304

TMUs

8

112

ROPs

4

304

Tensor Cores

-

76

RT Cores

-

128 KB (per SM)

L1 Cache

-

64 MB

L2 Cache

-

Theoretical Performance

280.6 GPixel/s

Pixel Rate

2.000 GPixel/s

761.5 GTexel/s

Texture Rate

4.000 GTexel/s

48.74 TFLOPS

FP16 (half)

-

48.74 TFLOPS

FP32 (float)

80.00 GFLOPS

761.5 GFLOPS

FP64 (double)

-

Board Design

320W

TDP

35W

700 W

Suggested PSU

200 W

1x HDMI 2.1 3x DisplayPort 1.4a

Outputs

1x DMS-59

1x 16-pin

Power Connectors

None

Graphics Processor

AD103

GPU Name

M93

AD103-300-A1

GPU Variant

-

Ada Lovelace

Architecture

TeraScale

TSMC

Foundry

TSMC

4 nm

Process Size

55 nm

45.9 billion

Transistors

0.242 billion

379 mm²

Die Size

73 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

10.1 (10_1)

4.6

OpenGL

3.3

3.0

OpenCL

1.1

1.3

Vulkan

N/A

8.9

CUDA

-

6.6

Shader Model

4.1

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