NVIDIA Quadro FX 4800 vs AMD Radeon Instinct MI60

VS

NVIDIA Quadro FX 4800

AMD Radeon Instinct MI60

We compared two Professional market GPUs: 1536MB VRAM Quadro FX 4800 and 32GB VRAM Radeon Instinct MI60 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Quadro FX 4800 's Advantages

Lower TDP (150W vs 300W)

AMD Radeon Instinct MI60 's Advantages

Released 10 years late

Boost Clock1800MHz

More VRAM (32GB vs 1536GB)

Larger VRAM bandwidth (1024GB/s vs 76.80GB/s)

3904 additional rendering cores

Score

Benchmark

FP32 (float)

Quadro FX 4800

0.462 TFLOPS

Radeon Instinct MI60 +3092%

14.75 TFLOPS

Quadro FX 4800

VS

Radeon Instinct MI60

Graphics Card

Nov 2008

Release Date

Nov 2018

Quadro FX

Generation

Radeon Instinct

Professional

Type

Professional

PCIe 2.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

-

Base Clock

1200 MHz

-

Boost Clock

1800 MHz

800 MHz

Memory Clock

1000 MHz

Memory

1536MB

Memory Size

32GB

GDDR3

Memory Type

HBM2

384bit

Memory Bus

4096bit

76.80GB/s

Bandwidth

1024GB/s

Render Config

-

Compute Units

64

24

SM Count

-

192

Shading Units

4096

64

TMUs

256

24

ROPs

64

-

L1 Cache

16 KB (per CU)

192 KB

L2 Cache

4 MB

-

Theoretical Performance

14.45 GPixel/s

Pixel Rate

115.2 GPixel/s

38.53 GTexel/s

Texture Rate

460.8 GTexel/s

-

FP16 (half)

29.49 TFLOPS

462.3 GFLOPS

FP32 (float)

14.75 TFLOPS

57.79 GFLOPS

FP64 (double)

7.373 TFLOPS

Board Design

150W

TDP

300W

450 W

Suggested PSU

700 W

1x DVI 2x DisplayPort 1x S-Video

Outputs

1x mini-DisplayPort 1.4a

1x 6-pin

Power Connectors

1x 6-pin + 1x 8-pin

Graphics Processor

GT200B

GPU Name

Vega 20

-

GPU Variant

Vega 20 GL

Tesla 2.0

Architecture

GCN 5.1

TSMC

Foundry

TSMC

55 nm

Process Size

7 nm

1.4 billion

Transistors

13.23 billion

470 mm²

Die Size

331 mm²

Graphics Features

11.1 (10_0)

DirectX

12 (12_1)

3.3

OpenGL

4.6

1.1

OpenCL

2.1

N/A

Vulkan

1.2

1.3

CUDA

-

4.0

Shader Model

6.4

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