NVIDIA GeForce RTX 4070 Max-Q vs AMD FirePro M5800

VS

NVIDIA GeForce RTX 4070 Max-Q

AMD FirePro M5800

We compared two Mobile platform GPUs: 8GB VRAM GeForce RTX 4070 Max Q and 1024MB VRAM FirePro M5800 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce RTX 4070 Max-Q 's Advantages

Released 12 years and 10 months late

Boost Clock1230MHz

More VRAM (8GB vs 1024GB)

Larger VRAM bandwidth (224.0GB/s vs 51.20GB/s)

4208 additional rendering cores

AMD FirePro M5800 's Advantages

Lower TDP (26W vs 35W)

Score

Benchmark

FP32 (float)

GeForce RTX 4070 Max Q +2080%

11.34 TFLOPS

FirePro M5800

0.52 TFLOPS

GeForce RTX 4070 Max Q

VS

FirePro M5800

Graphics Card

Jan 2023

Release Date

Mar 2010

GeForce 40 Mobile

Generation

FirePro Mobility

Mobile

Type

Mobile

PCIe 4.0 x16

Bus Interface

PCIe 2.0 x16

Clock Speeds

735 MHz

Base Clock

-

1230 MHz

Boost Clock

-

1750 MHz

Memory Clock

800 MHz

Memory

8GB

Memory Size

1024MB

GDDR6

Memory Type

GDDR5

128bit

Memory Bus

128bit

224.0GB/s

Bandwidth

51.20GB/s

Render Config

-

Compute Units

5

36

SM Count

-

4608

Shading Units

400

144

TMUs

20

48

ROPs

8

144

Tensor Cores

-

36

RT Cores

-

128 KB (per SM)

L1 Cache

8 KB (per CU)

32 MB

L2 Cache

256 KB

-

Theoretical Performance

59.04 GPixel/s

Pixel Rate

5.200 GPixel/s

177.1 GTexel/s

Texture Rate

13.00 GTexel/s

11.34 TFLOPS

FP16 (half)

-

11.34 TFLOPS

FP32 (float)

520.0 GFLOPS

177.1 GFLOPS

FP64 (double)

-

Board Design

35W

TDP

26W

-

Portable Device Dependent

Outputs

No outputs

None

Power Connectors

-

Graphics Processor

AD106

GPU Name

Madison

GN21-X6

GPU Variant

Madison XT GL

Ada Lovelace

Architecture

TeraScale 2

TSMC

Foundry

TSMC

4 nm

Process Size

40 nm

Unknown

Transistors

0.627 billion

190 mm²

Die Size

104 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

11.2 (11_0)

4.6

OpenGL

4.4

3.0

OpenCL

1.2

1.3

Vulkan

N/A

8.9

CUDA

-

6.7

Shader Model

5.0

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