AMD Radeon Pro 5600M vs NVIDIA GeForce RTX 4090 Max-Q

VS

AMD Radeon Pro 5600M NVIDIA GeForce RTX 4090 Max-Q

We compared two Mobile platform GPUs: 8GB VRAM Radeon Pro 5600M and 16GB VRAM GeForce RTX 4090 Max Q to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Radeon Pro 5600M 's Advantages

Lower TDP (50W vs 80W)

NVIDIA GeForce RTX 4090 Max-Q 's Advantages

Released 2 years and 7 months late

Boost Clock has increased by 41% (1455MHz vs 1035MHz)

More VRAM (16GB vs 8GB)

Larger VRAM bandwidth (448.0GB/s vs 394.2GB/s)

7168 additional rendering cores

Score

Benchmark

FP32 (float)

Radeon Pro 5600M

5.299 TFLOPS

GeForce RTX 4090 Max Q +434%

28.31 TFLOPS

Radeon Pro 5600M

VS

GeForce RTX 4090 Max Q

Graphics Card

Jun 2020

Release Date

Jan 2023

Radeon Pro Mac

Generation

GeForce 40 Mobile

Mobile

Type

Mobile

PCIe 4.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

1000 MHz

Base Clock

930 MHz

1035 MHz

Boost Clock

1455 MHz

770 MHz

Memory Clock

1750 MHz

Memory

8GB

Memory Size

16GB

HBM2

Memory Type

GDDR6

2048bit

Memory Bus

256bit

394.2GB/s

Bandwidth

448.0GB/s

Render Config

-

SM Count

76

40

Compute Units

-

2560

Shading Units

9728

160

TMUs

304

64

ROPs

112

-

Tensor Cores

304

-

RT Cores

76

-

L1 Cache

128 KB (per SM)

4 MB

L2 Cache

64 MB

Theoretical Performance

66.24 GPixel/s

Pixel Rate

163.0 GPixel/s

165.6 GTexel/s

Texture Rate

442.3 GTexel/s

10.60 TFLOPS

FP16 (half)

28.31 TFLOPS

5.299 TFLOPS

FP32 (float)

28.31 TFLOPS

331.2 GFLOPS

FP64 (double)

442.3 GFLOPS

Graphics Processor

Navi 12

GPU Name

AD103

Navi 12

GPU Variant

GN21-X11

RDNA 1.0

Architecture

Ada Lovelace

TSMC

Foundry

TSMC

7 nm

Process Size

4 nm

Unknown

Transistors

45.9 billion

Unknown

Die Size

379 mm²

Board Design

50W

TDP

80W

-

Suggested PSU

-

No outputs

Outputs

Portable Device Dependent

None

Power Connectors

None

Graphics Features

12 (12_1)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

2.2

OpenCL

3.0

1.3

Vulkan

1.3

-

CUDA

8.9

6.5

Shader Model

6.7

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