NVIDIA GeForce RTX 2070 SUPER Max Q vs AMD Radeon R9 M295X

VS

NVIDIA GeForce RTX 2070 SUPER Max Q

AMD Radeon R9 M295X

We compared two Mobile platform GPUs: 8GB VRAM GeForce RTX 2070 SUPER Max Q and 4GB VRAM Radeon R9 M295X to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA GeForce RTX 2070 SUPER Max Q 's Advantages

Released 5 years and 5 months late

Boost Clock1155MHz

More VRAM (8GB vs 4GB)

Larger VRAM bandwidth (352.0GB/s vs 160.0GB/s)

512 additional rendering cores

Lower TDP (80W vs 250W)

Score

Benchmark

FP32 (float)

GeForce RTX 2070 SUPER Max Q +99%

5.914 TFLOPS

Radeon R9 M295X

2.961 TFLOPS

GeForce RTX 2070 SUPER Max Q

VS

Radeon R9 M295X

Graphics Card

Apr 2020

Release Date

Nov 2014

GeForce 20 Mobile

Generation

Crystal System

Mobile

Type

Mobile

PCIe 3.0 x16

Bus Interface

MXM-B (3.0)

Clock Speeds

930 MHz

Base Clock

-

1155 MHz

Boost Clock

-

1375 MHz

Memory Clock

1250 MHz

Memory

8GB

Memory Size

4GB

GDDR6

Memory Type

GDDR5

256bit

Memory Bus

256bit

352.0GB/s

Bandwidth

160.0GB/s

Render Config

-

Compute Units

32

40

SM Count

-

2560

Shading Units

2048

160

TMUs

128

64

ROPs

32

320

Tensor Cores

-

40

RT Cores

-

64 KB (per SM)

L1 Cache

16 KB (per CU)

4 MB

L2 Cache

512 KB

-

Theoretical Performance

73.92 GPixel/s

Pixel Rate

23.14 GPixel/s

184.8 GTexel/s

Texture Rate

92.54 GTexel/s

11.83 TFLOPS

FP16 (half)

2.961 TFLOPS

5.914 TFLOPS

FP32 (float)

2.961 TFLOPS

184.8 GFLOPS

FP64 (double)

185.1 GFLOPS

Board Design

80W

TDP

250W

-

No outputs

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

TU104

GPU Name

Amethyst

-

GPU Variant

Amethyst XT

Turing

Architecture

GCN 3.0

TSMC

Foundry

TSMC

12 nm

Process Size

28 nm

13.6 billion

Transistors

5 billion

545 mm²

Die Size

366 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (12_0)

4.6

OpenGL

4.6

3.0

OpenCL

2.0

1.3

Vulkan

1.2

7.5

CUDA

-

6.6

Shader Model

6.3

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