NVIDIA GeForce RTX 2070 SUPER Max Q vs AMD FirePro W7170M

VS

NVIDIA GeForce RTX 2070 SUPER Max Q

AMD FirePro W7170M

We compared two Mobile platform GPUs: 8GB VRAM GeForce RTX 2070 SUPER Max Q and 4GB VRAM FirePro W7170M 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 4 years and 6 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 100W)

Score

Benchmark

FP32 (float)

GeForce RTX 2070 SUPER Max Q +99%

5.914 TFLOPS

FirePro W7170M

2.961 TFLOPS

GeForce RTX 2070 SUPER Max Q

VS

FirePro W7170M

Graphics Card

Apr 2020

Release Date

Oct 2015

GeForce 20 Mobile

Generation

FirePro Mobile

Mobile

Type

Mobile

PCIe 3.0 x16

Bus Interface

PCIe 3.0 x16

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

100W

-

No outputs

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

TU104

GPU Name

Amethyst

-

GPU Variant

Amethyst XT GL

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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