AMD Radeon R9 Nano vs NVIDIA GeForce RTX 3070 Ti 16 GB

VS

AMD Radeon R9 Nano

NVIDIA GeForce RTX 3070 Ti 16 GB

We compared two Desktop platform GPUs: 4GB VRAM Radeon R9 Nano and 16GB VRAM GeForce RTX 3070 Ti 16 GB to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Radeon R9 Nano 's Advantages

Lower TDP (175W vs 290W)

NVIDIA GeForce RTX 3070 Ti 16 GB 's Advantages

Boost Clock1770MHz

More VRAM (16GB vs 4GB)

Larger VRAM bandwidth (608.3GB/s vs 512.0GB/s)

2048 additional rendering cores

Score

Benchmark

FP32 (float)

Radeon R9 Nano

8.192 TFLOPS

GeForce RTX 3070 Ti 16 GB +165%

21.75 TFLOPS

Radeon R9 Nano

VS

GeForce RTX 3070 Ti 16 GB

Graphics Card

Aug 2015

Release Date

Unknown

Pirate Islands

Generation

GeForce 30

Desktop

Type

Desktop

PCIe 3.0 x16

Bus Interface

PCIe 4.0 x16

Clock Speeds

-

Base Clock

1575 MHz

-

Boost Clock

1770 MHz

500 MHz

Memory Clock

1188 MHz

Memory

4GB

Memory Size

16GB

HBM

Memory Type

GDDR6X

4096bit

Memory Bus

256bit

512.0GB/s

Bandwidth

608.3GB/s

Render Config

64

Compute Units

-

SM Count

48

4096

Shading Units

6144

256

TMUs

192

64

ROPs

96

-

Tensor Cores

192

-

RT Cores

48

16 KB (per CU)

L1 Cache

128 KB (per SM)

2 MB

L2 Cache

4 MB

-

Theoretical Performance

64.00 GPixel/s

Pixel Rate

169.9 GPixel/s

256.0 GTexel/s

Texture Rate

339.8 GTexel/s

8.192 TFLOPS

FP16 (half)

21.75 TFLOPS

8.192 TFLOPS

FP32 (float)

21.75 TFLOPS

512.0 GFLOPS

FP64 (double)

339.8 GFLOPS

Board Design

175W

TDP

290W

450 W

Suggested PSU

600 W

1x HDMI 1.4a 3x DisplayPort 1.2

Outputs

1x HDMI 2.1 3x DisplayPort 1.4a

1x 8-pin

Power Connectors

1x 12-pin

Graphics Processor

Fiji

GPU Name

GA104

Fiji XT CA (215-0862120)

GPU Variant

GA104-401-A1

GCN 3.0

Architecture

Ampere

TSMC

Foundry

Samsung

28 nm

Process Size

8 nm

8.9 billion

Transistors

17.4 billion

596 mm²

Die Size

392 mm²

Graphics Features

12 (12_0)

DirectX

12 Ultimate (12_2)

4.6

OpenGL

4.6

2.0

OpenCL

3.0

1.2

Vulkan

1.3

-

CUDA

8.6

6.3

Shader Model

6.6

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