AMD Radeon RX 640 Mobile vs NVIDIA GeForce GTX 1050 Ti Mobile

VS

AMD Radeon RX 640 Mobile

NVIDIA GeForce GTX 1050 Ti Mobile

We compared two Mobile platform GPUs: 2GB VRAM Radeon RX 640 Mobile and 4GB VRAM GeForce GTX 1050 Ti Mobile to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

AMD Radeon RX 640 Mobile 's Advantages

Released 2 years and 4 months late

Lower TDP (50W vs 75W)

NVIDIA GeForce GTX 1050 Ti Mobile 's Advantages

Boost Clock has increased by 33% (1620MHz vs 1218MHz)

More VRAM (4GB vs 2GB)

Larger VRAM bandwidth (112.1GB/s vs 48.00GB/s)

128 additional rendering cores

Score

Benchmark

FP32 (float)

Radeon RX 640 Mobile

1.559 TFLOPS

GeForce GTX 1050 Ti Mobile +59%

2.488 TFLOPS

Radeon RX 640 Mobile

VS

GeForce GTX 1050 Ti Mobile

Graphics Card

May 2019

Release Date

Jan 2017

Mobility Radeon

Generation

GeForce 10 Mobile

Mobile

Type

Mobile

PCIe 3.0 x8

Bus Interface

PCIe 3.0 x16

Clock Speeds

1082 MHz

Base Clock

1493 MHz

1218 MHz

Boost Clock

1620 MHz

1500 MHz

Memory Clock

1752 MHz

Memory

2GB

Memory Size

4GB

GDDR5

Memory Type

GDDR5

64bit

Memory Bus

128bit

48.00GB/s

Bandwidth

112.1GB/s

Render Config

10

Compute Units

-

SM Count

6

640

Shading Units

768

40

TMUs

48

16

ROPs

32

-

16 KB (per CU)

L1 Cache

48 KB (per SM)

512 KB

L2 Cache

1024 KB

-

Theoretical Performance

19.49 GPixel/s

Pixel Rate

51.84 GPixel/s

48.72 GTexel/s

Texture Rate

77.76 GTexel/s

1.559 TFLOPS

FP16 (half)

38.88 GFLOPS

1.559 TFLOPS

FP32 (float)

2.488 TFLOPS

97.44 GFLOPS

FP64 (double)

77.76 GFLOPS

Board Design

50W

TDP

75W

-

No outputs

Outputs

No outputs

None

Power Connectors

None

Graphics Processor

Polaris 23

GPU Name

GP107

Polaris 23 XT

GPU Variant

N17P-G1-A1

GCN 4.0

Architecture

Pascal

GlobalFoundries

Foundry

Samsung

14 nm

Process Size

14 nm

2.2 billion

Transistors

3.3 billion

103 mm²

Die Size

132 mm²

Graphics Features

12 (12_0)

DirectX

12 (12_1)

4.6

OpenGL

4.6

2.1

OpenCL

3.0

1.2

Vulkan

1.3

-

CUDA

6.1

6.4

Shader Model

6.4

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