Home / GPU Comparison / NVIDIA GeForce GTX 860M or Intel Arc Graphics 128EU Mobile: What's better?

NVIDIA GeForce GTX 860M

vs

Intel Arc Graphics 128EU Mobile

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce GTX 860M and Intel Arc Graphics 128EU Mobile video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce GTX 860M

Larger Memory Size: 4GB (4GB vs System Shared)
Higher Bandwidth: 80.19 GB/s (80.19 GB/s vs System Dependent)

Intel Arc Graphics 128EU Mobile

Higher Boost Clock: 2250MHz (1085MHz vs 2250MHz)
More Shading Units: 1024 (640 vs 1024)
Newer Launch Date: December 2023 (January 2014 vs December 2023)

Basic

NVIDIA

Label Name

Intel

January 2014

Launch Date

December 2023

Mobile

Platform

Integrated

GeForce GTX 860M

Model Name

Arc Graphics 128EU Mobile

GeForce 800M

Generation

Arc Graphics-M

1020MHz

Base Clock

300MHz

1085MHz

Boost Clock

2250MHz

MXM-B (3.0)

Bus Interface

Ring Bus

1,870 million

Transistors

Unknown

TMUs

Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.

TSMC

Foundry

Intel

28 nm

Process Size

10 nm

Maxwell

Architecture

Xe-LPG

Memory Specifications

4GB

Memory Size

System Shared

GDDR5

Memory Type

System Shared

128bit

Memory Bus

The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.

System Shared

1253MHz

Memory Clock

SystemShared

80.19 GB/s

Bandwidth

Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.

System Dependent

Display and Media

No outputs

Outputs

Portable Device Dependent

Theoretical Performance

17.36 GPixel/s

Pixel Rate

Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.

72.00 GPixel/s

43.40 GTexel/s

Texture Rate

Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.

144.0 GTexel/s

FP16 (half)

An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.

9.216 TFLOPS

43.40 GFLOPS

FP64 (double)

An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

1.417 TFLOPS

FP32 (float)

An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

4.516 TFLOPS

Miscellaneous

640

Shading Units

The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.

1024

64 KB (per SMM)

L1 Cache

2MB

L2 Cache

75W

TDP

28W

1.3

Vulkan Version

Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.

1.3

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

5.0

CUDA

12 (11_0)

DirectX

12 (12_1)

None

Power Connectors

ROPs

The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.

5.1

Shader Model

6.6