Home / GPU Comparison / NVIDIA GeForce GTX 1080 Ti or Intel Arc Pro B70: What's better?

NVIDIA GeForce GTX 1080 Ti

vs

Intel Arc Pro B70

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce GTX 1080 Ti and Intel Arc Pro B70 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel Arc Pro B70

Higher Boost Clock: 2800 MHz (1582MHz vs 2800 MHz)
Larger Memory Size: 32GB (11GB vs 32GB)
Higher Bandwidth: 608.0GB/s (484.4 GB/s vs 608.0GB/s)
More Shading Units: 4096 (3584 vs 4096)
Newer Launch Date: March 2026 (March 2017 vs March 2026)

Basic

NVIDIA

Label Name

Intel

March 2017

Launch Date

March 2026

Desktop

Platform

Desktop

GeForce GTX 1080 Ti

Model Name

Arc Pro B70

GeForce 10

Generation

Battlemage

1481MHz

Base Clock

2280 MHz

1582MHz

Boost Clock

2800 MHz

PCIe 3.0 x16

Bus Interface

PCIe 5.0 x16

11,800 million

Transistors

Unknown

RT Cores

224

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.

256

TSMC

Foundry

TSMC

16 nm

Process Size

5 nm

Pascal

Architecture

Xe2-HPG

Memory Specifications

11GB

Memory Size

32GB

GDDR5X

Memory Type

GDDR6

352bit

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.

256bit

1376MHz

Memory Clock

2375 MHz

484.4 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.

608.0GB/s

Display and Media

1x HDMI 2.0
3x DisplayPort 1.4a

Outputs

1x HDMI 2.1a
3x DisplayPort 2.1

Theoretical Performance

139.2 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.

358.4 GPixel/s

354.4 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.

716.8 GTexel/s

177.2 GFLOPS

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.

45.88 TFLOPS

354.4 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.

2.867 TFLOPS

11.567 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.

23.399 TFLOPS

Miscellaneous

SM Count

Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.

3584

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.

4096

48 KB (per SM)

L1 Cache

0MB

L2 Cache

16 MB

250W

TDP

230W

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.

1.4

3.0

OpenCL Version

3.0

4.6

OpenGL

4.6

6.1

CUDA

12 (12_1)

DirectX

12 Ultimate (12_2)

1x 6-pin + 1x 8-pin

Power Connectors

1x 8-pin

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.

128

6.4

Shader Model

6.6

600W

Suggested PSU

550 W