Home / Intel Arc B370: Performance and Specs

Intel Arc B370

Intel Arc B370 is a Integrated video accelerator from Intel. It began to be released in January 2026. The GPU has a boost frequency of 2.4 GHz. Its characteristics, as well as benchmark results, are presented in more detail below.

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Basic

Label Name

Intel

Platform

Integrated

Launch Date

January 2026

GPU Lithography

TSMC N3E

Model Name

Intel Arc B370 GPU

Generation

Arc B-Series

Boost Clock

2.4 GHz

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.

1280

RT Cores

Compute Units

10 Xe-cores

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.

L1 Cache

640 KB

L2 Cache

16 MB

Foundry

TSMC

Process Size

3 nm

Architecture

Xe3-LPG

Memory Specifications

Memory Type

System Shared

Display and Media

AV1 Encode/Decode

Yes

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

Yes

H.266 VVC Hardware Encode/Decode

Decode Only

Intel Quick Sync Video

Yes

Max Resolution DP

7680 x 4320 @ 60Hz

Max Resolution eDP

3840 x 2400 @ 120Hz

Number of Displays Supported

Outputs

eDP 1.5, DisplayPort 2.1 UHBR20, HDMI 2.1 FRL

Theoretical Performance

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.

48 GPixel/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.

96 GTexel/s

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.

6.1 TFlops

AI Features

AI Software Frameworks Supported by GPU

OpenVINO, WindowsML, DirectML, ONNX RT, WebGPU, WebNN

GPU Peak TOPS (Int8)

Intel Deep Learning Boost on GPU

Yes

Miscellaneous

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

OpenCL Version

3.0

OpenGL

4.6

DirectX

DirectX 12 Ultimate

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.