Home / GPU Comparison / Intel Arc B370 or NVIDIA GeForce RTX 4090: What's better?

Intel Arc B370

vs

NVIDIA GeForce RTX 4090

GPU Comparison Result

Below are the results of a comparison of Intel Arc B370 and NVIDIA GeForce RTX 4090 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

Intel Arc B370

Newer Launch Date: January 2026 (January 2026 vs September 2022)

NVIDIA GeForce RTX 4090

Higher Boost Clock: 2520MHz (2.4 GHz vs 2520MHz)
More Shading Units: 16384 (1280 vs 16384)

Basic

Intel

Label Name

NVIDIA

January 2026

Launch Date

September 2022

Integrated

Platform

Desktop

TSMC N3E

GPU Lithography

Intel Arc B370 GPU

Model Name

GeForce RTX 4090

Arc B-Series

Generation

GeForce 40

Base Clock

2235MHz

2.4 GHz

Boost Clock

2520MHz

Bus Interface

PCIe 4.0 x16

Transistors

76,300 million

RT Cores

128

10 Xe-cores

Compute Units

Tensor Cores

Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.

512

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.

512

TSMC

Foundry

TSMC

3 nm

Process Size

4 nm

Xe3-LPG

Architecture

Ada Lovelace

Memory Specifications

Memory Size

24GB

System Shared

Memory Type

GDDR6X

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.

384bit

Memory Clock

1313MHz

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.

1008 GB/s

Display and Media

Yes

AV1 Encode/Decode

Yes

H.264 Hardware Encode/Decode

Yes

H.265 HEVC Hardware Encode/Decode

Decode Only

H.266 VVC Hardware Encode/Decode

Yes

Intel Quick Sync Video

7680 x 4320 @ 60Hz

Max Resolution DP

3840 x 2400 @ 120Hz

Max Resolution eDP

Number of Displays Supported

eDP 1.5, DisplayPort 2.1 UHBR20, HDMI 2.1 FRL

Outputs

1x HDMI 2.1
3x DisplayPort 1.4a

Theoretical Performance

48 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.

443.5 GPixel/s

96 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.

1290 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.

82.58 TFLOPS

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.

1290 GFLOPS

6.1 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.

80.928 TFLOPS

AI Features

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

AI Software Frameworks Supported by GPU

GPU Peak TOPS (Int8)

Yes

Intel Deep Learning Boost on GPU

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.

128

1280

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.

16384

640 KB

L1 Cache

128 KB (per SM)

16 MB

L2 Cache

72MB

TDP

450W

1.4

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

CUDA

8.9

DirectX 12 Ultimate

DirectX

12 Ultimate (12_2)

Power Connectors

1x 16-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.

176

Shader Model

6.6

Suggested PSU

850W