Home / GPU Comparison / NVIDIA GeForce RTX 5070 or Intel Arc B390: What's better?

NVIDIA GeForce RTX 5070

vs

Intel Arc B390

GPU Comparison Result

Below are the results of a comparison of NVIDIA GeForce RTX 5070 and Intel Arc B390 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA GeForce RTX 5070

Higher Boost Clock: 2520 MHz (2520 MHz vs 2.5 GHz)
More Shading Units: 6400 (6400 vs 1536)

Intel Arc B390

Newer Launch Date: January 2026 (January 2025 vs January 2026)

Basic

NVIDIA

Label Name

Intel

January 2025

Launch Date

January 2026

Desktop

Platform

Integrated

GPU Lithography

TSMC N3E

GeForce RTX 5070

Model Name

Intel Arc B390 GPU

GeForce 50

Generation

Arc B-Series

2235 MHz

Base Clock

300 MHz

2520 MHz

Boost Clock

2.5 GHz

PCIe 5.0 x16

Bus Interface

Unknown

Transistors

RT Cores

Compute Units

12 Xe-cores

200

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.

200

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

TSMC

Process Size

3 nm

Blackwell 2.0

Architecture

Xe3

Memory Specifications

12GB

Memory Size

GDDR7

Memory Type

System Shared

192bit

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.

2500 MHz

Memory Clock

120.0GB/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.

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

1x HDMI 2.1
3x DisplayPort 1.4a

Outputs

eDP 1.5, DisplayPort 2.1 UHBR20, HDMI 2.1 FRL

Theoretical Performance

161.3 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.

60 GPixel/s

504.0 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.

120 GTexel/s

32.26 TFLOPS

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.

504.0 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.

31.615 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.

7.7 TFLOPS

AI Features

AI Software Frameworks Supported by GPU

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

GPU Peak TOPS (Int8)

122

Intel Deep Learning Boost on GPU

Yes

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.

6400

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.

1536

128 KB (per SM)

L1 Cache

768 KB

40 MB

L2 Cache

16 MB

220W

TDP

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

9.1

CUDA

12 Ultimate (12_2)

DirectX

DirectX 12 Ultimate

1x 16-pin

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.

6.7

Shader Model

550 W

Suggested PSU