AMD Radeon 8065S Graphics
vs
Intel Arc B390

vs

GPU Comparison Result

Below are the results of a comparison of AMD Radeon 8065S Graphics and Intel Arc B390 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

  • Higher Boost Clock: 3000 MHz (3000 MHz vs 2.5 GHz)
  • More Shading Units: 2560 (2560 vs 1536)
  • Newer Launch Date: May 2026 (May 2026 vs January 2026)

Basic

AMD
Label Name
Intel
May 2026
Launch Date
January 2026
Integrated
Platform
Integrated
-
GPU Lithography
TSMC N3E
AMD Radeon 8065S Graphics
Model Name
Intel Arc B390 GPU
Radeon 8000S
Generation
Arc B-Series
-
Base Clock
300 MHz
3000 MHz
Boost Clock
2.5 GHz
Integrated
Bus Interface
-
40
RT Cores
12
40
Compute Units
12 Xe-cores
No
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.
-
160
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.
48
TSMC
Foundry
TSMC
4 nm
Process Size
3 nm
RDNA 3.5
Architecture
Xe3

Memory Specifications

System Shared
Memory Size
-
System Shared LPDDR5x
Memory Type
System Shared
256-bit
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.
-
LPDDR5x-8533
Memory Clock
-
273 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.
-

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
4
-
Outputs
eDP 1.5, DisplayPort 2.1 UHBR20, HDMI 2.1 FRL

Theoretical Performance

192 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
480 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
30.72 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.
-
480 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.
-
15.36 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

2560
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
-
L1 Cache
768 KB
-
L2 Cache
16 MB
-
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
2.1
OpenCL Version
3.0
4.6
OpenGL
4.6
No
CUDA
-
12
DirectX
DirectX 12 Ultimate
None
Power Connectors
-
64
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.
24
6.8
Shader Model
-

Benchmarks

FP32 (float) / TFLOPS
Radeon 8065S Graphics
15.36 +99%
Arc B390
7.7