Iris Xe Graphics 80EU
Intel Iris Xe Graphics 80EU vs Intel Arc 130V
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the Intel Iris Xe Graphics 80EU and Intel Arc 130V video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
Intel
Intel
Launch Date
January 2022
September 2024
Platform
Integrated
Integrated
Model Name
Iris Xe Graphics 80EU
Intel Arc 130V GPU
Generation
HD Graphics-M
Arc Graphics
Base Clock
300MHz
400 MHz
Boost Clock
1300MHz
1.85 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.
640
896
Transistors
Unknown
-
RT Cores
-
7
Compute Units
-
7 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.
40
56
L2 Cache
1024KB
-
Bus Interface
Ring Bus
-
Foundry
Intel
TSMC
Process Size
10 nm
3 nm
Architecture
Generation 12.2
Xe2-LPG
TDP
45W
-
Memory Specifications
Memory Size
System Shared
-
Memory Type
System Shared
System Shared
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.
System Shared
-
Memory Clock
SystemShared
-
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.
System Dependent
-
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
Max Resolution HDMI
-
4096 x 2304 @ 60Hz (HDMI 2.1 TMDS), 7680 x 4320 @ 60Hz (HDMI 2.1 FRL)
Number of Displays Supported
-
3
Outputs
No 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.
26.00 GPixel/s
51.8 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.
52.00 GTexel/s
103.6 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.
3.328 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.
416.0 GFLOPS
-
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.
1.599
TFlops
3.3
TFlops
AI Features
AI Software Frameworks Supported by GPU
-
OpenVINO, WindowsML, DirectML, ONNX RT, WebGPU, WebNN
GPU Peak TOPS (Int8)
-
53
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.
1.3
1.4
OpenCL Version
3.0
3.0
OpenGL
4.6
4.6
DirectX
12 (12_1)
DirectX 12.2
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.
20
28
Shader Model
6.4
-
Advantages
Iris Xe Graphics 80EU
- Higher Boost Clock: 1300MHz (1300MHz vs 1.85 GHz)
Arc 130V
- More Shading Units: 896 (640 vs 896)
- Newer Launch Date: September 2024 (January 2022 vs September 2024)
FP32 (float)
Iris Xe Graphics 80EU
1.599
TFlops
Arc 130V
+106%
3.3
TFlops
3DMark Time Spy
Iris Xe Graphics 80EU
1216
Arc 130V
+180%
3399
Blender
Iris Xe Graphics 80EU
147
Arc 130V
+297%
583.14
SiliconCat Rating
947
Ranks 947 among all GPU on our website
691
Ranks 691 among all GPU on our website
Arc 130V
