Arc 130V
Intel Arc 130V vs AMD Radeon 780M
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the Intel Arc 130V and AMD Radeon 780M video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
Intel
AMD
Launch Date
September 2024
January 2023
Platform
Integrated
Integrated
Model Name
Intel Arc 130V GPU
Radeon 780M
Generation
Arc Graphics
Navi III IGP
Base Clock
400 MHz
1500MHz
Boost Clock
1.85 GHz
2900MHz
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.
896
768
Transistors
-
25,390 million
RT Cores
7
12
Compute Units
7 Xe-cores
12
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.
56
48
L1 Cache
-
128 KB per Array
L2 Cache
-
2MB
Bus Interface
-
PCIe 4.0 x8
Foundry
TSMC
TSMC
Process Size
3 nm
4 nm
Architecture
Xe2-LPG
RDNA 3.0
TDP
-
15W
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
eDP 1.5, DisplayPort 2.1 UHBR20, HDMI 2.1 FRL
Portable Device Dependent
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.
51.8 GPixel/s
92.80 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.
103.6 GTexel/s
139.2 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.
-
17.82 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.
-
556.8 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.
3.3
TFlops
8.558
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.
1.4
1.3
OpenCL Version
3.0
2.1
OpenGL
4.6
4.6
DirectX
DirectX 12.2
12 Ultimate (12_2)
Power Connectors
-
None
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.
28
32
Shader Model
-
6.7
Advantages
Arc 130V
- More Shading Units: 896 (896 vs 768)
- Newer Launch Date: September 2024 (September 2024 vs January 2023)
Radeon 780M
- Higher Boost Clock: 2900MHz (1.85 GHz vs 2900MHz)
FP32 (float)
Arc 130V
3.3
TFlops
Radeon 780M
+159%
8.558
TFlops
3DMark Time Spy
Arc 130V
+23%
3399
Radeon 780M
2755
Blender
Arc 130V
+140%
583.14
Radeon 780M
243
SiliconCat Rating
691
Ranks 691 among all GPU on our website
404
Ranks 404 among all GPU on our website
Radeon 780M
