Arc A350M
Intel Arc A350M vs NVIDIA GeForce RTX 2050 Mobile
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the Intel Arc A350M and NVIDIA GeForce RTX 2050 Mobile video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
Intel
NVIDIA
Launch Date
March 2022
December 2021
Platform
Mobile
Mobile
Model Name
Arc A350M
GeForce RTX 2050 Mobile
Generation
Alchemist
GeForce 20 Mobile
Base Clock
300MHz
1185MHz
Boost Clock
1150MHz
1477MHz
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.
768
2048
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.
-
16
Transistors
7,200 million
Unknown
RT Cores
6
32
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.
-
64
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
64
L1 Cache
-
64 KB (per SM)
L2 Cache
4MB
2MB
Bus Interface
PCIe 4.0 x8
PCIe 3.0 x8
Foundry
TSMC
Samsung
Process Size
6 nm
8 nm
Architecture
Generation 12.7
Ampere
TDP
25W
45W
Memory Specifications
Memory Size
4GB
4GB
Memory Type
GDDR6
GDDR6
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.
64bit
64bit
Memory Clock
1750MHz
1750MHz
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.
112.0 GB/s
112.0 GB/s
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.
27.60 GPixel/s
47.26 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.
55.20 GTexel/s
94.53 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.
3.533 TFLOPS
12.10 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.
441.6 GFLOPS
189.1 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.
1.801
TFlops
6.048
TFlops
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
1.3
OpenCL Version
3.0
3.0
OpenGL
4.6
4.6
CUDA
-
8.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
Power Connectors
-
1x 6-pin
Shader Model
6.6
6.6
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
32
Advantages
Arc A350M
- Newer Launch Date: March 2022 (March 2022 vs December 2021)
GeForce RTX 2050 Mobile
- Higher Boost Clock: 1477MHz (1150MHz vs 1477MHz)
- More Shading Units: 2048 (768 vs 2048)
FP32 (float)
Arc A350M
1.801
TFlops
GeForce RTX 2050 Mobile
+236%
6.048
TFlops
3DMark Time Spy
Arc A350M
2758
GeForce RTX 2050 Mobile
+27%
3499
SiliconCat Rating
204
Ranks 204 among Mobile GPU on our website
830
Ranks 830 among all GPU on our website
80
Ranks 80 among Mobile GPU on our website
413
Ranks 413 among all GPU on our website
GeForce RTX 2050 Mobile
