Arc A550M
							Intel Arc A550M vs NVIDIA GeForce RTX 4050 Mobile
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the Intel Arc A550M and NVIDIA GeForce RTX 4050 Mobile video cards. This comparison will help you determine which one best suits your needs.
Basic
                                        Label Name
                                    
                                    
                                        Intel
                                                                            
                                    
                                        NVIDIA
                                                                            
                                
                                        Launch Date
                                    
                                    
                                        January 2022
                                                                            
                                    
                                        January 2023
                                                                                    
                                                                            
                                
                                        Platform
                                    
                                    
                                        Mobile
                                                                            
                                    
                                        Mobile
                                                                            
                                
                                Model Name
                                                            
                            
                                Arc A550M
                                                                                            
                            
                                GeForce RTX 4050 Mobile
                                                                                            
                        
                                Generation
                                                            
                            
                                Alchemist
                                                                                            
                            
                                GeForce 40 Mobile
                                                                                            
                        
                                Base Clock
                                                            
                            
                                300MHz
                                                                                            
                            
                                1455MHz
                                                                                            
                        
                                Boost Clock
                                                            
                            
                                900MHz
                                                                                            
                            
                                1755MHz
                                                                                                    
                                                            
                        
                                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.
                                    
                                2048
                                                                                            
                            
                                2560
                                                                                                    
                                                            
                        
                                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.
                                    
                                -
                                                                                            
                            
                                20
                                                                                            
                        
                                Transistors
                                                            
                            
                                21,700 million
                                                                                            
                            
                                Unknown
                                                                                            
                        
                                RT Cores
                                                            
                            
                                16
                                                                                            
                            
                                20
                                                                                            
                        
                                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.
                                    
                                -
                                                                                            
                            
                                80
                                                                                            
                        
                                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.
                                    
                                128
                                                                                            
                            
                                80
                                                                                            
                        
                                L1 Cache
                                                            
                            
                                -
                                                                                            
                            
                                128 KB (per SM)
                                                                                            
                        
                                L2 Cache
                                                            
                            
                                8MB
                                                                                            
                            
                                12MB
                                                                                            
                        
                                Bus Interface
                                                            
                            
                                PCIe 4.0 x16
                                                                                            
                            
                                PCIe 4.0 x16
                                                                                            
                        
                                Foundry
                                                            
                            
                                TSMC
                                                                                            
                            
                                TSMC
                                                                                            
                        
                                Process Size
                                                            
                            
                                6 nm
                                                                                            
                            
                                5 nm
                                                                                            
                        
                                Architecture
                                                            
                            
                                Generation 12.7
                                                                                            
                            
                                Ada Lovelace
                                                                                            
                        
                                TDP
                                                            
                            
                                60W
                                                                                            
                            
                                50W
                                                                                            
                        Memory Specifications
                                Memory Size
                                                            
                            
                                8GB
                                                                                                    
                                                            
                            
                                6GB
                                                                                            
                        
                                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.
                                    
                                128bit
                                                                                            
                            
                                96bit
                                                                                            
                        
                                Memory Clock
                                                            
                            
                                1750MHz
                                                                                            
                            
                                2000MHz
                                                                                            
                        
                                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.
                                    
                                224.0 GB/s
                                                                                                    
                                                            
                            
                                192.0 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.
                                    
                                57.60 GPixel/s
                                                                                            
                            
                                84.24 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.
                                    
                                115.2 GTexel/s
                                                                                            
                            
                                140.4 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.
                                    
                                7.373 TFLOPS
                                                                                            
                            
                                8.986 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.
                                    
                                -
                                                                                            
                            
                                140.4 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.
                                    
                                3.612
                                                                    TFlops
                                                                                            
                            
                                9.165
                                                                    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
                                                            
                            
                                -
                                                                                            
                            
                                8.9
                                                                                            
                        
                                DirectX
                                                            
                            
                                12 Ultimate (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.
                                    
                                64
                                                                                            
                            
                                48
                                                                                            
                        
                                Shader Model
                                                            
                            
                                6.6
                                                                                            
                            
                                6.7
                                                                                            
                        Advantages
 
                                                            
                                        Arc A550M
                                    
                                    - Larger Memory Size: 8GB (8GB vs 6GB)
- Higher Bandwidth: 224.0 GB/s (224.0 GB/s vs 192.0 GB/s)
 
                                                            
                                        GeForce RTX 4050 Mobile
                                    
                                    - Higher Boost Clock: 1755MHz (900MHz vs 1755MHz)
- More Shading Units: 2560 (2048 vs 2560)
- Newer Launch Date: January 2023 (January 2022 vs January 2023)
FP32 (float)
                                            Arc A550M
                                        
                                    
                                                                                
                                                                                        3.612
                                        
                                        TFlops
                                    
                                    
                                            GeForce RTX 4050 Mobile
                                        
                                    
                                                                                    
                                                +154%
                                            
                                                                                
                                                                                        9.165
                                        
                                        TFlops
                                    
                                    3DMark Time Spy
                                            Arc A550M
                                        
                                    
                                                                                
                                                                                        5182
                                        
                                        
                                    
                                    
                                            GeForce RTX 4050 Mobile
                                        
                                    
                                                                                    
                                                +60%
                                            
                                                                                
                                                                                        8279
                                        
                                        
                                    
                                    Blender
                                            Arc A550M
                                        
                                    
                                                                                
                                                                                        847
                                        
                                        
                                    
                                    
                                            GeForce RTX 4050 Mobile
                                        
                                    
                                                                                    
                                                +234%
                                            
                                                                                
                                                                                        2828
                                        
                                        
                                    
                                    SiliconCat Rating
								144
							
							
								Ranks 144 among Mobile GPU on our website
							
						
								639
							
							
								Ranks 639 among all GPU on our website
							
						
								61
							
							
								Ranks 61 among Mobile GPU on our website
							
						
								367
							
							
								Ranks 367 among all GPU on our website
							
						GeForce RTX 4050 Mobile
							 
                                                             
                                                            