T550 Mobile
NVIDIA T550 Mobile vs AMD Radeon Vega 8
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the NVIDIA T550 Mobile and AMD Radeon Vega 8 video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
NVIDIA
AMD
Launch Date
May 2022
January 2021
Platform
Mobile
Integrated
Model Name
T550 Mobile
Radeon Vega 8
Generation
Quadro Mobile
Cezanne
Base Clock
1065MHz
300MHz
Boost Clock
1665MHz
2000MHz
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.
1024
512
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
4,700 million
9,800 million
Compute Units
-
8
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.
64
32
L1 Cache
64 KB (per SM)
-
L2 Cache
1024KB
-
Bus Interface
PCIe 3.0 x16
IGP
Foundry
TSMC
TSMC
Process Size
12 nm
7 nm
Architecture
Turing
GCN 5.1
TDP
23W
45W
Memory Specifications
Memory Size
4GB
System Shared
Memory Type
GDDR6
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.
64bit
System Shared
Memory Clock
1500MHz
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.
96.00 GB/s
System 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.
53.28 GPixel/s
16.00 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.
106.6 GTexel/s
64.00 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.
6.820 TFLOPS
4.096 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.
106.6 GFLOPS
128.0 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.
3.409
TFlops
2.047
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
1.2
OpenCL Version
3.0
2.1
OpenGL
4.6
4.6
DirectX
12 (12_1)
12 (12_1)
CUDA
7.5
-
Power Connectors
None
None
Shader Model
6.6
6.4
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.
32
8
Advantages
T550 Mobile
- More Shading Units: 1024 (1024 vs 512)
- Larger Memory Size: 4GB (4GB vs System Shared)
- Higher Bandwidth: 96.00 GB/s (96.00 GB/s vs System Dependent)
- Newer Launch Date: May 2022 (May 2022 vs January 2021)
Radeon Vega 8
- Higher Boost Clock: 2000MHz (1665MHz vs 2000MHz)
FP32 (float)
T550 Mobile
+67%
3.409
TFlops
Radeon Vega 8
2.047
TFlops
3DMark Time Spy
T550 Mobile
2282
Radeon Vega 8
+20%
2742
Blender
T550 Mobile
+305%
251
Radeon Vega 8
62
SiliconCat Rating
141
Ranks 141 among Mobile GPU on our website
602
Ranks 602 among all GPU on our website
775
Ranks 775 among all GPU on our website
Radeon Vega 8
