AMD Radeon Vega 6 Mobile vs NVIDIA GeForce MX570
GPU Comparison Result
Below are the results of a comparison of AMD Radeon Vega 6 Mobile and NVIDIA GeForce MX570 video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 1600MHz (1600MHz vs 1155MHz)
- Larger Memory Size: 2GB (System Shared vs 2GB)
- Higher Bandwidth: 96.00 GB/s (System Dependent vs 96.00 GB/s)
- More Shading Units: 2048 (384 vs 2048)
- Newer Launch Date: May 2022 (April 2021 vs May 2022)
Basic
AMD
Label Name
NVIDIA
April 2021
Launch Date
May 2022
Integrated
Platform
Mobile
Radeon Vega 6 Mobile
Model Name
GeForce MX570
Cezanne
Generation
GeForce MX
300MHz
Base Clock
832MHz
1600MHz
Boost Clock
1155MHz
IGP
Bus Interface
PCIe 4.0 x8
9,800 million
Transistors
Unknown
-
RT Cores
16
6
Compute Units
-
-
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
24
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
TSMC
Foundry
Samsung
7 nm
Process Size
8 nm
GCN 5.1
Architecture
Ampere
Memory Specifications
System Shared
Memory Size
2GB
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
SystemShared
Memory Clock
1500MHz
System Dependent
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
Theoretical Performance
12.80 GPixel/s
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.
46.20 GPixel/s
38.40 GTexel/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.
73.92 GTexel/s
2.458 TFLOPS
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.
4.731 TFLOPS
76.80 GFLOPS
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.
73.92 GFLOPS
1.254
TFLOPS
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.
4.636
TFLOPS
Miscellaneous
-
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
384
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
-
L1 Cache
128 KB (per SM)
-
L2 Cache
2MB
45W
TDP
25W
1.2
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
2.1
OpenCL Version
3.0
4.6
OpenGL
4.6
12 (12_1)
DirectX
12 Ultimate (12_2)
-
CUDA
8.6
None
Power Connectors
None
6.4
Shader Model
6.6
8
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.
40
Benchmarks
FP32 (float)
/ TFLOPS
Radeon Vega 6 Mobile
1.254
GeForce MX570
4.636
+270%
