Radeon PRO W7700
AMD Radeon PRO W7700 vs Intel Arc A580
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the AMD Radeon PRO W7700 and Intel Arc A580 video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
AMD
Intel
Launch Date
November 2023
October 2023
Platform
Desktop
Desktop
Model Name
Radeon PRO W7700
Arc A580
Generation
Radeon Pro Navi
Alchemist
Base Clock
1900MHz
1700MHz
Boost Clock
2600MHz
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.
3072
3072
Transistors
28,100 million
21,700 million
RT Cores
48
24
Compute Units
48
-
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.
-
384
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.
192
192
L1 Cache
128 KB per Array
-
L2 Cache
2MB
8MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x16
Foundry
TSMC
TSMC
Process Size
5 nm
6 nm
Architecture
RDNA 3.0
Generation 12.7
TDP
190W
175W
Memory Specifications
Memory Size
16GB
8GB
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.
256bit
256bit
Memory Clock
2250MHz
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.
576.0 GB/s
512.0 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.
249.6 GPixel/s
192.0 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.
499.2 GTexel/s
384.0 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.
63.90 TFLOPS
24.58 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.
998.4 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.
31.308
TFlops
12.286
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
2.2
3.0
OpenGL
4.6
4.6
DirectX
12 Ultimate (12_2)
12 Ultimate (12_2)
Power Connectors
1x 8-pin
2x 8-pin
Shader Model
6.7
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.
96
96
Suggested PSU
450W
450W
Advantages
Radeon PRO W7700
- Higher Boost Clock: 2600MHz (2600MHz vs 2000MHz)
- Larger Memory Size: 16GB (16GB vs 8GB)
- Higher Bandwidth: 576.0 GB/s (576.0 GB/s vs 512.0 GB/s)
- Newer Launch Date: November 2023 (November 2023 vs October 2023)
FP32 (float)
Radeon PRO W7700
+155%
31.308
TFlops
Arc A580
12.286
TFlops
SiliconCat Rating
46
Ranks 46 among Desktop GPU on our website
82
Ranks 82 among all GPU on our website
122
Ranks 122 among Desktop GPU on our website
244
Ranks 244 among all GPU on our website
Arc A580
