Intel Arc A750 vs AMD Radeon RX 5700
GPU Comparison Result
Below are the results of a comparison of
Intel Arc A750
and
AMD Radeon RX 5700
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2400MHz (2400MHz vs 1725MHz)
- Higher Bandwidth: 512.0 GB/s (512.0 GB/s vs 448.0 GB/s)
- More Shading Units: 3584 (3584 vs 2304)
- Newer Launch Date: October 2022 (October 2022 vs July 2019)
Basic
Intel
Label Name
AMD
October 2022
Launch Date
July 2019
Desktop
Platform
Desktop
Arc A750
Model Name
Radeon RX 5700
Alchemist
Generation
Navi
2050MHz
Base Clock
1465MHz
2400MHz
Boost Clock
1725MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
21,700 million
Transistors
10,300 million
28
RT Cores
-
-
Compute Units
36
448
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.
-
224
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.
144
TSMC
Foundry
TSMC
6 nm
Process Size
7 nm
Generation 12.7
Architecture
RDNA 1.0
Memory Specifications
8GB
Memory Size
8GB
GDDR6
Memory Type
GDDR6
256bit
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
2000MHz
Memory Clock
1750MHz
512.0 GB/s
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.
448.0 GB/s
Theoretical Performance
268.8 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.
110.4 GPixel/s
537.6 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.
248.4 GTexel/s
34.41 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.
15.90 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.
496.8 GFLOPS
16.856
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.
8.108
TFLOPS
Miscellaneous
3584
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.
2304
16MB
L2 Cache
4MB
225W
TDP
180W
1.3
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
3.0
OpenCL Version
2.1
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 (12_1)
1x 6-pin + 1x 8-pin
Power Connectors
1x 6-pin + 1x 8-pin
6.6
Shader Model
6.5
112
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
550W
Suggested PSU
450W
Benchmarks
Shadow of the Tomb Raider 2160p
/ fps
Arc A750
41
+14%
Radeon RX 5700
36
Shadow of the Tomb Raider 1440p
/ fps
Arc A750
77
+12%
Radeon RX 5700
69
Shadow of the Tomb Raider 1080p
/ fps
Arc A750
98
Radeon RX 5700
107
+9%
FP32 (float)
/ TFLOPS
Arc A750
16.856
+108%
Radeon RX 5700
8.108
3DMark Time Spy
Arc A750
12297
+41%
Radeon RX 5700
8706
Blender
Arc A750
2014
+108%
Radeon RX 5700
966.13