Intel Arc A580 vs AMD Radeon RX 7600 XT
GPU Comparison Result
Below are the results of a comparison of Intel Arc A580 and AMD Radeon RX 7600 XT video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Bandwidth: 512.0 GB/s (512.0 GB/s vs 288.0 GB/s)
- More Shading Units: 3072 (3072 vs 2048)
- Newer Launch Date: October 2023 (October 2023 vs May 2023)
- Higher Boost Clock: 2615MHz (2000MHz vs 2615MHz)
Basic
Intel
Label Name
AMD
October 2023
Launch Date
May 2023
Desktop
Platform
Desktop
Arc A580
Model Name
Radeon RX 7600 XT
Alchemist
Generation
Navi III
1700MHz
Base Clock
1500MHz
2000MHz
Boost Clock
2615MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
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.
128bit
2000MHz
Memory Clock
2250MHz
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.
288.0 GB/s
Theoretical Performance
192.0 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.
167.4 GPixel/s
384.0 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.
334.7 GTexel/s
24.58 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.
42.84 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.
669.4 GFLOPS
12.044
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.
20.992
TFLOPS
Miscellaneous
3072
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 Array
8MB
L2 Cache
2MB
175W
TDP
120W
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
2.2
Benchmarks
FP32 (float)
/ TFLOPS
Arc A580
12.044
Radeon RX 7600 XT
20.992
+74%
