Intel Arc A770M vs Intel Arc A580
GPU Comparison Result
Below are the results of a comparison of Intel Arc A770M and Intel Arc A580 video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Larger Memory Size: 16GB (16GB vs 8GB)
- More Shading Units: 4096 (4096 vs 3072)
- Higher Boost Clock: 2000MHz (1650MHz vs 2000MHz)
- Newer Launch Date: October 2023 (January 2022 vs October 2023)
Basic
Intel
Label Name
Intel
January 2022
Launch Date
October 2023
Mobile
Platform
Desktop
Arc A770M
Model Name
Arc A580
Alchemist
Generation
Alchemist
300MHz
Base Clock
1700MHz
1650MHz
Boost Clock
2000MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
Memory Specifications
16GB
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
2000MHz
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.
512.0 GB/s
Theoretical Performance
211.2 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.
192.0 GPixel/s
422.4 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.
384.0 GTexel/s
27.03 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.
24.58 TFLOPS
13.25
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.
12.044
TFLOPS
Miscellaneous
4096
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
16MB
L2 Cache
8MB
120W
TDP
175W
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
3.0
Benchmarks
FP32 (float)
/ TFLOPS
Arc A770M
13.25
+10%
Arc A580
12.044
Blender
Arc A770M
1428
Arc A580
1661
+16%
