Intel Arc A380M vs AMD Radeon 740M
GPU Comparison Result
Below are the results of a comparison of Intel Arc A380M and AMD Radeon 740M video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Larger Memory Size: 6GB (6GB vs System Shared)
- Higher Bandwidth: 186.0 GB/s (186.0 GB/s vs System Dependent)
- More Shading Units: 1024 (1024 vs 256)
- Higher Boost Clock: 2500MHz (2000MHz vs 2500MHz)
Basic
Intel
Label Name
AMD
January 2023
Launch Date
January 2023
Mobile
Platform
Integrated
Arc A380M
Model Name
Radeon 740M
Alchemist
Generation
Navi III IGP
1550MHz
Base Clock
1500MHz
2000MHz
Boost Clock
2500MHz
MXM-A (3.1)
Bus Interface
PCIe 4.0 x8
Memory Specifications
6GB
Memory Size
System Shared
GDDR6
Memory Type
System Shared
96bit
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.
System Shared
1937MHz
Memory Clock
SystemShared
186.0 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.
System Dependent
Theoretical Performance
64.00 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.
20.00 GPixel/s
128.0 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.
40.00 GTexel/s
8.192 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.
5.120 TFLOPS
1024 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.
160.0 GFLOPS
4.014
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.
2.509
TFLOPS
Miscellaneous
1024
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.
256
-
L1 Cache
128 KB per Array
4MB
L2 Cache
2MB
35W
TDP
15W
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
Benchmarks
FP32 (float)
/ TFLOPS
Arc A380M
4.014
+60%
Radeon 740M
2.509
