AMD Radeon RX 5300
About GPU
The AMD Radeon RX 5300 is a solid budget-friendly GPU option for entry-level gamers or those looking for a cost-effective graphics solution for their desktop PC. With a base clock of 1327MHz and a boost clock of 1645MHz, this GPU offers decent performance for its price point, making it a good choice for casual or light gaming.
The 3GB GDDR6 memory size and 1750MHz memory clock provide sufficient memory bandwidth for gaming at 1080p resolutions and basic video editing tasks. The 1408 shading units and 1536KB L2 cache contribute to smooth and efficient graphics rendering, while the 100W TDP ensures that the GPU operates within reasonable power consumption levels.
In terms of performance, the AMD Radeon RX 5300 offers a theoretical performance of 4.632 TFLOPS, which is respectable for the GPU's market positioning. While it may not compete with higher-end GPUs in terms of raw power, it delivers solid performance for its intended use case.
Overall, the AMD Radeon RX 5300 is a reliable and affordable GPU option for those looking for basic gaming and multimedia capabilities. It strikes a good balance between price and performance, making it a suitable choice for budget-conscious consumers. However, for more demanding gaming or professional workloads, users may want to consider higher-tier GPU options with greater memory capacity and processing power.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
May 2020
Model Name
Radeon RX 5300
Generation
Navi
Base Clock
1327MHz
Boost Clock
1645MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
3GB
Memory Type
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.
96bit
Memory Clock
1750MHz
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.
168.0 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.
52.64 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.
144.8 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.
9.265 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.
289.5 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.
4.725
TFLOPS
Miscellaneous
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.
1408
L2 Cache
1536KB
TDP
100W
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
OpenCL Version
2.1
Benchmarks
FP32 (float)
Score
4.725
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS