AMD Radeon RX 6300
About GPU
The AMD Radeon RX 6300 is an entry-level desktop GPU that offers solid performance for budget-conscious gamers and casual users. With a base clock of 1000MHz and a boost clock of 2040MHz, this GPU provides decent clock speeds for running a variety of applications and games. The 2GB of GDDR6 memory with a memory clock of 2000MHz ensures smooth and responsive gameplay, even at higher resolutions.
The 768 shading units and 1024KB of L2 cache contribute to the GPU's ability to handle a decent level of graphics processing tasks. With a TDP of 32W, the RX 6300 is also relatively power-efficient, making it a good choice for systems where power consumption is a concern.
In terms of performance, the RX 6300 delivers a theoretical performance of 3.133 TFLOPS, which is respectable for an entry-level GPU. While it may not be able to handle the latest AAA titles at maximum settings, it is more than capable of running older or less demanding games smoothly.
Overall, the AMD Radeon RX 6300 is a solid choice for budget-conscious users who are looking for a capable GPU for their desktop systems. Its combination of decent clock speeds, memory capacity, and power efficiency make it a good option for those looking to build a budget gaming rig or upgrade their existing system without breaking the bank.
Basic
Label Name
AMD
Platform
Desktop
Model Name
Radeon RX 6300
Generation
Navi II
Base Clock
1000MHz
Boost Clock
2040MHz
Bus Interface
PCIe 4.0 x4
Memory Specifications
Memory Size
2GB
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.
32bit
Memory Clock
2000MHz
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.
64.00 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.
65.28 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.
97.92 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.
6.267 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.
195.8 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.
3.07
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.
768
L1 Cache
128 KB per Array
L2 Cache
1024KB
TDP
32W
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
2.2
Benchmarks
FP32 (float)
Score
3.07
TFLOPS
Vulkan
Score
27656
OpenCL
Score
23294
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL