AMD Radeon RX 5300M
The AMD Radeon RX 5300M is a mid-range mobile GPU that offers respectable performance for gaming and content creation on laptops. With its base clock of 1000MHz and boost clock of 1445MHz, the RX 5300M is capable of delivering smooth frame rates in popular titles at medium to high settings. The 3GB of GDDR6 memory, running at a speed of 1750MHz, provides enough bandwidth for handling modern game textures and assets.
The RX 5300M is equipped with 1408 shading units and 2MB of L2 cache, allowing it to efficiently process complex graphical workloads. With a TDP of 85W, the GPU strikes a good balance between performance and power efficiency, making it suitable for thin and light gaming laptops.
In terms of actual performance, the RX 5300M boasts a theoretical performance of 4.069 TFLOPS, which puts it in the same league as other mid-range mobile GPUs. In real-world usage, the RX 5300M is capable of handling modern games at 1080p resolution with playable frame rates, making it a suitable choice for gamers on a budget.
Overall, the AMD Radeon RX 5300M is a competent mid-range mobile GPU that offers good performance for gaming and content creation on laptops. Its efficiency, decent memory size, and theoretical performance make it a solid choice for consumers looking for a capable GPU in the mid-range segment.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
November 2019
Model Name
Radeon RX 5300M
Generation
Mobility Radeon
Base Clock
1000MHz
Boost Clock
1445MHz
Bus Interface
PCIe 4.0 x8
Transistors
6,400 million
Compute Units
22
TMUs
?
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
88
Foundry
TSMC
Process Size
7 nm
Architecture
RDNA 1.0
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.
46.24 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.
127.2 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.
8.138 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.
254.3 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.
4.15
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
2MB
TDP
85W
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
OpenGL
4.6
DirectX
12 (12_1)
Power Connectors
None
Shader Model
6.5
ROPs
?
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
32
Benchmarks
FP32 (float)
Score
4.15
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS