AMD Radeon Pro 5300M
The AMD Radeon Pro 5300M is a powerful and efficient GPU designed for mobile platforms. With a base clock of 1000MHz and a boost clock of 1250MHz, this GPU offers impressive performance for both professional and gaming applications. The 4GB of GDDR6 memory and a memory clock of 1500MHz provide fast and efficient access to graphics data, while the 2MB L2 cache helps to improve overall performance.
With 1280 shading units, the AMD Radeon Pro 5300M is well-equipped to handle demanding graphics tasks, offering smooth and crisp visuals. The 3.2 TFLOPS theoretical performance further underlines its capability for handling complex graphics workloads. Additionally, with a TDP of 85W, the GPU strikes a good balance between performance and power efficiency, making it suitable for use in a wide range of mobile devices.
Overall, the AMD Radeon Pro 5300M is a solid choice for professionals and gamers who require a high-performance GPU in their laptops. Its combination of high clock speeds, ample memory, and efficient power usage make it a versatile option for those who need reliable graphics performance on the go. Whether it's for graphic design, video editing, or gaming, the AMD Radeon Pro 5300M offers impressive performance and is a worthy consideration for anyone in need of a mobile GPU upgrade.
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Basic
Label Name
AMD
Platform
Mobile
Launch Date
November 2019
Model Name
Radeon Pro 5300M
Generation
Radeon Pro Mac
Base Clock
1000MHz
Boost Clock
1250MHz
Bus Interface
PCIe 4.0 x8
Transistors
6,400 million
Compute Units
20
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.
80
Foundry
TSMC
Process Size
7 nm
Architecture
RDNA 1.0
Memory Specifications
Memory Size
4GB
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.
128bit
Memory Clock
1500MHz
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.
192.0 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.
40.00 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.
100.0 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.
6.400 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.
200.0 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.
3.264
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.
1280
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
3.264
TFLOPS
Vulkan
Score
24807
OpenCL
Score
29139
Compared to Other GPU
FP32 (float)
/ TFLOPS
Vulkan
OpenCL