AMD Radeon RX 7800M
About GPU
The AMD Radeon RX 7800M is a high-performance GPU designed for gaming and content creation on mobile platforms. With a base clock speed of 1825 MHz and a boost clock speed of 2145 MHz, this GPU delivers incredible speed and responsiveness for demanding applications. The 12GB of GDDR6 memory and a memory clock speed of 2250 MHz ensure smooth and seamless multitasking and gaming experiences.
One of the standout features of the Radeon RX 7800M is its impressive 3840 shading units, which contribute to its ability to handle complex graphics rendering with ease. Additionally, the 6MB L2 cache and a TDP of 180W make this GPU a powerhouse for high-resolution gaming and video editing.
In terms of performance, the Radeon RX 7800M boasts a theoretical performance of 36.587 TFLOPS, making it a top contender in the mobile GPU market. Whether you're a hardcore gamer or a content creator, this GPU is capable of handling the most demanding tasks with ease.
The AMD Radeon RX 7800M is a solid choice for those in need of a high-performance mobile GPU. Its impressive clock speeds, generous memory size, and advanced features make it a reliable and powerful option for anyone looking to take their gaming or content creation to the next level. If you're in the market for a mobile GPU that can deliver exceptional performance, the Radeon RX 7800M is definitely worth considering.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
September 2024
Model Name
Radeon RX 7800M
Generation
Navi Mobile
Base Clock
1825 MHz
Boost Clock
2145 MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
12GB
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.
192bit
Memory Clock
2250 MHz
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.
432GB/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.
401.3 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.
560.4 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.
71.73 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.
1121 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.
36.587
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.
3840
L1 Cache
256 KB per Array
L2 Cache
6 MB
TDP
180W
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
36.587
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS