AMD Radeon RX 7900M
About GPU
The AMD Radeon RX 7900M is a high-end mobile GPU that boasts impressive specifications and performance. With a base clock of 1825MHz and a boost clock of 2090MHz, this GPU offers exceptional speed and power for demanding gaming and professional applications. The 16GB of GDDR6 memory, with a memory clock of 2250MHz, ensures smooth and responsive performance even when handling large datasets and high-resolution textures.
One of the standout features of the RX 7900M is its 4608 shading units, which allow for complex lighting and shadow effects, as well as realistic rendering in games and 3D applications. The 6MB L2 cache further enhances the GPU's ability to handle intensive workloads efficiently.
In terms of power consumption, the RX 7900M has a TDP of 180W, which is reasonable considering the high performance it delivers. The 38.52 TFLOPS theoretical performance demonstrates the GPU's capability to handle compute-intensive tasks with ease.
Overall, the AMD Radeon RX 7900M is a top-tier mobile GPU that offers exceptional performance for gaming and professional applications. Its impressive specifications, including high clock speeds, generous memory capacity, and a large number of shading units, make it a compelling choice for users who demand the best possible graphics performance from their mobile devices. Whether you're a gamer, content creator, or professional user, the RX 7900M is well-equipped to handle the most demanding tasks with ease.
Basic
Label Name
AMD
Platform
Mobile
Launch Date
October 2023
Model Name
Radeon RX 7900M
Generation
Navi Mobile
Base Clock
1825MHz
Boost Clock
2090MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
16GB
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.
256bit
Memory Clock
2250MHz
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.
576.0 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.
267.5 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.
601.9 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.
77.05 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.
1204 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.
37.75
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.
4608
L1 Cache
256 KB per Array
L2 Cache
6MB
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
37.75
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS