AMD Radeon PRO W7800 48 GB
About GPU
The AMD Radeon PRO W7800 is a remarkable entry into the professional GPU market, boasting impressive specs that cater to demanding workloads in content creation, 3D rendering, and data analysis. With a generous 48GB of GDDR6 memory, it provides ample headroom for handling high-resolution textures and complex datasets, making it a robust choice for professionals.
Operating at a base clock speed of 1895 MHz and a boost clock of 2525 MHz, the W7800 delivers a theoretical performance of 46.155 TFLOPS. This power translates into exceptional performance in both real-time rendering and large-scale simulations, making it an ideal fit for professionals who require speed and efficiency. The 4480 shading units contribute to its ability to tackle intricate graphical tasks with ease.
The memory clock speed of 2250 MHz ensures swift data access and enhances overall performance, while the 6 MB L2 Cache optimizes workloads, minimizing latency. With a TDP of 281W, the GPU performs efficiently without consuming excessive power, which is a plus for environmentally conscious users.
In summary, the AMD Radeon PRO W7800 stands out as a solid choice for professionals seeking a high-performance GPU that can handle intensive applications with grace. Its combination of large memory capacity, impressive clock speeds, and powerful theoretical performance makes it a formidable tool in any workstation setup. Whether for visual effects, machine learning, or complex computations, the W7800 is poised to meet the demands of modern workflows.
Basic
Label Name
AMD
Platform
Desktop
Launch Date
April 2023
Model Name
Radeon PRO W7800 48 GB
Generation
Radeon Pro Navi(Navi III Series)
Base Clock
1895 MHz
Boost Clock
2525 MHz
Bus Interface
PCIe 4.0 x16
Transistors
57.7 billion
RT Cores
70
Compute Units
70
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.
280
Foundry
TSMC
Process Size
5 nm
Architecture
RDNA 3.0
Memory Specifications
Memory Size
48GB
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.
384bit
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.
864.0GB/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.
323.2 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.
707.0 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.
90.50 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.
1414 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.
46.155
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.
4480
L1 Cache
256 KB per Array
L2 Cache
6 MB
TDP
281W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
Power Connectors
2x 8-pin
Shader Model
6.8
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.
128
Suggested PSU
600 W
Benchmarks
FP32 (float)
Score
46.155
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS