AMD FirePro W4000
The AMD FirePro W4000 GPU is a solid mid-range graphics card that offers excellent performance for professional applications. With 2GB of GDDR5 memory and a memory clock of 800MHz, it provides ample memory bandwidth for handling large datasets and complex rendering tasks. The 768 shading units and 1.267 TFLOPS theoretical performance make it suitable for a wide range of professional workflows, including 3D modeling, CAD/CAM, and content creation.
One of the standout features of the FirePro W4000 is its low TDP of 75W, which makes it an energy-efficient option for desktop workstations. Despite its low power consumption, it still delivers impressive performance and can handle demanding tasks without breaking a sweat. Additionally, the 512KB L2 cache helps to improve overall performance and reduce memory latency, resulting in smoother and more responsive operation.
In terms of real-world performance, the FirePro W4000 excels in handling large datasets and complex visualizations. It can easily handle multiple 4K displays and deliver smooth, artifact-free performance. The GPU is also certified for use with a wide range of professional applications, ensuring compatibility and reliability for professional users.
Overall, the AMD FirePro W4000 GPU is a solid choice for professionals in need of reliable and efficient graphics performance. Its combination of high memory bandwidth, impressive theoretical performance, and energy efficiency make it a compelling option for a wide range of desktop workstations. Whether you're working on 3D visualizations, complex simulations, or content creation, the FirePro W4000 has the performance and reliability to handle the job.
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Basic
Label Name
AMD
Platform
Desktop
Launch Date
August 2012
Model Name
FirePro W4000
Generation
FirePro
Bus Interface
PCIe 3.0 x16
Transistors
2,800 million
Compute Units
12
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.
48
Foundry
TSMC
Process Size
28 nm
Architecture
GCN 1.0
Memory Specifications
Memory Size
2GB
Memory Type
GDDR5
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
800MHz
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.
102.4 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.
26.40 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.
39.60 GTexel/s
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.
79.20 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.
1.242
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.
768
L1 Cache
16 KB (per CU)
L2 Cache
512KB
TDP
75W
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.
1.2
OpenCL Version
1.2
OpenGL
4.6
DirectX
12 (11_1)
Power Connectors
None
Shader Model
5.1
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
Suggested PSU
250W
Benchmarks
FP32 (float)
Score
1.242
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS