NVIDIA RTX 4000 Ada Generation
About GPU
The NVIDIA RTX 4000 Ada Generation GPU is a powerhouse when it comes to desktop graphics processing. With a base clock of 1500MHz and a boost clock of 2175MHz, this GPU delivers incredibly fast and smooth performance for gaming, content creation, and other graphics-intensive tasks.
One of the standout features of the RTX 4000 is its impressive 20GB of GDDR6 memory, which allows for quick and efficient data processing. With a memory clock of 1750MHz and 48MB of L2 cache, this GPU can handle large and complex data sets with ease.
The RTX 4000 also boasts 6144 shading units, which further contribute to its exceptional performance capabilities. Whether you're rendering complex 3D models or playing the latest AAA games at high resolutions, this GPU has the processing power to handle it all.
Furthermore, with a TDP of 130W, the RTX 4000 strikes a good balance between performance and power efficiency. It's also worth noting that the theoretical performance of 26.73 TFLOPS ensures that this GPU can handle even the most demanding workloads.
Overall, the NVIDIA RTX 4000 Ada Generation GPU is a top-of-the-line option for anyone in need of a high-performance desktop graphics solution. Its impressive specs and unparalleled performance make it a must-have for professionals and enthusiasts alike.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
August 2023
Model Name
RTX 4000 Ada Generation
Generation
Quadro Ada
Base Clock
1500MHz
Boost Clock
2175MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
20GB
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.
160bit
Memory Clock
1750MHz
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.
280.0 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.
174.0 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.
417.6 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.
26.73 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.
417.6 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.
27.265
TFLOPS
Miscellaneous
SM Count
?
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
48
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.
6144
L1 Cache
128 KB (per SM)
L2 Cache
48MB
TDP
130W
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
3.0
Benchmarks
FP32 (float)
Score
27.265
TFLOPS
Blender
Score
5293
OpenCL
Score
149948
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OpenCL