NVIDIA GeForce RTX 5090
About GPU
The NVIDIA GeForce RTX 5090 is an absolute powerhouse of a GPU that delivers outstanding performance for desktop users. With a base clock of 2235 MHz and a boost clock of 2520 MHz, this GPU offers lightning-fast speeds that are perfect for demanding tasks such as gaming, video editing, and 3D rendering.
The 28GB of GDDR7 memory and a memory clock of 2500 MHz ensure that users have access to ample memory and fast data transfer speeds, allowing for smooth and efficient multitasking.
The 20480 shading units and 88 MB of L2 cache make the RTX 5090 a rendering and gaming powerhouse, capable of handling even the most graphically intensive applications with ease.
The 500W TDP may be on the higher side, but the theoretical performance of 101.136 TFLOPS more than justifies the power consumption. This GPU is a top choice for users who demand uncompromising performance and reliability.
Overall, the NVIDIA GeForce RTX 5090 is a stellar GPU that delivers exceptional performance across the board. From its impressive clock speeds to its massive memory capacity, this GPU is a must-have for anyone in need of uncompromising performance for their desktop setup. Whether you're a hardcore gamer, a professional content creator, or a 3D artist, the RTX 5090 has the power and capability to handle all of your needs.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2025
Model Name
GeForce RTX 5090
Generation
GeForce 50
Base Clock
2235 MHz
Boost Clock
2520 MHz
Bus Interface
PCIe 5.0 x16
Memory Specifications
Memory Size
28GB
Memory Type
GDDR7
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.
448bit
Memory Clock
2500 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.
280.0GB/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.
483.8 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.
1613 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.
103.2 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.
1.613 TFLOPS
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.
101.136
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.
160
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.
20480
L1 Cache
128 KB (per SM)
L2 Cache
88 MB
TDP
500W
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
101.136
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS