NVIDIA GeForce RTX 5090 Mobile
About GPU
The NVIDIA GeForce RTX 5090 Mobile GPU is a powerhouse in the world of mobile graphics processing. With a base clock of 1500 MHz and a boost clock of 2000 MHz, this GPU delivers lightning-fast performance for even the most demanding gaming and content creation tasks. The 16GB of GDDR7 memory and a memory clock speed of 2500 MHz ensure that you have ample resources to handle high-resolution textures and complex visual effects.
One of the standout features of the RTX 5090 Mobile is its impressive 10752 shading units, which contribute to its exceptional rendering capabilities. The 64 MB of L2 cache further enhances its ability to handle large and complex datasets, making it an ideal choice for 3D rendering and video editing.
Despite its high performance, the RTX 5090 Mobile manages to maintain a reasonable TDP of 200W, making it suitable for use in a variety of slim and lightweight gaming laptops. This balance of power efficiency and performance is a testament to NVIDIA's engineering prowess.
With a theoretical performance of 43.87 TFLOPS, the RTX 5090 Mobile is capable of delivering smooth and immersive gaming experiences at the highest graphical settings. Additionally, it excels in professional applications such as 3D modeling and video editing, where its raw computational power can significantly reduce rendering times.
Overall, the NVIDIA GeForce RTX 5090 Mobile GPU sets a new standard for mobile graphics performance, offering an impressive combination of speed, efficiency, and capabilities for demanding users. Whether you're a serious gamer or a professional content creator, this GPU is poised to elevate your experience to new heights.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
January 2025
Model Name
GeForce RTX 5090 Mobile
Generation
GeForce 50 Mobile
Base Clock
1500 MHz
Boost Clock
2000 MHz
Bus Interface
PCIe 5.0 x16
Transistors
Unknown
RT Cores
84
Tensor Cores
?
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
336
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.
336
Foundry
TSMC
Process Size
0 nm
Architecture
Blackwell 2.0
Memory Specifications
Memory Size
16GB
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.
256bit
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.
160.0GB/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.
256.0 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.
672.0 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.
43.01 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.
672.0 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.
43.87
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.
84
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.
10752
L1 Cache
128 KB (per SM)
L2 Cache
64 MB
TDP
200W
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
OpenGL
4.6
DirectX
12 Ultimate (12_2)
CUDA
9.1
Power Connectors
None
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
550 W
Benchmarks
FP32 (float)
Score
43.87
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS