NVIDIA RTX 500 Mobile Ada Generation
About GPU
The NVIDIA RTX 500 Mobile Ada Generation GPU is a powerhouse in terms of performance and efficiency. With its base clock of 1485MHz and boost clock of 2025MHz, it offers high-speed processing for demanding tasks such as gaming, video editing, and 3D rendering. The 4GB of GDDR6 memory combined with a memory clock of 2000MHz ensures smooth and seamless multitasking, allowing users to run multiple applications simultaneously without experiencing any lag.
The GPU's 2048 shading units and 12MB of L2 cache contribute to its impressive graphical capabilities, delivering stunning visuals and smooth frame rates in even the most graphically intensive games. Furthermore, the low TDP of 35W makes it an energy-efficient option, consuming less power while still delivering stellar performance.
One of the standout features of the NVIDIA RTX 500 Mobile Ada Generation GPU is its theoretical performance of 8.46 TFLOPS, which is a testament to its ability to handle complex computations and deliver exceptional results.
Overall, the NVIDIA RTX 500 Mobile Ada Generation GPU is a top-tier choice for anyone in need of a high-performance graphics card for their laptop. Whether you're a gamer, content creator, or professional working with graphics-intensive applications, this GPU has the power and efficiency to meet your needs. It's a reliable and capable option that delivers top-notch performance across the board.
Basic
Label Name
NVIDIA
Platform
Mobile
Model Name
RTX 500 Mobile Ada Generation
Generation
Quadro Ada-M
Base Clock
1485MHz
Boost Clock
2025MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
4GB
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.
64bit
Memory Clock
2000MHz
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.
128.0 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.
64.80 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.
129.6 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.
8.294 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.
129.6 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.
8.46
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.
16
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.
2048
L1 Cache
128 KB (per SM)
L2 Cache
12MB
TDP
35W
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
8.46
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS