NVIDIA RTX A5000 Max-Q
The NVIDIA RTX A5000 Max-Q GPU is a powerful and versatile mobile graphics card that delivers impressive performance in a relatively energy-efficient package. With a base clock of 720MHz and a boost clock of 1350MHz, this GPU is capable of handling the demands of modern gaming, content creation, and professional applications with ease.
One of the standout features of the RTX A5000 Max-Q is its generous 16GB of GDDR6 memory, which ensures smooth and responsive performance when working with large, complex datasets or high-resolution textures. The 1500MHz memory clock further enhances the card's ability to handle memory-intensive tasks, while the 6144 shading units and 4MB L2 cache contribute to its overall processing power.
Despite its impressive performance capabilities, the RTX A5000 Max-Q is also relatively energy-efficient, with a TDP of 80W. This makes it a viable option for mobile workstations and gaming laptops where power efficiency is a priority.
With a theoretical performance of 16.922 TFLOPS, the RTX A5000 Max-Q is well-equipped to handle the demands of modern content creation, scientific computing, and gaming. Whether you're rendering complex 3D scenes, analyzing large datasets, or playing the latest AAA games, this GPU offers the performance and versatility to tackle a wide range of tasks.
Overall, the NVIDIA RTX A5000 Max-Q GPU is a compelling option for those in need of a high-performance mobile graphics solution, offering an impressive balance of power, efficiency, and memory capacity.
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Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
April 2021
Model Name
RTX A5000 Max-Q
Generation
Quadro Ampere-M
Base Clock
720MHz
Boost Clock
1350MHz
Bus Interface
PCIe 4.0 x16
Transistors
17,400 million
RT Cores
48
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.
192
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.
192
Foundry
Samsung
Process Size
8 nm
Architecture
Ampere
Memory Specifications
Memory Size
16GB
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.
256bit
Memory Clock
1500MHz
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.
384.0 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.
129.6 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.
259.2 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.
16.59 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.
259.2 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.
16.922
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
4MB
TDP
80W
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
8.6
Power Connectors
None
Shader Model
6.7
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.
96
Benchmarks
FP32 (float)
Score
16.922
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS