NVIDIA Quadro RTX 3000 Max Q
About GPU
The NVIDIA Quadro RTX 3000 Max Q GPU is a powerful and efficient graphics processing unit designed for professional use. With a base clock of 600MHz, a boost clock of 1215MHz, and 6GB of GDDR6 memory, this GPU offers impressive performance for demanding professional applications.
One of the standout features of the Quadro RTX 3000 Max Q is its 1920 shading units, which allow for complex rendering and simulations. The 3MB L2 cache further enhances the GPU's ability to handle large datasets and complex calculations, making it well-suited for tasks such as 3D rendering, CAD work, and scientific simulations.
Despite its impressive performance, the Quadro RTX 3000 Max Q remains energy efficient, with a TDP of just 60W. This makes it a great choice for professionals who need powerful graphics capabilities without sacrificing on battery life or energy consumption.
In terms of raw performance, the Quadro RTX 3000 Max Q boasts a theoretical performance of 4.666 TFLOPS, allowing it to tackle even the most demanding professional workloads. Whether you're working on complex visualizations, deep learning, or virtual reality applications, this GPU has the power to handle it all.
Overall, the NVIDIA Quadro RTX 3000 Max Q GPU is a solid choice for professionals in need of high-performance graphics capabilities. Its combination of powerful hardware, energy efficiency, and ample memory make it a great option for a wide range of professional applications.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
May 2019
Model Name
Quadro RTX 3000 Max Q
Generation
Quadro Mobile
Base Clock
600MHz
Boost Clock
1215MHz
Bus Interface
PCIe 3.0 x16
Transistors
10,800 million
RT Cores
30
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.
240
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.
120
Foundry
TSMC
Process Size
12 nm
Architecture
Turing
Memory Specifications
Memory Size
6GB
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.
192bit
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.
288.0 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.
77.76 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.
145.8 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.
9.331 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.
145.8 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.
4.759
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.
30
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.
1920
L1 Cache
64 KB (per SM)
L2 Cache
3MB
TDP
60W
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
7.5
Power Connectors
None
Shader Model
6.6
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.
64
Benchmarks
FP32 (float)
Score
4.759
TFLOPS
Blender
Score
341
OctaneBench
Score
40
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench