NVIDIA Quadro RTX 6000 Mobile
About GPU
The NVIDIA Quadro RTX 6000 Mobile GPU is a powerhouse when it comes to professional graphics performance. With a base clock of 1275MHz and a boost clock of 1455MHz, this GPU offers exceptional speed and efficiency for intensive tasks such as 3D rendering, video editing, and virtual reality applications. The 24GB of GDDR6 memory and a memory clock of 1750MHz ensure smooth and seamless performance even with large datasets and complex visualizations.
One of the most impressive features of the Quadro RTX 6000 is its 4608 shading units, which allow for incredibly detailed and realistic graphics. The 6MB L2 cache further enhances the GPU's ability to handle large amounts of data with ease. With a theoretical performance of 13.41 TFLOPS, this GPU is more than capable of handling the demands of modern professional workflows.
While the exact TDP of the Quadro RTX 6000 Mobile GPU is unknown, it is safe to assume that it is designed to be power-efficient, making it suitable for use in mobile workstations and laptops without sacrificing performance.
Overall, the NVIDIA Quadro RTX 6000 Mobile GPU is an excellent choice for professionals in industries such as design, architecture, engineering, and media production who require top-of-the-line graphics performance on the go. Its impressive specifications and performance make it a valuable asset for anyone working with demanding visual applications.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
September 2019
Model Name
Quadro RTX 6000 Mobile
Generation
Quadro Turing-M
Base Clock
1275MHz
Boost Clock
1455MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
24GB
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.
384bit
Memory Clock
1750MHz
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.
672.0 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.
139.7 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.
419.0 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.
26.82 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.
419.0 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.
13.678
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.
72
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.
4608
L1 Cache
64 KB (per SM)
L2 Cache
6MB
TDP
Unknown
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
13.678
TFLOPS
Blender
Score
3304
OctaneBench
Score
360
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench