NVIDIA Quadro RTX 5000
About GPU
The NVIDIA Quadro RTX 5000 is a powerful professional GPU that offers impressive performance and features for professional workloads such as 3D rendering, video editing, and scientific simulations. With a base clock speed of 1620MHz and a boost clock speed of 1815MHz, it provides fast and reliable performance for demanding tasks.
One of the standout features of the Quadro RTX 5000 is its 16GB of GDDR6 memory, which allows for smooth and efficient handling of large datasets and complex models. The 1750MHz memory clock speed ensures high-speed data transfer, reducing latency and improving overall performance. With 3072 shading units and 4MB of L2 cache, the GPU can handle complex graphics and calculations with ease.
The Quadro RTX 5000 also has a TDP of 230W, making it a relatively power-hungry GPU, but its high theoretical performance of 11.15 TFLOPS more than justifies its power consumption. It is also equipped with advanced features such as real-time ray tracing and AI acceleration, which significantly enhance rendering and simulation capabilities.
Overall, the NVIDIA Quadro RTX 5000 is a high-performance GPU that delivers exceptional results for professional users. Its impressive memory size, fast clock speeds, and advanced features make it a top choice for demanding professional workloads. While it may be on the pricier side, its performance and capabilities make it a worthwhile investment for professionals in need of reliable and powerful graphics processing.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
August 2018
Model Name
Quadro RTX 5000
Generation
Quadro
Base Clock
1620MHz
Boost Clock
1815MHz
Bus Interface
PCIe 3.0 x16
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
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.
448.0 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.
116.2 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.
348.5 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.
22.30 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.
348.5 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.
11.373
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.
3072
L1 Cache
64 KB (per SM)
L2 Cache
4MB
TDP
230W
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
11.373
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS