NVIDIA Quadro RTX 3000 Mobile Refresh
About GPU
The NVIDIA Quadro RTX 3000 Mobile Refresh GPU brings powerful professional-grade performance to the table. With a base clock of 945MHz and a boost clock of 1380MHz, it offers speedy and efficient processing for demanding professional applications. The 6GB of GDDR6 memory, with a memory clock of 1750MHz, ensures smooth and seamless multitasking and handling of large datasets.
With 1920 shading units and 4MB of L2 cache, the Quadro RTX 3000 Mobile Refresh GPU is capable of handling complex and intensive graphical workloads with ease. The 80W TDP ensures that the GPU remains power efficient while delivering top-notch performance.
The Theoretical Performance of 5.299 TFLOPS makes it ideal for professional applications such as 3D rendering, video editing, and CAD/CAM software. The GPU's reliability and stability make it a preferred choice for professionals in industries such as architecture, engineering, and content creation.
Overall, the NVIDIA Quadro RTX 3000 Mobile Refresh GPU is a robust and efficient choice for professionals in need of a reliable and powerful graphics solution. Its impressive specs and performance make it a worthy investment for those in need of a high-quality GPU for professional applications.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
May 2019
Model Name
Quadro RTX 3000 Mobile Refresh
Generation
Quadro Mobile
Base Clock
945MHz
Boost Clock
1380MHz
Bus Interface
PCIe 3.0 x16
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
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.
336.0 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.
88.32 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.
165.6 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.
10.60 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.
165.6 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.
5.193
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
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
Benchmarks
FP32 (float)
Score
5.193
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS