NVIDIA RTX A2000 Mobile
About GPU
The NVIDIA RTX A2000 Mobile GPU is a powerful professional-grade graphics card designed for high-performance computing and visual rendering tasks. With a base clock speed of 893MHz and a boost clock speed of 1358MHz, this GPU offers fast and responsive performance for demanding applications.
Equipped with 4GB of GDDR6 memory and a memory clock speed of 1375MHz, the A2000 Mobile GPU provides fast data transfer and smooth graphics processing. The 2560 shading units and 2MB of L2 cache contribute to the GPU's ability to handle complex visual computations with ease.
With a TDP of 95W, the A2000 Mobile GPU strikes a balance between energy efficiency and high performance, making it suitable for use in mobile workstations and laptops. The theoretical performance of 6.953 TFLOPS demonstrates the GPU's capability to handle demanding workloads and deliver smooth, high-quality visual output.
Overall, the NVIDIA RTX A2000 Mobile GPU is an excellent choice for professionals in fields such as 3D rendering, video editing, and scientific computing. Its combination of high clock speeds, ample memory, and efficient power usage make it a reliable and high-performing option for those in need of professional-grade graphics processing. Whether used for creative design work or data analysis, the A2000 Mobile GPU delivers the performance and reliability that professionals demand.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
April 2021
Model Name
RTX A2000 Mobile
Generation
Quadro Mobile
Base Clock
893MHz
Boost Clock
1358MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
4GB
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.
128bit
Memory Clock
1375MHz
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.
176.0 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.
65.18 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.
108.6 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.
6.953 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.
108.6 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.
6.814
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.
20
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.
2560
L1 Cache
128 KB (per SM)
L2 Cache
2MB
TDP
95W
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
6.814
TFLOPS
3DMark Time Spy
Score
4410
Blender
Score
1456
OctaneBench
Score
21
Compared to Other GPU
FP32 (float)
/ TFLOPS
3DMark Time Spy
Blender
OctaneBench