NVIDIA RTX A4 Mobile
About GPU
The NVIDIA RTX A4 Mobile GPU is a powerful and efficient graphics processing unit designed for professional use. With a base clock speed of 1297MHz and a boost clock speed of 1770MHz, this GPU offers fast and reliable performance for demanding professional applications.
The 4GB of GDDR6 memory ensures smooth and seamless operation, even when working with large and complex datasets. Additionally, the 1750MHz memory clock speed and 2048 shading units contribute to the GPU's impressive performance capabilities.
One of the most notable features of the NVIDIA RTX A4 Mobile GPU is its theoretical performance of 7.25 TFLOPS. This level of performance allows professionals to tackle resource-intensive tasks such as 3D rendering, video editing, and scientific simulations with ease.
The L2 cache of 2MB helps to reduce latency and improve overall performance, while the TDP (thermal design power) ensures that the GPU operates efficiently without overheating.
Overall, the NVIDIA RTX A4 Mobile GPU is a highly capable and reliable option for professionals in need of a powerful graphics solution for their work. Whether you're a content creator, engineer, or data scientist, this GPU offers the performance and features necessary to handle the most demanding professional workloads. With its combination of high clock speeds, ample memory, and efficient design, the NVIDIA RTX A4 Mobile GPU is a top choice for those in need of professional-grade graphics processing power.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
April 2021
Model Name
RTX A4 Mobile
Generation
Quadro Ampere-M
Base Clock
1297MHz
Boost Clock
1770MHz
Bus Interface
PCIe 4.0 x8
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
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.
224.0 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.
56.64 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.
113.3 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.
7.250 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.
113.3 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.
7.395
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.
16
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.
2048
L1 Cache
128 KB (per SM)
L2 Cache
2MB
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
7.395
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS