NVIDIA RTX A4500 Mobile
About GPU
The NVIDIA RTX A4500 Mobile GPU is an impressive addition to the professional platform, offering high-performance graphics capabilities for a variety of demanding tasks. With a base clock of 510MHz and a boost clock of 1215MHz, this GPU delivers exceptional speed and efficiency for a wide range of professional applications.
One of the standout features of the RTX A4500 is its 16GB of GDDR6 memory, providing ample capacity for handling large datasets and complex graphics workloads. The memory clock speed of 1750MHz further enhances the GPU's ability to rapidly process and manipulate data, resulting in smooth and responsive performance.
With 5888 shading units and 4MB of L2 cache, the RTX A4500 is equipped to handle the most demanding rendering and visualization tasks with ease. Its 115W TDP ensures that the GPU strikes a good balance between power efficiency and high performance, making it well-suited for professional use in mobile workstations and high-performance computing environments.
Overall, the RTX A4500 Mobile GPU offers a theoretical performance of 14.31 TFLOPS, making it a powerhouse solution for professionals in fields such as content creation, design, engineering, and scientific research. Whether you're working on complex 3D models, AI development, or high-resolution video editing, the RTX A4500 delivers the performance and capabilities needed to tackle the most challenging workloads with confidence.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2022
Model Name
RTX A4500 Mobile
Generation
Quadro Mobile
Base Clock
510MHz
Boost Clock
1215MHz
Bus Interface
PCIe 4.0 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.
116.6 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.
223.6 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.
14.31 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.
447.1 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.
14.596
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.
46
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.
5888
L1 Cache
128 KB (per SM)
L2 Cache
4MB
TDP
115W
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
14.596
TFLOPS
Blender
Score
3052
OctaneBench
Score
318
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench