NVIDIA RTX A4500 Embedded
About GPU
The NVIDIA RTX A4500 Embedded GPU is an impressive addition to the professional platform, offering high performance and advanced features for a wide range of applications. With a base clock of 930MHz and a boost clock of 1500MHz, this GPU delivers exceptional speed and responsiveness, making it ideal for demanding tasks such as 3D rendering, virtual reality, and high-performance computing.
One of the standout features of the RTX A4500 is its generous 16GB of GDDR6 memory, providing ample capacity for handling large datasets and complex simulations. The memory clock of 2000MHz ensures swift data access and transfer, while the 5888 shading units and 4MB of L2 cache contribute to smooth and fluid rendering of graphics and visual effects.
Despite its impressive performance capabilities, the RTX A4500 is also designed with energy efficiency in mind, boasting a TDP of 115W. This makes it a compelling choice for applications where power consumption is a concern, such as embedded systems and edge computing.
With a theoretical performance of 17.66 TFLOPS, the RTX A4500 is well-equipped to tackle the most demanding computational workloads with ease. Whether you're a professional designer, engineer, or scientist, this GPU offers the performance and reliability needed to bring your ideas to life.
Overall, the NVIDIA RTX A4500 Embedded GPU is a powerhouse solution for professionals seeking top-tier performance, efficiency, and versatility in a single package.
Basic
Label Name
NVIDIA
Platform
Professional
Model Name
RTX A4500 Embedded
Generation
Quadro Mobile
Base Clock
930MHz
Boost Clock
1500MHz
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
2000MHz
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.
512.0 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.
120.0 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.
276.0 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.
17.66 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.
552.0 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.
17.307
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
17.307
TFLOPS
Blender
Score
4330
OctaneBench
Score
475
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench