NVIDIA RTX A5500 Mobile
About GPU
The NVIDIA RTX A5500 Mobile GPU is a powerhouse when it comes to professional graphics performance. With a base clock of 900MHz and a boost clock of 1575MHz, this GPU offers exceptional speed and efficiency for demanding workloads. Its 16GB of GDDR6 memory and 1750MHz memory clock ensure that users can handle complex and memory-intensive tasks with ease.
The A5500 comes equipped with 7424 shading units and 4MB of L2 cache, allowing for smooth and responsive rendering of high-resolution images and videos. With a TDP of 140W and a theoretical performance of 23.39 TFLOPS, this GPU delivers outstanding performance while remaining energy-efficient.
One of the standout features of the A5500 is its support for real-time ray tracing and AI-accelerated workflows, making it ideal for professionals working in industries such as architecture, engineering, and design. The GPU's advanced capabilities enable users to create stunning visual effects and simulations, ultimately enhancing their productivity and creativity.
Overall, the NVIDIA RTX A5500 Mobile GPU is a top-of-the-line choice for professionals seeking uncompromising graphics performance. Its combination of high clock speeds, generous memory capacity, and support for advanced technologies make it a worthy investment for those in need of a reliable and powerful GPU for their professional work.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2022
Model Name
RTX A5500 Mobile
Generation
Quadro Mobile
Base Clock
900MHz
Boost Clock
1575MHz
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.
151.2 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.
365.4 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.
23.39 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.
730.8 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.
23.858
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.
58
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.
7424
L1 Cache
128 KB (per SM)
L2 Cache
4MB
TDP
140W
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
23.858
TFLOPS
Blender
Score
3385
OctaneBench
Score
359
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench