NVIDIA RTX A500 Mobile
About GPU
The NVIDIA RTX A500 Mobile GPU is a powerful and efficient professional-grade graphics card that is suitable for a wide range of demanding tasks, from 3D rendering to video editing. With a base clock of 832MHz and a boost clock of 1537MHz, this GPU offers exceptional performance and is capable of handling complex workloads with ease.
The A500 comes equipped with 4GB of GDDR6 memory, boasting a memory clock speed of 1500MHz and a substantial 2MB of L2 cache. With 2048 shading units, this GPU delivers impressive rendering capabilities, making it an ideal choice for professionals who require high-quality visual output.
One of the most notable features of the A500 is its theoretical performance, which is rated at 6.296 TFLOPS. This level of performance ensures smooth and efficient operation, even when dealing with large and complex datasets.
The NVIDIA RTX A500 Mobile GPU is designed to be power-efficient, making it well-suited for mobile workstations and laptops. While the exact TDP is unknown, the A500 is expected to offer a good balance of performance and power consumption, making it a practical choice for professionals on the go.
Overall, the NVIDIA RTX A500 Mobile GPU is a high-performance graphics card that is well-suited for professionals who require reliable and efficient rendering capabilities. Its impressive specifications make it a powerful choice for a wide range of professional applications, and its power efficiency makes it a practical option for mobile workstations.
Basic
Label Name
NVIDIA
Platform
Professional
Model Name
RTX A500 Mobile
Generation
Quadro Mobile
Base Clock
832MHz
Boost Clock
1537MHz
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.
64bit
Memory Clock
1500MHz
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.
96.00 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.
73.78 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.
98.37 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.
6.296 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.
98.37 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.
6.422
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
6.422
TFLOPS
Blender
Score
661
OctaneBench
Score
68
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench