NVIDIA RTX A5000 Mobile
About GPU
The NVIDIA RTX A5000 Mobile GPU is a powerful and efficient graphics processing unit designed for professional use. With a base clock of 900MHz and a boost clock of 1575MHz, this GPU delivers exceptional performance for demanding tasks such as 3D rendering, video editing, and engineering simulations. The generous 16GB of GDDR6 memory with a memory clock of 1750MHz ensures smooth and seamless multitasking and handling of large datasets.
With 6144 shading units and 4MB of L2 cache, the RTX A5000 enables fast and accurate rendering of complex graphics and visualizations. The 140W TDP strikes a good balance between power consumption and performance, making it suitable for use in high-end mobile workstations.
The theoretical performance of 19.35 TFLOPS showcases the GPU's capability to handle compute-intensive workloads with ease. Whether it's real-time ray tracing or AI-powered applications, the RTX A5000 delivers impressive results, pushing the boundaries of what is possible on a mobile platform.
Overall, the NVIDIA RTX A5000 Mobile GPU is a beast of a graphics card, offering exceptional performance, ample memory, and efficient power consumption for professionals who require top-tier graphics capabilities on the go. If you're in the market for a mobile workstation with uncompromising graphics performance, the RTX A5000 is definitely worth considering.
Basic
Label Name
NVIDIA
Platform
Professional
Model Name
RTX A5000 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.
302.4 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.
19.35 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.
604.8 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.
18.963
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.
48
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.
6144
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
18.963
TFLOPS
Blender
Score
2971
OctaneBench
Score
299
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench