NVIDIA RTX A1000 Mobile
About GPU
The NVIDIA RTX A1000 Mobile GPU is a powerful professional-grade GPU designed for a wide range of professional applications. With a base clock of 630MHz and a boost clock of 1140MHz, this GPU offers impressive performance for demanding workloads such as 3D rendering, scientific simulations, and deep learning.
The GPU comes with 4GB of GDDR6 memory with a memory clock of 1375MHz, providing ample memory bandwidth for handling large datasets and complex models. With 2048 shading units and 2MB of L2 cache, the A1000 delivers exceptional performance for graphics and compute-intensive tasks.
One of the key highlights of the RTX A1000 Mobile GPU is its power efficiency, with a TDP of just 60W. This makes it well-suited for mobile workstations and other power-constrained environments, allowing professionals to take their work on the go without sacrificing performance.
In terms of raw performance, the RTX A1000 Mobile GPU offers a theoretical performance of 4.669 TFLOPS, making it a capable solution for a wide range of professional applications.
Overall, the NVIDIA RTX A1000 Mobile GPU is a compelling option for professionals in need of a powerful yet power-efficient GPU for their mobile workstations. Its impressive performance, ample memory bandwidth, and power efficiency make it a versatile choice for a wide range of professional applications.
Basic
Label Name
NVIDIA
Platform
Professional
Model Name
RTX A1000 Mobile
Generation
Quadro Mobile
Base Clock
630MHz
Boost Clock
1140MHz
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.
128bit
Memory Clock
1375MHz
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.
176.0 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.
54.72 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.
72.96 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.
4.669 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.
72.96 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.
4.762
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
60W
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
4.762
TFLOPS
Blender
Score
1452
OctaneBench
Score
150
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench