NVIDIA RTX A1000 Mobile 6 GB
About GPU
The NVIDIA RTX A1000 Mobile 6GB GPU is a professional-grade graphics processing unit designed for demanding workloads and high-performance tasks. With a base clock of 652MHz and a boost clock of 1140MHz, this GPU offers impressive speeds and responsiveness, making it well-suited for a wide range of professional applications.
Equipped with 6GB of GDDR6 memory and a memory clock of 1375MHz, the RTX A1000 Mobile provides ample storage and efficient data processing capabilities. The 2560 shading units and 2MB L2 cache further enhance its ability to handle complex graphics and computational workloads.
With a TDP of 60W, the RTX A1000 Mobile delivers a balance of power efficiency and performance, making it suitable for mobile workstations and portable devices. The theoretical performance of 5.837 TFLOPS ensures that this GPU can handle demanding tasks with ease, delivering smooth and reliable performance for professional users.
Overall, the NVIDIA RTX A1000 Mobile 6GB GPU is a high-quality, professional-grade graphics solution that offers impressive performance, efficient power consumption, and a robust feature set. Whether for content creation, CAD/CAM applications, or other professional workloads, this GPU is well-equipped to meet the demands of modern professional use cases.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2022
Model Name
RTX A1000 Mobile 6 GB
Generation
Quadro Ampere-M
Base Clock
652MHz
Boost Clock
1140MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
6GB
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.
192bit
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.
264.0 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.
36.48 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.
91.20 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.
5.837 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.
91.20 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.
5.954
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.
20
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.
2560
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
5.954
TFLOPS
Blender
Score
1257
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender