NVIDIA T500 Mobile
About GPU
The NVIDIA T500 Mobile GPU is a powerful and efficient graphics processing unit designed for mobile devices. With a base clock speed of 1365MHz and a boost clock speed of 1695MHz, this GPU offers impressive performance for gaming, content creation, and other graphic-intensive tasks.
One of the standout features of the T500 is its 2GB of GDDR6 memory. This high-speed memory, with a clock speed of 1250MHz, ensures smooth and lag-free performance, even when running demanding applications or games. The GPU also boasts 896 shading units and 1024KB of L2 cache, further enhancing its capabilities and ensuring fast and efficient processing.
Despite its impressive performance, the T500 is also remarkably energy efficient, with a thermal design power (TDP) of just 18W. This means that it can deliver high-end graphics performance without draining the battery life of mobile devices.
In terms of overall performance, the T500 is capable of delivering a theoretical performance of 3.037 TFLOPS. This makes it well-suited for handling modern gaming titles and demanding creative software, providing users with a smooth and immersive experience.
Overall, the NVIDIA T500 Mobile GPU is a standout option for anyone in need of a high-performance graphics solution for their mobile device. Its combination of powerful performance, efficient design, and high-speed memory make it a top choice for gamers, content creators, and professionals alike.
Basic
Label Name
NVIDIA
Platform
Mobile
Launch Date
December 2020
Model Name
T500 Mobile
Generation
Quadro Mobile
Base Clock
1365MHz
Boost Clock
1695MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
2GB
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
1250MHz
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.
80.00 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.
54.24 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.
94.92 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.
6.075 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.
94.92 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.
3.098
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.
14
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.
896
L1 Cache
64 KB (per SM)
L2 Cache
1024KB
TDP
18W
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
3.098
TFLOPS
Blender
Score
247
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender