NVIDIA T1000 8 GB
About GPU
The NVIDIA T1000 8GB GPU is a powerful and efficient graphics card designed for desktops. With a base clock of 1065MHz and a boost clock of 1395MHz, this GPU delivers smooth and seamless performance for a variety of tasks, from gaming to graphic design and video editing.
One of the standout features of the T1000 is its 8GB of GDDR6 memory, which provides ample space for high-resolution textures and complex shaders, ensuring that even the most demanding games and applications run smoothly. The memory clock speed of 1250MHz further enhances the GPU's performance, making it a solid choice for professionals and enthusiasts alike.
The T1000 also boasts 896 shading units and a 1024KB L2 cache, which contribute to its impressive performance capabilities. With a TDP of 50W, this GPU manages to deliver strong performance while remaining energy efficient, which is a significant advantage for those looking to build a more sustainable and eco-friendly system.
In terms of raw power, the T1000 is capable of delivering a theoretical performance of 2.5 TFLOPS, making it suitable for a wide range of demanding applications. Whether you're a gamer looking for smooth frame rates, or a content creator in need of a reliable GPU for rendering and editing, the T1000 is a solid choice that offers a great balance of performance and efficiency. Overall, the NVIDIA T1000 8GB GPU is a reliable and capable graphics card that delivers strong performance for a variety of tasks, making it a worthwhile investment for anyone in need of a desktop GPU.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
May 2021
Model Name
T1000 8 GB
Generation
Quadro
Base Clock
1065MHz
Boost Clock
1395MHz
Bus Interface
PCIe 3.0 x16
Memory Specifications
Memory Size
8GB
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
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.
160.0 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.
44.64 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.
78.12 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.
5.000 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.
78.12 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.
2.55
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
50W
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
2.55
TFLOPS
Blender
Score
480
OctaneBench
Score
72
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench