NVIDIA Quadro T1000 Mobile GDDR6
About GPU
The NVIDIA Quadro T1000 Mobile GDDR6 GPU is a professional-grade graphics processing unit designed to deliver high performance for demanding creative and design workloads. With a base clock of 1395MHz and a boost clock of 1650MHz, this GPU provides excellent speed and responsiveness for rendering complex 3D models, running simulations, or editing high-resolution videos.
The 4GB of GDDR6 memory and a memory clock of 1500MHz ensures smooth and fast data transfer, allowing for seamless multitasking and handling of large datasets. With 896 shading units and a 1024KB L2 cache, the Quadro T1000 offers efficient processing power and superior graphics rendering capabilities.
One of the key advantages of the Quadro T1000 is its low thermal design power (TDP) of 50W, making it an energy-efficient option for mobile workstations and laptops. Despite its low power consumption, the GPU still manages to deliver impressive performance, with a theoretical performance of 2.957 TFLOPS.
Overall, the NVIDIA Quadro T1000 Mobile GDDR6 GPU is an excellent choice for professionals in fields such as architecture, engineering, 3D design, and content creation. Its combination of high performance, efficient power usage, and reliable graphics processing makes it a valuable asset for any professional workstation. Whether you're working on complex visualizations or handling large-scale simulations, the Quadro T1000 is more than capable of meeting your demands.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
June 2020
Model Name
Quadro T1000 Mobile GDDR6
Generation
Quadro Mobile
Base Clock
1395MHz
Boost Clock
1650MHz
Bus Interface
PCIe 3.0 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
1500MHz
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.
192.0 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.
52.80 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.
92.40 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.
5.914 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.
92.40 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.
2.898
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
2.898
TFLOPS
Blender
Score
415
OctaneBench
Score
72
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench