NVIDIA T600

NVIDIA T600

About GPU

The NVIDIA T600 GPU is a powerful and efficient graphics processing unit designed for desktop computers. With a base clock speed of 735MHz and a boost clock speed of 1335MHz, this GPU delivers fast and smooth performance for demanding tasks such as gaming, video editing, and 3D rendering. The 4GB of GDDR6 memory and a memory clock speed of 1250MHz ensure that the T600 can handle large and complex datasets with ease. With 640 shading units and 1024KB of L2 cache, the T600 is capable of delivering high-quality graphics and visual effects. It has a low TDP of 40W, making it an energy-efficient option for users looking to minimize power consumption without sacrificing performance. The theoretical performance of 1.709 TFLOPS means that the T600 is capable of handling a wide range of graphics-intensive tasks with ease. In terms of real-world performance, the T600 excels in delivering smooth and lifelike graphics in modern games and high-resolution video content. Its combination of high clock speeds, ample memory, and efficient power usage make it a great choice for both casual and professional users. Overall, the NVIDIA T600 GPU offers an impressive combination of performance, efficiency, and versatility, making it a solid option for anyone in need of a powerful desktop graphics solution. Whether you're a gamer, content creator, or professional designer, the T600 is capable of meeting your needs and exceeding your expectations.

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
April 2021
Model Name
T600
Generation
Quadro
Base Clock
735MHz
Boost Clock
1335MHz
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
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.
42.72 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.
53.40 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.
3.418 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.
53.40 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.
1.675 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.
10
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.
640
L1 Cache
64 KB (per SM)
L2 Cache
1024KB
TDP
40W
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
1.675 TFLOPS
OctaneBench
Score
51
Vulkan
Score
25429
OpenCL
Score
27418

Compared to Other GPU

FP32 (float) / TFLOPS
1.684 +0.5%
1.68 +0.3%
1.675
1.671 -0.2%
OctaneBench
54 +5.9%
53 +3.9%
51
47 -7.8%
47 -7.8%
Vulkan
26189 +3%
26002 +2.3%
25429
24807 -2.4%
24459 -3.8%
OpenCL
29139 +6.3%
28301 +3.2%
27418
26896 -1.9%
26013 -5.1%