NVIDIA GeForce RTX 3070 Ti 16 GB

NVIDIA GeForce RTX 3070 Ti 16 GB

About GPU

The NVIDIA GeForce RTX 3070 Ti 16 GB GPU is a powerful and high-performance graphics card designed for desktop gaming and professional use. With a base clock of 1575MHz and a boost clock of 1770MHz, this GPU offers exceptional speed and responsiveness, making it ideal for running the latest games and demanding applications. One of the standout features of the RTX 3070 Ti is its 16GB of GDDR6X memory, which allows for smooth and seamless multitasking and reduces the potential for bottlenecking when running memory-intensive tasks. The 1188MHz memory clock further enhances the GPU's ability to handle large datasets and high-resolution textures without sacrificing performance. The RTX 3070 Ti is also equipped with 6144 shading units and 4MB of L2 cache, further boosting its rendering capabilities and overall efficiency. With a TDP of 290W, this graphics card delivers impressive power while maintaining efficient energy usage. In terms of performance, the RTX 3070 Ti is capable of delivering a theoretical performance of 21.75 TFLOPS, making it a top-tier choice for demanding gaming and content creation needs. Overall, the NVIDIA GeForce RTX 3070 Ti 16 GB GPU is a high-quality and reliable graphics card that offers exceptional performance and efficiency. Whether you're a hardcore gamer or a professional content creator, this GPU is sure to meet your needs and provide a seamless and immersive computing experience.

Basic

Label Name
NVIDIA
Platform
Desktop
Model Name
GeForce RTX 3070 Ti 16 GB
Generation
GeForce 30
Base Clock
1575MHz
Boost Clock
1770MHz
Bus Interface
PCIe 4.0 x16

Memory Specifications

Memory Size
16GB
Memory Type
GDDR6X
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.
256bit
Memory Clock
1188MHz
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.
608.3 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.
169.9 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.
339.8 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.
21.75 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.
339.8 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.
21.315 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.
48
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.
6144
L1 Cache
128 KB (per SM)
L2 Cache
4MB
TDP
290W
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
21.315 TFLOPS
Blender
Score
3626
OctaneBench
Score
405

Compared to Other GPU

FP32 (float) / TFLOPS
21.58 +1.2%
21.315 -0%
OctaneBench
403 -0.5%
371 -8.4%