NVIDIA GeForce RTX 3070 Ti GA102
About GPU
The NVIDIA GeForce RTX 3070 Ti GA102 GPU is a powerful and high-performance graphics card designed for desktop platforms. With a base clock of 1575MHz, a boost clock of 1770MHz, and 8GB of GDDR6X memory, this GPU is capable of delivering incredible gaming and graphics performance.
The GPU features 6144 shading units, 4MB of L2 cache, and a TDP of 290W, making it an ideal choice for demanding gaming and content creation tasks. The 8GB of GDDR6X memory with a clock speed of 1188MHz ensures smooth and lag-free performance, even when running the most graphically intensive games and applications.
With a theoretical performance of 21.75 TFLOPS, the NVIDIA GeForce RTX 3070 Ti GA102 GPU offers impressive power for gaming, rendering, and AI-related tasks. Its advanced ray tracing and AI capabilities further enhance the visual quality and realism of games and applications, providing an immersive and lifelike experience for users.
Overall, the NVIDIA GeForce RTX 3070 Ti GA102 GPU is a top-of-the-line graphics card that offers exceptional performance and power for desktop users. Whether you are a hardcore gamer, a content creator, or a professional in need of powerful graphics processing, this GPU is sure to meet and exceed your expectations.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
October 2022
Model Name
GeForce RTX 3070 Ti GA102
Generation
GeForce 30
Base Clock
1575MHz
Boost Clock
1770MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
8GB
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.
22.185
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
22.185
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS