NVIDIA GeForce RTX 4070 Ti SUPER AD102

NVIDIA GeForce RTX 4070 Ti SUPER AD102

About GPU

The NVIDIA GeForce RTX 4070 Ti SUPER AD102 GPU is a powerhouse of a graphics card, designed for high-performance gaming and professional graphic design work. With a base clock of 2340 MHz and a boost clock of 2610 MHz, this GPU offers lightning-fast speeds and seamless rendering capabilities. One of the most impressive features of this GPU is its massive 16GB of GDDR6X memory, allowing for smooth and efficient multitasking and rendering of complex 3D models and high-resolution textures. The memory clock of 1313 MHz further enhances its performance, ensuring that even the most demanding tasks can be completed without any lag or slowdown. With 8448 shading units and 48 MB of L2 cache, the RTX 4070 Ti SUPER AD102 delivers stunning visuals and realistic graphics, making it ideal for immersive gaming experiences and professional content creation. Additionally, the TDP of 285W ensures that the GPU remains cool and efficient even under heavy workloads. The theoretical performance of 44.982 TFLOPS further solidifies the RTX 4070 Ti SUPER AD102's position as a top-of-the-line graphics card, capable of handling the most demanding gaming and graphic design tasks with ease. Overall, the NVIDIA GeForce RTX 4070 Ti SUPER AD102 GPU is a top-tier option for anyone in need of uncompromising performance and cutting-edge technology in their desktop setup. Whether you're a hardcore gamer or a professional graphic designer, this GPU is sure to exceed your expectations and deliver unparalleled performance.

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
June 2024
Model Name
GeForce RTX 4070 Ti SUPER AD102
Generation
GeForce 40
Base Clock
2340 MHz
Boost Clock
2610 MHz
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
1313 MHz
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.
672.3GB/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.
250.6 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.
689.0 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.
44.10 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.
689.0 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.
44.982 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.
66
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.
8448
L1 Cache
128 KB (per SM)
L2 Cache
48 MB
TDP
285W
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
44.982 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS
45.676 +1.5%
44.355 -1.4%