NVIDIA GeForce RTX 4070 Ti SUPER AD102
 
                                    
                                    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
                                                            
                        
                    Transistors
                                                    
                            
                                76.3 billion
                                                            
                        
                    RT Cores
                                                    
                            
                                66
                                                            
                        
                    Tensor Cores
                                                            
                                    ?
                                    
                                                    Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
                                
                            
                                264
                                                            
                        
                    TMUs
                                                            
                                    ?
                                    
                                                    Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
                                
                            
                                264
                                                            
                        
                    Foundry
                                                    
                            
                                TSMC
                                                            
                        
                    Process Size
                                                    
                            
                                5 nm
                                                            
                        
                    Architecture
                                                    
                            
                                Ada Lovelace
                                                            
                        
                    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
                                                            
                        
                    OpenGL
                                                    
                            
                                4.6
                                                            
                        
                    DirectX
                                                    
                            
                                12 Ultimate (12_2)
                                                            
                        
                    CUDA
                                                    
                            
                                8.9
                                                            
                        
                    Power Connectors
                                                    
                            
                                1x 16-pin
                                                            
                        
                    Shader Model
                                                    
                            
                                6.7
                                                            
                        
                    ROPs
                                                            
                                    ?
                                    
                                                    The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
                                
                            
                                96
                                                            
                        
                    Suggested PSU
                                                    
                            
                                600 W
                                                            
                        
                    Benchmarks
                                                FP32 (float)
                                            
                                            
                                                                                                Score
                                            
                                            
                                                44.982
                                                TFLOPS
                                            
                                            
                                                3DMark Time Spy
                                            
                                            
                                                                                                Score
                                            
                                            
                                                24279
                                                
                                            
                                            Compared to Other GPU
                                    FP32 (float)
                                                                             / TFLOPS
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                            
                                    3DMark Time Spy
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
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