NVIDIA GeForce RTX 5070 Ti
 
                                    
                                    The NVIDIA GeForce RTX 5070 Ti is a powerhouse GPU designed for high-performance gaming and graphics-intensive applications. With a base clock of 2235 MHz and a boost clock of 2520 MHz, this GPU offers exceptional speed and responsiveness, delivering smooth and seamless gaming experiences. The 16GB of GDDR7 memory and a memory clock of 1750 MHz ensure that the GPU can handle large textures and data-intensive tasks with ease.
One of the most impressive features of the RTX 5070 Ti is its 8960 shading units, which contribute to its outstanding graphical performance. Additionally, the 64MB of L2 cache helps accelerate memory access, further enhancing the GPU's overall efficiency and speed.
The 300W TDP may require a robust cooling solution, but it's a small price to pay for the sheer computational power the RTX 5070 Ti offers. With a theoretical performance of 44.257 TFLOPS, this GPU is more than capable of handling even the most demanding games and applications at high resolutions and frame rates.
Overall, the NVIDIA GeForce RTX 5070 Ti is a top-of-the-line GPU that delivers exceptional performance, making it an excellent choice for gamers, content creators, and professionals who rely on high-performance graphics. If you're looking for a GPU that can handle anything you throw at it, the RTX 5070 Ti is definitely worth considering.
                                
                                
                                                    Basic
                            Label Name
                        
                        
                            NVIDIA
                        
                    
                                Platform
                            
                            
                                Desktop
                            
                        
                                Launch Date
                            
                            
                                January 2025
                            
                        Model Name
                                                    
                            
                                GeForce RTX 5070 Ti
                                                            
                        
                    Generation
                                                    
                            
                                GeForce 50
                                                            
                        
                    Base Clock
                                                    
                            
                                2235 MHz
                                                            
                        
                    Boost Clock
                                                    
                            
                                2520 MHz
                                                            
                        
                    Bus Interface
                                                    
                            
                                PCIe 5.0 x16
                                                            
                        
                    Transistors
                                                    
                            
                                Unknown
                                                            
                        
                    RT Cores
                                                    
                            
                                70
                                                            
                        
                    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.
                                
                            
                                280
                                                            
                        
                    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.
                                
                            
                                280
                                                            
                        
                    Foundry
                                                    
                            
                                TSMC
                                                            
                        
                    Architecture
                                                    
                            
                                Blackwell 2.0
                                                            
                        
                    Memory Specifications
Memory Size
                                                    
                            
                                16GB
                                                            
                        
                    Memory Type
                                                    
                            
                                GDDR7
                                                            
                        
                    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
                                                    
                            
                                1750 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.
                                
                            
                                710.1GB/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.
                                
                            
                                322.6 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.
                                
                            
                                705.6 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.
                                
                            
                                45.16 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.
                                
                            
                                705.6 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.
                                
                            
                                44.257
                                                                    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.
                                
                            
                                70
                                                            
                        
                    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.
                                
                            
                                8960
                                                            
                        
                    L1 Cache
                                                    
                            
                                128 KB (per SM)
                                                            
                        
                    L2 Cache
                                                    
                            
                                64 MB
                                                            
                        
                    TDP
                                                    
                            
                                300W
                                                            
                        
                    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
                                                    
                            
                                10.1
                                                            
                        
                    Power Connectors
                                                    
                            
                                1x 16-pin
                                                            
                        
                    Shader Model
                                                    
                            
                                6.8
                                                            
                        
                    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.
                                
                            
                                128
                                                            
                        
                    Suggested PSU
                                                    
                            
                                700 W
                                                            
                        
                    Benchmarks
                                                FP32 (float)
                                            
                                            
                                                                                                Score
                                            
                                            
                                                44.257
                                                TFLOPS
                                            
                                            
                                                Blender
                                            
                                            
                                                                                                Score
                                            
                                            
                                                7692.37
                                                
                                            
                                            
                                                Vulkan
                                            
                                            
                                                                                                Score
                                            
                                            
                                                231014
                                                
                                            
                                            
                                                OpenCL
                                            
                                            
                                                                                                Score
                                            
                                            
                                                226937
                                                
                                            
                                            Compared to Other GPU
                                    FP32 (float)
                                                                             / TFLOPS
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                            
                                    Blender
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                            
                                    Vulkan
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                            
                                    OpenCL
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
                                                                    
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