NVIDIA GeForce GTX TITAN X
The NVIDIA GeForce GTX TITAN X GPU is an absolute powerhouse when it comes to desktop gaming and high-performance computing. With a base clock of 1000MHz and a boost clock of 1089MHz, this GPU is capable of delivering incredibly smooth and fast performance, even when running the most demanding of games and applications.
One of the standout features of the TITAN X is its massive 12GB of GDDR5 memory, which allows it to handle large textures and high-resolution displays with ease. This, combined with a memory clock of 1753MHz, ensures that the GPU is able to deliver excellent performance in even the most visually demanding games.
With 3072 shading units and 3MB of L2 cache, the TITAN X is able to handle complex calculations and rendering tasks with ease. Its TDP of 250W may be on the higher side, but this is a necessary trade-off for the level of performance that it offers. The theoretical performance of 6.691 TFLOPS further demonstrates just how powerful this GPU is.
Overall, the NVIDIA GeForce GTX TITAN X is an incredibly capable GPU that is well-suited for gamers and professionals alike. Its combination of high memory capacity, fast clock speeds, and a large number of shading units make it a top choice for anyone looking for top-of-the-line performance. Despite being a few years old, it still holds its own against many newer GPUs on the market. If you're looking for uncompromising performance, the TITAN X is a fantastic choice.
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Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
March 2015
Model Name
GeForce GTX TITAN X
Generation
GeForce 900
Base Clock
1000MHz
Boost Clock
1089MHz
Bus Interface
PCIe 3.0 x16
Transistors
8,000 million
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.
192
Foundry
TSMC
Process Size
28 nm
Architecture
Maxwell 2.0
Memory Specifications
Memory Size
12GB
Memory Type
GDDR5
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.
384bit
Memory Clock
1753MHz
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.
336.6 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.
104.5 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.
209.1 GTexel/s
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.
209.1 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.
6.557
TFLOPS
Miscellaneous
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.
3072
L1 Cache
48 KB (per SMM)
L2 Cache
3MB
TDP
250W
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 (12_1)
CUDA
5.2
Power Connectors
1x 6-pin + 1x 8-pin
Shader Model
6.4
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
600W
Benchmarks
FP32 (float)
Score
6.557
TFLOPS
Blender
Score
363
OctaneBench
Score
125
Vulkan
Score
48864
OpenCL
Score
37596
Hashcat
Score
336199
H/s
Compared to Other GPU
FP32 (float)
/ TFLOPS
Blender
OctaneBench
Vulkan
OpenCL
Hashcat
/ H/s