NVIDIA TITAN Xp

NVIDIA TITAN Xp

About GPU

The NVIDIA TITAN Xp GPU is an absolute powerhouse when it comes to graphical performance. With a base clock of 1405MHz and a boost clock of 1582MHz, this GPU is capable of delivering stunning visuals and smooth gameplay even in the most demanding of scenarios. The 12GB of GDDR5X memory and a memory clock of 1426MHz mean that you won't have to worry about running out of memory or experiencing slowdowns due to insufficient resources. With 3840 shading units and 3MB of L2 cache, the TITAN Xp is well-equipped to handle even the most graphically intensive tasks. Its TDP of 250W and theoretical performance of 12.15 TFLOPS make it a formidable force in the world of GPUs, and its 3DMark Time Spy score of 10153 is a testament to its raw power. Whether you're a gamer looking for the ultimate gaming experience, a content creator in need of a GPU that can handle 3D rendering and video editing with ease, or a professional in the field of AI and deep learning, the TITAN Xp has got you covered. It's a top-of-the-line GPU that delivers exceptional performance across the board, making it a worthy investment for anyone in need of cutting-edge graphical capabilities. If you're looking for a GPU that can handle anything you throw at it, the TITAN Xp is the way to go.

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
April 2017
Model Name
TITAN Xp
Generation
GeForce 10
Base Clock
1405MHz
Boost Clock
1582MHz
Bus Interface
PCIe 3.0 x16

Memory Specifications

Memory Size
12GB
Memory Type
GDDR5X
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
1426MHz
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.
547.6 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.
151.9 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.
379.7 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.
189.8 GFLOPS
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.
379.7 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.
12.393 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.
30
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.
3840
L1 Cache
48 KB (per SM)
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

Benchmarks

FP32 (float)
Score
12.393 TFLOPS
3DMark Time Spy
Score
10356
Blender
Score
973
OctaneBench
Score
176
Vulkan
Score
85824
OpenCL
Score
63099

Compared to Other GPU

FP32 (float) / TFLOPS
12.485 +0.7%
12.407 +0.1%
12.393
12.377 -0.1%
12.377 -0.1%
3DMark Time Spy
10469 +1.1%
10356
Blender
1010 +3.8%
974 +0.1%
973
927 -4.7%
OctaneBench
180 +2.3%
176
163 -7.4%
Vulkan
91134 +6.2%
87752 +2.2%
85824
84816 -1.2%
OpenCL
64325 +1.9%
63099
62821 -0.4%
62379 -1.1%