Home / GPU Comparison / NVIDIA TITAN X Pascal or NVIDIA GeForce RTX 2070 SUPER: What's better?

NVIDIA TITAN X Pascal
vs
NVIDIA GeForce RTX 2070 SUPER

NVIDIA TITAN X Pascal
vs
NVIDIA GeForce RTX 2070 SUPER

GPU Comparison Result

Below are the results of a comparison of NVIDIA TITAN X Pascal and NVIDIA GeForce RTX 2070 SUPER video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA TITAN X Pascal
NVIDIA TITAN X Pascal
NVIDIA TITAN X Pascal
  • Larger Memory Size: 12GB (12GB vs 8GB)
  • Higher Bandwidth: 480.4 GB/s (480.4 GB/s vs 448.0 GB/s)
  • More Shading Units: 3584 (3584 vs 2560)
NVIDIA GeForce RTX 2070 SUPER
NVIDIA GeForce RTX 2070 SUPER
NVIDIA GeForce RTX 2070 SUPER
  • Higher Boost Clock: 1770MHz (1531MHz vs 1770MHz)
  • Newer Launch Date: July 2019 (August 2016 vs July 2019)

Basic

NVIDIA
Label Name
NVIDIA
August 2016
Launch Date
July 2019
Desktop
Platform
Desktop
TITAN X Pascal
Model Name
GeForce RTX 2070 SUPER
GeForce 10
Generation
GeForce 20
1417MHz
Base Clock
1605MHz
1531MHz
Boost Clock
1770MHz
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
11,800 million
Transistors
13,600 million
-
RT Cores
40
-
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.
320
224
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.
160
TSMC
Foundry
TSMC
16 nm
Process Size
12 nm
Pascal
Architecture
Turing

Memory Specifications

12GB
Memory Size
8GB
GDDR5X
Memory Type
GDDR6
384bit
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
1251MHz
Memory Clock
1750MHz
480.4 GB/s
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.
448.0 GB/s

Theoretical Performance

147.0 GPixel/s
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.
113.3 GPixel/s
342.9 GTexel/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.
283.2 GTexel/s
171.5 GFLOPS
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.
18.12 TFLOPS
342.9 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.
283.2 GFLOPS
11.189 TFLOPS
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.
9.243 TFLOPS

Miscellaneous

28
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.
40
3584
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.
2560
48 KB (per SM)
L1 Cache
64 KB (per SM)
3MB
L2 Cache
4MB
250W
TDP
215W
1.3
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
3.0
OpenCL Version
3.0
4.6
OpenGL
4.6
12 (12_1)
DirectX
12 Ultimate (12_2)
6.1
CUDA
7.5
1x 6-pin + 1x 8-pin
Power Connectors
1x 6-pin + 1x 8-pin
6.4
Shader Model
6.6
96
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.
64
600W
Suggested PSU
550W

Benchmarks

Shadow of the Tomb Raider 2160p / fps
TITAN X Pascal
41
GeForce RTX 2070 SUPER
41
Shadow of the Tomb Raider 1440p / fps
TITAN X Pascal
80 +3%
GeForce RTX 2070 SUPER
78
Shadow of the Tomb Raider 1080p / fps
TITAN X Pascal
125 +8%
GeForce RTX 2070 SUPER
116
GTA 5 2160p / fps
TITAN X Pascal
96 +39%
GeForce RTX 2070 SUPER
69
GTA 5 1440p / fps
TITAN X Pascal
106 +13%
GeForce RTX 2070 SUPER
94
GTA 5 1080p / fps
TITAN X Pascal
184
GeForce RTX 2070 SUPER
184
FP32 (float) / TFLOPS
TITAN X Pascal
11.189 +21%
GeForce RTX 2070 SUPER
9.243
3DMark Time Spy
TITAN X Pascal
9397
GeForce RTX 2070 SUPER
10331 +10%
Blender
TITAN X Pascal
863.8
GeForce RTX 2070 SUPER
2220.56 +157%
Vulkan
TITAN X Pascal
77928
GeForce RTX 2070 SUPER
94845 +22%
OpenCL
TITAN X Pascal
62379
GeForce RTX 2070 SUPER
103572 +66%