NVIDIA GeForce GTX 650 Ti vs NVIDIA GeForce RTX 2080 Ti
GPU Comparison Result
Below are the results of a comparison of
NVIDIA GeForce GTX 650 Ti
and
NVIDIA GeForce RTX 2080 Ti
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Larger Memory Size: 11GB (1024MB vs 11GB)
- Higher Bandwidth: 616.0 GB/s (86.40 GB/s vs 616.0 GB/s)
- More Shading Units: 4352 (768 vs 4352)
- Newer Launch Date: September 2018 (October 2012 vs September 2018)
Basic
NVIDIA
Label Name
NVIDIA
October 2012
Launch Date
September 2018
Desktop
Platform
Desktop
GeForce GTX 650 Ti
Model Name
GeForce RTX 2080 Ti
GeForce 600
Generation
GeForce 20
-
Base Clock
1350MHz
-
Boost Clock
1545MHz
PCIe 3.0 x16
Bus Interface
PCIe 3.0 x16
2,540 million
Transistors
18,600 million
-
RT Cores
68
-
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.
544
64
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.
272
TSMC
Foundry
TSMC
28 nm
Process Size
12 nm
Kepler
Architecture
Turing
Memory Specifications
1024MB
Memory Size
11GB
GDDR5
Memory Type
GDDR6
128bit
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.
352bit
1350MHz
Memory Clock
1750MHz
86.40 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.
616.0 GB/s
Theoretical Performance
14.85 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.
136.0 GPixel/s
59.39 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.
420.2 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.
26.90 TFLOPS
59.39 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.
420.2 GFLOPS
1.396
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.
13.181
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.
68
768
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.
4352
16 KB (per SMX)
L1 Cache
64 KB (per SM)
256KB
L2 Cache
0MB
110W
TDP
250W
1.1
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
3.0
CUDA
7.5
12 (11_0)
DirectX
12 Ultimate (12_2)
1x 6-pin
Power Connectors
2x 8-pin
5.1
Shader Model
6.6
16
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.
88
300W
Suggested PSU
600W
Benchmarks
FP32 (float)
/ TFLOPS
GeForce GTX 650 Ti
1.396
GeForce RTX 2080 Ti
13.181
+844%
Vulkan
GeForce GTX 650 Ti
8278
GeForce RTX 2080 Ti
132317
+1498%
OpenCL
GeForce GTX 650 Ti
7957
GeForce RTX 2080 Ti
147055
+1748%
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