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NVIDIA CMP 50HX

NVIDIA CMP 50HX

NVIDIA CMP 50HX is a Desktop video accelerator from NVIDIA. It began to be released in June 2021. The GPU has a boost frequency of 1545MHz. It also has a memory frequency of 1750MHz. Its characteristics, as well as benchmark results, are presented in more detail below.

Top Desktop GPU: 137

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
June 2021
Model Name
CMP 50HX
Generation
Mining GPUs
Base Clock
1350MHz
Boost Clock
1545MHz
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.
3584
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.
56
Transistors
18,600 million
RT Cores
56
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.
448
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
L1 Cache
64 KB (per SM)
L2 Cache
5MB
Bus Interface
PCIe 3.0 x16
Foundry
TSMC
Process Size
12 nm
Architecture
Turing
TDP
250W

Memory Specifications

Memory Size
10GB
Memory Type
GDDR6
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.
320bit
Memory Clock
1750MHz
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.
560.0 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.
123.6 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.
296.6 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.
22.15 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.
346.1 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.
10.848 TFlops

Miscellaneous

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
7.5
Power Connectors
2x 8-pin
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.
80
Shader Model
6.6
Suggested PSU
600W

FP32 (float)

10.848 TFlops

Blender

1398

OpenCL

28301

Compared to Other GPU

12%
23%
71%
Better then 12% GPU over the past year
Better then 23% GPU over the past 3 years
Better then 71% GPU

SiliconCat Rating

137
Ranks 137 among Desktop GPU on our website
273
Ranks 273 among all GPU on our website
FP32 (float)
Tesla P40
NVIDIA, September 2016
11.994 TFlops
GeForce RTX 2080 SUPER
NVIDIA, July 2019
11.372 TFlops
CMP 50HX
NVIDIA, June 2021
10.848 TFlops
Radeon Pro W5700X
AMD, December 2019
10.647 TFlops
A30 PCIe
NVIDIA, April 2021
10.113 TFlops
Blender
RTX 6000 Ada Generation
NVIDIA, December 2022
11804
Radeon RX 7900 GRE
AMD, July 2023
2883
CMP 50HX
NVIDIA, June 2021
1398
GeForce GTX 1650 SUPER
NVIDIA, November 2019
585
Radeon 680M
AMD, January 2022
254
OpenCL
Radeon RX 5700
AMD, July 2019
66428
GeForce GTX 1070
NVIDIA, June 2016
46137
CMP 50HX
NVIDIA, June 2021
28301
Radeon HD 7770 GHz Edition
AMD, February 2012
14263
GeForce MX330
NVIDIA, February 2020
9356