NVIDIA GeForce RTX 4050 vs AMD Radeon R9 380
GPU Comparison Result
Below are the results of a comparison of
NVIDIA GeForce RTX 4050
and
AMD Radeon R9 380
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Larger Memory Size: 6GB (6GB vs 2GB)
- Higher Bandwidth: 216.0 GB/s (216.0 GB/s vs 176.0 GB/s)
- More Shading Units: 2560 (2560 vs 1792)
- Newer Launch Date: January 2023 (January 2023 vs June 2015)
Basic
NVIDIA
Label Name
AMD
January 2023
Launch Date
June 2015
Desktop
Platform
Desktop
GeForce RTX 4050
Model Name
Radeon R9 380
GeForce 40
Generation
Pirate Islands
2505MHz
Base Clock
-
2640MHz
Boost Clock
-
PCIe 4.0 x8
Bus Interface
PCIe 3.0 x16
Unknown
Transistors
5,000 million
18
RT Cores
-
-
Compute Units
28
120
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.
-
80
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.
112
TSMC
Foundry
TSMC
5 nm
Process Size
28 nm
Ada Lovelace
Architecture
GCN 3.0
Memory Specifications
6GB
Memory Size
2GB
GDDR6
Memory Type
GDDR5
96bit
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
2250MHz
Memory Clock
1375MHz
216.0 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.
176.0 GB/s
Theoretical Performance
84.48 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.
31.04 GPixel/s
211.2 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.
108.6 GTexel/s
13.52 TFLOPS
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.
3.476 TFLOPS
211.2 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.
217.3 GFLOPS
13.25
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.
3.406
TFLOPS
Miscellaneous
18
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.
-
2560
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.
1792
128 KB (per SM)
L1 Cache
16 KB (per CU)
32MB
L2 Cache
512KB
150W
TDP
190W
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.
1.2
3.0
OpenCL Version
2.0
4.6
OpenGL
4.6
8.9
CUDA
-
12 Ultimate (12_2)
DirectX
12 (12_0)
1x 12-pin
Power Connectors
2x 6-pin
6.7
Shader Model
6.3
32
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.
32
450W
Suggested PSU
450W
Benchmarks
FP32 (float)
/ TFLOPS
GeForce RTX 4050
13.25
+289%
Radeon R9 380
3.406
