AMD Radeon RX 7900 XTX
vs
NVIDIA L40S
vs
GPU Comparison Result
Below are the results of a comparison of
AMD Radeon RX 7900 XTX
and
NVIDIA L40S
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Bandwidth: 960.0 GB/s (960.0 GB/s vs 864.0 GB/s)
- Newer Launch Date: November 2022 (November 2022 vs October 2022)
- Higher Boost Clock: 2520MHz (2499MHz vs 2520MHz)
- Larger Memory Size: 48GB (24GB vs 48GB)
- More Shading Units: 18176 (6144 vs 18176)
Basic
AMD
Label Name
NVIDIA
November 2022
Launch Date
October 2022
Desktop
Platform
Desktop
Radeon RX 7900 XTX
Model Name
L40S
Navi III
Generation
Tesla Ada
1855MHz
Base Clock
1110MHz
2499MHz
Boost Clock
2520MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
57,700 million
Transistors
76,300 million
96
RT Cores
142
96
Compute Units
-
-
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.
568
384
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.
568
TSMC
Foundry
TSMC
5 nm
Process Size
5 nm
RDNA 3.0
Architecture
Ada Lovelace
Memory Specifications
24GB
Memory Size
48GB
GDDR6
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.
384bit
2500MHz
Memory Clock
2250MHz
960.0 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.
864.0 GB/s
Theoretical Performance
479.8 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.
483.8 GPixel/s
959.6 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.
1431 GTexel/s
122.8 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.
91.61 TFLOPS
1.919 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.
1431 GFLOPS
62.648
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.
89.778
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.
142
6144
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.
18176
256 KB per Array
L1 Cache
128 KB (per SM)
6MB
L2 Cache
48MB
355W
TDP
300W
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
2.2
OpenCL Version
3.0
4.6
OpenGL
4.6
-
CUDA
8.9
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
2x 8-pin
Power Connectors
1x 16-pin
6.7
Shader Model
6.7
192
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.
192
750W
Suggested PSU
700W
Benchmarks
FP32 (float)
/ TFLOPS
Radeon RX 7900 XTX
62.648
L40S
89.778
+43%
Blender
Radeon RX 7900 XTX
4055
L40S
7254.03
+79%
OpenCL
Radeon RX 7900 XTX
193059
L40S
362331
+88%
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