NVIDIA RTX A4000 vs NVIDIA GeForce RTX 4090
GPU Comparison Result
Below are the results of a comparison of
NVIDIA RTX A4000
and
NVIDIA GeForce RTX 4090
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2520MHz (1560MHz vs 2520MHz)
- Larger Memory Size: 24GB (16GB vs 24GB)
- Higher Bandwidth: 1008 GB/s (448.0 GB/s vs 1008 GB/s)
- More Shading Units: 16384 (6144 vs 16384)
- Newer Launch Date: September 2022 (April 2021 vs September 2022)
Basic
NVIDIA
Label Name
NVIDIA
April 2021
Launch Date
September 2022
Professional
Platform
Desktop
RTX A4000
Model Name
GeForce RTX 4090
Quadro
Generation
GeForce 40
735MHz
Base Clock
2235MHz
1560MHz
Boost Clock
2520MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
17,400 million
Transistors
76,300 million
48
RT Cores
128
192
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.
512
192
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.
512
Samsung
Foundry
TSMC
8 nm
Process Size
4 nm
Ampere
Architecture
Ada Lovelace
Memory Specifications
16GB
Memory Size
24GB
GDDR6
Memory Type
GDDR6X
256bit
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
1750MHz
Memory Clock
1313MHz
448.0 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.
1008 GB/s
Theoretical Performance
149.8 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.
443.5 GPixel/s
299.5 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.
1290 GTexel/s
19.17 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.
82.58 TFLOPS
599.0 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.
1290 GFLOPS
19.553
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.
80.928
TFLOPS
Miscellaneous
48
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.
128
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.
16384
128 KB (per SM)
L1 Cache
128 KB (per SM)
4MB
L2 Cache
72MB
140W
TDP
450W
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 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
8.6
CUDA
8.9
1x 6-pin
Power Connectors
1x 16-pin
6.6
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.
176
300W
Suggested PSU
850W
Benchmarks
Shadow of the Tomb Raider 2160p
/ fps
RTX A4000
49
GeForce RTX 4090
193
+294%
Shadow of the Tomb Raider 1440p
/ fps
RTX A4000
103
GeForce RTX 4090
292
+183%
Shadow of the Tomb Raider 1080p
/ fps
RTX A4000
147
GeForce RTX 4090
304
+107%
FP32 (float)
/ TFLOPS
RTX A4000
19.553
GeForce RTX 4090
80.928
+314%
3DMark Time Spy
RTX A4000
10952
GeForce RTX 4090
36233
+231%
Blender
RTX A4000
3477
GeForce RTX 4090
12832
+269%
OctaneBench
RTX A4000
358
GeForce RTX 4090
1328
+271%
Vulkan
RTX A4000
108871
GeForce RTX 4090
254749
+134%
OpenCL
RTX A4000
122331
GeForce RTX 4090
321810
+163%