NVIDIA RTX A4000

NVIDIA RTX A4000

About GPU

The NVIDIA RTX A4000 is a professional-grade GPU that offers impressive performance and a wide range of features that make it a great choice for professional use. With a base clock of 735MHz and a boost clock of 1560MHz, it offers powerful performance that can handle even the most demanding tasks. One of the standout features of the RTX A4000 is its 16GB of GDDR6 memory, which allows for smooth and responsive performance when working with large datasets or complex visualizations. This, alongside the 1750MHz memory clock, ensures that the GPU can handle data-intensive tasks with ease. The 140W TDP also means that the GPU runs efficiently and doesn't consume excessive power. The GPU's 6144 shading units and 4MB L2 cache contribute to its high theoretical performance of 19.17 TFLOPS, making it a reliable choice for complex simulations and rendering tasks. In testing, the RTX A4000 also performs admirably, achieving a score of 11176 in 3DMark Time Spy and reaching an impressive 150fps in Shadow of the Tomb Raider at 1080p resolution. Overall, the NVIDIA RTX A4000 is a powerful and versatile GPU that offers exceptional performance and features suitable for a wide range of professional applications. Whether you're working on complex simulations, large-scale visualizations, or high-fidelity rendering, the RTX A4000 is a solid choice that delivers on both performance and efficiency.

Basic

Label Name
NVIDIA
Platform
Professional
Launch Date
April 2021
Model Name
RTX A4000
Generation
Quadro
Base Clock
735MHz
Boost Clock
1560MHz
Bus Interface
PCIe 4.0 x16
Transistors
17,400 million
RT Cores
48
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.
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.
192
Foundry
Samsung
Process Size
8 nm
Architecture
Ampere

Memory Specifications

Memory Size
16GB
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.
256bit
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.
448.0 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.
149.8 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.
299.5 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.
19.17 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.
599.0 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.
19.553 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.
48
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.
6144
L1 Cache
128 KB (per SM)
L2 Cache
4MB
TDP
140W
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
8.6
Power Connectors
1x 6-pin
Shader Model
6.6
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.
96
Suggested PSU
300W

Benchmarks

Shadow of the Tomb Raider 2160p
Score
49 fps
Shadow of the Tomb Raider 1440p
Score
103 fps
Shadow of the Tomb Raider 1080p
Score
147 fps
FP32 (float)
Score
19.553 TFLOPS
3DMark Time Spy
Score
10952
Blender
Score
3477
OctaneBench
Score
358
Vulkan
Score
108871
OpenCL
Score
122331

Compared to Other GPU

Shadow of the Tomb Raider 2160p / fps
193 +293.9%
69 +40.8%
34 -30.6%
Shadow of the Tomb Raider 1440p / fps
292 +183.5%
128 +24.3%
103
67 -35%
49 -52.4%
Shadow of the Tomb Raider 1080p / fps
310 +110.9%
147
101 -31.3%
FP32 (float) / TFLOPS
21.776 +11.4%
20.89 +6.8%
19.553
16.932 -13.4%
3DMark Time Spy
28395 +159.3%
15945 +45.6%
10952
7004 -36%
Blender
12832 +269.1%
3477
1222 -64.9%
203 -94.2%
OctaneBench
1328 +270.9%
358
163 -54.5%
89 -75.1%
47 -86.9%
Vulkan
254749 +134%
L4
120950 +11.1%
108871
54373 -50.1%
30994 -71.5%
OpenCL
362331 +196.2%
149268 +22%
122331
66428 -45.7%
46137 -62.3%