NVIDIA RTX A4500

NVIDIA RTX A4500

About GPU

The NVIDIA RTX A4500 is a powerful professional GPU that offers exceptional performance for a wide range of professional applications. With a base clock of 1050MHz and a boost clock of 1650MHz, this GPU is capable of handling demanding workloads with ease. The 20GB of GDDR6 memory and a memory clock of 2000MHz ensure that large datasets and complex calculations can be processed efficiently. With 7168 shading units and 6MB of L2 cache, the RTX A4500 delivers impressive visual fidelity and responsiveness. It has a TDP of 200W, making it a relatively power-efficient option for professionals who are conscious of energy consumption. The theoretical performance of 23.65 TFLOPS and benchmark results such as 3DMark Time Spy score of 12869 and 175 fps in Shadow of the Tomb Raider at 1080p resolution demonstrate the GPU's ability to handle graphics-intensive tasks with ease. Whether it's rendering 3D models, simulating complex physics, or running machine learning algorithms, the RTX A4500 excels in providing fast and reliable performance. Overall, the NVIDIA RTX A4500 is an excellent choice for professionals in industries such as content creation, engineering, scientific research, and more. Its combination of high performance, ample memory, and efficient power usage make it a standout option in the professional GPU market.

Basic

Label Name
NVIDIA
Platform
Professional
Launch Date
November 2021
Model Name
RTX A4500
Generation
Quadro
Base Clock
1050MHz
Boost Clock
1650MHz
Bus Interface
PCIe 4.0 x16

Memory Specifications

Memory Size
20GB
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
2000MHz
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.
640.0 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.
158.4 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.
369.6 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.
23.65 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.
739.2 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.
23.177 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.
56
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.
7168
L1 Cache
128 KB (per SM)
L2 Cache
6MB
TDP
200W
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

Benchmarks

Shadow of the Tomb Raider 2160p
Score
66 fps
Shadow of the Tomb Raider 1440p
Score
122 fps
Shadow of the Tomb Raider 1080p
Score
179 fps
FP32 (float)
Score
23.177 TFLOPS
3DMark Time Spy
Score
13126
Vulkan
Score
128478
OpenCL
Score
143520

Compared to Other GPU

Shadow of the Tomb Raider 2160p / fps
69 +4.5%
Shadow of the Tomb Raider 1440p / fps
126 +3.3%
122
Shadow of the Tomb Raider 1080p / fps
185 +3.4%
179
169 -5.6%
FP32 (float) / TFLOPS
23.177 +0%
23.177
23.083 -0.4%
23.083 -0.4%
3DMark Time Spy
13126
12960 -1.3%
Vulkan
136465 +6.2%
132317 +3%
128478
127663 -0.6%
127566 -0.7%
OpenCL
147055 +2.5%
146970 +2.4%
143520
141178 -1.6%
L4
140467 -2.1%