Advantages
- Higher Boost Clock: 1733MHz (1733MHz vs 1560MHz)
- Higher Bandwidth: 448.0 GB/s (288.5 GB/s vs 448.0 GB/s)
- More Shading Units: 6144 (2560 vs 6144)
- Newer Launch Date: April 2021 (October 2016 vs April 2021)
Basic
NVIDIA
Label Name
NVIDIA
October 2016
Launch Date
April 2021
Professional
Platform
Professional
Quadro P5000
Model Name
RTX A4000
Quadro
Generation
Quadro
1607MHz
Base Clock
735MHz
1733MHz
Boost Clock
1560MHz
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
7,200 million
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
160
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
TSMC
Foundry
Samsung
16 nm
Process Size
8 nm
Pascal
Architecture
Ampere
Memory Specifications
16GB
Memory Size
16GB
GDDR5X
Memory Type
GDDR6
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.
256bit
1127MHz
Memory Clock
1750MHz
288.5 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.
448.0 GB/s
Display and Media
1x DVI
4x DisplayPort 1.4a
4x DisplayPort 1.4a
Outputs
4x DisplayPort 1.4a
Theoretical Performance
110.9 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.
149.8 GPixel/s
277.3 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.
299.5 GTexel/s
138.6 GFLOPS
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
277.3 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.
599.0 GFLOPS
8.696
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.
19.553
TFLOPS
Miscellaneous
20
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
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.
6144
48 KB (per SM)
L1 Cache
128 KB (per SM)
2MB
L2 Cache
4MB
180W
TDP
140W
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
6.1
CUDA
8.6
12 (12_1)
DirectX
12 Ultimate (12_2)
1x 8-pin
Power Connectors
1x 6-pin
64
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
6.4
Shader Model
6.6
450W
Suggested PSU
300W
Benchmarks
FP32 (float)
/ TFLOPS
Quadro P5000
8.696
RTX A4000
19.553
+125%
3DMark Time Spy
Quadro P5000
6131
RTX A4000
10952
+79%
Blender
Quadro P5000
497.75
RTX A4000
3477
+599%
OpenCL
Quadro P5000
40953
RTX A4000
122331
+199%
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