Home / GPU Comparison / NVIDIA Quadro P2000 or NVIDIA RTX A1000: What's better?

NVIDIA Quadro P2000
vs
NVIDIA RTX A1000

NVIDIA Quadro P2000
vs
NVIDIA RTX A1000

GPU Comparison Result

Below are the results of a comparison of NVIDIA Quadro P2000 and NVIDIA RTX A1000 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

NVIDIA Quadro P2000
NVIDIA Quadro P2000
NVIDIA Quadro P2000
  • Higher Boost Clock: 1480MHz (1480MHz vs 1462MHz)
NVIDIA RTX A1000
NVIDIA RTX A1000
NVIDIA RTX A1000
  • Larger Memory Size: 8GB (5GB vs 8GB)
  • Higher Bandwidth: 192.0 GB/s (140.2 GB/s vs 192.0 GB/s)
  • More Shading Units: 2304 (1024 vs 2304)
  • Newer Launch Date: April 2024 (February 2017 vs April 2024)

Basic

NVIDIA
Label Name
NVIDIA
February 2017
Launch Date
April 2024
Professional
Platform
Desktop
Quadro P2000
Model Name
RTX A1000
Quadro
Generation
Quadro Ampere
1076MHz
Base Clock
727MHz
1480MHz
Boost Clock
1462MHz
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x8
-
Transistors
8,700 million
-
RT Cores
18
-
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.
72
-
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.
72
-
Foundry
Samsung
-
Process Size
8 nm
-
Architecture
Ampere

Memory Specifications

5GB
Memory Size
8GB
GDDR5
Memory Type
GDDR6
160bit
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.
128bit
1752MHz
Memory Clock
1500MHz
140.2 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.
192.0 GB/s

Theoretical Performance

59.20 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.
46.78 GPixel/s
94.72 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.
105.3 GTexel/s
47.36 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.
6.737 TFLOPS
94.72 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.
105.3 GFLOPS
3.092 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.
6.872 TFLOPS

Miscellaneous

8
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.
18
1024
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.
2304
48 KB (per SM)
L1 Cache
128 KB (per SM)
1280KB
L2 Cache
2MB
75W
TDP
50W
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
-
OpenGL
4.6
-
CUDA
8.6
-
DirectX
12 Ultimate (12_2)
-
Power Connectors
None
-
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.
32
-
Shader Model
6.7
-
Suggested PSU
250W

Benchmarks

FP32 (float) / TFLOPS
Quadro P2000
3.092
RTX A1000
6.872 +122%
Blender
Quadro P2000
194.8
RTX A1000
1305.5 +570%
OpenCL
Quadro P2000
19095
RTX A1000
53439 +180%

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