NVIDIA RTX A1000
vs
AMD Radeon RX 9070 XT

vs

GPU Comparison Result

Below are the results of a comparison of NVIDIA RTX A1000 and AMD Radeon RX 9070 XT video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

  • Higher Boost Clock: 2430 MHz (1462MHz vs 2430 MHz)
  • Larger Memory Size: 16GB (8GB vs 16GB)
  • Higher Bandwidth: 624.1GB/s (192.0 GB/s vs 624.1GB/s)
  • More Shading Units: 4096 (2304 vs 4096)
  • Newer Launch Date: March 2025 (April 2024 vs March 2025)

Basic

NVIDIA
Label Name
AMD
April 2024
Launch Date
March 2025
Desktop
Platform
Desktop
RTX A1000
Model Name
Radeon RX 9070 XT
Quadro Ampere
Generation
Navi IV(RX 9000)
727MHz
Base Clock
1295 MHz
1462MHz
Boost Clock
2430 MHz
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x16
8,700 million
Transistors
Unknown
18
RT Cores
64
-
Compute Units
64
72
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.
256
Samsung
Foundry
TSMC
8 nm
Process Size
4 nm
Ampere
Architecture
RDNA 4.0

Memory Specifications

8GB
Memory Size
16GB
GDDR6
Memory Type
GDDR6
128bit
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
1500MHz
Memory Clock
2438 MHz
192.0 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.
624.1GB/s

Display and Media

4x mini-DisplayPort 1.4a
Outputs
1x HDMI 2.1a3x DisplayPort 2.1

Theoretical Performance

46.78 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.
233.3 GPixel/s
105.3 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.
622.1 GTexel/s
6.737 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.
39.81 TFLOPS
105.3 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.
622.1 GFLOPS
6.872 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.
19.512 TFLOPS

Miscellaneous

18
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.
-
2304
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.
4096
128 KB (per SM)
L1 Cache
128 KB per Array
2MB
L2 Cache
4 MB
50W
TDP
220W
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
2.2
4.6
OpenGL
4.6
8.6
CUDA
-
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
None
Power Connectors
2x 8-pin
32
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
6.7
Shader Model
6.8
250W
Suggested PSU
550 W

Benchmarks

FP32 (float) / TFLOPS
RTX A1000
6.872
Radeon RX 9070 XT
19.512 +184%
Blender
RTX A1000
1305.5
Radeon RX 9070 XT
3356.78 +157%
Vulkan
RTX A1000
49526
Radeon RX 9070 XT
179584 +263%
OpenCL
RTX A1000
53439
Radeon RX 9070 XT
171744 +221%