Radeon RX 7900 GRE
AMD Radeon RX 7900 GRE vs NVIDIA GeForce RTX 4070 SUPER
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the AMD Radeon RX 7900 GRE and NVIDIA GeForce RTX 4070 SUPER video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
AMD
NVIDIA
Launch Date
July 2023
January 2024
Platform
Desktop
Desktop
Model Name
Radeon RX 7900 GRE
GeForce RTX 4070 SUPER
Generation
Navi III
GeForce 40
Base Clock
1287MHz
2310MHz
Boost Clock
2245MHz
2610MHz
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.
5120
7168
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
Transistors
57,700 million
-
RT Cores
80
-
Compute Units
80
-
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.
320
-
L1 Cache
256 KB per Array
128 KB (per SM)
L2 Cache
6MB
48MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x16
Foundry
TSMC
-
Process Size
5 nm
-
Architecture
RDNA 3.0
-
TDP
260W
285W
Memory Specifications
Memory Size
16GB
12GB
Memory Type
GDDR6
GDDR6X
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
192bit
Memory Clock
2250MHz
1313MHz
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.
576.0 GB/s
504.2 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.
431.0 GPixel/s
208.8 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.
718.4 GTexel/s
584.6 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.
91.96 TFLOPS
37.42 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.
1437 GFLOPS
584.6 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.
46.895
TFlops
37.408
TFlops
Miscellaneous
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
1.3
OpenCL Version
2.2
3.0
OpenGL
4.6
-
DirectX
12 Ultimate (12_2)
-
Power Connectors
2x 8-pin
-
Shader Model
6.7
-
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.
192
-
Suggested PSU
600W
-
Advantages
Radeon RX 7900 GRE
- Larger Memory Size: 16GB (16GB vs 12GB)
- Higher Bandwidth: 576.0 GB/s (576.0 GB/s vs 504.2 GB/s)
GeForce RTX 4070 SUPER
- Higher Boost Clock: 2610MHz (2245MHz vs 2610MHz)
- More Shading Units: 7168 (5120 vs 7168)
- Newer Launch Date: January 2024 (July 2023 vs January 2024)
FP32 (float)
Radeon RX 7900 GRE
+25%
46.895
TFlops
GeForce RTX 4070 SUPER
37.408
TFlops
Blender
Radeon RX 7900 GRE
2883
GeForce RTX 4070 SUPER
+111%
6094
Vulkan
Radeon RX 7900 GRE
141871
GeForce RTX 4070 SUPER
+23%
173796
OpenCL
Radeon RX 7900 GRE
159982
GeForce RTX 4070 SUPER
+17%
187894
SiliconCat Rating
28
Ranks 28 among Desktop GPU on our website
51
Ranks 51 among all GPU on our website
36
Ranks 36 among Desktop GPU on our website
67
Ranks 67 among all GPU on our website
GeForce RTX 4070 SUPER
