RTX 5880 Ada Generation
NVIDIA RTX 5880 Ada Generation vs NVIDIA GeForce RTX 4070 Ti SUPER
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the NVIDIA RTX 5880 Ada Generation and NVIDIA GeForce RTX 4070 Ti SUPER video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
NVIDIA
NVIDIA
Launch Date
January 2024
January 2024
Platform
Desktop
Desktop
Model Name
RTX 5880 Ada Generation
GeForce RTX 4070 Ti SUPER
Generation
Quadro Ada
GeForce 40
Base Clock
1155MHz
2205MHz
Boost Clock
2550MHz
2505MHz
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.
14080
8448
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.
110
66
L1 Cache
128 KB (per SM)
128 KB (per SM)
L2 Cache
72MB
64MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x16
TDP
285W
320W
Memory Specifications
Memory Size
48GB
16GB
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.
384bit
256bit
Memory Clock
2250MHz
1400MHz
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.
864.0 GB/s
716.8 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.
448.8 GPixel/s
280.6 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.
1122 GTexel/s
661.3 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.
71.81 TFLOPS
42.32 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.
1122 GFLOPS
661.3 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.
71.789
TFlops
43.162
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
OpenCL Version
-
3.0
Advantages
RTX 5880 Ada Generation
- Higher Boost Clock: 2550MHz (2550MHz vs 2505MHz)
- More Shading Units: 14080 (14080 vs 8448)
- Larger Memory Size: 48GB (48GB vs 16GB)
- Higher Bandwidth: 864.0 GB/s (864.0 GB/s vs 716.8 GB/s)
FP32 (float)
RTX 5880 Ada Generation
+66%
71.789
TFlops
GeForce RTX 4070 Ti SUPER
43.162
TFlops
SiliconCat Rating
16
Ranks 16 among Desktop GPU on our website
21
Ranks 21 among all GPU on our website
30
Ranks 30 among Desktop GPU on our website
56
Ranks 56 among all GPU on our website
GeForce RTX 4070 Ti SUPER
