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NVIDIA GeForce RTX 4070 SUPER

NVIDIA GeForce RTX 4070 SUPER
NVIDIA GeForce RTX 4070 SUPER is a Desktop video accelerator from NVIDIA. It began to be released in January 2024. The GPU has a boost frequency of 2610MHz. It also has a memory frequency of 1313MHz. Its characteristics, as well as benchmark results, are presented in more detail below.
Top Desktop GPU: 51

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2024
Model Name
GeForce RTX 4070 SUPER
Generation
GeForce 40
Base Clock
2310MHz
Boost Clock
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.
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
L1 Cache
128 KB (per SM)
L2 Cache
48MB
Bus Interface
PCIe 4.0 x16
TDP
285W

Memory Specifications

Memory Size
12GB
Memory Type
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.
192bit
Memory Clock
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.
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.
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.
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.
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.
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.
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
OpenCL Version
3.0

FP32 (float)

37.408 TFlops

3DMark Time Spy

20998

Blender

6094

Vulkan

173796

OpenCL

187894

Compared to Other GPU

52%
58%
90%
Better then 52% GPU over the past year
Better then 58% GPU over the past 3 years
Better then 90% GPU

SiliconCat Rating

51
Ranks 51 among Desktop GPU on our website
82
Ranks 82 among all GPU on our website
FP32 (float)
Instinct MI250X
AMD, November 2021
46.908 TFlops
GeForce RTX 5090 Mobile
NVIDIA, January 2025
42.58 TFlops
GeForce RTX 4070 SUPER
NVIDIA, January 2024
37.408 TFlops
GeForce RTX 3090
NVIDIA, September 2020
34.174 TFlops
GeForce RTX 5070 Ti Mobile
NVIDIA, January 2025
31.937 TFlops
3DMark Time Spy
GeForce RTX 4090
NVIDIA, September 2022
36957
GeForce RTX 4070 SUPER
NVIDIA, January 2024
20998
Radeon RX 6800M
AMD, May 2021
11457
9099
GeForce RTX 2070 Mobile
NVIDIA, January 2019
7229
Blender
GeForce RTX 5090
NVIDIA, January 2025
14728.8
GeForce RTX 4070 SUPER
NVIDIA, January 2024
6094
2085
Radeon 8060S
AMD, January 2025
1224.91
P104 100
NVIDIA, December 2017
600
Vulkan
GeForce RTX 5090 D
NVIDIA, January 2025
382809
GeForce RTX 4070 SUPER
NVIDIA, January 2024
173796
Radeon VII
AMD, February 2019
91792
GeForce GTX 1660 Ti
NVIDIA, February 2019
61425
GeForce GTX 1650
NVIDIA, April 2019
37482
OpenCL
GeForce RTX 5090 D
NVIDIA, January 2025
385013
GeForce RTX 4070 SUPER
NVIDIA, January 2024
187894
GeForce RTX 3060 Ti
NVIDIA, December 2020
112550
Radeon RX 5700 XT
AMD, July 2019
77174
Radeon Pro 5700 XT
AMD, August 2020
59644

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