GeForce RTX 3070 Ti Mobile
NVIDIA GeForce RTX 3070 Ti Mobile vs NVIDIA GeForce RTX 4070 SUPER
GPU Comparison Result
Below are the results of a comparison of the characteristics and performance of the NVIDIA GeForce RTX 3070 Ti Mobile and NVIDIA GeForce RTX 4070 SUPER video cards. This comparison will help you determine which one best suits your needs.
Basic
Label Name
NVIDIA
NVIDIA
Launch Date
January 2022
January 2024
Platform
Mobile
Desktop
Model Name
GeForce RTX 3070 Ti Mobile
GeForce RTX 4070 SUPER
Generation
GeForce 30 Mobile
GeForce 40
Base Clock
915MHz
2310MHz
Boost Clock
1410MHz
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.
5888
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.
46
56
Transistors
17,400 million
-
RT Cores
46
-
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.
184
-
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.
184
-
L1 Cache
128 KB (per SM)
128 KB (per SM)
L2 Cache
4MB
48MB
Bus Interface
PCIe 4.0 x16
PCIe 4.0 x16
Foundry
Samsung
-
Process Size
8 nm
-
Architecture
Ampere
-
TDP
115W
285W
Memory Specifications
Memory Size
8GB
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
1750MHz
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.
448.0 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.
135.4 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.
259.4 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.
16.60 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.
259.4 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.
16.266
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
3.0
3.0
OpenGL
4.6
-
DirectX
12 Ultimate (12_2)
-
CUDA
8.6
-
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.
96
-
Shader Model
6.6
-
Advantages
GeForce RTX 4070 SUPER
- Higher Boost Clock: 2610MHz (1410MHz vs 2610MHz)
- More Shading Units: 7168 (5888 vs 7168)
- Larger Memory Size: 12GB (8GB vs 12GB)
- Higher Bandwidth: 504.2 GB/s (448.0 GB/s vs 504.2 GB/s)
- Newer Launch Date: January 2024 (January 2022 vs January 2024)
FP32 (float)
GeForce RTX 3070 Ti Mobile
16.266
TFlops
GeForce RTX 4070 SUPER
+130%
37.408
TFlops
3DMark Time Spy
GeForce RTX 3070 Ti Mobile
11588
GeForce RTX 4070 SUPER
+81%
20998
Blender
GeForce RTX 3070 Ti Mobile
3349
GeForce RTX 4070 SUPER
+82%
6094
SiliconCat Rating
25
Ranks 25 among Mobile GPU on our website
172
Ranks 172 among all GPU on our website
37
Ranks 37 among Desktop GPU on our website
68
Ranks 68 among all GPU on our website
GeForce RTX 4070 SUPER
