NVIDIA GeForce RTX 2080 SUPER Max Q
vs
NVIDIA GeForce RTX 3070 Mobile
vs
GPU Comparison Result
Below are the results of a comparison of
NVIDIA GeForce RTX 2080 SUPER Max Q
and
NVIDIA GeForce RTX 3070 Mobile
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 1560MHz (975MHz vs 1560MHz)
- Higher Bandwidth: 448.0 GB/s (352.0 GB/s vs 448.0 GB/s)
- More Shading Units: 5120 (3072 vs 5120)
- Newer Launch Date: January 2021 (April 2020 vs January 2021)
Basic
NVIDIA
Label Name
NVIDIA
April 2020
Launch Date
January 2021
Mobile
Platform
Mobile
GeForce RTX 2080 SUPER Max Q
Model Name
GeForce RTX 3070 Mobile
GeForce 20 Mobile
Generation
GeForce 30 Mobile
735MHz
Base Clock
1110MHz
975MHz
Boost Clock
1560MHz
PCIe 3.0 x16
Bus Interface
PCIe 4.0 x16
13,600 million
Transistors
17,400 million
48
RT Cores
40
384
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.
160
192
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.
160
TSMC
Foundry
Samsung
12 nm
Process Size
8 nm
Turing
Architecture
Ampere
Memory Specifications
8GB
Memory Size
8GB
GDDR6
Memory Type
GDDR6
256bit
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
1375MHz
Memory Clock
1750MHz
352.0 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.
448.0 GB/s
Display and Media
No outputs
Outputs
No outputs
Theoretical Performance
62.40 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.
124.8 GPixel/s
187.2 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.
249.6 GTexel/s
11.98 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.
15.97 TFLOPS
187.2 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.
249.6 GFLOPS
6.11
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.
15.651
TFLOPS
Miscellaneous
48
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.
40
3072
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
64 KB (per SM)
L1 Cache
128 KB (per SM)
4MB
L2 Cache
4MB
80W
TDP
115W
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
3.0
4.6
OpenGL
4.6
7.5
CUDA
8.6
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
None
Power Connectors
None
64
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.
80
6.6
Shader Model
6.6
Benchmarks
FP32 (float)
/ TFLOPS
GeForce RTX 2080 SUPER Max Q
6.11
GeForce RTX 3070 Mobile
15.651
+156%
3DMark Time Spy
GeForce RTX 2080 SUPER Max Q
8689
GeForce RTX 3070 Mobile
10649
+23%
Blender
GeForce RTX 2080 SUPER Max Q
2127
GeForce RTX 3070 Mobile
3109
+46%
OctaneBench
GeForce RTX 2080 SUPER Max Q
202
GeForce RTX 3070 Mobile
369
+83%
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