NVIDIA RTX 4000 Ada Generation
vs
NVIDIA GeForce RTX 4070

vs

GPU Comparison Result

Below are the results of a comparison of NVIDIA RTX 4000 Ada Generation and NVIDIA GeForce RTX 4070 video cards based on key performance characteristics, as well as power consumption and much more.

Advantages

  • Larger Memory Size: 20GB (20GB vs 12GB)
  • More Shading Units: 6144 (6144 vs 5888)
  • Newer Launch Date: August 2023 (August 2023 vs April 2023)
  • Higher Boost Clock: 2475MHz (2175MHz vs 2475MHz)
  • Higher Bandwidth: 504.2 GB/s (280.0 GB/s vs 504.2 GB/s)

Basic

NVIDIA
Label Name
NVIDIA
August 2023
Launch Date
April 2023
Desktop
Platform
Desktop
RTX 4000 Ada Generation
Model Name
GeForce RTX 4070
Quadro Ada
Generation
GeForce 40
1500MHz
Base Clock
1920MHz
2175MHz
Boost Clock
2475MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
35,800 million
Transistors
35,800 million
48
RT Cores
46
192
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
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.
184
TSMC
Foundry
TSMC
5 nm
Process Size
5 nm
Ada Lovelace
Architecture
Ada Lovelace

Memory Specifications

20GB
Memory Size
12GB
GDDR6
Memory Type
GDDR6X
160bit
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
1750MHz
Memory Clock
1313MHz
280.0 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.
504.2 GB/s

Theoretical Performance

174.0 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.
158.4 GPixel/s
417.6 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.
455.4 GTexel/s
26.73 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.
29.15 TFLOPS
417.6 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.
455.4 GFLOPS
27.265 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.
29.733 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.
46
6144
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
128 KB (per SM)
L1 Cache
128 KB (per SM)
48MB
L2 Cache
36MB
130W
TDP
200W
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
8.9
CUDA
8.9
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
1x 16-pin
Power Connectors
1x 16-pin
80
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.
64
6.7
Shader Model
6.7
300W
Suggested PSU
550W

Benchmarks

FP32 (float) / TFLOPS
RTX 4000 Ada Generation
27.265
GeForce RTX 4070
29.733 +9%
Blender
RTX 4000 Ada Generation
5293
GeForce RTX 4070
6138 +16%
OpenCL
RTX 4000 Ada Generation
149948
GeForce RTX 4070
168239 +12%