NVIDIA GeForce RTX 3070 Ti vs AMD Radeon PRO W7600
GPU Comparison Result
Below are the results of a comparison of NVIDIA GeForce RTX 3070 Ti and AMD Radeon PRO W7600 video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Bandwidth: 608.3 GB/s (608.3 GB/s vs 288.0 GB/s)
- More Shading Units: 6144 (6144 vs 2048)
- Higher Boost Clock: 2440MHz (1770MHz vs 2440MHz)
- Newer Launch Date: August 2023 (May 2021 vs August 2023)
Basic
NVIDIA
Label Name
AMD
May 2021
Launch Date
August 2023
Desktop
Platform
Desktop
GeForce RTX 3070 Ti
Model Name
Radeon PRO W7600
GeForce 30
Generation
Radeon Pro Navi
1575MHz
Base Clock
1720MHz
1770MHz
Boost Clock
2440MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x8
17,400 million
Transistors
13,300 million
48
RT Cores
32
-
Compute Units
32
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.
-
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.
128
Samsung
Foundry
TSMC
8 nm
Process Size
6 nm
Ampere
Architecture
RDNA 3.0
Memory Specifications
8GB
Memory Size
8GB
GDDR6X
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.
128bit
1188MHz
Memory Clock
2250MHz
608.3 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.
288.0 GB/s
Theoretical Performance
169.9 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.
156.2 GPixel/s
339.8 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.
312.3 GTexel/s
21.75 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.
39.98 TFLOPS
339.8 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.
624.6 GFLOPS
21.315
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.
19.59
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.
-
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.
2048
128 KB (per SM)
L1 Cache
128 KB per Array
4MB
L2 Cache
2MB
290W
TDP
130W
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
2.2
4.6
OpenGL
4.6
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
8.6
CUDA
-
1x 12-pin
Power Connectors
1x 6-pin
96
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
6.6
Shader Model
6.7
600W
Suggested PSU
300W
Benchmarks
FP32 (float)
/ TFLOPS
GeForce RTX 3070 Ti
21.315
+9%
Radeon PRO W7600
19.59
OpenCL
GeForce RTX 3070 Ti
138595
+70%
Radeon PRO W7600
81575
