NVIDIA GeForce RTX 4060 Ti 16 GB vs AMD Radeon PRO W7700
GPU Comparison Result
Below are the results of a comparison of NVIDIA GeForce RTX 4060 Ti 16 GB and AMD Radeon PRO W7700 video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- More Shading Units: 4352 (4352 vs 3072)
- Higher Boost Clock: 2600MHz (2535MHz vs 2600MHz)
- Higher Bandwidth: 576.0 GB/s (288.0 GB/s vs 576.0 GB/s)
- Newer Launch Date: November 2023 (May 2023 vs November 2023)
Basic
NVIDIA
Label Name
AMD
May 2023
Launch Date
November 2023
Desktop
Platform
Desktop
GeForce RTX 4060 Ti 16 GB
Model Name
Radeon PRO W7700
GeForce 40
Generation
Radeon Pro Navi
2310MHz
Base Clock
1900MHz
2535MHz
Boost Clock
2600MHz
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x16
22,900 million
Transistors
28,100 million
34
RT Cores
48
-
Compute Units
48
136
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.
-
136
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.
192
TSMC
Foundry
TSMC
5 nm
Process Size
5 nm
Ada Lovelace
Architecture
RDNA 3.0
Memory Specifications
16GB
Memory Size
16GB
GDDR6
Memory Type
GDDR6
128bit
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
2250MHz
Memory Clock
2250MHz
288.0 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.
576.0 GB/s
Theoretical Performance
121.7 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.
249.6 GPixel/s
344.8 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.
499.2 GTexel/s
22.06 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.
63.90 TFLOPS
344.8 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.
998.4 GFLOPS
22.501
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.
31.311
TFLOPS
Miscellaneous
34
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.
-
4352
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.
3072
128 KB (per SM)
L1 Cache
128 KB per Array
32MB
L2 Cache
2MB
165W
TDP
190W
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)
8.9
CUDA
-
1x 16-pin
Power Connectors
1x 8-pin
48
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
6.7
Shader Model
6.7
450W
Suggested PSU
450W
Benchmarks
FP32 (float)
/ TFLOPS
GeForce RTX 4060 Ti 16 GB
22.501
Radeon PRO W7700
31.311
+39%
