Advantages
- Larger Memory Size: 32GB (32GB vs 12GB)
- Higher Bandwidth: 1229 GB/s (1229 GB/s vs 360.0 GB/s)
- More Shading Units: 7680 (7680 vs 3584)
- Higher Boost Clock: 1777MHz (1502MHz vs 1777MHz)
- Newer Launch Date: September 2021 (November 2020 vs September 2021)
Basic
AMD
Label Name
NVIDIA
November 2020
Launch Date
September 2021
Professional
Platform
Desktop
Radeon Instinct MI100
Model Name
GeForce RTX 3060 12 GB GA104
Radeon Instinct
Generation
GeForce 30
1000MHz
Base Clock
1320MHz
1502MHz
Boost Clock
1777MHz
PCIe 4.0 x16
Bus Interface
PCIe 4.0 x16
-
Transistors
17,400 million
-
RT Cores
28
-
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.
112
-
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.
112
-
Foundry
Samsung
-
Process Size
8 nm
-
Architecture
Ampere
Memory Specifications
32GB
Memory Size
12GB
HBM2
Memory Type
GDDR6
4096bit
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
1200MHz
Memory Clock
1875MHz
1229 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.
360.0 GB/s
Display and Media
-
Outputs
1x HDMI 2.1
3x DisplayPort 1.4a
3x DisplayPort 1.4a
Theoretical Performance
96.13 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.
113.7 GPixel/s
721.0 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.
199.0 GTexel/s
184.6 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.
12.74 TFLOPS
11.54 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.
199.0 GFLOPS
22.609
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.
12.485
TFLOPS
Miscellaneous
-
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.
28
7680
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.
3584
16 KB (per CU)
L1 Cache
128 KB (per SM)
8MB
L2 Cache
3MB
300W
TDP
170W
-
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
-
OpenCL Version
3.0
-
OpenGL
4.6
-
CUDA
8.6
-
DirectX
12 Ultimate (12_2)
-
Power Connectors
1x 12-pin
-
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
-
Shader Model
6.7
-
Suggested PSU
450W
Benchmarks
FP32 (float)
/ TFLOPS
Instinct MI100
22.609
+81%
GeForce RTX 3060 12 GB GA104
12.485
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