NVIDIA GB10
vs
AMD Radeon 8065S Graphics
vs
GPU Comparison Result
Below are the results of a comparison of
NVIDIA GB10
and
AMD Radeon 8065S Graphics
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Larger Memory Size: 128GB (128GB vs System Shared)
- Higher Bandwidth: 273.2GB/s (273.2GB/s vs 273 GB/s)
- More Shading Units: 6144 (6144 vs 2560)
- Higher Boost Clock: 3000 MHz (2525 MHz vs 3000 MHz)
- Newer Launch Date: May 2026 (August 2025 vs May 2026)
Basic
NVIDIA
Label Name
AMD
August 2025
Launch Date
May 2026
Desktop
Platform
Integrated
GB10
Model Name
AMD Radeon 8065S Graphics
Server Blackwell
Generation
Radeon 8000S
1665 MHz
Base Clock
-
2525 MHz
Boost Clock
3000 MHz
PCIe 5.0 x16
Bus Interface
Integrated
Unknown
Transistors
-
48
RT Cores
40
-
Compute Units
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.
No
384
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
TSMC
3 nm
Process Size
4 nm
Blackwell
Architecture
RDNA 3.5
Memory Specifications
128GB
Memory Size
System Shared
LPDDR5X
Memory Type
System Shared LPDDR5x
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.
256-bit
1067 MHz
Memory Clock
LPDDR5x-8533
273.2GB/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.
273 GB/s
Display and Media
1x HDMI
Outputs
-
Theoretical Performance
121.2 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.
192 GPixel/s
969.6 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.
480 GTexel/s
124.1 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.
30.72 TFLOPS
15.51 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.
480 GFLOPS
31.651
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.
15.36
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.
2560
256 KB (per SM)
L1 Cache
-
50 MB
L2 Cache
-
Unknown
TDP
-
3.0
OpenCL Version
2.1
-
OpenGL
4.6
10.1
CUDA
No
-
DirectX
12
None
Power Connectors
None
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.
64
-
Shader Model
6.8
200 W
Suggested PSU
-
Benchmarks
FP32 (float)
/ TFLOPS
GB10
31.651
+106%
Radeon 8065S Graphics
15.36
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