Intel Arc Pro B70
vs
NVIDIA GeForce RTX 3090
vs
GPU Comparison Result
Below are the results of a comparison of
Intel Arc Pro B70
and
NVIDIA GeForce RTX 3090
video cards based on key performance characteristics, as well as power consumption and much more.
Advantages
- Higher Boost Clock: 2800 MHz (2800 MHz vs 1695MHz)
- Larger Memory Size: 32GB (32GB vs 24GB)
- Newer Launch Date: March 2026 (March 2026 vs September 2020)
- Higher Bandwidth: 936.2 GB/s (608.0GB/s vs 936.2 GB/s)
- More Shading Units: 10496 (4096 vs 10496)
Basic
Intel
Label Name
NVIDIA
March 2026
Launch Date
September 2020
Desktop
Platform
Desktop
Arc Pro B70
Model Name
GeForce RTX 3090
Battlemage
Generation
GeForce 30
2280 MHz
Base Clock
1395MHz
2800 MHz
Boost Clock
1695MHz
PCIe 5.0 x16
Bus Interface
PCIe 4.0 x16
Unknown
Transistors
28,300 million
32
RT Cores
82
-
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.
328
256
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.
328
TSMC
Foundry
Samsung
5 nm
Process Size
8 nm
Xe2-HPG
Architecture
Ampere
Memory Specifications
32GB
Memory Size
24GB
GDDR6
Memory Type
GDDR6X
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.
384bit
2375 MHz
Memory Clock
1219MHz
608.0GB/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.
936.2 GB/s
Theoretical Performance
358.4 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.
189.8 GPixel/s
716.8 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.
556.0 GTexel/s
45.88 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.
35.58 TFLOPS
2.867 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.
556.0 GFLOPS
23.399
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.
34.868
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.
82
4096
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.
10496
-
L1 Cache
128 KB (per SM)
16 MB
L2 Cache
6MB
230W
TDP
350W
1.4
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
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
-
CUDA
8.6
1x 8-pin
Power Connectors
1x 12-pin
6.6
Shader Model
6.6
128
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.
112
550 W
Suggested PSU
750W
Benchmarks
FP32 (float)
/ TFLOPS
Arc Pro B70
23.399
GeForce RTX 3090
34.868
+49%
Blender
Arc Pro B70
2503.28
GeForce RTX 3090
5266.54
+110%
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