ASRock Arc A580 Challenger OC

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ASRock Arc A580 Challenger OC

Specifications and performance with the benchmarks of the ASRock Arc A580 Challenger OC graphics card dedicated to the desktop sector, it has 384 execution units, with 3072 shading units, its maximum frequency is 2.0GHz The table below makes it possible to observe well the lithography, the number of transistors (if present), the offered cache memory, the quantity of texture mapping units, of render output units, the release date, the GFLOPS performance, the values obtained in the benchmark platforms.

Specifications:

Graphics card		ASRock Arc A580 Challenger OC
Market (main)		Desktop
Release date		Q4 2023
Model number		ACM-G10, SRLX3, A580 CL 8GO
GPU name		DG2-512
Architecture		Xe HPG
Generation		Alchemist Arc 5
Lithography		6 nm
Transistors		21,700,000,000
Bus interface		PCIe 4.0 x16
GPU clock		2,000 MHz
Memory frequency		2,000 MHz
Effective memory speed		16 Gbps
Memory size		8 GB
Memory type		GDDR6
Memory bus		256 bit
Memory bandwidth		512.0 GB/s
TDP		175 W
Suggested PSU		650W ATX Power Supply
Multicard technology		-
Outputs		1x HDMI 3x DisplayPort
Dimensions		271 x 132 x 48 mm
Weight		785 g
Max display resolution		4096 x 2160@60Hz (HDMI), 7680 x 4320@60Hz (DP)
Video decoding		H.265, H.264, VP9
Execution units		384
Shading units		3,072
TMUs		192
ROPs		96
Tensor cores		384
RT cores		24
Cache memory		8 MB
Pixel fillrate		192.0 GPixel/s
Texture fillrate		384.0 GTexel/s
Performance FP16 (half)		24.6 TFLOPS
Performance FP32 (float)		12.3 TFLOPS
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TMUs: texture mapping units. This unit was a physical processor separated from the main graphics processing units. It is able to distort a bitmap image, and also to resize it, to rotate it and to place it as a texture onto a plane of a specific 3D model.

ROPs: render output units. The other name of this unit is raster operations pipeline. This hadware component is taking pixel and texel information, and processing it through vector and matrix operations. The result will be a depth value or a final pixel. It is able to control antialiasing with the merge of several sample into one pixel.

Performance with the benchmarks:

Performance comparison between this graphics card and those of equivalent power, for this we consider the results generated on benchmark softwares and rendering performances.

Pixel fillrate performance comparison for this graphics card:

	Pixel Fillrate Performance in GPixels/s
Gainward GeForce RTX 3080 Ti Phantom GS	193.2
MSI GeForce RTX 3090 Ventus 3X OC	193.2
Gainward GeForce RTX 3090 Phoenix GS	193.2
EVGA GeForce RTX 3080 Ti XC3 Ultra Gaming	193.2
ASRock Arc A580 Challenger OC	192
Sparkle Arc A580 ORC OC	192
Zotac Gaming GeForce RTX 3090 Trinity OC	191.5
Zotac Gaming GeForce RTX 3080 Ti AMP Holo	191.5
Zotac Gaming GeForce RTX 3090 Trinity	189.8
Zotac Gaming GeForce RTX 3090 ArcticStorm	189.8

The term pixel fillrate is refering to the number of pixels that the video card is able to generate every second. This performance is achieved by multiplying the raster output units (ROPs) by the clock frequency of the graphics processor unit (GPU). Matrix and vector operations allow pixel pipelines to process pixels and texels stored in the buffer. The ROPs will then generate transactions between the buffer and local memory. You should know that the higher the pixel rate, the greater the screen resolution that the GPU can manage.

Texture fillrate performance comparison for this graphics card:

	Texture Fillrate Performance in GTexels/s
AMD Radeon RX Vega Nano	395.8
Nvidia Quadro P6000	394.8
ASRock Arc A580 Challenger OC	384
AMD Radeon PRO WX 9100	384
Sparkle Arc A580 ORC OC	384
AMD Radeon Instinct MI25	384
Asus ROG Poseidon GTX 1080 Ti Platinum	382.6
Nvidia Titan Xp	379.7
MSI GeForce GTX 1080 Ti Lightning Z	379.7
Gigabyte AORUS GeForce GTX 1080 Ti	377

The term texture fillrate refers to the number of map texture elements (texels) that the GPU is capable of generating per second. This performance is achieved by multiplying the texture mapping units (TMUs) by the clock frequency of the graphics processor unit. To make a 3D scene in a video game or in 3D editing software such as Blender, the graphics card must perform what is called texture mapping with the texture mapping units.

FP16 performance comparison (half precision; float; floating-point 16) for this graphics card:

	FP16 Performance in GFLOPS
AMD Radeon RX Vega 64	25,330
AMD Radeon RX Vega 64 Limited Edition	25,330
ASRock Arc A580 Challenger OC	24,576
AMD Radeon PRO WX 9100	24,576
Sparkle Arc A580 ORC OC	24,576
AMD Radeon Instinct MI25	24,576
PNY RTX A4500	23,650
Nvidia RTX A4500	23,650
Asus ROG Strix GeForce RTX 4060 Ti OC 16GB	23,631
Palit GeForce RTX 4060 Ti Dual OC 8GB	23,370

The power in FP16, i.e. in a half-precision floating point format, makes it possible to evaluate the ability of the graphics card to manipulate useful data for example in computer applications, such as deep learning with neural networks. These applications use numeric values that have less precision, and therefore require less memory, compared to values with single or double precision formats.

FP32 performance comparison (single precision; float; floating-point 32) for this graphics card:

	FP32 Performance in GFLOPS
AMD Radeon RX Vega Nano	12,660
Nvidia Quadro P6000	12,630
ASRock Arc A580 Challenger OC	12,288
AMD Radeon PRO WX 9100	12,288
Sparkle Arc A580 ORC OC	12,288
AMD Radeon Instinct MI25	12,288
Asus ROG Poseidon GTX 1080 Ti Platinum	12,240
Nvidia Titan Xp	12,150
MSI GeForce GTX 1080 Ti Lightning Z	12,150
Gigabyte AORUS GeForce GTX 1080 Ti	12,064

Single-precision floating-point format, also called FP32, is a computer number format that typically occupies 32 bits in PC memory. This represents a wide dynamic range of numeric values that employs a floating point. FP32 power helps assess the video card's capabilities for generating rendering workloads. Video games use INT32 and FP32 cores to manage calculations with integers and numbers with decimals in order to produce maps, bone matrices on which the vertex shaders will calculate the vertices. Values in single precision format are mainly used in video games and 3D software.

List of comparisons:

List of benchmarks:

FP32 Performance

Equivalence:

ASRock Arc A580 Challenger OC Nvidia Equivalent ASRock Arc A580 Challenger OC AMD Equivalent

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Information:

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