Intel Arc A580 Take 3

Intel Core i5-13500 testing with a ASRock B660M Pro RS (12.03 BIOS) and Intel Arctm A580 DG2 8GB on Ubuntu 22.04 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2403124-NE-INTELARCA12
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Result
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Performance Per
Dollar
Date
Run
  Test
  Duration
Intel Arctm A580 DG2
March 11
  1 Hour, 17 Minutes
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Intel Arc A580 Take 3OpenBenchmarking.orgPhoronix Test SuiteIntel Core i5-13500 @ 4.80GHz (14 Cores / 20 Threads)ASRock B660M Pro RS (12.03 BIOS)Intel Device 7aa732GB1000GB KIOXIA-EXCERIA PRO SSDIntel Arctm A580 DG2 8GB (2400MHz)Realtek ALC897DIOS-LDH241DIntel + Realtek RTL8125 2.5GbEUbuntu 22.046.5.0-25-generic (x86_64)GNOME Shell 42.9X Server 1.21.1.4 + Wayland4.6 Mesa 23.2.1-1ubuntu3.1~22.04.2OpenCL 1.1 Mesa 23.2.1-1ubuntu3.1~22.04.21.3.255GCC 11.4.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLOpenCLVulkanCompilerFile-SystemScreen ResolutionIntel Arc A580 Take 3 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x32 - Thermald 2.4.9 - GLAMOR- Python 3.10.12- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: SW sequence + srbds: Not affected + tsx_async_abort: Not affected

Intel Arc A580 Take 3paraview: Many Spheres - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080gravitymark: 1920 x 1080 - OpenGLgravitymark: 1920 x 1080 - Vulkangravitymark: 1920 x 1080 - OpenGL ESunigine-super: 1920 x 1080 - Fullscreen - High - OpenGLunigine-valley: 1920 x 1080 - Fullscreen - OpenGLparaview: Many Spheres - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080paraview: Wavelet Volume - 1920 x 1080glmark2: 1920 x 1080waifu2x-ncnn: 2x - 3 - YesIntel Arctm A580 DG268.55179.61290.250.3128.79.5167.9256.6746872.1703024.7672873.78155645.959OpenBenchmarking.org

ProjectPhysX OpenCL-Benchmark

ProjectPhysX OpenCL-Benchmark provides various OpenCL compute and memory bandwidth micro-benchmarks Learn more via the OpenBenchmarking.org test page.

Intel Arctm A580 DG2: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: | Error: There are no OpenCL devices available. Make sure that the OpenCL 1.2 |

ParaView

This test runs ParaView benchmarks: an open-source data analytics and visualization application. Paraview describes itself as "an open-source, multi-platform data analysis and visualization application. ParaView users can quickly build visualizations to analyze their data using qualitative and quantitative techniques." Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080Intel Arctm A580 DG21530456075SE +/- 0.04, N = 368.55

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080Intel Arctm A580 DG24080120160200SE +/- 0.85, N = 3179.61

OpenBenchmarking.orgFrames / Sec, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080Intel Arctm A580 DG260120180240300SE +/- 1.09, N = 3290.25

GravityMark

GravityMark is a cross-API, cross-platform GPU accelerated benchmark developed by Tellusim. GravityMark aims to exploit the performance of modern GPUs and render hundreds of thousands of objects in real-time all using GPU acceleration. GravityMark supports a variety of graphics rendering APIs and optionally supports accelerated ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: OpenGLIntel Arctm A580 DG20.06750.1350.20250.270.3375SE +/- 0.00, N = 30.3

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: VulkanIntel Arctm A580 DG2306090120150SE +/- 0.00, N = 3128.7

OpenBenchmarking.orgFrames Per Second, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: OpenGL ESIntel Arctm A580 DG23691215SE +/- 0.07, N = 39.5

Resolution: 1920 x 1080 - Renderer: Vulkan Ray-Tracing

Intel Arctm A580 DG2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

Unigine Superposition

This test calculates the average frame-rate within the Superposition demo for the Unigine engine, released in 2017. This engine is extremely demanding on the system's graphics card. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: High - Renderer: OpenGLIntel Arctm A580 DG24080120160200SE +/- 4.85, N = 9167.9MAX: 355.1

Unigine Valley

This test calculates the average frame-rate within the Valley demo for the Unigine engine, released in February 2013. This engine is extremely demanding on the system's graphics card. Unigine Valley relies upon an OpenGL 3 core profile context. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnigine Valley 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Renderer: OpenGLIntel Arctm A580 DG260120180240300SE +/- 1.18, N = 3256.67

GLmark2

This is a test of GLmark2, a basic OpenGL and OpenGL ES 2.0 benchmark supporting various windowing/display back-ends. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2023.01Resolution: 1920 x 1080Intel Arctm A580 DG2120024003600480060005564

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

Scale: 2x - Denoise: 3 - TAA: No

Intel Arctm A580 DG2: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesIntel Arctm A580 DG21.34082.68164.02245.36326.704SE +/- 0.003, N = 35.959