Benchmark Intel

Intel Core Ultra 9 285K testing with a MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS) and MSI Intel ARL 15GB on Ubuntu 24.10 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 2412063-NE-BENCHMARK61
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Intel Arc A750
December 06 2024
  7 Hours, 52 Minutes
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Intel Arc A750

Processor: Intel Core Ultra 9 285K @ 5.10GHz (24 Cores), Motherboard: MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS), Chipset: Intel Device ae7f, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMH32GX5M2B6000Z30, Disk: 1024GB Wodposit NVMe SSD, Graphics: MSI Intel ARL 15GB, Audio: Intel DG2 Audio, Monitor: PiKVM V3, Network: Realtek Device 5000 + Intel Wi-Fi 7

OS: Ubuntu 24.10, Kernel: 6.12.1-061201-generic (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.3.1 kisak-mesa PPA, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/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
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x110 - Thermald 2.5.8
Python Notes: Python 3.12.7
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: 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: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Benchmark IntelOpenBenchmarking.orgPhoronix Test SuiteIntel Core Ultra 9 285K @ 5.10GHz (24 Cores)MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS)Intel Device ae7f2 x 16GB DDR5-6000MT/s Corsair CMH32GX5M2B6000Z301024GB Wodposit NVMe SSDMSI Intel ARL 15GBIntel DG2 AudioPiKVM V3Realtek Device 5000 + Intel Wi-Fi 7Ubuntu 24.106.12.1-061201-generic (x86_64)GNOME Shell 47.0X Server + Wayland4.6 Mesa 24.3.1 kisak-mesa PPAGCC 14.2.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionBenchmark Intel PerformanceSystem 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,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/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: performance) - CPU Microcode: 0x110 - Thermald 2.5.8 - Python 3.12.7- gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: 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: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Benchmark Intelncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPUv2-yolov3v2-yolov3 - mobilenetv2-yolov3ncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - googlenetncnn: Vulkan GPU - mobilenetvkresample: 2x - Singlevkfft: FFT + iFFT C2C 1D batched in single precision, no reshufflingvkfft: FFT + iFFT C2C multidimensional in single precisionvkfft: FFT + iFFT C2C 1D batched in single precisionvkfft: FFT + iFFT C2C Bluestein in single precisionvkfft: FFT + iFFT R2C / C2Rwaifu2x-ncnn: 2x - 3 - Yesrealsr-ncnn: 4x - Yesrealsr-ncnn: 4x - Novkpeak: fp16-vec4vkpeak: fp16-scalarvkpeak: fp32-vec4vkpeak: fp32-scalarncnn: Vulkan GPU - FastestDetncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU-v2-v2 - mobilenet-v2vkfft: FFT + iFFT C2C 1D batched in half precisionwaifu2x-ncnn: 2x - 3 - NoIntel Arc A750116.3589.5448.7776.4487.5622.0043.8145.5493.1076.4418.8946311331532586255425312185.29166.06610.35622840.7321379.2213898.3216868.9361.47243.6611.5154.5612.005.049.3738.3370571OpenBenchmarking.org

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vision_transformerIntel Arc A750306090120150SE +/- 0.39, N = 3116.35MIN: 49.89 / MAX: 125.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: squeezenet_ssdIntel Arc A75020406080100SE +/- 1.33, N = 389.54MIN: 7.64 / MAX: 108.481. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: yolov4-tinyIntel Arc A7501122334455SE +/- 0.09, N = 348.77MIN: 16.94 / MAX: 52.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPUv2-yolov3v2-yolov3 - Model: mobilenetv2-yolov3Intel Arc A75020406080100SE +/- 0.84, N = 376.44MIN: 9.56 / MAX: 841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet50Intel Arc A75020406080100SE +/- 1.03, N = 387.56MIN: 10.81 / MAX: 101.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: alexnetIntel Arc A750510152025SE +/- 0.16, N = 322.00MIN: 3.54 / MAX: 25.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: resnet18Intel Arc A7501020304050SE +/- 0.87, N = 343.81MIN: 5.02 / MAX: 51.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: vgg16Intel Arc A7501020304050SE +/- 0.12, N = 345.54MIN: 23.39 / MAX: 48.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: googlenetIntel Arc A75020406080100SE +/- 2.20, N = 393.10MIN: 8.42 / MAX: 113.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mobilenetIntel Arc A75020406080100SE +/- 0.84, N = 376.44MIN: 9.56 / MAX: 841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterVkResample 1.0Upscale: 2x - Precision: SingleIntel Arc A750510152025SE +/- 0.04, N = 318.891. (CXX) g++ options: -O3

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in single precision, no reshufflingIntel Arc A75014K28K42K56K70KSE +/- 527.31, N = 3631131. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C multidimensional in single precisionIntel Arc A7507K14K21K28K35KSE +/- 251.38, N = 12315321. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in single precisionIntel Arc A75013K26K39K52K65KSE +/- 70.72, N = 3586251. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C Bluestein in single precisionIntel Arc A75012002400360048006000SE +/- 58.43, N = 354251. (CXX) g++ options: -O3

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT R2C / C2RIntel Arc A7507K14K21K28K35KSE +/- 232.00, N = 15312181. (CXX) g++ options: -O3

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.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: YesIntel Arc A7501.19052.3813.57154.7625.9525SE +/- 0.006, N = 35.291

RealSR-NCNN

RealSR-NCNN is an NCNN neural network implementation of the RealSR project and accelerated using the Vulkan API. RealSR is the Real-World Super Resolution via Kernel Estimation and Noise Injection. 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 by a scale of 4x with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: YesIntel Arc A7501530456075SE +/- 0.01, N = 366.07

OpenBenchmarking.orgSeconds, Fewer Is BetterRealSR-NCNN 20200818Scale: 4x - TAA: NoIntel Arc A7503691215SE +/- 0.01, N = 310.36

vkpeak

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp16-vec4Intel Arc A7505K10K15K20K25KSE +/- 0.55, N = 322840.73

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp16-scalarIntel Arc A7505K10K15K20K25KSE +/- 1.00, N = 321379.22

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp32-vec4Intel Arc A7503K6K9K12K15KSE +/- 0.79, N = 313898.32

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp32-scalarIntel Arc A7504K8K12K16K20KSE +/- 26.85, N = 316868.93

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: FastestDetIntel Arc A7501428425670SE +/- 4.25, N = 361.47MIN: 5.39 / MAX: 1021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: regnety_400mIntel Arc A75050100150200250SE +/- 13.66, N = 3243.66MIN: 23.78 / MAX: 525.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: blazefaceIntel Arc A7503691215SE +/- 2.95, N = 311.51MIN: 2.57 / MAX: 56.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: efficientnet-b0Intel Arc A7501224364860SE +/- 2.82, N = 354.56MIN: 6.64 / MAX: 119.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: mnasnetIntel Arc A7503691215SE +/- 0.84, N = 312.00MIN: 4.04 / MAX: 70.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU - Model: shufflenet-v2Intel Arc A7501.1342.2683.4024.5365.67SE +/- 0.19, N = 35.04MIN: 4.69 / MAX: 90.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3Intel Arc A7503691215SE +/- 3.80, N = 39.37MIN: 4.43 / MAX: 84.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2Intel Arc A750918273645SE +/- 2.78, N = 338.33MIN: 4.08 / MAX: 72.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

VkResample

VkResample is a Vulkan-based image upscaling library based on VkFFT. The sample input file is upscaling a 4K image to 8K using Vulkan-based GPU acceleration. Learn more via the OpenBenchmarking.org test page.

Upscale: 2x - Precision: Double

Intel Arc A750: The test quit with a non-zero exit status.

Betsy GPU Compressor

Betsy is an open-source GPU compressor of various GPU compression techniques. Betsy is written in GLSL for Vulkan/OpenGL (compute shader) support for GPU-based texture compression. Learn more via the OpenBenchmarking.org test page.

Codec: ETC2 RGB - Quality: Highest

Intel Arc A750: The test quit with a non-zero exit status. E: ./betsy: 3: ./betsy: not found

Codec: ETC1 - Quality: Highest

Intel Arc A750: The test quit with a non-zero exit status. E: ./betsy: 3: ./betsy: not found

Libplacebo

Libplacebo is a multimedia rendering library based on the core rendering code of the MPV player. The libplacebo benchmark relies on the Vulkan API and tests various primitives. Learn more via the OpenBenchmarking.org test page.

Intel Arc A750: The test quit with a non-zero exit status. E: fatal: Failed initializing vulkan device

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

Test: FFT + iFFT C2C Bluestein benchmark in double precision

Intel Arc A750: The test quit with a non-zero exit status.

Test: FFT + iFFT C2C 1D batched in double precision

Intel Arc A750: The test quit with a non-zero exit status.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 1.3.4Test: FFT + iFFT C2C 1D batched in half precisionIntel Arc A75015K30K45K60K75KSE +/- 2534.09, N = 15705711. (CXX) g++ options: -O3

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 Arc A750: The test run did not produce a result.

Intel Arc A750

Processor: Intel Core Ultra 9 285K @ 5.10GHz (24 Cores), Motherboard: MSI MEG Z890 UNIFY-X (MS-7E20) v1.0 (1.A10 BIOS), Chipset: Intel Device ae7f, Memory: 2 x 16GB DDR5-6000MT/s Corsair CMH32GX5M2B6000Z30, Disk: 1024GB Wodposit NVMe SSD, Graphics: MSI Intel ARL 15GB, Audio: Intel DG2 Audio, Monitor: PiKVM V3, Network: Realtek Device 5000 + Intel Wi-Fi 7

OS: Ubuntu 24.10, Kernel: 6.12.1-061201-generic (x86_64), Desktop: GNOME Shell 47.0, Display Server: X Server + Wayland, OpenGL: 4.6 Mesa 24.3.1 kisak-mesa PPA, Compiler: GCC 14.2.0, File-System: ext4, Screen Resolution: 1920x1080

Kernel Notes: Transparent Huge Pages: madvise
Compiler Notes: --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,d,fortran,objc,obj-c++,m2,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/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
Processor Notes: Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x110 - Thermald 2.5.8
Python Notes: Python 3.12.7
Security Notes: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: 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: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 6 December 2024 17:15 by user test.