Tuxedo Drivers Ryzen 7 7840HS Linux Perf

AMD Ryzen 7 7840HS Linux benchmarks by Michael Larabel for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2410105-NE-2402117NE25
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Limit displaying results to tests within:

Web Browsers 1 Tests
Timed Code Compilation 5 Tests
C/C++ Compiler Tests 7 Tests
Compression Tests 3 Tests
CPU Massive 11 Tests
Creator Workloads 15 Tests
Desktop Graphics 2 Tests
Encoding 4 Tests
Game Development 2 Tests
HPC - High Performance Computing 4 Tests
Imaging 3 Tests
Machine Learning 4 Tests
Multi-Core 17 Tests
NVIDIA GPU Compute 3 Tests
Intel oneAPI 2 Tests
Programmer / Developer System Benchmarks 8 Tests
Python 2 Tests
Renderers 4 Tests
Server CPU Tests 10 Tests
Single-Threaded 2 Tests
Video Encoding 4 Tests
Common Workstation Benchmarks 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Disable Color Branding
Prefer Vertical Bar Graphs
No Box Plots
On Line Graphs With Missing Data, Connect The Line Gaps

Additional Graphs

Show Perf Per Clock Calculation Graphs Where Applicable
Show Perf Per RAM Channel Calculation Graphs Where Applicable

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs
Condense Test Profiles With Multiple Version Results Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
stock
January 20
  5 Hours, 21 Minutes
performance
February 06
  5 Hours, 43 Minutes
AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core
October 03
  1 Minute
Invert Hiding All Results Option
  3 Hours, 42 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

stock

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 --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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.11.6
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 + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

performance

Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7921K

OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2880x1800

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core

Processor: AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRock B450M-HDV R4.0 (P10.10 BIOS), Chipset: AMD 17h, Memory: 2 x 16GB DDR4-2133MT/s CMK32GX4M2B3000C15, Disk: SSD 256GB, Graphics: AMD Radeon HD 6750 1GB, Audio: AMD Juniper HDMI Audio, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8211/8411

OS: Linuxmint 22, Kernel: 6.8.0-38-generic (x86_64), Desktop: Cinnamon 6.2.9, Display Server: X Server 1.21.1.11, OpenGL: 4.5 Mesa 24.0.9-0ubuntu0.1 (LLVM 17.0.6), Compiler: GCC 13.2.0, 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-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 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/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-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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x800820d
Graphics Notes: GLAMOR
Python Notes: Python 3.12.3
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: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; STIBP: disabled; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Tuxedo Drivers Ryzen 7 7840HS Linux PerfProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkMonitorOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionstockperformanceAMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-CoreAMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads)NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS)AMD Device 14e84 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT2000GB Samsung SSD 980 PRO 2TBAMD Phoenix1 4GB (2700/800MHz)AMD Rembrandt Radeon HD AudioMEDIATEK MT7921KUbuntu 23.106.7.0-060700-generic (x86_64)GNOME Shell 45.2X Server 1.21.1.74.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56)GCC 13.2.0ext42880x1800AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads)ASRock B450M-HDV R4.0 (P10.10 BIOS)AMD 17h2 x 16GB DDR4-2133MT/s CMK32GX4M2B3000C15SSD 256GBAMD Radeon HD 6750 1GBAMD Juniper HDMI AudioSyncMasterRealtek RTL8111/8168/8211/8411Linuxmint 226.8.0-38-generic (x86_64)Cinnamon 6.2.9X Server 1.21.1.114.5 Mesa 24.0.9-0ubuntu0.1 (LLVM 17.0.6)1920x1080OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- stock: --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 --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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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 - performance: --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 --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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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 - AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --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 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/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-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 Details- stock: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104- performance: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104- AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x800820dGraphics Details- stock: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001- performance: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001- AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: GLAMORPython Details- stock: Python 3.11.6- performance: Python 3.11.6- AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: Python 3.12.3Security Details- stock: 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: Mitigation of Safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - performance: 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: Mitigation of Safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: 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: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; STIBP: disabled; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Tuxedo Drivers Ryzen 7 7840HS Linux Perfuvg266: Bosphorus 4K - Ultra Fastuvg266: Bosphorus 4K - Super Fastuvg266: Bosphorus 4K - Very Fastsvt-av1: Preset 8 - Bosphorus 4Kopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUkvazaar: Bosphorus 4K - Super Fastopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastopenvino: Vehicle Detection FP16-INT8 - CPUsvt-av1: Preset 4 - Bosphorus 4Kopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUblender: BMW27 - CPU-Onlyopenvino: Person Vehicle Bike Detection FP16 - CPUindigobench: CPU - Supercarindigobench: CPU - Bedroomappleseed: Disney Materialv-ray: CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUappleseed: Emilydarktable: Server Rack - CPU-onlydarktable: Boat - CPU-onlybuild-ffmpeg: Time To Compilecompress-7zip: Decompression Ratingsvt-av1: Preset 12 - Bosphorus 4Kbuild-linux-kernel: defconfigembree: Pathtracer ISPC - Crownvvenc: Bosphorus 4K - Fastbuild-godot: Time To Compiledarktable: Server Room - CPU-onlydarktable: Masskrug - CPU-onlyembree: Pathtracer ISPC - Asian Dragonpytorch: CPU - 64 - ResNet-152pytorch: CPU - 64 - ResNet-50pytorch: CPU - 64 - Efficientnet_v2_lpytorch: CPU - 1 - ResNet-152build-php: Time To Compilecompress-7zip: Compression Ratingparaview: Wavelet Contour - 1920 x 1080rawtherapee: Total Benchmark Timeparaview: Wavelet Volume - 1920 x 1080tensorflow: CPU - 1 - ResNet-50vvenc: Bosphorus 4K - Fasterbuild-apache: Time To Compileselenium: Jetstream 2 - Firefoxcompress-zstd: 12 - Decompression Speedpytorch: CPU - 1 - ResNet-50tensorflow: CPU - 64 - ResNet-50glmark2: 1920 x 1080llamafile: mistral-7b-instruct-v0.2.Q8_0 - CPUcompress-zstd: 19 - Decompression Speedcompress-zstd: 19, Long Mode - Decompression Speed3dmark: 1920 x 1080pybench: Total For Average Test Timespyperformance: django_templatellamafile: llava-v1.5-7b-q4 - CPUselenium: PSPDFKit WASM - Google Chromecompress-zstd: 19 - Compression Speedgimp: rotatepytorch: CPU - 1 - Efficientnet_v2_lcompress-zstd: 19, Long Mode - Compression Speedcompress-lz4: 9 - Decompression Speedopenscad: Pistolgimp: resizegimp: unsharp-maskselenium: Jetstream 2 - Google Chromegimp: auto-levelsselenium: WASM imageConvolute - Google Chromepyperformance: regex_compileopenscad: Projector Mount Swivelcompress-lz4: 1 - Decompression Speedselenium: Speedometer - Google Chromecompress-lz4: 3 - Compression Speedpyperformance: python_startupselenium: WASM collisionDetection - Google Chromeopenscad: Mini-ITX Casecompress-lz4: 1 - Compression Speedvkmark: 1920 x 1080 - Mailboxcompress-zstd: 12 - Compression Speedunigine-super: 1920 x 1080 - Fullscreen - Low - OpenGLcompress-lz4: 3 - Decompression Speedcompress-lz4: 9 - Compression Speedparaview: Many Spheres - 1920 x 1080selenium: Kraken - Google Chromephpbench: PHP Benchmark Suitepyperformance: json_loadspyperformance: crypto_pyaesgravitymark: 1920 x 1080 - Vulkansvt-av1: Preset 13 - Bosphorus 4Kparaview: Wavelet Volume - 1920 x 1080paraview: Wavelet Contour - 1920 x 1080paraview: Many Spheres - 1920 x 1080selenium: PSPDFKit WASM - FirefoxstockperformanceAMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core21.2217.8716.9328.767221.43997.2235.911735.474.5526.970.387.939.90403.2721.3936.136.833.640582.187.3319400.10148.69542.974.1221.853205.22411061060.3266.21369.6811630.3926.14456.20263606100.910113.46811.15224.072430.8452.8153.86713.332412.7530.228.3120.3268.17675487155.8259.745231.4612.588.41120.222183.4171949.949.9422.8845385.481619.51574.696.5158721.29.03252412.313.18712.016.855257.555.48513.48515.451288.39213.87619.2371.44.2455574.7295138.277.30258.2325.650878.162646121.168.95048.544.5429.43422.3110386611.845.542.898.3743703.3031623.8332949.85825.6721.4219.9833.708256.241150.7831.131999.213.9531.060.336.9011.34352.2724.4641.295.994.149663.256.4622003.95131.21614.634.6492.088182.1427651194367.3259.34333.2129860.3545.56650.97370001110.992103.24012.16184.426399.7482.6373.64314.139913.5231.888.7321.3365.27878807162.5457.480239.2012.958.18719.709186.9091986.950.8823.1945975.551638.91557.897.5059321.09.11254612.413.29012.106.805219.755.09213.39015.349286.90613.80719.3271.14.2615594.7296137.827.28258.8525.706879.972651120.969.05043.944.5029.42422.4110399611.845.542.8106.4413827.1561693.8332949.412OpenBenchmarking.org

uvg266

uvg266 is an open-source VVC/H.266 (Versatile Video Coding) encoder based on Kvazaar as part of the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Faststockperformance612182430SE +/- 0.03, N = 3SE +/- 0.02, N = 321.2225.67
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra Fastperformancestock0.15570.31140.46710.62280.77850.5650.692
MinAvgMaxperformance5.045.453.8stock5.030.735.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 1257 Joules per run.2. stock: Approximate power consumption of 1002 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Faststockperformance510152025SE +/- 0.02, N = 3SE +/- 0.01, N = 317.8721.42
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super Fastperformancestock0.1280.2560.3840.5120.640.4580.569
MinAvgMaxperformance5.046.854.2stock5.131.435.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 1513 Joules per run.2. stock: Approximate power consumption of 1193 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very Faststockperformance510152025SE +/- 0.04, N = 3SE +/- 0.22, N = 416.9319.98
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very Fastperformancestock0.12040.24080.36120.48160.6020.4230.535
MinAvgMaxperformance5.047.354.0stock5.231.635.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 1618 Joules per run.2. stock: Approximate power consumption of 1255 Joules per run.

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4Kstockperformance816243240SE +/- 0.16, N = 3SE +/- 0.03, N = 328.7733.711. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4Kperformancestock0.22640.45280.67920.90561.1320.8191.006
MinAvgMaxperformance4.941.254.6stock5.128.635.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 988 Joules per run.2. stock: Approximate power consumption of 762 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUstockperformance60120180240300SE +/- 0.86, N = 3SE +/- 0.23, N = 3221.43256.241. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUstockperformance2004006008001000SE +/- 0.75, N = 3SE +/- 0.97, N = 3997.221150.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUstockperformance816243240SE +/- 0.15, N = 3SE +/- 0.03, N = 335.9131.13MIN: 25.74 / MAX: 58.33MIN: 19.45 / MAX: 58.371. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxperformance5.150.754.6stock5.233.035.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3276 Joules per run.2. stock: Approximate power consumption of 2134 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUstockperformance400800120016002000SE +/- 0.83, N = 3SE +/- 0.93, N = 31735.471999.211. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUstockperformance1.02382.04763.07144.09525.119SE +/- 0.00, N = 3SE +/- 0.00, N = 34.553.95MIN: 2.69 / MAX: 25.68MIN: 2.35 / MAX: 13.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxperformance4.950.654.5stock5.333.035.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3273 Joules per run.2. stock: Approximate power consumption of 2133 Joules per run.

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super Faststockperformance714212835SE +/- 0.02, N = 3SE +/- 0.07, N = 326.9731.061. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super Fastperformancestock0.20270.40540.60810.81081.01350.7030.901
MinAvgMaxperformance5.144.254.1stock4.929.935.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 1046 Joules per run.2. stock: Approximate power consumption of 798 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUstockperformance0.08550.1710.25650.3420.4275SE +/- 0.00, N = 3SE +/- 0.00, N = 30.380.33MIN: 0.19 / MAX: 7.73MIN: 0.19 / MAX: 9.781. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxperformance5.050.654.5stock5.233.035.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3272 Joules per run.2. stock: Approximate power consumption of 2132 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUstockperformance246810SE +/- 0.00, N = 3SE +/- 0.01, N = 37.936.90MIN: 4.16 / MAX: 25.9MIN: 3.65 / MAX: 24.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxperformance5.050.454.5stock5.233.135.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3245 Joules per run.2. stock: Approximate power consumption of 2130 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUstockperformance3691215SE +/- 0.01, N = 3SE +/- 0.01, N = 39.9011.341. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUstockperformance90180270360450SE +/- 0.17, N = 3SE +/- 0.37, N = 3403.27352.27MIN: 194.05 / MAX: 453.01MIN: 250.33 / MAX: 410.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxperformance5.150.154.6stock5.232.635.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3322 Joules per run.2. stock: Approximate power consumption of 2176 Joules per run.

Kvazaar

This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very Faststockperformance612182430SE +/- 0.21, N = 3SE +/- 0.28, N = 421.3924.461. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very Fastperformancestock0.15680.31360.47040.62720.7840.5400.697
MinAvgMaxperformance4.945.353.8stock4.830.735.2OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 1290 Joules per run.2. stock: Approximate power consumption of 992 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra Faststockperformance918273645SE +/- 0.05, N = 4SE +/- 0.07, N = 436.1341.291. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra Fastperformancestock0.28260.56520.84781.13041.4130.9901.256
MinAvgMaxperformance5.041.753.5stock5.128.835.0OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 782 Joules per run.2. stock: Approximate power consumption of 597 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUstockperformance246810SE +/- 0.00, N = 3SE +/- 0.01, N = 36.835.99MIN: 4.03 / MAX: 19.87MIN: 3.35 / MAX: 22.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxperformance5.050.654.6stock5.133.035.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3273 Joules per run.2. stock: Approximate power consumption of 2121 Joules per run.

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4Kstockperformance0.93351.8672.80053.7344.6675SE +/- 0.017, N = 3SE +/- 0.005, N = 33.6404.1491. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4Kperformancestock0.02630.05260.07890.10520.13150.0910.117
MinAvgMaxperformance5.245.754.3stock5.131.035.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 2026 Joules per run.2. stock: Approximate power consumption of 1540 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUstockperformance140280420560700SE +/- 0.23, N = 3SE +/- 0.80, N = 3582.18663.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUstockperformance246810SE +/- 0.02, N = 3SE +/- 0.01, N = 37.336.46MIN: 5.45 / MAX: 17.77MIN: 4.46 / MAX: 20.841. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxperformance5.050.454.6stock5.332.935.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3278 Joules per run.2. stock: Approximate power consumption of 2138 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUstockperformance5K10K15K20K25KSE +/- 9.12, N = 3SE +/- 18.25, N = 319400.1022003.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-Onlystockperformance306090120150SE +/- 0.04, N = 3SE +/- 0.05, N = 3148.69131.21
MinAvgMaxperformance4.952.254.7stock5.034.135.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 7101 Joules per run.2. stock: Approximate power consumption of 5227 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUstockperformance130260390520650SE +/- 1.33, N = 3SE +/- 0.97, N = 3542.97614.631. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

IndigoBench

This is a test of Indigo Renderer's IndigoBench benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercarstockperformance1.0462.0923.1384.1845.23SE +/- 0.011, N = 3SE +/- 0.011, N = 34.1224.649
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercarperformancestock0.02840.05680.08520.11360.1420.0930.126
MinAvgMaxperformance5.049.854.5stock5.232.635.3OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3289 Joules per run.2. stock: Approximate power consumption of 2155 Joules per run.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroomstockperformance0.46980.93961.40941.87922.349SE +/- 0.006, N = 3SE +/- 0.003, N = 31.8532.088
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroomperformancestock0.01280.02560.03840.05120.0640.0420.057
MinAvgMaxperformance4.950.254.3stock5.132.835.4OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3279 Joules per run.2. stock: Approximate power consumption of 2153 Joules per run.

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney Materialstockperformance50100150200250205.22182.14
MinAvgMaxperformance5.351.754.5stock5.134.535.3OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor1530456075

Chaos Group V-RAY

This is a test of Chaos Group's V-RAY benchmark. V-RAY is a commercial renderer that can integrate with various creator software products like SketchUp and 3ds Max. The V-RAY benchmark is standalone and supports CPU and NVIDIA CUDA/RTX based rendering. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUstockperformance3K6K9K12K15KSE +/- 41.36, N = 3SE +/- 93.51, N = 31061011943
OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPUperformancestock80160240320400266.68354.36
MinAvgMaxperformance5.144.854.3stock5.129.935.2OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3523 Joules per run.2. stock: Approximate power consumption of 2355 Joules per run.

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUstockperformance1530456075SE +/- 0.04, N = 3SE +/- 0.08, N = 360.3267.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Machine Translation EN To DE FP16 - Device: CPUstockperformance1530456075SE +/- 0.04, N = 3SE +/- 0.07, N = 366.2159.34MIN: 41.75 / MAX: 97.23MIN: 34.42 / MAX: 85.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl
MinAvgMaxperformance4.950.354.5stock5.532.835.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3285 Joules per run.2. stock: Approximate power consumption of 2144 Joules per run.

Appleseed

Appleseed is an open-source production renderer focused on physically-based global illumination rendering engine primarily designed for animation and visual effects. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Emilystockperformance80160240320400369.68333.21
MinAvgMaxperformance5.352.454.6stock5.234.535.5OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor1530456075

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Rack - Acceleration: CPU-onlystockperformance0.08820.17640.26460.35280.441SE +/- 0.003, N = 15SE +/- 0.002, N = 120.3920.354
MinAvgMaxperformance4.89.425.2OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor8162432401. performance: Approximate power consumption of 52 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Boat - Acceleration: CPU-onlystockperformance246810SE +/- 0.003, N = 6SE +/- 0.012, N = 66.1445.566
MinAvgMaxperformance5.026.754.0OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 289 Joules per run.

Timed FFmpeg Compilation

This test times how long it takes to build the FFmpeg multimedia library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 6.1Time To Compilestockperformance1326395265SE +/- 0.03, N = 3SE +/- 0.05, N = 356.2050.97
MinAvgMaxperformance5.145.854.2stock5.131.035.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 2670 Joules per run.2. stock: Approximate power consumption of 1961 Joules per run.

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression Ratingstockperformance15K30K45K60K75KSE +/- 280.35, N = 3SE +/- 420.21, N = 363606700011. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression Ratingperformancestock50010001500200025001694.292219.33
MinAvgMaxperformance4.941.354.4stock5.028.735.2OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 1198 Joules per run.2. stock: Approximate power consumption of 869 Joules per run.

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4Kstockperformance20406080100SE +/- 0.12, N = 6SE +/- 0.22, N = 6100.91110.991. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4Kperformancestock1.07172.14343.21514.28685.35853.8224.763
MinAvgMaxperformance4.929.054.7stock5.221.235.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 324 Joules per run.2. stock: Approximate power consumption of 247 Joules per run.

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigstockperformance306090120150SE +/- 0.56, N = 3SE +/- 0.60, N = 3113.47103.24
MinAvgMaxperformance5.044.954.3stock5.130.535.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 5136 Joules per run.2. stock: Approximate power consumption of 3796 Joules per run.

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownstockperformance3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 311.1512.16MIN: 11.02 / MAX: 11.44MIN: 12.01 / MAX: 12.57
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Crownperformancestock0.07560.15120.22680.30240.3780.2400.336
MinAvgMaxperformance5.050.754.5stock5.033.235.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3347 Joules per run.2. stock: Approximate power consumption of 2376 Joules per run.

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Faststockperformance0.99591.99182.98773.98364.9795SE +/- 0.038, N = 3SE +/- 0.006, N = 34.0724.4261. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fastperformancestock0.0290.0580.0870.1160.1450.0980.129
MinAvgMaxperformance4.945.054.1stock5.131.535.2OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 6309 Joules per run.2. stock: Approximate power consumption of 4781 Joules per run.

Timed Godot Game Engine Compilation

This test times how long it takes to compile the Godot Game Engine. Godot is a popular, open-source, cross-platform 2D/3D game engine and is built using the SCons build system and targeting the X11 platform. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compilestockperformance90180270360450SE +/- 0.10, N = 3SE +/- 0.21, N = 3430.85399.75
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption Monitorperformancestock1122334455Min: 4.96 / Avg: 49.87 / Max: 54.51Min: 5.2 / Avg: 32.94 / Max: 35.451. performance: Approximate power consumption of 20197 Joules per run.2. stock: Approximate power consumption of 14361 Joules per run.

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Room - Acceleration: CPU-onlystockperformance0.63341.26681.90022.53363.167SE +/- 0.004, N = 8SE +/- 0.002, N = 82.8152.637
MinAvgMaxperformance4.817.451.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 144 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Masskrug - Acceleration: CPU-onlystockperformance0.87011.74022.61033.48044.3505SE +/- 0.012, N = 7SE +/- 0.009, N = 73.8673.643
MinAvgMaxperformance4.920.151.4OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 183 Joules per run.

Embree

Intel Embree is a collection of high-performance ray-tracing kernels for execution on CPUs (and GPUs via SYCL) and supporting instruction sets such as SSE, AVX, AVX2, and AVX-512. Embree also supports making use of the Intel SPMD Program Compiler (ISPC). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonstockperformance48121620SE +/- 0.01, N = 3SE +/- 0.03, N = 313.3314.14MIN: 13.23 / MAX: 13.55MIN: 13.98 / MAX: 14.43
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragonperformancestock0.09160.18320.27480.36640.4580.2820.407
MinAvgMaxperformance5.050.154.6stock5.332.835.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 2888 Joules per run.2. stock: Approximate power consumption of 1998 Joules per run.

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152stockperformance3691215SE +/- 0.04, N = 3SE +/- 0.10, N = 312.7513.52MIN: 8.78 / MAX: 13.12MIN: 8.45 / MAX: 14.03
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-152performancestock0.08510.17020.25530.34040.42550.2720.378
MinAvgMaxperformance5.349.753.9stock5.233.735.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 7003 Joules per run.2. stock: Approximate power consumption of 5011 Joules per run.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50stockperformance714212835SE +/- 0.13, N = 3SE +/- 0.31, N = 330.2231.88MIN: 19.6 / MAX: 31.2MIN: 21.53 / MAX: 33.62
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: ResNet-50performancestock0.21020.42040.63060.84081.0510.6850.934
MinAvgMaxperformance4.946.653.7stock5.132.335.3OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 2917 Joules per run.2. stock: Approximate power consumption of 2113 Joules per run.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lstockperformance246810SE +/- 0.09, N = 3SE +/- 0.09, N = 38.318.73MIN: 5.73 / MAX: 8.96MIN: 5.86 / MAX: 9.52
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 64 - Model: Efficientnet_v2_lperformancestock0.05490.10980.16470.21960.27450.1940.244
MinAvgMaxperformance5.144.949.5stock5.334.135.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor14284256701. performance: Approximate power consumption of 10093 Joules per run.2. stock: Approximate power consumption of 8028 Joules per run.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152stockperformance510152025SE +/- 0.12, N = 3SE +/- 0.06, N = 320.3221.33MIN: 13.74 / MAX: 21.11MIN: 17.23 / MAX: 22.16
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152performancestock0.14290.28580.42870.57160.71450.4800.635
MinAvgMaxperformance5.244.450.3stock5.332.035.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor14284256701. performance: Approximate power consumption of 2634 Joules per run.2. stock: Approximate power consumption of 1974 Joules per run.

Timed PHP Compilation

This test times how long it takes to build PHP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To Compilestockperformance1530456075SE +/- 0.18, N = 3SE +/- 0.17, N = 368.1865.28
MinAvgMaxperformance5.133.354.2stock5.125.535.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 8.1.9CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 2498 Joules per run.2. stock: Approximate power consumption of 1990 Joules per run.

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression Ratingstockperformance20K40K60K80K100KSE +/- 125.57, N = 3SE +/- 32.20, N = 375487788071. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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: Wavelet Contour - Resolution: 1920 x 1080stockperformance4080120160200SE +/- 1.20, N = 5SE +/- 0.35, N = 5155.82162.54
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080stockperformance400800120016002000SE +/- 12.52, N = 5SE +/- 3.63, N = 51623.831693.83
OpenBenchmarking.orgMiPolys / Sec Per Watt, More Is BetterParaView 5.10.1Test: Wavelet Contour - Resolution: 1920 x 1080performancestock2040608010090.9694.36
MinAvgMaxperformance5.018.648.2stock5.217.235.1OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.10.1CPU Power Consumption Monitor14284256701. performance: Approximate power consumption of 283 Joules per run.2. stock: Approximate power consumption of 262 Joules per run.

RawTherapee

RawTherapee is a cross-platform, open-source multi-threaded RAW image processing program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Timestockperformance1326395265SE +/- 0.07, N = 3SE +/- 0.05, N = 359.7557.481. RawTherapee, version 5.9, command line.
MinAvgMaxperformance5.127.039.8stock5.222.328.1OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor11223344551. performance: Approximate power consumption of 1703 Joules per run.2. stock: Approximate power consumption of 1450 Joules per run.

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: Wavelet Volume - Resolution: 1920 x 1080stockperformance50100150200250SE +/- 2.06, N = 15SE +/- 2.25, N = 15231.46239.20
OpenBenchmarking.orgMiVoxels / Sec, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080stockperformance8001600240032004000SE +/- 33.02, N = 15SE +/- 36.04, N = 153703.303827.16
OpenBenchmarking.orgMiVoxels / Sec Per Watt, More Is BetterParaView 5.10.1Test: Wavelet Volume - Resolution: 1920 x 1080stockperformance60120180240300270.04274.74
MinAvgMaxperformance4.913.930.8stock5.013.730.4OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.10.1CPU Power Consumption Monitor9182736451. performance: Approximate power consumption of 162 Joules per run.2. stock: Approximate power consumption of 162 Joules per run.

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50stockperformance3691215SE +/- 0.02, N = 4SE +/- 0.02, N = 412.5812.95
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50performancestock0.12110.24220.36330.48440.60550.4490.538
MinAvgMaxperformance5.128.848.1stock5.323.435.1OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor14284256701. performance: Approximate power consumption of 475 Joules per run.2. stock: Approximate power consumption of 380 Joules per run.

VVenC

VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under the Clear BSD License. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterperformancestock246810SE +/- 0.013, N = 3SE +/- 0.008, N = 38.1878.4111. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: Fasterperformancestock0.06170.12340.18510.24680.30850.2030.274
MinAvgMaxperformance5.040.354.1stock5.030.735.2OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 3195 Joules per run.2. stock: Approximate power consumption of 2342 Joules per run.

Timed Apache Compilation

This test times how long it takes to build the Apache HTTPD web server. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To Compilestockperformance510152025SE +/- 0.01, N = 3SE +/- 0.06, N = 320.2219.71
MinAvgMaxperformance5.021.547.8stock5.218.631.7OpenBenchmarking.orgWatts, Fewer Is BetterTimed Apache Compilation 2.4.41CPU Power Consumption Monitor14284256701. performance: Approximate power consumption of 702 Joules per run.2. stock: Approximate power consumption of 613 Joules per run.

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Firefoxstockperformance4080120160200SE +/- 1.49, N = 3SE +/- 1.40, N = 11183.42186.911. firefox 121.0.1
OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Firefoxstockperformance369121512.6013.50
MinAvgMaxstock5.114.632.4performance4.913.844.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor12243648601. stock: Approximate power consumption of 1834 Joules per run.2. performance: Approximate power consumption of 1988 Joules per run.

Benchmark: Jetstream 2 - Browser: Firefox

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'selenium'

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedstockperformance400800120016002000SE +/- 27.48, N = 3SE +/- 9.54, N = 31949.91986.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression Speedperformancestock2040608010088.9290.05
MinAvgMaxperformance4.822.337.7stock5.121.735.0OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor11223344551. performance: Approximate power consumption of 1497 Joules per run.2. stock: Approximate power consumption of 1451 Joules per run.

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50stockperformance1122334455SE +/- 0.71, N = 3SE +/- 0.26, N = 349.9450.88MIN: 31.46 / MAX: 52.62MIN: 39.51 / MAX: 53.02
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50performancestock0.39150.7831.17451.5661.95751.3581.740
MinAvgMaxperformance5.037.548.7stock5.228.735.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor14284256701. performance: Approximate power consumption of 1087 Joules per run.2. stock: Approximate power consumption of 842 Joules per run.

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50stockperformance612182430SE +/- 0.01, N = 3SE +/- 0.25, N = 322.8823.19
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 64 - Model: ResNet-50performancestock0.15190.30380.45570.60760.75950.5240.675
MinAvgMaxperformance4.644.351.3stock5.433.935.2OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 13754 Joules per run.2. stock: Approximate power consumption of 10704 Joules per run.

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 1080stockperformance1000200030004000500045384597
OpenBenchmarking.orgScore Per Watt, More Is BetterGLmark2 2023.01Resolution: 1920 x 1080performancestock306090120150124.03135.66
MinAvgMaxperformance5.137.153.9stock4.933.535.3OpenBenchmarking.orgWatts, Fewer Is BetterGLmark2 2023.01CPU Power Consumption Monitor1530456075

Llamafile

Mozilla's Llamafile allows distributing and running large language models (LLMs) as a single file. Llamafile aims to make open-source LLMs more accessible to developers and users. Llamafile supports a variety of models, CPUs and GPUs, and other options. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPUstockperformance1.24882.49763.74644.99526.244SE +/- 0.01, N = 3SE +/- 0.00, N = 35.485.55
OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlamafile 0.6Test: mistral-7b-instruct-v0.2.Q8_0 - Acceleration: CPUperformancestock0.03650.0730.10950.1460.18250.1380.162
MinAvgMaxperformance5.140.150.3stock5.433.835.1OpenBenchmarking.orgWatts, Fewer Is BetterLlamafile 0.6CPU Power Consumption Monitor14284256701. performance: Approximate power consumption of 6440 Joules per run.2. stock: Approximate power consumption of 6000 Joules per run.

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedstockperformance400800120016002000SE +/- 4.94, N = 3SE +/- 10.94, N = 31619.51638.91. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression Speedstockperformance2040608010081.9283.09
MinAvgMaxstock5.119.833.9performance4.919.733.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor10203040501. stock: Approximate power consumption of 1391 Joules per run.2. performance: Approximate power consumption of 1394 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedperformancestock30060090012001500SE +/- 1.31, N = 3SE +/- 5.90, N = 31557.81574.61. (CC) gcc options: -O3 -pthread -lz -llzma
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression Speedperformancestock20406080100101.27102.12
MinAvgMaxstock4.915.424.3performance4.915.423.8OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor8162432401. stock: Approximate power consumption of 1033 Joules per run.2. performance: Approximate power consumption of 1036 Joules per run.

3DMark Wild Life Extreme

This test profile only automates the vendor build of 3DMark with its command-line / JSON support. If you do not have a licensed copy of the necessary 3DMark binaries in your Phoronix Test Suite download cache on your system, this test profile will not do anything and simply fail. You must have already obtained the proper licensed binaries from UL for this test profile to work -- this test profile simply automates the firing of the 3DMark benchmark at your desired resolution and capturing the results within the Phoronix Test Suite while you must already have the necessary 3DMark files on your system. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Better3DMark Wild Life Extreme 1.1.2.1Resolution: 1920 x 1080stockperformance20406080100SE +/- 0.08, N = 3SE +/- 0.15, N = 396.5197.50
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Better3DMark Wild Life Extreme 1.1.2.1Resolution: 1920 x 1080performancestock0.6751.352.0252.73.3752.5353.000
MinAvgMaxperformance5.238.549.5stock5.232.235.4OpenBenchmarking.orgWatts, Fewer Is Better3DMark Wild Life Extreme 1.1.2.1CPU Power Consumption Monitor14284256701. performance: Approximate power consumption of 2577 Joules per run.2. stock: Approximate power consumption of 2155 Joules per run.

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Timesperformancestock130260390520650SE +/- 2.78, N = 4SE +/- 2.33, N = 4593587
MinAvgMaxstock5.112.615.9performance2.511.915.8OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 226 Joules per run.2. performance: Approximate power consumption of 229 Joules per run.

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatestockperformance510152025SE +/- 0.07, N = 3SE +/- 0.03, N = 321.221.0
MinAvgMaxstock4.913.715.5performance4.913.615.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 535 Joules per run.2. performance: Approximate power consumption of 532 Joules per run.

Llamafile

Mozilla's Llamafile allows distributing and running large language models (LLMs) as a single file. Llamafile aims to make open-source LLMs more accessible to developers and users. Llamafile supports a variety of models, CPUs and GPUs, and other options. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlamafile 0.6Test: llava-v1.5-7b-q4 - Acceleration: CPUstockperformance3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 39.039.11
OpenBenchmarking.orgTokens Per Second Per Watt, More Is BetterLlamafile 0.6Test: llava-v1.5-7b-q4 - Acceleration: CPUperformancestock0.0650.130.1950.260.3250.2100.289
MinAvgMaxperformance5.243.454.1stock5.131.335.1OpenBenchmarking.orgWatts, Fewer Is BetterLlamafile 0.6CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 1664 Joules per run.2. stock: Approximate power consumption of 1304 Joules per run.

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google Chromeperformancestock5001000150020002500SE +/- 4.06, N = 3SE +/- 7.51, N = 3254625241. chrome 120.0.6099.224
MinAvgMaxperformance5.111.117.3stock5.311.017.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor5101520251. performance: Approximate power consumption of 404 Joules per run.2. stock: Approximate power consumption of 386 Joules per run.

Benchmark: PSPDFKit WASM - Browser: Google Chrome

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'selenium'

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression Speedstockperformance3691215SE +/- 0.03, N = 3SE +/- 0.03, N = 312.312.41. (CC) gcc options: -O3 -pthread -lz -llzma

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: rotateperformancestock3691215SE +/- 0.04, N = 4SE +/- 0.03, N = 413.2913.19
MinAvgMaxperformance4.811.514.9OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor5101520251. performance: Approximate power consumption of 216 Joules per run.

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lstockperformance3691215SE +/- 0.01, N = 3SE +/- 0.13, N = 312.0112.10MIN: 9.63 / MAX: 12.36MIN: 9.85 / MAX: 12.78
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lperformancestock0.08210.16420.24630.32840.41050.2980.365
MinAvgMaxperformance5.040.644.7stock5.232.935.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor12243648601. performance: Approximate power consumption of 4049 Joules per run.2. stock: Approximate power consumption of 3292 Joules per run.

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression Speedperformancestock246810SE +/- 0.04, N = 3SE +/- 0.06, N = 36.806.851. (CC) gcc options: -O3 -pthread -lz -llzma

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (silesia archive) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Decompression Speedperformancestock11002200330044005500SE +/- 30.09, N = 3SE +/- 19.83, N = 35219.75257.51. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Decompression Speedstockperformance90180270360450416.32416.86
MinAvgMaxstock5.212.615.8performance4.712.515.7OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.4CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 379 Joules per run.2. performance: Approximate power consumption of 380 Joules per run.

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Pistolstockperformance1224364860SE +/- 0.28, N = 3SE +/- 0.06, N = 355.4955.091. OpenSCAD version 2021.01
MinAvgMaxperformance4.913.515.7stock4.913.415.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor5101520251. performance: Approximate power consumption of 800 Joules per run.2. stock: Approximate power consumption of 798 Joules per run.

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: resizestockperformance3691215SE +/- 0.08, N = 4SE +/- 0.03, N = 413.4913.39
MinAvgMaxperformance4.916.125.9OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor8162432401. performance: Approximate power consumption of 302 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: unsharp-maskstockperformance48121620SE +/- 0.06, N = 4SE +/- 0.06, N = 415.4515.35
MinAvgMaxperformance5.014.920.7OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor6121824301. performance: Approximate power consumption of 313 Joules per run.

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google Chromeperformancestock60120180240300SE +/- 0.71, N = 3SE +/- 3.11, N = 3286.91288.391. chrome 120.0.6099.224
OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google Chromestockperformance51015202517.8318.64
MinAvgMaxstock5.316.234.4performance4.815.445.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor12243648601. stock: Approximate power consumption of 1251 Joules per run.2. performance: Approximate power consumption of 1277 Joules per run.

Benchmark: Jetstream 2 - Browser: Google Chrome

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'selenium'

GIMP

GIMP is an open-source image manipulaton program. This test profile will use the system-provided GIMP program otherwise on Windows relys upon a pre-packaged Windows binary from upstream GIMP.org. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: auto-levelsstockperformance48121620SE +/- 0.01, N = 4SE +/- 0.01, N = 413.8813.81
MinAvgMaxperformance5.013.618.7OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor6121824301. performance: Approximate power consumption of 262 Joules per run.

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google Chromeperformancestock510152025SE +/- 0.06, N = 6SE +/- 0.02, N = 619.3219.231. chrome 120.0.6099.224
MinAvgMaxstock5.18.014.4performance5.07.814.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 88 Joules per run.2. performance: Approximate power consumption of 87 Joules per run.

Benchmark: WASM imageConvolute - Browser: Google Chrome

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'selenium'

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilestockperformance1632486480SE +/- 0.09, N = 3SE +/- 0.10, N = 371.471.1
MinAvgMaxstock5.213.515.5performance5.013.415.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 427 Joules per run.2. performance: Approximate power consumption of 420 Joules per run.

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount Swivelperformancestock0.95871.91742.87613.83484.7935SE +/- 0.015, N = 8SE +/- 0.015, N = 84.2614.2451. OpenSCAD version 2021.01
MinAvgMaxstock4.910.215.6performance4.810.115.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 86 Joules per run.2. performance: Approximate power consumption of 84 Joules per run.

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (silesia archive) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Decompression Speedstockperformance12002400360048006000SE +/- 4.68, N = 3SE +/- 6.53, N = 35574.75594.71. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Decompression Speedstockperformance90180270360450428.69437.70
MinAvgMaxstock4.913.015.8performance4.812.815.4OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.4CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 355 Joules per run.2. performance: Approximate power consumption of 349 Joules per run.

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google Chromestockperformance60120180240300SE +/- 1.76, N = 3SE +/- 1.53, N = 32952961. chrome 120.0.6099.224
OpenBenchmarking.orgRuns Per Minute Per Watt, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google Chromestockperformance51015202521.3121.73
MinAvgMaxstock5.213.822.7performance5.213.621.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. stock: Approximate power consumption of 609 Joules per run.2. performance: Approximate power consumption of 608 Joules per run.

Benchmark: Speedometer - Browser: Google Chrome

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'selenium'

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (silesia archive) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Compression Speedperformancestock306090120150SE +/- 0.14, N = 3SE +/- 0.26, N = 3137.82138.271. (CC) gcc options: -O3

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupstockperformance246810SE +/- 0.00, N = 3SE +/- 0.01, N = 37.307.28
MinAvgMaxperformance5.012.113.4stock5.112.113.2OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor481216201. performance: Approximate power consumption of 803 Joules per run.2. stock: Approximate power consumption of 800 Joules per run.

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google Chromeperformancestock60120180240300SE +/- 0.58, N = 4SE +/- 0.04, N = 4258.85258.231. chrome 120.0.6099.224
MinAvgMaxstock5.29.614.7performance5.19.514.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 163 Joules per run.2. performance: Approximate power consumption of 160 Joules per run.

Benchmark: WASM collisionDetection - Browser: Google Chrome

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'selenium'

OpenSCAD

OpenSCAD is a programmer-focused solid 3D CAD modeller. OpenSCAD is free software and allows creating 3D CAD objects in a script-based modelling environment. This test profile will use the system-provided OpenSCAD program otherwise and time how long it takes tn render different SCAD assets to PNG output. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX Caseperformancestock612182430SE +/- 0.05, N = 3SE +/- 0.14, N = 325.7125.651. OpenSCAD version 2021.01
MinAvgMaxstock5.113.115.4performance4.713.015.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 393 Joules per run.2. performance: Approximate power consumption of 389 Joules per run.

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (silesia archive) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 1 - Compression Speedstockperformance2004006008001000SE +/- 2.46, N = 3SE +/- 1.58, N = 3878.16879.971. (CC) gcc options: -O3

VKMark

VKMark is a collection of open-source Vulkan tests / rendering benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2022-05-16Resolution: 1920 x 1080 - Present Mode: Mailboxstockperformance6001200180024003000SE +/- 0.88, N = 3SE +/- 1.15, N = 3264626511. (CXX) g++ options: -pthread -ldl -std=c++14 -O0 -MD -MQ -MF
OpenBenchmarking.orgVKMark Score Per Watt, More Is BetterVKMark 2022-05-16Resolution: 1920 x 1080 - Present Mode: Mailboxperformancestock2040608010087.7688.53
MinAvgMaxperformance5.130.239.3stock5.529.935.0OpenBenchmarking.orgWatts, Fewer Is BetterVKMark 2022-05-16CPU Power Consumption Monitor11223344551. performance: Approximate power consumption of 4068 Joules per run.2. stock: Approximate power consumption of 4025 Joules per run.

Zstd Compression

This test measures the time needed to compress/decompress a sample file (silesia.tar) using Zstd (Zstandard) compression with options for different compression levels / settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression Speedperformancestock306090120150SE +/- 0.35, N = 3SE +/- 0.47, N = 3120.9121.11. (CC) gcc options: -O3 -pthread -lz -llzma

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: Low - Renderer: OpenGLstockperformance1530456075SE +/- 0.12, N = 3SE +/- 0.62, N = 768.969.0MAX: 101MAX: 103.8
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterUnigine Superposition 1.0Resolution: 1920 x 1080 - Mode: Fullscreen - Quality: Low - Renderer: OpenGLperformancestock0.470.941.411.882.351.6662.089
OpenBenchmarking.orgWatts, Fewer Is BetterUnigine Superposition 1.0CPU Power Consumption Monitorperformancestock1020304050Min: 5.23 / Avg: 41.42 / Max: 51.06Min: 4.85 / Avg: 32.98 / Max: 35.121. performance: Approximate power consumption of 7923 Joules per run.2. stock: Approximate power consumption of 6344 Joules per run.

LZ4 Compression

This test measures the time needed to compress/decompress a sample file (silesia archive) using LZ4 compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Decompression Speedperformancestock11002200330044005500SE +/- 19.77, N = 3SE +/- 10.93, N = 35043.95048.51. (CC) gcc options: -O3
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.4Compression Level: 3 - Decompression Speedperformancestock90180270360450391.14392.33
MinAvgMaxperformance5.012.915.5stock4.912.915.4OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.4CPU Power Consumption Monitor5101520251. performance: Approximate power consumption of 340 Joules per run.2. stock: Approximate power consumption of 343 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.4Compression Level: 9 - Compression Speedperformancestock1020304050SE +/- 0.18, N = 3SE +/- 0.22, N = 344.5044.541. (CC) gcc options: -O3

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 1080performancestock714212835SE +/- 0.00, N = 3SE +/- 0.00, N = 329.4229.43
OpenBenchmarking.orgMiPolys / Sec, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080performancestock6001200180024003000SE +/- 0.35, N = 3SE +/- 0.23, N = 32949.412949.86
OpenBenchmarking.orgMiPolys / Sec Per Watt, More Is BetterParaView 5.10.1Test: Many Spheres - Resolution: 1920 x 1080performancestock306090120150121.92126.81
MinAvgMaxperformance5.124.238.6stock5.223.335.0OpenBenchmarking.orgWatts, Fewer Is BetterParaView 5.10.1CPU Power Consumption Monitor11223344551. performance: Approximate power consumption of 968 Joules per run.2. stock: Approximate power consumption of 930 Joules per run.

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google Chromeperformancestock90180270360450SE +/- 1.34, N = 3SE +/- 0.17, N = 3422.4422.31. chrome 120.0.6099.224
MinAvgMaxstock5.210.119.4performance5.210.018.7OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. stock: Approximate power consumption of 223 Joules per run.2. performance: Approximate power consumption of 224 Joules per run.

Benchmark: Kraken - Browser: Google Chrome

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'selenium'

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suitestockperformance200K400K600K800K1000KSE +/- 5109.68, N = 3SE +/- 3091.62, N = 311038661103996
OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark Suitestockperformance20K40K60K80K100K90621.7391884.81
MinAvgMaxstock5.112.214.8performance4.812.015.1OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 276 Joules per run.2. performance: Approximate power consumption of 280 Joules per run.

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsperformancestock3691215SE +/- 0.00, N = 3SE +/- 0.00, N = 311.811.8
MinAvgMaxstock4.912.815.0performance4.912.314.9OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 338 Joules per run.2. performance: Approximate power consumption of 344 Joules per run.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesperformancestock1020304050SE +/- 0.00, N = 3SE +/- 0.03, N = 345.545.5
MinAvgMaxstock5.113.515.4performance4.913.415.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor5101520251. stock: Approximate power consumption of 485 Joules per run.2. performance: Approximate power consumption of 486 Joules per run.

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: Vulkanstockperformance1020304050SE +/- 0.45, N = 3SE +/- 0.43, N = 342.842.8
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterGravityMark 1.82Resolution: 1920 x 1080 - Renderer: Vulkanperformancestock0.35620.71241.06861.42481.7811.5731.583
MinAvgMaxperformance5.027.236.1stock5.027.034.1OpenBenchmarking.orgWatts, Fewer Is BetterGravityMark 1.82CPU Power Consumption Monitor10203040501. performance: Approximate power consumption of 4735 Joules per run.2. stock: Approximate power consumption of 4714 Joules per run.

CPU Power Consumption Monitor

OpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringperformancestock1122334455Min: 2.5 / Avg: 34.09 / Max: 54.71Min: 2.65 / Avg: 26.43 / Max: 35.64

SVT-AV1

MinAvgMaxperformance4.929.054.6stock5.021.235.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor1530456075

OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4Kperformancestock1.04292.08583.12874.17165.21453.6674.635

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4Kstockperformance20406080100SE +/- 1.01, N = 15SE +/- 1.95, N = 1598.37106.441. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4Kperformancestock1.04292.08583.12874.17165.21453.6674.635
MinAvgMaxperformance4.929.054.6stock5.021.235.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor15304560751. performance: Approximate power consumption of 329 Joules per run.2. stock: Approximate power consumption of 250 Joules per run.

Selenium

This test profile uses the Selenium WebDriver for running various browser benchmarks in different available web browsers such as Mozilla Firefox and Google Chrome. Learn more via the OpenBenchmarking.org test page.

Benchmark: PSPDFKit WASM - Browser: Firefox

stock: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)

performance: The test quit with a non-zero exit status. E: ERROR: test_untitled_test_case (__main__.UntitledTestCase.test_untitled_test_case)

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core: The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'selenium'

102 Results Shown

uvg266:
  Bosphorus 4K - Ultra Fast
  Bosphorus 4K - Super Fast
  Bosphorus 4K - Very Fast
SVT-AV1
OpenVINO:
  Handwritten English Recognition FP16-INT8 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Handwritten English Recognition FP16-INT8 - CPU
  Face Detection Retail FP16-INT8 - CPU
  Face Detection Retail FP16-INT8 - CPU
Kvazaar
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Face Detection FP16-INT8 - CPU
  Face Detection FP16-INT8 - CPU
Kvazaar:
  Bosphorus 4K - Very Fast
  Bosphorus 4K - Ultra Fast
OpenVINO
SVT-AV1
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
Blender
OpenVINO
IndigoBench:
  CPU - Supercar
  CPU - Bedroom
Appleseed
Chaos Group V-RAY
OpenVINO:
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
Appleseed
Darktable:
  Server Rack - CPU-only
  Boat - CPU-only
Timed FFmpeg Compilation
7-Zip Compression
SVT-AV1
Timed Linux Kernel Compilation
Embree
VVenC
Timed Godot Game Engine Compilation
Darktable:
  Server Room - CPU-only
  Masskrug - CPU-only
Embree
PyTorch:
  CPU - 64 - ResNet-152
  CPU - 64 - ResNet-50
  CPU - 64 - Efficientnet_v2_l
  CPU - 1 - ResNet-152
Timed PHP Compilation
7-Zip Compression
ParaView
RawTherapee
ParaView
TensorFlow
VVenC
Timed Apache Compilation
Selenium
Zstd Compression
PyTorch
TensorFlow
GLmark2
Llamafile
Zstd Compression:
  19 - Decompression Speed
  19, Long Mode - Decompression Speed
3DMark Wild Life Extreme
PyBench
PyPerformance
Llamafile
Selenium
Zstd Compression
GIMP
PyTorch
Zstd Compression
LZ4 Compression
OpenSCAD
GIMP:
  resize
  unsharp-mask
Selenium
GIMP
Selenium
PyPerformance
OpenSCAD
LZ4 Compression
Selenium
LZ4 Compression
PyPerformance
Selenium
OpenSCAD
LZ4 Compression
VKMark
Zstd Compression
Unigine Superposition
LZ4 Compression:
  3 - Decompression Speed
  9 - Compression Speed
ParaView
Selenium
PHPBench
PyPerformance:
  json_loads
  crypto_pyaes
GravityMark
CPU Power Consumption Monitor:
  Phoronix Test Suite System Monitoring
  CPU Power Consumption Monitor
  Preset 13 - Bosphorus 4K
SVT-AV1

stock

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 --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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.11.6
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 + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 20 January 2024 14:28 by user phoronix.

performance

Processor: AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads), Motherboard: NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS), Chipset: AMD Device 14e8, Memory: 4 x 8GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT, Disk: 2000GB Samsung SSD 980 PRO 2TB, Graphics: AMD Phoenix1 4GB (2700/800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7921K

OS: Ubuntu 23.10, Kernel: 6.7.0-060700-generic (x86_64), Desktop: GNOME Shell 45.2, Display Server: X Server 1.21.1.7, OpenGL: 4.6 Mesa 24.1~git2401200600.ebcab1~oibaf~m (git-ebcab14 2024-01-20 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2880x1800

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 --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-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-XYspKM/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-XYspKM/gcc-13-13.2.0/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: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 4096 MB - vBIOS Version: 113-PHXGENERIC-001
Python Notes: Python 3.11.6
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 + retbleed: Not affected + spec_rstack_overflow: Mitigation of Safe RET + 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 6 February 2024 15:49 by user phoronix.

AMD Radeon HD 6750 - AMD Ryzen 7 2700X Eight-Core

Processor: AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRock B450M-HDV R4.0 (P10.10 BIOS), Chipset: AMD 17h, Memory: 2 x 16GB DDR4-2133MT/s CMK32GX4M2B3000C15, Disk: SSD 256GB, Graphics: AMD Radeon HD 6750 1GB, Audio: AMD Juniper HDMI Audio, Monitor: SyncMaster, Network: Realtek RTL8111/8168/8211/8411

OS: Linuxmint 22, Kernel: 6.8.0-38-generic (x86_64), Desktop: Cinnamon 6.2.9, Display Server: X Server 1.21.1.11, OpenGL: 4.5 Mesa 24.0.9-0ubuntu0.1 (LLVM 17.0.6), Compiler: GCC 13.2.0, 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-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 --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-13-uJ7kn6/gcc-13-13.2.0/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-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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x800820d
Graphics Notes: GLAMOR
Python Notes: Python 3.12.3
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: Mitigation of untrained return thunk; SMT vulnerable + spec_rstack_overflow: Mitigation of Safe RET + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines; IBPB: conditional; STIBP: disabled; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 3 October 2024 17:45 by user lombardo.