AMD Ryzen 7 7840HS Linux Benchmarks

Intel Core Ultra 7 155H 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 2401197-NE-RYZENCPU860
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Core Ultra 7 155H
December 16 2023
  2 Days, 23 Hours, 19 Minutes
Ryzen 7 7840U
December 14 2023
  1 Day, 13 Hours, 52 Minutes
Ryzen 7 7840HS
January 16
  1 Day, 8 Hours, 27 Minutes
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  1 Day, 23 Hours, 12 Minutes

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Core Ultra 7 155H

Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 16GB, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: Intel Arc MTL 15GB (2250MHz), Audio: Intel Meteor Lake-P HD Audio, Network: Intel Device 7e40

OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x13 - Thermald 2.5.4
Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)
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: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Ryzen 7 7840U

Processor: AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads), Motherboard: Framework FRANMDCP07 (03.03 BIOS), Chipset: AMD Device 14e8, Memory: 16GB, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: AMD Phoenix1 512MB (2700/2800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI

OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2256x1504

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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: amd-pstate-epp powersave - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced
Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)
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: Vulnerable: Safe RET no microcode + 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

Ryzen 7 7840HS

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 8 GB 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 + Wayland, OpenGL: 4.6 Mesa 24.1~git2401140600.3c7460~oibaf~m (git-3c7460c 2024-01-14 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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)
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

AMD Ryzen 7 7840HS Linux BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HSIntel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads)MTL Coral_MTH (V1.01 BIOS)Intel Device 7e7f16GB1024GB Micron_2550_MTFDKBA1T0TGEIntel Arc MTL 15GB (2250MHz)Intel Meteor Lake-P HD AudioIntel Device 7e40Ubuntu 23.106.7.0-060700rc5-generic (x86_64)GNOME Shell 45.1X Server 1.21.1.7 + Wayland4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa)GCC 13.2.0ext41920x1200AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads)Framework FRANMDCP07 (03.03 BIOS)AMD Device 14e8512GB Western Digital WD PC SN740 SDDPNQD-512GAMD Phoenix1 512MB (2700/2800MHz)AMD Rembrandt Radeon HD AudioMEDIATEK MT7922 802.11ax PCI2256x1504AMD Ryzen 7 7840HS @ 5.29GHz (8 Cores / 16 Threads)NB05 TUXEDO Pulse 14 Gen3 R14FA1 (8.06 BIOS)4 x 8 GB DRAM-6400MT/s Micron MT62F2G32D4DS-026 WT2000GB Samsung SSD 980 PRO 2TBAMD Phoenix1 4GB (2700/800MHz)MEDIATEK MT7921K6.7.0-060700-generic (x86_64)GNOME Shell 45.2X Server + Wayland4.6 Mesa 24.1~git2401140600.3c7460~oibaf~m (git-3c7460c 2024-01-14 mantic-oibaf-ppa) (LLVM 16.0.6 DRM 3.56)2880x1800OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Disk Details- NONE / relatime,rw / Block Size: 4096Processor Details- Core Ultra 7 155H: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x13 - Thermald 2.5.4- Ryzen 7 7840U: Scaling Governor: amd-pstate-epp powersave - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced- Ryzen 7 7840HS: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104Java Details- OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)Python Details- Python 3.11.6Security Details- Core Ultra 7 155H: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen 7 7840U: 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: Vulnerable: Safe RET no microcode + 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 - Ryzen 7 7840HS: 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

Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HSResult OverviewPhoronix Test Suite100%152%203%255%306%Whisper.cppLeelaChessZeroTensorFlow LiteOpenVINONCNNPyTorchNeural Magic DeepSparseOSPRay StudioOpenCVTensorFlowOpenRadiossOpenSSLPrimesievePyHPC BenchmarksIntel Open Image DenoiseFFmpegLZ4 CompressionGNU Octave BenchmarkIndigoBenchAircrack-ngKvazaarHelsingJohn The RipperPyPerformanceasmFishsimdjsonStockfishAppleseeduvg266OpenVKLRocksDBZstd CompressionBlenderGROMACSVVenCSQLite SpeedtestRawTherapeeNAS Parallel BenchmarksChaos Group V-RAYlibjpeg-turbo tjbenchLuaRadioSVT-AV1OSPRayGIMPTimed FFmpeg CompilationLuxCoreRenderTimed Linux Kernel CompilationEmbreeUnpacking The Linux KernelNumpy BenchmarkInkscapePHPBenchTimed GDB GNU Debugger CompilationGitFLAC Audio EncodingR BenchmarkLAME MP3 EncodingLiquid-DSPWebP2 Image Encode7-Zip CompressionSeleniumJava SciMarkGEGLTimed Godot Game Engine CompilationXmrigOpenSCADSVT-VP9Timed Wasmer CompilationTimed PHP CompilationGraphicsMagickGNU RadioPyBenchCryptsetupUnpacking FirefoxeSpeak-NG Speech EngineNode.js V8 Web Tooling BenchmarkASTC EncoderRNNoiseDarktablex265Numenta Anomaly BenchmarkOCRMyPDFQuantLibWireGuard + Linux Networking Stack Stress TestC-RayScyllaDBZ3 Theorem ProverPerl Benchmarks

AMD Ryzen 7 7840HS Linux Benchmarksxmrig: GhostRider - 1Mwebp2: Quality 100, Lossless Compressionblender: Barbershop - CPU-Onlybuild-linux-kernel: allmodconfiglczero: BLASlczero: Eigenselenium: Jetstream 2 - Google Chromeospray-studio: 3 - 4K - 32 - Path Tracer - CPUwhisper-cpp: ggml-small.en - 2016 State of the Unionopenvkl: vklBenchmarkCPU ISPCpytorch: CPU - 32 - Efficientnet_v2_lpytorch: CPU - 16 - Efficientnet_v2_lgnuradio: Hilbert Transformgnuradio: FM Deemphasis Filtergnuradio: IIR Filtergnuradio: FIR Filtergnuradio: Signal Source (Cosine)gnuradio: Five Back to Back FIR Filtershelsing: 14 digitblender: Pabellon Barcelona - CPU-Onlyncnn: CPU - FastestDetncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetospray-studio: 3 - 4K - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 32 - Path Tracer - CPUbuild-godot: Time To Compilewebp2: Quality 95, Compression Effort 7pytorch: CPU - 32 - ResNet-152blender: Classroom - CPU-Onlyopenssl: ChaCha20-Poly1305openradioss: Bird Strike on Windshieldscylladb: Writesopenssl: ChaCha20vvenc: Bosphorus 4K - Fastscikit-learn: Hist Gradient Boostingasmfish: 1024 Hash Memory, 26 Depthscikit-learn: TSNE MNIST Datasetpytorch: CPU - 16 - ResNet-152scikit-learn: Hist Gradient Boosting Adultappleseed: Emilyxmrig: Monero - 1Mxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: KawPow - 1Mospray: particle_volume/ao/real_timeopencv: Corewhisper-cpp: ggml-base.en - 2016 State of the Unionluxcorerender: Danish Mood - CPUnumenta-nab: Earthgecko Skylineopenradioss: Rubber O-Ring Seal Installationluaradio: Complex Phaseluaradio: Hilbert Transformluaradio: FM Deemphasis Filterluaradio: Five Back to Back FIR Filtersscikit-learn: Isolation Forestnumenta-nab: KNN CADospray-studio: 1 - 4K - 16 - Path Tracer - CPUstockfish: Total Timeopenradioss: Bumper Beamblender: Fishy Cat - CPU-Onlyospray: particle_volume/scivis/real_timeospray-studio: 3 - 1080p - 16 - Path Tracer - CPUxmrig: Wownero - 1Mffmpeg: libx265 - Video On Demandffmpeg: libx265 - Platformwebp2: Quality 75, Compression Effort 7tensorflow: CPU - 32 - ResNet-50embree: Pathtracer ISPC - Crownospray-studio: 3 - 1080p - 1 - Path Tracer - CPUgromacs: MPI CPU - water_GMX50_bareopenssl: SHA256openssl: AES-256-GCMopenssl: AES-128-GCMopenssl: SHA512wireguard: ffmpeg: libx265 - Uploadsimdjson: Kostyaospray: particle_volume/pathtracer/real_timepytorch: CPU - 1 - ResNet-152simdjson: LargeRandospray: gravity_spheres_volume/dim_512/pathtracer/real_timecompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedblender: BMW27 - CPU-Onlyluxcorerender: DLSC - CPUluxcorerender: LuxCore Benchmark - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUbuild-ffmpeg: Time To Compilecompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedembree: Pathtracer ISPC - Asian Dragonavifenc: 0ospray: gravity_spheres_volume/dim_512/ao/real_timeindigobench: CPU - Bedroomtensorflow-lite: Inception ResNet V2indigobench: CPU - Supercarospray: gravity_spheres_volume/dim_512/scivis/real_timeopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUappleseed: Disney Materialappleseed: Material Testeropenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUospray-studio: 3 - 1080p - 32 - Path Tracer - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUrocksdb: Update Randbuild-linux-kernel: defconfignpb: BT.Cluxcorerender: Orange Juice - CPUtensorflow-lite: Inception V4openradioss: Cell Phone Drop Testtensorflow-lite: Mobilenet Floatpytorch: CPU - 1 - Efficientnet_v2_lospray-studio: 1 - 1080p - 32 - Path Tracer - CPUrocksdb: Read While Writingselenium: Jetstream 2 - Firefoxrocksdb: Rand Readnumpy: stargate: 192000 - 1024openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenssl: RSA4096openssl: RSA4096openvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUx265: Bosphorus 4Koidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlyastcenc: Exhaustivetensorflow: CPU - 16 - ResNet-50uvg266: Bosphorus 4K - Very Fasttensorflow-lite: SqueezeNetscikit-learn: SGD Regressionnumenta-nab: Bayesian Changepointuvg266: Bosphorus 4K - Super Fastopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUospray-studio: 3 - 4K - 1 - Path Tracer - CPUcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedv-ray: CPUcompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedc-ray: Total Time - 4K, 16 Rays Per Pixelsvt-av1: Preset 4 - Bosphorus 4Kpytorch: CPU - 32 - ResNet-50numenta-nab: Contextual Anomaly Detector OSEospray-studio: 1 - 1080p - 1 - Path Tracer - CPUpytorch: CPU - 16 - ResNet-50kvazaar: Bosphorus 4K - Very Fastpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingvvenc: Bosphorus 4K - Fasterpyperformance: python_startupembree: Pathtracer ISPC - Asian Dragon Objtensorflow-lite: Mobilenet Quantopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUuvg266: Bosphorus 4K - Ultra Fastselenium: ARES-6 - Firefoxstargate: 96000 - 1024john-the-ripper: bcryptjohn-the-ripper: Blowfishbuild-gdb: Time To Compilecompress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedcompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamsimdjson: DistinctUserIDavifenc: 2graphics-magick: Sharpensimdjson: TopTweetsimdjson: PartialTweetsliquid-dsp: 16 - 256 - 32z3: 2.smt2build-php: Time To Compilegegl: Cartoonospray-studio: 1 - 1080p - 16 - Path Tracer - CPUperl-benchmark: Pod2htmlcompress-zstd: 12 - Decompression Speedcompress-zstd: 12 - Compression Speedkvazaar: Bosphorus 4K - Super Fastaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingospray-studio: 1 - 4K - 1 - Path Tracer - CPUrawtherapee: Total Benchmark Timeffmpeg: libx265 - Livegraphics-magick: Enhancedrocksdb: Read Rand Write Randgraphics-magick: Noise-Gaussiangraphics-magick: Swirlgraphics-magick: Resizinggraphics-magick: Rotategraphics-magick: HWB Color Spaceselenium: Speedometer - Firefoxselenium: Kraken - Firefoxvvenc: Bosphorus 1080p - Fastvvenc: Bosphorus 1080p - Fasteraskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddingnode-web-tooling: primesieve: 1e12svt-av1: Preset 8 - Bosphorus 4Kquantlib: Multi-Threadedopenscad: Pistolbuild-wasmer: Time To Compilescikit-learn: MNIST Datasetstargate: 480000 - 1024perl-benchmark: Interpreterluxcorerender: Rainbow Colors and Prism - CPUstargate: 44100 - 1024kvazaar: Bosphorus 4K - Ultra Fastsqlite-speedtest: Timed Time - Size 1,000compress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedliquid-dsp: 4 - 256 - 512deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamselenium: Octane - Firefoxdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamgegl: Wavelet Blurscikit-learn: 20 Newsgroups / Logistic Regressionastcenc: Thoroughpyhpc: CPU - Numpy - 4194304 - Equation of Stateselenium: Octane - Google Chromecryptsetup: Twofish-XTS 512b Decryptioncryptsetup: Twofish-XTS 512b Encryptioncryptsetup: Serpent-XTS 512b Decryptioncryptsetup: Serpent-XTS 512b Encryptioncryptsetup: AES-XTS 512b Decryptioncryptsetup: AES-XTS 512b Encryptioncryptsetup: Twofish-XTS 256b Decryptioncryptsetup: Twofish-XTS 256b Encryptioncryptsetup: Serpent-XTS 256b Decryptioncryptsetup: Serpent-XTS 256b Encryptioncryptsetup: AES-XTS 256b Decryptioncryptsetup: AES-XTS 256b Encryptioncryptsetup: PBKDF2-whirlpoolcryptsetup: PBKDF2-sha512deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamnpb: SP.Bgegl: Color Enhancegit: Time To Complete Common Git Commandsdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamselenium: Speedometer - Google Chromedeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamaskap: Hogbom Clean OpenMPsvt-vp9: Visual Quality Optimized - Bosphorus 4Kgegl: Rotate 90 Degreesliquid-dsp: 8 - 256 - 32pyperformance: raytraceinkscape: SVG Files To PNGnumenta-nab: Relative Entropyz3: 1.smt2selenium: PSPDFKit WASM - Firefoxselenium: ARES-6 - Google Chromesvt-av1: Preset 13 - Bosphorus 4Kpyperformance: crypto_pyaesselenium: PSPDFKit WASM - Google Chromepytorch: CPU - 1 - ResNet-50svt-vp9: PSNR/SSIM Optimized - Bosphorus 4Kocrmypdf: Processing 60 Page PDF Documentcompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedaircrack-ng: liquid-dsp: 16 - 256 - 512liquid-dsp: 8 - 256 - 512liquid-dsp: 2 - 256 - 512liquid-dsp: 2 - 256 - 32liquid-dsp: 1 - 256 - 32liquid-dsp: 4 - 256 - 32liquid-dsp: 1 - 256 - 512svt-vp9: VMAF Optimized - Bosphorus 4Kselenium: WASM imageConvolute - Firefoxespeak: Text-To-Speech Synthesispyperformance: regex_compilex265: Bosphorus 1080pphpbench: PHP Benchmark Suitegegl: Antialiasastcenc: Fastsvt-av1: Preset 4 - Bosphorus 1080pjava-scimark2: Compositeuvg266: Bosphorus 1080p - Very Fastopenscad: Leonardo Phone Case Slimtjbench: Decompression Throughputnpb: EP.Copenscad: Mini-ITX Caseuvg266: Bosphorus 1080p - Super Fastsvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080pkvazaar: Bosphorus 1080p - Very Fastencode-flac: WAV To FLACgegl: Reflectpyperformance: json_loadsgegl: Tile Glassrbenchmark: uvg266: Bosphorus 1080p - Ultra Fastquantlib: Single-Threadedgimp: resizepybench: Total For Average Test Timesrnnoise: webp2: Quality 100, Compression Effort 5kvazaar: Bosphorus 1080p - Super Fastselenium: WASM collisionDetection - Firefoxunpack-firefox: firefox-84.0.source.tar.xzgimp: unsharp-maskhelsing: 12 digitavifenc: 6, Losslessselenium: Kraken - Google Chromegimp: auto-levelsselenium: WASM collisionDetection - Google Chromeastcenc: Mediumgimp: rotatenumenta-nab: Windowed Gaussiankvazaar: Bosphorus 1080p - Ultra Fastavifenc: 6selenium: WASM imageConvolute - Google Chromeoctave-benchmark: darktable: Boat - CPU-onlygegl: Cropgegl: Scaleencode-mp3: WAV To MP3darktable: Masskrug - CPU-onlyavifenc: 10, Losslessunpack-linux: linux-5.19.tar.xzopenscad: Projector Mount Swiveldarktable: Server Room - CPU-onlywebp2: Defaultopenscad: Retro Carsvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pdarktable: Server Rack - CPU-onlyjava-scimark2: Jacobi Successive Over-Relaxationjava-scimark2: Dense LU Matrix Factorizationjava-scimark2: Sparse Matrix Multiplyjava-scimark2: Fast Fourier Transformjava-scimark2: Monte CarloCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS674.20.011840.781638.8064539280.9276561261256.458711943.773.92923.31288.0518.71055.34261.61379.1719.827572.735.8118.4012.7328.6528.058.1610.6953.5215.871.909.677.085.666.836.5519.54326459559566455.1660.066.08438.9117574983886452.8568321254963091643.391208.95425109174515.6046.20206.641483.9351134197.44160.84181.54307.43.73350146696379.919640.9895.302331.701054.9184.7553.6580.0244.332169.88227822520429072292.58231.903.76482810725271.535.5935.780.1314.979.071650950.8891341159549751668189820567469096034231603820178.17618.244.16108.3709.521.562.340881562.86.60160.081.781.181105.086.3065.4881861.9467.211.6062155.3321.662511.2881255523.4511.60249358.2919.52231.820691256.337108154.63109.7129.74234.9916533925.89648.24304482127.61327810.562.8573566.5158.813694.576.651405571604229180.14359535959593.501.5161411.2612364.87138795.82138.858.18120.1614.400.250.612514.3413.916109.59108.31629.20114.777.59916.95194031870.6445.389739662.667.5260.1232.87715.8433.471428016.0216.832.0596.86313.310.27165506.5624.44285.5618.3318.602.291449146671468076.7361624.311.85143881100968.91587.09296.4170.9391446.415.7249534642977.00969.95067.128680040.079574291931.8164.320.732425.202758.571646567.67093.8822311475242294068081032809254617.011.14423.5351494.151246.9816.7426.70821.51429903.155.42655.10755.8103.1633160.001752597.303.31911628.5143.3299682.066.98557086671194.74945.769234.1161204.79441219.60015.590671.886997.195349741990.19986.952943.92952.6637.30201.56784689529.3531.3812.6763.74867.64982.8533.2528.0814.7780.75297.75462.19393352186873127.000955.01212780.7838.87441.08092.693075.3691188.611436.9612185.770237.562792.296475.710733111.9927582.4983393.85344.4343.27032776000018328.92613.78522.75325579.5192.87047.2272327.7059.0410.85310102.09126.5429616.4921105333338166133330305667111016667565303332012066671608466759.4422.521.37387.155.15125827326.566155.755310.8613708.7963.5817.338246.9345061021.4226.02069.7485.58575.69673.9514.67821.88812.021.7750.147485.384224.519.01855214.9323.9593.63275.414.21816.0676.0179.669458.713.998217.1256.786613.1817.132136.566.35820.348.5226.1275.9606.4965.7663.5385.1485.2064.2672.7698.222.436361.549458.3720.4092555.5910250.903696.16710.181331.12792.50.011363.861435.5229469308.820454383376.501792478.498.50633.51054.4478.61342.84593.51418.7541.428467.192.926.057.8717.2113.205.735.8641.128.270.794.002.562.292.682.9910.54228806381796421.5530.0612.54363.5436409327160318.3065439515742803774.12171.12232605313219.82312.5649.653364.2379523488.63507.23519.13501.63.0419599414134.791761.3089.049201.541084.3129.1443.51645.2223.474234.00819302226151800181.10186.073.03500606775210.950.2950.340.1322.1911.212735651.0061356169334382977408523961362973134410692773183.65125.045.07120.10120.141.573.369881397.56.32145.911.891.50405.339.8655.7871896.5217.613.8005142.1462.812351.88230731.64.1622.69361113.0235.35210.079705196.0183538.05208.888.30480.011174118.09976.27523026112.58020064.323.1032952.4110.211690.5411.97989851774161200.97554818670657.861.5067660.3818984.55154053.05348.923.29171.2313.370.340.669321.8617.802363.2196.58425.36618.864.741668.12141151872.8235.81079316186.670.2063.1183.66229.2235.228299029.0321.911.4528.2076.8511.82473381.297.57525.9622.7216.262.282466186311864966.2291315.011.56882877484323.94129.24268.3866.5561058.327.0456388000061.17265.02467.437514740.075942561831.797.327.441269.301886.451187156.655134.442021562778266457853561892307511.813.63928.9232806.452753.2917.6617.85129.33431965.354.29652.31855.6283.0903160.001827589.223.12355236.9453.75216182.968.0267625667410.98767.283710.1981293.5236411.60007.265122.4109133.682750202230.845712.990143.84134.8437.12840.98987357553.3548.7861.3869.43369.93374.0553.3546.1859.2863.93659.93667.6895206261169746.304164.74777551.2039.45137.80831.995393.679568.695143.630967.460444.435032.065893.46493544.0891730.0072239.65344.3134.33833997000017524.58611.67726.90023817.1487.91645.5248048.7253.3511.45016757.214693.9239922.8971600333331207933333382200092045667462736671811533331727300050.7120.722.42671.066.90107501427.289161.021513.6964844.3283.4416.647277.1053891286.4425.30490.1191.52395.34197.5513.42523.32811.821.8400.1368108.963967.413.01059015.1393.78127.06286.314.07114.4895.15210.296397.112.973252.1057.261412.4056.954174.716.72619.106.5425.6165.5224.6735.3813.5634.9714.6504.2382.7618.422.424415.639503.2070.3492225.4215816.043760.21340.382079.56845.60.021329.261348.37113799321.136445864383.327032479.069.07726.11122.8509.71447.45029.11494.2505.308453.692.655.306.2814.3410.785.155.1033.836.790.743.402.252.012.292.528.45224786374875411.5320.0613.34349.5937872774803295.5366804535689502734.2533157499013.33359.3078643646.93656.83642.13650.03.1451557472135.053651.2791.760187.691187.2139.1473.41720.7281.58718882126226431176.07180.693.13806598965685.550.7950.830.1423.8611.477434931.12114184496290864525903531000226607534598245397174.37625.065.43114.39621.141.673.444121340.05.79143.011.821.47389.6610.2554.3501881.6287.713.6823135.8222.810131.92829571.94.2812.7187097.8240.85201.996529189.32627436.35218.397.80511.031155997.791014.28529398109.18820587.692.8931429.1102.961626.0312.57970191817584209.16756251800704.561.5831330.3719921.64159766.55497.920.87191.1913.140.370.686024.0417.862174.4625.30318.894.571731.53138481810.2291.21094715324.074.9561.0203.76831.7833.641292031.7322.151.4258.7536.5111.65533295.096.88579.1322.6216.242.329042190821908065.9201269.211.26819665422307.21029.76149.0063.7541069.007.6357751666761.44464.16362.982503760.070206601893.0106.527.761440.051599.081157754.599133.822081602350271456827595888281500.413.88929.1052705.692500.0518.0117.55530.47832798.550.05950.4873.0955090.001836888.913.24475937.1251.51915447.573.4469380125388.08677.71279.9578300.4901387.43727.718522.1318135.355853625226.942613.211240.9626.49351.00893202601.8590.1929.0938.13659.73660.1601.8587.6929.0933.63977.33971.3956731280370944.918566.72819266.2736.85435.32330.705397.602664.662946.347263.443547.247631.165696.18713353.9812749.1594287.35947.1632.78634807666716324.78613.04129.12524467.13105.86942.4245252.3458.5211.34215866.614491.1236348.2401645300001235166673700333398572333494196671894400001823400054.5219.520.81165.965.43117220225.859145.300513.5505131.6778.7515.564299.7863661253.9023.23184.69105.92992.03892.1412.66822.03110.920.7510.1291101.464282.612.50154614.1543.58117.83268.013.17414.1545.02310.252400.212.587237.2251.704011.8997.440160.396.97717.836.1895.7585.5284.7665.0683.6334.9384.3763.9332.6347.722.285393.685485.2460.3562351.7416920.603793.66365.252227.11OpenBenchmarking.org

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 4.56, N = 3SE +/- 7.40, N = 7SE +/- 8.95, N = 9674.2792.5845.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1122334455Min: 1.54 / Avg: 32.94 / Max: 52.82Min: 2.66 / Avg: 32.17 / Max: 38.71Min: 2.05 / Avg: 34.87 / Max: 35.5
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1MRyzen 7 7840HS61218243024.25

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless CompressionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.00450.0090.01350.0180.0225SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.010.010.021. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.46 / Avg: 32.63 / Max: 64.29Min: 3.04 / Avg: 32.46 / Max: 51.12Min: 2.11 / Avg: 34.43 / Max: 35.68
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless CompressionRyzen 7 7840HS0.00020.00040.00060.00080.0010.001

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: Barbershop - Compute: CPU-OnlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS400800120016002000SE +/- 0.62, N = 3SE +/- 2.38, N = 3SE +/- 0.95, N = 31840.781363.861329.26
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.62 / Avg: 32.09 / Max: 64.17Min: 2.28 / Avg: 32.93 / Max: 51.05Min: 2.91 / Avg: 34.83 / Max: 35.45

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: allmodconfigCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS400800120016002000SE +/- 1.05, N = 3SE +/- 10.29, N = 3SE +/- 0.73, N = 31638.811435.521348.37
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.8 / Avg: 32.62 / Max: 64.25Min: 3.27 / Avg: 30.08 / Max: 50.98Min: 2.67 / Avg: 34.52 / Max: 35.82

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.30Backend: BLASCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 0.62, N = 9SE +/- 1.12, N = 9SE +/- 1.17, N = 945941371. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.30CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840HS1326395265Min: 1.41 / Avg: 31.7 / Max: 64.31Min: 2.7 / Avg: 34.2 / Max: 35.49
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.30Backend: BLASRyzen 7 7840HS0.90141.80282.70423.60564.5074.006

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.30Backend: EigenCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.57, N = 9SE +/- 0.58, N = 3SE +/- 0.93, N = 73969991. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.30CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840HS1326395265Min: 1.55 / Avg: 31.67 / Max: 64.27Min: 3.04 / Avg: 34.17 / Max: 35.45
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterLeelaChessZero 0.30Backend: EigenRyzen 7 7840HS0.65211.30421.95632.60843.26052.898

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 ChromeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS70140210280350SE +/- 3.29, N = 3SE +/- 0.94, N = 3SE +/- 3.28, N = 6280.93308.82321.141. Core Ultra 7 155H: chrome 120.0.6099.1092. Ryzen 7 7840U: chrome 120.0.6099.1093. Ryzen 7 7840HS: chrome 120.0.6099.216
OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1122334455Min: 1.08 / Avg: 5.73 / Max: 56.15Min: 1.82 / Avg: 4.47 / Max: 45.76Min: 2.12 / Avg: 19.42 / Max: 35.03
OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeRyzen 7 7840HS4812162016.54

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS140K280K420K560K700KSE +/- 6506.82, N = 5SE +/- 193.91, N = 3SE +/- 458.41, N = 3656126454383445864
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.44 / Avg: 32.41 / Max: 64.31Min: 3.56 / Avg: 32.4 / Max: 51.04Min: 3.08 / Avg: 34.26 / Max: 35.32

Whisper.cpp

Whisper.cpp is a port of OpenAI's Whisper model in C/C++. Whisper.cpp is developed by Georgi Gerganov for transcribing WAV audio files to text / speech recognition. Whisper.cpp supports ARM NEON, x86 AVX, and other advanced CPU features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-small.en - Input: 2016 State of the UnionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 2.40, N = 3SE +/- 2.21, N = 3SE +/- 0.44, N = 31256.46376.50383.331. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterWhisper.cpp 1.4CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 4.79 / Avg: 33.98 / Max: 64.05Min: 2.01 / Avg: 32.42 / Max: 50.92Min: 3.09 / Avg: 34.64 / Max: 35.27

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS50100150200250SE +/- 2.00, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3194247247MIN: 10 / MAX: 2735MIN: 18 / MAX: 3308MIN: 18 / MAX: 3490
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.46 / Avg: 31.96 / Max: 64.28Min: 3.73 / Avg: 32.21 / Max: 51.05Min: 2.53 / Avg: 33 / Max: 35.44
OpenBenchmarking.orgItems / Sec Per Watt, More Is BetterOpenVKL 2.0.0Benchmark: vklBenchmarkCPU ISPCRyzen 7 7840HS2468107.485

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.08, N = 9SE +/- 0.07, N = 3SE +/- 0.02, N = 33.778.499.06MIN: 2.14 / MAX: 5.2MIN: 6.91 / MAX: 8.8MIN: 7.18 / MAX: 9.2
OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860Min: 4.68 / Avg: 33.29 / Max: 61.31Min: 2.25 / Avg: 32.49 / Max: 45.68Min: 3.31 / Avg: 34.07 / Max: 35.07
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lRyzen 7 7840HS0.05990.11980.17970.23960.29950.266

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.06, N = 9SE +/- 0.05, N = 3SE +/- 0.03, N = 33.928.509.07MIN: 2.17 / MAX: 5.21MIN: 6.64 / MAX: 8.87MIN: 7.24 / MAX: 9.26
OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860Min: 2.69 / Avg: 33.66 / Max: 59.44Min: 3.08 / Avg: 32.46 / Max: 45.86Min: 3.12 / Avg: 34.14 / Max: 35.08
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lRyzen 7 7840HS0.05990.11980.17970.23960.29950.266

GNU Radio

GNU Radio is a free software development toolkit providing signal processing blocks to implement software-defined radios (SDR) and signal processing systems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Hilbert TransformCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 6.03, N = 9SE +/- 9.92, N = 3SE +/- 4.06, N = 3923.3633.5726.11. 3.10.7.0
OpenBenchmarking.orgWatts, Fewer Is BetterGNU RadioCPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860Min: 1.42 / Avg: 25.71 / Max: 62.44Min: 6.81 / Avg: 21.11 / Max: 48.93Min: 2.75 / Avg: 25.49 / Max: 35.32
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterGNU RadioTest: Hilbert TransformRyzen 7 7840HS71421283528.48

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FM Deemphasis FilterCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 8.02, N = 9SE +/- 4.19, N = 3SE +/- 15.31, N = 31288.01054.41122.81. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: IIR FilterCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS110220330440550SE +/- 2.25, N = 9SE +/- 2.30, N = 3SE +/- 6.07, N = 3518.7478.6509.71. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FIR FilterCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 7.37, N = 9SE +/- 3.00, N = 3SE +/- 9.23, N = 31055.31342.81447.41. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Signal Source (Cosine)Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS11002200330044005500SE +/- 42.75, N = 9SE +/- 73.88, N = 3SE +/- 36.42, N = 34261.64593.55029.11. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Five Back to Back FIR FiltersCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 22.01, N = 9SE +/- 12.25, N = 3SE +/- 19.33, N = 31379.11418.71494.21. 3.10.7.0

Helsing

Helsing is an open-source POSIX vampire number generator. This test profile measures the time it takes to generate vampire numbers between varying numbers of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 14 digitCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS160320480640800SE +/- 5.85, N = 3SE +/- 0.41, N = 3SE +/- 0.59, N = 3719.83541.43505.311. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 4.39 / Avg: 34.64 / Max: 64.21Min: 2.3 / Avg: 32.89 / Max: 50.92Min: 2.76 / Avg: 34.75 / Max: 35.46

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: Pabellon Barcelona - Compute: CPU-OnlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS120240360480600SE +/- 1.29, N = 3SE +/- 0.26, N = 3SE +/- 0.62, N = 3572.73467.19453.69
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.68 / Avg: 32.59 / Max: 64.14Min: 3.58 / Avg: 32.85 / Max: 51.04Min: 2.06 / Avg: 34.7 / Max: 35.44

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1.30732.61463.92195.22926.5365SE +/- 0.35, N = 9SE +/- 0.03, N = 14SE +/- 0.06, N = 35.812.922.65MIN: 3.49 / MAX: 192.47MIN: 2.53 / MAX: 14.81MIN: 2.54 / MAX: 4.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20230517CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 4.36 / Avg: 29.12 / Max: 65.29Min: 4.95 / Avg: 31.66 / Max: 39.46Min: 3.02 / Avg: 31.65 / Max: 35.15

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.88, N = 9SE +/- 0.03, N = 15SE +/- 0.03, N = 318.406.055.30MIN: 8.73 / MAX: 1249.99MIN: 5.45 / MAX: 18.14MIN: 5.16 / MAX: 9.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.28, N = 9SE +/- 0.13, N = 15SE +/- 0.02, N = 312.737.876.28MIN: 7.98 / MAX: 760.97MIN: 6.63 / MAX: 40.31MIN: 6.13 / MAX: 8.561. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 1.63, N = 9SE +/- 0.18, N = 15SE +/- 0.07, N = 328.6517.2114.34MIN: 20.27 / MAX: 806.08MIN: 15.85 / MAX: 32.09MIN: 14.09 / MAX: 26.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 1.79, N = 9SE +/- 0.19, N = 15SE +/- 0.13, N = 328.0513.2010.78MIN: 18.29 / MAX: 1282.02MIN: 10.88 / MAX: 39.04MIN: 10.5 / MAX: 21.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.67, N = 9SE +/- 0.07, N = 15SE +/- 0.10, N = 38.165.735.15MIN: 4.89 / MAX: 412.07MIN: 4.95 / MAX: 17.88MIN: 4.94 / MAX: 16.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 1.01, N = 9SE +/- 0.10, N = 15SE +/- 0.07, N = 310.695.865.10MIN: 6.47 / MAX: 698.18MIN: 5.14 / MAX: 18.93MIN: 4.92 / MAX: 6.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860SE +/- 2.73, N = 9SE +/- 0.18, N = 15SE +/- 0.28, N = 353.5241.1233.83MIN: 32.69 / MAX: 684.01MIN: 38.67 / MAX: 68.32MIN: 33.1 / MAX: 46.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.59, N = 9SE +/- 0.14, N = 15SE +/- 0.05, N = 315.878.276.79MIN: 9.13 / MAX: 942.71MIN: 7.08 / MAX: 53.05MIN: 6.62 / MAX: 9.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.42750.8551.28251.712.1375SE +/- 0.12, N = 9SE +/- 0.01, N = 15SE +/- 0.01, N = 31.900.790.74MIN: 1.4 / MAX: 4.88MIN: 0.74 / MAX: 2.88MIN: 0.71 / MAX: 2.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.44, N = 9SE +/- 0.02, N = 15SE +/- 0.01, N = 39.674.003.40MIN: 6.14 / MAX: 461.84MIN: 3.55 / MAX: 15.96MIN: 3.28 / MAX: 5.951. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.41, N = 9SE +/- 0.02, N = 15SE +/- 0.00, N = 37.082.562.25MIN: 3.88 / MAX: 392.57MIN: 2.27 / MAX: 15.42MIN: 2.17 / MAX: 4.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1.27352.5473.82055.0946.3675SE +/- 0.27, N = 9SE +/- 0.01, N = 15SE +/- 0.01, N = 35.662.292.01MIN: 3.35 / MAX: 356.06MIN: 2.07 / MAX: 27.16MIN: 1.95 / MAX: 4.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.39, N = 9SE +/- 0.01, N = 15SE +/- 0.01, N = 36.832.682.29MIN: 3.77 / MAX: 568.9MIN: 2.38 / MAX: 13.63MIN: 2.22 / MAX: 4.721. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.44, N = 9SE +/- 0.01, N = 15SE +/- 0.01, N = 36.552.992.52MIN: 4.01 / MAX: 476.69MIN: 2.59 / MAX: 14.02MIN: 2.42 / MAX: 5.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.82, N = 9SE +/- 0.08, N = 15SE +/- 0.01, N = 319.5410.548.45MIN: 12.87 / MAX: 771.57MIN: 9.52 / MAX: 23.75MIN: 8.35 / MAX: 11.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS70K140K210K280K350KSE +/- 2820.51, N = 8SE +/- 252.76, N = 3SE +/- 159.34, N = 3326459228806224786
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.46 / Avg: 32.29 / Max: 64.28Min: 1.57 / Avg: 31.86 / Max: 51.04Min: 2.57 / Avg: 33.62 / Max: 35.32

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS120K240K360K480K600KSE +/- 1095.22, N = 3SE +/- 105.51, N = 3SE +/- 461.15, N = 3559566381796374875
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.66 / Avg: 32.44 / Max: 65.17Min: 2.88 / Avg: 32.29 / Max: 51.04Min: 2.76 / Avg: 34.18 / Max: 35.32

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 CompileCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS100200300400500SE +/- 2.91, N = 3SE +/- 0.52, N = 3SE +/- 0.03, N = 3455.17421.55411.53
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.79 / Avg: 31.89 / Max: 64.07Min: 3.4 / Avg: 31.67 / Max: 51.1Min: 3.21 / Avg: 33.36 / Max: 35.27

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.01350.0270.04050.0540.0675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.060.060.061. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.85 / Avg: 33.47 / Max: 64.06Min: 3.52 / Avg: 32.67 / Max: 51.1Min: 2.44 / Avg: 34.37 / Max: 35.49
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7Ryzen 7 7840HS0.00050.0010.00150.0020.00250.002

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.08, N = 9SE +/- 0.09, N = 3SE +/- 0.01, N = 36.0812.5413.34MIN: 2.91 / MAX: 7.76MIN: 9.91 / MAX: 13.32MIN: 12.26 / MAX: 13.46
OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860Min: 4.4 / Avg: 34.03 / Max: 63.16Min: 3.18 / Avg: 32.26 / Max: 47.72Min: 3.4 / Avg: 33.66 / Max: 35.25
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152Ryzen 7 7840HS0.08910.17820.26730.35640.44550.396

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: Classroom - Compute: CPU-OnlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS100200300400500SE +/- 1.66, N = 3SE +/- 0.50, N = 3SE +/- 0.50, N = 3438.91363.54349.59
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.45 / Avg: 32.55 / Max: 64.05Min: 2.08 / Avg: 32.8 / Max: 51.04Min: 3.24 / Avg: 34.58 / Max: 35.32

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS8000M16000M24000M32000M40000MSE +/- 183459477.47, N = 12SE +/- 15102420.85, N = 3SE +/- 34523732.96, N = 31757498388636409327160378727748031. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 4.07 / Avg: 33.44 / Max: 64.03Min: 2.88 / Avg: 32.72 / Max: 50.98Min: 3.26 / Avg: 34.29 / Max: 35.33
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Ryzen 7 7840HS200M400M600M800M1000M1104539391.12

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on WindshieldCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS100200300400500SE +/- 4.62, N = 3SE +/- 0.72, N = 3SE +/- 0.32, N = 3452.85318.30295.53
OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.59 / Avg: 32.79 / Max: 64.06Min: 3.18 / Avg: 32.68 / Max: 50.98Min: 2.27 / Avg: 34.39 / Max: 35.21

ScyllaDB

This is a benchmark of ScyllaDB and is making use of Apache Cassandra's cassandra-stress for conducting the benchmark. ScyllaDB is an open-source distributed NoSQL data store that is compatible with Apache Cassandra while focusing on higher throughput and lower latency. ScyllaDB uses a sharded design on each node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: WritesCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS15K30K45K60K75KSE +/- 2393.89, N = 12SE +/- 308.66, N = 3SE +/- 110.09, N = 3683216543966804
OpenBenchmarking.orgWatts, Fewer Is BetterScyllaDB 5.2.9CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 4.02 / Avg: 29.9 / Max: 64.11Min: 3.14 / Avg: 26.61 / Max: 51.03Min: 3.09 / Avg: 27.39 / Max: 35.11
OpenBenchmarking.orgOp/s Per Watt, More Is BetterScyllaDB 5.2.9Test: WritesRyzen 7 7840HS50010001500200025002438.60

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS11000M22000M33000M44000M55000MSE +/- 189080382.65, N = 11SE +/- 10619881.22, N = 3SE +/- 21841361.90, N = 32549630916451574280377535689502731. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 4.12 / Avg: 33.65 / Max: 64.04Min: 3.11 / Avg: 32.67 / Max: 50.98Min: 3.31 / Avg: 34.28 / Max: 35.19
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Ryzen 7 7840HS300M600M900M1200M1500M1562865738.68

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: FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.95691.91382.87073.82764.7845SE +/- 0.034, N = 12SE +/- 0.006, N = 3SE +/- 0.018, N = 33.3914.1214.2531. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.35 / Avg: 32.9 / Max: 64.48Min: 3.65 / Avg: 32.15 / Max: 50.91Min: 2.94 / Avg: 32.61 / Max: 35.27
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastRyzen 7 7840HS0.02930.05860.08790.11720.14650.13

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient BoostingCore Ultra 7 155HRyzen 7 7840U50100150200250SE +/- 4.95, N = 12SE +/- 0.43, N = 3208.9571.121. (F9X) gfortran options: -O0
OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1224364860Min: 4.38 / Avg: 33.59 / Max: 63.5Min: 6.81 / Avg: 31.23 / Max: 37.02

Benchmark: Hist Gradient Boosting

Ryzen 7 7840HS: The test quit with a non-zero exit status. E: ImportError: /lib/x86_64-linux-gnu/liblapack.so.3: undefined symbol: gotoblas

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS7M14M21M28M35MSE +/- 306334.24, N = 4SE +/- 1331554.79, N = 12SE +/- 380601.53, N = 3251091743260531331574990
MinAvgMaxCore Ultra 7 155H1.632.464.4Ryzen 7 7840U3.232.551.0Ryzen 7 7840HS2.934.035.2OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthRyzen 7 7840HS200K400K600K800K1000K929652.04

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TSNE MNIST DatasetCore Ultra 7 155HRyzen 7 7840U110220330440550SE +/- 0.25, N = 3SE +/- 0.32, N = 3515.60219.821. (F9X) gfortran options: -O0
OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.4 / Avg: 29.88 / Max: 64.13Min: 6.71 / Avg: 32.67 / Max: 50.9

Benchmark: TSNE MNIST Dataset

Ryzen 7 7840HS: The test quit with a non-zero exit status. E: ImportError: /lib/x86_64-linux-gnu/liblapack.so.3: undefined symbol: gotoblas

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.06, N = 7SE +/- 0.02, N = 3SE +/- 0.03, N = 36.2012.5613.33MIN: 3.26 / MAX: 7.73MIN: 11.12 / MAX: 13.19MIN: 10.6 / MAX: 13.47
OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860Min: 4.72 / Avg: 33.94 / Max: 60.22Min: 3.32 / Avg: 32.27 / Max: 47.6Min: 2.92 / Avg: 33.69 / Max: 35.06
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152Ryzen 7 7840HS0.08910.17820.26730.35640.44550.396

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Hist Gradient Boosting AdultCore Ultra 7 155HRyzen 7 7840U50100150200250SE +/- 6.09, N = 11SE +/- 0.17, N = 3206.6449.651. (F9X) gfortran options: -O0
OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1122334455Min: 3.86 / Avg: 32.65 / Max: 56Min: 6.81 / Avg: 29.95 / Max: 33.59

Benchmark: Hist Gradient Boosting Adult

Ryzen 7 7840HS: The test quit with a non-zero exit status. E: ImportError: /lib/x86_64-linux-gnu/liblapack.so.3: undefined symbol: gotoblas

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: EmilyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS100200300400500483.94364.24359.31
MinAvgMaxCore Ultra 7 155H1.832.164.3Ryzen 7 7840U2.732.851.1Ryzen 7 7840HS2.834.635.4OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor20406080100

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS9001800270036004500SE +/- 7.29, N = 3SE +/- 11.00, N = 3SE +/- 1.54, N = 34197.43488.63646.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.732.364.1Ryzen 7 7840U3.530.245.2Ryzen 7 7840HS2.034.535.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MRyzen 7 7840HS20406080100105.74

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS9001800270036004500SE +/- 11.05, N = 3SE +/- 6.97, N = 3SE +/- 6.19, N = 34160.83507.23656.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.831.564.1Ryzen 7 7840U3.430.442.6Ryzen 7 7840HS2.734.535.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MRyzen 7 7840HS20406080100106.05

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS9001800270036004500SE +/- 8.42, N = 3SE +/- 11.56, N = 3SE +/- 2.92, N = 34181.53519.13642.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.631.764.1Ryzen 7 7840U3.331.446.5Ryzen 7 7840HS2.434.535.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MRyzen 7 7840HS20406080100105.70

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS9001800270036004500SE +/- 51.18, N = 3SE +/- 11.21, N = 3SE +/- 3.12, N = 34307.43501.63650.01. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.634.364.1Ryzen 7 7840U3.531.450.9Ryzen 7 7840HS2.234.535.3OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MRyzen 7 7840HS20406080100105.86

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.841.682.523.364.2SE +/- 0.03548, N = 12SE +/- 0.00268, N = 3SE +/- 0.00226, N = 33.733503.041953.14515
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.52 / Avg: 32.86 / Max: 64.02Min: 2.3 / Avg: 32.52 / Max: 50.9Min: 3.4 / Avg: 33.89 / Max: 35.4
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeRyzen 7 7840HS0.02090.04180.06270.08360.10450.093

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: CoreCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30K60K90K120K150KSE +/- 2488.39, N = 12SE +/- 290.67, N = 3SE +/- 617.17, N = 514669699414574721. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
OpenBenchmarking.orgWatts, Fewer Is BetterOpenCV 4.7CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 4.07 / Avg: 27.17 / Max: 64.07Min: 6.62 / Avg: 19.07 / Max: 49.98Min: 2.66 / Avg: 16.76 / Max: 35.05

Whisper.cpp

Whisper.cpp is a port of OpenAI's Whisper model in C/C++. Whisper.cpp is developed by Georgi Gerganov for transcribing WAV audio files to text / speech recognition. Whisper.cpp supports ARM NEON, x86 AVX, and other advanced CPU features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-base.en - Input: 2016 State of the UnionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS80160240320400SE +/- 4.62, N = 4SE +/- 0.81, N = 3SE +/- 0.85, N = 3379.92134.79135.051. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterWhisper.cpp 1.4CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 4.84 / Avg: 33.96 / Max: 64.03Min: 3.66 / Avg: 32.35 / Max: 50.98Min: 3.16 / Avg: 33.98 / Max: 35.13

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.29250.5850.87751.171.4625SE +/- 0.01, N = 15SE +/- 0.01, N = 6SE +/- 0.01, N = 150.981.301.27MIN: 0.23 / MAX: 1.36MIN: 0.33 / MAX: 1.66MIN: 0.31 / MAX: 1.66
MinAvgMaxCore Ultra 7 155H1.533.163.8Ryzen 7 7840U2.731.951.0Ryzen 7 7840HS2.232.735.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPURyzen 7 7840HS0.00880.01760.02640.03520.0440.039

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 1.07, N = 15SE +/- 1.10, N = 4SE +/- 0.92, N = 595.3089.0591.76
OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 4.37 / Avg: 32.53 / Max: 64.29Min: 6.83 / Avg: 32.06 / Max: 51.04Min: 1.9 / Avg: 30.91 / Max: 35.49

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Rubber O-Ring Seal InstallationCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS70140210280350SE +/- 1.30, N = 3SE +/- 0.21, N = 3SE +/- 0.18, N = 3331.70201.54187.69
MinAvgMaxCore Ultra 7 155H1.632.664.1Ryzen 7 7840U3.232.451.0Ryzen 7 7840HS2.134.135.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor20406080100

LuaRadio

LuaRadio is a lightweight software-defined radio (SDR) framework built atop LuaJIT. LuaRadio provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhaseCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 1.53, N = 3SE +/- 18.90, N = 3SE +/- 27.26, N = 31054.91084.31187.2
MinAvgMaxCore Ultra 7 155H1.521.128.7Ryzen 7 7840U6.722.249.8Ryzen 7 7840HS2.025.535.3OpenBenchmarking.orgWatts, Fewer Is BetterLuaRadio 0.9.1CPU Power Consumption Monitor1428425670
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterLuaRadio 0.9.1Test: Complex PhaseRyzen 7 7840HS112233445546.65

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 0.84, N = 3SE +/- 0.23, N = 3SE +/- 0.06, N = 3184.7129.1139.1

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS120240360480600SE +/- 17.44, N = 3SE +/- 1.01, N = 3SE +/- 0.98, N = 3553.6443.5473.4

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS400800120016002000SE +/- 4.56, N = 3SE +/- 5.35, N = 3SE +/- 0.67, N = 3580.01645.21720.7

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: Isolation ForestCore Ultra 7 155HRyzen 7 7840U50100150200250SE +/- 0.25, N = 3SE +/- 0.47, N = 3244.33223.471. (F9X) gfortran options: -O0
MinAvgMaxCore Ultra 7 155H4.122.729.9Ryzen 7 7840U6.817.621.1OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor918273645

Benchmark: Isolation Forest

Ryzen 7 7840HS: The test quit with a non-zero exit status. E: ImportError: /lib/x86_64-linux-gnu/liblapack.so.3: undefined symbol: gotoblas

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS60120180240300SE +/- 1.27, N = 3SE +/- 2.15, N = 3SE +/- 0.77, N = 3169.88234.01281.59
MinAvgMaxCore Ultra 7 155H4.434.965.5Ryzen 7 7840U6.733.056.6Ryzen 7 7840HS2.633.844.5OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS60K120K180K240K300KSE +/- 992.05, N = 3SE +/- 194.66, N = 3SE +/- 204.96, N = 3278225193022188821
MinAvgMaxCore Ultra 7 155H1.632.664.1Ryzen 7 7840U3.131.651.0Ryzen 7 7840HS3.233.335.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

Stockfish

This is a test of Stockfish, an advanced open-source C++11 chess benchmark that can scale up to 512 CPU threads. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS6M12M18M24M30MSE +/- 215349.47, N = 3SE +/- 317672.24, N = 3SE +/- 458097.23, N = 15204290722615180026226431-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
MinAvgMaxCore Ultra 7 155H1.632.964.1Ryzen 7 7840U3.432.351.0Ryzen 7 7840HS2.833.635.3OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 15CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterStockfish 15Total TimeRyzen 7 7840HS200K400K600K800K1000K780093.75

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper BeamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS60120180240300SE +/- 3.72, N = 3SE +/- 0.63, N = 3SE +/- 1.25, N = 3292.58181.10176.07
MinAvgMaxCore Ultra 7 155H1.533.364.1Ryzen 7 7840U2.532.451.0Ryzen 7 7840HS2.434.035.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor20406080100

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: Fishy Cat - Compute: CPU-OnlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS50100150200250SE +/- 1.37, N = 3SE +/- 0.58, N = 3SE +/- 0.11, N = 3231.90186.07180.69
MinAvgMaxCore Ultra 7 155H1.732.564.1Ryzen 7 7840U2.032.651.1Ryzen 7 7840HS3.134.235.3OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20406080100

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.84711.69422.54133.38844.2355SE +/- 0.04340, N = 4SE +/- 0.00280, N = 3SE +/- 0.00135, N = 33.764823.035003.13806
MinAvgMaxCore Ultra 7 155H1.633.263.9Ryzen 7 7840U2.832.751.0Ryzen 7 7840HS3.133.935.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeRyzen 7 7840HS0.02070.04140.06210.08280.10350.092

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20K40K60K80K100KSE +/- 551.82, N = 15SE +/- 41.73, N = 3SE +/- 356.61, N = 3810726067759896
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.61 / Avg: 32.42 / Max: 64.33Min: 3.27 / Avg: 29.33 / Max: 51.04Min: 2.67 / Avg: 30.36 / Max: 35.7

Xmrig

Xmrig is an open-source cross-platform CPU/GPU miner for RandomX, KawPow, CryptoNight and AstroBWT. This test profile is setup to measure the Xmrig CPU mining performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS12002400360048006000SE +/- 33.68, N = 3SE +/- 20.29, N = 3SE +/- 20.45, N = 35271.55210.95685.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.633.064.1Ryzen 7 7840U3.729.344.5Ryzen 7 7840HS2.634.235.2OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgH/s Per Watt, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MRyzen 7 7840HS4080120160200166.31

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1122334455SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 335.5950.2950.791. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.633.555.5Ryzen 7 7840U3.431.943.8Ryzen 7 7840HS2.131.634.8OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1530456075
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandRyzen 7 7840HS0.3620.7241.0861.4481.811.609

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1122334455SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 335.7850.3450.831. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.633.753.7Ryzen 7 7840U2.432.045.2Ryzen 7 7840HS2.231.635.0OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1530456075
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: PlatformRyzen 7 7840HS0.36160.72321.08481.44641.8081.607

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.03150.0630.09450.1260.1575SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.130.130.141. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxCore Ultra 7 155H1.535.164.3Ryzen 7 7840U2.832.551.0Ryzen 7 7840HS2.334.135.4OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7Ryzen 7 7840HS0.00090.00180.00270.00360.00450.004

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: 32 - Model: ResNet-50Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 314.9722.1923.86
MinAvgMaxCore Ultra 7 155H4.933.458.5Ryzen 7 7840U2.732.348.6Ryzen 7 7840HS3.133.835.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor1632486480
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50Ryzen 7 7840HS0.15890.31780.47670.63560.79450.706

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: CrownCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.0775, N = 15SE +/- 0.0288, N = 3SE +/- 0.0117, N = 39.071611.212711.4774MIN: 7.78 / MAX: 12.6MIN: 11.07 / MAX: 12.86MIN: 11.36 / MAX: 11.75
OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.54 / Avg: 33.21 / Max: 64.28Min: 3.79 / Avg: 32.07 / Max: 50.99Min: 3.03 / Avg: 32.94 / Max: 35.32
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownRyzen 7 7840HS0.07830.15660.23490.31320.39150.348

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS11002200330044005500SE +/- 34.75, N = 13SE +/- 7.21, N = 3SE +/- 5.81, N = 3509535653493
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265Min: 1.47 / Avg: 32.41 / Max: 64.19Min: 3.18 / Avg: 29.83 / Max: 51.04Min: 3.26 / Avg: 31.03 / Max: 35.19

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.25220.50440.75661.00881.261SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 30.8891.0061.1211. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.534.964.9Ryzen 7 7840U1.532.350.9Ryzen 7 7840HS2.134.035.1OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgNs Per Day Per Watt, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareRyzen 7 7840HS0.00740.01480.02220.02960.0370.033

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3000M6000M9000M12000M15000MSE +/- 13390368.16, N = 3SE +/- 19132130.90, N = 3SE +/- 5498856.59, N = 31341159549713561693343141844962901. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H3.735.364.0Ryzen 7 7840U2.832.650.9Ryzen 7 7840HS3.234.335.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA256Ryzen 7 7840HS90M180M270M360M450M413397624.32

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20000M40000M60000M80000M100000MSE +/- 242801059.98, N = 3SE +/- 34473975.03, N = 3SE +/- 243985866.25, N = 35166818982082977408523864525903531. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H4.333.964.0Ryzen 7 7840U3.232.651.0Ryzen 7 7840HS3.134.335.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMRyzen 7 7840HS500M1000M1500M2000M2500M2523490504.75

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20000M40000M60000M80000M100000MSE +/- 806092335.86, N = 3SE +/- 143047725.80, N = 3SE +/- 92535982.80, N = 356746909603961362973131000226607531. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H4.133.964.1Ryzen 7 7840U3.232.751.0Ryzen 7 7840HS3.234.335.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMRyzen 7 7840HS600M1200M1800M2400M3000M2919702173.20

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1000M2000M3000M4000M5000MSE +/- 15610792.14, N = 3SE +/- 1103382.53, N = 3SE +/- 836391.99, N = 34231603820441069277345982453971. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H4.034.464.0Ryzen 7 7840U3.432.750.9Ryzen 7 7840HS3.034.335.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgbyte/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: SHA512Ryzen 7 7840HS30M60M90M120M150M134235388.64

WireGuard + Linux Networking Stack Stress Test

This is a benchmark of the WireGuard secure VPN tunnel and Linux networking stack stress test. The test runs on the local host but does require root permissions to run. The way it works is it creates three namespaces. ns0 has a loopback device. ns1 and ns2 each have wireguard devices. Those two wireguard devices send traffic through the loopback device of ns0. The end result of this is that tests wind up testing encryption and decryption at the same time -- a pretty CPU and scheduler-heavy workflow. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 1.29, N = 3SE +/- 1.66, N = 3SE +/- 1.01, N = 3178.18183.65174.38
MinAvgMaxCore Ultra 7 155H1.735.460.5Ryzen 7 7840U2.831.544.2Ryzen 7 7840HS2.234.135.3OpenBenchmarking.orgWatts, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Power Consumption Monitor20406080100

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS612182430SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 318.2425.0425.061. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.532.561.4Ryzen 7 7840U3.328.849.5Ryzen 7 7840HS2.128.135.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadRyzen 7 7840HS0.20050.4010.60150.8021.00250.891

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1.22182.44363.66544.88726.109SE +/- 0.04, N = 15SE +/- 0.02, N = 3SE +/- 0.00, N = 34.165.075.431. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.422.329.0Ryzen 7 7840U3.118.220.2Ryzen 7 7840HS1.917.519.7OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor918273645
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: KostyaRyzen 7 7840HS0.070.140.210.280.350.311

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 0.60, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3108.37120.10114.40
MinAvgMaxCore Ultra 7 155H1.533.365.0Ryzen 7 7840U2.532.751.1Ryzen 7 7840HS3.133.935.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeRyzen 7 7840HS0.75981.51962.27943.03923.7993.377

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.32, N = 9SE +/- 0.06, N = 3SE +/- 0.04, N = 39.5220.1421.14MIN: 3.59 / MAX: 13.21MIN: 17.16 / MAX: 20.95MIN: 16.09 / MAX: 21.36
MinAvgMaxCore Ultra 7 155H4.532.660.6Ryzen 7 7840U3.231.247.1Ryzen 7 7840HS3.131.835.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152Ryzen 7 7840HS0.14960.29920.44880.59840.7480.665

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.37580.75161.12741.50321.879SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 151.561.571.671. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.623.228.5Ryzen 7 7840U2.817.218.4Ryzen 7 7840HS1.916.620.6OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor918273645
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: LargeRandomRyzen 7 7840HS0.02250.0450.06750.090.11250.1

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.77491.54982.32473.09963.8745SE +/- 0.02264, N = 15SE +/- 0.00992, N = 3SE +/- 0.00804, N = 32.340883.369883.44412
MinAvgMaxCore Ultra 7 155H1.532.464.0Ryzen 7 7840U3.431.750.9Ryzen 7 7840HS3.032.435.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeRyzen 7 7840HS0.02390.04780.07170.09560.11950.106

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 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 10.21, N = 15SE +/- 10.67, N = 3SE +/- 11.20, N = 31562.81397.51340.0-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.427.350.3Ryzen 7 7840U3.118.027.6Ryzen 7 7840HS2.120.333.1OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor1428425670
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedRyzen 7 7840HS153045607566.09

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.06, N = 15SE +/- 0.01, N = 3SE +/- 0.03, N = 36.606.325.79-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz

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-OnlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 1.67, N = 3SE +/- 0.19, N = 3SE +/- 0.09, N = 3160.08145.91143.01
MinAvgMaxCore Ultra 7 155H1.532.664.2Ryzen 7 7840U2.932.551.0Ryzen 7 7840HS2.834.035.5OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20406080100

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.42530.85061.27591.70122.1265SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.02, N = 41.781.891.82MIN: 1.58 / MAX: 2.36MIN: 1.77 / MAX: 2.17MIN: 1.72 / MAX: 1.91
MinAvgMaxCore Ultra 7 155H1.433.464.3Ryzen 7 7840U3.032.051.1Ryzen 7 7840HS2.032.835.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPURyzen 7 7840HS0.01240.02480.03720.04960.0620.055

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.33750.6751.01251.351.6875SE +/- 0.01, N = 15SE +/- 0.01, N = 3SE +/- 0.01, N = 31.181.501.47MIN: 0.28 / MAX: 1.57MIN: 0.42 / MAX: 1.87MIN: 0.4 / MAX: 1.86
MinAvgMaxCore Ultra 7 155H1.533.764.0Ryzen 7 7840U3.431.950.9Ryzen 7 7840HS0.732.635.2OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPURyzen 7 7840HS0.01010.02020.03030.04040.05050.045

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: Face Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 7.14, N = 15SE +/- 1.59, N = 3SE +/- 0.28, N = 31105.08405.33389.66-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 458.17 / MAX: 1748.77-shared -ldl - MIN: 342.91 / MAX: 427.35-shared -ldl - MIN: 188.52 / MAX: 403.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H2.733.264.1Ryzen 7 7840U2.631.651.2Ryzen 7 7840HS3.232.735.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.04, N = 15SE +/- 0.04, N = 3SE +/- 0.01, N = 36.309.8610.25-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

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 CompileCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1530456075SE +/- 0.65, N = 15SE +/- 0.04, N = 3SE +/- 0.10, N = 365.4955.7954.35
MinAvgMaxCore Ultra 7 155H1.732.064.4Ryzen 7 7840U2.630.351.0Ryzen 7 7840HS3.331.235.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor20406080100

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: 8 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS400800120016002000SE +/- 21.32, N = 3SE +/- 6.27, N = 15SE +/- 11.02, N = 31861.91896.51881.6-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.533.660.7Ryzen 7 7840U2.726.641.5Ryzen 7 7840HS1.824.835.2OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedRyzen 7 7840HS2040608010075.91

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS100200300400500SE +/- 6.52, N = 3SE +/- 1.77, N = 15SE +/- 3.29, N = 3467.2217.6287.7-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz

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 DragonCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.09, N = 15SE +/- 0.03, N = 3SE +/- 0.04, N = 311.6113.8013.68MIN: 10.89 / MAX: 15.03MIN: 13.67 / MAX: 15.06MIN: 13.56 / MAX: 13.92
MinAvgMaxCore Ultra 7 155H1.632.564.3Ryzen 7 7840U3.431.750.9Ryzen 7 7840HS3.232.735.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonRyzen 7 7840HS0.09410.18820.28230.37640.47050.418

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 0Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 0.55, N = 3SE +/- 0.08, N = 3SE +/- 0.25, N = 3155.33142.15135.821. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H4.332.264.2Ryzen 7 7840U2.929.751.0Ryzen 7 7840HS3.331.335.4OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.63281.26561.89842.53123.164SE +/- 0.02189, N = 15SE +/- 0.00291, N = 3SE +/- 0.00611, N = 31.662512.812352.81013
MinAvgMaxCore Ultra 7 155H1.632.064.3Ryzen 7 7840U3.631.150.9Ryzen 7 7840HS2.531.335.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeRyzen 7 7840HS0.02030.04060.06090.08120.10150.09

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: BedroomCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.43380.86761.30141.73522.169SE +/- 0.016, N = 15SE +/- 0.001, N = 3SE +/- 0.003, N = 31.2881.8821.928
MinAvgMaxCore Ultra 7 155H4.333.564.3Ryzen 7 7840U3.331.851.0Ryzen 7 7840HS3.232.635.3OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomRyzen 7 7840HS0.01330.02660.03990.05320.06650.059

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30K60K90K120K150KSE +/- 2108.23, N = 15SE +/- 31.14, N = 3SE +/- 14.90, N = 3125552.030731.629571.9
MinAvgMaxCore Ultra 7 155H4.633.764.6Ryzen 7 7840U3.031.951.0Ryzen 7 7840HS3.032.935.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

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: SupercarCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.96321.92642.88963.85284.816SE +/- 0.039, N = 15SE +/- 0.010, N = 3SE +/- 0.009, N = 33.4514.1624.281
MinAvgMaxCore Ultra 7 155H4.332.964.7Ryzen 7 7840U2.331.851.0Ryzen 7 7840HS3.332.635.3OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgM samples/s Per Watt, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarRyzen 7 7840HS0.02950.0590.08850.1180.14750.131

OSPRay

Intel OSPRay is a portable ray-tracing engine for high-performance, high-fidelity scientific visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.61171.22341.83512.44683.0585SE +/- 0.01648, N = 15SE +/- 0.00731, N = 3SE +/- 0.00113, N = 31.602492.693612.71870
MinAvgMaxCore Ultra 7 155H1.532.064.2Ryzen 7 7840U3.531.250.9Ryzen 7 7840HS2.931.435.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgItems Per Second Per Watt, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeRyzen 7 7840HS0.01960.03920.05880.07840.0980.087

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: Person Detection FP16 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS80160240320400SE +/- 3.66, N = 15SE +/- 0.05, N = 3SE +/- 0.31, N = 3358.29113.0297.82-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 189.82 / MAX: 500.52-shared -ldl - MIN: 75.9 / MAX: 137.69-shared -ldl - MIN: 53.89 / MAX: 117.531. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.432.365.6Ryzen 7 7840U3.331.848.7Ryzen 7 7840HS2.732.735.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS918273645SE +/- 0.20, N = 15SE +/- 0.02, N = 3SE +/- 0.12, N = 319.5235.3540.85-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

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 MaterialCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS50100150200250231.82210.08202.00
MinAvgMaxCore Ultra 7 155H1.733.664.0Ryzen 7 7840U2.332.751.0Ryzen 7 7840HS2.634.535.4OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS60120180240300256.34196.02189.33
MinAvgMaxCore Ultra 7 155H1.933.465.6Ryzen 7 7840U2.132.851.1Ryzen 7 7840HS2.834.535.5OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor20406080100

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: Handwritten English Recognition FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 1.18, N = 15SE +/- 0.06, N = 3SE +/- 0.02, N = 3154.6338.0536.35-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 82.86 / MAX: 237.89-shared -ldl - MIN: 23.35 / MAX: 47.88-shared -ldl - MIN: 20.6 / MAX: 51.921. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.033.064.4Ryzen 7 7840U2.631.951.2Ryzen 7 7840HS3.332.935.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS50100150200250SE +/- 0.85, N = 15SE +/- 0.26, N = 3SE +/- 0.18, N = 3109.71208.88218.39-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 0.24, N = 15SE +/- 0.01, N = 3SE +/- 0.03, N = 329.748.307.80-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 13.33 / MAX: 63.08-shared -ldl - MIN: 4.8 / MAX: 23.8-shared -ldl - MIN: 5.15 / MAX: 21.11. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.432.964.1Ryzen 7 7840U2.031.951.1Ryzen 7 7840HS2.532.735.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS110220330440550SE +/- 1.90, N = 15SE +/- 0.36, N = 3SE +/- 1.49, N = 3234.99480.01511.03-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS40K80K120K160K200KSE +/- 753.91, N = 3SE +/- 118.90, N = 3SE +/- 244.92, N = 3165339117411115599
MinAvgMaxCore Ultra 7 155H1.432.664.1Ryzen 7 7840U3.230.951.0Ryzen 7 7840HS2.432.535.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

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: Weld Porosity Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS612182430SE +/- 0.22, N = 15SE +/- 0.01, N = 3SE +/- 0.00, N = 325.898.097.79-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 12.01 / MAX: 76.15-shared -ldl - MIN: 3.61 / MAX: 21.87-shared -ldl - MIN: 4.04 / MAX: 23.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.033.064.3Ryzen 7 7840U3.632.051.0Ryzen 7 7840HS2.332.835.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 5.39, N = 15SE +/- 1.60, N = 3SE +/- 0.36, N = 3648.24976.271014.28-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update RandomCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS110K220K330K440K550KSE +/- 2110.32, N = 15SE +/- 1108.04, N = 3SE +/- 689.33, N = 33044825230265293981. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxCore Ultra 7 155H3.833.464.1Ryzen 7 7840U2.632.151.0Ryzen 7 7840HS2.832.935.1OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Update RandomRyzen 7 7840HS3K6K9K12K15K16094.29

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: defconfigCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 1.38, N = 4SE +/- 0.64, N = 3SE +/- 0.49, N = 3127.61112.58109.19
MinAvgMaxCore Ultra 7 155H1.632.764.3Ryzen 7 7840U3.129.951.0Ryzen 7 7840HS2.931.235.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor20406080100

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS6K12K18K24K30KSE +/- 115.37, N = 3SE +/- 17.60, N = 3SE +/- 17.47, N = 327810.5620064.3220587.691. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
MinAvgMaxCore Ultra 7 155H1.733.364.1Ryzen 7 7840U3.232.035.1Ryzen 7 7840HS2.433.835.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CRyzen 7 7840HS130260390520650608.66

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.69751.3952.09252.793.4875SE +/- 0.02, N = 12SE +/- 0.01, N = 3SE +/- 0.02, N = 32.853.102.89MIN: 2.58 / MAX: 3.71MIN: 3.02 / MAX: 3.47MIN: 2.86 / MAX: 2.95
MinAvgMaxCore Ultra 7 155H1.533.564.3Ryzen 7 7840U2.831.851.0Ryzen 7 7840HS2.432.535.2OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPURyzen 7 7840HS0.020.040.060.080.10.089

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS16K32K48K64K80KSE +/- 942.37, N = 13SE +/- 123.63, N = 3SE +/- 66.41, N = 373566.532952.431429.1
MinAvgMaxCore Ultra 7 155H4.233.165.4Ryzen 7 7840U2.931.248.5Ryzen 7 7840HS3.132.935.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

OpenRadioss

OpenRadioss is an open-source AGPL-licensed finite element solver for dynamic event analysis OpenRadioss is based on Altair Radioss and open-sourced in 2022. This open-source finite element solver is benchmarked with various example models available from https://www.openradioss.org/models/ and https://github.com/OpenRadioss/ModelExchange/tree/main/Examples. This test is currently using a reference OpenRadioss binary build offered via GitHub. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 1.79, N = 3SE +/- 0.25, N = 3SE +/- 0.09, N = 3158.81110.21102.96
MinAvgMaxCore Ultra 7 155H1.632.964.1Ryzen 7 7840U2.931.851.0Ryzen 7 7840HS2.033.035.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor20406080100

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS8001600240032004000SE +/- 57.37, N = 12SE +/- 2.40, N = 3SE +/- 2.68, N = 33694.571690.541626.03
MinAvgMaxCore Ultra 7 155H4.535.264.0Ryzen 7 7840U3.231.748.4Ryzen 7 7840HS3.133.035.2OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 36.6511.9712.57MIN: 2.63 / MAX: 9.58MIN: 11.15 / MAX: 12.35MIN: 11.51 / MAX: 12.74
MinAvgMaxCore Ultra 7 155H4.934.757.0Ryzen 7 7840U2.031.845.9Ryzen 7 7840HS2.933.035.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor1632486480
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lRyzen 7 7840HS0.08550.1710.25650.3420.42750.38

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30K60K90K120K150KSE +/- 1191.59, N = 3SE +/- 209.80, N = 3SE +/- 153.44, N = 31405579898597019
MinAvgMaxCore Ultra 7 155H1.532.564.1Ryzen 7 7840U3.430.551.0Ryzen 7 7840HS3.431.935.4OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS400K800K1200K1600K2000KSE +/- 60495.91, N = 12SE +/- 8086.24, N = 3SE +/- 19468.88, N = 31604229177416118175841. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxCore Ultra 7 155H4.233.564.3Ryzen 7 7840U3.132.151.0Ryzen 7 7840HS2.532.935.2OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read While WritingRyzen 7 7840HS12K24K36K48K60K55274.15

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: FirefoxCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS50100150200250SE +/- 0.65, N = 3SE +/- 2.84, N = 3SE +/- 0.61, N = 3180.14200.98209.171. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.822.657.5Ryzen 7 7840U2.917.045.4Ryzen 7 7840HS1.717.835.0OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1632486480
OpenBenchmarking.orgScore Per Watt, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 7 7840HS369121511.78

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS13M26M39M52M65MSE +/- 439126.31, N = 11SE +/- 204364.81, N = 3SE +/- 97040.01, N = 35953595954818670562518001. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxCore Ultra 7 155H4.533.864.3Ryzen 7 7840U2.831.951.0Ryzen 7 7840HS2.132.835.2OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Random ReadRyzen 7 7840HS400K800K1200K1600K2000K1717250.87

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS150300450600750SE +/- 3.14, N = 3SE +/- 1.52, N = 3SE +/- 1.63, N = 3593.50657.86704.56
MinAvgMaxCore Ultra 7 155H1.621.530.3Ryzen 7 7840U2.716.320.8Ryzen 7 7840HS2.617.121.0OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor918273645
OpenBenchmarking.orgScore Per Watt, More Is BetterNumpy BenchmarkRyzen 7 7840HS91827364541.16

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.35620.71241.06861.42481.781SE +/- 0.001506, N = 3SE +/- 0.007666, N = 3SE +/- 0.001168, N = 31.5161411.5067661.5831331. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxCore Ultra 7 155H4.734.263.5Ryzen 7 7840U6.731.643.3Ryzen 7 7840HS3.132.935.2OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Ryzen 7 7840HS0.01080.02160.03240.04320.0540.048

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: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.28350.5670.85051.1341.4175SE +/- 0.01, N = 10SE +/- 0.00, N = 3SE +/- 0.00, N = 31.260.380.37-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 0.38 / MAX: 8.73-shared -ldl - MIN: 0.19 / MAX: 7.48-shared -ldl - MIN: 0.21 / MAX: 7.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.433.664.1Ryzen 7 7840U2.431.951.1Ryzen 7 7840HS3.432.835.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4K8K12K16K20KSE +/- 92.94, N = 10SE +/- 2.89, N = 3SE +/- 19.19, N = 312364.8718984.5519921.64-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test profile makes use of the built-in "openssl speed" benchmarking capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30K60K90K120K150KSE +/- 451.59, N = 10SE +/- 140.48, N = 3SE +/- 150.87, N = 3138795.8154053.0159766.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H3.834.464.4Ryzen 7 7840U3.431.951.2Ryzen 7 7840HS3.332.735.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgverify/s Per Watt, More Is BetterOpenSSL 3.1Algorithm: RSA4096Ryzen 7 7840HS100020003000400050004880.70

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS12002400360048006000SE +/- 16.23, N = 10SE +/- 23.60, N = 3SE +/- 14.91, N = 32138.85348.95497.91. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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: Road Segmentation ADAS FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265SE +/- 0.54, N = 7SE +/- 0.13, N = 3SE +/- 0.21, N = 558.1823.2920.87-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 27.84 / MAX: 100.27-shared -ldl - MIN: 11.62 / MAX: 32.63-shared -ldl - MIN: 12.5 / MAX: 34.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.333.564.0Ryzen 7 7840U2.731.851.1Ryzen 7 7840HS3.032.835.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 1.12, N = 7SE +/- 0.96, N = 3SE +/- 1.95, N = 5120.16171.23191.19-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.13, N = 15SE +/- 0.19, N = 3SE +/- 0.19, N = 314.4013.3713.141. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.533.163.9Ryzen 7 7840U3.231.047.4Ryzen 7 7840HS2.927.634.9OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 4KRyzen 7 7840HS0.10730.21460.32190.42920.53650.477

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.08330.16660.24990.33320.4165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.250.340.37
MinAvgMaxCore Ultra 7 155H1.633.061.0Ryzen 7 7840U2.732.350.5Ryzen 7 7840HS2.933.235.4OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgImages / Sec Per Watt, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyRyzen 7 7840HS0.00250.0050.00750.010.01250.011

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.15440.30880.46320.61760.772SE +/- 0.0068, N = 5SE +/- 0.0007, N = 3SE +/- 0.0006, N = 30.61250.66930.68601. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxCore Ultra 7 155H4.434.064.2Ryzen 7 7840U2.731.651.0Ryzen 7 7840HS3.332.635.2OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ExhaustiveRyzen 7 7840HS0.00470.00940.01410.01880.02350.021

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: 16 - Model: ResNet-50Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS612182430SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 314.3421.8624.04
MinAvgMaxCore Ultra 7 155H4.434.155.6Ryzen 7 7840U2.431.749.6Ryzen 7 7840HS2.832.635.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor1530456075
OpenBenchmarking.orgimages/sec Per Watt, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Ryzen 7 7840HS0.16580.33160.49740.66320.8290.737

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: Very FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.14, N = 15SE +/- 0.03, N = 3SE +/- 0.11, N = 313.9117.8017.86
MinAvgMaxCore Ultra 7 155H1.532.862.9Ryzen 7 7840U3.331.249.6Ryzen 7 7840HS2.531.235.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 7 7840HS0.12870.25740.38610.51480.64350.572

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS13002600390052006500SE +/- 63.74, N = 4SE +/- 22.28, N = 7SE +/- 5.20, N = 36109.592363.212174.46
MinAvgMaxCore Ultra 7 155H4.433.865.4Ryzen 7 7840U2.429.551.0Ryzen 7 7840HS3.333.035.3OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: SGD RegressionCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.19, N = 3SE +/- 0.05, N = 3108.3296.581. (F9X) gfortran options: -O0
MinAvgMaxCore Ultra 7 155H4.026.164.0Ryzen 7 7840U6.820.643.7OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor20406080100

Benchmark: SGD Regression

Ryzen 7 7840HS: The test quit with a non-zero exit status. E: ImportError: /lib/x86_64-linux-gnu/liblapack.so.3: undefined symbol: gotoblas

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 0.49, N = 12SE +/- 0.25, N = 15SE +/- 0.08, N = 329.2025.3725.30
MinAvgMaxCore Ultra 7 155H3.933.864.3Ryzen 7 7840U6.729.851.1Ryzen 7 7840HS3.027.835.1OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

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: Super FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.15, N = 15SE +/- 0.06, N = 3SE +/- 0.02, N = 314.7718.8618.89
MinAvgMaxCore Ultra 7 155H1.632.762.9Ryzen 7 7840U3.131.250.3Ryzen 7 7840HS2.631.235.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 7 7840HS0.13610.27220.40830.54440.68050.605

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: Face Detection Retail FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.07, N = 7SE +/- 0.01, N = 3SE +/- 0.01, N = 37.594.744.57-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 2.77 / MAX: 23.67-shared -ldl - MIN: 2.39 / MAX: 62.84-shared -ldl - MIN: 2.62 / MAX: 21.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H2.733.864.0Ryzen 7 7840U3.232.051.1Ryzen 7 7840HS3.232.835.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS400800120016002000SE +/- 8.17, N = 7SE +/- 0.45, N = 3SE +/- 1.77, N = 3916.951668.121731.53-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4K8K12K16K20KSE +/- 55.69, N = 3SE +/- 12.44, N = 3SE +/- 18.52, N = 3194031411513848
MinAvgMaxCore Ultra 7 155H1.933.564.2Ryzen 7 7840U3.230.251.0Ryzen 7 7840HS3.431.735.5OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

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: 8, Long Mode - Decompression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS400800120016002000SE +/- 16.19, N = 3SE +/- 4.26, N = 6SE +/- 6.22, N = 31870.61872.81810.2-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.434.261.4Ryzen 7 7840U3.127.143.5Ryzen 7 7840HS1.625.035.0OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedRyzen 7 7840HS163248648072.48

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS100200300400500SE +/- 1.88, N = 3SE +/- 2.40, N = 6SE +/- 1.10, N = 3445.3235.8291.2-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz

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: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2K4K6K8K10KSE +/- 94.03, N = 4SE +/- 23.67, N = 3SE +/- 63.43, N = 389731079310947
MinAvgMaxCore Ultra 7 155H1.733.165.6Ryzen 7 7840U2.529.543.9Ryzen 7 7840HS3.030.435.4OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgvsamples Per Watt, More Is BetterChaos Group V-RAY 5.02Mode: CPURyzen 7 7840HS80160240320400360.34

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3K6K9K12K15KSE +/- 3.57, N = 9SE +/- 18.92, N = 3SE +/- 21.56, N = 39662.616186.615324.01. (CC) gcc options: -O3
MinAvgMaxCore Ultra 7 155H1.619.926.3Ryzen 7 7840U2.216.721.8Ryzen 7 7840HS2.017.922.1OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor816243240
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedRyzen 7 7840HS2004006008001000856.76

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.55, N = 9SE +/- 0.68, N = 3SE +/- 0.03, N = 367.5270.2074.951. (CC) gcc options: -O3

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1428425670SE +/- 0.61, N = 6SE +/- 0.03, N = 3SE +/- 0.06, N = 360.1263.1261.021. (CC) gcc options: -lm -lpthread -O3
MinAvgMaxCore Ultra 7 155H1.634.165.8Ryzen 7 7840U3.132.051.0Ryzen 7 7840HS2.432.936.2OpenBenchmarking.orgWatts, Fewer Is BetterC-Ray 1.1CPU Power Consumption Monitor20406080100

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.84781.69562.54343.39124.239SE +/- 0.024, N = 8SE +/- 0.014, N = 3SE +/- 0.009, N = 32.8773.6623.7681. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.533.163.4Ryzen 7 7840U3.831.050.7Ryzen 7 7840HS2.531.235.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 7 7840HS0.0270.0540.0810.1080.1350.12

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 0.21, N = 3SE +/- 0.14, N = 3SE +/- 0.18, N = 315.8429.2231.78MIN: 11.12 / MAX: 20.44MIN: 26.95 / MAX: 29.98MIN: 24.29 / MAX: 32.32
MinAvgMaxCore Ultra 7 155H4.834.062.8Ryzen 7 7840U2.631.447.2Ryzen 7 7840HS2.832.235.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50Ryzen 7 7840HS0.22190.44380.66570.88761.10950.986

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSECore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS816243240SE +/- 0.40, N = 15SE +/- 0.14, N = 3SE +/- 0.12, N = 333.4735.2333.64
MinAvgMaxCore Ultra 7 155H3.832.564.3Ryzen 7 7840U7.023.551.0Ryzen 7 7840HS2.922.935.0OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS9001800270036004500SE +/- 58.73, N = 3SE +/- 6.17, N = 3SE +/- 3.46, N = 3428029902920
MinAvgMaxCore Ultra 7 155H1.533.364.1Ryzen 7 7840U2.429.551.0Ryzen 7 7840HS3.130.635.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 0.03, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 316.0229.0331.73MIN: 13.73 / MAX: 18.42MIN: 26 / MAX: 29.84MIN: 21.55 / MAX: 32.36
MinAvgMaxCore Ultra 7 155H4.434.861.0Ryzen 7 7840U3.331.347.1Ryzen 7 7840HS3.132.235.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50Ryzen 7 7840HS0.22160.44320.66480.88641.1080.985

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 FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.17, N = 15SE +/- 0.01, N = 3SE +/- 0.12, N = 316.8321.9122.151. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.532.261.9Ryzen 7 7840U3.731.149.4Ryzen 7 7840HS3.130.535.0OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 7 7840HS0.16340.32680.49020.65360.8170.726

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.46330.92661.38991.85322.3165SE +/- 0.003, N = 3SE +/- 0.005, N = 3SE +/- 0.002, N = 32.0591.4521.425
MinAvgMaxCore Ultra 7 155H4.223.727.5Ryzen 7 7840U6.818.720.8Ryzen 7 7840HS3.017.819.9OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor816243240

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: FasterCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.043, N = 3SE +/- 0.010, N = 3SE +/- 0.002, N = 36.8638.2078.7531. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxCore Ultra 7 155H1.634.062.4Ryzen 7 7840U3.431.848.4Ryzen 7 7840HS3.131.935.2OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterRyzen 7 7840HS0.06190.12380.18570.24760.30950.275

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_startupCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 313.306.856.51
MinAvgMaxCore Ultra 7 155H1.46.58.3Ryzen 7 7840U2.815.416.5Ryzen 7 7840HS2.815.917.3OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor510152025

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 Dragon ObjCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 310.2711.8211.66MIN: 9.58 / MAX: 13.09MIN: 11.66 / MAX: 12.89MIN: 11.59 / MAX: 11.86
MinAvgMaxCore Ultra 7 155H1.832.764.2Ryzen 7 7840U3.730.551.2Ryzen 7 7840HS3.231.535.5OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjRyzen 7 7840HS0.08330.16660.24990.33320.41650.37

TensorFlow Lite

This is a benchmark of the TensorFlow Lite implementation focused on TensorFlow machine learning for mobile, IoT, edge, and other cases. The current Linux support is limited to running on CPUs. This test profile is measuring the average inference time. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS12002400360048006000SE +/- 61.52, N = 5SE +/- 44.03, N = 3SE +/- 14.28, N = 35506.563381.293295.09
MinAvgMaxCore Ultra 7 155H4.235.164.0Ryzen 7 7840U3.632.050.9Ryzen 7 7840HS3.133.035.2OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

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: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS612182430SE +/- 0.27, N = 5SE +/- 0.01, N = 3SE +/- 0.03, N = 324.447.576.88-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 11.36 / MAX: 49.16-shared -ldl - MIN: 3.81 / MAX: 24.08-shared -ldl - MIN: 3.86 / MAX: 16.51. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.033.864.0Ryzen 7 7840U3.032.051.1Ryzen 7 7840HS3.532.835.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS130260390520650SE +/- 3.17, N = 5SE +/- 0.91, N = 3SE +/- 2.27, N = 3285.56525.96579.13-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

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 FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.19, N = 15SE +/- 0.09, N = 3SE +/- 0.00, N = 318.3322.7222.62
MinAvgMaxCore Ultra 7 155H1.633.163.1Ryzen 7 7840U3.230.949.8Ryzen 7 7840HS3.530.635.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 7 7840HS0.16650.3330.49950.6660.83250.74

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: ARES-6 - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.07, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 318.6016.2616.241. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.817.927.4Ryzen 7 7840U2.914.620.5Ryzen 7 7840HS1.714.826.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.5241.0481.5722.0962.62SE +/- 0.002371, N = 3SE +/- 0.010681, N = 3SE +/- 0.003341, N = 32.2914492.2824662.3290421. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxCore Ultra 7 155H4.135.164.2Ryzen 7 7840U6.631.244.0Ryzen 7 7840HS3.232.735.3OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Ryzen 7 7840HS0.0160.0320.0480.0640.080.071

John The Ripper

This is a benchmark of John The Ripper, which is a password cracker. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4K8K12K16K20KSE +/- 256.27, N = 15SE +/- 55.81, N = 3SE +/- 27.45, N = 3146671863119082-lbz2-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt
MinAvgMaxRyzen 7 7840U2.531.050.9Core Ultra 7 155H1.533.964.1Ryzen 7 7840HS2.130.635.0OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: bcryptRyzen 7 7840HS130260390520650620.16

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4K8K12K16K20KSE +/- 202.87, N = 15SE +/- 54.04, N = 3SE +/- 21.70, N = 3146801864919080-lbz2-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt
OpenBenchmarking.orgReal C/S Per Watt, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishRyzen 7 7840HS130260390520650622.52

Timed GDB GNU Debugger Compilation

This test times how long it takes to build the GNU Debugger (GDB) in a default configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To CompileCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.06, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 376.7466.2365.92
MinAvgMaxCore Ultra 7 155H1.830.864.3Ryzen 7 7840U3.128.951.0Ryzen 7 7840HS3.329.535.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2CPU Power Consumption Monitor20406080100

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 SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 23.65, N = 3SE +/- 5.32, N = 3SE +/- 15.50, N = 31624.31315.01269.2-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.530.156.2Ryzen 7 7840U2.922.137.6Ryzen 7 7840HS1.923.435.0OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor1632486480
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedRyzen 7 7840HS122436486054.28

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 311.811.511.2-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz

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 RatingCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS15K30K45K60K75KSE +/- 1102.62, N = 4SE +/- 378.74, N = 3SE +/- 76.81, N = 155143868828681961. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
MinAvgMaxCore Ultra 7 155H1.535.964.2Ryzen 7 7840U3.630.051.2Ryzen 7 7840HS1.829.735.5OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMIPS Per Watt, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 7 7840HS50010001500200025002296.95

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20K40K60K80K100KSE +/- 1003.66, N = 4SE +/- 130.26, N = 3SE +/- 708.44, N = 158110077484654221. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 2.88, N = 3SE +/- 1.12, N = 3SE +/- 0.43, N = 3968.92323.94307.21
MinAvgMaxCore Ultra 7 155H4.130.964.1Ryzen 7 7840U3.225.051.0Ryzen 7 7840HS3.125.535.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.0269, N = 3SE +/- 0.0390, N = 3SE +/- 0.0148, N = 37.09299.24269.7614

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.10, N = 36.418.389.001. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.420.025.8Ryzen 7 7840U2.817.118.4Ryzen 7 7840HS1.916.718.6OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor816243240
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDRyzen 7 7840HS0.12110.24220.36330.48440.60550.538

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 2Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1632486480SE +/- 0.68, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 370.9466.5663.751. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H4.132.664.2Ryzen 7 7840U3.728.351.0Ryzen 7 7840HS3.129.035.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 1.75, N = 4SE +/- 0.33, N = 3SE +/- 0.00, N = 3144105106-lSM -lICE -lbz2-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.962.1Ryzen 7 7840U2.831.950.3Ryzen 7 7840HS2.932.835.2OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: SharpenRyzen 7 7840HS0.72741.45482.18222.90963.6373.233

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 36.418.329.001. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.820.825.9Ryzen 7 7840U2.617.218.5Ryzen 7 7840HS2.117.520.3OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor816243240
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: TopTweetRyzen 7 7840HS0.11570.23140.34710.46280.57850.514

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 35.727.047.631. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.519.624.1Ryzen 7 7840U2.816.818.1Ryzen 7 7840HS2.216.218.0OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor816243240
OpenBenchmarking.orgGB/s Per Watt, More Is Bettersimdjson 2.0Throughput Test: PartialTweetsRyzen 7 7840HS0.1060.2120.3180.4240.530.471

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS120M240M360M480M600MSE +/- 2936005.47, N = 14SE +/- 1846085.95, N = 3SE +/- 2305257.28, N = 34953464295638800005775166671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.235.364.1Ryzen 7 7840U3.231.451.0Ryzen 7 7840HS3.030.835.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 32Ryzen 7 7840HS4M8M12M16M20M18780148.95

Z3 Theorem Prover

The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 2.smt2Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.48, N = 3SE +/- 0.01, N = 3SE +/- 0.09, N = 377.0161.1761.441. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
MinAvgMaxCore Ultra 7 155H1.521.725.8Ryzen 7 7840U2.915.317.4Ryzen 7 7840HS1.914.318.6OpenBenchmarking.orgWatts, Fewer Is BetterZ3 Theorem Prover 4.12.1CPU Power Consumption Monitor816243240

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 CompileCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1632486480SE +/- 0.57, N = 3SE +/- 0.22, N = 3SE +/- 0.25, N = 369.9565.0264.16
MinAvgMaxCore Ultra 7 155H1.732.564.1Ryzen 7 7840U3.326.951.1Ryzen 7 7840HS3.128.535.2OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 8.1.9CPU Power Consumption Monitor20406080100

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1530456075SE +/- 0.30, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 367.1367.4462.98
MinAvgMaxCore Ultra 7 155H1.724.549.8Ryzen 7 7840U6.818.935.1Ryzen 7 7840HS2.817.827.7OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1428425670

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS15K30K45K60K75KSE +/- 825.98, N = 3SE +/- 72.88, N = 3SE +/- 164.79, N = 3680045147450376
MinAvgMaxCore Ultra 7 155H1.633.264.1Ryzen 7 7840U3.728.751.0Ryzen 7 7840HS3.229.735.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.01790.03580.05370.07160.0895SE +/- 0.00030242, N = 3SE +/- 0.00023029, N = 3SE +/- 0.00035888, N = 30.079574290.075942560.07020660
MinAvgMaxCore Ultra 7 155H4.320.625.8Ryzen 7 7840U3.515.617.1Ryzen 7 7840HS3.117.520.3OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor816243240

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 SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS400800120016002000SE +/- 43.01, N = 3SE +/- 62.03, N = 3SE +/- 7.89, N = 31931.81831.71893.0-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.633.363.2Ryzen 7 7840U3.325.342.3Ryzen 7 7840HS1.924.635.0OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMB/s Per Watt, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedRyzen 7 7840HS2040608010076.94

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 2.36, N = 3SE +/- 0.67, N = 3SE +/- 0.98, N = 3164.397.3106.5-llzma-llzma1. (CC) gcc options: -O3 -pthread -lz

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 FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 0.24, N = 15SE +/- 0.11, N = 3SE +/- 0.02, N = 320.7327.4427.761. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.532.562.9Ryzen 7 7840U3.130.550.1Ryzen 7 7840HS3.429.935.3OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 7 7840HS0.2090.4180.6270.8361.0450.929

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS5001000150020002500SE +/- 3.94, N = 3SE +/- 4.65, N = 3SE +/- 3.44, N = 32425.201269.301440.051. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS6001200180024003000SE +/- 31.87, N = 3SE +/- 23.99, N = 3SE +/- 10.55, N = 32758.571886.451599.081. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
MinAvgMaxCore Ultra 7 155H4.530.964.0Ryzen 7 7840U2.929.335.9Ryzen 7 7840HS3.231.135.4OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMillion Grid Points Per Second Per Watt, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingRyzen 7 7840HS122436486051.44

OSPRay Studio

Intel OSPRay Studio is an open-source, interactive visualization and ray-tracing software package. OSPRay Studio makes use of Intel OSPRay, a portable ray-tracing engine for high-performance, high-fidelity visualizations. OSPRay builds off Intel's Embree and Intel SPMD Program Compiler (ISPC) components as part of the oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4K8K12K16K20KSE +/- 36.73, N = 3SE +/- 9.87, N = 3SE +/- 21.93, N = 3164651187111577
MinAvgMaxCore Ultra 7 155H1.833.764.1Ryzen 7 7840U2.928.651.0Ryzen 7 7840HS3.429.535.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

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 TimeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1530456075SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 367.6756.6654.601. RawTherapee, version 5.9, command line.
MinAvgMaxCore Ultra 7 155H4.031.244.7Ryzen 7 7840U3.228.538.8Ryzen 7 7840HS2.224.730.6OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor1224364860

FFmpeg

This is a benchmark of the FFmpeg multimedia framework. The FFmpeg test profile is making use of a modified version of vbench from Columbia University's Architecture and Design Lab (ARCADE) [http://arcade.cs.columbia.edu/vbench/] that is a benchmark for video-as-a-service workloads. The test profile offers the options of a range of vbench scenarios based on freely distributable video content and offers the options of using the x264 or x265 video encoders for transcoding. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 0.47, N = 3SE +/- 0.03, N = 3SE +/- 0.60, N = 393.88134.44133.821. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.628.656.8Ryzen 7 7840U2.928.847.0Ryzen 7 7840HS2.228.335.1OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1632486480
OpenBenchmarking.orgFPS Per Watt, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveRyzen 7 7840HS1.06432.12863.19294.25725.32154.73

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS50100150200250SE +/- 1.67, N = 3SE +/- 0.33, N = 3SE +/- 0.33, N = 3223202208-lSM -lICE -lbz2-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.663.2Ryzen 7 7840U2.431.948.1Ryzen 7 7840HS2.232.435.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedRyzen 7 7840HS2468106.419

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write RandomCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS300K600K900K1200K1500KSE +/- 12698.08, N = 3SE +/- 1290.34, N = 3SE +/- 1614.29, N = 31147524156277816023501. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxCore Ultra 7 155H4.834.664.1Ryzen 7 7840U3.632.151.1Ryzen 7 7840HS3.332.835.2OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgOp/s Per Watt, More Is BetterRocksDB 8.0Test: Read Random Write RandomRyzen 7 7840HS10K20K30K40K50K48901.93

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS60120180240300SE +/- 2.19, N = 3SE +/- 1.76, N = 3SE +/- 0.33, N = 3229266271-lSM -lICE -lbz2-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.552.6Ryzen 7 7840U2.931.943.7Ryzen 7 7840HS2.729.832.4OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor1530456075
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianRyzen 7 7840HS36912159.106

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS100200300400500SE +/- 4.93, N = 3SE +/- 0.88, N = 3SE +/- 0.33, N = 3406457456-lSM -lICE -lbz2-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.162.2Ryzen 7 7840U3.632.149.3Ryzen 7 7840HS3.332.334.6OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: SwirlRyzen 7 7840HS4812162014.14

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 10.17, N = 3SE +/- 11.57, N = 3SE +/- 8.69, N = 3808853827-lSM -lICE -lbz2-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.262.9Ryzen 7 7840U3.132.148.8Ryzen 7 7840HS3.332.434.9OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: ResizingRyzen 7 7840HS61218243025.49

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 6.24, N = 3SE +/- 2.89, N = 3SE +/- 7.84, N = 31032561595-lSM -lICE -lbz2-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.823.326.3Ryzen 7 7840U2.815.516.8Ryzen 7 7840HS2.914.917.2OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor816243240
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: RotateRyzen 7 7840HS91827364540.01

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 2.89, N = 3SE +/- 2.33, N = 3SE +/- 0.33, N = 3809892888-lSM -lICE -lbz2-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.630.740.5Ryzen 7 7840U3.625.828.0Ryzen 7 7840HS2.722.023.9OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor1122334455
OpenBenchmarking.orgIterations Per Minute Per Watt, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceRyzen 7 7840HS91827364540.32

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: FirefoxCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS70140210280350SE +/- 2.58, N = 5SE +/- 3.84, N = 3SE +/- 1.86, N = 32543072811. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.712.025.6Ryzen 7 7840U2.812.822.7Ryzen 7 7840HS1.610.218.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240
OpenBenchmarking.orgRuns Per Minute Per Watt, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxRyzen 7 7840HS61218243027.46

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS130260390520650SE +/- 8.07, N = 15SE +/- 1.72, N = 3SE +/- 0.81, N = 3617.0511.8500.41. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.610.423.3Ryzen 7 7840U3.010.620.5Ryzen 7 7840HS1.98.315.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

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 1080p - Video Preset: FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.11, N = 5SE +/- 0.01, N = 3SE +/- 0.05, N = 311.1413.6413.891. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxCore Ultra 7 155H1.633.962.6Ryzen 7 7840U3.131.549.7Ryzen 7 7840HS2.731.635.1OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FastRyzen 7 7840HS0.0990.1980.2970.3960.4950.44

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FasterCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 0.18, N = 15SE +/- 0.10, N = 3SE +/- 0.11, N = 323.5428.9229.111. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxCore Ultra 7 155H1.633.557.0Ryzen 7 7840U2.230.147.3Ryzen 7 7840HS2.828.134.6OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor1632486480
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FasterRyzen 7 7840HS0.23270.46540.69810.93081.16351.034

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS6001200180024003000SE +/- 60.29, N = 3SE +/- 15.01, N = 2SE +/- 28.18, N = 31494.152806.452705.691. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
MinAvgMaxCore Ultra 7 155H4.332.964.1Ryzen 7 7840U3.029.947.6Ryzen 7 7840HS1.930.235.1OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMpix/sec Per Watt, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingRyzen 7 7840HS2040608010089.62

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS6001200180024003000SE +/- 16.69, N = 3SE +/- 35.04, N = 3SE +/- 35.93, N = 31246.982753.292500.051. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.09, N = 3SE +/- 0.01, N = 3SE +/- 0.10, N = 316.7417.6618.01
MinAvgMaxCore Ultra 7 155H4.125.234.4Ryzen 7 7840U3.219.625.6Ryzen 7 7840HS3.223.129.8OpenBenchmarking.orgWatts, Fewer Is BetterNode.js V8 Web Tooling BenchmarkCPU Power Consumption Monitor1020304050
OpenBenchmarking.orgruns/s Per Watt, More Is BetterNode.js V8 Web Tooling BenchmarkRyzen 7 7840HS0.17550.3510.52650.7020.87750.78

Primesieve

Primesieve generates prime numbers using a highly optimized sieve of Eratosthenes implementation. Primesieve primarily benchmarks the CPU's L1/L2 cache performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS612182430SE +/- 0.31, N = 15SE +/- 0.13, N = 3SE +/- 0.01, N = 326.7117.8517.561. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.433.765.6Ryzen 7 7840U3.230.351.0Ryzen 7 7840HS3.129.035.1OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption Monitor20406080100

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 1.04, N = 12SE +/- 0.27, N = 3SE +/- 0.08, N = 321.5129.3330.481. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.532.264.0Ryzen 7 7840U3.629.751.3Ryzen 7 7840HS2.328.735.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KRyzen 7 7840HS0.23870.47740.71610.95481.19351.061

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS7K14K21K28K35KSE +/- 221.75, N = 3SE +/- 19.89, N = 3SE +/- 28.61, N = 329903.131965.332798.51. (CXX) g++ options: -O3 -march=native -fPIE -pie
MinAvgMaxCore Ultra 7 155H1.735.664.2Ryzen 7 7840U3.531.047.9Ryzen 7 7840HS2.631.935.3OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedRyzen 7 7840HS20040060080010001028.65

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: PistolCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860SE +/- 0.35, N = 3SE +/- 0.53, N = 3SE +/- 0.29, N = 355.4354.3050.061. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.620.325.8Ryzen 7 7840U6.716.517.9Ryzen 7 7840HS2.916.120.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860SE +/- 0.76, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 355.1152.3250.491. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
MinAvgMaxCore Ultra 7 155H1.836.464.3Ryzen 7 7840U3.530.351.0Ryzen 7 7840HS3.030.335.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed Wasmer Compilation 2.3CPU Power Consumption Monitor20406080100

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: MNIST DatasetCore Ultra 7 155HRyzen 7 7840U1326395265SE +/- 0.17, N = 3SE +/- 0.04, N = 355.8155.631. (F9X) gfortran options: -O0
MinAvgMaxCore Ultra 7 155H4.122.026.7Ryzen 7 7840U6.316.019.3OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor816243240

Benchmark: MNIST Dataset

Ryzen 7 7840HS: The test quit with a non-zero exit status. E: ImportError: /lib/x86_64-linux-gnu/liblapack.so.3: undefined symbol: gotoblas

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.71171.42342.13512.84683.5585SE +/- 0.016507, N = 3SE +/- 0.012252, N = 3SE +/- 0.009151, N = 33.1633163.0903163.0955091. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxCore Ultra 7 155H4.834.963.6Ryzen 7 7840U6.631.449.2Ryzen 7 7840HS3.132.135.3OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Ryzen 7 7840HS0.02160.04320.06480.08640.1080.096

Perl Benchmarks

Perl benchmark suite that can be used to compare the relative speed of different versions of perl. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.00040.00080.00120.00160.002SE +/- 0.00002194, N = 3SE +/- 0.00000156, N = 3SE +/- 0.00000219, N = 30.001752590.001827580.00183688
MinAvgMaxCore Ultra 7 155H3.76.68.1Ryzen 7 7840U2.413.614.6Ryzen 7 7840HS3.013.114.5OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor510152025

LuxCoreRender

LuxCoreRender is an open-source 3D physically based renderer formerly known as LuxRender. LuxCoreRender supports CPU-based rendering as well as GPU acceleration via OpenCL, NVIDIA CUDA, and NVIDIA OptiX interfaces. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.05, N = 15SE +/- 0.06, N = 3SE +/- 0.04, N = 37.309.228.91MIN: 6.49 / MAX: 9.32MIN: 8.38 / MAX: 9.87MIN: 8.4 / MAX: 9.04
MinAvgMaxCore Ultra 7 155H1.533.564.2Ryzen 7 7840U3.330.251.0Ryzen 7 7840HS3.028.035.2OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgM samples/sec Per Watt, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPURyzen 7 7840HS0.07180.14360.21540.28720.3590.319

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.74681.49362.24042.98723.734SE +/- 0.027638, N = 3SE +/- 0.032515, N = 3SE +/- 0.003441, N = 33.3191163.1235523.2447591. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxCore Ultra 7 155H4.436.264.8Ryzen 7 7840U6.630.751.0Ryzen 7 7840HS3.132.035.1OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgRender Ratio Per Watt, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Ryzen 7 7840HS0.0230.0460.0690.0920.1150.102

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: Ultra FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS918273645SE +/- 0.37, N = 15SE +/- 0.19, N = 4SE +/- 0.06, N = 428.5136.9437.121. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.532.762.6Ryzen 7 7840U2.730.249.5Ryzen 7 7840HS2.928.135.2OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 7 7840HS0.2970.5940.8911.1881.4851.32

SQLite Speedtest

This is a benchmark of SQLite's speedtest1 benchmark program with an increased problem size of 1,000. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 343.3353.7551.521. (CC) gcc options: -O2 -lz
MinAvgMaxCore Ultra 7 155H4.523.130.2Ryzen 7 7840U3.415.717.5Ryzen 7 7840HS3.015.920.3OpenBenchmarking.orgWatts, Fewer Is BetterSQLite Speedtest 3.30CPU Power Consumption Monitor918273645

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3K6K9K12K15KSE +/- 3.38, N = 3SE +/- 17.52, N = 3SE +/- 158.16, N = 39682.016182.915447.51. (CC) gcc options: -O3
MinAvgMaxCore Ultra 7 155H1.620.826.5Ryzen 7 7840U2.916.621.8Ryzen 7 7840HS2.217.222.1OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor816243240
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedRyzen 7 7840HS2004006008001000897.01

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1632486480SE +/- 0.84, N = 3SE +/- 0.69, N = 3SE +/- 0.57, N = 366.9868.0273.441. (CC) gcc options: -O3

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 512Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS15M30M45M60M75MSE +/- 156292.82, N = 3SE +/- 452215.41, N = 3SE +/- 601365.10, N = 85570866767625667693801251. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H3.835.655.5Ryzen 7 7840U2.228.634.0Ryzen 7 7840HS2.731.135.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1530456075
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 512Ryzen 7 7840HS500K1000K1500K2000K2500K2230407.21

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 8.92, N = 3SE +/- 0.93, N = 3SE +/- 0.26, N = 31194.75410.99388.09
MinAvgMaxCore Ultra 7 155H4.333.764.1Ryzen 7 7840U3.428.751.1Ryzen 7 7840HS1.829.135.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.0476, N = 3SE +/- 0.0267, N = 3SE +/- 0.0125, N = 35.76927.28377.7127

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS816243240SE +/- 0.0618, N = 3SE +/- 0.0116, N = 3SE +/- 0.0273, N = 334.116110.19819.9578
MinAvgMaxCore Ultra 7 155H4.134.064.1Ryzen 7 7840U2.628.551.0Ryzen 7 7840HS2.829.035.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS70140210280350SE +/- 0.35, N = 3SE +/- 0.34, N = 3SE +/- 0.83, N = 3204.79293.52300.49

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 4.45, N = 3SE +/- 0.22, N = 3SE +/- 0.17, N = 31219.60411.60387.44
MinAvgMaxCore Ultra 7 155H4.534.064.0Ryzen 7 7840U2.328.551.1Ryzen 7 7840HS2.929.235.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.0313, N = 3SE +/- 0.0038, N = 3SE +/- 0.0108, N = 35.59067.26517.7185

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1632486480SE +/- 0.50, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 371.8922.4122.13
MinAvgMaxCore Ultra 7 155H4.034.264.0Ryzen 7 7840U2.328.851.0Ryzen 7 7840HS2.428.935.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 0.70, N = 3SE +/- 0.15, N = 3SE +/- 0.46, N = 397.20133.68135.36

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.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS11K22K33K44K55KSE +/- 288.12, N = 3SE +/- 314.25, N = 3SE +/- 71.88, N = 34974150202536251. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.717.131.4Ryzen 7 7840U2.313.720.6Ryzen 7 7840HS2.113.425.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor918273645
OpenBenchmarking.orgGeometric Mean Per Watt, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxRyzen 7 7840HS90018002700360045004009.64

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 4.85, N = 3SE +/- 0.16, N = 3SE +/- 0.97, N = 3990.20230.85226.94
MinAvgMaxCore Ultra 7 155H4.234.964.1Ryzen 7 7840U3.029.550.9Ryzen 7 7840HS2.630.435.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.0147, N = 3SE +/- 0.0105, N = 3SE +/- 0.0555, N = 36.952912.990113.2112

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1020304050SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 343.9343.8440.96
MinAvgMaxCore Ultra 7 155H1.722.235.3Ryzen 7 7840U6.717.424.6Ryzen 7 7840HS3.016.021.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1020304050

Scikit-Learn

Scikit-learn is a Python module for machine learning built on NumPy, SciPy, and is BSD-licensed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: 20 Newsgroups / Logistic RegressionCore Ultra 7 155HRyzen 7 7840U1224364860SE +/- 0.28, N = 3SE +/- 0.06, N = 352.6634.841. (F9X) gfortran options: -O0
MinAvgMaxCore Ultra 7 155H4.334.163.1Ryzen 7 7840U6.928.447.7OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor20406080100

Benchmark: 20 Newsgroups / Logistic Regression

Ryzen 7 7840HS: The test quit with a non-zero exit status. E: ImportError: /lib/x86_64-linux-gnu/liblapack.so.3: undefined symbol: gotoblas

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.0723, N = 3SE +/- 0.0385, N = 3SE +/- 0.0083, N = 37.30207.12846.49351. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxCore Ultra 7 155H4.835.664.1Ryzen 7 7840U3.330.751.3Ryzen 7 7840HS2.830.835.3OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: ThoroughRyzen 7 7840HS0.04750.0950.14250.190.23750.211

PyHPC Benchmarks

PyHPC-Benchmarks is a suite of Python high performance computing benchmarks for execution on CPUs and GPUs using various popular Python HPC libraries. The PyHPC CPU-based benchmarks focus on sequential CPU performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.35260.70521.05781.41041.763SE +/- 0.001, N = 3SE +/- 0.003, N = 3SE +/- 0.001, N = 31.5670.9891.008
MinAvgMaxCore Ultra 7 155H4.022.726.9Ryzen 7 7840U6.419.922.9Ryzen 7 7840HS2.717.121.8OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor816243240

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.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20K40K60K80K100KSE +/- 508.08, N = 3SE +/- 121.64, N = 3SE +/- 194.54, N = 38468987357932021. Core Ultra 7 155H: chrome 120.0.6099.1092. Ryzen 7 7840U: chrome 120.0.6099.1093. Ryzen 7 7840HS: chrome 120.0.6099.216
MinAvgMaxCore Ultra 7 155H1.717.231.3Ryzen 7 7840U2.914.122.4Ryzen 7 7840HS1.915.429.7OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor918273645
OpenBenchmarking.orgGeometric Mean Per Watt, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeRyzen 7 7840HS130026003900520065006043.30

Cryptsetup

This is a test profile for running the cryptsetup benchmark to report on the system's cryptography performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b DecryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS130260390520650SE +/- 14.76, N = 3SE +/- 1.01, N = 3SE +/- 0.15, N = 3529.3553.3601.8
MinAvgMaxCore Ultra 7 155H3.919.529.9Ryzen 7 7840U3.418.532.4Ryzen 7 7840HS2.819.235.0OpenBenchmarking.orgWatts, Fewer Is BetterCryptsetupCPU Power Consumption Monitor1020304050
OpenBenchmarking.orgMiB/s Per Watt, More Is BetterCryptsetupTwofish-XTS 512b DecryptionRyzen 7 7840HS71421283531.34

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b EncryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS130260390520650SE +/- 12.48, N = 3SE +/- 1.02, N = 3SE +/- 0.43, N = 3531.3548.7590.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b DecryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 20.29, N = 3SE +/- 1.62, N = 3SE +/- 0.57, N = 3812.6861.3929.0

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b EncryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 2.02, N = 3SE +/- 2.25, N = 3SE +/- 0.65, N = 3763.7869.4938.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b DecryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS10002000300040005000SE +/- 58.06, N = 3SE +/- 3.52, N = 3SE +/- 4.76, N = 34867.63369.93659.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b EncryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS11002200330044005500SE +/- 136.88, N = 3SE +/- 1.93, N = 3SE +/- 5.68, N = 34982.83374.03660.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b DecryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS130260390520650SE +/- 12.70, N = 3SE +/- 0.87, N = 3SE +/- 0.32, N = 3533.2553.3601.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b EncryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS130260390520650SE +/- 13.59, N = 3SE +/- 2.90, N = 3SE +/- 3.56, N = 3528.0546.1587.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b DecryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 16.67, N = 3SE +/- 2.73, N = 3SE +/- 0.50, N = 3814.7859.2929.0

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b EncryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS2004006008001000SE +/- 12.60, N = 3SE +/- 6.26, N = 3SE +/- 4.62, N = 3780.7863.9933.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b DecryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS11002200330044005500SE +/- 70.67, N = 3SE +/- 5.84, N = 3SE +/- 8.33, N = 35297.73659.93977.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b EncryptionCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS12002400360048006000SE +/- 148.02, N = 3SE +/- 12.28, N = 3SE +/- 17.03, N = 35462.13667.63971.3

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS200K400K600K800K1000KSE +/- 20453.44, N = 3SE +/- 1834.16, N = 3SE +/- 1007.77, N = 3939335895206956731

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS600K1200K1800K2400K3000KSE +/- 8245.18, N = 3SE +/- 8161.04, N = 3SE +/- 6492.32, N = 3218687326116972803709

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 1.03, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 3127.0046.3044.92
MinAvgMaxCore Ultra 7 155H4.035.064.0Ryzen 7 7840U3.029.751.0Ryzen 7 7840HS3.129.835.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1530456075SE +/- 0.43, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 355.0164.7566.73

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3K6K9K12K15KSE +/- 152.53, N = 3SE +/- 7.63, N = 3SE +/- 4.32, N = 312780.787551.209266.271. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
MinAvgMaxCore Ultra 7 155H1.836.364.1Ryzen 7 7840U3.327.330.2Ryzen 7 7840HS2.131.134.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BRyzen 7 7840HS60120180240300298.05

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS918273645SE +/- 0.18, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 338.8739.4536.85
MinAvgMaxCore Ultra 7 155H1.520.526.2Ryzen 7 7840U6.916.821.7Ryzen 7 7840HS3.015.719.5OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor816243240

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS918273645SE +/- 0.09, N = 3SE +/- 0.10, N = 3SE +/- 0.01, N = 341.0837.8135.321. git version 2.40.1
MinAvgMaxCore Ultra 7 155H1.621.026.5Ryzen 7 7840U3.315.417.8Ryzen 7 7840HS2.414.818.8OpenBenchmarking.orgWatts, Fewer Is BetterGitCPU Power Consumption Monitor816243240

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.81, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 392.6932.0030.71
MinAvgMaxRyzen 7 7840U3.630.351.0Core Ultra 7 155H4.335.464.0Ryzen 7 7840HS3.330.535.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.69, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 375.3793.6897.60

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 0.60, N = 3SE +/- 0.28, N = 3SE +/- 0.10, N = 3188.6168.7064.66
MinAvgMaxCore Ultra 7 155H4.335.564.1Ryzen 7 7840U3.330.251.1Ryzen 7 7840HS2.130.335.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1122334455SE +/- 0.08, N = 3SE +/- 0.18, N = 3SE +/- 0.07, N = 336.9643.6346.35

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 0.41, N = 3SE +/- 0.16, N = 3SE +/- 0.13, N = 3185.7767.4663.44
MinAvgMaxCore Ultra 7 155H4.335.364.1Ryzen 7 7840U3.330.251.0Ryzen 7 7840HS3.030.335.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1122334455SE +/- 0.08, N = 3SE +/- 0.11, N = 3SE +/- 0.09, N = 337.5644.4447.25

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.98, N = 3SE +/- 0.08, N = 3SE +/- 0.33, N = 392.3032.0731.17

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.76, N = 3SE +/- 0.23, N = 3SE +/- 1.02, N = 375.7193.4696.19

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 ChromeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS80160240320400SE +/- 4.41, N = 3SE +/- 3.18, N = 3SE +/- 2.65, N = 33313543351. Core Ultra 7 155H: chrome 120.0.6099.1092. Ryzen 7 7840U: chrome 120.0.6099.1093. Ryzen 7 7840HS: chrome 120.0.6099.216
MinAvgMaxCore Ultra 7 155H1.812.425.6Ryzen 7 7840U3.213.023.2Ryzen 7 7840HS2.210.319.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240
OpenBenchmarking.orgRuns Per Minute Per Watt, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeRyzen 7 7840HS81624324032.61

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.1010, N = 3SE +/- 0.0053, N = 3SE +/- 0.0154, N = 311.99274.08913.9812
MinAvgMaxCore Ultra 7 155H4.435.464.1Ryzen 7 7840U3.230.550.5Ryzen 7 7840HS3.130.635.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS160320480640800SE +/- 5.01, N = 3SE +/- 0.80, N = 3SE +/- 2.94, N = 3582.50730.01749.16

ASKAP

ASKAP is a set of benchmarks from the Australian SKA Pathfinder. The principal ASKAP benchmarks are the Hogbom Clean Benchmark (tHogbomClean) and Convolutional Resamping Benchmark (tConvolve) as well as some previous ASKAP benchmarks being included as well for OpenCL and CUDA execution of tConvolve. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS90180270360450SE +/- 5.52, N = 3SE +/- 4.06, N = 14SE +/- 0.48, N = 4393.85239.65287.361. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
MinAvgMaxCore Ultra 7 155H4.624.763.8Ryzen 7 7840U2.620.043.0Ryzen 7 7840HS2.617.635.1OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgIterations Per Second Per Watt, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPRyzen 7 7840HS4812162016.34

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1122334455SE +/- 0.69, N = 15SE +/- 0.25, N = 4SE +/- 0.07, N = 444.4344.3147.161. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxCore Ultra 7 155H1.532.764.2Ryzen 7 7840U3.327.950.5Ryzen 7 7840HS2.526.635.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KRyzen 7 7840HS0.39940.79881.19821.59761.9971.775

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1020304050SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.25, N = 343.2734.3432.79
MinAvgMaxCore Ultra 7 155H1.528.754.9Ryzen 7 7840U6.919.835.5Ryzen 7 7840HS2.717.930.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1530456075

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS70M140M210M280M350MSE +/- 3363877.23, N = 5SE +/- 711781.80, N = 3SE +/- 2924615.83, N = 33277600003399700003480766671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H3.835.764.1Ryzen 7 7840U3.730.946.4Ryzen 7 7840HS2.631.035.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 32Ryzen 7 7840HS2M4M6M8M10M11218722.76

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: raytraceCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 0.33, N = 3SE +/- 0.67, N = 3SE +/- 0.58, N = 3183175163
MinAvgMaxCore Ultra 7 155H1.619.026.3Ryzen 7 7840U1.914.716.9Ryzen 7 7840HS2.316.219.9OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor816243240

Inkscape

Inkscape is an open-source vector graphics editor. This test profile times how long it takes to complete various operations by Inkscape. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 0.25, N = 3SE +/- 0.10, N = 3SE +/- 0.23, N = 628.9324.5924.791. Inkscape 1.2.2 (b0a8486541, 2022-12-01)
MinAvgMaxCore Ultra 7 155H1.714.919.7Ryzen 7 7840U6.815.417.6Ryzen 7 7840HS2.315.518.9OpenBenchmarking.orgWatts, Fewer Is BetterInkscapeCPU Power Consumption Monitor612182430

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.14, N = 15SE +/- 0.07, N = 4SE +/- 0.04, N = 413.7911.6813.04
MinAvgMaxCore Ultra 7 155H4.434.065.5Ryzen 7 7840U6.728.651.2Ryzen 7 7840HS3.123.835.2OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

Z3 Theorem Prover

The Z3 Theorem Prover / SMT solver is developed by Microsoft Research under the MIT license. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 1.smt2Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS714212835SE +/- 0.22, N = 6SE +/- 0.01, N = 3SE +/- 0.30, N = 322.7526.9029.131. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
MinAvgMaxCore Ultra 7 155H1.520.929.6Ryzen 7 7840U2.513.815.9Ryzen 7 7840HS1.611.514.0OpenBenchmarking.orgWatts, Fewer Is BetterZ3 Theorem Prover 4.12.1CPU Power Consumption Monitor918273645

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: FirefoxCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS5001000150020002500SE +/- 4.84, N = 3SE +/- 2.00, N = 3SE +/- 3.28, N = 32557238124461. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.912.442.3Ryzen 7 7840U2.213.135.8Ryzen 7 7840HS1.99.929.1OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1224364860

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 39.517.147.131. Core Ultra 7 155H: chrome 120.0.6099.1092. Ryzen 7 7840U: chrome 120.0.6099.1093. Ryzen 7 7840HS: chrome 120.0.6099.216
MinAvgMaxCore Ultra 7 155H1.715.127.4Ryzen 7 7840U2.512.720.3Ryzen 7 7840HS2.113.228.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor918273645

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 1.98, N = 15SE +/- 1.69, N = 15SE +/- 0.11, N = 692.8787.92105.871. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.632.964.1Ryzen 7 7840U2.725.650.0Ryzen 7 7840HS3.220.635.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KRyzen 7 7840HS1.15582.31163.46744.62325.7795.137

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: crypto_pyaesCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1122334455SE +/- 0.26, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 347.245.542.4
MinAvgMaxCore Ultra 7 155H1.520.326.5Ryzen 7 7840U3.214.916.8Ryzen 7 7840HS2.317.520.9OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor816243240

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 ChromeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS6001200180024003000SE +/- 19.22, N = 3SE +/- 3.84, N = 3SE +/- 5.55, N = 32723248024521. Core Ultra 7 155H: chrome 120.0.6099.1092. Ryzen 7 7840U: chrome 120.0.6099.1093. Ryzen 7 7840HS: chrome 120.0.6099.216
MinAvgMaxCore Ultra 7 155H1.811.829.4Ryzen 7 7840U3.413.621.6Ryzen 7 7840HS2.311.223.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor918273645

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1224364860SE +/- 0.19, N = 3SE +/- 0.46, N = 3SE +/- 0.21, N = 327.7048.7252.34MIN: 8.98 / MAX: 33.15MIN: 41.49 / MAX: 51.3MIN: 46.26 / MAX: 53.17
MinAvgMaxCore Ultra 7 155H4.534.762.8Ryzen 7 7840U3.429.045.9Ryzen 7 7840HS3.428.635.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgbatches/sec Per Watt, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Ryzen 7 7840HS0.41220.82441.23661.64882.0611.832

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265SE +/- 0.66, N = 15SE +/- 0.18, N = 4SE +/- 0.03, N = 559.0453.3558.521. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxCore Ultra 7 155H1.533.463.9Ryzen 7 7840U3.027.649.9Ryzen 7 7840HS2.424.835.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KRyzen 7 7840HS0.53061.06121.59182.12242.6532.358

OCRMyPDF

OCRMyPDF is an optical character recognition (OCR) text layer to scanned PDF files, producing new PDFs with the text now selectable/searchable/copy-paste capable. OCRMyPDF leverages the Tesseract OCR engine and is written in Python. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 14.0.1+dfsg1Processing 60 Page PDF DocumentCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.09, N = 15SE +/- 0.05, N = 5SE +/- 0.05, N = 510.8511.4511.34
MinAvgMaxCore Ultra 7 155H1.434.264.3Ryzen 7 7840HS2.224.835.2OpenBenchmarking.orgWatts, Fewer Is BetterOCRMyPDF 14.0.1+dfsg1CPU Power Consumption Monitor20406080100

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4K8K12K16K20KSE +/- 18.72, N = 3SE +/- 97.81, N = 3SE +/- 56.24, N = 310102.016757.215866.61. (CC) gcc options: -O3
MinAvgMaxCore Ultra 7 155H1.718.722.8Ryzen 7 7840U2.717.421.8Ryzen 7 7840HS1.715.619.3OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor612182430
OpenBenchmarking.orgMB/s Per Watt, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedRyzen 7 7840HS20040060080010001018.27

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3K6K9K12K15KSE +/- 9.57, N = 3SE +/- 62.96, N = 3SE +/- 37.73, N = 39126.5414693.9214491.121. (CC) gcc options: -O3

Aircrack-ng

Aircrack-ng is a tool for assessing WiFi/WLAN network security. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS9K18K27K36K45KSE +/- 104.27, N = 3SE +/- 211.65, N = 3SE +/- 11.84, N = 329616.4939922.9036348.241. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
MinAvgMaxCore Ultra 7 155H4.438.864.1Ryzen 7 7840U2.231.051.0Ryzen 7 7840HS3.231.035.1OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.7CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgk/s Per Watt, More Is BetterAircrack-ng 1.7Ryzen 7 7840HS300600900120015001170.68

Liquid-DSP

LiquidSDR's Liquid-DSP is a software-defined radio (SDR) digital signal processing library. This test profile runs a multi-threaded benchmark of this SDR/DSP library focused on embedded platform usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 512Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS40M80M120M160M200MSE +/- 1542533.99, N = 3SE +/- 623065.90, N = 3SE +/- 223681.32, N = 31105333331600333331645300001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.236.564.1Ryzen 7 7840U3.231.350.9Ryzen 7 7840HS3.031.135.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 512Ryzen 7 7840HS1.1M2.2M3.3M4.4M5.5M5298558.00

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 512Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30M60M90M120M150MSE +/- 550345.75, N = 3SE +/- 224524.19, N = 3SE +/- 407035.35, N = 3816613331207933331235166671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.336.464.0Ryzen 7 7840U3.431.250.9Ryzen 7 7840HS3.131.035.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 512Ryzen 7 7840HS900K1800K2700K3600K4500K3980618.74

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 512Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS8M16M24M32M40MSE +/- 35950.58, N = 3SE +/- 419081.14, N = 3SE +/- 203699.40, N = 33030566733822000370033331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.129.636.5Ryzen 7 7840U3.018.621.7Ryzen 7 7840HS2.724.028.2OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 512Ryzen 7 7840HS300K600K900K1200K1500K1544874.04

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20M40M60M80M100MSE +/- 737119.02, N = 3SE +/- 86227.09, N = 3SE +/- 80387.26, N = 311101666792045667985723331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H3.929.535.8Ryzen 7 7840U2.716.619.0Ryzen 7 7840HS2.420.323.6OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 32Ryzen 7 7840HS1000K2000K3000K4000K5000K4858380.35

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS12M24M36M48M60MSE +/- 55480.73, N = 3SE +/- 31476.62, N = 3SE +/- 2728.45, N = 35653033346273667494196671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.218.421.9Ryzen 7 7840U3.112.313.8Ryzen 7 7840HS2.811.213.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor612182430
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32Ryzen 7 7840HS900K1800K2700K3600K4500K4415833.17

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS40M80M120M160M200MSE +/- 1729723.81, N = 3SE +/- 394010.72, N = 3SE +/- 207926.27, N = 32012066671811533331894400001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.436.352.4Ryzen 7 7840U2.924.728.5Ryzen 7 7840HS2.830.835.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1530456075
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 32Ryzen 7 7840HS1.3M2.6M3.9M5.2M6.5M6157772.99

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4M8M12M16M20MSE +/- 127987.41, N = 3SE +/- 93724.77, N = 3SE +/- 162284.73, N = 31608466717273000182340001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.018.827.4Ryzen 7 7840U3.613.515.3Ryzen 7 7840HS3.213.115.6OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor816243240
OpenBenchmarking.orgsamples/s Per Watt, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512Ryzen 7 7840HS300K600K900K1200K1500K1386946.86

SVT-VP9

This is a test of the Intel Open Visual Cloud Scalable Video Technology SVT-VP9 CPU-based multi-threaded video encoder for the VP9 video format with a sample YUV input video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265SE +/- 0.78, N = 15SE +/- 0.11, N = 4SE +/- 0.65, N = 459.4450.7154.521. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxCore Ultra 7 155H1.534.563.8Ryzen 7 7840U3.028.050.2Ryzen 7 7840HS1.925.335.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KRyzen 7 7840HS0.48440.96881.45321.93762.4222.153

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: FirefoxCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.16, N = 15SE +/- 0.04, N = 5SE +/- 0.11, N = 422.520.719.51. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.67.720.5Ryzen 7 7840U3.28.920.6Ryzen 7 7840HS2.06.916.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 1.51Text-To-Speech SynthesisCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.10, N = 4SE +/- 0.14, N = 4SE +/- 0.12, N = 421.3722.4320.811. (CXX) g++ options: -O2
MinAvgMaxCore Ultra 7 155H1.417.423.1Ryzen 7 7840U2.914.217.5Ryzen 7 7840HS2.713.720.2OpenBenchmarking.orgWatts, Fewer Is BettereSpeak-NG Speech Engine 1.51CPU Power Consumption Monitor816243240

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_compileCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 387.171.065.9
MinAvgMaxCore Ultra 7 155H1.520.726.5Ryzen 7 7840U2.715.017.1Ryzen 7 7840HS2.816.320.7OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor816243240

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1530456075SE +/- 0.33, N = 15SE +/- 0.18, N = 5SE +/- 0.53, N = 555.1566.9065.431. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.534.261.5Ryzen 7 7840U2.628.249.7Ryzen 7 7840HS2.824.735.0OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betterx265 3.4Video Input: Bosphorus 1080pRyzen 7 7840HS0.59631.19261.78892.38522.98152.65

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 SuiteCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS300K600K900K1200K1500KSE +/- 15483.82, N = 4SE +/- 9948.35, N = 7SE +/- 12295.47, N = 3125827310750141172202
MinAvgMaxCore Ultra 7 155H1.418.125.3Ryzen 7 7840U2.613.316.2Ryzen 7 7840HS2.615.119.6OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor816243240
OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteRyzen 7 7840HS20K40K60K80K100K77826.58

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS612182430SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 326.5727.2925.86
MinAvgMaxCore Ultra 7 155H1.522.936.8Ryzen 7 7840U6.617.826.6Ryzen 7 7840HS2.815.820.9OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1020304050

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 0.44, N = 3SE +/- 0.51, N = 3SE +/- 0.22, N = 3155.76161.02145.301. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxCore Ultra 7 155H4.737.364.1Ryzen 7 7840U3.229.751.2Ryzen 7 7840HS3.028.935.2OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: FastRyzen 7 7840HS1.12952.2593.38854.5185.64755.02

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.09, N = 9SE +/- 0.06, N = 4SE +/- 0.01, N = 410.8613.7013.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.534.762.9Ryzen 7 7840U3.228.650.5Ryzen 7 7840HS3.026.135.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 1080pRyzen 7 7840HS0.1170.2340.3510.4680.5850.52

Java SciMark

This test runs the Java version of SciMark 2, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This benchmark is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: CompositeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS11002200330044005500SE +/- 18.44, N = 3SE +/- 55.57, N = 3SE +/- 16.98, N = 33708.794844.325131.67
MinAvgMaxCore Ultra 7 155H1.618.434.1Ryzen 7 7840U3.215.623.3Ryzen 7 7840HS2.116.328.2OpenBenchmarking.orgWatts, Fewer Is BetterJava SciMark 2.2CPU Power Consumption Monitor1020304050
OpenBenchmarking.orgMflops Per Watt, More Is BetterJava SciMark 2.2Computational Test: CompositeRyzen 7 7840HS70140210280350314.49

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 1080p - Video Preset: Very FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.68, N = 15SE +/- 0.35, N = 6SE +/- 0.19, N = 663.5883.4478.75
MinAvgMaxCore Ultra 7 155H1.633.663.1Ryzen 7 7840U3.027.650.9Ryzen 7 7840HS3.023.835.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 7 7840HS0.74591.49182.23772.98363.72953.315

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: Leonardo Phone Case SlimCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.15, N = 3SE +/- 0.04, N = 4SE +/- 0.14, N = 717.3416.6515.561. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.618.626.5Ryzen 7 7840U6.715.518.0Ryzen 7 7840HS2.914.118.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

libjpeg-turbo tjbench

tjbench is a JPEG decompression/compression benchmark that is part of libjpeg-turbo, a JPEG image codec library optimized for SIMD instructions on modern CPU architectures. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS70140210280350SE +/- 1.84, N = 3SE +/- 0.68, N = 3SE +/- 0.09, N = 3246.93277.11299.791. (CC) gcc options: -O3 -rdynamic
MinAvgMaxCore Ultra 7 155H4.119.124.8Ryzen 7 7840U2.814.816.9Ryzen 7 7840HS2.516.619.4OpenBenchmarking.orgWatts, Fewer Is Betterlibjpeg-turbo tjbench 2.1.0CPU Power Consumption Monitor816243240
OpenBenchmarking.orgMegapixels/sec Per Watt, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputRyzen 7 7840HS4812162018.08

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS30060090012001500SE +/- 11.09, N = 15SE +/- 10.61, N = 6SE +/- 12.20, N = 61021.421286.441253.901. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
MinAvgMaxCore Ultra 7 155H1.534.264.0Ryzen 7 7840U2.926.250.9Ryzen 7 7840HS2.222.035.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgTotal Mop/s Per Watt, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CRyzen 7 7840HS132639526557.05

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 CaseCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS612182430SE +/- 0.25, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 326.0225.3023.231. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.419.726.0Ryzen 7 7840U6.616.218.1Ryzen 7 7840HS2.816.520.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

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 1080p - Video Preset: Super FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.69, N = 15SE +/- 0.64, N = 6SE +/- 0.11, N = 669.7490.1184.69
MinAvgMaxCore Ultra 7 155H1.634.363.4Ryzen 7 7840U3.227.450.9Ryzen 7 7840HS2.923.135.4OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 7 7840HS0.82331.64662.46993.29324.11653.659

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 6.26, N = 12SE +/- 0.54, N = 6SE +/- 0.10, N = 685.5991.52105.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.630.063.8Ryzen 7 7840U3.325.450.6Ryzen 7 7840HS2.820.935.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KRyzen 7 7840HS1.14212.28423.42634.56845.71055.076

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 1.34, N = 15SE +/- 0.42, N = 6SE +/- 0.15, N = 675.7095.3492.041. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.533.462.5Ryzen 7 7840U2.926.150.4Ryzen 7 7840HS2.822.235.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 1080pRyzen 7 7840HS0.93351.8672.80053.7344.66754.149

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 1080p - Video Preset: Very FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.57, N = 15SE +/- 0.44, N = 7SE +/- 0.18, N = 673.9597.5592.141. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.234.161.8Ryzen 7 7840U3.026.950.1Ryzen 7 7840HS2.622.735.0OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 7 7840HS0.91511.83022.74533.66044.57554.067

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC audio format ten times using the --best preset settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.05, N = 5SE +/- 0.02, N = 5SE +/- 0.01, N = 514.6813.4312.671. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
MinAvgMaxCore Ultra 7 155H1.416.823.6Ryzen 7 7840U2.613.817.4Ryzen 7 7840HS3.014.419.5OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.4CPU Power Consumption Monitor816243240

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS612182430SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 321.8923.3322.03
MinAvgMaxCore Ultra 7 155H1.519.726.3Ryzen 7 7840U6.716.622.2Ryzen 7 7840HS2.814.619.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor816243240

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_loadsCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.07, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 312.011.810.9
MinAvgMaxCore Ultra 7 155H1.418.924.8Ryzen 7 7840U1.914.016.3Ryzen 7 7840HS1.815.619.4OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor816243240

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 321.7821.8420.75
MinAvgMaxCore Ultra 7 155H1.622.230.3Ryzen 7 7840U6.817.724.7Ryzen 7 7840HS2.715.221.4OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor918273645

R Benchmark

This test is a quick-running survey of general R performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterR BenchmarkCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.03320.06640.09960.13280.166SE +/- 0.0006, N = 3SE +/- 0.0006, N = 3SE +/- 0.0003, N = 30.14740.13680.1291
MinAvgMaxCore Ultra 7 155H1.423.049.3Ryzen 7 7840U6.817.943.4Ryzen 7 7840HS2.214.429.1OpenBenchmarking.orgWatts, Fewer Is BetterR BenchmarkCPU Power Consumption Monitor1428425670

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 1080p - Video Preset: Ultra FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS20406080100SE +/- 0.95, N = 15SE +/- 0.68, N = 7SE +/- 0.22, N = 785.38108.96101.46
MinAvgMaxCore Ultra 7 155H1.734.163.5Ryzen 7 7840U3.226.650.9Ryzen 7 7840HS2.322.135.2OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 7 7840HS1.03482.06963.10444.13925.1744.599

QuantLib

QuantLib is an open-source library/framework around quantitative finance for modeling, trading and risk management scenarios. QuantLib is written in C++ with Boost and its built-in benchmark used reports the QuantLib Benchmark Index benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Single-ThreadedCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS9001800270036004500SE +/- 42.67, N = 3SE +/- 9.89, N = 3SE +/- 16.11, N = 34224.53967.44282.61. (CXX) g++ options: -O3 -march=native -fPIE -pie
MinAvgMaxCore Ultra 7 155H1.616.326.2Ryzen 7 7840U3.014.217.0Ryzen 7 7840HS2.114.518.3OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor816243240
OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterQuantLib 1.32Configuration: Single-ThreadedRyzen 7 7840HS60120180240300294.83

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: resizeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.08, N = 3SE +/- 0.13, N = 6SE +/- 0.02, N = 419.0213.0112.50
MinAvgMaxCore Ultra 7 155H4.629.751.6Ryzen 7 7840HS2.818.130.4OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor1530456075

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 TimesCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS130260390520650SE +/- 5.62, N = 6SE +/- 2.47, N = 4SE +/- 1.29, N = 4552590546
MinAvgMaxCore Ultra 7 155H1.517.328.2Ryzen 7 7840U2.513.017.2Ryzen 7 7840HS2.813.918.6OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor918273645

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.04, N = 4SE +/- 0.05, N = 4SE +/- 0.03, N = 414.9315.1414.151. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxCore Ultra 7 155H4.516.523.9Ryzen 7 7840U6.714.516.9Ryzen 7 7840HS3.013.517.9OpenBenchmarking.orgWatts, Fewer Is BetterRNNoise 2020-06-28CPU Power Consumption Monitor816243240

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.88881.77762.66643.55524.444SE +/- 0.04, N = 15SE +/- 0.02, N = 6SE +/- 0.01, N = 63.953.783.581. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxCore Ultra 7 155H1.634.264.2Ryzen 7 7840U2.927.151.0Ryzen 7 7840HS2.222.435.0OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5Ryzen 7 7840HS0.0360.0720.1080.1440.180.16

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 1080p - Video Preset: Super FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS306090120150SE +/- 0.88, N = 15SE +/- 0.64, N = 8SE +/- 0.05, N = 793.63127.06117.831. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.633.561.9Ryzen 7 7840U3.226.150.1Ryzen 7 7840HS1.520.635.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 7 7840HS1.28452.5693.85355.1386.42255.709

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: FirefoxCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS60120180240300SE +/- 1.41, N = 4SE +/- 0.52, N = 3SE +/- 1.14, N = 3275.4286.3268.01. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.611.724.6Ryzen 7 7840U2.910.920.9Ryzen 7 7840HS2.19.419.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

Unpacking Firefox

This simple test profile measures how long it takes to extract the .tar.xz source package of the Mozilla Firefox Web Browser. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.05, N = 4SE +/- 0.03, N = 4SE +/- 0.05, N = 414.2214.0713.17
MinAvgMaxCore Ultra 7 155H1.821.835.3Ryzen 7 7840U3.015.725.1Ryzen 7 7840HS2.617.129.2OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking Firefox 84.0CPU Power Consumption Monitor1020304050

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: unsharp-maskCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.03, N = 3SE +/- 0.02, N = 4SE +/- 0.03, N = 416.0714.4914.15
MinAvgMaxCore Ultra 7 155H4.423.832.8Ryzen 7 7840HS2.816.022.2OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor1020304050

Helsing

Helsing is an open-source POSIX vampire number generator. This test profile measures the time it takes to generate vampire numbers between varying numbers of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 12 digitCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.061, N = 15SE +/- 0.036, N = 7SE +/- 0.006, N = 76.0175.1525.0231. (CC) gcc options: -O2 -pthread
MinAvgMaxCore Ultra 7 155H3.835.364.4Ryzen 7 7840U3.226.451.0Ryzen 7 7840HS2.620.635.0OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor20406080100

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, LosslessCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.095, N = 6SE +/- 0.044, N = 5SE +/- 0.017, N = 59.66910.29610.2521. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H4.234.164.3Ryzen 7 7840U3.025.751.0Ryzen 7 7840HS3.122.935.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

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 ChromeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS100200300400500SE +/- 1.04, N = 3SE +/- 2.58, N = 3SE +/- 1.86, N = 3458.7397.1400.21. Core Ultra 7 155H: chrome 120.0.6099.1092. Ryzen 7 7840U: chrome 120.0.6099.1093. Ryzen 7 7840HS: chrome 120.0.6099.216
MinAvgMaxCore Ultra 7 155H1.610.123.7Ryzen 7 7840U2.710.221.0Ryzen 7 7840HS2.07.818.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

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-levelsCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS48121620SE +/- 0.01, N = 4SE +/- 0.04, N = 4SE +/- 0.02, N = 414.0012.9712.59
MinAvgMaxCore Ultra 7 155H4.620.629.3Ryzen 7 7840HS3.115.421.0OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor918273645

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 ChromeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS60120180240300SE +/- 0.44, N = 5SE +/- 0.60, N = 4SE +/- 0.22, N = 4217.12252.10237.221. Core Ultra 7 155H: chrome 120.0.6099.1092. Ryzen 7 7840U: chrome 120.0.6099.1093. Ryzen 7 7840HS: chrome 120.0.6099.216
MinAvgMaxCore Ultra 7 155H1.810.326.6Ryzen 7 7840U2.99.716.2Ryzen 7 7840HS1.98.317.0OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

ASTC Encoder

ASTC Encoder (astcenc) is for the Adaptive Scalable Texture Compression (ASTC) format commonly used with OpenGL, OpenGL ES, and Vulkan graphics APIs. This test profile does a coding test of both compression/decompression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1326395265SE +/- 0.15, N = 4SE +/- 0.08, N = 4SE +/- 0.03, N = 456.7957.2651.701. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxCore Ultra 7 155H4.135.664.1Ryzen 7 7840U3.126.851.0Ryzen 7 7840HS3.024.335.2OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMT/s Per Watt, More Is BetterASTC Encoder 4.0Preset: MediumRyzen 7 7840HS0.47810.95621.43431.91242.39052.125

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: rotateCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS3691215SE +/- 0.06, N = 4SE +/- 0.01, N = 4SE +/- 0.01, N = 413.1812.4111.90
MinAvgMaxCore Ultra 7 155H4.017.624.6Ryzen 7 7840HS2.714.019.0OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor816243240

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.066, N = 7SE +/- 0.047, N = 6SE +/- 0.014, N = 67.1326.9547.440
MinAvgMaxCore Ultra 7 155H3.934.964.3Ryzen 7 7840U3.627.651.2Ryzen 7 7840HS2.522.135.4OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

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 1080p - Video Preset: Ultra FastCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4080120160200SE +/- 1.29, N = 15SE +/- 0.38, N = 9SE +/- 0.14, N = 8136.56174.71160.391. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.532.762.9Ryzen 7 7840U2.324.850.6Ryzen 7 7840HS2.018.435.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 7 7840HS2468108.703

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.041, N = 7SE +/- 0.037, N = 6SE +/- 0.003, N = 66.3586.7266.9771. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H3.634.864.4Ryzen 7 7840U3.626.051.0Ryzen 7 7840HS3.121.735.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

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 ChromeCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS510152025SE +/- 0.18, N = 6SE +/- 0.02, N = 6SE +/- 0.07, N = 620.3419.1017.831. Core Ultra 7 155H: chrome 120.0.6099.1092. Ryzen 7 7840U: chrome 120.0.6099.1093. Ryzen 7 7840HS: chrome 120.0.6099.216
MinAvgMaxCore Ultra 7 155H1.75.517.0Ryzen 7 7840U3.37.316.0Ryzen 7 7840HS2.15.513.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor510152025

GNU Octave Benchmark

This test profile measures how long it takes to complete several reference GNU Octave files via octave-benchmark. GNU Octave is used for numerical computations and is an open-source alternative to MATLAB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 8.3.0Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.035, N = 5SE +/- 0.020, N = 6SE +/- 0.028, N = 78.5226.5426.189
MinAvgMaxCore Ultra 7 155H1.415.729.1Ryzen 7 7840HS2.211.518.7OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave Benchmark 8.3.0CPU Power Consumption Monitor918273645

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: Boat - Acceleration: CPU-onlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.061, N = 6SE +/- 0.032, N = 6SE +/- 0.020, N = 66.1275.6165.758
MinAvgMaxCore Ultra 7 155H4.433.164.0Ryzen 7 7840HS3.019.335.0OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor20406080100

GEGL

GEGL is the Generic Graphics Library and is the library/framework used by GIMP and other applications like GNOME Photos. This test profile times how long it takes to complete various GEGL operations on a static set of sample JPEG images. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1.3412.6824.0235.3646.705SE +/- 0.013, N = 7SE +/- 0.007, N = 7SE +/- 0.016, N = 75.9605.5225.528
MinAvgMaxCore Ultra 7 155H1.418.532.0Ryzen 7 7840U6.717.326.3Ryzen 7 7840HS1.912.821.1OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor918273645

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.030, N = 6SE +/- 0.007, N = 8SE +/- 0.012, N = 86.4964.6734.766
MinAvgMaxCore Ultra 7 155H1.022.738.6Ryzen 7 7840U6.820.032.8Ryzen 7 7840HS2.715.628.5OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1122334455

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Core Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1.29742.59483.89225.18966.487SE +/- 0.042, N = 7SE +/- 0.012, N = 7SE +/- 0.012, N = 75.7665.3815.068-lncurses-lncurses1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
MinAvgMaxCore Ultra 7 155H1.413.122.2Ryzen 7 7840U2.611.217.2Ryzen 7 7840HS2.911.218.8OpenBenchmarking.orgWatts, Fewer Is BetterLAME MP3 Encoding 3.100CPU Power Consumption Monitor612182430

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: Masskrug - Acceleration: CPU-onlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.81741.63482.45223.26964.087SE +/- 0.019, N = 8SE +/- 0.005, N = 8SE +/- 0.006, N = 73.5383.5633.633
MinAvgMaxCore Ultra 7 155H4.622.957.5Ryzen 7 7840HS3.016.435.0OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor1632486480

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 10, LosslessCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1.15832.31663.47494.63325.7915SE +/- 0.039, N = 7SE +/- 0.012, N = 7SE +/- 0.013, N = 75.1484.9714.9381. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H4.524.563.8Ryzen 7 7840U2.919.451.0Ryzen 7 7840HS2.815.835.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

Unpacking The Linux Kernel

This test measures how long it takes to extract the .tar.xz Linux kernel source tree package. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS1.17142.34283.51424.68565.857SE +/- 0.032, N = 7SE +/- 0.010, N = 7SE +/- 0.011, N = 75.2064.6504.376
MinAvgMaxCore Ultra 7 155H1.615.527.9Ryzen 7 7840U2.612.920.7Ryzen 7 7840HS1.912.924.1OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking The Linux Kernel 5.19CPU Power Consumption Monitor918273645

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 SwivelCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.96011.92022.88033.84044.8005SE +/- 0.025, N = 8SE +/- 0.026, N = 8SE +/- 0.017, N = 84.2674.2383.9331. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.413.326.1Ryzen 7 7840U6.512.418.1Ryzen 7 7840HS2.910.219.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

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-onlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.6231.2461.8692.4923.115SE +/- 0.018, N = 8SE +/- 0.003, N = 8SE +/- 0.005, N = 82.7692.7612.634
MinAvgMaxCore Ultra 7 155H4.220.957.9Ryzen 7 7840HS3.014.435.0OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor1632486480

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS246810SE +/- 0.03, N = 9SE +/- 0.02, N = 9SE +/- 0.02, N = 98.228.427.721. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxCore Ultra 7 155H1.625.764.2Ryzen 7 7840U2.921.551.2Ryzen 7 7840HS1.715.935.0OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgMP/s Per Watt, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultRyzen 7 7840HS0.10910.21820.32730.43640.54550.485

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: Retro CarCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.54811.09621.64432.19242.7405SE +/- 0.017, N = 10SE +/- 0.003, N = 10SE +/- 0.013, N = 102.4362.4242.2851. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.49.926.0Ryzen 7 7840U6.510.817.9Ryzen 7 7840HS2.68.019.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS90180270360450SE +/- 0.87, N = 11SE +/- 0.49, N = 11SE +/- 0.37, N = 11361.55415.64393.691. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.618.762.6Ryzen 7 7840U2.515.950.5Ryzen 7 7840HS1.612.034.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 1080pRyzen 7 7840HS81624324032.68

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS110220330440550SE +/- 1.57, N = 11SE +/- 0.65, N = 11SE +/- 0.81, N = 11458.37503.21485.251. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.615.962.5Ryzen 7 7840U3.214.350.6Ryzen 7 7840HS2.511.034.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100
OpenBenchmarking.orgFrames Per Second Per Watt, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 1080pRyzen 7 7840HS102030405044.04

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-onlyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS0.0920.1840.2760.3680.46SE +/- 0.009, N = 15SE +/- 0.001, N = 13SE +/- 0.001, N = 120.4090.3490.356
MinAvgMaxCore Ultra 7 155H3.410.835.4Ryzen 7 7840HS2.67.322.2OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor1020304050

Java SciMark

OpenBenchmarking.orgMflops Per Watt, More Is BetterJava SciMark 2.2Computational Test: Jacobi Successive Over-RelaxationRyzen 7 7840HS20040060080010001010.78

OpenBenchmarking.orgMflops Per Watt, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix MultiplyRyzen 7 7840HS300600900120015001466.62

OpenBenchmarking.orgMflops Per Watt, More Is BetterJava SciMark 2.2Computational Test: Monte CarloRyzen 7 7840HS2004006008001000889.66

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Jacobi Successive Over-RelaxationCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS5001000150020002500SE +/- 0.36, N = 3SE +/- 5.00, N = 3SE +/- 5.12, N = 32555.592225.422351.74
OpenBenchmarking.orgMflops Per Watt, More Is BetterJava SciMark 2.2Computational Test: Jacobi Successive Over-RelaxationRyzen 7 7840HS20040060080010001010.78

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Dense LU Matrix FactorizationCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS4K8K12K16K20KSE +/- 199.16, N = 3SE +/- 172.82, N = 3SE +/- 70.04, N = 310250.9015816.0416920.60

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix MultiplyCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS8001600240032004000SE +/- 143.87, N = 3SE +/- 175.10, N = 3SE +/- 30.21, N = 33696.163760.213793.66
OpenBenchmarking.orgMflops Per Watt, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix MultiplyRyzen 7 7840HS300600900120015001466.62

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Fast Fourier TransformCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS150300450600750SE +/- 14.60, N = 3SE +/- 2.39, N = 3SE +/- 0.92, N = 3710.18340.38365.25

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Monte CarloCore Ultra 7 155HRyzen 7 7840URyzen 7 7840HS5001000150020002500SE +/- 10.81, N = 3SE +/- 3.31, N = 3SE +/- 14.85, N = 31331.122079.562227.11
OpenBenchmarking.orgMflops Per Watt, More Is BetterJava SciMark 2.2Computational Test: Monte CarloRyzen 7 7840HS2004006008001000889.66

373 Results Shown

Xmrig
WebP2 Image Encode
Blender
Timed Linux Kernel Compilation
LeelaChessZero:
  BLAS
  Eigen
Selenium
OSPRay Studio
Whisper.cpp
OpenVKL
PyTorch:
  CPU - 32 - Efficientnet_v2_l
  CPU - 16 - Efficientnet_v2_l
GNU Radio:
  Hilbert Transform
  FM Deemphasis Filter
  IIR Filter
  FIR Filter
  Signal Source (Cosine)
  Five Back to Back FIR Filters
Helsing
Blender
NCNN:
  CPU - FastestDet
  CPU - regnety_400m
  CPU - squeezenet_ssd
  CPU - yolov4-tiny
  CPU - resnet50
  CPU - alexnet
  CPU - resnet18
  CPU - vgg16
  CPU - googlenet
  CPU - blazeface
  CPU - efficientnet-b0
  CPU - mnasnet
  CPU - shufflenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU-v2-v2 - mobilenet-v2
  CPU - mobilenet
OSPRay Studio:
  3 - 4K - 16 - Path Tracer - CPU
  1 - 4K - 32 - Path Tracer - CPU
Timed Godot Game Engine Compilation
WebP2 Image Encode
PyTorch
Blender
OpenSSL
OpenRadioss
ScyllaDB
OpenSSL
VVenC
Scikit-Learn
asmFish
Scikit-Learn
PyTorch
Scikit-Learn
Appleseed
Xmrig:
  Monero - 1M
  CryptoNight-Femto UPX2 - 1M
  CryptoNight-Heavy - 1M
  KawPow - 1M
OSPRay
OpenCV
Whisper.cpp
LuxCoreRender
Numenta Anomaly Benchmark
OpenRadioss
LuaRadio:
  Complex Phase
  Hilbert Transform
  FM Deemphasis Filter
  Five Back to Back FIR Filters
Scikit-Learn
Numenta Anomaly Benchmark
OSPRay Studio
Stockfish
OpenRadioss
Blender
OSPRay
OSPRay Studio
Xmrig
FFmpeg:
  libx265 - Video On Demand
  libx265 - Platform
WebP2 Image Encode
TensorFlow
Embree
OSPRay Studio
GROMACS
OpenSSL:
  SHA256
  AES-256-GCM
  AES-128-GCM
  SHA512
WireGuard + Linux Networking Stack Stress Test
FFmpeg
simdjson
OSPRay
PyTorch
simdjson
OSPRay
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
Blender
LuxCoreRender:
  DLSC - CPU
  LuxCore Benchmark - CPU
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
Timed FFmpeg Compilation
Zstd Compression:
  8 - Decompression Speed
  8 - Compression Speed
Embree
libavif avifenc
OSPRay
IndigoBench
TensorFlow Lite
IndigoBench
OSPRay
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
Appleseed:
  Disney Material
  Material Tester
OpenVINO:
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
OSPRay Studio
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
RocksDB
Timed Linux Kernel Compilation
NAS Parallel Benchmarks
LuxCoreRender
TensorFlow Lite
OpenRadioss
TensorFlow Lite
PyTorch
OSPRay Studio
RocksDB
Selenium
RocksDB
Numpy Benchmark
Stargate Digital Audio Workstation
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
OpenSSL:
  RSA4096:
    verify/s
    sign/s
OpenVINO:
  Road Segmentation ADAS FP16-INT8 - CPU:
    ms
    FPS
x265
Intel Open Image Denoise
ASTC Encoder
TensorFlow
uvg266
TensorFlow Lite
Scikit-Learn
Numenta Anomaly Benchmark
uvg266
OpenVINO:
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
OSPRay Studio
Zstd Compression:
  8, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
Chaos Group V-RAY
LZ4 Compression:
  3 - Decompression Speed
  3 - Compression Speed
C-Ray
SVT-AV1
PyTorch
Numenta Anomaly Benchmark
OSPRay Studio
PyTorch
Kvazaar
PyHPC Benchmarks
VVenC
PyPerformance
Embree
TensorFlow Lite
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
uvg266
Selenium
Stargate Digital Audio Workstation
John The Ripper:
  bcrypt
  Blowfish
Timed GDB GNU Debugger Compilation
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
7-Zip Compression:
  Decompression Rating
  Compression Rating
Neural Magic DeepSparse:
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream:
    ms/batch
    items/sec
simdjson
libavif avifenc
GraphicsMagick
simdjson:
  TopTweet
  PartialTweets
Liquid-DSP
Z3 Theorem Prover
Timed PHP Compilation
GEGL
OSPRay Studio
Perl Benchmarks
Zstd Compression:
  12 - Decompression Speed
  12 - Compression Speed
Kvazaar
ASKAP:
  tConvolve MT - Gridding
  tConvolve MT - Degridding
OSPRay Studio
RawTherapee
FFmpeg
GraphicsMagick
RocksDB
GraphicsMagick:
  Noise-Gaussian
  Swirl
  Resizing
  Rotate
  HWB Color Space
Selenium:
  Speedometer - Firefox
  Kraken - Firefox
VVenC:
  Bosphorus 1080p - Fast
  Bosphorus 1080p - Faster
ASKAP:
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
Node.js V8 Web Tooling Benchmark
Primesieve
SVT-AV1
QuantLib
OpenSCAD
Timed Wasmer Compilation
Scikit-Learn
Stargate Digital Audio Workstation
Perl Benchmarks
LuxCoreRender
Stargate Digital Audio Workstation
Kvazaar
SQLite Speedtest
LZ4 Compression:
  9 - Decompression Speed
  9 - Compression Speed
Liquid-DSP
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Selenium
Neural Magic DeepSparse:
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    ms/batch
    items/sec
GEGL
Scikit-Learn
ASTC Encoder
PyHPC Benchmarks
Selenium
Cryptsetup:
  Twofish-XTS 512b Decryption
  Twofish-XTS 512b Encryption
  Serpent-XTS 512b Decryption
  Serpent-XTS 512b Encryption
  AES-XTS 512b Decryption
  AES-XTS 512b Encryption
  Twofish-XTS 256b Decryption
  Twofish-XTS 256b Encryption
  Serpent-XTS 256b Decryption
  Serpent-XTS 256b Encryption
  AES-XTS 256b Decryption
  AES-XTS 256b Encryption
  PBKDF2-whirlpool
  PBKDF2-sha512
Neural Magic DeepSparse:
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
NAS Parallel Benchmarks
GEGL
Git
Neural Magic DeepSparse:
  ResNet-50, Baseline - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Selenium
Neural Magic DeepSparse:
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
ASKAP
SVT-VP9
GEGL
Liquid-DSP
PyPerformance
Inkscape
Numenta Anomaly Benchmark
Z3 Theorem Prover
Selenium:
  PSPDFKit WASM - Firefox
  ARES-6 - Google Chrome
SVT-AV1
PyPerformance
Selenium
PyTorch
SVT-VP9
OCRMyPDF
LZ4 Compression:
  1 - Decompression Speed
  1 - Compression Speed
Aircrack-ng
Liquid-DSP:
  16 - 256 - 512
  8 - 256 - 512
  2 - 256 - 512
  2 - 256 - 32
  1 - 256 - 32
  4 - 256 - 32
  1 - 256 - 512
SVT-VP9
Selenium
eSpeak-NG Speech Engine
PyPerformance
x265
PHPBench
GEGL
ASTC Encoder
SVT-AV1
Java SciMark
uvg266
OpenSCAD
libjpeg-turbo tjbench
NAS Parallel Benchmarks
OpenSCAD
uvg266
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 1080p
Kvazaar
FLAC Audio Encoding
GEGL
PyPerformance
GEGL
R Benchmark
uvg266
QuantLib
GIMP
PyBench
RNNoise
WebP2 Image Encode
Kvazaar
Selenium
Unpacking Firefox
GIMP
Helsing
libavif avifenc
Selenium
GIMP
Selenium
ASTC Encoder
GIMP
Numenta Anomaly Benchmark
Kvazaar
libavif avifenc
Selenium
GNU Octave Benchmark
Darktable
GEGL:
  Crop
  Scale
LAME MP3 Encoding
Darktable
libavif avifenc
Unpacking The Linux Kernel
OpenSCAD
Darktable
WebP2 Image Encode
OpenSCAD
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
Darktable
Java SciMark:
  Jacobi Successive Over-Relaxation
  Sparse Matrix Multiply
  Monte Carlo
Java SciMark:
  Jacobi Successive Over-Relaxation
  Dense LU Matrix Factorization
  Sparse Matrix Multiply
  Fast Fourier Transform
  Monte Carlo

Core Ultra 7 155H

Processor: Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads), Motherboard: MTL Coral_MTH (V1.01 BIOS), Chipset: Intel Device 7e7f, Memory: 16GB, Disk: 1024GB Micron_2550_MTFDKBA1T0TGE, Graphics: Intel Arc MTL 15GB (2250MHz), Audio: Intel Meteor Lake-P HD Audio, Network: Intel Device 7e40

OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 1920x1200

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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x13 - Thermald 2.5.4
Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)
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: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS IBPB: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 16 December 2023 20:23 by user phoronix.

Ryzen 7 7840U

Processor: AMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads), Motherboard: Framework FRANMDCP07 (03.03 BIOS), Chipset: AMD Device 14e8, Memory: 16GB, Disk: 512GB Western Digital WD PC SN740 SDDPNQD-512G, Graphics: AMD Phoenix1 512MB (2700/2800MHz), Audio: AMD Rembrandt Radeon HD Audio, Network: MEDIATEK MT7922 802.11ax PCI

OS: Ubuntu 23.10, Kernel: 6.7.0-060700rc5-generic (x86_64), Desktop: GNOME Shell 45.1, Display Server: X Server 1.21.1.7 + Wayland, OpenGL: 4.6 Mesa 24.0~git2312160600.5d937f~oibaf~m (git-5d937f0 2023-12-16 mantic-oibaf-ppa), Compiler: GCC 13.2.0, File-System: ext4, Screen Resolution: 2256x1504

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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: amd-pstate-epp powersave - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced
Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)
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: Vulnerable: Safe RET no microcode + 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 14 December 2023 17:05 by user phoronix.

Ryzen 7 7840HS

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 8 GB 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 + Wayland, OpenGL: 4.6 Mesa 24.1~git2401140600.3c7460~oibaf~m (git-3c7460c 2024-01-14 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
Disk Notes: NONE / relatime,rw / Block Size: 4096
Processor Notes: Scaling Governor: amd-pstate-epp powersave (EPP: balance_performance) - CPU Microcode: 0xa704104
Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)
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 16 January 2024 21:37 by user phoronix.