Intel Core Ultra 7 155H vs. AMD Ryzen 7 7840U 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 2312190-NE-COREULTRA78
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Audio Encoding 3 Tests
AV1 2 Tests
Web Browsers 1 Tests
Chess Test Suite 3 Tests
Timed Code Compilation 6 Tests
C/C++ Compiler Tests 19 Tests
Compression Tests 3 Tests
CPU Massive 31 Tests
Creator Workloads 37 Tests
Cryptography 5 Tests
Database Test Suite 2 Tests
Encoding 11 Tests
Fortran Tests 2 Tests
Game Development 5 Tests
HPC - High Performance Computing 20 Tests
Imaging 9 Tests
Java Tests 2 Tests
Common Kernel Benchmarks 4 Tests
Machine Learning 14 Tests
MPI Benchmarks 3 Tests
Multi-Core 37 Tests
NVIDIA GPU Compute 7 Tests
Intel oneAPI 6 Tests
OpenMPI Tests 4 Tests
Productivity 4 Tests
Programmer / Developer System Benchmarks 14 Tests
Python 6 Tests
Raytracing 3 Tests
Renderers 8 Tests
Scientific Computing 2 Tests
Software Defined Radio 3 Tests
Server 8 Tests
Server CPU Tests 22 Tests
Single-Threaded 12 Tests
Speech 2 Tests
Telephony 2 Tests
Video Encoding 8 Tests
Common Workstation Benchmarks 3 Tests

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  Test
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Ryzen 7 7840U
December 14 2023
  1 Day, 13 Hours, 52 Minutes
Core Ultra 7 155H
December 16 2023
  2 Days, 23 Hours, 19 Minutes
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  2 Days, 6 Hours, 35 Minutes
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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

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

Intel Core Ultra 7 155H vs. AMD Ryzen 7 7840U Linux BenchmarksProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerOpenGLCompilerFile-SystemScreen ResolutionRyzen 7 7840UCore Ultra 7 155HAMD Ryzen 7 7840U @ 5.13GHz (8 Cores / 16 Threads)Framework FRANMDCP07 (03.03 BIOS)AMD Device 14e816GB512GB Western Digital WD PC SN740 SDDPNQD-512GAMD Phoenix1 512MB (2700/2800MHz)AMD Rembrandt Radeon HD AudioMEDIATEK MT7922 802.11ax PCIUbuntu 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 13.2.0ext42256x1504Intel Core Ultra 7 155H @ 4.80GHz (16 Cores / 22 Threads)MTL Coral_MTH (V1.01 BIOS)Intel Device 7e7f1024GB Micron_2550_MTFDKBA1T0TGEIntel Arc MTL 15GB (2250MHz)Intel Meteor Lake-P HD AudioIntel Device 7e401920x1200OpenBenchmarking.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- Ryzen 7 7840U: Scaling Governor: amd-pstate-epp powersave - Platform Profile: balanced - CPU Microcode: 0xa704103 - ACPI Profile: balanced - Core Ultra 7 155H: Scaling Governor: intel_pstate powersave - CPU Microcode: 0x13 - Thermald 2.5.4Java Details- OpenJDK Runtime Environment (build 17.0.9+9-Ubuntu-123.10)Python Details- Python 3.11.6Security Details- 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 - 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 vs. Core Ultra 7 155H ComparisonPhoronix Test SuiteBaseline+82.2%+82.2%+164.4%+164.4%+246.6%+246.6%+328.8%+328.8%114.7%108.6%91.1%88.8%84%69.3%68.9%64.3%48.9%47.7%46.2%45.7%44.7%44.4%43.1%38.6%37.7%37.1%24.8%24.1%24%23.5%23%22.7%22.2%22.2%20.6%20.3%18.8%18.6%18.2%17.2%17%16.1%14.8%11.8%11.1%10.7%10.4%8.6%8.4%7.7%6.9%6.6%6.5%6.5%6.3%5.8%5.6%5.5%5.5%5.2%5%4.9%4.9%4.7%4.5%4.4%4.4%4.3%4%3.1%2.7%2.6%2.4%2.4%C.S.9.P.Y.P - A.M.S328.9%H.G.B.A316.2%I.R.V308.5%H.E.R.F.I - CPU306.4%P.V.B.D.F - CPU258.3%N.T.C.B.b.u.S.S.I - A.M.S234.5%ggml-small.en - 2.S.o.t.U233.7%A.G.R.R.0.F.I - CPU231.6%V.D.F.I - CPU222.9%B.L.N.Q.A.S.I - A.M.S220.8%W.P.D.F.I - CPU220%P.D.F - CPU217%CPU - regnety_400m204.1%B.L.N.Q.A - A.M.S199.1%N.T.C.B.b.u.c - A.M.S196.3%H.G.B193.8%R.5.S.I - A.M.S193.3%N.D.C.o.b.u.o.I - A.M.S190.7%R.5.B - A.M.S189.7%C.C.R.5.I - A.M.S187.8%F.B.t.B.F.F183.7%ggml-base.en - 2.S.o.t.U181.9%CPU - mnasnet176.6%C.D.Y.C.S.I - A.M.S175.4%C.D.Y.C - A.M.S174.6%N.T.C.D.m - A.M.S174.3%F.D.F.I - CPU172.6%SqueezeNet158.5%CPU-v3-v3 - mobilenet-v3154.9%RSA4096150.1%R.S.A.F.I - CPU149.8%CPU - shufflenet-v2147.2%CPU - efficientnet-b0141.8%CPU - blazeface140.5%TSNE MNIST Dataset134.6%CPU - 32 - Efficientnet_v2_l125.2%Inception V4123.3%tConvolve MPI - Degridding120.8%CPU-v2-v2 - mobilenet-v2119.1%Mobilenet Float118.5%CPU - 16 - Efficientnet_v2_l116.8%8 - Compression SpeedCPU - resnet50112.5%CPU - 1 - ResNet-152111.6%BLAS108.9%F.F.TChaCha20-Poly1305107.2%CPU - 32 - ResNet-152106.3%P.V.B.D.F - CPU104.3%CPU - 16 - ResNet-152102.6%ChaCha20102.3%CPU - FastestDet99%python_startup94.2%CPU - googlenet91.9%tConvolve MT - GriddingH.E.R.F.I - CPU90.4%8, Long Mode - Compression SpeedtConvolve MPI - Gridding87.8%C.S.9.P.Y.P - A.M.S86.8%CPU - mobilenet85.4%CPU - 32 - ResNet-5084.5%V.D.F.I - CPU84.2%RotateCPU - resnet1882.4%F.D.R.F.I - CPU81.9%CPU - 16 - ResNet-5081.2%P.D.F - CPU81.1%CPU - 1 - Efficientnet_v2_l80%Eigen76.9%CPU - 1 - ResNet-5075.9%Update Rand71.8%AES-128-GCM69.4%SP.Bgravity_spheres_volume/dim_512/ao/real_time69.2%12 - Compression Speedgravity_spheres_volume/dim_512/scivis/real_time68.1%3 - D.S67.5%9 - D.S67.1%CPU - yolov4-tiny66.5%1 - D.S65.9%R.O.R.S.I64.6%H.C.OMobilenet Quant62.9%CPU - squeezenet_ssd61.8%Bumper Beam61.6%1 - Compression Speed61%AES-256-GCM60.6%F.D.R.F.I - CPU60.1%CPU - Numpy - 4194304 - Equation of State58.4%F.D.F.I - CPU56.5%Monte Carlo56.2%D.L.M.F54.3%A.G.R.R.0.F.I - CPU53.5%CPU - 16 - ResNet-5052.4%2.N.L.R51.1%W.P.D.F.I - CPU50.6%1e1249.6%A.X.2.ECPU - 32 - ResNet-5048.2%8 - 256 - 51247.9%A.X.5.ECore47.6%1 - 4K - 32 - Path Tracer - CPU46.6%tConvolve MT - Degriddingresize46.2%CPU - Bedroom46.1%Hilbert Transform16 - 256 - 51244.8%A.X.2.DA.X.5.D3 - 4K - 32 - Path Tracer - CPU44.4%1 - 4K - 16 - Path Tracer - CPU44.1%C.P.D.T44.1%gravity_spheres_volume/dim_512/pathtracer/real_time44%N.T.C.B.b.u.S.S.I - A.M.S43.3%libx265 - Live43.2%1 - 1080p - 1 - Path Tracer - CPU43.1%Hilbert Transform3 - 1080p - 1 - Path Tracer - CPU42.9%3 - 4K - 16 - Path Tracer - CPU42.7%R.S.A.F.I - CPU42.5%CPU - alexnet42.4%B.S.o.W42.3%1 - 1080p - 32 - Path Tracer - CPU42%CPU - Numpy - 4194304 - Isoneutral Mixing41.8%libx265 - Video On Demand41.3%3 - 1080p - 32 - Path Tracer - CPU40.8%libx265 - Platform40.7%Scale39%1 - 4K - 1 - Path Tracer - CPU38.7%BT.CKNN CADB.L.N.Q.A.S.I - A.M.S37.5%3 - 4K - 1 - Path Tracer - CPU37.5%libx265 - Upload37.3%SharpenPreset 8 - Bosphorus 4K36.3%R.R.W.R36.2%RT.ldr_alb_nrm.3840x2160 - CPU-Only36%Bosphorus 1080p - Super Fast35.7%Barbershop - CPU-Only35%34.8%D.R33.8%3 - 1080p - 16 - Path Tracer - CPU33.6%ARES-6 - Google Chrome33.2%14 digit32.9%Emily32.9%Danish Mood - CPU32.7%Bosphorus 4K - Super Fast32.4%1 - 1080p - 16 - Path Tracer - CPU32.1%Bosphorus 1080p - Very Fast31.9%Bosphorus 1080p - Very Fast31.2%Material Tester30.8%DistinctUserID30.7%Composite30.6%B.L.N.Q.A - A.M.S30.3%30.3%Bosphorus 4K - Very Fast30.2%CPU - vgg1630.2%N.T.C.B.b.u.c - A.M.S30%1.H.M.2.D29.9%TopTweet29.8%Bosphorus 4K - Ultra Fast29.6%Bosphorus 1080p - Super Fast29.2%Total Time28%Bosphorus 4K - Very Fast28%Bosphorus 1080p - Ultra Fast27.9%Bosphorus 4K - Super Fast27.7%Bosphorus 1080p - Ultra Fast27.6%v.I27.3%Preset 4 - Bosphorus 4K27.3%FIR Filter27.2%LuxCore Benchmark - CPU27.1%Blowfish27%bcrypt27%R.C.a.P - CPU26.3%N.D.C.o.b.u.o.I - A.M.S26.3%Preset 4 - Bosphorus 1080p26.1%Rotate 90 Degrees26%Preset 8 - Bosphorus 1080p26%EP.C25.9%2.smt225.9%R.5.S.I - A.M.S25.3%F.D.FFishy Cat - CPU-Only24.6%R.5.B - A.M.S24.3%Timed Time - Size 1,000particle_volume/scivis/real_timeBosphorus 4K - Ultra Fast23.9%Pathtracer ISPC - Crown23.6%19 - D.SC.C.R.5.I - A.M.S23.5%PartialTweets23.1%KawPow - 1MBosphorus 1080p - Faster22.9%particle_volume/ao/real_timeregex_compile22.7%Pabellon Barcelona - CPU-Only22.6%Bosphorus 1080p - Fast22.4%1 - 256 - 32F.D.FKostya21.9%Bosphorus 4K - Fast21.5%4 - 256 - 51221.4%Bosphorus 1080p21.3%Speedometer - Firefox20.9%Classroom - CPU-Only20.7%2 - 256 - 32CPU - Supercar20.6%Kraken - Firefox20.6%Monero - 1MCPU20.3%Bosphorus 4K - Faster19.6%T.B.T19.4%PBKDF2-sha51219.4%Pathtracer ISPC - Asian Dragon18.9%CryptoNight-Heavy - 1MC.F.U - 1MC.D.Y.C.S.I - A.M.S18.3%1.smt2Relative Entropy18.1%C.D.Y.C - A.M.S18%N.T.C.D.m - A.M.S17.7%SVG Files To PNG17.7%GhostRider - 1M17.5%Time To Compile17.4%VMAF Optimized - Bosphorus 4KServer Rack - CPU-only17.2%P.B.S12 digit16.8%Noise-Gaussian16.2%W.c - Google ChromeTime To Compile15.9%Kraken - Google Chrome15.5%Pathtracer ISPC - Asian Dragon Obj15.1%B.C15.1%Preset 12 - Bosphorus 1080p15%J.S.O.RARES-6 - Firefox14.4%allmodconfig14.2%S.X.5.E13.8%16 - 256 - 3213.8%defconfig13.4%MPI CPU - water_GMX50_bare13.2%Swirl12.6%D.T12.2%SGD Regression12.1%linux-5.19.tar.xz12%19, Long Mode - D.S2 - 256 - 51211.6%Jetstream 2 - Firefox11.6%4 - 256 - 32RSA409611%unsharp-mask10.9%10.8%particle_volume/pathtracer/real_time10.8%P.S.O - Bosphorus 4KS.X.2.E10.7%Read While Writing10.6%EnhancedDisney Material10.3%HWB Color Space10.3%Jetstream 2 - Google Chrome9.9%PSPDFKit WASM - Google Chrome9.8%Preset 13 - Bosphorus 1080p9.8%BMW27 - CPU-Only9.7%Isolation Forest9.3%WAV To FLAC9.3%9.3%Exhaustive9.3%Boat - CPU-only9.1%Orange Juice - CPU8.8%W.i - Firefox8.7%T.T.C.C.G.C8.7%Rand ReadIIR FilterTime To Compile8%Crop7.9%auto-levels7.9%S.S.C7.8%7.7%Bosphorus 4KTime To Compile7.6%PSPDFKit WASM - Firefox7.4%1 - 256 - 5127.4%WAV To MP37.2%Earthgecko Skyline7%Speedometer - Google Chrome6.9%Preset 12 - Bosphorus 4K6.9%Multi-Threaded6.9%T.F.A.T.T26.6%ReflectW.i - Google Chrome6.5%6, LosslessSingle-Threaded44100 - 1024rotate6.3%DLSC - CPU6.2%S.X.5.D6%6Preset 13 - Bosphorus 4KResizing5.6%P.6.P.P.D5.5%12 - D.SS.X.2.D5.5%Time To Compile5.3%C.A.D.OTotal Time - 4.1.R.P.PPBKDF2-whirlpoolT.T.S.SPod2html4.8%Compression Ratingraytrace4.6%T.X.5.D4.5%Q.1.C.E.519, Long Mode - Compression SpeedWritesInterpreterSHA5124.2%L.P.C.S4.2%3 - Compression Speed4%W.c - FirefoxT.X.2.D3.8%crypto_pyaes3.7%8 - 256 - 323.7%10, Lossless3.6%T.X.2.E3.4%Fast3.4%T.X.5.E3.3%Octane - Google Chrome3.2%F.B.t.B.F.F2.9%Mini-ITX Case2.8%Complex Phase2.8%Antialias19 - Compression SpeedWindowed Gaussian2.6%ThoroughDefault2.4%480000 - 1024Pistol2.1%Neural Magic DeepSparseScikit-LearnTensorFlow LiteOpenVINOOpenVINONeural Magic DeepSparseWhisper.cppOpenVINOOpenVINONeural Magic DeepSparseOpenVINOOpenVINONCNNNeural Magic DeepSparseNeural Magic DeepSparseScikit-LearnNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseLuaRadioWhisper.cppNCNNNeural Magic DeepSparseNeural Magic DeepSparseNeural Magic DeepSparseOpenVINOTensorFlow LiteNCNNOpenSSLOpenVINONCNNNCNNNCNNScikit-LearnPyTorchTensorFlow LiteASKAPNCNNTensorFlow LitePyTorchZstd CompressionNCNNPyTorchLeelaChessZeroJava SciMarkOpenSSLPyTorchOpenVINOPyTorchOpenSSLNCNNPyPerformanceNCNNASKAPOpenVINOZstd CompressionASKAPNeural Magic DeepSparseNCNNPyTorchOpenVINOGraphicsMagickNCNNOpenVINOPyTorchOpenVINOPyTorchLeelaChessZeroPyTorchRocksDBOpenSSLNAS Parallel BenchmarksOSPRayZstd CompressionOSPRayLZ4 CompressionLZ4 CompressionNCNNLZ4 CompressionOpenRadiossASKAPTensorFlow LiteNCNNOpenRadiossLZ4 CompressionOpenSSLOpenVINOPyHPC BenchmarksOpenVINOJava SciMarkJava SciMarkOpenVINOTensorFlowScikit-LearnOpenVINOPrimesieveCryptsetupTensorFlowLiquid-DSPCryptsetupOpenCVOSPRay StudioASKAPGIMPIndigoBenchGNU RadioLiquid-DSPCryptsetupCryptsetupOSPRay StudioOSPRay StudioOpenRadiossOSPRayNeural Magic DeepSparseFFmpegOSPRay StudioLuaRadioOSPRay StudioOSPRay StudioOpenVINONCNNOpenRadiossOSPRay StudioPyHPC BenchmarksFFmpegOSPRay StudioFFmpegGEGLOSPRay StudioNAS Parallel BenchmarksNumenta Anomaly BenchmarkNeural Magic DeepSparseOSPRay StudioFFmpegGraphicsMagickSVT-AV1RocksDBIntel Open Image DenoiseKvazaarBlenderAircrack-ng7-Zip CompressionOSPRay StudioSeleniumHelsingAppleseedLuxCoreRenderKvazaarOSPRay StudioKvazaaruvg266AppleseedsimdjsonJava SciMarkNeural Magic DeepSparseGNU Octave BenchmarkKvazaarNCNNNeural Magic DeepSparseasmFishsimdjsonKvazaaruvg266Stockfishuvg266Kvazaaruvg266uvg266OpenVKLSVT-AV1GNU RadioLuxCoreRenderJohn The RipperJohn The RipperLuxCoreRenderNeural Magic DeepSparseSVT-AV1GEGLSVT-AV1NAS Parallel BenchmarksZ3 Theorem ProverNeural Magic DeepSparseLuaRadioBlenderNeural Magic DeepSparseSQLite SpeedtestOSPRayuvg266EmbreeZstd CompressionNeural Magic DeepSparsesimdjsonXmrigVVenCOSPRayPyPerformanceBlenderVVenCLiquid-DSPGNU RadiosimdjsonVVenCLiquid-DSPx265SeleniumBlenderLiquid-DSPIndigoBenchSeleniumXmrigChaos Group V-RAYVVenCRawTherapeeCryptsetupEmbreeXmrigXmrigNeural Magic DeepSparseZ3 Theorem ProverNumenta Anomaly BenchmarkNeural Magic DeepSparseNeural Magic DeepSparseInkscapeXmrigTimed FFmpeg CompilationSVT-VP9DarktablePHPBenchHelsingGraphicsMagickSeleniumTimed GDB GNU Debugger CompilationSeleniumEmbreeNumenta Anomaly BenchmarkSVT-AV1Java SciMarkSeleniumTimed Linux Kernel CompilationCryptsetupLiquid-DSPTimed Linux Kernel CompilationGROMACSGraphicsMagicklibjpeg-turbo tjbenchScikit-LearnUnpacking The Linux KernelZstd CompressionLiquid-DSPSeleniumLiquid-DSPOpenSSLGIMPNumpy BenchmarkOSPRaySVT-VP9CryptsetupRocksDBGraphicsMagickAppleseedGraphicsMagickSeleniumSeleniumSVT-AV1BlenderScikit-LearnFLAC Audio Encodinglibavif avifencASTC EncoderDarktableLuxCoreRenderSeleniumGitRocksDBGNU RadioTimed Godot Game Engine CompilationGEGLGIMPGNU RadioR Benchmarkx265Timed PHP CompilationSeleniumLiquid-DSPLAME MP3 EncodingNumenta Anomaly BenchmarkSeleniumSVT-AV1QuantLibPyBenchlibavif avifencGEGLSeleniumlibavif avifencQuantLibStargate Digital Audio WorkstationGIMPLuxCoreRenderCryptsetuplibavif avifencSVT-AV1GraphicsMagickOCRMyPDFNode.js V8 Web Tooling BenchmarkZstd CompressionCryptsetupTimed Wasmer CompilationNumenta Anomaly BenchmarkC-RayCryptsetupeSpeak-NG Speech EnginePerl Benchmarks7-Zip CompressionPyPerformanceCryptsetupWebP2 Image EncodeZstd CompressionScyllaDBPerl BenchmarksOpenSSLOpenSCADLZ4 CompressionSeleniumCryptsetupPyPerformanceLiquid-DSPlibavif avifencCryptsetupASTC EncoderCryptsetupSeleniumWireGuard + Linux Networking Stack Stress TestGNU RadioOpenSCADLuaRadioGEGLZstd CompressionNumenta Anomaly BenchmarkASTC EncoderWebP2 Image EncodeStargate Digital Audio WorkstationOpenSCADRyzen 7 7840UCore Ultra 7 155H

Intel Core Ultra 7 155H vs. AMD Ryzen 7 7840U Linux Benchmarksxmrig: GhostRider - 1Mwebp2: Quality 100, Lossless Compressionblender: Barbershop - CPU-Onlybuild-linux-kernel: allmodconfiglczero: BLASselenium: Jetstream 2 - Google Chromepytorch: CPU - 32 - Efficientnet_v2_lwhisper-cpp: ggml-small.en - 2016 State of the Unionpytorch: CPU - 16 - Efficientnet_v2_lospray-studio: 3 - 4K - 32 - Path Tracer - CPUlczero: Eigengnuradio: Hilbert Transformgnuradio: FM Deemphasis Filtergnuradio: IIR Filtergnuradio: FIR Filtergnuradio: Signal Source (Cosine)gnuradio: Five Back to Back FIR Filtersopenvkl: vklBenchmarkCPU ISPCncnn: 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 - mobilenethelsing: 14 digitospray-studio: 3 - 4K - 16 - Path Tracer - CPUpytorch: CPU - 32 - ResNet-152blender: Pabellon Barcelona - CPU-Onlyscikit-learn: Hist Gradient Boostingscikit-learn: TSNE MNIST Datasetospray-studio: 1 - 4K - 32 - Path Tracer - CPUopenssl: ChaCha20-Poly1305scikit-learn: Hist Gradient Boosting Adultscylladb: Writesbuild-godot: Time To Compilevvenc: Bosphorus 4K - Fastasmfish: 1024 Hash Memory, 26 Depthopenssl: ChaCha20pytorch: CPU - 16 - ResNet-152webp2: Quality 95, Compression Effort 7blender: Classroom - CPU-Onlyopenradioss: Bird Strike on Windshieldscikit-learn: Isolation Forestopencv: Coreospray: particle_volume/ao/real_timewhisper-cpp: ggml-base.en - 2016 State of the Unionnumenta-nab: Earthgecko Skylineappleseed: Emilyopenradioss: Rubber O-Ring Seal Installationxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: Monero - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: KawPow - 1Mospray-studio: 3 - 1080p - 16 - Path Tracer - CPUospray-studio: 1 - 4K - 16 - Path Tracer - CPUembree: Pathtracer ISPC - Crownluaradio: Complex Phaseluaradio: Hilbert Transformluaradio: FM Deemphasis Filterluaradio: Five Back to Back FIR Filtersopenradioss: Bumper Beamospray-studio: 3 - 1080p - 1 - Path Tracer - CPUluxcorerender: Danish Mood - CPUpytorch: CPU - 1 - ResNet-152ospray: particle_volume/scivis/real_timeblender: Fishy Cat - CPU-Onlynumenta-nab: KNN CADffmpeg: libx265 - Video On Demandtensorflow: CPU - 32 - ResNet-50ffmpeg: libx265 - Platformospray: gravity_spheres_volume/dim_512/pathtracer/real_timesimdjson: Kostyaxmrig: Wownero - 1Mcompress-zstd: 19, Long Mode - Decompression Speedcompress-zstd: 19, Long Mode - Compression Speedbuild-ffmpeg: Time To Compilegromacs: MPI CPU - water_GMX50_bareospray: gravity_spheres_volume/dim_512/ao/real_timeembree: Pathtracer ISPC - Asian Dragonluxcorerender: LuxCore Benchmark - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUospray: gravity_spheres_volume/dim_512/scivis/real_timecompress-zstd: 8 - Decompression Speedcompress-zstd: 8 - Compression Speedwebp2: Quality 75, Compression Effort 7tensorflow-lite: Inception ResNet V2indigobench: CPU - Bedroomindigobench: CPU - Supercaropenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUluxcorerender: DLSC - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUffmpeg: libx265 - Uploadwireguard: openvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUrocksdb: Update Randopenssl: SHA256openssl: AES-256-GCMopenssl: AES-128-GCMopenssl: SHA512tensorflow-lite: Inception V4luxcorerender: Orange Juice - CPUospray: particle_volume/pathtracer/real_timeblender: BMW27 - CPU-Onlytensorflow-lite: Mobilenet Floatrocksdb: Read While Writingospray-studio: 3 - 1080p - 32 - Path Tracer - CPUappleseed: Material Testeravifenc: 0appleseed: Disney Materialbuild-linux-kernel: defconfigrocksdb: Rand Readopenradioss: Cell Phone Drop Testscikit-learn: SGD Regressionpytorch: CPU - 1 - Efficientnet_v2_lopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenssl: RSA4096openssl: RSA4096ospray-studio: 1 - 1080p - 32 - Path Tracer - CPUx265: Bosphorus 4Kuvg266: Bosphorus 4K - Very Fastnpb: BT.Cnumenta-nab: Bayesian Changepointuvg266: Bosphorus 4K - Super Fastselenium: Jetstream 2 - Firefoxstockfish: Total Timetensorflow-lite: SqueezeNetnumpy: stargate: 192000 - 1024astcenc: Exhaustivetensorflow: CPU - 16 - ResNet-50oidn: RT.ldr_alb_nrm.3840x2160 - CPU-Onlykvazaar: Bosphorus 4K - Very Fastnumenta-nab: Contextual Anomaly Detector OSEopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUcompress-lz4: 3 - Decompression Speedcompress-lz4: 3 - Compression Speedsvt-av1: Preset 4 - Bosphorus 4Kuvg266: Bosphorus 4K - Ultra Fastcompress-zstd: 8, Long Mode - Decompression Speedcompress-zstd: 8, Long Mode - Compression Speedc-ray: Total Time - 4K, 16 Rays Per Pixeljohn-the-ripper: bcryptjohn-the-ripper: Blowfishpytorch: CPU - 32 - ResNet-50pytorch: CPU - 16 - ResNet-50v-ray: CPUliquid-dsp: 16 - 256 - 32pyperformance: python_startupkvazaar: Bosphorus 4K - Super Fastospray-studio: 3 - 4K - 1 - Path Tracer - CPUospray-studio: 1 - 1080p - 1 - Path Tracer - CPUpyhpc: CPU - Numpy - 4194304 - Isoneutral Mixingvvenc: Bosphorus 4K - Fastertensorflow-lite: Mobilenet Quantopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUscikit-learn: MNIST Datasetselenium: Kraken - Firefoxembree: Pathtracer ISPC - Asian Dragon Objprimesieve: 1e12vvenc: Bosphorus 1080p - Fasterselenium: ARES-6 - Firefoxstargate: 96000 - 1024build-gdb: Time To Compilesvt-av1: Preset 8 - Bosphorus 4Kaskap: tConvolve MPI - Griddingaskap: tConvolve MPI - Degriddinggraphics-magick: Sharpendeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamz3: 2.smt2compress-zstd: 19 - Decompression Speedcompress-zstd: 19 - Compression Speedavifenc: 2ospray-studio: 1 - 1080p - 16 - Path Tracer - CPUvvenc: Bosphorus 1080p - Fastbuild-php: Time To Compilegegl: Cartoonperl-benchmark: Pod2htmlsimdjson: DistinctUserIDselenium: Speedometer - Firefoxsimdjson: PartialTweetsluxcorerender: Rainbow Colors and Prism - CPUsimdjson: TopTweetffmpeg: libx265 - Livekvazaar: Bosphorus 4K - Ultra Fastscikit-learn: 20 Newsgroups / Logistic Regressionrawtherapee: Total Benchmark Timecompress-zstd: 12 - Decompression Speedcompress-zstd: 12 - Compression Speedospray-studio: 1 - 4K - 1 - Path Tracer - CPUaskap: tConvolve MT - Griddingaskap: tConvolve MT - Degriddingsimdjson: LargeRandgraphics-magick: Enhancedgraphics-magick: Noise-Gaussianrocksdb: Read Rand Write Randgraphics-magick: Swirlgraphics-magick: Resizinggraphics-magick: Rotategraphics-magick: HWB Color Spacenode-web-tooling: quantlib: Multi-Threadedopenscad: Pistolbuild-wasmer: Time To Compilestargate: 480000 - 1024perl-benchmark: Interpreterstargate: 44100 - 1024compress-lz4: 9 - Decompression Speedcompress-lz4: 9 - Compression Speedsqlite-speedtest: Timed Time - Size 1,000deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamsvt-vp9: Visual Quality Optimized - Bosphorus 4Kaskap: Hogbom Clean OpenMPdeepsparse: 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 - Firefoxgegl: Wavelet Blurpyhpc: CPU - Numpy - 4194304 - Equation of Statedeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamdeepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamastcenc: Thoroughnumenta-nab: Relative Entropysvt-av1: Preset 13 - Bosphorus 4Kcryptsetup: 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-sha512liquid-dsp: 8 - 256 - 32selenium: Octane - Google Chromedeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamgit: Time To Complete Common Git Commandscompress-7zip: Decompression Ratingcompress-7zip: Compression Ratinggegl: Color Enhancegegl: Rotate 90 Degreesnpb: SP.Bdeepsparse: 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-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamselenium: Speedometer - Google Chromesvt-vp9: VMAF Optimized - Bosphorus 4Kocrmypdf: Processing 60 Page PDF Documentsvt-vp9: PSNR/SSIM Optimized - Bosphorus 4Kz3: 1.smt2selenium: WASM imageConvolute - Firefoxpyperformance: raytracex265: Bosphorus 1080ppytorch: CPU - 1 - ResNet-50selenium: PSPDFKit WASM - Firefoxselenium: ARES-6 - Google Chromepyperformance: crypto_pyaesphpbench: PHP Benchmark Suiteselenium: PSPDFKit WASM - Google Chromesvt-av1: Preset 4 - Bosphorus 1080puvg266: Bosphorus 1080p - Very Fastcompress-lz4: 1 - Decompression Speedcompress-lz4: 1 - Compression Speedaircrack-ng: liquid-dsp: 16 - 256 - 512pyperformance: regex_compileliquid-dsp: 8 - 256 - 512liquid-dsp: 4 - 256 - 512liquid-dsp: 1 - 256 - 32liquid-dsp: 2 - 256 - 32liquid-dsp: 2 - 256 - 512liquid-dsp: 4 - 256 - 32liquid-dsp: 1 - 256 - 512npb: EP.Cespeak: Text-To-Speech Synthesisuvg266: Bosphorus 1080p - Super Fastsvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080pkvazaar: Bosphorus 1080p - Very Fastastcenc: Fastgegl: Antialiasinkscape: SVG Files To PNGopenscad: Mini-ITX Casejava-scimark2: Compositetjbench: Decompression Throughputuvg266: Bosphorus 1080p - Ultra Fastencode-flac: WAV To FLACgegl: Reflectgimp: resizekvazaar: Bosphorus 1080p - Super Fastpyperformance: json_loadswebp2: Quality 100, Compression Effort 5pybench: Total For Average Test Timesgegl: Tile Glasshelsing: 12 digitrbenchmark: quantlib: Single-Threadedrnnoise: openscad: Leonardo Phone Case Slimselenium: WASM collisionDetection - Firefoxunpack-firefox: firefox-84.0.source.tar.xzavifenc: 6, Losslessgimp: auto-levelsselenium: WASM collisionDetection - Google Chromeselenium: Kraken - Google Chromegimp: unsharp-maskgimp: rotateastcenc: Mediumkvazaar: Bosphorus 1080p - Ultra Fastnumenta-nab: Windowed Gaussianselenium: WASM imageConvolute - Google Chromeavifenc: 6darktable: Boat - CPU-onlyoctave-benchmark: gegl: Cropencode-mp3: WAV To MP3gegl: Scaledarktable: 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 CarloRyzen 7 7840UCore Ultra 7 155H792.50.011363.861435.52294308.8208.49376.501798.5045438369633.51054.4478.61342.84593.51418.72472.926.057.8717.2113.205.735.8641.128.270.794.002.562.292.682.9910.54541.42822880612.54467.1971.122219.8233817963640932716049.65365439421.5534.121326053135157428037712.560.06363.54318.30223.474994143.04195134.7917689.049364.237952201.543507.23488.63519.13501.66067719302211.21271084.3129.1443.51645.2181.1035651.3020.143.03500186.07234.00850.2922.1950.343.369885.075210.91397.56.3255.7871.0062.8123513.80051.50405.339.862.693611896.5217.60.1330731.61.8824.162113.0235.351.8938.05208.888.30480.0125.04183.6518.09976.27523026135616933438297740852396136297313441069277332952.43.10120.101145.911690.541774161117411196.01835142.146210.079705112.58054818670110.2196.58411.970.3818984.55154053.05348.99898513.3717.8020064.3225.36618.86200.975261518002363.21657.861.5067660.669321.860.3421.9135.22823.29171.234.741668.1216186.670.203.66222.721872.8235.863.118186311864929.2229.03107935638800006.8527.441411529901.4528.2073381.297.57525.9655.628511.811.824717.85128.92316.262.28246666.22929.3342806.452753.29105323.94129.242661.1721315.011.566.5565147413.63965.02467.4370.075942568.383077.049.228.32134.4436.9434.84356.6551831.797.3118711269.301886.451.57202266156277845785356189217.6631965.354.29652.3183.0903160.001827583.12355216182.968.0253.752410.98767.283744.31239.65310.1981293.5236411.60007.265122.4109133.68275020243.8410.989230.845712.99017.128411.67787.916553.3548.7861.3869.43369.93374.0553.3546.1859.2863.93659.93667.689520626116973399700008735746.304164.747737.808688287748439.45134.3387551.2031.995393.679568.695143.630967.460444.435032.065893.46494.0891730.007235450.7111.45053.3526.90020.717566.9048.7223817.1445.51075014248013.69683.4416757.214693.9239922.89716003333371.012079333367625667462736679204566733822000181153333172730001286.4422.42690.1191.52395.34197.55161.021527.28924.58625.3044844.32277.105389108.9613.42523.32813.010127.0611.83.7859021.8405.1520.13683967.415.13916.647286.314.07110.29612.973252.10397.114.48912.40557.2614174.716.95419.106.7265.6166.5425.5225.3814.6733.5634.9714.6504.2382.7618.422.424415.639503.2070.3492225.4215816.043760.21340.382079.56674.20.011840.781638.80645280.9273.771256.458713.9265612639923.31288.0518.71055.34261.61379.11945.8118.4012.7328.6528.058.1610.6953.5215.871.909.677.085.666.836.5519.54719.8273264596.08572.73208.954515.60455956617574983886206.64168321455.1663.39125109174254963091646.200.06438.91452.85244.3321466963.73350379.9196495.302483.935113331.704160.84197.44181.54307.4810722782259.07161054.9184.7553.6580.0292.5850950.989.523.76482231.90169.88235.5914.9735.782.340884.165271.51562.86.6065.4880.8891.6625111.60621.181105.086.301.602491861.9467.20.131255521.2883.451358.2919.521.78154.63109.7129.74234.9918.24178.17625.89648.24304482134115954975166818982056746909603423160382073566.52.85108.370160.083694.571604229165339256.337108155.332231.820691127.61359535959158.81108.3166.651.2612364.87138795.82138.814055714.4013.9127810.5629.20114.77180.143204290726109.59593.501.5161410.612514.340.2516.8333.47158.18120.167.59916.959662.667.522.87718.331870.6445.360.123146671468015.8416.02897349534642913.320.731940342802.0596.8635506.5624.44285.5655.810617.010.271626.70823.53518.602.29144976.73621.5141494.151246.98144968.91587.092977.0091624.311.870.9396800411.14469.95067.1280.079574296.412545.727.306.4193.8828.5152.66367.6701931.8164.3164652425.202758.571.562232291147524406808103280916.7429903.155.42655.1073.1633160.001752593.3191169682.066.9843.3291194.74945.769244.43393.85334.1161204.79441219.60015.590671.886997.19534974143.9291.567990.19986.95297.302013.78592.870529.3531.3812.6763.74867.64982.8533.2528.0814.7780.75297.75462.1939335218687332776000084689127.000955.01241.080514388110038.87443.27012780.7892.693075.3691188.611436.9612185.770237.562792.296475.710711.9927582.498333159.4410.85359.0422.75322.518355.1527.7025579.5147.21258273272310.86163.5810102.09126.5429616.49211053333387.181661333557086675653033311101666730305667201206667160846671021.4221.37369.7485.58575.69673.95155.755326.56628.92626.0203708.79246.93450685.3814.67821.88819.01893.6312.03.9555221.7756.0170.14744224.514.93217.338275.414.2189.66913.998217.12458.716.06713.18156.7866136.567.13220.346.3586.1278.5225.9605.7666.4963.5385.1485.2064.2672.7698.222.436361.549458.3720.4092555.5910250.903696.16710.181331.12OpenBenchmarking.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: 1MRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 7.40, N = 7SE +/- 4.56, N = 3792.5674.21. (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 MonitorRyzen 7 7840UCore Ultra 7 155H1122334455Min: 2.66 / Avg: 32.17 / Max: 38.71Min: 1.54 / Avg: 32.94 / Max: 52.821. Ryzen 7 7840U: Approximate power consumption of 40714 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 48985 Joules per run.

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 CompressionRyzen 7 7840UCore Ultra 7 155H0.00230.00460.00690.00920.0115SE +/- 0.00, N = 3SE +/- 0.00, N = 30.010.011. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1326395265Min: 3.04 / Avg: 32.46 / Max: 51.12Min: 1.46 / Avg: 32.63 / Max: 64.291. Ryzen 7 7840U: Approximate power consumption of 53610 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 56605 Joules per run.

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-OnlyRyzen 7 7840UCore Ultra 7 155H400800120016002000SE +/- 2.38, N = 3SE +/- 0.62, N = 31363.861840.78
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1326395265Min: 2.28 / Avg: 32.93 / Max: 51.05Min: 1.62 / Avg: 32.09 / Max: 64.171. Ryzen 7 7840U: Approximate power consumption of 45101 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 59251 Joules per run.

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigRyzen 7 7840UCore Ultra 7 155H400800120016002000SE +/- 10.29, N = 3SE +/- 1.05, N = 31435.521638.81
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1326395265Min: 3.27 / Avg: 30.08 / Max: 50.98Min: 1.8 / Avg: 32.62 / Max: 64.251. Ryzen 7 7840U: Approximate power consumption of 43553 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 53800 Joules per run.

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: BLASRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 1.12, N = 9SE +/- 0.62, N = 994451. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.30CPU Power Consumption MonitorCore Ultra 7 155H1326395265Min: 1.41 / Avg: 31.7 / Max: 64.311. Core Ultra 7 155H: Approximate power consumption of 12030 Joules per run.

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeRyzen 7 7840UCore Ultra 7 155H70140210280350SE +/- 0.94, N = 3SE +/- 3.29, N = 3308.82280.931. chrome 120.0.6099.109
OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1122334455Min: 1.82 / Avg: 4.47 / Max: 45.76Min: 1.08 / Avg: 5.73 / Max: 56.151. Ryzen 7 7840U: Approximate power consumption of 6611 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3013 Joules per run.

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.07, N = 3SE +/- 0.08, N = 98.493.77MIN: 6.91 / MAX: 8.8MIN: 2.14 / MAX: 5.2
MinAvgMaxRyzen 7 7840U2.332.545.7Core Ultra 7 155H4.733.361.3OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 7494 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 15983 Joules per run.

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 UnionRyzen 7 7840UCore Ultra 7 155H30060090012001500SE +/- 2.21, N = 3SE +/- 2.40, N = 3376.501256.461. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
MinAvgMaxRyzen 7 7840U2.032.450.9Core Ultra 7 155H4.834.064.1OpenBenchmarking.orgWatts, Fewer Is BetterWhisper.cpp 1.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 12340 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 42812 Joules per run.

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.05, N = 3SE +/- 0.06, N = 98.503.92MIN: 6.64 / MAX: 8.87MIN: 2.17 / MAX: 5.21
MinAvgMaxRyzen 7 7840U3.132.545.9Core Ultra 7 155H2.733.759.4OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor16324864801. Ryzen 7 7840U: Approximate power consumption of 7444 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 15789 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H140K280K420K560K700KSE +/- 193.91, N = 3SE +/- 6506.82, N = 5454383656126
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1326395265Min: 3.56 / Avg: 32.4 / Max: 51.04Min: 1.44 / Avg: 32.41 / Max: 64.311. Ryzen 7 7840U: Approximate power consumption of 15140 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 21667 Joules per run.

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: EigenRyzen 7 7840UCore Ultra 7 155H1530456075SE +/- 0.58, N = 3SE +/- 0.57, N = 969391. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.30CPU Power Consumption MonitorCore Ultra 7 155H1326395265Min: 1.55 / Avg: 31.67 / Max: 64.271. Core Ultra 7 155H: Approximate power consumption of 12051 Joules per run.

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 TransformRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 9.92, N = 3SE +/- 6.03, N = 9633.5923.31. 3.10.7.0
MinAvgMaxRyzen 7 7840U6.821.148.9Core Ultra 7 155H1.425.762.4OpenBenchmarking.orgWatts, Fewer Is BetterGNU RadioCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 7713 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 9371 Joules per run.

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FM Deemphasis FilterRyzen 7 7840UCore Ultra 7 155H30060090012001500SE +/- 4.19, N = 3SE +/- 8.02, N = 91054.41288.01. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: IIR FilterRyzen 7 7840UCore Ultra 7 155H110220330440550SE +/- 2.30, N = 3SE +/- 2.25, N = 9478.6518.71. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FIR FilterRyzen 7 7840UCore Ultra 7 155H30060090012001500SE +/- 3.00, N = 3SE +/- 7.37, N = 91342.81055.31. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Signal Source (Cosine)Ryzen 7 7840UCore Ultra 7 155H10002000300040005000SE +/- 73.88, N = 3SE +/- 42.75, N = 94593.54261.61. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Five Back to Back FIR FiltersRyzen 7 7840UCore Ultra 7 155H30060090012001500SE +/- 12.25, N = 3SE +/- 22.01, N = 91418.71379.11. 3.10.7.0

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 ISPCRyzen 7 7840UCore Ultra 7 155H50100150200250SE +/- 0.33, N = 3SE +/- 2.00, N = 3247194MIN: 18 / MAX: 3308MIN: 10 / MAX: 2735
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1326395265Min: 3.73 / Avg: 32.21 / Max: 51.05Min: 1.46 / Avg: 31.96 / Max: 64.281. Ryzen 7 7840U: Approximate power consumption of 20794 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 23340 Joules per run.

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: FastestDetRyzen 7 7840UCore Ultra 7 155H1.30732.61463.92195.22926.5365SE +/- 0.03, N = 14SE +/- 0.35, N = 92.925.81MIN: 2.53 / MAX: 14.81MIN: 3.49 / MAX: 192.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
MinAvgMaxRyzen 7 7840U5.031.739.5Core Ultra 7 155H4.429.165.3OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20230517CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2391 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 10040 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.03, N = 15SE +/- 0.88, N = 96.0518.40MIN: 5.45 / MAX: 18.14MIN: 8.73 / MAX: 1249.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.13, N = 15SE +/- 0.28, N = 97.8712.73MIN: 6.63 / MAX: 40.31MIN: 7.98 / MAX: 760.971. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyRyzen 7 7840UCore Ultra 7 155H714212835SE +/- 0.18, N = 15SE +/- 1.63, N = 917.2128.65MIN: 15.85 / MAX: 32.09MIN: 20.27 / MAX: 806.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50Ryzen 7 7840UCore Ultra 7 155H714212835SE +/- 0.19, N = 15SE +/- 1.79, N = 913.2028.05MIN: 10.88 / MAX: 39.04MIN: 18.29 / MAX: 1282.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.07, N = 15SE +/- 0.67, N = 95.738.16MIN: 4.95 / MAX: 17.88MIN: 4.89 / MAX: 412.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18Ryzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.10, N = 15SE +/- 1.01, N = 95.8610.69MIN: 5.14 / MAX: 18.93MIN: 6.47 / MAX: 698.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16Ryzen 7 7840UCore Ultra 7 155H1224364860SE +/- 0.18, N = 15SE +/- 2.73, N = 941.1253.52MIN: 38.67 / MAX: 68.32MIN: 32.69 / MAX: 684.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.14, N = 15SE +/- 0.59, N = 98.2715.87MIN: 7.08 / MAX: 53.05MIN: 9.13 / MAX: 942.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceRyzen 7 7840UCore Ultra 7 155H0.42750.8551.28251.712.1375SE +/- 0.01, N = 15SE +/- 0.12, N = 90.791.90MIN: 0.74 / MAX: 2.88MIN: 1.4 / MAX: 4.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0Ryzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.02, N = 15SE +/- 0.44, N = 94.009.67MIN: 3.55 / MAX: 15.96MIN: 6.14 / MAX: 461.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.02, N = 15SE +/- 0.41, N = 92.567.08MIN: 2.27 / MAX: 15.42MIN: 3.88 / MAX: 392.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2Ryzen 7 7840UCore Ultra 7 155H1.27352.5473.82055.0946.3675SE +/- 0.01, N = 15SE +/- 0.27, N = 92.295.66MIN: 2.07 / MAX: 27.16MIN: 3.35 / MAX: 356.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3Ryzen 7 7840UCore Ultra 7 155H246810SE +/- 0.01, N = 15SE +/- 0.39, N = 92.686.83MIN: 2.38 / MAX: 13.63MIN: 3.77 / MAX: 568.91. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2Ryzen 7 7840UCore Ultra 7 155H246810SE +/- 0.01, N = 15SE +/- 0.44, N = 92.996.55MIN: 2.59 / MAX: 14.02MIN: 4.01 / MAX: 476.691. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.08, N = 15SE +/- 0.82, N = 910.5419.54MIN: 9.52 / MAX: 23.75MIN: 12.87 / MAX: 771.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 digitRyzen 7 7840UCore Ultra 7 155H160320480640800SE +/- 0.41, N = 3SE +/- 5.85, N = 3541.43719.831. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1326395265Min: 2.3 / Avg: 32.89 / Max: 50.92Min: 4.39 / Avg: 34.64 / Max: 64.211. Ryzen 7 7840U: Approximate power consumption of 17923 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 25047 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H70K140K210K280K350KSE +/- 252.76, N = 3SE +/- 2820.51, N = 8228806326459
MinAvgMaxRyzen 7 7840U1.631.951.0Core Ultra 7 155H1.532.364.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 7678 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 10945 Joules per run.

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152Ryzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.09, N = 3SE +/- 0.08, N = 912.546.08MIN: 9.91 / MAX: 13.32MIN: 2.91 / MAX: 7.76
MinAvgMaxRyzen 7 7840U3.232.347.7Core Ultra 7 155H4.434.063.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 4849 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 10394 Joules per run.

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-OnlyRyzen 7 7840UCore Ultra 7 155H120240360480600SE +/- 0.26, N = 3SE +/- 1.29, N = 3467.19572.73
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1326395265Min: 3.58 / Avg: 32.85 / Max: 51.04Min: 1.68 / Avg: 32.59 / Max: 64.141. Ryzen 7 7840U: Approximate power consumption of 15493 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 18807 Joules per run.

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 BoostingRyzen 7 7840UCore Ultra 7 155H50100150200250SE +/- 0.43, N = 3SE +/- 4.95, N = 1271.12208.951. (F9X) gfortran options: -O0
MinAvgMaxRyzen 7 7840U6.831.237.0Core Ultra 7 155H4.433.663.5OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 3123 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 7713 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.2.2Benchmark: TSNE MNIST DatasetRyzen 7 7840UCore Ultra 7 155H110220330440550SE +/- 0.32, N = 3SE +/- 0.25, N = 3219.82515.601. (F9X) gfortran options: -O0
MinAvgMaxRyzen 7 7840U6.732.750.9Core Ultra 7 155H4.429.964.1OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 9682 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 20740 Joules per run.

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: 32 - Renderer: Path Tracer - Acceleration: CPURyzen 7 7840UCore Ultra 7 155H120K240K360K480K600KSE +/- 105.51, N = 3SE +/- 1095.22, N = 3381796559566
MinAvgMaxRyzen 7 7840U2.932.351.0Core Ultra 7 155H1.732.465.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 12745 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 18544 Joules per run.

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-Poly1305Ryzen 7 7840UCore Ultra 7 155H8000M16000M24000M32000M40000MSE +/- 15102420.85, N = 3SE +/- 183459477.47, N = 1236409327160175749838861. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxRyzen 7 7840U2.932.751.0Core Ultra 7 155H4.133.464.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6020 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6154 Joules per run.

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 AdultRyzen 7 7840UCore Ultra 7 155H50100150200250SE +/- 0.17, N = 3SE +/- 6.09, N = 1149.65206.641. (F9X) gfortran options: -O0
MinAvgMaxRyzen 7 7840U6.830.033.6Core Ultra 7 155H3.932.656.0OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor16324864801. Ryzen 7 7840U: Approximate power consumption of 2186 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 7438 Joules per run.

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: WritesRyzen 7 7840UCore Ultra 7 155H15K30K45K60K75KSE +/- 308.66, N = 3SE +/- 2393.89, N = 126543968321
MinAvgMaxRyzen 7 7840U3.126.651.0Core Ultra 7 155H4.029.964.1OpenBenchmarking.orgWatts, Fewer Is BetterScyllaDB 5.2.9CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 4355 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 5267 Joules per run.

Timed Godot Game Engine Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileRyzen 7 7840UCore Ultra 7 155H100200300400500SE +/- 0.52, N = 3SE +/- 2.91, N = 3421.55455.17
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1326395265Min: 3.4 / Avg: 31.67 / Max: 51.1Min: 1.79 / Avg: 31.89 / Max: 64.071. Ryzen 7 7840U: Approximate power consumption of 13511 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 14671 Joules per run.

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastRyzen 7 7840UCore Ultra 7 155H0.92721.85442.78163.70884.636SE +/- 0.006, N = 3SE +/- 0.034, N = 124.1213.3911. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxRyzen 7 7840U3.732.150.9Core Ultra 7 155H1.432.964.5OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 4833 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 5974 Joules per run.

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 DepthRyzen 7 7840UCore Ultra 7 155H7M14M21M28M35MSE +/- 1331554.79, N = 12SE +/- 306334.24, N = 43260531325109174
OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption MonitorRyzen 7 7840UCore Ultra 7 155H1326395265Min: 3.18 / Avg: 32.55 / Max: 50.98Min: 1.58 / Avg: 32.38 / Max: 64.381. Ryzen 7 7840U: Approximate power consumption of 4736 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6969 Joules per run.

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: ChaCha20Ryzen 7 7840UCore Ultra 7 155H11000M22000M33000M44000M55000MSE +/- 10619881.22, N = 3SE +/- 189080382.65, N = 1151574280377254963091641. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxRyzen 7 7840U3.132.751.0Core Ultra 7 155H4.133.664.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6022 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6188 Joules per run.

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152Ryzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.02, N = 3SE +/- 0.06, N = 712.566.20MIN: 11.12 / MAX: 13.19MIN: 3.26 / MAX: 7.73
MinAvgMaxRyzen 7 7840U3.332.347.6Core Ultra 7 155H4.733.960.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor16324864801. Ryzen 7 7840U: Approximate power consumption of 4830 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 10232 Joules per run.

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 7Ryzen 7 7840UCore Ultra 7 155H0.01350.0270.04050.0540.0675SE +/- 0.00, N = 3SE +/- 0.00, N = 30.060.061. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxRyzen 7 7840U3.532.751.1Core Ultra 7 155H1.933.564.1OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 12892 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 14401 Joules per run.

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-OnlyRyzen 7 7840UCore Ultra 7 155H100200300400500SE +/- 0.50, N = 3SE +/- 1.66, N = 3363.54438.91
MinAvgMaxRyzen 7 7840U2.132.851.0Core Ultra 7 155H1.532.564.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 12070 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 14429 Joules per run.

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 WindshieldRyzen 7 7840UCore Ultra 7 155H100200300400500SE +/- 0.72, N = 3SE +/- 4.62, N = 3318.30452.85
MinAvgMaxRyzen 7 7840U3.232.751.0Core Ultra 7 155H1.632.864.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 10599 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 15040 Joules per run.

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 ForestRyzen 7 7840UCore Ultra 7 155H50100150200250SE +/- 0.47, N = 3SE +/- 0.25, N = 3223.47244.331. (F9X) gfortran options: -O0
MinAvgMaxRyzen 7 7840U6.817.621.1Core Ultra 7 155H4.122.729.9OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 5993 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 8400 Joules per run.

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: CoreRyzen 7 7840UCore Ultra 7 155H30K60K90K120K150KSE +/- 290.67, N = 3SE +/- 2488.39, N = 12994141466961. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
MinAvgMaxRyzen 7 7840U6.619.150.0Core Ultra 7 155H4.127.264.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenCV 4.7CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1977 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4099 Joules per run.

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_timeRyzen 7 7840UCore Ultra 7 155H0.841.682.523.364.2SE +/- 0.00268, N = 3SE +/- 0.03548, N = 123.041953.73350
MinAvgMaxRyzen 7 7840U2.332.550.9Core Ultra 7 155H1.532.964.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 3957 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4689 Joules per run.

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 UnionRyzen 7 7840UCore Ultra 7 155H80160240320400SE +/- 0.81, N = 3SE +/- 4.62, N = 4134.79379.921. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
MinAvgMaxRyzen 7 7840U3.732.451.0Core Ultra 7 155H4.834.064.0OpenBenchmarking.orgWatts, Fewer Is BetterWhisper.cpp 1.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 4497 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 13041 Joules per run.

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 SkylineRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 1.10, N = 4SE +/- 1.07, N = 1589.0595.30
MinAvgMaxRyzen 7 7840U6.832.151.0Core Ultra 7 155H4.432.564.3OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2981 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3231 Joules per run.

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyRyzen 7 7840UCore Ultra 7 155H100200300400500364.24483.94
MinAvgMaxRyzen 7 7840U2.732.851.1Core Ultra 7 155H1.832.164.3OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU 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: Rubber O-Ring Seal InstallationRyzen 7 7840UCore Ultra 7 155H70140210280350SE +/- 0.21, N = 3SE +/- 1.30, N = 3201.54331.70
MinAvgMaxRyzen 7 7840U3.232.451.0Core Ultra 7 155H1.632.664.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6737 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 11020 Joules per run.

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: CryptoNight-Femto UPX2 - Hash Count: 1MRyzen 7 7840UCore Ultra 7 155H9001800270036004500SE +/- 6.97, N = 3SE +/- 11.05, N = 33507.24160.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxRyzen 7 7840U3.430.442.6Core Ultra 7 155H1.831.564.1OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 8872 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 7801 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MRyzen 7 7840UCore Ultra 7 155H9001800270036004500SE +/- 11.00, N = 3SE +/- 7.29, N = 33488.64197.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxRyzen 7 7840U3.530.245.2Core Ultra 7 155H1.732.364.1OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 8857 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 7933 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MRyzen 7 7840UCore Ultra 7 155H9001800270036004500SE +/- 11.56, N = 3SE +/- 8.42, N = 33519.14181.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxRyzen 7 7840U3.331.446.5Core Ultra 7 155H1.631.764.1OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 9145 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 7798 Joules per run.

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MRyzen 7 7840UCore Ultra 7 155H9001800270036004500SE +/- 11.21, N = 3SE +/- 51.18, N = 33501.64307.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxRyzen 7 7840U3.531.450.9Core Ultra 7 155H1.634.364.1OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 9165 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 8202 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H20K40K60K80K100KSE +/- 41.73, N = 3SE +/- 551.82, N = 156067781072
MinAvgMaxRyzen 7 7840U3.329.351.0Core Ultra 7 155H1.632.464.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2151 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3041 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPURyzen 7 7840UCore Ultra 7 155H60K120K180K240K300KSE +/- 194.66, N = 3SE +/- 992.05, N = 3193022278225
MinAvgMaxRyzen 7 7840U3.131.651.0Core Ultra 7 155H1.632.664.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6496 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 9483 Joules per run.

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.0288, N = 3SE +/- 0.0775, N = 1511.21279.0716MIN: 11.07 / MAX: 12.86MIN: 7.78 / MAX: 12.6
MinAvgMaxRyzen 7 7840U3.832.151.0Core Ultra 7 155H1.533.264.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2266 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2914 Joules per run.

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 PhaseRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 18.90, N = 3SE +/- 1.53, N = 31084.31054.9
MinAvgMaxRyzen 7 7840U6.722.249.8Core Ultra 7 155H1.521.128.7OpenBenchmarking.orgWatts, Fewer Is BetterLuaRadio 0.9.1CPU Power Consumption Monitor14284256701. Ryzen 7 7840U: Approximate power consumption of 5433 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 5168 Joules per run.

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.23, N = 3SE +/- 0.84, N = 3129.1184.7

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterRyzen 7 7840UCore Ultra 7 155H120240360480600SE +/- 1.01, N = 3SE +/- 17.44, N = 3443.5553.6

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersRyzen 7 7840UCore Ultra 7 155H400800120016002000SE +/- 5.35, N = 3SE +/- 4.56, N = 31645.2580.0

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 BeamRyzen 7 7840UCore Ultra 7 155H60120180240300SE +/- 0.63, N = 3SE +/- 3.72, N = 3181.10292.58
MinAvgMaxRyzen 7 7840U2.532.451.0Core Ultra 7 155H1.533.364.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6055 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 9919 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H11002200330044005500SE +/- 7.21, N = 3SE +/- 34.75, N = 1335655095
MinAvgMaxRyzen 7 7840U3.229.851.0Core Ultra 7 155H1.532.464.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2506 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3044 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H0.29250.5850.87751.171.4625SE +/- 0.01, N = 6SE +/- 0.01, N = 151.300.98MIN: 0.33 / MAX: 1.66MIN: 0.23 / MAX: 1.36
MinAvgMaxRyzen 7 7840U2.731.951.0Core Ultra 7 155H1.533.163.8OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2129 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2241 Joules per run.

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152Ryzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.06, N = 3SE +/- 0.32, N = 920.149.52MIN: 17.16 / MAX: 20.95MIN: 3.59 / MAX: 13.21
MinAvgMaxRyzen 7 7840U3.231.247.1Core Ultra 7 155H4.532.660.6OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1923 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4128 Joules per run.

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_timeRyzen 7 7840UCore Ultra 7 155H0.84711.69422.54133.38844.2355SE +/- 0.00280, N = 3SE +/- 0.04340, N = 43.035003.76482
MinAvgMaxRyzen 7 7840U2.832.751.0Core Ultra 7 155H1.633.263.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 5641 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6441 Joules per run.

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-OnlyRyzen 7 7840UCore Ultra 7 155H50100150200250SE +/- 0.58, N = 3SE +/- 1.37, N = 3186.07231.90
MinAvgMaxRyzen 7 7840U2.032.651.1Core Ultra 7 155H1.732.564.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6206 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 7712 Joules per run.

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 CADRyzen 7 7840UCore Ultra 7 155H50100150200250SE +/- 2.15, N = 3SE +/- 1.27, N = 3234.01169.88
MinAvgMaxRyzen 7 7840U6.733.056.6Core Ultra 7 155H4.434.965.5OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 7682 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6058 Joules per run.

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 DemandRyzen 7 7840UCore Ultra 7 155H1122334455SE +/- 0.04, N = 3SE +/- 0.02, N = 350.2935.591. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxRyzen 7 7840U3.431.943.8Core Ultra 7 155H1.633.555.5OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor15304560751. Ryzen 7 7840U: Approximate power consumption of 5492 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 7914 Joules per run.

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50Ryzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 322.1914.97
MinAvgMaxRyzen 7 7840U2.732.348.6Core Ultra 7 155H4.933.458.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor16324864801. Ryzen 7 7840U: Approximate power consumption of 5366 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 8065 Joules per run.

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: PlatformRyzen 7 7840UCore Ultra 7 155H1122334455SE +/- 0.03, N = 3SE +/- 0.09, N = 350.3435.781. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxRyzen 7 7840U2.432.045.2Core Ultra 7 155H1.633.753.7OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor15304560751. Ryzen 7 7840U: Approximate power consumption of 5497 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 7908 Joules per run.

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_timeRyzen 7 7840UCore Ultra 7 155H0.75821.51642.27463.03283.791SE +/- 0.00992, N = 3SE +/- 0.02264, N = 153.369882.34088
MinAvgMaxRyzen 7 7840U3.431.750.9Core Ultra 7 155H1.532.464.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2709 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2154 Joules per run.

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: KostyaRyzen 7 7840UCore Ultra 7 155H1.14082.28163.42244.56325.704SE +/- 0.02, N = 3SE +/- 0.04, N = 155.074.161. (CXX) g++ options: -O3
MinAvgMaxRyzen 7 7840U3.118.220.2Core Ultra 7 155H1.422.329.0OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 1838 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1402 Joules per run.

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: 1MRyzen 7 7840UCore Ultra 7 155H11002200330044005500SE +/- 20.29, N = 3SE +/- 33.68, N = 35210.95271.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxRyzen 7 7840U3.729.344.5Core Ultra 7 155H1.633.064.1OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 5825 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6485 Joules per run.

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedRyzen 7 7840UCore Ultra 7 155H30060090012001500SE +/- 10.67, N = 3SE +/- 10.21, N = 151397.51562.8-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxRyzen 7 7840U3.118.027.6Core Ultra 7 155H1.427.350.3OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor14284256701. Ryzen 7 7840U: Approximate power consumption of 1241 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1852 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.01, N = 3SE +/- 0.06, N = 156.326.60-llzma1. (CC) gcc options: -O3 -pthread -lz

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 CompileRyzen 7 7840UCore Ultra 7 155H1530456075SE +/- 0.04, N = 3SE +/- 0.65, N = 1555.7965.49
MinAvgMaxRyzen 7 7840U2.630.351.0Core Ultra 7 155H1.732.064.4OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1908 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2259 Joules per run.

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_bareRyzen 7 7840UCore Ultra 7 155H0.22640.45280.67920.90561.132SE +/- 0.002, N = 3SE +/- 0.007, N = 31.0060.8891. (CXX) g++ options: -O3
MinAvgMaxRyzen 7 7840U1.532.350.9Core Ultra 7 155H1.534.964.9OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 5863 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 7289 Joules per run.

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_timeRyzen 7 7840UCore Ultra 7 155H0.63281.26561.89842.53123.164SE +/- 0.00291, N = 3SE +/- 0.02189, N = 152.812351.66251
MinAvgMaxRyzen 7 7840U3.631.150.9Core Ultra 7 155H1.632.064.3OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1827 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2213 Joules per run.

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.03, N = 3SE +/- 0.09, N = 1513.8011.61MIN: 13.67 / MAX: 15.06MIN: 10.89 / MAX: 15.03
MinAvgMaxRyzen 7 7840U3.431.750.9Core Ultra 7 155H1.632.564.3OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1860 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2245 Joules per run.

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: LuxCore Benchmark - Acceleration: CPURyzen 7 7840UCore Ultra 7 155H0.33750.6751.01251.351.6875SE +/- 0.01, N = 3SE +/- 0.01, N = 151.501.18MIN: 0.42 / MAX: 1.87MIN: 0.28 / MAX: 1.57
MinAvgMaxRyzen 7 7840U3.431.950.9Core Ultra 7 155H1.533.764.0OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2145 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2273 Joules per run.

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 1.59, N = 3SE +/- 7.14, N = 15405.331105.08-shared -ldl - MIN: 342.91 / MAX: 427.35-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 458.17 / MAX: 1748.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 7 7840U2.631.651.2Core Ultra 7 155H2.733.264.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2098 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2240 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.04, N = 3SE +/- 0.04, N = 159.866.30-shared -ldl-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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_timeRyzen 7 7840UCore Ultra 7 155H0.60611.21221.81832.42443.0305SE +/- 0.00731, N = 3SE +/- 0.01648, N = 152.693611.60249
MinAvgMaxRyzen 7 7840U3.531.250.9Core Ultra 7 155H1.532.064.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1850 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2191 Joules per run.

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedRyzen 7 7840UCore Ultra 7 155H400800120016002000SE +/- 6.27, N = 15SE +/- 21.32, N = 31896.51861.9-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxRyzen 7 7840U2.726.641.5Core Ultra 7 155H1.533.660.7OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1766 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2248 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedRyzen 7 7840UCore Ultra 7 155H100200300400500SE +/- 1.77, N = 15SE +/- 6.52, N = 3217.6467.2-llzma1. (CC) gcc options: -O3 -pthread -lz

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 7Ryzen 7 7840UCore Ultra 7 155H0.02930.05860.08790.11720.1465SE +/- 0.00, N = 3SE +/- 0.00, N = 30.130.131. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxRyzen 7 7840U2.832.551.0Core Ultra 7 155H1.535.164.3OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6119 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6768 Joules per run.

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 V2Ryzen 7 7840UCore Ultra 7 155H30K60K90K120K150KSE +/- 31.14, N = 3SE +/- 2108.23, N = 1530731.6125552.0
MinAvgMaxRyzen 7 7840U3.031.951.0Core Ultra 7 155H4.633.764.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2076 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2211 Joules per run.

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: BedroomRyzen 7 7840UCore Ultra 7 155H0.42350.8471.27051.6942.1175SE +/- 0.001, N = 3SE +/- 0.016, N = 151.8821.288
MinAvgMaxRyzen 7 7840U3.331.851.0Core Ultra 7 155H4.333.564.3OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2090 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2197 Joules per run.

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarRyzen 7 7840UCore Ultra 7 155H0.93651.8732.80953.7464.6825SE +/- 0.010, N = 3SE +/- 0.039, N = 154.1623.451
MinAvgMaxRyzen 7 7840U2.331.851.0Core Ultra 7 155H4.332.964.7OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2089 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2148 Joules per run.

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPURyzen 7 7840UCore Ultra 7 155H80160240320400SE +/- 0.05, N = 3SE +/- 3.66, N = 15113.02358.29-shared -ldl - MIN: 75.9 / MAX: 137.69-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 189.82 / MAX: 500.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 7 7840U3.331.848.7Core Ultra 7 155H4.432.365.6OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2081 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2109 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPURyzen 7 7840UCore Ultra 7 155H816243240SE +/- 0.02, N = 3SE +/- 0.20, N = 1535.3519.52-shared -ldl-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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: CPURyzen 7 7840UCore Ultra 7 155H0.42530.85061.27591.70122.1265SE +/- 0.01, N = 3SE +/- 0.01, N = 151.891.78MIN: 1.77 / MAX: 2.17MIN: 1.58 / MAX: 2.36
MinAvgMaxRyzen 7 7840U3.032.051.1Core Ultra 7 155H1.433.464.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2099 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2173 Joules per run.

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H306090120150SE +/- 0.06, N = 3SE +/- 1.18, N = 1538.05154.63-shared -ldl - MIN: 23.35 / MAX: 47.88-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 82.86 / MAX: 237.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 7 7840U2.631.951.2Core Ultra 7 155H4.033.064.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2073 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2139 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H50100150200250SE +/- 0.26, N = 3SE +/- 0.85, N = 15208.88109.71-shared -ldl-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7 7840UCore Ultra 7 155H714212835SE +/- 0.01, N = 3SE +/- 0.24, N = 158.3029.74-shared -ldl - MIN: 4.8 / MAX: 23.8-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 13.33 / MAX: 63.081. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 7 7840U2.031.951.1Core Ultra 7 155H4.432.964.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2075 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2130 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPURyzen 7 7840UCore Ultra 7 155H100200300400500SE +/- 0.36, N = 3SE +/- 1.90, N = 15480.01234.99-shared -ldl-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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: UploadRyzen 7 7840UCore Ultra 7 155H612182430SE +/- 0.06, N = 3SE +/- 0.05, N = 325.0418.241. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxRyzen 7 7840U3.328.849.5Core Ultra 7 155H1.532.561.4OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 4659 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6790 Joules per run.

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 TestRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 1.66, N = 3SE +/- 1.29, N = 3183.65178.18
MinAvgMaxRyzen 7 7840U2.831.544.2Core Ultra 7 155H1.735.460.5OpenBenchmarking.orgWatts, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 5931 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6451 Joules per run.

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H612182430SE +/- 0.01, N = 3SE +/- 0.22, N = 158.0925.89-shared -ldl - MIN: 3.61 / MAX: 21.87-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 12.01 / MAX: 76.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 7 7840U3.632.051.0Core Ultra 7 155H4.033.064.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2069 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2122 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 1.60, N = 3SE +/- 5.39, N = 15976.27648.24-shared -ldl-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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 RandomRyzen 7 7840UCore Ultra 7 155H110K220K330K440K550KSE +/- 1108.04, N = 3SE +/- 2110.32, N = 155230263044821. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxRyzen 7 7840U2.632.151.0Core Ultra 7 155H3.833.464.1OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2054 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2143 Joules per run.

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: SHA256Ryzen 7 7840UCore Ultra 7 155H3000M6000M9000M12000M15000MSE +/- 19132130.90, N = 3SE +/- 13390368.16, N = 313561693343134115954971. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxRyzen 7 7840U2.832.650.9Core Ultra 7 155H3.735.364.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6013 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6501 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMRyzen 7 7840UCore Ultra 7 155H20000M40000M60000M80000M100000MSE +/- 34473975.03, N = 3SE +/- 242801059.98, N = 382977408523516681898201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxRyzen 7 7840U3.232.651.0Core Ultra 7 155H4.333.964.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6008 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6245 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMRyzen 7 7840UCore Ultra 7 155H20000M40000M60000M80000M100000MSE +/- 143047725.80, N = 3SE +/- 806092335.86, N = 396136297313567469096031. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxRyzen 7 7840U3.232.751.0Core Ultra 7 155H4.133.964.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6015 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6256 Joules per run.

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Ryzen 7 7840UCore Ultra 7 155H900M1800M2700M3600M4500MSE +/- 1103382.53, N = 3SE +/- 15610792.14, N = 3441069277342316038201. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxRyzen 7 7840U3.432.750.9Core Ultra 7 155H4.034.464.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 6007 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6334 Joules per run.

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 V4Ryzen 7 7840UCore Ultra 7 155H16K32K48K64K80KSE +/- 123.63, N = 3SE +/- 942.37, N = 1332952.473566.5
MinAvgMaxRyzen 7 7840U2.931.248.5Core Ultra 7 155H4.233.165.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2030 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2151 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H0.69751.3952.09252.793.4875SE +/- 0.01, N = 3SE +/- 0.02, N = 123.102.85MIN: 3.02 / MAX: 3.47MIN: 2.58 / MAX: 3.71
MinAvgMaxRyzen 7 7840U2.831.851.0Core Ultra 7 155H1.533.564.3OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2160 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2318 Joules per run.

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_timeRyzen 7 7840UCore Ultra 7 155H306090120150SE +/- 0.06, N = 3SE +/- 0.60, N = 3120.10108.37
MinAvgMaxRyzen 7 7840U2.532.751.1Core Ultra 7 155H1.533.365.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 5290 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 5698 Joules per run.

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-OnlyRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.19, N = 3SE +/- 1.67, N = 3145.91160.08
MinAvgMaxRyzen 7 7840U2.932.551.0Core Ultra 7 155H1.532.664.2OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 4888 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 5386 Joules per run.

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 FloatRyzen 7 7840UCore Ultra 7 155H8001600240032004000SE +/- 2.40, N = 3SE +/- 57.37, N = 121690.543694.57
MinAvgMaxRyzen 7 7840U3.231.748.4Core Ultra 7 155H4.535.264.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2061 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2274 Joules per run.

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 WritingRyzen 7 7840UCore Ultra 7 155H400K800K1200K1600K2000KSE +/- 8086.24, N = 3SE +/- 60495.91, N = 12177416116042291. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxRyzen 7 7840U3.132.151.0Core Ultra 7 155H4.233.564.3OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2064 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2148 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H40K80K120K160K200KSE +/- 118.90, N = 3SE +/- 753.91, N = 3117411165339
MinAvgMaxRyzen 7 7840U3.230.951.0Core Ultra 7 155H1.432.664.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 4023 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 5817 Joules per run.

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Material TesterRyzen 7 7840UCore Ultra 7 155H60120180240300196.02256.34
MinAvgMaxRyzen 7 7840U2.132.851.1Core Ultra 7 155H1.933.465.6OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 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: 0Ryzen 7 7840UCore Ultra 7 155H306090120150SE +/- 0.08, N = 3SE +/- 0.55, N = 3142.15155.331. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 7 7840U2.929.751.0Core Ultra 7 155H4.332.264.2OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 4348 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 5121 Joules per run.

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialRyzen 7 7840UCore Ultra 7 155H50100150200250210.08231.82
MinAvgMaxRyzen 7 7840U2.332.751.0Core Ultra 7 155H1.733.664.0OpenBenchmarking.orgWatts, Fewer Is BetterAppleseed 2.0 BetaCPU Power Consumption Monitor20406080100

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: defconfigRyzen 7 7840UCore Ultra 7 155H306090120150SE +/- 0.64, N = 3SE +/- 1.38, N = 4112.58127.61
MinAvgMaxRyzen 7 7840U3.129.951.0Core Ultra 7 155H1.632.764.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 3692 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4475 Joules per run.

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 ReadRyzen 7 7840UCore Ultra 7 155H13M26M39M52M65MSE +/- 204364.81, N = 3SE +/- 439126.31, N = 1154818670595359591. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxRyzen 7 7840U2.831.951.0Core Ultra 7 155H4.533.864.3OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2065 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2167 Joules per run.

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 TestRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.25, N = 3SE +/- 1.79, N = 3110.21158.81
MinAvgMaxRyzen 7 7840U2.931.851.0Core Ultra 7 155H1.632.964.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 3777 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 5501 Joules per run.

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 RegressionRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.05, N = 3SE +/- 0.19, N = 396.58108.321. (F9X) gfortran options: -O0
MinAvgMaxRyzen 7 7840U6.820.643.7Core Ultra 7 155H4.026.164.0OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2764 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3908 Joules per run.

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.08, N = 3SE +/- 0.03, N = 311.976.65MIN: 11.15 / MAX: 12.35MIN: 2.63 / MAX: 9.58
MinAvgMaxRyzen 7 7840U2.031.845.9Core Ultra 7 155H4.934.757.0OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor16324864801. Ryzen 7 7840U: Approximate power consumption of 3183 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 6195 Joules per run.

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H0.28350.5670.85051.1341.4175SE +/- 0.00, N = 3SE +/- 0.01, N = 100.381.26-shared -ldl - MIN: 0.19 / MAX: 7.48-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 0.38 / MAX: 8.731. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 7 7840U2.431.951.1Core Ultra 7 155H4.433.664.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2064 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2163 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H4K8K12K16K20KSE +/- 2.89, N = 3SE +/- 92.94, N = 1018984.5512364.87-shared -ldl-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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: RSA4096Ryzen 7 7840UCore Ultra 7 155H30K60K90K120K150KSE +/- 140.48, N = 3SE +/- 451.59, N = 10154053.0138795.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxRyzen 7 7840U3.431.951.2Core Ultra 7 155H3.834.464.4OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2065 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2211 Joules per run.

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Ryzen 7 7840UCore Ultra 7 155H11002200330044005500SE +/- 23.60, N = 3SE +/- 16.23, N = 105348.92138.81. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

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: CPURyzen 7 7840UCore Ultra 7 155H30K60K90K120K150KSE +/- 209.80, N = 3SE +/- 1191.59, N = 398985140557
MinAvgMaxRyzen 7 7840U3.430.551.0Core Ultra 7 155H1.532.564.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 3416 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4966 Joules per run.

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 4KRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.19, N = 3SE +/- 0.13, N = 1513.3714.401. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxRyzen 7 7840U3.231.047.4Core Ultra 7 155H1.533.163.9OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1528 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1520 Joules per run.

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 FastRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.03, N = 3SE +/- 0.14, N = 1517.8013.91
MinAvgMaxRyzen 7 7840U3.331.249.6Core Ultra 7 155H1.532.862.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1185 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1553 Joules per run.

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.CRyzen 7 7840UCore Ultra 7 155H6K12K18K24K30KSE +/- 17.60, N = 3SE +/- 115.37, N = 320064.3227810.561. (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
MinAvgMaxRyzen 7 7840U3.232.035.1Core Ultra 7 155H1.733.364.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 4775 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3613 Joules per run.

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 ChangepointRyzen 7 7840UCore Ultra 7 155H714212835SE +/- 0.25, N = 15SE +/- 0.49, N = 1225.3729.20
MinAvgMaxRyzen 7 7840U6.729.851.1Core Ultra 7 155H3.933.864.3OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 877 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1124 Joules per run.

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 FastRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.06, N = 3SE +/- 0.15, N = 1518.8614.77
MinAvgMaxRyzen 7 7840U3.131.250.3Core Ultra 7 155H1.632.762.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1125 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1461 Joules per run.

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 2.84, N = 3SE +/- 0.65, N = 3200.98180.141. firefox 120.0.1
MinAvgMaxRyzen 7 7840U2.917.045.4Core Ultra 7 155H1.822.657.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor16324864801. Ryzen 7 7840U: Approximate power consumption of 2052 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2729 Joules per run.

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 TimeRyzen 7 7840UCore Ultra 7 155H6M12M18M24M30MSE +/- 317672.24, N = 3SE +/- 215349.47, N = 32615180020429072-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
MinAvgMaxRyzen 7 7840U3.432.351.0Core Ultra 7 155H1.632.964.1OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 15CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 3038 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4633 Joules per run.

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: SqueezeNetRyzen 7 7840UCore Ultra 7 155H13002600390052006500SE +/- 22.28, N = 7SE +/- 63.74, N = 42363.216109.59
MinAvgMaxRyzen 7 7840U2.429.551.0Core Ultra 7 155H4.433.865.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1898 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2200 Joules per run.

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 BenchmarkRyzen 7 7840UCore Ultra 7 155H140280420560700SE +/- 1.52, N = 3SE +/- 3.14, N = 3657.86593.50
MinAvgMaxRyzen 7 7840U2.716.320.8Core Ultra 7 155H1.621.530.3OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 1888 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2464 Joules per run.

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: 1024Ryzen 7 7840UCore Ultra 7 155H0.34110.68221.02331.36441.7055SE +/- 0.007666, N = 3SE +/- 0.001506, N = 31.5067661.5161411. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxRyzen 7 7840U6.731.643.3Core Ultra 7 155H4.734.263.5OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 3562 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4007 Joules per run.

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: ExhaustiveRyzen 7 7840UCore Ultra 7 155H0.15060.30120.45180.60240.753SE +/- 0.0007, N = 3SE +/- 0.0068, N = 50.66930.61251. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxRyzen 7 7840U2.731.651.0Core Ultra 7 155H4.434.064.2OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2527 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3022 Joules per run.

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Ryzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.02, N = 3SE +/- 0.12, N = 321.8614.34
MinAvgMaxRyzen 7 7840U2.431.749.6Core Ultra 7 155H4.434.155.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor15304560751. Ryzen 7 7840U: Approximate power consumption of 2797 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4436 Joules per run.

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyRyzen 7 7840UCore Ultra 7 155H0.07650.1530.22950.3060.3825SE +/- 0.00, N = 3SE +/- 0.00, N = 30.340.25
MinAvgMaxRyzen 7 7840U2.732.350.5Core Ultra 7 155H1.633.061.0OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2938 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4159 Joules per run.

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.01, N = 3SE +/- 0.17, N = 1521.9116.831. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxRyzen 7 7840U3.731.149.4Core Ultra 7 155H1.532.261.9OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 984 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1283 Joules per run.

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 OSERyzen 7 7840UCore Ultra 7 155H816243240SE +/- 0.14, N = 3SE +/- 0.40, N = 1535.2333.47
MinAvgMaxRyzen 7 7840U7.023.551.0Core Ultra 7 155H3.832.564.3OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 934 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1218 Joules per run.

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H1326395265SE +/- 0.13, N = 3SE +/- 0.54, N = 723.2958.18-shared -ldl - MIN: 11.62 / MAX: 32.63-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 27.84 / MAX: 100.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 7 7840U2.731.851.1Core Ultra 7 155H4.333.564.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2077 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2179 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.96, N = 3SE +/- 1.12, N = 7171.23120.16-shared -ldl-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.01, N = 3SE +/- 0.07, N = 74.747.59-shared -ldl - MIN: 2.39 / MAX: 62.84-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 2.77 / MAX: 23.671. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 7 7840U3.232.051.1Core Ultra 7 155H2.733.864.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2070 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2179 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H400800120016002000SE +/- 0.45, N = 3SE +/- 8.17, N = 71668.12916.95-shared -ldl-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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 SpeedRyzen 7 7840UCore Ultra 7 155H3K6K9K12K15KSE +/- 18.92, N = 3SE +/- 3.57, N = 916186.69662.61. (CC) gcc options: -O3
MinAvgMaxRyzen 7 7840U2.216.721.8Core Ultra 7 155H1.619.926.3OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 898 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1070 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedRyzen 7 7840UCore Ultra 7 155H1632486480SE +/- 0.68, N = 3SE +/- 0.55, N = 970.2067.521. (CC) gcc options: -O3

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KRyzen 7 7840UCore Ultra 7 155H0.8241.6482.4723.2964.12SE +/- 0.014, N = 3SE +/- 0.024, N = 83.6622.8771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxRyzen 7 7840U3.831.050.7Core Ultra 7 155H1.533.163.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1539 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2021 Joules per run.

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 FastRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.09, N = 3SE +/- 0.19, N = 1522.7218.33
MinAvgMaxRyzen 7 7840U3.230.949.8Core Ultra 7 155H1.633.163.1OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 949 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1220 Joules per run.

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedRyzen 7 7840UCore Ultra 7 155H400800120016002000SE +/- 4.26, N = 6SE +/- 16.19, N = 31872.81870.6-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxRyzen 7 7840U3.127.143.5Core Ultra 7 155H1.434.261.4OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1805 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2315 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedRyzen 7 7840UCore Ultra 7 155H100200300400500SE +/- 2.40, N = 6SE +/- 1.88, N = 3235.8445.3-llzma1. (CC) gcc options: -O3 -pthread -lz

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 PixelRyzen 7 7840UCore Ultra 7 155H1428425670SE +/- 0.03, N = 3SE +/- 0.61, N = 663.1260.121. (CC) gcc options: -lm -lpthread -O3
MinAvgMaxRyzen 7 7840U3.132.051.0Core Ultra 7 155H1.634.165.8OpenBenchmarking.orgWatts, Fewer Is BetterC-Ray 1.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2153 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2194 Joules per run.

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: bcryptRyzen 7 7840UCore Ultra 7 155H4K8K12K16K20KSE +/- 55.81, N = 3SE +/- 256.27, N = 151863114667-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt
MinAvgMaxRyzen 7 7840U2.531.050.9Core Ultra 7 155H1.533.964.1OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1074 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1160 Joules per run.

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishRyzen 7 7840UCore Ultra 7 155H4K8K12K16K20KSE +/- 54.04, N = 3SE +/- 202.87, N = 151864914680-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50Ryzen 7 7840UCore Ultra 7 155H714212835SE +/- 0.14, N = 3SE +/- 0.21, N = 329.2215.84MIN: 26.95 / MAX: 29.98MIN: 11.12 / MAX: 20.44
MinAvgMaxRyzen 7 7840U2.631.447.2Core Ultra 7 155H4.834.062.8OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2117 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4120 Joules per run.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50Ryzen 7 7840UCore Ultra 7 155H714212835SE +/- 0.10, N = 3SE +/- 0.03, N = 329.0316.02MIN: 26 / MAX: 29.84MIN: 13.73 / MAX: 18.42
MinAvgMaxRyzen 7 7840U3.331.347.1Core Ultra 7 155H4.434.861.0OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2120 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 4093 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H2K4K6K8K10KSE +/- 23.67, N = 3SE +/- 94.03, N = 4107938973
MinAvgMaxRyzen 7 7840U2.529.543.9Core Ultra 7 155H1.733.165.6OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2302 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2605 Joules per run.

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: 32Ryzen 7 7840UCore Ultra 7 155H120M240M360M480M600MSE +/- 1846085.95, N = 3SE +/- 2936005.47, N = 145638800004953464291. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U3.231.451.0Core Ultra 7 155H4.235.364.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1068 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1203 Joules per run.

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.01, N = 3SE +/- 0.00, N = 36.8513.30
MinAvgMaxRyzen 7 7840U2.815.416.5Core Ultra 7 155H1.46.58.3OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor5101520251. Ryzen 7 7840U: Approximate power consumption of 961 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 746 Joules per run.

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastRyzen 7 7840UCore Ultra 7 155H612182430SE +/- 0.11, N = 3SE +/- 0.24, N = 1527.4420.731. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxRyzen 7 7840U3.130.550.1Core Ultra 7 155H1.532.562.9OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 803 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1075 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H4K8K12K16K20KSE +/- 12.44, N = 3SE +/- 55.69, N = 31411519403
MinAvgMaxRyzen 7 7840U3.230.251.0Core Ultra 7 155H1.933.564.2OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 3072 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2425 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPURyzen 7 7840UCore Ultra 7 155H9001800270036004500SE +/- 6.17, N = 3SE +/- 58.73, N = 329904280
MinAvgMaxRyzen 7 7840U2.429.551.0Core Ultra 7 155H1.533.364.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2340 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3073 Joules per run.

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 MixingRyzen 7 7840UCore Ultra 7 155H0.46330.92661.38991.85322.3165SE +/- 0.005, N = 3SE +/- 0.003, N = 31.4522.059
MinAvgMaxRyzen 7 7840U6.818.720.8Core Ultra 7 155H4.223.727.5OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 1433 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2245 Joules per run.

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.010, N = 3SE +/- 0.043, N = 38.2076.8631. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxRyzen 7 7840U3.431.848.4Core Ultra 7 155H1.634.062.4OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2482 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3139 Joules per run.

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 QuantRyzen 7 7840UCore Ultra 7 155H12002400360048006000SE +/- 44.03, N = 3SE +/- 61.52, N = 53381.295506.56
MinAvgMaxRyzen 7 7840U3.632.050.9Core Ultra 7 155H4.235.164.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2069 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2267 Joules per run.

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H612182430SE +/- 0.01, N = 3SE +/- 0.27, N = 57.5724.44-shared -ldl - MIN: 3.81 / MAX: 24.08-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 11.36 / MAX: 49.161. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv
MinAvgMaxRyzen 7 7840U3.032.051.1Core Ultra 7 155H4.033.864.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2071 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2193 Joules per run.

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPURyzen 7 7840UCore Ultra 7 155H110220330440550SE +/- 0.91, N = 3SE +/- 3.17, N = 5525.96285.56-shared -ldl-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv

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 DatasetRyzen 7 7840UCore Ultra 7 155H1326395265SE +/- 0.04, N = 3SE +/- 0.17, N = 355.6355.811. (F9X) gfortran options: -O0
MinAvgMaxRyzen 7 7840U6.316.019.3Core Ultra 7 155H4.122.026.7OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 1326 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1848 Joules per run.

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxRyzen 7 7840UCore Ultra 7 155H130260390520650SE +/- 1.72, N = 3SE +/- 8.07, N = 15511.8617.01. firefox 120.0.1
MinAvgMaxRyzen 7 7840U3.010.620.5Core Ultra 7 155H1.610.423.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 315 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 312 Joules per run.

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.04, N = 3SE +/- 0.14, N = 311.8210.27MIN: 11.66 / MAX: 12.89MIN: 9.58 / MAX: 13.09
MinAvgMaxRyzen 7 7840U3.730.551.2Core Ultra 7 155H1.832.764.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2267 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2798 Joules per run.

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: 1e12Ryzen 7 7840UCore Ultra 7 155H612182430SE +/- 0.13, N = 3SE +/- 0.31, N = 1517.8526.711. (CXX) g++ options: -O3
MinAvgMaxRyzen 7 7840U3.230.351.0Core Ultra 7 155H1.433.765.6OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 667 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1036 Joules per run.

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FasterRyzen 7 7840UCore Ultra 7 155H714212835SE +/- 0.10, N = 3SE +/- 0.18, N = 1528.9223.541. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxRyzen 7 7840U2.230.147.3Core Ultra 7 155H1.633.557.0OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor16324864801. Ryzen 7 7840U: Approximate power consumption of 763 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1008 Joules per run.

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.11, N = 3SE +/- 0.07, N = 316.2618.601. firefox 120.0.1
MinAvgMaxRyzen 7 7840U2.914.620.5Core Ultra 7 155H1.817.927.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 1135 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1346 Joules per run.

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: 1024Ryzen 7 7840UCore Ultra 7 155H0.51561.03121.54682.06242.578SE +/- 0.010681, N = 3SE +/- 0.002371, N = 32.2824662.2914491. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxRyzen 7 7840U6.631.244.0Core Ultra 7 155H4.135.164.2OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2341 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2711 Joules per run.

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 CompileRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.03, N = 3SE +/- 0.06, N = 366.2376.74
MinAvgMaxRyzen 7 7840U3.128.951.0Core Ultra 7 155H1.830.864.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2035 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2508 Joules per run.

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KRyzen 7 7840UCore Ultra 7 155H714212835SE +/- 0.27, N = 3SE +/- 1.04, N = 1229.3321.511. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxRyzen 7 7840U3.629.751.3Core Ultra 7 155H1.532.264.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 772 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1100 Joules per run.

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 - GriddingRyzen 7 7840UCore Ultra 7 155H6001200180024003000SE +/- 15.01, N = 2SE +/- 60.29, N = 32806.451494.151. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
MinAvgMaxRyzen 7 7840U3.029.947.6Core Ultra 7 155H4.332.964.1OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1527 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 3824 Joules per run.

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingRyzen 7 7840UCore Ultra 7 155H6001200180024003000SE +/- 35.04, N = 3SE +/- 16.69, N = 32753.291246.981. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

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: SharpenRyzen 7 7840UCore Ultra 7 155H306090120150SE +/- 0.33, N = 3SE +/- 1.75, N = 4105144-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxRyzen 7 7840U2.831.950.3Core Ultra 7 155H1.635.962.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2066 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2317 Joules per run.

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-StreamRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 1.12, N = 3SE +/- 2.88, N = 3323.94968.92
MinAvgMaxRyzen 7 7840U3.225.051.0Core Ultra 7 155H4.130.964.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1827 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2328 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.0390, N = 3SE +/- 0.0269, N = 39.24267.0929

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.smt2Ryzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.01, N = 3SE +/- 0.48, N = 361.1777.011. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
MinAvgMaxRyzen 7 7840U2.915.317.4Core Ultra 7 155H1.521.725.8OpenBenchmarking.orgWatts, Fewer Is BetterZ3 Theorem Prover 4.12.1CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 1003 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1767 Joules per run.

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedRyzen 7 7840UCore Ultra 7 155H30060090012001500SE +/- 5.32, N = 3SE +/- 23.65, N = 31315.01624.3-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxRyzen 7 7840U2.922.137.6Core Ultra 7 155H1.530.156.2OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor16324864801. Ryzen 7 7840U: Approximate power consumption of 1614 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2214 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.09, N = 3SE +/- 0.15, N = 311.511.8-llzma1. (CC) gcc options: -O3 -pthread -lz

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: 2Ryzen 7 7840UCore Ultra 7 155H1632486480SE +/- 0.11, N = 3SE +/- 0.68, N = 366.5670.941. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 7 7840U3.728.351.0Core Ultra 7 155H4.132.664.2OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2010 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2444 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H15K30K45K60K75KSE +/- 72.88, N = 3SE +/- 825.98, N = 35147468004
MinAvgMaxRyzen 7 7840U3.728.751.0Core Ultra 7 155H1.633.264.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1836 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2692 Joules per run.

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FastRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.01, N = 3SE +/- 0.11, N = 513.6411.141. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxRyzen 7 7840U3.131.549.7Core Ultra 7 155H1.633.962.6OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1534 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1977 Joules per run.

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileRyzen 7 7840UCore Ultra 7 155H1632486480SE +/- 0.22, N = 3SE +/- 0.57, N = 365.0269.95
MinAvgMaxRyzen 7 7840U3.326.951.1Core Ultra 7 155H1.732.564.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 8.1.9CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1998 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2629 Joules per run.

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: CartoonRyzen 7 7840UCore Ultra 7 155H1530456075SE +/- 0.02, N = 3SE +/- 0.30, N = 367.4467.13
MinAvgMaxRyzen 7 7840U6.818.935.1Core Ultra 7 155H1.724.549.8OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor14284256701. Ryzen 7 7840U: Approximate power consumption of 1354 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1749 Joules per run.

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: Pod2htmlRyzen 7 7840UCore Ultra 7 155H0.01790.03580.05370.07160.0895SE +/- 0.00023029, N = 3SE +/- 0.00030242, N = 30.075942560.07957429
MinAvgMaxRyzen 7 7840U3.515.617.1Core Ultra 7 155H4.320.625.8OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 1085 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1516 Joules per run.

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: DistinctUserIDRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.06, N = 3SE +/- 0.05, N = 38.386.411. (CXX) g++ options: -O3
MinAvgMaxRyzen 7 7840U2.817.118.4Core Ultra 7 155H1.420.025.8OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 1275 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1342 Joules per run.

Selenium

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

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxRyzen 7 7840UCore Ultra 7 155H70140210280350SE +/- 3.84, N = 3SE +/- 2.58, N = 53072541. firefox 120.0.1
MinAvgMaxRyzen 7 7840U2.812.822.7Core Ultra 7 155H1.712.025.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 673 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 660 Joules per run.

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: PartialTweetsRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.03, N = 3SE +/- 0.04, N = 37.045.721. (CXX) g++ options: -O3
MinAvgMaxRyzen 7 7840U2.816.818.1Core Ultra 7 155H1.519.624.1OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 1229 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1340 Joules per run.

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: CPURyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.06, N = 3SE +/- 0.05, N = 159.227.30MIN: 8.38 / MAX: 9.87MIN: 6.49 / MAX: 9.32
MinAvgMaxRyzen 7 7840U3.330.251.0Core Ultra 7 155H1.533.564.2OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 674 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 900 Joules per run.

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: TopTweetRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.01, N = 3SE +/- 0.06, N = 38.326.411. (CXX) g++ options: -O3
MinAvgMaxRyzen 7 7840U2.617.218.5Core Ultra 7 155H1.820.825.9OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 1269 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1389 Joules per run.

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: LiveRyzen 7 7840UCore Ultra 7 155H306090120150SE +/- 0.03, N = 3SE +/- 0.47, N = 3134.4493.881. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxRyzen 7 7840U2.928.847.0Core Ultra 7 155H1.628.656.8OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor16324864801. Ryzen 7 7840U: Approximate power consumption of 1701 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2203 Joules per run.

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastRyzen 7 7840UCore Ultra 7 155H816243240SE +/- 0.19, N = 4SE +/- 0.37, N = 1536.9428.511. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxRyzen 7 7840U2.730.249.5Core Ultra 7 155H1.532.762.6OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 612 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 822 Joules per run.

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 RegressionRyzen 7 7840UCore Ultra 7 155H1224364860SE +/- 0.06, N = 3SE +/- 0.28, N = 334.8452.661. (F9X) gfortran options: -O0
MinAvgMaxRyzen 7 7840U6.928.447.7Core Ultra 7 155H4.334.163.1OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 1.2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1645 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2736 Joules per run.

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeRyzen 7 7840UCore Ultra 7 155H1530456075SE +/- 0.05, N = 3SE +/- 0.01, N = 356.6667.671. RawTherapee, version 5.9, command line.
MinAvgMaxRyzen 7 7840U3.228.538.8Core Ultra 7 155H4.031.244.7OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor12243648601. Ryzen 7 7840U: Approximate power consumption of 1769 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2286 Joules per run.

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedRyzen 7 7840UCore Ultra 7 155H400800120016002000SE +/- 62.03, N = 3SE +/- 43.01, N = 31831.71931.8-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxRyzen 7 7840U3.325.342.3Core Ultra 7 155H1.633.363.2OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1713 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2245 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.67, N = 3SE +/- 2.36, N = 397.3164.3-llzma1. (CC) gcc options: -O3 -pthread -lz

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: CPURyzen 7 7840UCore Ultra 7 155H4K8K12K16K20KSE +/- 9.87, N = 3SE +/- 36.73, N = 31187116465
MinAvgMaxRyzen 7 7840U2.928.651.0Core Ultra 7 155H1.833.764.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1843 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2323 Joules per run.

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 - GriddingRyzen 7 7840UCore Ultra 7 155H5001000150020002500SE +/- 4.65, N = 3SE +/- 3.94, N = 31269.302425.201. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingRyzen 7 7840UCore Ultra 7 155H6001200180024003000SE +/- 23.99, N = 3SE +/- 31.87, N = 31886.452758.571. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
MinAvgMaxRyzen 7 7840U2.929.335.9Core Ultra 7 155H4.530.964.0OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2041 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1925 Joules per run.

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: LargeRandomRyzen 7 7840UCore Ultra 7 155H0.35330.70661.05991.41321.7665SE +/- 0.00, N = 3SE +/- 0.01, N = 31.571.561. (CXX) g++ options: -O3
MinAvgMaxRyzen 7 7840U2.817.218.4Core Ultra 7 155H1.623.228.5OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 1342 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1221 Joules per run.

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: EnhancedRyzen 7 7840UCore Ultra 7 155H50100150200250SE +/- 0.33, N = 3SE +/- 1.67, N = 3202223-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxRyzen 7 7840U2.431.948.1Core Ultra 7 155H1.635.663.2OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2050 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2301 Joules per run.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianRyzen 7 7840UCore Ultra 7 155H60120180240300SE +/- 1.76, N = 3SE +/- 2.19, N = 3266229-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxRyzen 7 7840U2.931.943.7Core Ultra 7 155H1.635.552.6OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor15304560751. Ryzen 7 7840U: Approximate power consumption of 2053 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2275 Joules per run.

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 RandomRyzen 7 7840UCore Ultra 7 155H300K600K900K1200K1500KSE +/- 1290.34, N = 3SE +/- 12698.08, N = 3156277811475241. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxRyzen 7 7840U3.632.151.1Core Ultra 7 155H4.834.664.1OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2064 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2226 Joules per run.

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: SwirlRyzen 7 7840UCore Ultra 7 155H100200300400500SE +/- 0.88, N = 3SE +/- 4.93, N = 3457406-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxRyzen 7 7840U3.632.149.3Core Ultra 7 155H1.635.162.2OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2062 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2260 Joules per run.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 11.57, N = 3SE +/- 10.17, N = 3853808-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxRyzen 7 7840U3.132.148.8Core Ultra 7 155H1.635.262.9OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 2044 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2254 Joules per run.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 2.89, N = 3SE +/- 6.24, N = 35611032-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxRyzen 7 7840U2.815.516.8Core Ultra 7 155H1.823.326.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 999 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1490 Joules per run.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 2.33, N = 3SE +/- 2.89, N = 3892809-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxRyzen 7 7840U3.625.828.0Core Ultra 7 155H1.630.740.5OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor11223344551. Ryzen 7 7840U: Approximate power consumption of 1660 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1972 Joules per run.

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 BenchmarkRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.01, N = 3SE +/- 0.09, N = 317.6616.74
MinAvgMaxRyzen 7 7840U3.219.625.6Core Ultra 7 155H4.125.234.4OpenBenchmarking.orgWatts, Fewer Is BetterNode.js V8 Web Tooling BenchmarkCPU Power Consumption Monitor10203040501. Ryzen 7 7840U: Approximate power consumption of 1174 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1585 Joules per run.

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-ThreadedRyzen 7 7840UCore Ultra 7 155H7K14K21K28K35KSE +/- 19.89, N = 3SE +/- 221.75, N = 331965.329903.11. (CXX) g++ options: -O3 -march=native -fPIE -pie
MinAvgMaxRyzen 7 7840U3.531.047.9Core Ultra 7 155H1.735.664.2OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1656 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2467 Joules per run.

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: PistolRyzen 7 7840UCore Ultra 7 155H1224364860SE +/- 0.53, N = 3SE +/- 0.35, N = 354.3055.431. OpenSCAD version 2021.01
MinAvgMaxRyzen 7 7840U6.716.517.9Core Ultra 7 155H1.620.325.8OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 964 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1212 Joules per run.

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 CompileRyzen 7 7840UCore Ultra 7 155H1224364860SE +/- 0.08, N = 3SE +/- 0.76, N = 352.3255.111. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
MinAvgMaxRyzen 7 7840U3.530.351.0Core Ultra 7 155H1.836.464.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Wasmer Compilation 2.3CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1726 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 2161 Joules per run.

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: 1024Ryzen 7 7840UCore Ultra 7 155H0.71171.42342.13512.84683.5585SE +/- 0.012252, N = 3SE +/- 0.016507, N = 33.0903163.1633161. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxRyzen 7 7840U6.631.449.2Core Ultra 7 155H4.834.963.6OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1767 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1968 Joules per run.

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: InterpreterRyzen 7 7840UCore Ultra 7 155H0.00040.00080.00120.00160.002SE +/- 0.00000156, N = 3SE +/- 0.00002194, N = 30.001827580.00175259
MinAvgMaxRyzen 7 7840U2.413.614.6Core Ultra 7 155H3.76.68.1OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor5101520251. Ryzen 7 7840U: Approximate power consumption of 719 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 394 Joules per run.

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: 1024Ryzen 7 7840UCore Ultra 7 155H0.74681.49362.24042.98723.734SE +/- 0.032515, N = 3SE +/- 0.027638, N = 33.1235523.3191161. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxRyzen 7 7840U6.630.751.0Core Ultra 7 155H4.436.264.8OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1709 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1956 Joules per run.

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 SpeedRyzen 7 7840UCore Ultra 7 155H3K6K9K12K15KSE +/- 17.52, N = 3SE +/- 3.38, N = 316182.99682.01. (CC) gcc options: -O3
MinAvgMaxRyzen 7 7840U2.916.621.8Core Ultra 7 155H1.620.826.5OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 913 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1131 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedRyzen 7 7840UCore Ultra 7 155H1530456075SE +/- 0.69, N = 3SE +/- 0.84, N = 368.0266.981. (CC) gcc options: -O3

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 1,000Ryzen 7 7840UCore Ultra 7 155H1224364860SE +/- 0.02, N = 3SE +/- 0.14, N = 353.7543.331. (CC) gcc options: -O2 -lz
MinAvgMaxRyzen 7 7840U3.415.717.5Core Ultra 7 155H4.523.130.2OpenBenchmarking.orgWatts, Fewer Is BetterSQLite Speedtest 3.30CPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 909 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1102 Joules per run.

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-StreamRyzen 7 7840UCore Ultra 7 155H30060090012001500SE +/- 0.93, N = 3SE +/- 8.92, N = 3410.991194.75
MinAvgMaxRyzen 7 7840U3.428.751.1Core Ultra 7 155H4.333.764.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1386 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1788 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.0267, N = 3SE +/- 0.0476, N = 37.28375.7692

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 4KRyzen 7 7840UCore Ultra 7 155H1020304050SE +/- 0.25, N = 4SE +/- 0.69, N = 1544.3144.431. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxRyzen 7 7840U3.327.950.5Core Ultra 7 155H1.532.764.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 530 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 608 Joules per run.

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 OpenMPRyzen 7 7840UCore Ultra 7 155H90180270360450SE +/- 4.06, N = 14SE +/- 5.52, N = 3239.65393.851. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
MinAvgMaxRyzen 7 7840U2.620.043.0Core Ultra 7 155H4.624.763.8OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 395 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 560 Joules per run.

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, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H816243240SE +/- 0.01, N = 3SE +/- 0.06, N = 310.2034.12
MinAvgMaxRyzen 7 7840U2.628.551.0Core Ultra 7 155H4.134.064.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1396 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1747 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H60120180240300SE +/- 0.34, N = 3SE +/- 0.35, N = 3293.52204.79

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H30060090012001500SE +/- 0.22, N = 3SE +/- 4.45, N = 3411.601219.60
MinAvgMaxRyzen 7 7840U2.328.551.1Core Ultra 7 155H4.534.064.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1389 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1736 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.0038, N = 3SE +/- 0.0313, N = 37.26515.5906

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H1632486480SE +/- 0.02, N = 3SE +/- 0.50, N = 322.4171.89
MinAvgMaxRyzen 7 7840U2.328.851.0Core Ultra 7 155H4.034.264.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1412 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1674 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H306090120150SE +/- 0.15, N = 3SE +/- 0.70, N = 3133.6897.20

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: FirefoxRyzen 7 7840UCore Ultra 7 155H11K22K33K44K55KSE +/- 314.25, N = 3SE +/- 288.12, N = 350202497411. firefox 120.0.1
MinAvgMaxRyzen 7 7840U2.313.720.6Core Ultra 7 155H1.717.131.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 661 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 816 Joules per run.

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 BlurRyzen 7 7840UCore Ultra 7 155H1020304050SE +/- 0.06, N = 3SE +/- 0.09, N = 343.8443.93
MinAvgMaxRyzen 7 7840U6.717.424.6Core Ultra 7 155H1.722.235.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor10203040501. Ryzen 7 7840U: Approximate power consumption of 840 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1074 Joules per run.

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 StateRyzen 7 7840UCore Ultra 7 155H0.35260.70521.05781.41041.763SE +/- 0.003, N = 3SE +/- 0.001, N = 30.9891.567
MinAvgMaxRyzen 7 7840U6.419.922.9Core Ultra 7 155H4.022.726.9OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 761 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1302 Joules per run.

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-StreamRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 0.16, N = 3SE +/- 4.85, N = 3230.85990.20
MinAvgMaxRyzen 7 7840U3.029.550.9Core Ultra 7 155H4.234.964.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1408 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1699 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.0105, N = 3SE +/- 0.0147, N = 312.99016.9529

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: ThoroughRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.0385, N = 3SE +/- 0.0723, N = 37.12847.30201. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxRyzen 7 7840U3.330.751.3Core Ultra 7 155H4.835.664.1OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1403 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1755 Joules per run.

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 EntropyRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.07, N = 4SE +/- 0.14, N = 1511.6813.79
MinAvgMaxRyzen 7 7840U6.728.651.2Core Ultra 7 155H4.434.065.5OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 451 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 607 Joules per run.

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 1.69, N = 15SE +/- 1.98, N = 1587.9292.871. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxRyzen 7 7840U2.725.650.0Core Ultra 7 155H1.632.964.1OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 320 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 396 Joules per run.

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 DecryptionRyzen 7 7840UCore Ultra 7 155H120240360480600SE +/- 1.01, N = 3SE +/- 14.76, N = 3553.3529.3
MinAvgMaxRyzen 7 7840U3.418.532.4Core Ultra 7 155H3.919.529.9OpenBenchmarking.orgWatts, Fewer Is BetterCryptsetupCPU Power Consumption Monitor10203040501. Ryzen 7 7840U: Approximate power consumption of 881 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 890 Joules per run.

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b EncryptionRyzen 7 7840UCore Ultra 7 155H120240360480600SE +/- 1.02, N = 3SE +/- 12.48, N = 3548.7531.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b DecryptionRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 1.62, N = 3SE +/- 20.29, N = 3861.3812.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b EncryptionRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 2.25, N = 3SE +/- 2.02, N = 3869.4763.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b DecryptionRyzen 7 7840UCore Ultra 7 155H10002000300040005000SE +/- 3.52, N = 3SE +/- 58.06, N = 33369.94867.6

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b EncryptionRyzen 7 7840UCore Ultra 7 155H11002200330044005500SE +/- 1.93, N = 3SE +/- 136.88, N = 33374.04982.8

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b DecryptionRyzen 7 7840UCore Ultra 7 155H120240360480600SE +/- 0.87, N = 3SE +/- 12.70, N = 3553.3533.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b EncryptionRyzen 7 7840UCore Ultra 7 155H120240360480600SE +/- 2.90, N = 3SE +/- 13.59, N = 3546.1528.0

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b DecryptionRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 2.73, N = 3SE +/- 16.67, N = 3859.2814.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b EncryptionRyzen 7 7840UCore Ultra 7 155H2004006008001000SE +/- 6.26, N = 3SE +/- 12.60, N = 3863.9780.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b DecryptionRyzen 7 7840UCore Ultra 7 155H11002200330044005500SE +/- 5.84, N = 3SE +/- 70.67, N = 33659.95297.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b EncryptionRyzen 7 7840UCore Ultra 7 155H12002400360048006000SE +/- 12.28, N = 3SE +/- 148.02, N = 33667.65462.1

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolRyzen 7 7840UCore Ultra 7 155H200K400K600K800K1000KSE +/- 1834.16, N = 3SE +/- 20453.44, N = 3895206939335

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512Ryzen 7 7840UCore Ultra 7 155H600K1200K1800K2400K3000KSE +/- 8161.04, N = 3SE +/- 8245.18, N = 326116972186873

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: 32Ryzen 7 7840UCore Ultra 7 155H70M140M210M280M350MSE +/- 711781.80, N = 3SE +/- 3363877.23, N = 53399700003277600001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U3.730.946.4Core Ultra 7 155H3.835.764.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1062 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1220 Joules per run.

Selenium

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

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeRyzen 7 7840UCore Ultra 7 155H20K40K60K80K100KSE +/- 121.64, N = 3SE +/- 508.08, N = 387357846891. chrome 120.0.6099.109
MinAvgMaxRyzen 7 7840U2.914.122.4Core Ultra 7 155H1.717.231.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 623 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 770 Joules per run.

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-StreamRyzen 7 7840UCore Ultra 7 155H306090120150SE +/- 0.05, N = 3SE +/- 1.03, N = 346.30127.00
MinAvgMaxRyzen 7 7840U3.029.751.0Core Ultra 7 155H4.035.064.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1305 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1561 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H1428425670SE +/- 0.07, N = 3SE +/- 0.43, N = 364.7555.01

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 CommandsRyzen 7 7840UCore Ultra 7 155H918273645SE +/- 0.10, N = 3SE +/- 0.09, N = 337.8141.081. git version 2.40.1
MinAvgMaxRyzen 7 7840U3.315.417.8Core Ultra 7 155H1.621.026.5OpenBenchmarking.orgWatts, Fewer Is BetterGitCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 661 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1000 Joules per run.

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingRyzen 7 7840UCore Ultra 7 155H15K30K45K60K75KSE +/- 378.74, N = 3SE +/- 1102.62, N = 468828514381. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
MinAvgMaxRyzen 7 7840U3.630.051.2Core Ultra 7 155H1.535.964.2OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 861 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1614 Joules per run.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingRyzen 7 7840UCore Ultra 7 155H20K40K60K80K100KSE +/- 130.26, N = 3SE +/- 1003.66, N = 477484811001. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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 EnhanceRyzen 7 7840UCore Ultra 7 155H918273645SE +/- 0.01, N = 3SE +/- 0.18, N = 339.4538.87
MinAvgMaxRyzen 7 7840U6.916.821.7Core Ultra 7 155H1.520.526.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 733 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 883 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesRyzen 7 7840UCore Ultra 7 155H1020304050SE +/- 0.05, N = 3SE +/- 0.12, N = 334.3443.27
MinAvgMaxRyzen 7 7840U6.919.835.5Core Ultra 7 155H1.528.754.9OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor15304560751. Ryzen 7 7840U: Approximate power consumption of 760 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1370 Joules per run.

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.BRyzen 7 7840UCore Ultra 7 155H3K6K9K12K15KSE +/- 7.63, N = 3SE +/- 152.53, N = 37551.2012780.781. (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
MinAvgMaxRyzen 7 7840U3.327.330.2Core Ultra 7 155H1.836.364.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1430 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1186 Joules per run.

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-StreamRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.01, N = 3SE +/- 0.81, N = 332.0092.69
MinAvgMaxRyzen 7 7840U3.630.351.0Core Ultra 7 155H4.335.464.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1275 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1500 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.03, N = 3SE +/- 0.69, N = 393.6875.37

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.28, N = 3SE +/- 0.60, N = 368.70188.61
MinAvgMaxRyzen 7 7840U3.330.251.1Core Ultra 7 155H4.335.564.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1277 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1513 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H1020304050SE +/- 0.18, N = 3SE +/- 0.08, N = 343.6336.96

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.16, N = 3SE +/- 0.41, N = 367.46185.77
MinAvgMaxRyzen 7 7840U3.330.251.0Core Ultra 7 155H4.335.364.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1269 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1516 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H1020304050SE +/- 0.11, N = 3SE +/- 0.08, N = 344.4437.56

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.08, N = 3SE +/- 0.98, N = 332.0792.30

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.23, N = 3SE +/- 0.76, N = 393.4675.71

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.0053, N = 3SE +/- 0.1010, N = 34.089111.9927
MinAvgMaxRyzen 7 7840U3.230.550.5Core Ultra 7 155H4.435.464.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1271 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1509 Joules per run.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamRyzen 7 7840UCore Ultra 7 155H160320480640800SE +/- 0.80, N = 3SE +/- 5.01, N = 3730.01582.50

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 ChromeRyzen 7 7840UCore Ultra 7 155H80160240320400SE +/- 3.18, N = 3SE +/- 4.41, N = 33543311. chrome 120.0.6099.109
MinAvgMaxRyzen 7 7840U3.213.023.2Core Ultra 7 155H1.812.425.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 534 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 529 Joules per run.

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 4KRyzen 7 7840UCore Ultra 7 155H1326395265SE +/- 0.11, N = 4SE +/- 0.78, N = 1550.7159.441. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxRyzen 7 7840U3.028.050.2Core Ultra 7 155H1.534.563.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 483 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 529 Joules per run.

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 DocumentRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.05, N = 5SE +/- 0.09, N = 1511.4510.85
MinAvgMaxCore Ultra 7 155H1.434.264.3OpenBenchmarking.orgWatts, Fewer Is BetterOCRMyPDF 14.0.1+dfsg1CPU Power Consumption Monitor204060801001. Core Ultra 7 155H: Approximate power consumption of 510 Joules per run.

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 4KRyzen 7 7840UCore Ultra 7 155H1326395265SE +/- 0.18, N = 4SE +/- 0.66, N = 1553.3559.041. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxRyzen 7 7840U3.027.649.9Core Ultra 7 155H1.533.463.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 456 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 514 Joules per run.

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.smt2Ryzen 7 7840UCore Ultra 7 155H612182430SE +/- 0.01, N = 3SE +/- 0.22, N = 626.9022.751. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
MinAvgMaxRyzen 7 7840U2.513.815.9Core Ultra 7 155H1.520.929.6OpenBenchmarking.orgWatts, Fewer Is BetterZ3 Theorem Prover 4.12.1CPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 428 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 561 Joules per run.

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.04, N = 5SE +/- 0.16, N = 1520.722.51. firefox 120.0.1
MinAvgMaxRyzen 7 7840U3.28.920.6Core Ultra 7 155H1.67.720.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor6121824301. Ryzen 7 7840U: Approximate power consumption of 137 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 112 Joules per run.

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.67, N = 3SE +/- 0.33, N = 3175183
MinAvgMaxRyzen 7 7840U1.914.716.9Core Ultra 7 155H1.619.026.3OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 519 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 848 Joules per run.

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 1080pRyzen 7 7840UCore Ultra 7 155H1530456075SE +/- 0.18, N = 5SE +/- 0.33, N = 1566.9055.151. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxRyzen 7 7840U2.628.249.7Core Ultra 7 155H1.534.261.5OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 372 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 512 Joules per run.

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Ryzen 7 7840UCore Ultra 7 155H1122334455SE +/- 0.46, N = 3SE +/- 0.19, N = 348.7227.70MIN: 41.49 / MAX: 51.3MIN: 8.98 / MAX: 33.15
MinAvgMaxRyzen 7 7840U3.429.045.9Core Ultra 7 155H4.534.762.8OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 851 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1664 Joules per run.

Selenium

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

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxRyzen 7 7840UCore Ultra 7 155H5001000150020002500SE +/- 2.00, N = 3SE +/- 4.84, N = 3238125571. firefox 120.0.1
MinAvgMaxRyzen 7 7840U2.213.135.8Core Ultra 7 155H1.912.442.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor12243648601. Ryzen 7 7840U: Approximate power consumption of 495 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 476 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.02, N = 3SE +/- 0.12, N = 37.149.511. chrome 120.0.6099.109
MinAvgMaxRyzen 7 7840U2.512.720.3Core Ultra 7 155H1.715.127.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 483 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 570 Joules per run.

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesRyzen 7 7840UCore Ultra 7 155H1122334455SE +/- 0.07, N = 3SE +/- 0.26, N = 345.547.2
MinAvgMaxRyzen 7 7840U3.214.916.8Core Ultra 7 155H1.520.326.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 542 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 778 Joules per run.

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 SuiteRyzen 7 7840UCore Ultra 7 155H300K600K900K1200K1500KSE +/- 9948.35, N = 7SE +/- 15483.82, N = 410750141258273
MinAvgMaxRyzen 7 7840U2.613.316.2Core Ultra 7 155H1.418.125.3OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 303 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 362 Joules per run.

Selenium

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

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeRyzen 7 7840UCore Ultra 7 155H6001200180024003000SE +/- 3.84, N = 3SE +/- 19.22, N = 3248027231. chrome 120.0.6099.109
MinAvgMaxRyzen 7 7840U3.413.621.6Core Ultra 7 155H1.811.829.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 481 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 433 Joules per run.

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 1080pRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.06, N = 4SE +/- 0.09, N = 913.7010.861. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxRyzen 7 7840U3.228.650.5Core Ultra 7 155H1.534.762.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 471 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 670 Joules per run.

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 FastRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.35, N = 6SE +/- 0.68, N = 1583.4463.58
MinAvgMaxRyzen 7 7840U3.027.650.9Core Ultra 7 155H1.633.663.1OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 313 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 455 Joules per run.

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 SpeedRyzen 7 7840UCore Ultra 7 155H4K8K12K16K20KSE +/- 97.81, N = 3SE +/- 18.72, N = 316757.210102.01. (CC) gcc options: -O3
MinAvgMaxRyzen 7 7840U2.717.421.8Core Ultra 7 155H1.718.722.8OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor6121824301. Ryzen 7 7840U: Approximate power consumption of 603 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 661 Joules per run.

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedRyzen 7 7840UCore Ultra 7 155H3K6K9K12K15KSE +/- 62.96, N = 3SE +/- 9.57, N = 314693.929126.541. (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 1.7Ryzen 7 7840UCore Ultra 7 155H9K18K27K36K45KSE +/- 211.65, N = 3SE +/- 104.27, N = 339922.9029616.491. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
MinAvgMaxRyzen 7 7840U2.231.051.0Core Ultra 7 155H4.438.864.1OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.7CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1075 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1343 Joules per run.

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: 512Ryzen 7 7840UCore Ultra 7 155H30M60M90M120M150MSE +/- 623065.90, N = 3SE +/- 1542533.99, N = 31600333331105333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U3.231.350.9Core Ultra 7 155H4.236.564.1OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1073 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1253 Joules per run.

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.07, N = 3SE +/- 0.09, N = 371.087.1
MinAvgMaxRyzen 7 7840U2.715.017.1Core Ultra 7 155H1.520.726.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 470 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 771 Joules per run.

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: 512Ryzen 7 7840UCore Ultra 7 155H30M60M90M120M150MSE +/- 224524.19, N = 3SE +/- 550345.75, N = 3120793333816613331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U3.431.250.9Core Ultra 7 155H4.336.464.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 1072 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1251 Joules per run.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 512Ryzen 7 7840UCore Ultra 7 155H14M28M42M56M70MSE +/- 452215.41, N = 3SE +/- 156292.82, N = 367625667557086671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U2.228.634.0Core Ultra 7 155H3.835.655.5OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor15304560751. Ryzen 7 7840U: Approximate power consumption of 983 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1234 Joules per run.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32Ryzen 7 7840UCore Ultra 7 155H12M24M36M48M60MSE +/- 31476.62, N = 3SE +/- 55480.73, N = 346273667565303331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U3.112.313.8Core Ultra 7 155H4.218.421.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor6121824301. Ryzen 7 7840U: Approximate power consumption of 424 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 624 Joules per run.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 32Ryzen 7 7840UCore Ultra 7 155H20M40M60M80M100MSE +/- 86227.09, N = 3SE +/- 737119.02, N = 3920456671110166671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U2.716.619.0Core Ultra 7 155H3.929.535.8OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor10203040501. Ryzen 7 7840U: Approximate power consumption of 569 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1014 Joules per run.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 512Ryzen 7 7840UCore Ultra 7 155H7M14M21M28M35MSE +/- 419081.14, N = 3SE +/- 35950.58, N = 333822000303056671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U3.018.621.7Core Ultra 7 155H4.129.636.5OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor10203040501. Ryzen 7 7840U: Approximate power consumption of 640 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1007 Joules per run.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 32Ryzen 7 7840UCore Ultra 7 155H40M80M120M160M200MSE +/- 394010.72, N = 3SE +/- 1729723.81, N = 31811533332012066671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U2.924.728.5Core Ultra 7 155H4.436.352.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor15304560751. Ryzen 7 7840U: Approximate power consumption of 848 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1234 Joules per run.

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512Ryzen 7 7840UCore Ultra 7 155H4M8M12M16M20MSE +/- 93724.77, N = 3SE +/- 127987.41, N = 317273000160846671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxRyzen 7 7840U3.613.515.3Core Ultra 7 155H4.018.827.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 462 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 645 Joules per run.

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.CRyzen 7 7840UCore Ultra 7 155H30060090012001500SE +/- 10.61, N = 6SE +/- 11.09, N = 151286.441021.421. (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
MinAvgMaxRyzen 7 7840U2.926.250.9Core Ultra 7 155H1.534.264.0OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 301 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 447 Joules per run.

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 SynthesisRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.14, N = 4SE +/- 0.10, N = 422.4321.371. (CXX) g++ options: -O2
MinAvgMaxRyzen 7 7840U2.914.217.5Core Ultra 7 155H1.417.423.1OpenBenchmarking.orgWatts, Fewer Is BettereSpeak-NG Speech Engine 1.51CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 381 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 445 Joules per run.

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 FastRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.64, N = 6SE +/- 0.69, N = 1590.1169.74
MinAvgMaxRyzen 7 7840U3.227.450.9Core Ultra 7 155H1.634.363.4OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 297 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 437 Joules per run.

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.54, N = 6SE +/- 6.26, N = 1291.5285.591. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxRyzen 7 7840U3.325.450.6Core Ultra 7 155H1.630.063.8OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 313 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 420 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 1080pRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.42, N = 6SE +/- 1.34, N = 1595.3475.701. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxRyzen 7 7840U2.926.150.4Core Ultra 7 155H1.533.462.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 283 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 418 Joules per run.

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.44, N = 7SE +/- 0.57, N = 1597.5573.951. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxRyzen 7 7840U3.026.950.1Core Ultra 7 155H1.234.161.8OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 280 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 416 Joules per run.

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: FastRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.51, N = 3SE +/- 0.44, N = 3161.02155.761. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxRyzen 7 7840U3.229.751.2Core Ultra 7 155H4.737.364.1OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 891 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 1232 Joules per run.

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: AntialiasRyzen 7 7840UCore Ultra 7 155H612182430SE +/- 0.03, N = 3SE +/- 0.07, N = 327.2926.57
MinAvgMaxRyzen 7 7840U6.617.826.6Core Ultra 7 155H1.522.936.8OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor10203040501. Ryzen 7 7840U: Approximate power consumption of 565 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 702 Joules per run.

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 PNGRyzen 7 7840UCore Ultra 7 155H714212835SE +/- 0.10, N = 3SE +/- 0.25, N = 324.5928.931. Inkscape 1.2.2 (b0a8486541, 2022-12-01)
MinAvgMaxRyzen 7 7840U6.815.417.6Core Ultra 7 155H1.714.919.7OpenBenchmarking.orgWatts, Fewer Is BetterInkscapeCPU Power Consumption Monitor6121824301. Ryzen 7 7840U: Approximate power consumption of 447 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 492 Joules per run.

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX CaseRyzen 7 7840UCore Ultra 7 155H612182430SE +/- 0.06, N = 3SE +/- 0.25, N = 325.3026.021. OpenSCAD version 2021.01
MinAvgMaxRyzen 7 7840U6.616.218.1Core Ultra 7 155H1.419.726.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 474 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 591 Joules per run.

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: CompositeRyzen 7 7840UCore Ultra 7 155H10002000300040005000SE +/- 55.57, N = 3SE +/- 18.44, N = 34844.323708.79
MinAvgMaxRyzen 7 7840U3.215.623.3Core Ultra 7 155H1.618.434.1OpenBenchmarking.orgWatts, Fewer Is BetterJava SciMark 2.2CPU Power Consumption Monitor10203040501. Ryzen 7 7840U: Approximate power consumption of 473 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 540 Joules per run.

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 ThroughputRyzen 7 7840UCore Ultra 7 155H60120180240300SE +/- 0.68, N = 3SE +/- 1.84, N = 3277.11246.931. (CC) gcc options: -O3 -rdynamic
MinAvgMaxRyzen 7 7840U2.814.816.9Core Ultra 7 155H4.119.124.8OpenBenchmarking.orgWatts, Fewer Is Betterlibjpeg-turbo tjbench 2.1.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 435 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 561 Joules per run.

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 FastRyzen 7 7840UCore Ultra 7 155H20406080100SE +/- 0.68, N = 7SE +/- 0.95, N = 15108.9685.38
MinAvgMaxRyzen 7 7840U3.226.650.9Core Ultra 7 155H1.734.163.5OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 259 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 379 Joules per run.

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 FLACRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.02, N = 5SE +/- 0.05, N = 513.4314.681. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
MinAvgMaxRyzen 7 7840U2.613.817.4Core Ultra 7 155H1.416.823.6OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.4CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 244 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 315 Joules per run.

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: ReflectRyzen 7 7840UCore Ultra 7 155H612182430SE +/- 0.00, N = 3SE +/- 0.08, N = 323.3321.89
MinAvgMaxRyzen 7 7840U6.716.622.2Core Ultra 7 155H1.519.726.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 459 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 519 Joules per run.

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: resizeRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.13, N = 6SE +/- 0.08, N = 313.0119.02
MinAvgMaxCore Ultra 7 155H4.629.751.6OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor15304560751. Core Ultra 7 155H: Approximate power consumption of 732 Joules per run.

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastRyzen 7 7840UCore Ultra 7 155H306090120150SE +/- 0.64, N = 8SE +/- 0.88, N = 15127.0693.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxRyzen 7 7840U3.226.150.1Core Ultra 7 155H1.633.561.9OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 231 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 353 Joules per run.

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.03, N = 3SE +/- 0.07, N = 311.812.0
MinAvgMaxRyzen 7 7840U1.914.016.3Core Ultra 7 155H1.418.924.8OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 363 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 510 Joules per run.

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 5Ryzen 7 7840UCore Ultra 7 155H0.88881.77762.66643.55524.444SE +/- 0.02, N = 6SE +/- 0.04, N = 153.783.951. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxRyzen 7 7840U2.927.151.0Core Ultra 7 155H1.634.264.2OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 289 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 353 Joules per run.

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesRyzen 7 7840UCore Ultra 7 155H130260390520650SE +/- 2.47, N = 4SE +/- 5.62, N = 6590552
MinAvgMaxRyzen 7 7840U2.513.017.2Core Ultra 7 155H1.517.328.2OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 234 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 297 Joules per run.

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 GlassRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.03, N = 3SE +/- 0.04, N = 321.8421.78
MinAvgMaxRyzen 7 7840U6.817.724.7Core Ultra 7 155H1.622.230.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 460 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 576 Joules per run.

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 digitRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.036, N = 7SE +/- 0.061, N = 155.1526.0171. (CC) gcc options: -O2 -pthread
MinAvgMaxRyzen 7 7840U3.226.451.0Core Ultra 7 155H3.835.364.4OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 245 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 356 Joules per run.

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 BenchmarkRyzen 7 7840UCore Ultra 7 155H0.03320.06640.09960.13280.166SE +/- 0.0006, N = 3SE +/- 0.0006, N = 30.13680.1474
MinAvgMaxRyzen 7 7840U6.817.943.4Core Ultra 7 155H1.423.049.3OpenBenchmarking.orgWatts, Fewer Is BetterR BenchmarkCPU Power Consumption Monitor14284256701. Ryzen 7 7840U: Approximate power consumption of 471 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 551 Joules per run.

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-ThreadedRyzen 7 7840UCore Ultra 7 155H9001800270036004500SE +/- 9.89, N = 3SE +/- 42.67, N = 33967.44224.51. (CXX) g++ options: -O3 -march=native -fPIE -pie
MinAvgMaxRyzen 7 7840U3.014.217.0Core Ultra 7 155H1.616.326.2OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 374 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 385 Joules per run.

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 2020-06-28Ryzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.05, N = 4SE +/- 0.04, N = 415.1414.931. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxRyzen 7 7840U6.714.516.9Core Ultra 7 155H4.516.523.9OpenBenchmarking.orgWatts, Fewer Is BetterRNNoise 2020-06-28CPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 280 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 314 Joules per run.

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Leonardo Phone Case SlimRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.04, N = 4SE +/- 0.15, N = 316.6517.341. OpenSCAD version 2021.01
MinAvgMaxRyzen 7 7840U6.715.518.0Core Ultra 7 155H1.618.626.5OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 326 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 403 Joules per run.

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxRyzen 7 7840UCore Ultra 7 155H60120180240300SE +/- 0.52, N = 3SE +/- 1.41, N = 4286.3275.41. firefox 120.0.1
MinAvgMaxRyzen 7 7840U2.910.920.9Core Ultra 7 155H1.611.724.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 232 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 237 Joules per run.

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.xzRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.03, N = 4SE +/- 0.05, N = 414.0714.22
MinAvgMaxRyzen 7 7840U3.015.725.1Core Ultra 7 155H1.821.835.3OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking Firefox 84.0CPU Power Consumption Monitor10203040501. Ryzen 7 7840U: Approximate power consumption of 357 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 447 Joules per run.

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, LosslessRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.044, N = 5SE +/- 0.095, N = 610.2969.6691. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 7 7840U3.025.751.0Core Ultra 7 155H4.234.164.3OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 376 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 471 Joules per run.

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: auto-levelsRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.04, N = 4SE +/- 0.01, N = 412.9714.00
MinAvgMaxCore Ultra 7 155H4.620.629.3OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor9182736451. Core Ultra 7 155H: Approximate power consumption of 401 Joules per run.

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeRyzen 7 7840UCore Ultra 7 155H60120180240300SE +/- 0.60, N = 4SE +/- 0.44, N = 5252.10217.121. chrome 120.0.6099.109
MinAvgMaxRyzen 7 7840U2.99.716.2Core Ultra 7 155H1.810.326.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 165 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 158 Joules per run.

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeRyzen 7 7840UCore Ultra 7 155H100200300400500SE +/- 2.58, N = 3SE +/- 1.04, N = 3397.1458.71. chrome 120.0.6099.109
MinAvgMaxRyzen 7 7840U2.710.221.0Core Ultra 7 155H1.610.123.7OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 223 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 226 Joules per run.

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: unsharp-maskRyzen 7 7840UCore Ultra 7 155H48121620SE +/- 0.02, N = 4SE +/- 0.03, N = 314.4916.07
MinAvgMaxCore Ultra 7 155H4.423.832.8OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor10203040501. Core Ultra 7 155H: Approximate power consumption of 516 Joules per run.

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: rotateRyzen 7 7840UCore Ultra 7 155H3691215SE +/- 0.01, N = 4SE +/- 0.06, N = 412.4113.18
MinAvgMaxCore Ultra 7 155H4.017.624.6OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor8162432401. Core Ultra 7 155H: Approximate power consumption of 330 Joules per run.

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: MediumRyzen 7 7840UCore Ultra 7 155H1326395265SE +/- 0.08, N = 4SE +/- 0.15, N = 457.2656.791. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxRyzen 7 7840U3.126.851.0Core Ultra 7 155H4.135.664.1OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 443 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 615 Joules per run.

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastRyzen 7 7840UCore Ultra 7 155H4080120160200SE +/- 0.38, N = 9SE +/- 1.29, N = 15174.71136.561. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxRyzen 7 7840U2.324.850.6Core Ultra 7 155H1.532.762.9OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 184 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 277 Joules per run.

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 GaussianRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.047, N = 6SE +/- 0.066, N = 76.9547.132
MinAvgMaxRyzen 7 7840U3.627.651.2Core Ultra 7 155H3.934.964.3OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 308 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 394 Joules per run.

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeRyzen 7 7840UCore Ultra 7 155H510152025SE +/- 0.02, N = 6SE +/- 0.18, N = 619.1020.341. chrome 120.0.6099.109
MinAvgMaxRyzen 7 7840U3.37.316.0Core Ultra 7 155H1.75.517.0OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor5101520251. Ryzen 7 7840U: Approximate power consumption of 81 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 62 Joules per run.

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: 6Ryzen 7 7840UCore Ultra 7 155H246810SE +/- 0.037, N = 6SE +/- 0.041, N = 76.7266.3581. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 7 7840U3.626.051.0Core Ultra 7 155H3.634.864.4OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 282 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 363 Joules per run.

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Boat - Acceleration: CPU-onlyRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.032, N = 6SE +/- 0.061, N = 65.6166.127
MinAvgMaxCore Ultra 7 155H4.433.164.0OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor204060801001. Core Ultra 7 155H: Approximate power consumption of 375 Joules per run.

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 8.3.0Ryzen 7 7840UCore Ultra 7 155H246810SE +/- 0.020, N = 6SE +/- 0.035, N = 56.5428.522
MinAvgMaxCore Ultra 7 155H1.415.729.1OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave Benchmark 8.3.0CPU Power Consumption Monitor9182736451. Core Ultra 7 155H: Approximate power consumption of 197 Joules per run.

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: CropRyzen 7 7840UCore Ultra 7 155H1.3412.6824.0235.3646.705SE +/- 0.007, N = 7SE +/- 0.013, N = 75.5225.960
MinAvgMaxRyzen 7 7840U6.717.326.3Core Ultra 7 155H1.418.532.0OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 168 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 185 Joules per run.

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 MP3Ryzen 7 7840UCore Ultra 7 155H1.29742.59483.89225.18966.487SE +/- 0.012, N = 7SE +/- 0.042, N = 75.3815.766-lncurses1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
MinAvgMaxRyzen 7 7840U2.611.217.2Core Ultra 7 155H1.413.122.2OpenBenchmarking.orgWatts, Fewer Is BetterLAME MP3 Encoding 3.100CPU Power Consumption Monitor6121824301. Ryzen 7 7840U: Approximate power consumption of 106 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 130 Joules per run.

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: ScaleRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.007, N = 8SE +/- 0.030, N = 64.6736.496
MinAvgMaxRyzen 7 7840U6.820.032.8Core Ultra 7 155H1.022.738.6OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor11223344551. Ryzen 7 7840U: Approximate power consumption of 177 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 243 Joules per run.

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Masskrug - Acceleration: CPU-onlyRyzen 7 7840UCore Ultra 7 155H0.80171.60342.40513.20684.0085SE +/- 0.005, N = 8SE +/- 0.019, N = 83.5633.538
MinAvgMaxCore Ultra 7 155H4.622.957.5OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor16324864801. Core Ultra 7 155H: Approximate power consumption of 203 Joules per run.

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, LosslessRyzen 7 7840UCore Ultra 7 155H1.15832.31663.47494.63325.7915SE +/- 0.012, N = 7SE +/- 0.039, N = 74.9715.1481. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxRyzen 7 7840U2.919.451.0Core Ultra 7 155H4.524.563.8OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 175 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 228 Joules per run.

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.xzRyzen 7 7840UCore Ultra 7 155H1.17142.34283.51424.68565.857SE +/- 0.010, N = 7SE +/- 0.032, N = 74.6505.206
MinAvgMaxRyzen 7 7840U2.612.920.7Core Ultra 7 155H1.615.527.9OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking The Linux Kernel 5.19CPU Power Consumption Monitor9182736451. Ryzen 7 7840U: Approximate power consumption of 129 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 155 Joules per run.

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount SwivelRyzen 7 7840UCore Ultra 7 155H0.96011.92022.88033.84044.8005SE +/- 0.026, N = 8SE +/- 0.025, N = 84.2384.2671. OpenSCAD version 2021.01
MinAvgMaxRyzen 7 7840U6.512.418.1Core Ultra 7 155H1.413.326.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 104 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 109 Joules per run.

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Room - Acceleration: CPU-onlyRyzen 7 7840UCore Ultra 7 155H0.6231.2461.8692.4923.115SE +/- 0.003, N = 8SE +/- 0.018, N = 82.7612.769
MinAvgMaxCore Ultra 7 155H4.220.957.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor16324864801. Core Ultra 7 155H: Approximate power consumption of 173 Joules per run.

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: DefaultRyzen 7 7840UCore Ultra 7 155H246810SE +/- 0.02, N = 9SE +/- 0.03, N = 98.428.221. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxRyzen 7 7840U2.921.551.2Core Ultra 7 155H1.625.764.2OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 153 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 185 Joules per run.

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Retro CarRyzen 7 7840UCore Ultra 7 155H0.54811.09621.64432.19242.7405SE +/- 0.003, N = 10SE +/- 0.017, N = 102.4242.4361. OpenSCAD version 2021.01
MinAvgMaxRyzen 7 7840U6.510.817.9Core Ultra 7 155H1.49.926.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor8162432401. Ryzen 7 7840U: Approximate power consumption of 71 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 64 Joules per run.

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 1080pRyzen 7 7840UCore Ultra 7 155H90180270360450SE +/- 0.49, N = 11SE +/- 0.87, N = 11415.64361.551. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxRyzen 7 7840U2.515.950.5Core Ultra 7 155H1.618.762.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 95 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 115 Joules per run.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 1080pRyzen 7 7840UCore Ultra 7 155H110220330440550SE +/- 0.65, N = 11SE +/- 1.57, N = 11503.21458.371. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxRyzen 7 7840U3.214.350.6Core Ultra 7 155H1.615.962.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor204060801001. Ryzen 7 7840U: Approximate power consumption of 82 Joules per run.2. Core Ultra 7 155H: Approximate power consumption of 93 Joules per run.

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Rack - Acceleration: CPU-onlyRyzen 7 7840UCore Ultra 7 155H0.0920.1840.2760.3680.46SE +/- 0.001, N = 13SE +/- 0.009, N = 150.3490.409
MinAvgMaxCore Ultra 7 155H3.410.835.4OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor10203040501. Core Ultra 7 155H: Approximate power consumption of 59 Joules per run.

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: Jacobi Successive Over-RelaxationRyzen 7 7840UCore Ultra 7 155H5001000150020002500SE +/- 5.00, N = 3SE +/- 0.36, N = 32225.422555.59

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Dense LU Matrix FactorizationRyzen 7 7840UCore Ultra 7 155H3K6K9K12K15KSE +/- 172.82, N = 3SE +/- 199.16, N = 315816.0410250.90

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix MultiplyRyzen 7 7840UCore Ultra 7 155H8001600240032004000SE +/- 175.10, N = 3SE +/- 143.87, N = 33760.213696.16

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Fast Fourier TransformRyzen 7 7840UCore Ultra 7 155H150300450600750SE +/- 2.39, N = 3SE +/- 14.60, N = 3340.38710.18

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Monte CarloRyzen 7 7840UCore Ultra 7 155H400800120016002000SE +/- 3.31, N = 3SE +/- 10.81, N = 32079.561331.12

Geometric Mean Of All Test Results

OpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult Composite - Intel Core Ultra 7 155H vs. AMD Ryzen 7 7840U Linux BenchmarksRyzen 7 7840UCore Ultra 7 155H122436486054.2042.31

Number Of First Place Finishes

Ryzen 7 7840U295 [79.7%]Core Ultra 7 155H75 [20.3%]Number Of First Place FinishesWins - 370 TestsOpenBenchmarking.org

Number Of Last Place Finishes

Ryzen 7 7840U78 [21.1%]Core Ultra 7 155H292 [78.9%]Number Of Last Place FinishesLosses - 370 TestsOpenBenchmarking.org

373 Results Shown

Xmrig
WebP2 Image Encode
Blender
Timed Linux Kernel Compilation
LeelaChessZero
Selenium
PyTorch
Whisper.cpp
PyTorch
OSPRay Studio
LeelaChessZero
GNU Radio:
  Hilbert Transform
  FM Deemphasis Filter
  IIR Filter
  FIR Filter
  Signal Source (Cosine)
  Five Back to Back FIR Filters
OpenVKL
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
Helsing
OSPRay Studio
PyTorch
Blender
Scikit-Learn:
  Hist Gradient Boosting
  TSNE MNIST Dataset
OSPRay Studio
OpenSSL
Scikit-Learn
ScyllaDB
Timed Godot Game Engine Compilation
VVenC
asmFish
OpenSSL
PyTorch
WebP2 Image Encode
Blender
OpenRadioss
Scikit-Learn
OpenCV
OSPRay
Whisper.cpp
Numenta Anomaly Benchmark
Appleseed
OpenRadioss
Xmrig:
  CryptoNight-Femto UPX2 - 1M
  Monero - 1M
  CryptoNight-Heavy - 1M
  KawPow - 1M
OSPRay Studio:
  3 - 1080p - 16 - Path Tracer - CPU
  1 - 4K - 16 - Path Tracer - CPU
Embree
LuaRadio:
  Complex Phase
  Hilbert Transform
  FM Deemphasis Filter
  Five Back to Back FIR Filters
OpenRadioss
OSPRay Studio
LuxCoreRender
PyTorch
OSPRay
Blender
Numenta Anomaly Benchmark
FFmpeg
TensorFlow
FFmpeg
OSPRay
simdjson
Xmrig
Zstd Compression:
  19, Long Mode - Decompression Speed
  19, Long Mode - Compression Speed
Timed FFmpeg Compilation
GROMACS
OSPRay
Embree
LuxCoreRender
OpenVINO:
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
OSPRay
Zstd Compression:
  8 - Decompression Speed
  8 - Compression Speed
WebP2 Image Encode
TensorFlow Lite
IndigoBench:
  CPU - Bedroom
  CPU - Supercar
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
LuxCoreRender
OpenVINO:
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
FFmpeg
WireGuard + Linux Networking Stack Stress Test
OpenVINO:
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
RocksDB
OpenSSL:
  SHA256
  AES-256-GCM
  AES-128-GCM
  SHA512
TensorFlow Lite
LuxCoreRender
OSPRay
Blender
TensorFlow Lite
RocksDB
OSPRay Studio
Appleseed
libavif avifenc
Appleseed
Timed Linux Kernel Compilation
RocksDB
OpenRadioss
Scikit-Learn
PyTorch
OpenVINO:
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
OpenSSL:
  RSA4096:
    verify/s
    sign/s
OSPRay Studio
x265
uvg266
NAS Parallel Benchmarks
Numenta Anomaly Benchmark
uvg266
Selenium
Stockfish
TensorFlow Lite
Numpy Benchmark
Stargate Digital Audio Workstation
ASTC Encoder
TensorFlow
Intel Open Image Denoise
Kvazaar
Numenta Anomaly Benchmark
OpenVINO:
  Road Segmentation ADAS FP16-INT8 - CPU:
    ms
    FPS
  Face Detection Retail FP16-INT8 - CPU:
    ms
    FPS
LZ4 Compression:
  3 - Decompression Speed
  3 - Compression Speed
SVT-AV1
uvg266
Zstd Compression:
  8, Long Mode - Decompression Speed
  8, Long Mode - Compression Speed
C-Ray
John The Ripper:
  bcrypt
  Blowfish
PyTorch:
  CPU - 32 - ResNet-50
  CPU - 16 - ResNet-50
Chaos Group V-RAY
Liquid-DSP
PyPerformance
Kvazaar
OSPRay Studio:
  3 - 4K - 1 - Path Tracer - CPU
  1 - 1080p - 1 - Path Tracer - CPU
PyHPC Benchmarks
VVenC
TensorFlow Lite
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
Scikit-Learn
Selenium
Embree
Primesieve
VVenC
Selenium
Stargate Digital Audio Workstation
Timed GDB GNU Debugger Compilation
SVT-AV1
ASKAP:
  tConvolve MPI - Gridding
  tConvolve MPI - Degridding
GraphicsMagick
Neural Magic DeepSparse:
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Z3 Theorem Prover
Zstd Compression:
  19 - Decompression Speed
  19 - Compression Speed
libavif avifenc
OSPRay Studio
VVenC
Timed PHP Compilation
GEGL
Perl Benchmarks
simdjson
Selenium
simdjson
LuxCoreRender
simdjson
FFmpeg
Kvazaar
Scikit-Learn
RawTherapee
Zstd Compression:
  12 - Decompression Speed
  12 - Compression Speed
OSPRay Studio
ASKAP:
  tConvolve MT - Gridding
  tConvolve MT - Degridding
simdjson
GraphicsMagick:
  Enhanced
  Noise-Gaussian
RocksDB
GraphicsMagick:
  Swirl
  Resizing
  Rotate
  HWB Color Space
Node.js V8 Web Tooling Benchmark
QuantLib
OpenSCAD
Timed Wasmer Compilation
Stargate Digital Audio Workstation
Perl Benchmarks
Stargate Digital Audio Workstation
LZ4 Compression:
  9 - Decompression Speed
  9 - Compression Speed
SQLite Speedtest
Neural Magic DeepSparse:
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream:
    ms/batch
    items/sec
SVT-VP9
ASKAP
Neural Magic DeepSparse:
  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
GEGL
PyHPC Benchmarks
Neural Magic DeepSparse:
  CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream:
    ms/batch
    items/sec
ASTC Encoder
Numenta Anomaly Benchmark
SVT-AV1
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
Liquid-DSP
Selenium
Neural Magic DeepSparse:
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Git
7-Zip Compression:
  Decompression Rating
  Compression Rating
GEGL:
  Color Enhance
  Rotate 90 Degrees
NAS Parallel Benchmarks
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
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Selenium
SVT-VP9
OCRMyPDF
SVT-VP9
Z3 Theorem Prover
Selenium
PyPerformance
x265
PyTorch
Selenium:
  PSPDFKit WASM - Firefox
  ARES-6 - Google Chrome
PyPerformance
PHPBench
Selenium
SVT-AV1
uvg266
LZ4 Compression:
  1 - Decompression Speed
  1 - Compression Speed
Aircrack-ng
Liquid-DSP
PyPerformance
Liquid-DSP:
  8 - 256 - 512
  4 - 256 - 512
  1 - 256 - 32
  2 - 256 - 32
  2 - 256 - 512
  4 - 256 - 32
  1 - 256 - 512
NAS Parallel Benchmarks
eSpeak-NG Speech Engine
uvg266
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 1080p
Kvazaar
ASTC Encoder
GEGL
Inkscape
OpenSCAD
Java SciMark
libjpeg-turbo tjbench
uvg266
FLAC Audio Encoding
GEGL
GIMP
Kvazaar
PyPerformance
WebP2 Image Encode
PyBench
GEGL
Helsing
R Benchmark
QuantLib
RNNoise
OpenSCAD
Selenium
Unpacking Firefox
libavif avifenc
GIMP
Selenium:
  WASM collisionDetection - Google Chrome
  Kraken - Google Chrome
GIMP:
  unsharp-mask
  rotate
ASTC Encoder
Kvazaar
Numenta Anomaly Benchmark
Selenium
libavif avifenc
Darktable
GNU Octave Benchmark
GEGL
LAME MP3 Encoding
GEGL
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
  Dense LU Matrix Factorization
  Sparse Matrix Multiply
  Fast Fourier Transform
  Monte Carlo
Geometric Mean Of All Test Results:
  Result Composite - Intel Core Ultra 7 155H vs. AMD Ryzen 7 7840U Linux Benchmarks
  Wins - 370 Tests
  Losses - 370 Tests

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.

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.