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
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts
Allow Limiting Results To Certain Suite(s)

Statistics

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

Graph Settings

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

Additional Graphs

Show Perf Per Core/Thread Calculation Graphs Where Applicable
Show Perf Per Clock Calculation Graphs Where Applicable

Multi-Way Comparison

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

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
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
Invert Behavior (Only Show Selected Data)
  2 Days, 6 Hours, 35 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

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: 1MCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 4.56, N = 3SE +/- 7.40, N = 7674.2792.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1122334455Min: 1.54 / Avg: 32.94 / Max: 52.82Min: 2.66 / Avg: 32.17 / Max: 38.71

WebP2 Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless CompressionCore Ultra 7 155HRyzen 7 7840U0.00230.00460.00690.00920.0115SE +/- 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 MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.46 / Avg: 32.63 / Max: 64.29Min: 3.04 / Avg: 32.46 / Max: 51.12

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Barbershop - Compute: CPU-OnlyCore Ultra 7 155HRyzen 7 7840U400800120016002000SE +/- 0.62, N = 3SE +/- 2.38, N = 31840.781363.86
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.62 / Avg: 32.09 / Max: 64.17Min: 2.28 / Avg: 32.93 / Max: 51.05

Timed Linux Kernel Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: allmodconfigCore Ultra 7 155HRyzen 7 7840U400800120016002000SE +/- 1.05, N = 3SE +/- 10.29, N = 31638.811435.52
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.8 / Avg: 32.62 / Max: 64.25Min: 3.27 / Avg: 30.08 / Max: 50.98

LeelaChessZero

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

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.30Backend: BLASCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.62, N = 9SE +/- 1.12, N = 945941. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.30CPU Power Consumption MonitorCore Ultra 7 155H1326395265Min: 1.41 / Avg: 31.7 / Max: 64.31

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840U70140210280350SE +/- 3.29, N = 3SE +/- 0.94, N = 3280.93308.821. chrome 120.0.6099.109
OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1122334455Min: 1.08 / Avg: 5.73 / Max: 56.15Min: 1.82 / Avg: 4.47 / Max: 45.76

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_lCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.08, N = 9SE +/- 0.07, N = 33.778.49MIN: 2.14 / MAX: 5.2MIN: 6.91 / MAX: 8.8
OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1224364860Min: 4.68 / Avg: 33.29 / Max: 61.31Min: 2.25 / Avg: 32.49 / Max: 45.68

Whisper.cpp

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-small.en - Input: 2016 State of the UnionCore Ultra 7 155HRyzen 7 7840U30060090012001500SE +/- 2.40, N = 3SE +/- 2.21, N = 31256.46376.501. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterWhisper.cpp 1.4CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.79 / Avg: 33.98 / Max: 64.05Min: 2.01 / Avg: 32.42 / Max: 50.92

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.06, N = 9SE +/- 0.05, N = 33.928.50MIN: 2.17 / MAX: 5.21MIN: 6.64 / MAX: 8.87
OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1224364860Min: 2.69 / Avg: 33.66 / Max: 59.44Min: 3.08 / Avg: 32.46 / Max: 45.86

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U140K280K420K560K700KSE +/- 6506.82, N = 5SE +/- 193.91, N = 3656126454383
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.44 / Avg: 32.41 / Max: 64.31Min: 3.56 / Avg: 32.4 / Max: 51.04

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: EigenCore Ultra 7 155HRyzen 7 7840U1530456075SE +/- 0.57, N = 9SE +/- 0.58, N = 339691. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterLeelaChessZero 0.30CPU Power Consumption MonitorCore Ultra 7 155H1326395265Min: 1.55 / Avg: 31.67 / Max: 64.27

GNU Radio

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

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Hilbert TransformCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 6.03, N = 9SE +/- 9.92, N = 3923.3633.51. 3.10.7.0
OpenBenchmarking.orgWatts, Fewer Is BetterGNU RadioCPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1224364860Min: 1.42 / Avg: 25.71 / Max: 62.44Min: 6.81 / Avg: 21.11 / Max: 48.93

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FM Deemphasis FilterCore Ultra 7 155HRyzen 7 7840U30060090012001500SE +/- 8.02, N = 9SE +/- 4.19, N = 31288.01054.41. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: IIR FilterCore Ultra 7 155HRyzen 7 7840U110220330440550SE +/- 2.25, N = 9SE +/- 2.30, N = 3518.7478.61. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: FIR FilterCore Ultra 7 155HRyzen 7 7840U30060090012001500SE +/- 7.37, N = 9SE +/- 3.00, N = 31055.31342.81. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Signal Source (Cosine)Core Ultra 7 155HRyzen 7 7840U10002000300040005000SE +/- 42.75, N = 9SE +/- 73.88, N = 34261.64593.51. 3.10.7.0

OpenBenchmarking.orgMiB/s, More Is BetterGNU RadioTest: Five Back to Back FIR FiltersCore Ultra 7 155HRyzen 7 7840U30060090012001500SE +/- 22.01, N = 9SE +/- 12.25, N = 31379.11418.71. 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 ISPCCore Ultra 7 155HRyzen 7 7840U50100150200250SE +/- 2.00, N = 3SE +/- 0.33, N = 3194247MIN: 10 / MAX: 2735MIN: 18 / MAX: 3308
OpenBenchmarking.orgWatts, Fewer Is BetterOpenVKL 2.0.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.46 / Avg: 31.96 / Max: 64.28Min: 3.73 / Avg: 32.21 / Max: 51.05

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: FastestDetCore Ultra 7 155HRyzen 7 7840U1.30732.61463.92195.22926.5365SE +/- 0.35, N = 9SE +/- 0.03, N = 145.812.92MIN: 3.49 / MAX: 192.47MIN: 2.53 / MAX: 14.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgWatts, Fewer Is BetterNCNN 20230517CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.36 / Avg: 29.12 / Max: 65.29Min: 4.95 / Avg: 31.66 / Max: 39.46

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: regnety_400mCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.88, N = 9SE +/- 0.03, N = 1518.406.05MIN: 8.73 / MAX: 1249.99MIN: 5.45 / MAX: 18.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: squeezenet_ssdCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.28, N = 9SE +/- 0.13, N = 1512.737.87MIN: 7.98 / MAX: 760.97MIN: 6.63 / MAX: 40.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: yolov4-tinyCore Ultra 7 155HRyzen 7 7840U714212835SE +/- 1.63, N = 9SE +/- 0.18, N = 1528.6517.21MIN: 20.27 / MAX: 806.08MIN: 15.85 / MAX: 32.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet50Core Ultra 7 155HRyzen 7 7840U714212835SE +/- 1.79, N = 9SE +/- 0.19, N = 1528.0513.20MIN: 18.29 / MAX: 1282.02MIN: 10.88 / MAX: 39.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: alexnetCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.67, N = 9SE +/- 0.07, N = 158.165.73MIN: 4.89 / MAX: 412.07MIN: 4.95 / MAX: 17.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: resnet18Core Ultra 7 155HRyzen 7 7840U3691215SE +/- 1.01, N = 9SE +/- 0.10, N = 1510.695.86MIN: 6.47 / MAX: 698.18MIN: 5.14 / MAX: 18.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: vgg16Core Ultra 7 155HRyzen 7 7840U1224364860SE +/- 2.73, N = 9SE +/- 0.18, N = 1553.5241.12MIN: 32.69 / MAX: 684.01MIN: 38.67 / MAX: 68.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: googlenetCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.59, N = 9SE +/- 0.14, N = 1515.878.27MIN: 9.13 / MAX: 942.71MIN: 7.08 / MAX: 53.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: blazefaceCore Ultra 7 155HRyzen 7 7840U0.42750.8551.28251.712.1375SE +/- 0.12, N = 9SE +/- 0.01, N = 151.900.79MIN: 1.4 / MAX: 4.88MIN: 0.74 / MAX: 2.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: efficientnet-b0Core Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.44, N = 9SE +/- 0.02, N = 159.674.00MIN: 6.14 / MAX: 461.84MIN: 3.55 / MAX: 15.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mnasnetCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.41, N = 9SE +/- 0.02, N = 157.082.56MIN: 3.88 / MAX: 392.57MIN: 2.27 / MAX: 15.421. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: shufflenet-v2Core Ultra 7 155HRyzen 7 7840U1.27352.5473.82055.0946.3675SE +/- 0.27, N = 9SE +/- 0.01, N = 155.662.29MIN: 3.35 / MAX: 356.06MIN: 2.07 / MAX: 27.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v3-v3 - Model: mobilenet-v3Core Ultra 7 155HRyzen 7 7840U246810SE +/- 0.39, N = 9SE +/- 0.01, N = 156.832.68MIN: 3.77 / MAX: 568.9MIN: 2.38 / MAX: 13.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU-v2-v2 - Model: mobilenet-v2Core Ultra 7 155HRyzen 7 7840U246810SE +/- 0.44, N = 9SE +/- 0.01, N = 156.552.99MIN: 4.01 / MAX: 476.69MIN: 2.59 / MAX: 14.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20230517Target: CPU - Model: mobilenetCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.82, N = 9SE +/- 0.08, N = 1519.5410.54MIN: 12.87 / MAX: 771.57MIN: 9.52 / MAX: 23.751. (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 digitCore Ultra 7 155HRyzen 7 7840U160320480640800SE +/- 5.85, N = 3SE +/- 0.41, N = 3719.83541.431. (CC) gcc options: -O2 -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.39 / Avg: 34.64 / Max: 64.21Min: 2.3 / Avg: 32.89 / Max: 50.92

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U70K140K210K280K350KSE +/- 2820.51, N = 8SE +/- 252.76, N = 3326459228806
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.46 / Avg: 32.29 / Max: 64.28Min: 1.57 / Avg: 31.86 / Max: 51.04

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152Core Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.08, N = 9SE +/- 0.09, N = 36.0812.54MIN: 2.91 / MAX: 7.76MIN: 9.91 / MAX: 13.32
OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1224364860Min: 4.4 / Avg: 34.03 / Max: 63.16Min: 3.18 / Avg: 32.26 / Max: 47.72

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Pabellon Barcelona - Compute: CPU-OnlyCore Ultra 7 155HRyzen 7 7840U120240360480600SE +/- 1.29, N = 3SE +/- 0.26, N = 3572.73467.19
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.68 / Avg: 32.59 / Max: 64.14Min: 3.58 / Avg: 32.85 / Max: 51.04

Scikit-Learn

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

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

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

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: CPUCore Ultra 7 155HRyzen 7 7840U120K240K360K480K600KSE +/- 1095.22, N = 3SE +/- 105.51, N = 3559566381796
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.66 / Avg: 32.44 / Max: 65.17Min: 2.88 / Avg: 32.29 / Max: 51.04

OpenSSL

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20-Poly1305Core Ultra 7 155HRyzen 7 7840U8000M16000M24000M32000M40000MSE +/- 183459477.47, N = 12SE +/- 15102420.85, N = 317574983886364093271601. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.07 / Avg: 33.44 / Max: 64.03Min: 2.88 / Avg: 32.72 / Max: 50.98

Scikit-Learn

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

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

ScyllaDB

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

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: WritesCore Ultra 7 155HRyzen 7 7840U15K30K45K60K75KSE +/- 2393.89, N = 12SE +/- 308.66, N = 36832165439
OpenBenchmarking.orgWatts, Fewer Is BetterScyllaDB 5.2.9CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.02 / Avg: 29.9 / Max: 64.11Min: 3.14 / Avg: 26.61 / Max: 51.03

Timed Godot Game Engine Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileCore Ultra 7 155HRyzen 7 7840U100200300400500SE +/- 2.91, N = 3SE +/- 0.52, N = 3455.17421.55
OpenBenchmarking.orgWatts, Fewer Is BetterTimed Godot Game Engine Compilation 4.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.79 / Avg: 31.89 / Max: 64.07Min: 3.4 / Avg: 31.67 / Max: 51.1

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FastCore Ultra 7 155HRyzen 7 7840U0.92721.85442.78163.70884.636SE +/- 0.034, N = 12SE +/- 0.006, N = 33.3914.1211. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.35 / Avg: 32.9 / Max: 64.48Min: 3.65 / Avg: 32.15 / Max: 50.91

asmFish

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

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthCore Ultra 7 155HRyzen 7 7840U7M14M21M28M35MSE +/- 306334.24, N = 4SE +/- 1331554.79, N = 122510917432605313
MinAvgMaxCore Ultra 7 155H1.632.464.4Ryzen 7 7840U3.232.551.0OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23CPU Power Consumption Monitor20406080100

OpenSSL

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: ChaCha20Core Ultra 7 155HRyzen 7 7840U11000M22000M33000M44000M55000MSE +/- 189080382.65, N = 11SE +/- 10619881.22, N = 325496309164515742803771. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.12 / Avg: 33.65 / Max: 64.04Min: 3.11 / Avg: 32.67 / Max: 50.98

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152Core Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.06, N = 7SE +/- 0.02, N = 36.2012.56MIN: 3.26 / MAX: 7.73MIN: 11.12 / MAX: 13.19
OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1224364860Min: 4.72 / Avg: 33.94 / Max: 60.22Min: 3.32 / Avg: 32.27 / Max: 47.6

WebP2 Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7Core Ultra 7 155HRyzen 7 7840U0.01350.0270.04050.0540.0675SE +/- 0.00, N = 3SE +/- 0.00, N = 30.060.061. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.85 / Avg: 33.47 / Max: 64.06Min: 3.52 / Avg: 32.67 / Max: 51.1

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Classroom - Compute: CPU-OnlyCore Ultra 7 155HRyzen 7 7840U100200300400500SE +/- 1.66, N = 3SE +/- 0.50, N = 3438.91363.54
OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.45 / Avg: 32.55 / Max: 64.05Min: 2.08 / Avg: 32.8 / Max: 51.04

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bird Strike on WindshieldCore Ultra 7 155HRyzen 7 7840U100200300400500SE +/- 4.62, N = 3SE +/- 0.72, N = 3452.85318.30
OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.59 / Avg: 32.79 / Max: 64.06Min: 3.18 / Avg: 32.68 / Max: 50.98

Scikit-Learn

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

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

OpenCV

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

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.7Test: CoreCore Ultra 7 155HRyzen 7 7840U30K60K90K120K150KSE +/- 2488.39, N = 12SE +/- 290.67, N = 3146696994141. (CXX) g++ options: -fPIC -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -shared
OpenBenchmarking.orgWatts, Fewer Is BetterOpenCV 4.7CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.07 / Avg: 27.17 / Max: 64.07Min: 6.62 / Avg: 19.07 / Max: 49.98

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/ao/real_timeCore Ultra 7 155HRyzen 7 7840U0.841.682.523.364.2SE +/- 0.03548, N = 12SE +/- 0.00268, N = 33.733503.04195
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.52 / Avg: 32.86 / Max: 64.02Min: 2.3 / Avg: 32.52 / Max: 50.9

Whisper.cpp

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWhisper.cpp 1.4Model: ggml-base.en - Input: 2016 State of the UnionCore Ultra 7 155HRyzen 7 7840U80160240320400SE +/- 4.62, N = 4SE +/- 0.81, N = 3379.92134.791. (CXX) g++ options: -O3 -std=c++11 -fPIC -pthread
OpenBenchmarking.orgWatts, Fewer Is BetterWhisper.cpp 1.4CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.84 / Avg: 33.96 / Max: 64.03Min: 3.66 / Avg: 32.35 / Max: 50.98

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 1.07, N = 15SE +/- 1.10, N = 495.3089.05
OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 4.37 / Avg: 32.53 / Max: 64.29Min: 6.83 / Avg: 32.06 / Max: 51.04

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: EmilyCore Ultra 7 155HRyzen 7 7840U100200300400500483.94364.24
MinAvgMaxCore Ultra 7 155H1.832.164.3Ryzen 7 7840U2.732.851.1OpenBenchmarking.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 InstallationCore Ultra 7 155HRyzen 7 7840U70140210280350SE +/- 1.30, N = 3SE +/- 0.21, N = 3331.70201.54
MinAvgMaxCore Ultra 7 155H1.632.664.1Ryzen 7 7840U3.232.451.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor20406080100

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840U9001800270036004500SE +/- 11.05, N = 3SE +/- 6.97, N = 34160.83507.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.831.564.1Ryzen 7 7840U3.430.442.6OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840U9001800270036004500SE +/- 7.29, N = 3SE +/- 11.00, N = 34197.43488.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.732.364.1Ryzen 7 7840U3.530.245.2OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840U9001800270036004500SE +/- 8.42, N = 3SE +/- 11.56, N = 34181.53519.11. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.631.764.1Ryzen 7 7840U3.331.446.5OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840U9001800270036004500SE +/- 51.18, N = 3SE +/- 11.21, N = 34307.43501.61. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.634.364.1Ryzen 7 7840U3.531.450.9OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U20K40K60K80K100KSE +/- 551.82, N = 15SE +/- 41.73, N = 38107260677
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.61 / Avg: 32.42 / Max: 64.33Min: 3.27 / Avg: 29.33 / Max: 51.04

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 4K - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U60K120K180K240K300KSE +/- 992.05, N = 3SE +/- 194.66, N = 3278225193022
MinAvgMaxCore Ultra 7 155H1.632.664.1Ryzen 7 7840U3.131.651.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: CrownCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.0775, N = 15SE +/- 0.0288, N = 39.071611.2127MIN: 7.78 / MAX: 12.6MIN: 11.07 / MAX: 12.86
OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.54 / Avg: 33.21 / Max: 64.28Min: 3.79 / Avg: 32.07 / Max: 50.99

LuaRadio

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

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Complex PhaseCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 1.53, N = 3SE +/- 18.90, N = 31054.91084.3
MinAvgMaxCore Ultra 7 155H1.521.128.7Ryzen 7 7840U6.722.249.8OpenBenchmarking.orgWatts, Fewer Is BetterLuaRadio 0.9.1CPU Power Consumption Monitor1428425670

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Hilbert TransformCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 0.84, N = 3SE +/- 0.23, N = 3184.7129.1

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: FM Deemphasis FilterCore Ultra 7 155HRyzen 7 7840U120240360480600SE +/- 17.44, N = 3SE +/- 1.01, N = 3553.6443.5

OpenBenchmarking.orgMiB/s, More Is BetterLuaRadio 0.9.1Test: Five Back to Back FIR FiltersCore Ultra 7 155HRyzen 7 7840U400800120016002000SE +/- 4.56, N = 3SE +/- 5.35, N = 3580.01645.2

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Bumper BeamCore Ultra 7 155HRyzen 7 7840U60120180240300SE +/- 3.72, N = 3SE +/- 0.63, N = 3292.58181.10
MinAvgMaxCore Ultra 7 155H1.533.364.1Ryzen 7 7840U2.532.451.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor20406080100

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U11002200330044005500SE +/- 34.75, N = 13SE +/- 7.21, N = 350953565
OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption MonitorCore Ultra 7 155HRyzen 7 7840U1326395265Min: 1.47 / Avg: 32.41 / Max: 64.19Min: 3.18 / Avg: 29.83 / Max: 51.04

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Danish Mood - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U0.29250.5850.87751.171.4625SE +/- 0.01, N = 15SE +/- 0.01, N = 60.981.30MIN: 0.23 / MAX: 1.36MIN: 0.33 / MAX: 1.66
MinAvgMaxCore Ultra 7 155H1.533.163.8Ryzen 7 7840U2.731.951.0OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152Core Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.32, N = 9SE +/- 0.06, N = 39.5220.14MIN: 3.59 / MAX: 13.21MIN: 17.16 / MAX: 20.95
MinAvgMaxCore Ultra 7 155H4.532.660.6Ryzen 7 7840U3.231.247.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20406080100

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/scivis/real_timeCore Ultra 7 155HRyzen 7 7840U0.84711.69422.54133.38844.2355SE +/- 0.04340, N = 4SE +/- 0.00280, N = 33.764823.03500
MinAvgMaxCore Ultra 7 155H1.633.263.9Ryzen 7 7840U2.832.751.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: Fishy Cat - Compute: CPU-OnlyCore Ultra 7 155HRyzen 7 7840U50100150200250SE +/- 1.37, N = 3SE +/- 0.58, N = 3231.90186.07
MinAvgMaxCore Ultra 7 155H1.732.564.1Ryzen 7 7840U2.032.651.1OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20406080100

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADCore Ultra 7 155HRyzen 7 7840U50100150200250SE +/- 1.27, N = 3SE +/- 2.15, N = 3169.88234.01
MinAvgMaxCore Ultra 7 155H4.434.965.5Ryzen 7 7840U6.733.056.6OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

FFmpeg

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

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: Video On DemandCore Ultra 7 155HRyzen 7 7840U1122334455SE +/- 0.02, N = 3SE +/- 0.04, N = 335.5950.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.633.555.5Ryzen 7 7840U3.431.943.8OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1530456075

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 32 - Model: ResNet-50Core Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.01, N = 3SE +/- 0.01, N = 314.9722.19
MinAvgMaxCore Ultra 7 155H4.933.458.5Ryzen 7 7840U2.732.348.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor1632486480

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: PlatformCore Ultra 7 155HRyzen 7 7840U1122334455SE +/- 0.09, N = 3SE +/- 0.03, N = 335.7850.341. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.633.753.7Ryzen 7 7840U2.432.045.2OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1530456075

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/pathtracer/real_timeCore Ultra 7 155HRyzen 7 7840U0.75821.51642.27463.03283.791SE +/- 0.02264, N = 15SE +/- 0.00992, N = 32.340883.36988
MinAvgMaxCore Ultra 7 155H1.532.464.0Ryzen 7 7840U3.431.750.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100

simdjson

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

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: KostyaCore Ultra 7 155HRyzen 7 7840U1.14082.28163.42244.56325.704SE +/- 0.04, N = 15SE +/- 0.02, N = 34.165.071. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.422.329.0Ryzen 7 7840U3.118.220.2OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor918273645

Xmrig

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

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1MCore Ultra 7 155HRyzen 7 7840U11002200330044005500SE +/- 33.68, N = 3SE +/- 20.29, N = 35271.55210.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc
MinAvgMaxCore Ultra 7 155H1.633.064.1Ryzen 7 7840U3.729.344.5OpenBenchmarking.orgWatts, Fewer Is BetterXmrig 6.21CPU Power Consumption Monitor20406080100

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Decompression SpeedCore Ultra 7 155HRyzen 7 7840U30060090012001500SE +/- 10.21, N = 15SE +/- 10.67, N = 31562.81397.5-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.427.350.3Ryzen 7 7840U3.118.027.6OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor1428425670

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19, Long Mode - Compression SpeedCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.06, N = 15SE +/- 0.01, N = 36.606.32-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 CompileCore Ultra 7 155HRyzen 7 7840U1530456075SE +/- 0.65, N = 15SE +/- 0.04, N = 365.4955.79
MinAvgMaxCore Ultra 7 155H1.732.064.4Ryzen 7 7840U2.630.351.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed FFmpeg Compilation 6.1CPU Power Consumption Monitor20406080100

GROMACS

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

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2023Implementation: MPI CPU - Input: water_GMX50_bareCore Ultra 7 155HRyzen 7 7840U0.22640.45280.67920.90561.132SE +/- 0.007, N = 3SE +/- 0.002, N = 30.8891.0061. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.534.964.9Ryzen 7 7840U1.532.350.9OpenBenchmarking.orgWatts, Fewer Is BetterGROMACS 2023CPU Power Consumption Monitor20406080100

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore Ultra 7 155HRyzen 7 7840U0.63281.26561.89842.53123.164SE +/- 0.02189, N = 15SE +/- 0.00291, N = 31.662512.81235
MinAvgMaxCore Ultra 7 155H1.632.064.3Ryzen 7 7840U3.631.150.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian DragonCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.09, N = 15SE +/- 0.03, N = 311.6113.80MIN: 10.89 / MAX: 15.03MIN: 13.67 / MAX: 15.06
MinAvgMaxCore Ultra 7 155H1.632.564.3Ryzen 7 7840U3.431.750.9OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor20406080100

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: LuxCore Benchmark - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U0.33750.6751.01251.351.6875SE +/- 0.01, N = 15SE +/- 0.01, N = 31.181.50MIN: 0.28 / MAX: 1.57MIN: 0.42 / MAX: 1.87
MinAvgMaxCore Ultra 7 155H1.533.764.0Ryzen 7 7840U3.431.950.9OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 7.14, N = 15SE +/- 1.59, N = 31105.08405.33-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 458.17 / MAX: 1748.77-shared -ldl - MIN: 342.91 / MAX: 427.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H2.733.264.1Ryzen 7 7840U2.631.651.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.04, N = 15SE +/- 0.04, N = 36.309.86-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: gravity_spheres_volume/dim_512/scivis/real_timeCore Ultra 7 155HRyzen 7 7840U0.60611.21221.81832.42443.0305SE +/- 0.01648, N = 15SE +/- 0.00731, N = 31.602492.69361
MinAvgMaxCore Ultra 7 155H1.532.064.2Ryzen 7 7840U3.531.250.9OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840U400800120016002000SE +/- 21.32, N = 3SE +/- 6.27, N = 151861.91896.5-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.533.660.7Ryzen 7 7840U2.726.641.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8 - Compression SpeedCore Ultra 7 155HRyzen 7 7840U100200300400500SE +/- 6.52, N = 3SE +/- 1.77, N = 15467.2217.6-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 7Core Ultra 7 155HRyzen 7 7840U0.02930.05860.08790.11720.1465SE +/- 0.00, N = 3SE +/- 0.00, N = 30.130.131. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxCore Ultra 7 155H1.535.164.3Ryzen 7 7840U2.832.551.0OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor20406080100

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception ResNet V2Core Ultra 7 155HRyzen 7 7840U30K60K90K120K150KSE +/- 2108.23, N = 15SE +/- 31.14, N = 3125552.030731.6
MinAvgMaxCore Ultra 7 155H4.633.764.6Ryzen 7 7840U3.031.951.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

IndigoBench

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

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomCore Ultra 7 155HRyzen 7 7840U0.42350.8471.27051.6942.1175SE +/- 0.016, N = 15SE +/- 0.001, N = 31.2881.882
MinAvgMaxCore Ultra 7 155H4.333.564.3Ryzen 7 7840U3.331.851.0OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarCore Ultra 7 155HRyzen 7 7840U0.93651.8732.80953.7464.6825SE +/- 0.039, N = 15SE +/- 0.010, N = 33.4514.162
MinAvgMaxCore Ultra 7 155H4.332.964.7Ryzen 7 7840U2.331.851.0OpenBenchmarking.orgWatts, Fewer Is BetterIndigoBench 4.4CPU Power Consumption Monitor20406080100

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUCore Ultra 7 155HRyzen 7 7840U80160240320400SE +/- 3.66, N = 15SE +/- 0.05, N = 3358.29113.02-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 189.82 / MAX: 500.52-shared -ldl - MIN: 75.9 / MAX: 137.691. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.432.365.6Ryzen 7 7840U3.331.848.7OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Detection FP16 - Device: CPUCore Ultra 7 155HRyzen 7 7840U816243240SE +/- 0.20, N = 15SE +/- 0.02, N = 319.5235.35-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: DLSC - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U0.42530.85061.27591.70122.1265SE +/- 0.01, N = 15SE +/- 0.01, N = 31.781.89MIN: 1.58 / MAX: 2.36MIN: 1.77 / MAX: 2.17
MinAvgMaxCore Ultra 7 155H1.433.464.3Ryzen 7 7840U3.032.051.1OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U306090120150SE +/- 1.18, N = 15SE +/- 0.06, N = 3154.6338.05-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 82.86 / MAX: 237.89-shared -ldl - MIN: 23.35 / MAX: 47.881. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.033.064.4Ryzen 7 7840U2.631.951.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Handwritten English Recognition FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U50100150200250SE +/- 0.85, N = 15SE +/- 0.26, N = 3109.71208.88-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUCore Ultra 7 155HRyzen 7 7840U714212835SE +/- 0.24, N = 15SE +/- 0.01, N = 329.748.30-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 13.33 / MAX: 63.08-shared -ldl - MIN: 4.8 / MAX: 23.81. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.432.964.1Ryzen 7 7840U2.031.951.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUCore Ultra 7 155HRyzen 7 7840U100200300400500SE +/- 1.90, N = 15SE +/- 0.36, N = 3234.99480.01-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

FFmpeg

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

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: UploadCore Ultra 7 155HRyzen 7 7840U612182430SE +/- 0.05, N = 3SE +/- 0.06, N = 318.2425.041. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.532.561.4Ryzen 7 7840U3.328.849.5OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor20406080100

WireGuard + Linux Networking Stack Stress Test

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

OpenBenchmarking.orgSeconds, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 1.29, N = 3SE +/- 1.66, N = 3178.18183.65
MinAvgMaxCore Ultra 7 155H1.735.460.5Ryzen 7 7840U2.831.544.2OpenBenchmarking.orgWatts, Fewer Is BetterWireGuard + Linux Networking Stack Stress TestCPU Power Consumption Monitor20406080100

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U612182430SE +/- 0.22, N = 15SE +/- 0.01, N = 325.898.09-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 12.01 / MAX: 76.15-shared -ldl - MIN: 3.61 / MAX: 21.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.033.064.3Ryzen 7 7840U3.632.051.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 5.39, N = 15SE +/- 1.60, N = 3648.24976.27-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update RandomCore Ultra 7 155HRyzen 7 7840U110K220K330K440K550KSE +/- 2110.32, N = 15SE +/- 1108.04, N = 33044825230261. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxCore Ultra 7 155H3.833.464.1Ryzen 7 7840U2.632.151.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20406080100

OpenSSL

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

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA256Core Ultra 7 155HRyzen 7 7840U3000M6000M9000M12000M15000MSE +/- 13390368.16, N = 3SE +/- 19132130.90, N = 313411595497135616933431. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H3.735.364.0Ryzen 7 7840U2.832.650.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-256-GCMCore Ultra 7 155HRyzen 7 7840U20000M40000M60000M80000M100000MSE +/- 242801059.98, N = 3SE +/- 34473975.03, N = 351668189820829774085231. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H4.333.964.0Ryzen 7 7840U3.232.651.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: AES-128-GCMCore Ultra 7 155HRyzen 7 7840U20000M40000M60000M80000M100000MSE +/- 806092335.86, N = 3SE +/- 143047725.80, N = 356746909603961362973131. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H4.133.964.1Ryzen 7 7840U3.232.751.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSL 3.1Algorithm: SHA512Core Ultra 7 155HRyzen 7 7840U900M1800M2700M3600M4500MSE +/- 15610792.14, N = 3SE +/- 1103382.53, N = 3423160382044106927731. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H4.034.464.0Ryzen 7 7840U3.432.750.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Inception V4Core Ultra 7 155HRyzen 7 7840U16K32K48K64K80KSE +/- 942.37, N = 13SE +/- 123.63, N = 373566.532952.4
MinAvgMaxCore Ultra 7 155H4.233.165.4Ryzen 7 7840U2.931.248.5OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Orange Juice - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U0.69751.3952.09252.793.4875SE +/- 0.02, N = 12SE +/- 0.01, N = 32.853.10MIN: 2.58 / MAX: 3.71MIN: 3.02 / MAX: 3.47
MinAvgMaxCore Ultra 7 155H1.533.564.3Ryzen 7 7840U2.831.851.0OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100

OSPRay

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

OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 2.12Benchmark: particle_volume/pathtracer/real_timeCore Ultra 7 155HRyzen 7 7840U306090120150SE +/- 0.60, N = 3SE +/- 0.06, N = 3108.37120.10
MinAvgMaxCore Ultra 7 155H1.533.365.0Ryzen 7 7840U2.532.751.1OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay 2.12CPU Power Consumption Monitor20406080100

Blender

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

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.0Blend File: BMW27 - Compute: CPU-OnlyCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 1.67, N = 3SE +/- 0.19, N = 3160.08145.91
MinAvgMaxCore Ultra 7 155H1.532.664.2Ryzen 7 7840U2.932.551.0OpenBenchmarking.orgWatts, Fewer Is BetterBlender 4.0CPU Power Consumption Monitor20406080100

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet FloatCore Ultra 7 155HRyzen 7 7840U8001600240032004000SE +/- 57.37, N = 12SE +/- 2.40, N = 33694.571690.54
MinAvgMaxCore Ultra 7 155H4.535.264.0Ryzen 7 7840U3.231.748.4OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingCore Ultra 7 155HRyzen 7 7840U400K800K1200K1600K2000KSE +/- 60495.91, N = 12SE +/- 8086.24, N = 3160422917741611. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxCore Ultra 7 155H4.233.564.3Ryzen 7 7840U3.132.151.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20406080100

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 1080p - Samples Per Pixel: 32 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U40K80K120K160K200KSE +/- 753.91, N = 3SE +/- 118.90, N = 3165339117411
MinAvgMaxCore Ultra 7 155H1.432.664.1Ryzen 7 7840U3.230.951.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

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 TesterCore Ultra 7 155HRyzen 7 7840U60120180240300256.34196.02
MinAvgMaxCore Ultra 7 155H1.933.465.6Ryzen 7 7840U2.132.851.1OpenBenchmarking.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: 0Core Ultra 7 155HRyzen 7 7840U306090120150SE +/- 0.55, N = 3SE +/- 0.08, N = 3155.33142.151. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H4.332.264.2Ryzen 7 7840U2.929.751.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

Appleseed

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

OpenBenchmarking.orgSeconds, Fewer Is BetterAppleseed 2.0 BetaScene: Disney MaterialCore Ultra 7 155HRyzen 7 7840U50100150200250231.82210.08
MinAvgMaxCore Ultra 7 155H1.733.664.0Ryzen 7 7840U2.332.751.0OpenBenchmarking.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: defconfigCore Ultra 7 155HRyzen 7 7840U306090120150SE +/- 1.38, N = 4SE +/- 0.64, N = 3127.61112.58
MinAvgMaxCore Ultra 7 155H1.632.764.3Ryzen 7 7840U3.129.951.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 6.1CPU Power Consumption Monitor20406080100

RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadCore Ultra 7 155HRyzen 7 7840U13M26M39M52M65MSE +/- 439126.31, N = 11SE +/- 204364.81, N = 359535959548186701. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxCore Ultra 7 155H4.533.864.3Ryzen 7 7840U2.831.951.0OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20406080100

OpenRadioss

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenRadioss 2023.09.15Model: Cell Phone Drop TestCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 1.79, N = 3SE +/- 0.25, N = 3158.81110.21
MinAvgMaxCore Ultra 7 155H1.632.964.1Ryzen 7 7840U2.931.851.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenRadioss 2023.09.15CPU Power Consumption Monitor20406080100

Scikit-Learn

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

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

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.03, N = 3SE +/- 0.08, N = 36.6511.97MIN: 2.63 / MAX: 9.58MIN: 11.15 / MAX: 12.35
MinAvgMaxCore Ultra 7 155H4.934.757.0Ryzen 7 7840U2.031.845.9OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor1632486480

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U0.28350.5670.85051.1341.4175SE +/- 0.01, N = 10SE +/- 0.00, N = 31.260.38-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 0.38 / MAX: 8.73-shared -ldl - MIN: 0.19 / MAX: 7.481. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.433.664.1Ryzen 7 7840U2.431.951.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U4K8K12K16K20KSE +/- 92.94, N = 10SE +/- 2.89, N = 312364.8718984.55-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

OpenSSL

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

OpenBenchmarking.orgverify/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Core Ultra 7 155HRyzen 7 7840U30K60K90K120K150KSE +/- 451.59, N = 10SE +/- 140.48, N = 3138795.8154053.01. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl
MinAvgMaxCore Ultra 7 155H3.834.464.4Ryzen 7 7840U3.431.951.2OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 3.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgsign/s, More Is BetterOpenSSL 3.1Algorithm: RSA4096Core Ultra 7 155HRyzen 7 7840U11002200330044005500SE +/- 16.23, N = 10SE +/- 23.60, N = 32138.85348.91. (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: CPUCore Ultra 7 155HRyzen 7 7840U30K60K90K120K150KSE +/- 1191.59, N = 3SE +/- 209.80, N = 314055798985
MinAvgMaxCore Ultra 7 155H1.532.564.1Ryzen 7 7840U3.430.551.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.13, N = 15SE +/- 0.19, N = 314.4013.371. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.533.163.9Ryzen 7 7840U3.231.047.4OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor20406080100

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Very FastCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.14, N = 15SE +/- 0.03, N = 313.9117.80
MinAvgMaxCore Ultra 7 155H1.532.862.9Ryzen 7 7840U3.331.249.6OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: BT.CCore Ultra 7 155HRyzen 7 7840U6K12K18K24K30KSE +/- 115.37, N = 3SE +/- 17.60, N = 327810.5620064.321. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
MinAvgMaxCore Ultra 7 155H1.733.364.1Ryzen 7 7840U3.232.035.1OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor20406080100

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointCore Ultra 7 155HRyzen 7 7840U714212835SE +/- 0.49, N = 12SE +/- 0.25, N = 1529.2025.37
MinAvgMaxCore Ultra 7 155H3.933.864.3Ryzen 7 7840U6.729.851.1OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Super FastCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.15, N = 15SE +/- 0.06, N = 314.7718.86
MinAvgMaxCore Ultra 7 155H1.632.762.9Ryzen 7 7840U3.131.250.3OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100

Selenium

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

OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 0.65, N = 3SE +/- 2.84, N = 3180.14200.981. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.822.657.5Ryzen 7 7840U2.917.045.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1632486480

Stockfish

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

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 15Total TimeCore Ultra 7 155HRyzen 7 7840U6M12M18M24M30MSE +/- 215349.47, N = 3SE +/- 317672.24, N = 32042907226151800-mavx512f -mavx512bw -mavx512vnni -mavx512dq -mavx512vl1. (CXX) g++ options: -lgcov -m64 -lpthread -fno-exceptions -std=c++17 -fno-peel-loops -fno-tracer -pedantic -O3 -msse -msse3 -mpopcnt -mavx2 -msse4.1 -mssse3 -msse2 -mbmi2 -flto -flto=jobserver
MinAvgMaxCore Ultra 7 155H1.632.964.1Ryzen 7 7840U3.432.351.0OpenBenchmarking.orgWatts, Fewer Is BetterStockfish 15CPU Power Consumption Monitor20406080100

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: SqueezeNetCore Ultra 7 155HRyzen 7 7840U13002600390052006500SE +/- 63.74, N = 4SE +/- 22.28, N = 76109.592363.21
MinAvgMaxCore Ultra 7 155H4.433.865.4Ryzen 7 7840U2.429.551.0OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkCore Ultra 7 155HRyzen 7 7840U140280420560700SE +/- 3.14, N = 3SE +/- 1.52, N = 3593.50657.86
MinAvgMaxCore Ultra 7 155H1.621.530.3Ryzen 7 7840U2.716.320.8OpenBenchmarking.orgWatts, Fewer Is BetterNumpy BenchmarkCPU Power Consumption Monitor918273645

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 192000 - Buffer Size: 1024Core Ultra 7 155HRyzen 7 7840U0.34110.68221.02331.36441.7055SE +/- 0.001506, N = 3SE +/- 0.007666, N = 31.5161411.5067661. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxCore Ultra 7 155H4.734.263.5Ryzen 7 7840U6.731.643.3OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor20406080100

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ExhaustiveCore Ultra 7 155HRyzen 7 7840U0.15060.30120.45180.60240.753SE +/- 0.0068, N = 5SE +/- 0.0007, N = 30.61250.66931. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxCore Ultra 7 155H4.434.064.2Ryzen 7 7840U2.731.651.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor20406080100

TensorFlow

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

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50Core Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.12, N = 3SE +/- 0.02, N = 314.3421.86
MinAvgMaxCore Ultra 7 155H4.434.155.6Ryzen 7 7840U2.431.749.6OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow 2.12CPU Power Consumption Monitor1530456075

Intel Open Image Denoise

OpenBenchmarking.orgImages / Sec, More Is BetterIntel Open Image Denoise 2.1Run: RT.ldr_alb_nrm.3840x2160 - Device: CPU-OnlyCore Ultra 7 155HRyzen 7 7840U0.07650.1530.22950.3060.3825SE +/- 0.00, N = 3SE +/- 0.00, N = 30.250.34
MinAvgMaxCore Ultra 7 155H1.633.061.0Ryzen 7 7840U2.732.350.5OpenBenchmarking.orgWatts, Fewer Is BetterIntel Open Image Denoise 2.1CPU Power Consumption Monitor20406080100

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Very FastCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.17, N = 15SE +/- 0.01, N = 316.8321.911. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.532.261.9Ryzen 7 7840U3.731.149.4OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSECore Ultra 7 155HRyzen 7 7840U816243240SE +/- 0.40, N = 15SE +/- 0.14, N = 333.4735.23
MinAvgMaxCore Ultra 7 155H3.832.564.3Ryzen 7 7840U7.023.551.0OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U1326395265SE +/- 0.54, N = 7SE +/- 0.13, N = 358.1823.29-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 27.84 / MAX: 100.27-shared -ldl - MIN: 11.62 / MAX: 32.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.333.564.0Ryzen 7 7840U2.731.851.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Road Segmentation ADAS FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 1.12, N = 7SE +/- 0.96, N = 3120.16171.23-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.07, N = 7SE +/- 0.01, N = 37.594.74-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 2.77 / MAX: 23.67-shared -ldl - MIN: 2.39 / MAX: 62.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H2.733.864.0Ryzen 7 7840U3.232.051.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Face Detection Retail FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U400800120016002000SE +/- 8.17, N = 7SE +/- 0.45, N = 3916.951668.12-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840U3K6K9K12K15KSE +/- 3.57, N = 9SE +/- 18.92, N = 39662.616186.61. (CC) gcc options: -O3
MinAvgMaxCore Ultra 7 155H1.619.926.3Ryzen 7 7840U2.216.721.8OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor816243240

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression SpeedCore Ultra 7 155HRyzen 7 7840U1632486480SE +/- 0.55, N = 9SE +/- 0.68, N = 367.5270.201. (CC) gcc options: -O3

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840U0.8241.6482.4723.2964.12SE +/- 0.024, N = 8SE +/- 0.014, N = 32.8773.6621. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.533.163.4Ryzen 7 7840U3.831.050.7OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 4K - Video Preset: Ultra FastCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.19, N = 15SE +/- 0.09, N = 318.3322.72
MinAvgMaxCore Ultra 7 155H1.633.163.1Ryzen 7 7840U3.230.949.8OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Decompression SpeedCore Ultra 7 155HRyzen 7 7840U400800120016002000SE +/- 16.19, N = 3SE +/- 4.26, N = 61870.61872.8-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.434.261.4Ryzen 7 7840U3.127.143.5OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 8, Long Mode - Compression SpeedCore Ultra 7 155HRyzen 7 7840U100200300400500SE +/- 1.88, N = 3SE +/- 2.40, N = 6445.3235.8-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 PixelCore Ultra 7 155HRyzen 7 7840U1428425670SE +/- 0.61, N = 6SE +/- 0.03, N = 360.1263.121. (CC) gcc options: -lm -lpthread -O3
MinAvgMaxCore Ultra 7 155H1.634.165.8Ryzen 7 7840U3.132.051.0OpenBenchmarking.orgWatts, Fewer Is BetterC-Ray 1.1CPU Power Consumption Monitor20406080100

John The Ripper

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

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: bcryptCore Ultra 7 155HRyzen 7 7840U4K8K12K16K20KSE +/- 256.27, N = 15SE +/- 55.81, N = 31466718631-lbz21. (CC) gcc options: -m64 -lssl -lcrypto -fopenmp -lgmp -lm -lrt -lz -ldl -lcrypt
MinAvgMaxCore Ultra 7 155H1.534.764.0Ryzen 7 7840U3.531.250.9OpenBenchmarking.orgWatts, Fewer Is BetterJohn The Ripper 2023.03.14CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgReal C/S, More Is BetterJohn The Ripper 2023.03.14Test: BlowfishCore Ultra 7 155HRyzen 7 7840U4K8K12K16K20KSE +/- 202.87, N = 15SE +/- 54.04, N = 31468018649-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-50Core Ultra 7 155HRyzen 7 7840U714212835SE +/- 0.21, N = 3SE +/- 0.14, N = 315.8429.22MIN: 11.12 / MAX: 20.44MIN: 26.95 / MAX: 29.98
MinAvgMaxCore Ultra 7 155H4.834.062.8Ryzen 7 7840U2.631.447.2OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50Core Ultra 7 155HRyzen 7 7840U714212835SE +/- 0.03, N = 3SE +/- 0.10, N = 316.0229.03MIN: 13.73 / MAX: 18.42MIN: 26 / MAX: 29.84
MinAvgMaxCore Ultra 7 155H4.434.861.0Ryzen 7 7840U3.331.347.1OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20406080100

Chaos Group V-RAY

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

OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 5.02Mode: CPUCore Ultra 7 155HRyzen 7 7840U2K4K6K8K10KSE +/- 94.03, N = 4SE +/- 23.67, N = 3897310793
MinAvgMaxCore Ultra 7 155H1.733.165.6Ryzen 7 7840U2.529.543.9OpenBenchmarking.orgWatts, Fewer Is BetterChaos Group V-RAY 5.02CPU Power Consumption Monitor20406080100

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840U120M240M360M480M600MSE +/- 2936005.47, N = 14SE +/- 1846085.95, N = 34953464295638800001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.235.364.1Ryzen 7 7840U3.231.451.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.00, N = 3SE +/- 0.01, N = 313.306.85
MinAvgMaxCore Ultra 7 155H1.46.58.3Ryzen 7 7840U2.815.416.5OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor510152025

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Super FastCore Ultra 7 155HRyzen 7 7840U612182430SE +/- 0.24, N = 15SE +/- 0.11, N = 320.7327.441. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.532.562.9Ryzen 7 7840U3.130.550.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 3 - Resolution: 4K - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U4K8K12K16K20KSE +/- 55.69, N = 3SE +/- 12.44, N = 31940314115
MinAvgMaxCore Ultra 7 155H1.933.564.2Ryzen 7 7840U3.230.251.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 1 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U9001800270036004500SE +/- 58.73, N = 3SE +/- 6.17, N = 342802990
MinAvgMaxCore Ultra 7 155H1.533.364.1Ryzen 7 7840U2.429.551.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

PyHPC Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral MixingCore Ultra 7 155HRyzen 7 7840U0.46330.92661.38991.85322.3165SE +/- 0.003, N = 3SE +/- 0.005, N = 32.0591.452
MinAvgMaxCore Ultra 7 155H4.223.727.5Ryzen 7 7840U6.818.720.8OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor816243240

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 4K - Video Preset: FasterCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.043, N = 3SE +/- 0.010, N = 36.8638.2071. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxCore Ultra 7 155H1.634.062.4Ryzen 7 7840U3.431.848.4OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor20406080100

TensorFlow Lite

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

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2022-05-18Model: Mobilenet QuantCore Ultra 7 155HRyzen 7 7840U12002400360048006000SE +/- 61.52, N = 5SE +/- 44.03, N = 35506.563381.29
MinAvgMaxCore Ultra 7 155H4.235.164.0Ryzen 7 7840U3.632.050.9OpenBenchmarking.orgWatts, Fewer Is BetterTensorFlow Lite 2022-05-18CPU Power Consumption Monitor20406080100

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U612182430SE +/- 0.27, N = 5SE +/- 0.01, N = 324.447.57-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF - MIN: 11.36 / MAX: 49.16-shared -ldl - MIN: 3.81 / MAX: 24.081. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC
MinAvgMaxCore Ultra 7 155H4.033.864.0Ryzen 7 7840U3.032.051.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenVINO 2023.2.devCPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2023.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUCore Ultra 7 155HRyzen 7 7840U110220330440550SE +/- 3.17, N = 5SE +/- 0.91, N = 3285.56525.96-isystem -std=c++11 -fvisibility=hidden -mavx2 -mfma -MD -MT -MF-shared -ldl1. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -fPIC

Scikit-Learn

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

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

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: FirefoxCore Ultra 7 155HRyzen 7 7840U130260390520650SE +/- 8.07, N = 15SE +/- 1.72, N = 3617.0511.81. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.610.423.3Ryzen 7 7840U3.010.620.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

Embree

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

OpenBenchmarking.orgFrames Per Second, More Is BetterEmbree 4.3Binary: Pathtracer ISPC - Model: Asian Dragon ObjCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.14, N = 3SE +/- 0.04, N = 310.2711.82MIN: 9.58 / MAX: 13.09MIN: 11.66 / MAX: 12.89
MinAvgMaxCore Ultra 7 155H1.832.764.2Ryzen 7 7840U3.730.551.2OpenBenchmarking.orgWatts, Fewer Is BetterEmbree 4.3CPU Power Consumption Monitor20406080100

Primesieve

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 8.0Length: 1e12Core Ultra 7 155HRyzen 7 7840U612182430SE +/- 0.31, N = 15SE +/- 0.13, N = 326.7117.851. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.433.765.6Ryzen 7 7840U3.230.351.0OpenBenchmarking.orgWatts, Fewer Is BetterPrimesieve 8.0CPU Power Consumption Monitor20406080100

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: FasterCore Ultra 7 155HRyzen 7 7840U714212835SE +/- 0.18, N = 15SE +/- 0.10, N = 323.5428.921. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxCore Ultra 7 155H1.633.557.0Ryzen 7 7840U2.230.147.3OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor1632486480

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.07, N = 3SE +/- 0.11, N = 318.6016.261. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.817.927.4Ryzen 7 7840U2.914.620.5OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 96000 - Buffer Size: 1024Core Ultra 7 155HRyzen 7 7840U0.51561.03121.54682.06242.578SE +/- 0.002371, N = 3SE +/- 0.010681, N = 32.2914492.2824661. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxCore Ultra 7 155H4.135.164.2Ryzen 7 7840U6.631.244.0OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor20406080100

Timed GDB GNU Debugger Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2Time To CompileCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.06, N = 3SE +/- 0.03, N = 376.7466.23
MinAvgMaxCore Ultra 7 155H1.830.864.3Ryzen 7 7840U3.128.951.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed GDB GNU Debugger Compilation 10.2CPU Power Consumption Monitor20406080100

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840U714212835SE +/- 1.04, N = 12SE +/- 0.27, N = 321.5129.331. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.532.264.0Ryzen 7 7840U3.629.751.3OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100

ASKAP

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

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - GriddingCore Ultra 7 155HRyzen 7 7840U6001200180024003000SE +/- 60.29, N = 3SE +/- 15.01, N = 21494.152806.451. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
MinAvgMaxCore Ultra 7 155H4.332.964.1Ryzen 7 7840U3.029.947.6OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMpix/sec, More Is BetterASKAP 1.0Test: tConvolve MPI - DegriddingCore Ultra 7 155HRyzen 7 7840U6001200180024003000SE +/- 16.69, N = 3SE +/- 35.04, N = 31246.982753.291. (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: SharpenCore Ultra 7 155HRyzen 7 7840U306090120150SE +/- 1.75, N = 4SE +/- 0.33, N = 3144105-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.962.1Ryzen 7 7840U2.831.950.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 2.88, N = 3SE +/- 1.12, N = 3968.92323.94
MinAvgMaxCore Ultra 7 155H4.130.964.1Ryzen 7 7840U3.225.051.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.0269, N = 3SE +/- 0.0390, N = 37.09299.2426

Z3 Theorem Prover

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

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 2.smt2Core Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.48, N = 3SE +/- 0.01, N = 377.0161.171. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
MinAvgMaxCore Ultra 7 155H1.521.725.8Ryzen 7 7840U2.915.317.4OpenBenchmarking.orgWatts, Fewer Is BetterZ3 Theorem Prover 4.12.1CPU Power Consumption Monitor816243240

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840U30060090012001500SE +/- 23.65, N = 3SE +/- 5.32, N = 31624.31315.0-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.530.156.2Ryzen 7 7840U2.922.137.6OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor1632486480

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 19 - Compression SpeedCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.15, N = 3SE +/- 0.09, N = 311.811.5-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: 2Core Ultra 7 155HRyzen 7 7840U1632486480SE +/- 0.68, N = 3SE +/- 0.11, N = 370.9466.561. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H4.132.664.2Ryzen 7 7840U3.728.351.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

OSPRay Studio

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

OpenBenchmarking.orgms, Fewer Is BetterOSPRay Studio 0.13Camera: 1 - Resolution: 1080p - Samples Per Pixel: 16 - Renderer: Path Tracer - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U15K30K45K60K75KSE +/- 825.98, N = 3SE +/- 72.88, N = 36800451474
MinAvgMaxCore Ultra 7 155H1.633.264.1Ryzen 7 7840U3.728.751.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

VVenC

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

OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.9Video Input: Bosphorus 1080p - Video Preset: FastCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.11, N = 5SE +/- 0.01, N = 311.1413.641. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects
MinAvgMaxCore Ultra 7 155H1.633.962.6Ryzen 7 7840U3.131.549.7OpenBenchmarking.orgWatts, Fewer Is BetterVVenC 1.9CPU Power Consumption Monitor20406080100

Timed PHP Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileCore Ultra 7 155HRyzen 7 7840U1632486480SE +/- 0.57, N = 3SE +/- 0.22, N = 369.9565.02
MinAvgMaxCore Ultra 7 155H1.732.564.1Ryzen 7 7840U3.326.951.1OpenBenchmarking.orgWatts, Fewer Is BetterTimed PHP Compilation 8.1.9CPU Power Consumption Monitor20406080100

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CartoonCore Ultra 7 155HRyzen 7 7840U1530456075SE +/- 0.30, N = 3SE +/- 0.02, N = 367.1367.44
MinAvgMaxCore Ultra 7 155H1.724.549.8Ryzen 7 7840U6.818.935.1OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1428425670

Perl Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: Pod2htmlCore Ultra 7 155HRyzen 7 7840U0.01790.03580.05370.07160.0895SE +/- 0.00030242, N = 3SE +/- 0.00023029, N = 30.079574290.07594256
MinAvgMaxCore Ultra 7 155H4.320.625.8Ryzen 7 7840U3.515.617.1OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor816243240

simdjson

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

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: DistinctUserIDCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.05, N = 3SE +/- 0.06, N = 36.418.381. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.420.025.8Ryzen 7 7840U2.817.118.4OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor816243240

Selenium

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

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840U70140210280350SE +/- 2.58, N = 5SE +/- 3.84, N = 32543071. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.712.025.6Ryzen 7 7840U2.812.822.7OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

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: PartialTweetsCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.04, N = 3SE +/- 0.03, N = 35.727.041. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.519.624.1Ryzen 7 7840U2.816.818.1OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor816243240

LuxCoreRender

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

OpenBenchmarking.orgM samples/sec, More Is BetterLuxCoreRender 2.6Scene: Rainbow Colors and Prism - Acceleration: CPUCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.05, N = 15SE +/- 0.06, N = 37.309.22MIN: 6.49 / MAX: 9.32MIN: 8.38 / MAX: 9.87
MinAvgMaxCore Ultra 7 155H1.533.564.2Ryzen 7 7840U3.330.251.0OpenBenchmarking.orgWatts, Fewer Is BetterLuxCoreRender 2.6CPU Power Consumption Monitor20406080100

simdjson

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

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: TopTweetCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.06, N = 3SE +/- 0.01, N = 36.418.321. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.820.825.9Ryzen 7 7840U2.617.218.5OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor816243240

FFmpeg

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

OpenBenchmarking.orgFPS, More Is BetterFFmpeg 6.1Encoder: libx265 - Scenario: LiveCore Ultra 7 155HRyzen 7 7840U306090120150SE +/- 0.47, N = 3SE +/- 0.03, N = 393.88134.441. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.628.656.8Ryzen 7 7840U2.928.847.0OpenBenchmarking.orgWatts, Fewer Is BetterFFmpeg 6.1CPU Power Consumption Monitor1632486480

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 4K - Video Preset: Ultra FastCore Ultra 7 155HRyzen 7 7840U816243240SE +/- 0.37, N = 15SE +/- 0.19, N = 428.5136.941. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.532.762.6Ryzen 7 7840U2.730.249.5OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

Scikit-Learn

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

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

RawTherapee

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore Ultra 7 155HRyzen 7 7840U1530456075SE +/- 0.01, N = 3SE +/- 0.05, N = 367.6756.661. RawTherapee, version 5.9, command line.
MinAvgMaxCore Ultra 7 155H4.031.244.7Ryzen 7 7840U3.228.538.8OpenBenchmarking.orgWatts, Fewer Is BetterRawTherapeeCPU Power Consumption Monitor1224364860

Zstd Compression

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

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840U400800120016002000SE +/- 43.01, N = 3SE +/- 62.03, N = 31931.81831.7-llzma1. (CC) gcc options: -O3 -pthread -lz
MinAvgMaxCore Ultra 7 155H1.633.363.2Ryzen 7 7840U3.325.342.3OpenBenchmarking.orgWatts, Fewer Is BetterZstd Compression 1.5.4CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.5.4Compression Level: 12 - Compression SpeedCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 2.36, N = 3SE +/- 0.67, N = 3164.397.3-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: CPUCore Ultra 7 155HRyzen 7 7840U4K8K12K16K20KSE +/- 36.73, N = 3SE +/- 9.87, N = 31646511871
MinAvgMaxCore Ultra 7 155H1.833.764.1Ryzen 7 7840U2.928.651.0OpenBenchmarking.orgWatts, Fewer Is BetterOSPRay Studio 0.13CPU Power Consumption Monitor20406080100

ASKAP

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

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - GriddingCore Ultra 7 155HRyzen 7 7840U5001000150020002500SE +/- 3.94, N = 3SE +/- 4.65, N = 32425.201269.301. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp

OpenBenchmarking.orgMillion Grid Points Per Second, More Is BetterASKAP 1.0Test: tConvolve MT - DegriddingCore Ultra 7 155HRyzen 7 7840U6001200180024003000SE +/- 31.87, N = 3SE +/- 23.99, N = 32758.571886.451. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
MinAvgMaxCore Ultra 7 155H4.530.964.0Ryzen 7 7840U2.929.335.9OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor20406080100

simdjson

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

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 2.0Throughput Test: LargeRandomCore Ultra 7 155HRyzen 7 7840U0.35330.70661.05991.41321.7665SE +/- 0.01, N = 3SE +/- 0.00, N = 31.561.571. (CXX) g++ options: -O3
MinAvgMaxCore Ultra 7 155H1.623.228.5Ryzen 7 7840U2.817.218.4OpenBenchmarking.orgWatts, Fewer Is Bettersimdjson 2.0CPU Power Consumption Monitor918273645

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedCore Ultra 7 155HRyzen 7 7840U50100150200250SE +/- 1.67, N = 3SE +/- 0.33, N = 3223202-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.663.2Ryzen 7 7840U2.431.948.1OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianCore Ultra 7 155HRyzen 7 7840U60120180240300SE +/- 2.19, N = 3SE +/- 1.76, N = 3229266-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.552.6Ryzen 7 7840U2.931.943.7OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor1530456075

RocksDB

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

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write RandomCore Ultra 7 155HRyzen 7 7840U300K600K900K1200K1500KSE +/- 12698.08, N = 3SE +/- 1290.34, N = 3114752415627781. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
MinAvgMaxCore Ultra 7 155H4.834.664.1Ryzen 7 7840U3.632.151.1OpenBenchmarking.orgWatts, Fewer Is BetterRocksDB 8.0CPU Power Consumption Monitor20406080100

GraphicsMagick

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

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlCore Ultra 7 155HRyzen 7 7840U100200300400500SE +/- 4.93, N = 3SE +/- 0.88, N = 3406457-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.162.2Ryzen 7 7840U3.632.149.3OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 10.17, N = 3SE +/- 11.57, N = 3808853-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.635.262.9Ryzen 7 7840U3.132.148.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 6.24, N = 3SE +/- 2.89, N = 31032561-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.823.326.3Ryzen 7 7840U2.815.516.8OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor816243240

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 2.89, N = 3SE +/- 2.33, N = 3809892-lSM -lICE -lbz21. (CC) gcc options: -fopenmp -O2 -ljbig -lwebp -lwebpmux -ltiff -ljpeg -lXext -lX11 -llzma -lxml2 -lz -lzstd -lm -lpthread
MinAvgMaxCore Ultra 7 155H1.630.740.5Ryzen 7 7840U3.625.828.0OpenBenchmarking.orgWatts, Fewer Is BetterGraphicsMagick 1.3.38CPU Power Consumption Monitor1122334455

Node.js V8 Web Tooling Benchmark

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

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.09, N = 3SE +/- 0.01, N = 316.7417.66
MinAvgMaxCore Ultra 7 155H4.125.234.4Ryzen 7 7840U3.219.625.6OpenBenchmarking.orgWatts, Fewer Is BetterNode.js V8 Web Tooling BenchmarkCPU Power Consumption Monitor1020304050

QuantLib

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

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Multi-ThreadedCore Ultra 7 155HRyzen 7 7840U7K14K21K28K35KSE +/- 221.75, N = 3SE +/- 19.89, N = 329903.131965.31. (CXX) g++ options: -O3 -march=native -fPIE -pie
MinAvgMaxCore Ultra 7 155H1.735.664.2Ryzen 7 7840U3.531.047.9OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor20406080100

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: PistolCore Ultra 7 155HRyzen 7 7840U1224364860SE +/- 0.35, N = 3SE +/- 0.53, N = 355.4354.301. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.620.325.8Ryzen 7 7840U6.716.517.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

Timed Wasmer Compilation

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

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileCore Ultra 7 155HRyzen 7 7840U1224364860SE +/- 0.76, N = 3SE +/- 0.08, N = 355.1152.321. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs
MinAvgMaxCore Ultra 7 155H1.836.464.3Ryzen 7 7840U3.530.351.0OpenBenchmarking.orgWatts, Fewer Is BetterTimed Wasmer Compilation 2.3CPU Power Consumption Monitor20406080100

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 480000 - Buffer Size: 1024Core Ultra 7 155HRyzen 7 7840U0.71171.42342.13512.84683.5585SE +/- 0.016507, N = 3SE +/- 0.012252, N = 33.1633163.0903161. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxCore Ultra 7 155H4.834.963.6Ryzen 7 7840U6.631.449.2OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor20406080100

Perl Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPerl BenchmarksTest: InterpreterCore Ultra 7 155HRyzen 7 7840U0.00040.00080.00120.00160.002SE +/- 0.00002194, N = 3SE +/- 0.00000156, N = 30.001752590.00182758
MinAvgMaxCore Ultra 7 155H3.76.68.1Ryzen 7 7840U2.413.614.6OpenBenchmarking.orgWatts, Fewer Is BetterPerl BenchmarksCPU Power Consumption Monitor510152025

Stargate Digital Audio Workstation

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

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 22.11.5Sample Rate: 44100 - Buffer Size: 1024Core Ultra 7 155HRyzen 7 7840U0.74681.49362.24042.98723.734SE +/- 0.027638, N = 3SE +/- 0.032515, N = 33.3191163.1235521. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
MinAvgMaxCore Ultra 7 155H4.436.264.8Ryzen 7 7840U6.630.751.0OpenBenchmarking.orgWatts, Fewer Is BetterStargate Digital Audio Workstation 22.11.5CPU Power Consumption Monitor20406080100

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840U3K6K9K12K15KSE +/- 3.38, N = 3SE +/- 17.52, N = 39682.016182.91. (CC) gcc options: -O3
MinAvgMaxCore Ultra 7 155H1.620.826.5Ryzen 7 7840U2.916.621.8OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor816243240

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression SpeedCore Ultra 7 155HRyzen 7 7840U1530456075SE +/- 0.84, N = 3SE +/- 0.69, N = 366.9868.021. (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 1,000Core Ultra 7 155HRyzen 7 7840U1224364860SE +/- 0.14, N = 3SE +/- 0.02, N = 343.3353.751. (CC) gcc options: -O2 -lz
MinAvgMaxCore Ultra 7 155H4.523.130.2Ryzen 7 7840U3.415.717.5OpenBenchmarking.orgWatts, Fewer Is BetterSQLite Speedtest 3.30CPU Power Consumption Monitor918273645

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U30060090012001500SE +/- 8.92, N = 3SE +/- 0.93, N = 31194.75410.99
MinAvgMaxCore Ultra 7 155H4.333.764.1Ryzen 7 7840U3.428.751.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.0476, N = 3SE +/- 0.0267, N = 35.76927.2837

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: Visual Quality Optimized - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840U1020304050SE +/- 0.69, N = 15SE +/- 0.25, N = 444.4344.311. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxCore Ultra 7 155H1.532.764.2Ryzen 7 7840U3.327.950.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100

ASKAP

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

OpenBenchmarking.orgIterations Per Second, More Is BetterASKAP 1.0Test: Hogbom Clean OpenMPCore Ultra 7 155HRyzen 7 7840U90180270360450SE +/- 5.52, N = 3SE +/- 4.06, N = 14393.85239.651. (CXX) g++ options: -O3 -fstrict-aliasing -fopenmp
MinAvgMaxCore Ultra 7 155H4.624.763.8Ryzen 7 7840U2.620.043.0OpenBenchmarking.orgWatts, Fewer Is BetterASKAP 1.0CPU Power Consumption Monitor20406080100

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-StreamCore Ultra 7 155HRyzen 7 7840U816243240SE +/- 0.06, N = 3SE +/- 0.01, N = 334.1210.20
MinAvgMaxCore Ultra 7 155H4.134.064.1Ryzen 7 7840U2.628.551.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U60120180240300SE +/- 0.35, N = 3SE +/- 0.34, N = 3204.79293.52

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U30060090012001500SE +/- 4.45, N = 3SE +/- 0.22, N = 31219.60411.60
MinAvgMaxCore Ultra 7 155H4.534.064.0Ryzen 7 7840U2.328.551.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.0313, N = 3SE +/- 0.0038, N = 35.59067.2651

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U1632486480SE +/- 0.50, N = 3SE +/- 0.02, N = 371.8922.41
MinAvgMaxCore Ultra 7 155H4.034.264.0Ryzen 7 7840U2.328.851.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U306090120150SE +/- 0.70, N = 3SE +/- 0.15, N = 397.20133.68

Selenium

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

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840U11K22K33K44K55KSE +/- 288.12, N = 3SE +/- 314.25, N = 349741502021. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.717.131.4Ryzen 7 7840U2.313.720.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor918273645

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Wavelet BlurCore Ultra 7 155HRyzen 7 7840U1020304050SE +/- 0.09, N = 3SE +/- 0.06, N = 343.9343.84
MinAvgMaxCore Ultra 7 155H1.722.235.3Ryzen 7 7840U6.717.424.6OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1020304050

PyHPC Benchmarks

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

OpenBenchmarking.orgSeconds, Fewer Is BetterPyHPC Benchmarks 3.0Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of StateCore Ultra 7 155HRyzen 7 7840U0.35260.70521.05781.41041.763SE +/- 0.001, N = 3SE +/- 0.003, N = 31.5670.989
MinAvgMaxCore Ultra 7 155H4.022.726.9Ryzen 7 7840U6.419.922.9OpenBenchmarking.orgWatts, Fewer Is BetterPyHPC Benchmarks 3.0CPU Power Consumption Monitor816243240

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 4.85, N = 3SE +/- 0.16, N = 3990.20230.85
MinAvgMaxCore Ultra 7 155H4.234.964.1Ryzen 7 7840U3.029.550.9OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.0147, N = 3SE +/- 0.0105, N = 36.952912.9901

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: ThoroughCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.0723, N = 3SE +/- 0.0385, N = 37.30207.12841. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxCore Ultra 7 155H4.835.664.1Ryzen 7 7840U3.330.751.3OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor20406080100

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.14, N = 15SE +/- 0.07, N = 413.7911.68
MinAvgMaxCore Ultra 7 155H4.434.065.5Ryzen 7 7840U6.728.651.2OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 1.98, N = 15SE +/- 1.69, N = 1592.8787.921. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.632.964.1Ryzen 7 7840U2.725.650.0OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100

Cryptsetup

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

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b DecryptionCore Ultra 7 155HRyzen 7 7840U120240360480600SE +/- 14.76, N = 3SE +/- 1.01, N = 3529.3553.3
MinAvgMaxCore Ultra 7 155H3.919.529.9Ryzen 7 7840U3.418.532.4OpenBenchmarking.orgWatts, Fewer Is BetterCryptsetupCPU Power Consumption Monitor1020304050

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 512b EncryptionCore Ultra 7 155HRyzen 7 7840U120240360480600SE +/- 12.48, N = 3SE +/- 1.02, N = 3531.3548.7

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b DecryptionCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 20.29, N = 3SE +/- 1.62, N = 3812.6861.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 512b EncryptionCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 2.02, N = 3SE +/- 2.25, N = 3763.7869.4

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b DecryptionCore Ultra 7 155HRyzen 7 7840U10002000300040005000SE +/- 58.06, N = 3SE +/- 3.52, N = 34867.63369.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 512b EncryptionCore Ultra 7 155HRyzen 7 7840U11002200330044005500SE +/- 136.88, N = 3SE +/- 1.93, N = 34982.83374.0

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b DecryptionCore Ultra 7 155HRyzen 7 7840U120240360480600SE +/- 12.70, N = 3SE +/- 0.87, N = 3533.2553.3

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupTwofish-XTS 256b EncryptionCore Ultra 7 155HRyzen 7 7840U120240360480600SE +/- 13.59, N = 3SE +/- 2.90, N = 3528.0546.1

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b DecryptionCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 16.67, N = 3SE +/- 2.73, N = 3814.7859.2

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupSerpent-XTS 256b EncryptionCore Ultra 7 155HRyzen 7 7840U2004006008001000SE +/- 12.60, N = 3SE +/- 6.26, N = 3780.7863.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b DecryptionCore Ultra 7 155HRyzen 7 7840U11002200330044005500SE +/- 70.67, N = 3SE +/- 5.84, N = 35297.73659.9

OpenBenchmarking.orgMiB/s, More Is BetterCryptsetupAES-XTS 256b EncryptionCore Ultra 7 155HRyzen 7 7840U12002400360048006000SE +/- 148.02, N = 3SE +/- 12.28, N = 35462.13667.6

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-whirlpoolCore Ultra 7 155HRyzen 7 7840U200K400K600K800K1000KSE +/- 20453.44, N = 3SE +/- 1834.16, N = 3939335895206

OpenBenchmarking.orgIterations Per Second, More Is BetterCryptsetupPBKDF2-sha512Core Ultra 7 155HRyzen 7 7840U600K1200K1800K2400K3000KSE +/- 8245.18, N = 3SE +/- 8161.04, N = 321868732611697

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 8 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840U70M140M210M280M350MSE +/- 3363877.23, N = 5SE +/- 711781.80, N = 33277600003399700001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H3.835.764.1Ryzen 7 7840U3.730.946.4OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100

Selenium

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

OpenBenchmarking.orgGeometric Mean, More Is BetterSeleniumBenchmark: Octane - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840U20K40K60K80K100KSE +/- 508.08, N = 3SE +/- 121.64, N = 384689873571. chrome 120.0.6099.109
MinAvgMaxCore Ultra 7 155H1.717.231.3Ryzen 7 7840U2.914.122.4OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor918273645

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U306090120150SE +/- 1.03, N = 3SE +/- 0.05, N = 3127.0046.30
MinAvgMaxCore Ultra 7 155H4.035.064.0Ryzen 7 7840U3.029.751.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U1428425670SE +/- 0.43, N = 3SE +/- 0.07, N = 355.0164.75

Git

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsCore Ultra 7 155HRyzen 7 7840U918273645SE +/- 0.09, N = 3SE +/- 0.10, N = 341.0837.811. git version 2.40.1
MinAvgMaxCore Ultra 7 155H1.621.026.5Ryzen 7 7840U3.315.417.8OpenBenchmarking.orgWatts, Fewer Is BetterGitCPU Power Consumption Monitor816243240

7-Zip Compression

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

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingCore Ultra 7 155HRyzen 7 7840U15K30K45K60K75KSE +/- 1102.62, N = 4SE +/- 378.74, N = 351438688281. (CXX) g++ options: -lpthread -ldl -O2 -fPIC
MinAvgMaxCore Ultra 7 155H1.535.964.2Ryzen 7 7840U3.630.051.2OpenBenchmarking.orgWatts, Fewer Is Better7-Zip Compression 22.01CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingCore Ultra 7 155HRyzen 7 7840U20K40K60K80K100KSE +/- 1003.66, N = 4SE +/- 130.26, N = 381100774841. (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 EnhanceCore Ultra 7 155HRyzen 7 7840U918273645SE +/- 0.18, N = 3SE +/- 0.01, N = 338.8739.45
MinAvgMaxCore Ultra 7 155H1.520.526.2Ryzen 7 7840U6.916.821.7OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor816243240

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore Ultra 7 155HRyzen 7 7840U1020304050SE +/- 0.12, N = 3SE +/- 0.05, N = 343.2734.34
MinAvgMaxCore Ultra 7 155H1.528.754.9Ryzen 7 7840U6.919.835.5OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1530456075

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: SP.BCore Ultra 7 155HRyzen 7 7840U3K6K9K12K15KSE +/- 152.53, N = 3SE +/- 7.63, N = 312780.787551.201. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
MinAvgMaxCore Ultra 7 155H1.836.364.1Ryzen 7 7840U3.327.330.2OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor20406080100

Neural Magic DeepSparse

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

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.81, N = 3SE +/- 0.01, N = 392.6932.00
MinAvgMaxCore Ultra 7 155H4.335.464.0Ryzen 7 7840U3.630.351.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.69, N = 3SE +/- 0.03, N = 375.3793.68

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 0.60, N = 3SE +/- 0.28, N = 3188.6168.70
MinAvgMaxCore Ultra 7 155H4.335.564.1Ryzen 7 7840U3.330.251.1OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U1020304050SE +/- 0.08, N = 3SE +/- 0.18, N = 336.9643.63

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 0.41, N = 3SE +/- 0.16, N = 3185.7767.46
MinAvgMaxCore Ultra 7 155H4.335.364.1Ryzen 7 7840U3.330.251.0OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U1020304050SE +/- 0.08, N = 3SE +/- 0.11, N = 337.5644.44

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.98, N = 3SE +/- 0.08, N = 392.3032.07

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.76, N = 3SE +/- 0.23, N = 375.7193.46

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.1010, N = 3SE +/- 0.0053, N = 311.99274.0891
MinAvgMaxCore Ultra 7 155H4.435.464.1Ryzen 7 7840U3.230.550.5OpenBenchmarking.orgWatts, Fewer Is BetterNeural Magic DeepSparse 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-StreamCore Ultra 7 155HRyzen 7 7840U160320480640800SE +/- 5.01, N = 3SE +/- 0.80, N = 3582.50730.01

Selenium

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

OpenBenchmarking.orgRuns Per Minute, More Is BetterSeleniumBenchmark: Speedometer - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840U80160240320400SE +/- 4.41, N = 3SE +/- 3.18, N = 33313541. chrome 120.0.6099.109
MinAvgMaxCore Ultra 7 155H1.812.425.6Ryzen 7 7840U3.213.023.2OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: VMAF Optimized - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840U1326395265SE +/- 0.78, N = 15SE +/- 0.11, N = 459.4450.711. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxCore Ultra 7 155H1.534.563.8Ryzen 7 7840U3.028.050.2OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100

OCRMyPDF

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOCRMyPDF 14.0.1+dfsg1Processing 60 Page PDF DocumentCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.09, N = 15SE +/- 0.05, N = 510.8511.45
MinAvgMaxCore Ultra 7 155H1.434.264.3OpenBenchmarking.orgWatts, Fewer Is BetterOCRMyPDF 14.0.1+dfsg1CPU Power Consumption Monitor20406080100

SVT-VP9

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

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-VP9 0.3Tuning: PSNR/SSIM Optimized - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840U1326395265SE +/- 0.66, N = 15SE +/- 0.18, N = 459.0453.351. (CC) gcc options: -O3 -fcommon -fPIE -fPIC -fvisibility=hidden -pie -rdynamic -lpthread -lrt -lm
MinAvgMaxCore Ultra 7 155H1.533.463.9Ryzen 7 7840U3.027.649.9OpenBenchmarking.orgWatts, Fewer Is BetterSVT-VP9 0.3CPU Power Consumption Monitor20406080100

Z3 Theorem Prover

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

OpenBenchmarking.orgSeconds, Fewer Is BetterZ3 Theorem Prover 4.12.1SMT File: 1.smt2Core Ultra 7 155HRyzen 7 7840U612182430SE +/- 0.22, N = 6SE +/- 0.01, N = 322.7526.901. (CXX) g++ options: -lpthread -std=c++17 -fvisibility=hidden -mfpmath=sse -msse -msse2 -O3 -fPIC
MinAvgMaxCore Ultra 7 155H1.520.929.6Ryzen 7 7840U2.513.815.9OpenBenchmarking.orgWatts, Fewer Is BetterZ3 Theorem Prover 4.12.1CPU Power Consumption Monitor918273645

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.16, N = 15SE +/- 0.04, N = 522.520.71. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.67.720.5Ryzen 7 7840U3.28.920.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor612182430

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 0.33, N = 3SE +/- 0.67, N = 3183175
MinAvgMaxCore Ultra 7 155H1.619.026.3Ryzen 7 7840U1.914.716.9OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor816243240

x265

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

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840U1530456075SE +/- 0.33, N = 15SE +/- 0.18, N = 555.1566.901. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
MinAvgMaxCore Ultra 7 155H1.534.261.5Ryzen 7 7840U2.628.249.7OpenBenchmarking.orgWatts, Fewer Is Betterx265 3.4CPU Power Consumption Monitor20406080100

PyTorch

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50Core Ultra 7 155HRyzen 7 7840U1122334455SE +/- 0.19, N = 3SE +/- 0.46, N = 327.7048.72MIN: 8.98 / MAX: 33.15MIN: 41.49 / MAX: 51.3
MinAvgMaxCore Ultra 7 155H4.534.762.8Ryzen 7 7840U3.429.045.9OpenBenchmarking.orgWatts, Fewer Is BetterPyTorch 2.1CPU Power Consumption Monitor20406080100

Selenium

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

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840U5001000150020002500SE +/- 4.84, N = 3SE +/- 2.00, N = 3255723811. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.912.442.3Ryzen 7 7840U2.213.135.8OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor1224364860

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: ARES-6 - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.12, N = 3SE +/- 0.02, N = 39.517.141. chrome 120.0.6099.109
MinAvgMaxCore Ultra 7 155H1.715.127.4Ryzen 7 7840U2.512.720.3OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesCore Ultra 7 155HRyzen 7 7840U1122334455SE +/- 0.26, N = 3SE +/- 0.07, N = 347.245.5
MinAvgMaxCore Ultra 7 155H1.520.326.5Ryzen 7 7840U3.214.916.8OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor816243240

PHPBench

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

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore Ultra 7 155HRyzen 7 7840U300K600K900K1200K1500KSE +/- 15483.82, N = 4SE +/- 9948.35, N = 712582731075014
MinAvgMaxCore Ultra 7 155H1.418.125.3Ryzen 7 7840U2.613.316.2OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1CPU Power Consumption Monitor816243240

Selenium

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

OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840U6001200180024003000SE +/- 19.22, N = 3SE +/- 3.84, N = 3272324801. chrome 120.0.6099.109
MinAvgMaxCore Ultra 7 155H1.811.829.4Ryzen 7 7840U3.413.621.6OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor918273645

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.09, N = 9SE +/- 0.06, N = 410.8613.701. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.534.762.9Ryzen 7 7840U3.228.650.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Very FastCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.68, N = 15SE +/- 0.35, N = 663.5883.44
MinAvgMaxCore Ultra 7 155H1.633.663.1Ryzen 7 7840U3.027.650.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100

LZ4 Compression

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

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression SpeedCore Ultra 7 155HRyzen 7 7840U4K8K12K16K20KSE +/- 18.72, N = 3SE +/- 97.81, N = 310102.016757.21. (CC) gcc options: -O3
MinAvgMaxCore Ultra 7 155H1.718.722.8Ryzen 7 7840U2.717.421.8OpenBenchmarking.orgWatts, Fewer Is BetterLZ4 Compression 1.9.3CPU Power Consumption Monitor612182430

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression SpeedCore Ultra 7 155HRyzen 7 7840U3K6K9K12K15KSE +/- 9.57, N = 3SE +/- 62.96, N = 39126.5414693.921. (CC) gcc options: -O3

Aircrack-ng

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

OpenBenchmarking.orgk/s, More Is BetterAircrack-ng 1.7Core Ultra 7 155HRyzen 7 7840U9K18K27K36K45KSE +/- 104.27, N = 3SE +/- 211.65, N = 329616.4939922.901. (CXX) g++ options: -std=gnu++17 -O3 -fvisibility=hidden -fcommon -rdynamic -lnl-3 -lnl-genl-3 -lpthread -lz -lssl -lcrypto -lhwloc -ldl -lm -pthread
MinAvgMaxCore Ultra 7 155H4.438.864.1Ryzen 7 7840U2.231.051.0OpenBenchmarking.orgWatts, Fewer Is BetterAircrack-ng 1.7CPU Power Consumption Monitor20406080100

Liquid-DSP

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

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 16 - Buffer Length: 256 - Filter Length: 512Core Ultra 7 155HRyzen 7 7840U30M60M90M120M150MSE +/- 1542533.99, N = 3SE +/- 623065.90, N = 31105333331600333331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.236.564.1Ryzen 7 7840U3.231.350.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.09, N = 3SE +/- 0.07, N = 387.171.0
MinAvgMaxCore Ultra 7 155H1.520.726.5Ryzen 7 7840U2.715.017.1OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor816243240

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: 512Core Ultra 7 155HRyzen 7 7840U30M60M90M120M150MSE +/- 550345.75, N = 3SE +/- 224524.19, N = 3816613331207933331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.336.464.0Ryzen 7 7840U3.431.250.9OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 512Core Ultra 7 155HRyzen 7 7840U14M28M42M56M70MSE +/- 156292.82, N = 3SE +/- 452215.41, N = 355708667676256671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H3.835.655.5Ryzen 7 7840U2.228.634.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1530456075

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840U12M24M36M48M60MSE +/- 55480.73, N = 3SE +/- 31476.62, N = 356530333462736671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.218.421.9Ryzen 7 7840U3.112.313.8OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor612182430

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840U20M40M60M80M100MSE +/- 737119.02, N = 3SE +/- 86227.09, N = 3111016667920456671. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H3.929.535.8Ryzen 7 7840U2.716.619.0OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1020304050

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 2 - Buffer Length: 256 - Filter Length: 512Core Ultra 7 155HRyzen 7 7840U7M14M21M28M35MSE +/- 35950.58, N = 3SE +/- 419081.14, N = 330305667338220001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.129.636.5Ryzen 7 7840U3.018.621.7OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1020304050

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 4 - Buffer Length: 256 - Filter Length: 32Core Ultra 7 155HRyzen 7 7840U40M80M120M160M200MSE +/- 1729723.81, N = 3SE +/- 394010.72, N = 32012066671811533331. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.436.352.4Ryzen 7 7840U2.924.728.5OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor1530456075

OpenBenchmarking.orgsamples/s, More Is BetterLiquid-DSP 1.6Threads: 1 - Buffer Length: 256 - Filter Length: 512Core Ultra 7 155HRyzen 7 7840U4M8M12M16M20MSE +/- 127987.41, N = 3SE +/- 93724.77, N = 316084667172730001. (CC) gcc options: -O3 -pthread -lm -lc -lliquid
MinAvgMaxCore Ultra 7 155H4.018.827.4Ryzen 7 7840U3.613.515.3OpenBenchmarking.orgWatts, Fewer Is BetterLiquid-DSP 1.6CPU Power Consumption Monitor816243240

NAS Parallel Benchmarks

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

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.CCore Ultra 7 155HRyzen 7 7840U30060090012001500SE +/- 11.09, N = 15SE +/- 10.61, N = 61021.421286.441. (F9X) gfortran options: -O3 -march=native -lmpi_usempif08 -lmpi_mpifh -lmpi -lopen-rte -lopen-pal -lhwloc -levent_core -levent_pthreads -lm -lz 2. Open MPI 4.1.5
MinAvgMaxCore Ultra 7 155H1.534.264.0Ryzen 7 7840U2.926.250.9OpenBenchmarking.orgWatts, Fewer Is BetterNAS Parallel Benchmarks 3.4CPU Power Consumption Monitor20406080100

eSpeak-NG Speech Engine

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

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 1.51Text-To-Speech SynthesisCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.10, N = 4SE +/- 0.14, N = 421.3722.431. (CXX) g++ options: -O2
MinAvgMaxCore Ultra 7 155H1.417.423.1Ryzen 7 7840U2.914.217.5OpenBenchmarking.orgWatts, Fewer Is BettereSpeak-NG Speech Engine 1.51CPU Power Consumption Monitor816243240

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Super FastCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.69, N = 15SE +/- 0.64, N = 669.7490.11
MinAvgMaxCore Ultra 7 155H1.634.363.4Ryzen 7 7840U3.227.450.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4KCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 6.26, N = 12SE +/- 0.54, N = 685.5991.521. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.630.063.8Ryzen 7 7840U3.325.450.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 1.34, N = 15SE +/- 0.42, N = 675.7095.341. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.533.462.5Ryzen 7 7840U2.926.150.4OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Very FastCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.57, N = 15SE +/- 0.44, N = 773.9597.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.234.161.8Ryzen 7 7840U3.026.950.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: FastCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 0.44, N = 3SE +/- 0.51, N = 3155.76161.021. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxCore Ultra 7 155H4.737.364.1Ryzen 7 7840U3.229.751.2OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor20406080100

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: AntialiasCore Ultra 7 155HRyzen 7 7840U612182430SE +/- 0.07, N = 3SE +/- 0.03, N = 326.5727.29
MinAvgMaxCore Ultra 7 155H1.522.936.8Ryzen 7 7840U6.617.826.6OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1020304050

Inkscape

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

OpenBenchmarking.orgSeconds, Fewer Is BetterInkscapeOperation: SVG Files To PNGCore Ultra 7 155HRyzen 7 7840U714212835SE +/- 0.25, N = 3SE +/- 0.10, N = 328.9324.591. Inkscape 1.2.2 (b0a8486541, 2022-12-01)
MinAvgMaxCore Ultra 7 155H1.714.919.7Ryzen 7 7840U6.815.417.6OpenBenchmarking.orgWatts, Fewer Is BetterInkscapeCPU Power Consumption Monitor612182430

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX CaseCore Ultra 7 155HRyzen 7 7840U612182430SE +/- 0.25, N = 3SE +/- 0.06, N = 326.0225.301. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.419.726.0Ryzen 7 7840U6.616.218.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

Java SciMark

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

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: CompositeCore Ultra 7 155HRyzen 7 7840U10002000300040005000SE +/- 18.44, N = 3SE +/- 55.57, N = 33708.794844.32
MinAvgMaxCore Ultra 7 155H1.618.434.1Ryzen 7 7840U3.215.623.3OpenBenchmarking.orgWatts, Fewer Is BetterJava SciMark 2.2CPU Power Consumption Monitor1020304050

libjpeg-turbo tjbench

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

OpenBenchmarking.orgMegapixels/sec, More Is Betterlibjpeg-turbo tjbench 2.1.0Test: Decompression ThroughputCore Ultra 7 155HRyzen 7 7840U60120180240300SE +/- 1.84, N = 3SE +/- 0.68, N = 3246.93277.111. (CC) gcc options: -O3 -rdynamic
MinAvgMaxCore Ultra 7 155H4.119.124.8Ryzen 7 7840U2.814.816.9OpenBenchmarking.orgWatts, Fewer Is Betterlibjpeg-turbo tjbench 2.1.0CPU Power Consumption Monitor816243240

uvg266

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

OpenBenchmarking.orgFrames Per Second, More Is Betteruvg266 0.4.1Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore Ultra 7 155HRyzen 7 7840U20406080100SE +/- 0.95, N = 15SE +/- 0.68, N = 785.38108.96
MinAvgMaxCore Ultra 7 155H1.734.163.5Ryzen 7 7840U3.226.650.9OpenBenchmarking.orgWatts, Fewer Is Betteruvg266 0.4.1CPU Power Consumption Monitor20406080100

FLAC Audio Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.05, N = 5SE +/- 0.02, N = 514.6813.431. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm
MinAvgMaxCore Ultra 7 155H1.416.823.6Ryzen 7 7840U2.613.817.4OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.4CPU Power Consumption Monitor816243240

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore Ultra 7 155HRyzen 7 7840U612182430SE +/- 0.08, N = 3SE +/- 0.00, N = 321.8923.33
MinAvgMaxCore Ultra 7 155H1.519.726.3Ryzen 7 7840U6.716.622.2OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor816243240

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: resizeCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.08, N = 3SE +/- 0.13, N = 619.0213.01
MinAvgMaxCore Ultra 7 155H4.629.751.6OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor1530456075

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Super FastCore Ultra 7 155HRyzen 7 7840U306090120150SE +/- 0.88, N = 15SE +/- 0.64, N = 893.63127.061. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.633.561.9Ryzen 7 7840U3.226.150.1OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

PyPerformance

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.07, N = 3SE +/- 0.03, N = 312.011.8
MinAvgMaxCore Ultra 7 155H1.418.924.8Ryzen 7 7840U1.914.016.3OpenBenchmarking.orgWatts, Fewer Is BetterPyPerformance 1.0.0CPU Power Consumption Monitor816243240

WebP2 Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5Core Ultra 7 155HRyzen 7 7840U0.88881.77762.66643.55524.444SE +/- 0.04, N = 15SE +/- 0.02, N = 63.953.781. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxCore Ultra 7 155H1.634.264.2Ryzen 7 7840U2.927.151.0OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor20406080100

PyBench

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

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore Ultra 7 155HRyzen 7 7840U130260390520650SE +/- 5.62, N = 6SE +/- 2.47, N = 4552590
MinAvgMaxCore Ultra 7 155H1.517.328.2Ryzen 7 7840U2.513.017.2OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16CPU Power Consumption Monitor918273645

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Tile GlassCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 321.7821.84
MinAvgMaxCore Ultra 7 155H1.622.230.3Ryzen 7 7840U6.817.724.7OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor918273645

Helsing

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

OpenBenchmarking.orgSeconds, Fewer Is BetterHelsing 1.0-betaDigit Range: 12 digitCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.061, N = 15SE +/- 0.036, N = 76.0175.1521. (CC) gcc options: -O2 -pthread
MinAvgMaxCore Ultra 7 155H3.835.364.4Ryzen 7 7840U3.226.451.0OpenBenchmarking.orgWatts, Fewer Is BetterHelsing 1.0-betaCPU Power Consumption Monitor20406080100

R Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterR BenchmarkCore Ultra 7 155HRyzen 7 7840U0.03320.06640.09960.13280.166SE +/- 0.0006, N = 3SE +/- 0.0006, N = 30.14740.1368
MinAvgMaxCore Ultra 7 155H1.423.049.3Ryzen 7 7840U6.817.943.4OpenBenchmarking.orgWatts, Fewer Is BetterR BenchmarkCPU Power Consumption Monitor1428425670

QuantLib

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

OpenBenchmarking.orgMFLOPS, More Is BetterQuantLib 1.32Configuration: Single-ThreadedCore Ultra 7 155HRyzen 7 7840U9001800270036004500SE +/- 42.67, N = 3SE +/- 9.89, N = 34224.53967.41. (CXX) g++ options: -O3 -march=native -fPIE -pie
MinAvgMaxCore Ultra 7 155H1.616.326.2Ryzen 7 7840U3.014.217.0OpenBenchmarking.orgWatts, Fewer Is BetterQuantLib 1.32CPU Power Consumption Monitor816243240

RNNoise

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

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Core Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.04, N = 4SE +/- 0.05, N = 414.9315.141. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
MinAvgMaxCore Ultra 7 155H4.516.523.9Ryzen 7 7840U6.714.516.9OpenBenchmarking.orgWatts, Fewer Is BetterRNNoise 2020-06-28CPU Power Consumption Monitor816243240

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Leonardo Phone Case SlimCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.15, N = 3SE +/- 0.04, N = 417.3416.651. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.618.626.5Ryzen 7 7840U6.715.518.0OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore Ultra 7 155HRyzen 7 7840U60120180240300SE +/- 1.41, N = 4SE +/- 0.52, N = 3275.4286.31. firefox 120.0.1
MinAvgMaxCore Ultra 7 155H1.611.724.6Ryzen 7 7840U2.910.920.9OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

Unpacking Firefox

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

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xzCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.05, N = 4SE +/- 0.03, N = 414.2214.07
MinAvgMaxCore Ultra 7 155H1.821.835.3Ryzen 7 7840U3.015.725.1OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking Firefox 84.0CPU Power Consumption Monitor1020304050

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6, LosslessCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.095, N = 6SE +/- 0.044, N = 59.66910.2961. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H4.234.164.3Ryzen 7 7840U3.025.751.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: auto-levelsCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.01, N = 4SE +/- 0.04, N = 414.0012.97
MinAvgMaxCore Ultra 7 155H4.620.629.3OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor918273645

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840U60120180240300SE +/- 0.44, N = 5SE +/- 0.60, N = 4217.12252.101. chrome 120.0.6099.109
MinAvgMaxCore Ultra 7 155H1.810.326.6Ryzen 7 7840U2.99.716.2OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840U100200300400500SE +/- 1.04, N = 3SE +/- 2.58, N = 3458.7397.11. chrome 120.0.6099.109
MinAvgMaxCore Ultra 7 155H1.610.123.7Ryzen 7 7840U2.710.221.0OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor816243240

GIMP

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: unsharp-maskCore Ultra 7 155HRyzen 7 7840U48121620SE +/- 0.03, N = 3SE +/- 0.02, N = 416.0714.49
MinAvgMaxCore Ultra 7 155H4.423.832.8OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor1020304050

OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.34Test: rotateCore Ultra 7 155HRyzen 7 7840U3691215SE +/- 0.06, N = 4SE +/- 0.01, N = 413.1812.41
MinAvgMaxCore Ultra 7 155H4.017.624.6OpenBenchmarking.orgWatts, Fewer Is BetterGIMP 2.10.34CPU Power Consumption Monitor816243240

ASTC Encoder

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

OpenBenchmarking.orgMT/s, More Is BetterASTC Encoder 4.0Preset: MediumCore Ultra 7 155HRyzen 7 7840U1326395265SE +/- 0.15, N = 4SE +/- 0.08, N = 456.7957.261. (CXX) g++ options: -O3 -flto -pthread
MinAvgMaxCore Ultra 7 155H4.135.664.1Ryzen 7 7840U3.126.851.0OpenBenchmarking.orgWatts, Fewer Is BetterASTC Encoder 4.0CPU Power Consumption Monitor20406080100

Kvazaar

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

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.2Video Input: Bosphorus 1080p - Video Preset: Ultra FastCore Ultra 7 155HRyzen 7 7840U4080120160200SE +/- 1.29, N = 15SE +/- 0.38, N = 9136.56174.711. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
MinAvgMaxCore Ultra 7 155H1.532.762.9Ryzen 7 7840U2.324.850.6OpenBenchmarking.orgWatts, Fewer Is BetterKvazaar 2.2CPU Power Consumption Monitor20406080100

Numenta Anomaly Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.066, N = 7SE +/- 0.047, N = 67.1326.954
MinAvgMaxCore Ultra 7 155H3.934.964.3Ryzen 7 7840U3.627.651.2OpenBenchmarking.orgWatts, Fewer Is BetterNumenta Anomaly Benchmark 1.1CPU Power Consumption Monitor20406080100

Selenium

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

OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Google ChromeCore Ultra 7 155HRyzen 7 7840U510152025SE +/- 0.18, N = 6SE +/- 0.02, N = 620.3419.101. chrome 120.0.6099.109
MinAvgMaxCore Ultra 7 155H1.75.517.0Ryzen 7 7840U3.37.316.0OpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitor510152025

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 6Core Ultra 7 155HRyzen 7 7840U246810SE +/- 0.041, N = 7SE +/- 0.037, N = 66.3586.7261. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H3.634.864.4Ryzen 7 7840U3.626.051.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Boat - Acceleration: CPU-onlyCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.061, N = 6SE +/- 0.032, N = 66.1275.616
MinAvgMaxCore Ultra 7 155H4.433.164.0OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor20406080100

GNU Octave Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 8.3.0Core Ultra 7 155HRyzen 7 7840U246810SE +/- 0.035, N = 5SE +/- 0.020, N = 68.5226.542
MinAvgMaxCore Ultra 7 155H1.415.729.1OpenBenchmarking.orgWatts, Fewer Is BetterGNU Octave Benchmark 8.3.0CPU Power Consumption Monitor918273645

GEGL

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

OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: CropCore Ultra 7 155HRyzen 7 7840U1.3412.6824.0235.3646.705SE +/- 0.013, N = 7SE +/- 0.007, N = 75.9605.522
MinAvgMaxCore Ultra 7 155H1.418.532.0Ryzen 7 7840U6.717.326.3OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor918273645

LAME MP3 Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Core Ultra 7 155HRyzen 7 7840U1.29742.59483.89225.18966.487SE +/- 0.042, N = 7SE +/- 0.012, N = 75.7665.381-lncurses1. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm
MinAvgMaxCore Ultra 7 155H1.413.122.2Ryzen 7 7840U2.611.217.2OpenBenchmarking.orgWatts, Fewer Is BetterLAME MP3 Encoding 3.100CPU Power Consumption Monitor612182430

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: ScaleCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.030, N = 6SE +/- 0.007, N = 86.4964.673
MinAvgMaxCore Ultra 7 155H1.022.738.6Ryzen 7 7840U6.820.032.8OpenBenchmarking.orgWatts, Fewer Is BetterGEGLCPU Power Consumption Monitor1122334455

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Masskrug - Acceleration: CPU-onlyCore Ultra 7 155HRyzen 7 7840U0.80171.60342.40513.20684.0085SE +/- 0.019, N = 8SE +/- 0.005, N = 83.5383.563
MinAvgMaxCore Ultra 7 155H4.622.957.5OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor1632486480

libavif avifenc

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

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 1.0Encoder Speed: 10, LosslessCore Ultra 7 155HRyzen 7 7840U1.15832.31663.47494.63325.7915SE +/- 0.039, N = 7SE +/- 0.012, N = 75.1484.9711. (CXX) g++ options: -O3 -fPIC -lm
MinAvgMaxCore Ultra 7 155H4.524.563.8Ryzen 7 7840U2.919.451.0OpenBenchmarking.orgWatts, Fewer Is Betterlibavif avifenc 1.0CPU Power Consumption Monitor20406080100

Unpacking The Linux Kernel

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

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking The Linux Kernel 5.19linux-5.19.tar.xzCore Ultra 7 155HRyzen 7 7840U1.17142.34283.51424.68565.857SE +/- 0.032, N = 7SE +/- 0.010, N = 75.2064.650
MinAvgMaxCore Ultra 7 155H1.615.527.9Ryzen 7 7840U2.612.920.7OpenBenchmarking.orgWatts, Fewer Is BetterUnpacking The Linux Kernel 5.19CPU Power Consumption Monitor918273645

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount SwivelCore Ultra 7 155HRyzen 7 7840U0.96011.92022.88033.84044.8005SE +/- 0.025, N = 8SE +/- 0.026, N = 84.2674.2381. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.413.326.1Ryzen 7 7840U6.512.418.1OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Room - Acceleration: CPU-onlyCore Ultra 7 155HRyzen 7 7840U0.6231.2461.8692.4923.115SE +/- 0.018, N = 8SE +/- 0.003, N = 82.7692.761
MinAvgMaxCore Ultra 7 155H4.220.957.9OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor1632486480

WebP2 Image Encode

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

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultCore Ultra 7 155HRyzen 7 7840U246810SE +/- 0.03, N = 9SE +/- 0.02, N = 98.228.421. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
MinAvgMaxCore Ultra 7 155H1.625.764.2Ryzen 7 7840U2.921.551.2OpenBenchmarking.orgWatts, Fewer Is BetterWebP2 Image Encode 20220823CPU Power Consumption Monitor20406080100

OpenSCAD

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

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Retro CarCore Ultra 7 155HRyzen 7 7840U0.54811.09621.64432.19242.7405SE +/- 0.017, N = 10SE +/- 0.003, N = 102.4362.4241. OpenSCAD version 2021.01
MinAvgMaxCore Ultra 7 155H1.49.926.0Ryzen 7 7840U6.510.817.9OpenBenchmarking.orgWatts, Fewer Is BetterOpenSCADCPU Power Consumption Monitor816243240

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840U90180270360450SE +/- 0.87, N = 11SE +/- 0.49, N = 11361.55415.641. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.618.762.6Ryzen 7 7840U2.515.950.5OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 1080pCore Ultra 7 155HRyzen 7 7840U110220330440550SE +/- 1.57, N = 11SE +/- 0.65, N = 11458.37503.211. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
MinAvgMaxCore Ultra 7 155H1.615.962.5Ryzen 7 7840U3.214.350.6OpenBenchmarking.orgWatts, Fewer Is BetterSVT-AV1 1.8CPU Power Consumption Monitor20406080100

Darktable

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

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.4.2Test: Server Rack - Acceleration: CPU-onlyCore Ultra 7 155HRyzen 7 7840U0.0920.1840.2760.3680.46SE +/- 0.009, N = 15SE +/- 0.001, N = 130.4090.349
MinAvgMaxCore Ultra 7 155H3.410.835.4OpenBenchmarking.orgWatts, Fewer Is BetterDarktable 4.4.2CPU Power Consumption Monitor1020304050

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-RelaxationCore Ultra 7 155HRyzen 7 7840U5001000150020002500SE +/- 0.36, N = 3SE +/- 5.00, N = 32555.592225.42

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Dense LU Matrix FactorizationCore Ultra 7 155HRyzen 7 7840U3K6K9K12K15KSE +/- 199.16, N = 3SE +/- 172.82, N = 310250.9015816.04

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix MultiplyCore Ultra 7 155HRyzen 7 7840U8001600240032004000SE +/- 143.87, N = 3SE +/- 175.10, N = 33696.163760.21

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Fast Fourier TransformCore Ultra 7 155HRyzen 7 7840U150300450600750SE +/- 14.60, N = 3SE +/- 2.39, N = 3710.18340.38

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Monte CarloCore Ultra 7 155HRyzen 7 7840U400800120016002000SE +/- 10.81, N = 3SE +/- 3.31, N = 31331.122079.56

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 BenchmarksCore Ultra 7 155HRyzen 7 7840U122436486042.3154.20

Number Of First Place Finishes

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

Number Of Last Place Finishes

Core Ultra 7 155H292 [78.9%]Ryzen 7 7840U78 [21.1%]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.