Intel Lunar Lake vs. AMD Strix Point Power Profiles

Benchmarks for a future article by Michael Larabel.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2410101-NE-LUNARSTRI52
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

Multi-Way Comparison

Condense Comparison
Transpose Comparison

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Toggle/Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Core Ultra 7 256V: power
October 06
  11 Hours, 12 Minutes
Core Ultra 7 256V: balance_performance
October 05
  8 Hours, 4 Minutes
Core Ultra 7 256V: performance
October 05
  8 Hours, 2 Minutes
Ryzen AI 9 365: power
October 09
  7 Hours, 36 Minutes
Ryzen AI 9 365: balance_performance
October 07
  11 Hours, 46 Minutes
Ryzen AI 9 365: performance
October 08
  10 Hours, 40 Minutes
Invert Behavior (Only Show Selected Data)
  9 Hours, 33 Minutes

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


ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerCompilerFile-SystemScreen ResolutionCore Ultra 7 256VRyzen AI 9 365 power balance_performance performance power balance_performance performanceIntel Core Ultra 7 256V @ 4.70GHz (8 Cores)ASUS Zenbook S 14 UX5406SA_UX5406SA UX5406SA v1.0 (UX5406SA.300 BIOS)Intel Device a87f8 x 2GB LPDDR5-8533MT/s Samsung1024GB Western Digital WD PC SN560 SDDPNQE-1T00-1102ASUS Intel LNL 7GBIntel Lunar Lake-M HD AudioIntel Device a840Ubuntu 24.106.11.0-8-generic (x86_64)GNOME Shell 47.0X Server + WaylandGCC 14.2.0ext42880x1800AMD Ryzen AI 9 365 @ 2.00GHz (10 Cores / 20 Threads)ASUS Zenbook S 16 UM5606WA_UM5606WA UM5606WA v1.0 (UM5606WA.308 BIOS)AMD Device 15074 x 6GB LPDDR5-7500MT/s Micron MT62F1536M32D4DS-0261024GB MTFDKBA1T0QFM-1BD1AABGBAMD Radeon 512MBAMD Rembrandt Radeon HD AudioMEDIATEK Device 79256.11.0-rc6-phx (x86_64)AMD Ryzen AI 9 365 @ 4.31GHz (10 Cores / 20 Threads)OpenBenchmarking.orgKernel Details- Core Ultra 7 256V: power: Transparent Huge Pages: madvise- Core Ultra 7 256V: balance_performance: Transparent Huge Pages: madvise- Core Ultra 7 256V: performance: Transparent Huge Pages: madvise- Ryzen AI 9 365: power: amdgpu.dcdebugmask=0x600 - Transparent Huge Pages: madvise- Ryzen AI 9 365: balance_performance: amdgpu.dcdebugmask=0x600 - Transparent Huge Pages: madvise- Ryzen AI 9 365: performance: amdgpu.dcdebugmask=0x600 - 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,rust --enable-libphobos-checking=release --enable-libstdcxx-backtrace --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-14-zdkDXv/gcc-14-14.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-build-config=bootstrap-lto-lean --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Core Ultra 7 256V: power: Scaling Governor: intel_pstate powersave (EPP: power) - CPU Microcode: 0x114 - Thermald 2.5.8- Core Ultra 7 256V: balance_performance: Scaling Governor: intel_pstate powersave (EPP: balance_performance) - CPU Microcode: 0x114 - Thermald 2.5.8- Core Ultra 7 256V: performance: Scaling Governor: intel_pstate powersave (EPP: performance) - CPU Microcode: 0x114 - Thermald 2.5.8- Ryzen AI 9 365: power: Scaling Governor: amd-pstate-epp powersave (Boost: Enabled EPP: power) - Platform Profile: low-power - CPU Microcode: 0xb204011 - ACPI Profile: low-power- Ryzen AI 9 365: balance_performance: Scaling Governor: amd-pstate-epp powersave (Boost: Enabled EPP: balance_performance) - Platform Profile: balanced - CPU Microcode: 0xb204011 - ACPI Profile: balanced- Ryzen AI 9 365: performance: Scaling Governor: amd-pstate-epp performance (Boost: Enabled EPP: performance) - Platform Profile: performance - CPU Microcode: 0xb204011 - ACPI Profile: performanceJava Details- OpenJDK Runtime Environment (build 21.0.5-ea+8-Ubuntu-1)Python Details- Python 3.12.7Security Details- Core Ultra 7 256V: power: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Core Ultra 7 256V: balance_performance: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Core Ultra 7 256V: performance: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen AI 9 365: power: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen AI 9 365: balance_performance: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected - Ryzen AI 9 365: performance: gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + reg_file_data_sampling: Not affected + retbleed: Not affected + spec_rstack_overflow: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced / Automatic IBRS; IBPB: conditional; STIBP: always-on; RSB filling; PBRSB-eIBRS: Not affected; BHI: Not affected + srbds: Not affected + tsx_async_abort: Not affected

svt-av1: Preset 3 - Bosphorus 4Kbuild-godot: Time To Compiletensorflow: CPU - 64 - ResNet-50ffmpeg: libx265 - Platformsvt-av1: Preset 5 - Bosphorus 4Knamd: STMV with 1,066,628 Atomsblender: BMW27 - CPU-Onlyffmpeg: libx265 - Video On Demandvvenc: Bosphorus 4K - Fastospray: particle_volume/pathtracer/real_timecassandra: Writesffmpeg: libx265 - Uploadopenssl: AES-128-GCMrawtherapee: Total Benchmark Timesvt-av1: Preset 8 - Bosphorus 4Kbuild-linux-kernel: defconfigselenium: Jetstream 2 - Firefoxtensorflow: CPU - 16 - ResNet-50gromacs: MPI CPU - water_GMX50_barebuild-ffmpeg: Time To Compilex265: Bosphorus 4Kopenssl: ChaCha20-Poly1305openssl: ChaCha20openssl: AES-256-GCMindigobench: CPU - Bedroomvvenc: Bosphorus 4K - Fasterindigobench: CPU - Supercaropenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUospray: particle_volume/ao/real_timeopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUselenium: Speedometer 3.0 - Firefoxdacapobench: Eclipsepyperformance: python_startupgegl: Color Enhanceopenscad: Pistolnamd: ATPase with 327,506 Atomsv-ray: CPUffmpeg: libx265 - Livebuild-mesa: Time To Compilesvt-av1: Preset 13 - Bosphorus 4Kopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUdacapobench: Tradebeanscompress-7zip: Decompression Ratingcompress-7zip: Compression Ratingopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUospray: gravity_spheres_volume/dim_512/ao/real_timegegl: Rotate 90 Degreesgimp: resizegegl: Reflectdacapobench: Jythondacapobench: Avrora AVR Simulation Frameworkselenium: Kraken - Firefoxselenium: WASM collisionDetection - Firefoxdarktable: Boat - CPU-onlyphpbench: PHP Benchmark Suiteopenscad: Leonardo Phone Case Slimdacapobench: Tradesoapopenscad: Mini-ITX Casedacapobench: Batik SVG Toolkitpyperformance: regex_compileselenium: WASM imageConvolute - Firefoxpyperformance: crypto_pyaespyperformance: json_loadsselenium: PSPDFKit WASM - Firefoxgimp: unsharp-maskpybench: Total For Average Test Timesgimp: auto-levelsgimp: rotategegl: Scaleoctave-benchmark: darktable: Masskrug - CPU-onlyopenscad: Projector Mount SwivelCore Ultra 7 256VRyzen AI 9 365 power balance_performance performance power balance_performance performance1.5871062.4679.5422.555.7910.09777348.3622.621.86653.13933042110.7436658954923129.62913.236315.996101.5908.500.712163.3056.07911206891713465496510310839075730.5174.4331.153394.685.0621.8790.941041.161.921.6987627.0073.90287.346.9681.2024.609.551932520.480.096106.2230.32895523358.0687.57547.64225.1979.1610224166812827819.49102.140.594043100.59447.82545.838554840051044.4547.022.05166916432.294666048.736232115638.086.424216733.77192428.53428.04423.52414.5947.8527.5612.073689.38713.7740.728.0510.12695250.7740.722.76288.74175715819.884350817020770.46817.796203.481251.99512.580.831105.24110.461226877665718201466017378791243330.8586.3992.184191.0510.4710.84183.53498.144.022.3718713.11152.31149.1713.4136.6954.5026.1794810.635.11742.7220.412988874119.2155.88966.93712.45160.23497227966497549.61207.461.0234840.34918.66419.73623632311413.6232.310.283150804613.750314820.42992067.115.637.51087414.49541612.51212.1839.2466.3624.0533.3342.072687.98713.8040.878.0780.12767250.8740.872.76288.79005783119.934354089906770.07517.813202.234252.83512.620.833105.17510.451228431842718232387810379705476000.8596.4092.185189.8910.5310.91182.46496.814.032.3624813.05153.00148.6513.4536.5754.6726.183138.2135.09942.8380.413208835119.1555.53167.53212.60158.41436827820492579.57208.451.0320040.45318.74719.84023481974412.5232.410.392150837413.621308520.38392867.015.637.61087314.30741612.38712.1089.1576.2594.1633.3053.121555.53120.5031.0211.8100.31089178.1731.003.12292.886310176114.812764442246385.94528.631158.848110.72219.491.06592.20013.022490478428035479742147256688801571.4847.7943.348111.7335.7916.60596.41577.486.912.7917410.88366.4692.6543.1445.08221.2411.41558914.486.191101.4431.045871429982.5149.40100.0218.71457.45823640044644329.70410.872.2094080.61725.23948.968929853531043.4666.68.10155247632.926609849.091241316745.796.027.8137726.455111521.82922.73715.4299.8764.6928.0103.465447.57221.9346.4113.9620.35257140.5546.973.816125.13912604622.973615667820057.10533.425122.282182.22222.251.24369.81416.673485272819350142321233332158061231.8618.9054.166104.6638.3315.39643.81446.008.953.971199.50419.3684.2647.4741.01243.5017.788569.6748.96263.4121.2679218583129.4235.525125.0036.94571.65457753014863068.82451.002.9640944.77916.46327.84653112930624.6369.15.52594989820.210369829.831119799.824.656.716.888317.05965314.07513.0028.3096.8973.5314.9073.261474.73221.8945.0512.9620.33128160.3944.853.587124.88611658123.843633998545753.79829.825132.232191.32122.391.14474.65915.693496798390050734207523334414559471.7298.2633.899106.0337.8515.43642.43448.668.893.731419.64413.3881.3549.1539.52252.4818.389159.2248.99463.6401.1788017899137.1535.233117.1777.01565.96432348691812758.93445.562.8654243.00115.00226.57850822414642.7366.15.52393819119.766312429.797117099.923.156.816.686816.55465613.67112.7477.7746.6813.4094.812OpenBenchmarking.org

SVT-AV1

powerbalance_performanceperformanceOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 3 - Input: Bosphorus 4KCore Ultra 7 256VRyzen AI 9 3650.77961.55922.33883.11843.898SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.002, N = 3SE +/- 0.020, N = 3SE +/- 0.006, N = 3SE +/- 0.021, N = 31.5873.1212.0733.4652.0723.2611. (CXX) g++ options: -march=native -mno-avx

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To CompileCore Ultra 7 256VRyzen AI 9 3652004006008001000SE +/- 0.64, N = 3SE +/- 0.94, N = 3SE +/- 0.42, N = 3SE +/- 1.44, N = 3SE +/- 0.57, N = 3SE +/- 1.92, N = 31062.47555.53689.39447.57687.99474.73

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.

powerbalance_performanceperformanceOpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50Core Ultra 7 256VRyzen AI 9 365510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 39.5420.5013.7721.9313.8021.89

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.

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: PlatformCore Ultra 7 256VRyzen AI 9 3651122334455SE +/- 0.20, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.35, N = 11SE +/- 0.13, N = 3SE +/- 0.54, N = 1122.5531.0240.7246.4140.8745.051. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

SVT-AV1

powerbalance_performanceperformanceOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Bosphorus 4KCore Ultra 7 256VRyzen AI 9 36548121620SE +/- 0.003, N = 3SE +/- 0.004, N = 3SE +/- 0.027, N = 3SE +/- 0.109, N = 10SE +/- 0.022, N = 3SE +/- 0.135, N = 55.79111.8108.05113.9628.07812.9621. (CXX) g++ options: -march=native -mno-avx

NAMD

powerbalance_performanceperformanceOpenBenchmarking.orgns/day, More Is BetterNAMD 3.0Input: STMV with 1,066,628 AtomsCore Ultra 7 256VRyzen AI 9 3650.07930.15860.23790.31720.3965SE +/- 0.00054, N = 3SE +/- 0.00089, N = 3SE +/- 0.00044, N = 3SE +/- 0.00444, N = 12SE +/- 0.00009, N = 3SE +/- 0.00354, N = 40.097770.310890.126950.352570.127670.33128

Blender

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: BMW27 - Compute: CPU-OnlyCore Ultra 7 256VRyzen AI 9 36580160240320400SE +/- 1.74, N = 3SE +/- 0.11, N = 3SE +/- 0.78, N = 3SE +/- 0.68, N = 3SE +/- 1.13, N = 3SE +/- 2.88, N = 12348.36178.17250.77140.55250.87160.39

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.

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Video On DemandCore Ultra 7 256VRyzen AI 9 3651122334455SE +/- 0.08, N = 3SE +/- 0.00, N = 3SE +/- 0.12, N = 3SE +/- 0.40, N = 8SE +/- 0.11, N = 3SE +/- 0.54, N = 422.6231.0040.7246.9740.8744.851. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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.

powerbalance_performanceperformanceOpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FastCore Ultra 7 256VRyzen AI 9 3650.85861.71722.57583.43444.293SE +/- 0.002, N = 3SE +/- 0.011, N = 3SE +/- 0.005, N = 3SE +/- 0.033, N = 8SE +/- 0.009, N = 3SE +/- 0.035, N = 61.8663.1222.7623.8162.7623.5871. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

OSPRay

powerbalance_performanceperformanceOpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: particle_volume/pathtracer/real_timeCore Ultra 7 256VRyzen AI 9 365306090120150SE +/- 0.48, N = 12SE +/- 0.07, N = 3SE +/- 0.24, N = 3SE +/- 1.30, N = 5SE +/- 0.11, N = 3SE +/- 0.95, N = 353.1492.8988.74125.1488.79124.89

Apache Cassandra

powerbalance_performanceperformanceOpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 5.0Test: WritesCore Ultra 7 256VRyzen AI 9 36530K60K90K120K150KSE +/- 213.34, N = 3SE +/- 1000.61, N = 5SE +/- 378.89, N = 3SE +/- 1181.29, N = 12SE +/- 771.81, N = 3SE +/- 2144.17, N = 12304211017615715812604657831116581

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.

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: UploadCore Ultra 7 256VRyzen AI 9 365612182430SE +/- 0.10, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 310.7414.8119.8822.9719.9323.841. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenSSL

powerbalance_performanceperformanceOpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-128-GCMCore Ultra 7 256VRyzen AI 9 3659000M18000M27000M36000M45000MSE +/- 27127512.01, N = 3SE +/- 1465585.19, N = 3SE +/- 12884947.14, N = 3SE +/- 367759781.21, N = 5SE +/- 43257209.64, N = 3SE +/- 335315848.56, N = 73665895492327644422463435081702073615667820043540899067363399854571. OpenSSL 3.3.1 4 Jun 2024 (Library: OpenSSL 3.3.1 4 Jun 2024) - Additional Parameters: -engine qatengine -async_jobs 8

RawTherapee

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

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark TimeCore Ultra 7 256VRyzen AI 9 365306090120150SE +/- 1.59, N = 12SE +/- 0.05, N = 3SE +/- 1.62, N = 12SE +/- 0.34, N = 3SE +/- 0.92, N = 15SE +/- 0.09, N = 3129.6385.9570.4757.1170.0853.801. RawTherapee, version 5.10, command line.

SVT-AV1

powerbalance_performanceperformanceOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Bosphorus 4KCore Ultra 7 256VRyzen AI 9 365816243240SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.14, N = 3SE +/- 0.36, N = 15SE +/- 0.13, N = 3SE +/- 0.26, N = 1513.2428.6317.8033.4317.8129.831. (CXX) g++ options: -march=native -mno-avx

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigCore Ultra 7 256VRyzen AI 9 36570140210280350SE +/- 1.32, N = 3SE +/- 1.15, N = 3SE +/- 0.25, N = 3SE +/- 1.16, N = 6SE +/- 0.08, N = 3SE +/- 1.26, N = 3316.00158.85203.48122.28202.23132.23

Selenium

powerbalance_performanceperformanceOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: FirefoxCore Ultra 7 256VRyzen AI 9 36560120180240300SE +/- 0.56, N = 3SE +/- 0.77, N = 3SE +/- 0.90, N = 3SE +/- 2.62, N = 3SE +/- 2.58, N = 3SE +/- 1.98, N = 12101.59110.72252.00182.22252.84191.321. firefox 130.0

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.

powerbalance_performanceperformanceOpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: ResNet-50Core Ultra 7 256VRyzen AI 9 365510152025SE +/- 0.04, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.18, N = 9SE +/- 0.06, N = 3SE +/- 0.19, N = 138.5019.4912.5822.2512.6222.39

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.

powerbalance_performanceperformanceOpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_bareCore Ultra 7 256VRyzen AI 9 3650.27970.55940.83911.11881.3985SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.014, N = 3SE +/- 0.000, N = 3SE +/- 0.012, N = 30.7121.0650.8311.2430.8331.1441. (CXX) g++ options: -O3 -lm

Timed FFmpeg Compilation

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

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 7.0Time To CompileCore Ultra 7 256VRyzen AI 9 3654080120160200SE +/- 0.06, N = 3SE +/- 0.11, N = 3SE +/- 1.14, N = 3SE +/- 0.72, N = 13SE +/- 0.97, N = 3SE +/- 0.76, N = 15163.3192.20105.2469.81105.1874.66

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.

powerbalance_performanceperformanceOpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 4KCore Ultra 7 256VRyzen AI 9 36548121620SE +/- 0.05, N = 15SE +/- 0.09, N = 15SE +/- 0.09, N = 8SE +/- 0.17, N = 4SE +/- 0.09, N = 7SE +/- 0.11, N = 36.0713.0210.4616.6710.4515.691. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenSSL

powerbalance_performanceperformanceOpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: ChaCha20-Poly1305Core Ultra 7 256VRyzen AI 9 3657000M14000M21000M28000M35000MSE +/- 5055136.77, N = 3SE +/- 10785903.15, N = 3SE +/- 3227495.51, N = 3SE +/- 338601910.57, N = 3SE +/- 4547108.65, N = 3SE +/- 220117944.41, N = 3911206891724904784280122687766573485272819312284318427349679839001. OpenSSL 3.3.1 4 Jun 2024 (Library: OpenSSL 3.3.1 4 Jun 2024) - Additional Parameters: -engine qatengine -async_jobs 8

powerbalance_performanceperformanceOpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: ChaCha20Core Ultra 7 256VRyzen AI 9 36511000M22000M33000M44000M55000MSE +/- 35107321.06, N = 3SE +/- 1670531.26, N = 3SE +/- 9589613.05, N = 3SE +/- 720213862.31, N = 3SE +/- 7054610.91, N = 3SE +/- 522990747.54, N = 31346549651035479742147182014660175014232123318232387810507342075231. OpenSSL 3.3.1 4 Jun 2024 (Library: OpenSSL 3.3.1 4 Jun 2024) - Additional Parameters: -engine qatengine -async_jobs 8

powerbalance_performanceperformanceOpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-256-GCMCore Ultra 7 256VRyzen AI 9 3658000M16000M24000M32000M40000MSE +/- 49523049.67, N = 3SE +/- 8629734.66, N = 3SE +/- 32994880.44, N = 3SE +/- 276741096.33, N = 3SE +/- 25828566.10, N = 3SE +/- 424932749.56, N = 33108390757325668880157378791243333321580612337970547600334414559471. OpenSSL 3.3.1 4 Jun 2024 (Library: OpenSSL 3.3.1 4 Jun 2024) - Additional Parameters: -engine qatengine -async_jobs 8

IndigoBench

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

powerbalance_performanceperformanceOpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: BedroomCore Ultra 7 256VRyzen AI 9 3650.41870.83741.25611.67482.0935SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.014, N = 15SE +/- 0.001, N = 3SE +/- 0.016, N = 150.5171.4840.8581.8610.8591.729

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.

powerbalance_performanceperformanceOpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: FasterCore Ultra 7 256VRyzen AI 9 365246810SE +/- 0.004, N = 3SE +/- 0.013, N = 3SE +/- 0.087, N = 3SE +/- 0.065, N = 15SE +/- 0.068, N = 3SE +/- 0.090, N = 54.4337.7946.3998.9056.4098.2631. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

IndigoBench

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

powerbalance_performanceperformanceOpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: SupercarCore Ultra 7 256VRyzen AI 9 3650.93741.87482.81223.74964.687SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.004, N = 3SE +/- 0.049, N = 15SE +/- 0.004, N = 3SE +/- 0.026, N = 141.1533.3482.1844.1662.1853.899

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.

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 36590180270360450SE +/- 0.45, N = 3SE +/- 1.44, N = 3SE +/- 2.69, N = 3SE +/- 1.62, N = 15SE +/- 2.36, N = 3SE +/- 1.79, N = 15394.68111.73191.05104.66189.89106.031. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 365918273645SE +/- 0.01, N = 3SE +/- 0.45, N = 3SE +/- 0.15, N = 3SE +/- 0.61, N = 15SE +/- 0.13, N = 3SE +/- 0.66, N = 155.0635.7910.4738.3310.5337.851. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 365510152025SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 13SE +/- 0.14, N = 3SE +/- 0.16, N = 1521.8716.6010.8415.3910.9115.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 365140280420560700SE +/- 0.12, N = 3SE +/- 0.37, N = 3SE +/- 2.20, N = 3SE +/- 4.76, N = 13SE +/- 2.47, N = 3SE +/- 6.26, N = 1590.94596.41183.53643.81182.46642.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUCore Ultra 7 256VRyzen AI 9 3652004006008001000SE +/- 0.50, N = 3SE +/- 1.64, N = 3SE +/- 3.12, N = 12SE +/- 1.64, N = 3SE +/- 3.60, N = 10SE +/- 1.68, N = 31041.16577.48498.14446.00496.81448.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUCore Ultra 7 256VRyzen AI 9 3653691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 12SE +/- 0.03, N = 3SE +/- 0.03, N = 10SE +/- 0.03, N = 31.926.914.028.954.038.891. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay

powerbalance_performanceperformanceOpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: particle_volume/ao/real_timeCore Ultra 7 256VRyzen AI 9 3650.89351.7872.68053.5744.4675SE +/- 0.00590, N = 3SE +/- 0.00036, N = 3SE +/- 0.00393, N = 3SE +/- 0.04721, N = 4SE +/- 0.01305, N = 3SE +/- 0.00571, N = 31.698762.791742.371873.971192.362483.73141

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.

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 365612182430SE +/- 0.10, N = 3SE +/- 0.10, N = 3SE +/- 0.14, N = 4SE +/- 0.07, N = 3SE +/- 0.14, N = 4SE +/- 0.07, N = 1527.0010.8813.119.5013.059.641. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 36590180270360450SE +/- 0.28, N = 3SE +/- 3.44, N = 3SE +/- 1.65, N = 4SE +/- 2.95, N = 3SE +/- 1.69, N = 4SE +/- 3.09, N = 1573.90366.46152.31419.36153.00413.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 36560120180240300SE +/- 3.38, N = 3SE +/- 0.06, N = 3SE +/- 1.85, N = 3SE +/- 0.53, N = 15SE +/- 1.52, N = 3SE +/- 1.09, N = 3287.3492.65149.1784.26148.6581.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 3651122334455SE +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3SE +/- 0.31, N = 15SE +/- 0.14, N = 3SE +/- 0.66, N = 36.9643.1413.4147.4713.4549.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUCore Ultra 7 256VRyzen AI 9 36520406080100SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.48, N = 3SE +/- 0.33, N = 15SE +/- 0.48, N = 3SE +/- 0.38, N = 381.2045.0836.6941.0136.5739.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUCore Ultra 7 256VRyzen AI 9 36560120180240300SE +/- 0.02, N = 3SE +/- 0.27, N = 3SE +/- 0.72, N = 3SE +/- 1.98, N = 15SE +/- 0.73, N = 3SE +/- 2.39, N = 324.60221.2454.50243.5054.67252.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Selenium

powerbalance_performanceperformanceOpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Speedometer 3.0 - Browser: FirefoxCore Ultra 7 256VRyzen AI 9 365612182430SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.17, N = 15SE +/- 0.12, N = 3SE +/- 0.09, N = 39.5511.4026.1017.7026.1018.301. firefox 130.0

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

powerbalance_performanceperformanceOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: EclipseCore Ultra 7 256VRyzen AI 9 3654K8K12K16K20KSE +/- 136.50, N = 3SE +/- 162.03, N = 3SE +/- 82.37, N = 3SE +/- 21.70, N = 3SE +/- 108.09, N = 15SE +/- 143.89, N = 1519325155897948885683138915

PyPerformance

powerbalance_performanceperformanceOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startupCore Ultra 7 256VRyzen AI 9 365510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 320.4014.4010.609.678.219.22

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color EnhanceCore Ultra 7 256VRyzen AI 9 36520406080100SE +/- 0.18, N = 3SE +/- 0.72, N = 3SE +/- 0.03, N = 3SE +/- 0.47, N = 15SE +/- 0.04, N = 3SE +/- 0.57, N = 380.1086.1935.1248.9635.1048.99

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: PistolCore Ultra 7 256VRyzen AI 9 36520406080100SE +/- 0.48, N = 3SE +/- 0.64, N = 3SE +/- 0.07, N = 3SE +/- 0.59, N = 7SE +/- 0.06, N = 3SE +/- 0.03, N = 3106.22101.4442.7263.4142.8463.641. OpenSCAD version 2021.01

NAMD

powerbalance_performanceperformanceOpenBenchmarking.orgns/day, More Is BetterNAMD 3.0Input: ATPase with 327,506 AtomsCore Ultra 7 256VRyzen AI 9 3650.28530.57060.85591.14121.4265SE +/- 0.00181, N = 3SE +/- 0.00028, N = 3SE +/- 0.00158, N = 3SE +/- 0.01005, N = 3SE +/- 0.00365, N = 3SE +/- 0.01044, N = 30.328951.045870.412981.267920.413201.17880

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.

powerbalance_performanceperformanceOpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPUCore Ultra 7 256VRyzen AI 9 3654K8K12K16K20KSE +/- 5.67, N = 3SE +/- 46.76, N = 3SE +/- 70.84, N = 3SE +/- 85.16, N = 3SE +/- 72.49, N = 3SE +/- 134.41, N = 3523314299887418583883517899

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.

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: LiveCore Ultra 7 256VRyzen AI 9 365306090120150SE +/- 0.40, N = 3SE +/- 0.04, N = 3SE +/- 1.23, N = 3SE +/- 0.20, N = 3SE +/- 1.61, N = 3SE +/- 1.45, N = 358.0682.51119.21129.42119.15137.151. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Timed Mesa Compilation

This test profile times how long it takes to compile Mesa with Meson/Ninja. For minimizing build dependencies and avoid versioning conflicts, test this is just the core Mesa build without LLVM or the extra Gallium3D/Mesa drivers enabled. Learn more via the OpenBenchmarking.org test page.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To CompileCore Ultra 7 256VRyzen AI 9 36520406080100SE +/- 0.37, N = 3SE +/- 0.24, N = 3SE +/- 0.70, N = 4SE +/- 0.26, N = 11SE +/- 0.71, N = 3SE +/- 0.51, N = 387.5849.4055.8935.5355.5335.23

SVT-AV1

powerbalance_performanceperformanceOpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Bosphorus 4KCore Ultra 7 256VRyzen AI 9 365306090120150SE +/- 0.29, N = 3SE +/- 0.89, N = 12SE +/- 0.70, N = 3SE +/- 1.41, N = 15SE +/- 0.70, N = 4SE +/- 1.29, N = 1247.64100.0266.94125.0067.53117.181. (CXX) g++ options: -march=native -mno-avx

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.

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 365612182430SE +/- 0.23, N = 3SE +/- 0.05, N = 3SE +/- 0.13, N = 5SE +/- 0.06, N = 3SE +/- 0.14, N = 4SE +/- 0.10, N = 325.198.7112.456.9412.607.011. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUCore Ultra 7 256VRyzen AI 9 365120240360480600SE +/- 0.74, N = 3SE +/- 2.76, N = 3SE +/- 1.71, N = 5SE +/- 4.58, N = 3SE +/- 1.74, N = 4SE +/- 8.12, N = 379.16457.45160.23571.65158.41565.961. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

powerbalance_performanceperformanceOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: TradebeansCore Ultra 7 256VRyzen AI 9 3652K4K6K8K10KSE +/- 91.28, N = 3SE +/- 162.76, N = 15SE +/- 87.80, N = 15SE +/- 12.39, N = 3SE +/- 19.46, N = 3SE +/- 37.59, N = 71022482364972457743684323

7-Zip Compression

powerbalance_performanceperformanceOpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 24.05Test: Decompression RatingCore Ultra 7 256VRyzen AI 9 36511K22K33K44K55KSE +/- 39.02, N = 3SE +/- 30.10, N = 12SE +/- 919.21, N = 4SE +/- 94.96, N = 3SE +/- 730.02, N = 5SE +/- 244.23, N = 31668140044279665301427820486911. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

powerbalance_performanceperformanceOpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 24.05Test: Compression RatingCore Ultra 7 256VRyzen AI 9 36520K40K60K80K100KSE +/- 345.38, N = 3SE +/- 449.06, N = 12SE +/- 615.69, N = 4SE +/- 552.90, N = 3SE +/- 550.10, N = 5SE +/- 568.72, N = 32827864432497548630649257812751. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

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.

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUCore Ultra 7 256VRyzen AI 9 365510152025SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 3SE +/- 0.12, N = 3SE +/- 0.08, N = 319.499.709.618.829.578.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

powerbalance_performanceperformanceOpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUCore Ultra 7 256VRyzen AI 9 365100200300400500SE +/- 0.09, N = 3SE +/- 0.98, N = 3SE +/- 2.69, N = 3SE +/- 5.33, N = 3SE +/- 2.62, N = 3SE +/- 3.93, N = 3102.14410.87207.46451.00208.45445.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay

powerbalance_performanceperformanceOpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/ao/real_timeCore Ultra 7 256VRyzen AI 9 3650.66691.33382.00072.66763.3345SE +/- 0.000394, N = 3SE +/- 0.014969, N = 3SE +/- 0.007451, N = 3SE +/- 0.033743, N = 3SE +/- 0.008908, N = 3SE +/- 0.037530, N = 30.5940432.2094001.0234802.9640901.0320002.865420

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 DegreesCore Ultra 7 256VRyzen AI 9 36520406080100SE +/- 0.23, N = 3SE +/- 0.91, N = 3SE +/- 0.29, N = 3SE +/- 0.19, N = 3SE +/- 0.01, N = 3SE +/- 0.18, N = 3100.5980.6240.3544.7840.4543.00

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.38Test: resizeCore Ultra 7 256VRyzen AI 9 3651122334455SE +/- 0.41, N = 3SE +/- 0.25, N = 6SE +/- 0.13, N = 15SE +/- 0.14, N = 3SE +/- 0.21, N = 15SE +/- 0.14, N = 447.8325.2418.6616.4618.7515.00

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ReflectCore Ultra 7 256VRyzen AI 9 3651122334455SE +/- 0.12, N = 3SE +/- 0.45, N = 3SE +/- 0.02, N = 3SE +/- 0.22, N = 15SE +/- 0.12, N = 3SE +/- 0.24, N = 345.8448.9719.7427.8519.8426.58

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

powerbalance_performanceperformanceOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: JythonCore Ultra 7 256VRyzen AI 9 3652K4K6K8K10KSE +/- 53.35, N = 3SE +/- 11.67, N = 3SE +/- 9.26, N = 5SE +/- 126.28, N = 15SE +/- 16.26, N = 5SE +/- 190.89, N = 15554892982363531123485082

powerbalance_performanceperformanceOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Avrora AVR Simulation FrameworkCore Ultra 7 256VRyzen AI 9 36511002200330044005500SE +/- 44.83, N = 4SE +/- 87.82, N = 15SE +/- 48.99, N = 15SE +/- 88.21, N = 15SE +/- 35.61, N = 12SE +/- 72.62, N = 15400553532311293019742414

Selenium

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: FirefoxCore Ultra 7 256VRyzen AI 9 3652004006008001000SE +/- 4.36, N = 3SE +/- 0.84, N = 3SE +/- 0.79, N = 3SE +/- 13.24, N = 15SE +/- 0.43, N = 3SE +/- 0.97, N = 31044.41043.4413.6624.6412.5642.71. firefox 130.0

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: FirefoxCore Ultra 7 256VRyzen AI 9 365140280420560700SE +/- 0.87, N = 3SE +/- 8.81, N = 3SE +/- 0.58, N = 4SE +/- 10.71, N = 15SE +/- 0.46, N = 4SE +/- 11.41, N = 15547.0666.6232.3369.1232.4366.11. firefox 130.0

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.8.1Test: Boat - Acceleration: CPU-onlyCore Ultra 7 256VRyzen AI 9 365510152025SE +/- 0.298, N = 15SE +/- 0.045, N = 5SE +/- 0.097, N = 5SE +/- 0.020, N = 6SE +/- 0.099, N = 15SE +/- 0.027, N = 622.0518.10110.2835.52510.3925.523

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.

powerbalance_performanceperformanceOpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteCore Ultra 7 256VRyzen AI 9 365300K600K900K1200K1500KSE +/- 607.33, N = 3SE +/- 2215.85, N = 3SE +/- 5690.77, N = 4SE +/- 13149.10, N = 15SE +/- 5781.48, N = 4SE +/- 2460.70, N = 366916455247615080469498981508374938191

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Leonardo Phone Case SlimCore Ultra 7 256VRyzen AI 9 365816243240SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 4SE +/- 0.06, N = 3SE +/- 0.03, N = 4SE +/- 0.18, N = 1532.2932.9313.7520.2113.6219.771. OpenSCAD version 2021.01

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

powerbalance_performanceperformanceOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: TradesoapCore Ultra 7 256VRyzen AI 9 36514002800420056007000SE +/- 85.87, N = 3SE +/- 35.56, N = 3SE +/- 35.57, N = 3SE +/- 24.35, N = 14SE +/- 33.49, N = 3SE +/- 14.66, N = 3666060983148369830853124

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX CaseCore Ultra 7 256VRyzen AI 9 3651122334455SE +/- 0.05, N = 3SE +/- 0.18, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 348.7449.0920.4329.8320.3829.801. OpenSCAD version 2021.01

DaCapo Benchmark

This test runs the DaCapo Benchmarks written in Java and intended to test system/CPU performance of various popular real-world Java workloads. Learn more via the OpenBenchmarking.org test page.

powerbalance_performanceperformanceOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Batik SVG ToolkitCore Ultra 7 256VRyzen AI 9 3655001000150020002500SE +/- 22.68, N = 15SE +/- 55.49, N = 15SE +/- 2.74, N = 8SE +/- 35.74, N = 15SE +/- 5.12, N = 8SE +/- 34.04, N = 152321241392011979281170

PyPerformance

powerbalance_performanceperformanceOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compileCore Ultra 7 256VRyzen AI 9 3654080120160200SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3156.0167.067.199.867.099.9

Selenium

powerbalance_performanceperformanceOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: FirefoxCore Ultra 7 256VRyzen AI 9 3651020304050SE +/- 0.17, N = 4SE +/- 1.02, N = 15SE +/- 0.02, N = 6SE +/- 1.07, N = 15SE +/- 0.02, N = 6SE +/- 0.81, N = 1538.045.715.624.615.623.11. firefox 130.0

PyPerformance

powerbalance_performanceperformanceOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaesCore Ultra 7 256VRyzen AI 9 36520406080100SE +/- 0.20, N = 3SE +/- 0.25, N = 3SE +/- 0.03, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 3SE +/- 0.27, N = 386.496.037.556.737.656.8

powerbalance_performanceperformanceOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loadsCore Ultra 7 256VRyzen AI 9 365714212835SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 324.027.810.016.810.016.6

Selenium

powerbalance_performanceperformanceOpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: FirefoxCore Ultra 7 256VRyzen AI 9 3655001000150020002500SE +/- 19.86, N = 3SE +/- 4.84, N = 3SE +/- 6.80, N = 4SE +/- 9.68, N = 4SE +/- 5.19, N = 4SE +/- 1.19, N = 4216713778748838738681. firefox 130.0

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.38Test: unsharp-maskCore Ultra 7 256VRyzen AI 9 365816243240SE +/- 0.24, N = 3SE +/- 0.19, N = 3SE +/- 0.08, N = 4SE +/- 0.03, N = 3SE +/- 0.01, N = 4SE +/- 0.07, N = 333.7726.4614.5017.0614.3116.55

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.

powerbalance_performanceperformanceOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesCore Ultra 7 256VRyzen AI 9 3652004006008001000SE +/- 1.00, N = 3SE +/- 11.29, N = 3SE +/- 0.37, N = 5SE +/- 4.03, N = 4SE +/- 0.37, N = 5SE +/- 4.52, N = 49241115416653416656

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.38Test: auto-levelsCore Ultra 7 256VRyzen AI 9 365714212835SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 428.5321.8312.5114.0812.3913.67

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.38Test: rotateCore Ultra 7 256VRyzen AI 9 365714212835SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.01, N = 428.0422.7412.1813.0012.1112.75

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: ScaleCore Ultra 7 256VRyzen AI 9 365612182430SE +/- 0.063, N = 3SE +/- 0.121, N = 4SE +/- 0.034, N = 5SE +/- 0.077, N = 6SE +/- 0.018, N = 5SE +/- 0.040, N = 623.52415.4299.2468.3099.1577.774

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 9.2.0Core Ultra 7 256VRyzen AI 9 36548121620SE +/- 0.080, N = 5SE +/- 0.072, N = 5SE +/- 0.028, N = 6SE +/- 0.016, N = 6SE +/- 0.020, N = 7SE +/- 0.056, N = 814.5949.8766.3626.8976.2596.681

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.8.1Test: Masskrug - Acceleration: CPU-onlyCore Ultra 7 256VRyzen AI 9 365246810SE +/- 0.037, N = 5SE +/- 0.011, N = 6SE +/- 0.037, N = 7SE +/- 0.018, N = 8SE +/- 0.108, N = 15SE +/- 0.009, N = 87.8524.6924.0533.5314.1633.409

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.

powerbalance_performanceperformanceOpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount SwivelCore Ultra 7 256VRyzen AI 9 365246810SE +/- 0.035, N = 6SE +/- 0.028, N = 6SE +/- 0.020, N = 15SE +/- 0.029, N = 7SE +/- 0.014, N = 9SE +/- 0.040, N = 97.5618.0103.3344.9073.3054.8121. OpenSCAD version 2021.01

CPU Temperature Monitor

powerbalance_performanceperformanceOpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System MonitoringCore Ultra 7 256VRyzen AI 9 36520406080100Min: 31 / Avg: 48.45 / Max: 60Min: 38.88 / Avg: 58.59 / Max: 70.63Min: 32 / Avg: 64.89 / Max: 88Min: 44.13 / Avg: 70.53 / Max: 88.13Min: 37 / Avg: 64.71 / Max: 88Min: 40.13 / Avg: 69.48 / Max: 87.38

CPU Power Consumption Monitor

powerbalance_performanceperformanceOpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System MonitoringCore Ultra 7 256VRyzen AI 9 365714212835Min: 0.05 / Avg: 7.76 / Max: 15.85Min: 1 / Avg: 13.31 / Max: 24.47Min: 0.07 / Avg: 15.56 / Max: 28.57Min: 1.27 / Avg: 19.09 / Max: 34.08Min: 0.1 / Avg: 15.75 / Max: 28.53Min: 1.59 / Avg: 18.21 / Max: 33.92

CPU Peak Freq (Highest CPU Core Frequency) Monitor

powerbalance_performanceperformanceOpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System MonitoringCore Ultra 7 256VRyzen AI 9 3658001600240032004000Min: 400 / Avg: 1999.34 / Max: 3299Min: 599 / Avg: 1951.13 / Max: 2183Min: 400 / Avg: 3016.36 / Max: 4800Min: 2000 / Avg: 3110.89 / Max: 4321Min: 400 / Avg: 3147.4 / Max: 4802Min: 1839 / Avg: 3222.22 / Max: 4447

Geometric Mean Of All Test Results

powerbalance_performanceperformanceOpenBenchmarking.orgGeometric Mean, More Is BetterGeometric Mean Of All Test ResultsResult Composite - Intel Lunar Lake vs. AMD Strix Point Power ProfilesCore Ultra 7 256VRyzen AI 9 3656121824309.70417.10718.47223.84518.60923.753

88 Results Shown

SVT-AV1
Timed Godot Game Engine Compilation
TensorFlow
FFmpeg
SVT-AV1
NAMD
Blender
FFmpeg
VVenC
OSPRay
Apache Cassandra
FFmpeg
OpenSSL
RawTherapee
SVT-AV1
Timed Linux Kernel Compilation
Selenium
TensorFlow
GROMACS
Timed FFmpeg Compilation
x265
OpenSSL:
  ChaCha20-Poly1305
  ChaCha20
  AES-256-GCM
IndigoBench
VVenC
IndigoBench
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
  Noise Suppression Poconet-Like FP16 - CPU:
    ms
    FPS
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
OSPRay
OpenVINO:
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Handwritten English Recognition FP16-INT8 - CPU:
    ms
    FPS
Selenium
DaCapo Benchmark
PyPerformance
GEGL
OpenSCAD
NAMD
Chaos Group V-RAY
FFmpeg
Timed Mesa Compilation
SVT-AV1
OpenVINO:
  Person Re-Identification Retail FP16 - CPU:
    ms
    FPS
DaCapo Benchmark
7-Zip Compression:
  Decompression Rating
  Compression Rating
OpenVINO:
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
OSPRay
GEGL
GIMP
GEGL
DaCapo Benchmark:
  Jython
  Avrora AVR Simulation Framework
Selenium:
  Kraken - Firefox
  WASM collisionDetection - Firefox
Darktable
PHPBench
OpenSCAD
DaCapo Benchmark
OpenSCAD
DaCapo Benchmark
PyPerformance
Selenium
PyPerformance:
  crypto_pyaes
  json_loads
Selenium
GIMP
PyBench
GIMP:
  auto-levels
  rotate
GEGL
GNU Octave Benchmark
Darktable
OpenSCAD
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
    Megahertz
  Result Composite - Intel Lunar Lake vs. AMD Strix Point Power Profiles:
    Geometric Mean