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
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  Test
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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
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  9 Hours, 33 Minutes

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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

openvino: Person Detection FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUospray: gravity_spheres_volume/dim_512/ao/real_timeopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUcassandra: Writesdarktable: Boat - CPU-onlydacapobench: Jythonnamd: ATPase with 327,506 Atomsopenssl: ChaCha20-Poly1305openvino: Person Detection FP16 - CPUopenssl: ChaCha20openvino: Person Re-Identification Retail FP16 - CPUindigobench: CPU - Supercarnamd: STMV with 1,066,628 Atomsindigobench: CPU - Bedroomv-ray: CPUopenvino: Machine Translation EN To DE FP16 - CPUgimp: resizecompress-7zip: Decompression Ratingcompress-7zip: Compression Ratinggegl: Scaleselenium: WASM collisionDetection - Firefoxopenvino: Person Vehicle Bike Detection FP16 - CPUpyperformance: json_loadsx265: Bosphorus 4Kselenium: Speedometer 3.0 - Firefoxphpbench: PHP Benchmark Suitepybench: Total For Average Test Timestensorflow: CPU - 16 - ResNet-50svt-av1: Preset 13 - Bosphorus 4Kbuild-linux-kernel: defconfigpyperformance: crypto_pyaesselenium: Kraken - Firefoxsvt-av1: Preset 8 - Bosphorus 4Kselenium: PSPDFKit WASM - Firefoxgegl: Rotate 90 Degreespyperformance: regex_compileselenium: Jetstream 2 - Firefoxopenscad: Pistolbuild-mesa: Time To Compilepyperformance: python_startupgegl: Reflectblender: BMW27 - CPU-Onlygegl: Color Enhancedacapobench: Eclipseopenscad: Projector Mount Swivelopenscad: Leonardo Phone Case Slimsvt-av1: Preset 5 - Bosphorus 4Krawtherapee: Total Benchmark Timeopenscad: Mini-ITX Casebuild-godot: Time To Compiledacapobench: Tradebeansffmpeg: libx265 - Livegimp: unsharp-maskospray: particle_volume/pathtracer/real_timebuild-ffmpeg: Time To Compileospray: particle_volume/ao/real_timeopenvino: Face Detection FP16-INT8 - CPUoctave-benchmark: gimp: rotategimp: auto-levelsdarktable: Masskrug - CPU-onlytensorflow: CPU - 64 - ResNet-50openvino: Handwritten English Recognition FP16-INT8 - CPUffmpeg: libx265 - Uploadopenvino: Vehicle Detection FP16-INT8 - CPUsvt-av1: Preset 3 - Bosphorus 4Kdacapobench: Tradesoapffmpeg: libx265 - Video On Demandffmpeg: libx265 - Platformvvenc: Bosphorus 4K - Fastopenvino: Noise Suppression Poconet-Like FP16 - CPUvvenc: Bosphorus 4K - Fasteropenvino: Handwritten English Recognition FP16-INT8 - CPUgromacs: MPI CPU - water_GMX50_bareopenssl: AES-128-GCMopenssl: AES-256-GCMdacapobench: Batik SVG Toolkitdacapobench: Avrora AVR Simulation Frameworkselenium: WASM imageConvolute - FirefoxCore Ultra 7 256VRyzen AI 9 365 power balance_performance performance power balance_performance performance5.0679.1690.946.9673.900.5940431.92102.143042122.05155480.328959112068917394.681346549651025.191.1530.097770.5175233287.3447.825166812827823.524547.027.00246.079.556691649248.5047.642315.99686.41044.413.2362167100.594156101.590106.22387.57520.445.838348.3680.096193257.56132.2945.791129.62948.7361062.4671022458.0633.77153.1393163.3051.698761041.1614.59428.04428.5347.8529.5481.2010.7419.491.587666022.6222.551.86621.874.43324.600.71236658954923310839075732321400538.010.47160.23183.5313.41152.311.023484.02207.465715810.28323630.4129812268776657191.051820146601712.452.1840.126950.8588874149.1718.66427966497549.246232.313.111010.4626.1150804641612.5866.937203.48137.5413.617.79687440.34967.1251.99542.72255.88910.619.736250.7735.11779483.33413.7508.05170.46820.429689.3874972119.2114.49588.7417105.2412.37187498.146.36212.18312.5124.05313.7736.6919.889.612.073314840.7240.722.76210.846.39954.500.8314350817020737879124333920231115.610.53158.41182.4613.45153.001.032004.03208.455783110.39223480.4132012284318427189.891823238781012.602.1850.127670.8598835148.6518.74727820492579.157232.413.051010.4526.1150837441612.6267.532202.23437.6412.517.81387340.45367.0252.83542.83855.5318.2119.840250.8735.09983133.30513.6218.07870.07520.383687.9874368119.1514.30788.7900105.1752.36248496.816.25912.10812.3874.16313.8036.5719.939.572.072308540.8740.872.76210.916.40954.670.8334354089906737970547600928197415.635.79457.45596.4143.14366.462.209406.91410.871017618.10192981.0458724904784280111.73354797421478.713.3480.310891.4841429992.6525.239400446443215.429666.610.8827.813.0211.4552476111519.49100.021158.84896.01043.428.631137780.617167110.722101.44349.4014.448.968178.1786.191155898.01032.92611.81085.94549.091555.531823682.5126.45592.886392.2002.79174577.489.87622.73721.8294.69220.5045.0814.819.703.121609831.0031.023.12216.607.794221.241.06527644422463256688801572413535345.738.33571.65643.8147.47419.362.964098.95451.001260465.52553111.2679234852728193104.66501423212336.944.1660.352571.8611858384.2616.46353014863068.309369.19.5016.816.6717.794989865322.25125.003122.28256.7624.633.42588344.77999.8182.22263.41235.5259.6727.846140.5548.96288564.90720.21013.96257.10529.831447.5724577129.4217.059125.13969.8143.97119446.006.89713.00214.0753.53121.9341.0122.978.823.465369846.9746.413.81615.398.905243.501.24336156678200332158061231197293024.637.85565.96642.4349.15413.382.865428.89445.561165815.52350821.1788034967983900106.03507342075237.013.8990.331281.7291789981.3515.00248691812757.774366.19.6416.615.6918.393819165622.39117.177132.23256.8642.729.82586843.00199.9191.32163.64035.2339.2226.578160.3948.99489154.81219.76612.96253.79829.797474.7324323137.1516.554124.88674.6593.73141448.666.68112.74713.6713.40921.8939.5223.848.933.261312444.8545.053.58715.438.263252.481.14436339985457334414559471170241423.1OpenBenchmarking.org

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUpowerbalance_performanceperformance918273645SE +/- 0.01, N = 3SE +/- 0.15, N = 3SE +/- 0.13, N = 3SE +/- 0.45, N = 3SE +/- 0.66, N = 15SE +/- 0.61, N = 155.0610.4710.5335.7937.8538.331. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUpowerperformancebalance_performance120240360480600SE +/- 0.74, N = 3SE +/- 1.74, N = 4SE +/- 1.71, N = 5SE +/- 2.76, N = 3SE +/- 8.12, N = 3SE +/- 4.58, N = 379.16158.41160.23457.45565.96571.651. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUpowerperformancebalance_performance140280420560700SE +/- 0.12, N = 3SE +/- 2.47, N = 3SE +/- 2.20, N = 3SE +/- 0.37, N = 3SE +/- 6.26, N = 15SE +/- 4.76, N = 1390.94182.46183.53596.41642.43643.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUpowerbalance_performanceperformance1122334455SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.14, N = 3SE +/- 0.02, N = 3SE +/- 0.31, N = 15SE +/- 0.66, N = 36.9613.4113.4543.1447.4749.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUpowerbalance_performanceperformance90180270360450SE +/- 0.28, N = 3SE +/- 1.65, N = 4SE +/- 1.69, N = 4SE +/- 3.44, N = 3SE +/- 3.09, N = 15SE +/- 2.95, N = 373.90152.31153.00366.46413.38419.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OSPRay

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: gravity_spheres_volume/dim_512/ao/real_timepowerbalance_performanceperformance0.66691.33382.00072.66763.3345SE +/- 0.000394, N = 3SE +/- 0.007451, N = 3SE +/- 0.008908, N = 3SE +/- 0.014969, N = 3SE +/- 0.037530, N = 3SE +/- 0.033743, N = 30.5940431.0234801.0320002.2094002.8654202.964090

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUpowerbalance_performanceperformance3691215SE +/- 0.00, N = 3SE +/- 0.03, N = 12SE +/- 0.03, N = 10SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 31.924.024.036.918.898.951. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUpowerbalance_performanceperformance100200300400500SE +/- 0.09, N = 3SE +/- 2.69, N = 3SE +/- 2.62, N = 3SE +/- 0.98, N = 3SE +/- 3.93, N = 3SE +/- 5.33, N = 3102.14207.46208.45410.87445.56451.001. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

Apache Cassandra

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgOp/s, More Is BetterApache Cassandra 5.0Test: Writespowerbalance_performanceperformance30K60K90K120K150KSE +/- 213.34, N = 3SE +/- 378.89, N = 3SE +/- 771.81, N = 3SE +/- 1000.61, N = 5SE +/- 2144.17, N = 12SE +/- 1181.29, N = 12304215715857831101761116581126046

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.8.1Test: Boat - Acceleration: CPU-onlypowerperformancebalance_performance510152025SE +/- 0.298, N = 15SE +/- 0.099, N = 15SE +/- 0.097, N = 5SE +/- 0.045, N = 5SE +/- 0.020, N = 6SE +/- 0.027, N = 622.05110.39210.2838.1015.5255.523

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.

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Jythonpowerbalance_performanceperformance2K4K6K8K10KSE +/- 11.67, N = 3SE +/- 126.28, N = 15SE +/- 190.89, N = 15SE +/- 53.35, N = 3SE +/- 9.26, N = 5SE +/- 16.26, N = 5929853115082554823632348

NAMD

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0Input: ATPase with 327,506 Atomspowerbalance_performanceperformance0.28530.57060.85591.14121.4265SE +/- 0.00181, N = 3SE +/- 0.00158, N = 3SE +/- 0.00365, N = 3SE +/- 0.00028, N = 3SE +/- 0.01044, N = 3SE +/- 0.01005, N = 30.328950.412980.413201.045871.178801.26792

OpenSSL

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: ChaCha20-Poly1305powerbalance_performanceperformance7000M14000M21000M28000M35000MSE +/- 5055136.77, N = 3SE +/- 3227495.51, N = 3SE +/- 4547108.65, N = 3SE +/- 10785903.15, N = 3SE +/- 338601910.57, N = 3SE +/- 220117944.41, N = 3911206891712268776657122843184272490478428034852728193349679839001. OpenSSL 3.3.1 4 Jun 2024 (Library: OpenSSL 3.3.1 4 Jun 2024) - Additional Parameters: -engine qatengine -async_jobs 8

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Detection FP16 - Device: CPUpowerbalance_performanceperformance90180270360450SE +/- 0.45, N = 3SE +/- 2.69, N = 3SE +/- 2.36, N = 3SE +/- 1.44, N = 3SE +/- 1.79, N = 15SE +/- 1.62, N = 15394.68191.05189.89111.73106.03104.661. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

OpenSSL

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: ChaCha20powerbalance_performanceperformance11000M22000M33000M44000M55000MSE +/- 35107321.06, N = 3SE +/- 9589613.05, N = 3SE +/- 7054610.91, N = 3SE +/- 1670531.26, N = 3SE +/- 720213862.31, N = 3SE +/- 522990747.54, N = 31346549651018201466017182323878103547974214750142321233507342075231. OpenSSL 3.3.1 4 Jun 2024 (Library: OpenSSL 3.3.1 4 Jun 2024) - Additional Parameters: -engine qatengine -async_jobs 8

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Re-Identification Retail FP16 - Device: CPUpowerperformancebalance_performance612182430SE +/- 0.23, N = 3SE +/- 0.14, N = 4SE +/- 0.13, N = 5SE +/- 0.05, N = 3SE +/- 0.10, N = 3SE +/- 0.06, N = 325.1912.6012.458.717.016.941. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

IndigoBench

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

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Supercarpowerbalance_performanceperformance0.93741.87482.81223.74964.687SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.006, N = 3SE +/- 0.026, N = 14SE +/- 0.049, N = 151.1532.1842.1853.3483.8994.166

NAMD

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgns/day, More Is BetterNAMD 3.0Input: STMV with 1,066,628 Atomspowerbalance_performanceperformance0.07930.15860.23790.31720.3965SE +/- 0.00054, N = 3SE +/- 0.00044, N = 3SE +/- 0.00009, N = 3SE +/- 0.00089, N = 3SE +/- 0.00354, N = 4SE +/- 0.00444, N = 120.097770.126950.127670.310890.331280.35257

IndigoBench

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

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgM samples/s, More Is BetterIndigoBench 4.4Acceleration: CPU - Scene: Bedroompowerbalance_performanceperformance0.41870.83741.25611.67482.0935SE +/- 0.006, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.016, N = 15SE +/- 0.014, N = 150.5170.8580.8591.4841.7291.861

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgvsamples, More Is BetterChaos Group V-RAY 6.0Mode: CPUpowerperformancebalance_performance4K8K12K16K20KSE +/- 5.67, N = 3SE +/- 72.49, N = 3SE +/- 70.84, N = 3SE +/- 46.76, N = 3SE +/- 134.41, N = 3SE +/- 85.16, N = 3523388358874142991789918583

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Machine Translation EN To DE FP16 - Device: CPUpowerbalance_performanceperformance60120180240300SE +/- 3.38, N = 3SE +/- 1.85, N = 3SE +/- 1.52, N = 3SE +/- 0.06, N = 3SE +/- 0.53, N = 15SE +/- 1.09, N = 3287.34149.17148.6592.6584.2681.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.38Test: resizepowerperformancebalance_performance1122334455SE +/- 0.41, N = 3SE +/- 0.21, N = 15SE +/- 0.13, N = 15SE +/- 0.25, N = 6SE +/- 0.14, N = 3SE +/- 0.14, N = 447.8318.7518.6625.2416.4615.00

7-Zip Compression

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 24.05Test: Decompression Ratingpowerperformancebalance_performance11K22K33K44K55KSE +/- 39.02, N = 3SE +/- 730.02, N = 5SE +/- 919.21, N = 4SE +/- 30.10, N = 12SE +/- 244.23, N = 3SE +/- 94.96, N = 31668127820279664004448691530141. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 24.05Test: Compression Ratingpowerperformancebalance_performance20K40K60K80K100KSE +/- 345.38, N = 3SE +/- 550.10, N = 5SE +/- 615.69, N = 4SE +/- 449.06, N = 12SE +/- 568.72, N = 3SE +/- 552.90, N = 32827849257497546443281275863061. (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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Scalepowerbalance_performanceperformance612182430SE +/- 0.063, N = 3SE +/- 0.034, N = 5SE +/- 0.018, N = 5SE +/- 0.121, N = 4SE +/- 0.077, N = 6SE +/- 0.040, N = 623.5249.2469.15715.4298.3097.774

Selenium

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM collisionDetection - Browser: Firefoxpowerbalance_performanceperformance140280420560700SE +/- 8.81, N = 3SE +/- 10.71, N = 15SE +/- 11.41, N = 15SE +/- 0.87, N = 3SE +/- 0.46, N = 4SE +/- 0.58, N = 4666.6369.1366.1547.0232.4232.31. firefox 130.0

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Person Vehicle Bike Detection FP16 - Device: CPUpowerbalance_performanceperformance612182430SE +/- 0.10, N = 3SE +/- 0.14, N = 4SE +/- 0.14, N = 4SE +/- 0.10, N = 3SE +/- 0.07, N = 15SE +/- 0.07, N = 327.0013.1113.0510.889.649.501. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

PyPerformance

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: json_loadspowerbalance_performanceperformance714212835SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 327.816.816.624.010.010.0

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.6Video Input: Bosphorus 4Kpowerperformancebalance_performance48121620SE +/- 0.05, N = 15SE +/- 0.09, N = 7SE +/- 0.09, N = 8SE +/- 0.09, N = 15SE +/- 0.11, N = 3SE +/- 0.17, N = 46.0710.4510.4613.0215.6916.671. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Selenium

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Speedometer 3.0 - Browser: Firefoxpowerbalance_performanceperformance612182430SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.17, N = 15SE +/- 0.09, N = 39.5526.1026.1011.4017.7018.301. firefox 130.0

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.

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suitepowerperformancebalance_performance300K600K900K1200K1500KSE +/- 2215.85, N = 3SE +/- 2460.70, N = 3SE +/- 13149.10, N = 15SE +/- 607.33, N = 3SE +/- 5690.77, N = 4SE +/- 5781.48, N = 455247693819194989866916415080461508374

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.

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Timespowerperformancebalance_performance2004006008001000SE +/- 11.29, N = 3SE +/- 4.52, N = 4SE +/- 4.03, N = 4SE +/- 1.00, N = 3SE +/- 0.37, N = 5SE +/- 0.37, N = 51115656653924416416

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 16 - Model: ResNet-50powerbalance_performanceperformance510152025SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.06, N = 3SE +/- 0.00, N = 3SE +/- 0.18, N = 9SE +/- 0.19, N = 138.5012.5812.6219.4922.2522.39

SVT-AV1

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 13 - Input: Bosphorus 4Kpowerbalance_performanceperformance306090120150SE +/- 0.29, N = 3SE +/- 0.70, N = 3SE +/- 0.70, N = 4SE +/- 0.89, N = 12SE +/- 1.29, N = 12SE +/- 1.41, N = 1547.6466.9467.53100.02117.18125.001. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.8Build: defconfigpowerbalance_performanceperformance70140210280350SE +/- 1.32, N = 3SE +/- 0.25, N = 3SE +/- 0.08, N = 3SE +/- 1.15, N = 3SE +/- 1.26, N = 3SE +/- 1.16, N = 6316.00203.48202.23158.85132.23122.28

PyPerformance

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: crypto_pyaespowerperformancebalance_performance20406080100SE +/- 0.25, N = 3SE +/- 0.27, N = 3SE +/- 0.09, N = 3SE +/- 0.20, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 396.056.856.786.437.637.5

Selenium

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: Kraken - Browser: Firefoxpowerperformancebalance_performance2004006008001000SE +/- 4.36, N = 3SE +/- 0.79, N = 3SE +/- 0.43, N = 3SE +/- 0.84, N = 3SE +/- 0.97, N = 3SE +/- 13.24, N = 151044.4413.6412.51043.4642.7624.61. firefox 130.0

SVT-AV1

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 8 - Input: Bosphorus 4Kpowerbalance_performanceperformance816243240SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.26, N = 15SE +/- 0.36, N = 1513.2417.8017.8128.6329.8333.431. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Selenium

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgScore, Fewer Is BetterSeleniumBenchmark: PSPDFKit WASM - Browser: Firefoxpowerbalance_performanceperformance5001000150020002500SE +/- 19.86, N = 3SE +/- 6.80, N = 4SE +/- 5.19, N = 4SE +/- 4.84, N = 3SE +/- 9.68, N = 4SE +/- 1.19, N = 4216787487313778838681. firefox 130.0

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Rotate 90 Degreespowerbalance_performanceperformance20406080100SE +/- 0.23, N = 3SE +/- 0.01, N = 3SE +/- 0.29, N = 3SE +/- 0.91, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 3100.5940.4540.3580.6244.7843.00

PyPerformance

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: regex_compilepowerperformancebalance_performance4080120160200SE +/- 0.00, N = 3SE +/- 0.07, N = 3SE +/- 0.12, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3167.099.999.8156.067.167.0

Selenium

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgScore, More Is BetterSeleniumBenchmark: Jetstream 2 - Browser: Firefoxpowerbalance_performanceperformance60120180240300SE +/- 0.56, N = 3SE +/- 0.90, N = 3SE +/- 2.58, N = 3SE +/- 0.77, N = 3SE +/- 2.62, N = 3SE +/- 1.98, N = 12101.59252.00252.84110.72182.22191.321. firefox 130.0

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Pistolpowerperformancebalance_performance20406080100SE +/- 0.48, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 3SE +/- 0.64, N = 3SE +/- 0.03, N = 3SE +/- 0.59, N = 7106.2242.8442.72101.4463.6463.411. OpenSCAD version 2021.01

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Mesa Compilation 24.0Time To Compilepowerbalance_performanceperformance20406080100SE +/- 0.37, N = 3SE +/- 0.70, N = 4SE +/- 0.71, N = 3SE +/- 0.24, N = 3SE +/- 0.26, N = 11SE +/- 0.51, N = 387.5855.8955.5349.4035.5335.23

PyPerformance

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.11Benchmark: python_startuppowerbalance_performanceperformance510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 320.4010.608.2114.409.679.22

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.

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Reflectpowerbalance_performanceperformance1122334455SE +/- 0.45, N = 3SE +/- 0.22, N = 15SE +/- 0.24, N = 3SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 348.9727.8526.5845.8419.8419.74

Blender

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.2Blend File: BMW27 - Compute: CPU-Onlypowerperformancebalance_performance80160240320400SE +/- 1.74, N = 3SE +/- 1.13, N = 3SE +/- 0.78, N = 3SE +/- 0.11, N = 3SE +/- 2.88, N = 12SE +/- 0.68, N = 3348.36250.87250.77178.17160.39140.55

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.

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgSeconds, Fewer Is BetterGEGLOperation: Color Enhancepowerperformancebalance_performance20406080100SE +/- 0.72, N = 3SE +/- 0.57, N = 3SE +/- 0.47, N = 15SE +/- 0.18, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 386.1948.9948.9680.1035.1235.10

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Eclipsepowerperformancebalance_performance4K8K12K16K20KSE +/- 136.50, N = 3SE +/- 108.09, N = 15SE +/- 82.37, N = 3SE +/- 162.03, N = 3SE +/- 143.89, N = 15SE +/- 21.70, N = 319325831379481558989158856

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.

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Projector Mount Swivelpowerbalance_performanceperformance246810SE +/- 0.028, N = 6SE +/- 0.029, N = 7SE +/- 0.040, N = 9SE +/- 0.035, N = 6SE +/- 0.020, N = 15SE +/- 0.014, N = 98.0104.9074.8127.5613.3343.3051. OpenSCAD version 2021.01

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Leonardo Phone Case Slimpowerbalance_performanceperformance816243240SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.18, N = 15SE +/- 0.09, N = 3SE +/- 0.01, N = 4SE +/- 0.03, N = 432.9320.2119.7732.2913.7513.621. OpenSCAD version 2021.01

SVT-AV1

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 5 - Input: Bosphorus 4Kpowerbalance_performanceperformance48121620SE +/- 0.003, N = 3SE +/- 0.027, N = 3SE +/- 0.022, N = 3SE +/- 0.004, N = 3SE +/- 0.135, N = 5SE +/- 0.109, N = 105.7918.0518.07811.81012.96213.9621. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

RawTherapee

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

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterRawTherapeeTotal Benchmark Timepowerbalance_performanceperformance306090120150SE +/- 1.59, N = 12SE +/- 1.62, N = 12SE +/- 0.92, N = 15SE +/- 0.05, N = 3SE +/- 0.34, N = 3SE +/- 0.09, N = 3129.6370.4770.0885.9557.1153.801. RawTherapee, version 5.10, command line.

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.

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgSeconds, Fewer Is BetterOpenSCADRender: Mini-ITX Casepowerbalance_performanceperformance1122334455SE +/- 0.18, N = 3SE +/- 0.06, N = 3SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 349.0929.8329.8048.7420.4320.381. OpenSCAD version 2021.01

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Godot Game Engine Compilation 4.0Time To Compilepowerbalance_performanceperformance2004006008001000SE +/- 0.64, N = 3SE +/- 0.42, N = 3SE +/- 0.57, N = 3SE +/- 0.94, N = 3SE +/- 1.92, N = 3SE +/- 1.44, N = 31062.47689.39687.99555.53474.73447.57

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Tradebeanspowerbalance_performanceperformance2K4K6K8K10KSE +/- 91.28, N = 3SE +/- 87.80, N = 15SE +/- 19.46, N = 3SE +/- 162.76, N = 15SE +/- 12.39, N = 3SE +/- 37.59, N = 71022449724368823645774323

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Livepowerperformancebalance_performance306090120150SE +/- 0.40, N = 3SE +/- 1.61, N = 3SE +/- 1.23, N = 3SE +/- 0.04, N = 3SE +/- 0.20, N = 3SE +/- 1.45, N = 358.06119.15119.2182.51129.42137.151. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.38Test: unsharp-maskpowerbalance_performanceperformance816243240SE +/- 0.24, N = 3SE +/- 0.08, N = 4SE +/- 0.01, N = 4SE +/- 0.19, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 333.7714.5014.3126.4617.0616.55

OSPRay

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: particle_volume/pathtracer/real_timepowerbalance_performanceperformance306090120150SE +/- 0.48, N = 12SE +/- 0.24, N = 3SE +/- 0.11, N = 3SE +/- 0.07, N = 3SE +/- 0.95, N = 3SE +/- 1.30, N = 553.1488.7488.7992.89124.89125.14

Timed FFmpeg Compilation

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

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 7.0Time To Compilepowerbalance_performanceperformance4080120160200SE +/- 0.06, N = 3SE +/- 1.14, N = 3SE +/- 0.97, N = 3SE +/- 0.11, N = 3SE +/- 0.76, N = 15SE +/- 0.72, N = 13163.31105.24105.1892.2074.6669.81

OSPRay

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgItems Per Second, More Is BetterOSPRay 3.2Benchmark: particle_volume/ao/real_timepowerperformancebalance_performance0.89351.7872.68053.5744.4675SE +/- 0.00590, N = 3SE +/- 0.01305, N = 3SE +/- 0.00393, N = 3SE +/- 0.00036, N = 3SE +/- 0.00571, N = 3SE +/- 0.04721, N = 41.698762.362482.371872.791743.731413.97119

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Face Detection FP16-INT8 - Device: CPUpowerbalance_performanceperformance2004006008001000SE +/- 0.50, N = 3SE +/- 3.12, N = 12SE +/- 3.60, N = 10SE +/- 1.64, N = 3SE +/- 1.68, N = 3SE +/- 1.64, N = 31041.16498.14496.81577.48448.66446.001. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterGNU Octave Benchmark 9.2.0powerbalance_performanceperformance48121620SE +/- 0.080, N = 5SE +/- 0.028, N = 6SE +/- 0.020, N = 7SE +/- 0.072, N = 5SE +/- 0.016, N = 6SE +/- 0.056, N = 814.5946.3626.2599.8766.8976.681

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.38Test: rotatepowerbalance_performanceperformance714212835SE +/- 0.04, N = 3SE +/- 0.02, N = 4SE +/- 0.02, N = 4SE +/- 0.11, N = 3SE +/- 0.02, N = 4SE +/- 0.01, N = 428.0412.1812.1122.7413.0012.75

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterGIMP 2.10.38Test: auto-levelspowerbalance_performanceperformance714212835SE +/- 0.04, N = 3SE +/- 0.03, N = 4SE +/- 0.02, N = 4SE +/- 0.02, N = 3SE +/- 0.03, N = 4SE +/- 0.02, N = 428.5312.5112.3921.8314.0813.67

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 4.8.1Test: Masskrug - Acceleration: CPU-onlypowerperformancebalance_performance246810SE +/- 0.037, N = 5SE +/- 0.108, N = 15SE +/- 0.037, N = 7SE +/- 0.011, N = 6SE +/- 0.018, N = 8SE +/- 0.009, N = 87.8524.1634.0534.6923.5313.409

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.16.1Device: CPU - Batch Size: 64 - Model: ResNet-50powerbalance_performanceperformance510152025SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 39.5413.7713.8020.5021.8921.93

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUpowerbalance_performanceperformance20406080100SE +/- 0.06, N = 3SE +/- 0.48, N = 3SE +/- 0.48, N = 3SE +/- 0.06, N = 3SE +/- 0.33, N = 15SE +/- 0.38, N = 381.2036.6936.5745.0841.0139.521. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Uploadpowerbalance_performanceperformance612182430SE +/- 0.10, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 310.7419.8819.9314.8122.9723.841. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Vehicle Detection FP16-INT8 - Device: CPUpowerbalance_performanceperformance510152025SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 319.499.619.579.708.938.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

SVT-AV1

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 2.2Encoder Mode: Preset 3 - Input: Bosphorus 4Kpowerperformancebalance_performance0.77961.55922.33883.11843.898SE +/- 0.002, N = 3SE +/- 0.006, N = 3SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.021, N = 3SE +/- 0.020, N = 31.5872.0722.0733.1213.2613.4651. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Tradesoappowerbalance_performanceperformance14002800420056007000SE +/- 85.87, N = 3SE +/- 35.57, N = 3SE +/- 33.49, N = 3SE +/- 35.56, N = 3SE +/- 24.35, N = 14SE +/- 14.66, N = 3666031483085609836983124

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Video On Demandpowerbalance_performanceperformance1122334455SE +/- 0.08, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 3SE +/- 0.00, N = 3SE +/- 0.54, N = 4SE +/- 0.40, N = 822.6240.7240.8731.0044.8546.971. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterFFmpeg 7.0Encoder: libx265 - Scenario: Platformpowerbalance_performanceperformance1122334455SE +/- 0.20, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.54, N = 11SE +/- 0.35, N = 1122.5540.7240.8731.0245.0546.411. (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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: Fastpowerbalance_performanceperformance0.85861.71722.57583.43444.293SE +/- 0.002, N = 3SE +/- 0.005, N = 3SE +/- 0.009, N = 3SE +/- 0.011, N = 3SE +/- 0.035, N = 6SE +/- 0.033, N = 81.8662.7622.7623.1223.5873.8161. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.0Model: Noise Suppression Poconet-Like FP16 - Device: CPUpowerperformancebalance_performance510152025SE +/- 0.03, N = 3SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.01, N = 3SE +/- 0.16, N = 15SE +/- 0.12, N = 1321.8710.9110.8416.6015.4315.391. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFrames Per Second, More Is BetterVVenC 1.11Video Input: Bosphorus 4K - Video Preset: Fasterpowerbalance_performanceperformance246810SE +/- 0.004, N = 3SE +/- 0.087, N = 3SE +/- 0.068, N = 3SE +/- 0.013, N = 3SE +/- 0.090, N = 5SE +/- 0.065, N = 154.4336.3996.4097.7948.2638.9051. (CXX) g++ options: -O3 -flto=auto -fno-fat-lto-objects

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.0Model: Handwritten English Recognition FP16-INT8 - Device: CPUpowerbalance_performanceperformance60120180240300SE +/- 0.02, N = 3SE +/- 0.72, N = 3SE +/- 0.73, N = 3SE +/- 0.27, N = 3SE +/- 1.98, N = 15SE +/- 2.39, N = 324.6054.5054.67221.24243.50252.481. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl

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.

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2024Implementation: MPI CPU - Input: water_GMX50_barepowerbalance_performanceperformance0.27970.55940.83911.11881.3985SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.012, N = 3SE +/- 0.014, N = 30.7120.8310.8331.0651.1441.2431. (CXX) g++ options: -O3 -lm

OpenSSL

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-128-GCMpowerbalance_performanceperformance9000M18000M27000M36000M45000MSE +/- 1465585.19, N = 3SE +/- 367759781.21, N = 5SE +/- 335315848.56, N = 7SE +/- 27127512.01, N = 3SE +/- 12884947.14, N = 3SE +/- 43257209.64, N = 32764442246336156678200363399854573665895492343508170207435408990671. OpenSSL 3.3.1 4 Jun 2024 (Library: OpenSSL 3.3.1 4 Jun 2024) - Additional Parameters: -engine qatengine -async_jobs 8

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-256-GCMpowerbalance_performanceperformance8000M16000M24000M32000M40000MSE +/- 8629734.66, N = 3SE +/- 276741096.33, N = 3SE +/- 424932749.56, N = 3SE +/- 49523049.67, N = 3SE +/- 32994880.44, N = 3SE +/- 25828566.10, N = 32566888015733215806123334414559473108390757337879124333379705476001. OpenSSL 3.3.1 4 Jun 2024 (Library: OpenSSL 3.3.1 4 Jun 2024) - Additional Parameters: -engine qatengine -async_jobs 8

CPU Temperature Monitor

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgCelsiusCPU Temperature MonitorPhoronix Test Suite System Monitoringbalance_performanceperformancepower20406080100Min: 44.13 / Avg: 70.53 / Max: 88.13Min: 40.13 / Avg: 69.48 / Max: 87.38Min: 38.88 / Avg: 58.59 / Max: 70.63Min: 32 / Avg: 64.89 / Max: 88Min: 37 / Avg: 64.71 / Max: 88Min: 31 / Avg: 48.45 / Max: 60

CPU Power Consumption Monitor

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgWattsCPU Power Consumption MonitorPhoronix Test Suite System Monitoringbalance_performanceperformancepower714212835Min: 1.27 / Avg: 19.09 / Max: 34.08Min: 1.59 / Avg: 18.21 / Max: 33.92Min: 1 / Avg: 13.31 / Max: 24.47Min: 0.1 / Avg: 15.75 / Max: 28.53Min: 0.07 / Avg: 15.56 / Max: 28.57Min: 0.05 / Avg: 7.76 / Max: 15.85

CPU Peak Freq (Highest CPU Core Frequency) Monitor

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgMegahertzCPU Peak Freq (Highest CPU Core Frequency) MonitorPhoronix Test Suite System Monitoringperformancebalance_performancepower8001600240032004000Min: 1839 / Avg: 3222.22 / Max: 4447Min: 2000 / Avg: 3110.89 / Max: 4321Min: 599 / Avg: 1951.13 / Max: 2183Min: 400 / Avg: 3147.4 / Max: 4802Min: 400 / Avg: 3016.36 / Max: 4800Min: 400 / Avg: 1999.34 / Max: 3299

DaCapo Benchmark

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 23.11CPU Temperature Monitorperformancebalance_performancepower1428425670Min: 50.25 / Avg: 59.77 / Max: 66.25Min: 45.88 / Avg: 55.51 / Max: 62.38Min: 45.13 / Avg: 46.94 / Max: 49.63Min: 43 / Avg: 53.16 / Max: 72Min: 42 / Avg: 51.62 / Max: 72Min: 35 / Avg: 38.26 / Max: 42

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 23.11CPU Power Consumption Monitorperformancebalance_performancepower714212835Min: 2.97 / Avg: 9.75 / Max: 31.14Min: 2.5 / Avg: 8.49 / Max: 28.05Min: 2.45 / Avg: 5.15 / Max: 13.41Min: 0.36 / Avg: 9.57 / Max: 27.32Min: 0.24 / Avg: 9.41 / Max: 24.95Min: 0.07 / Avg: 2.66 / Max: 6.64

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgMegahertz, More Is BetterDaCapo Benchmark 23.11CPU Peak Freq (Highest CPU Core Frequency) Monitorpowerbalance_performanceperformance8001600240032004000Min: 400 / Avg: 1626 / Max: 2996Min: 400 / Avg: 2763.97 / Max: 4800Min: 400 / Avg: 3171.33 / Max: 4800Min: 599 / Avg: 1800.2 / Max: 2004Min: 2000 / Avg: 2934.11 / Max: 4295Min: 2000 / Avg: 3830.64 / Max: 4300

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Batik SVG Toolkitpowerbalance_performanceperformance5001000150020002500SE +/- 55.49, N = 15SE +/- 35.74, N = 15SE +/- 34.04, N = 15SE +/- 22.68, N = 15SE +/- 5.12, N = 8SE +/- 2.74, N = 82413119711702321928920

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgCelsius, Fewer Is BetterDaCapo Benchmark 23.11CPU Temperature Monitorperformancebalance_performancepower1326395265Min: 51.5 / Avg: 58.76 / Max: 62.38Min: 48.5 / Avg: 51.82 / Max: 54Min: 45.75 / Avg: 47.13 / Max: 48.25Min: 48 / Avg: 55.49 / Max: 66Min: 46 / Avg: 53.11 / Max: 65Min: 38 / Avg: 40.33 / Max: 41

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgWatts, Fewer Is BetterDaCapo Benchmark 23.11CPU Power Consumption Monitorperformancebalance_performancepower510152025Min: 2.91 / Avg: 10.57 / Max: 18.85Min: 2.51 / Avg: 6.83 / Max: 11.19Min: 2.44 / Avg: 5.04 / Max: 7.28Min: 0.51 / Avg: 9.6 / Max: 18.85Min: 0.17 / Avg: 8.37 / Max: 17.24Min: 0.1 / Avg: 3.06 / Max: 4.36

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgMegahertz, More Is BetterDaCapo Benchmark 23.11CPU Peak Freq (Highest CPU Core Frequency) Monitorpowerbalance_performanceperformance8001600240032004000Min: 400 / Avg: 1654.89 / Max: 2301Min: 400 / Avg: 2691.63 / Max: 4699Min: 400 / Avg: 3157.41 / Max: 4542Min: 599 / Avg: 1878.06 / Max: 1997Min: 2000 / Avg: 2999.06 / Max: 3556Min: 2000 / Avg: 3970.42 / Max: 4314

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgmsec, Fewer Is BetterDaCapo Benchmark 23.11Java Test: Avrora AVR Simulation Frameworkpowerbalance_performanceperformance11002200330044005500SE +/- 87.82, N = 15SE +/- 88.21, N = 15SE +/- 72.62, N = 15SE +/- 44.83, N = 4SE +/- 48.99, N = 15SE +/- 35.61, N = 12535329302414400523111974

Selenium

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgCelsius, Fewer Is BetterSeleniumCPU Temperature Monitorperformancebalance_performancepower1224364860Min: 46 / Avg: 52.77 / Max: 59.38Min: 44.5 / Avg: 50.23 / Max: 57.5Min: 43.38 / Avg: 44.21 / Max: 46.13Min: 41 / Avg: 46.58 / Max: 57Min: 42 / Avg: 44.74 / Max: 54Min: 35 / Avg: 35.08 / Max: 36

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgWatts, Fewer Is BetterSeleniumCPU Power Consumption Monitorperformancebalance_performancepower510152025Min: 3.02 / Avg: 6.93 / Max: 13.65Min: 2.58 / Avg: 5.94 / Max: 13.2Min: 2.53 / Avg: 4.37 / Max: 6.67Min: 0.8 / Avg: 6.67 / Max: 18.85Min: 0.16 / Avg: 6.16 / Max: 20.4Min: 0.08 / Avg: 2.01 / Max: 4.1

Core Ultra 7 256VRyzen AI 9 365OpenBenchmarking.orgMegahertz, More Is BetterSeleniumCPU Peak Freq (Highest CPU Core Frequency) Monitorpowerbalance_performanceperformance8001600240032004000Min: 400 / Avg: 1366.08 / Max: 2000Min: 400 / Avg: 2265.48 / Max: 4786Min: 400 / Avg: 2911.91 / Max: 4790Min: 599 / Avg: 1864.76 / Max: 2057Min: 2000 / Avg: 2751.48 / Max: 4300Min: 2000 / Avg: 3891.84 / Max: 4306

Ryzen AI 9 365Core Ultra 7 256VOpenBenchmarking.orgms, Fewer Is BetterSeleniumBenchmark: WASM imageConvolute - Browser: Firefoxpowerbalance_performanceperformance1020304050SE +/- 1.02, N = 15SE +/- 1.07, N = 15SE +/- 0.81, N = 15SE +/- 0.17, N = 4SE +/- 0.02, N = 6SE +/- 0.02, N = 645.724.623.138.015.615.61. firefox 130.0

96 Results Shown

OpenVINO:
  Person Detection FP16 - CPU
  Person Re-Identification Retail FP16 - CPU
  Noise Suppression Poconet-Like FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Person Vehicle Bike Detection FP16 - CPU
OSPRay
OpenVINO:
  Face Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
Apache Cassandra
Darktable
DaCapo Benchmark
NAMD
OpenSSL
OpenVINO
OpenSSL
OpenVINO
IndigoBench
NAMD
IndigoBench
Chaos Group V-RAY
OpenVINO
GIMP
7-Zip Compression:
  Decompression Rating
  Compression Rating
GEGL
Selenium
OpenVINO
PyPerformance
x265
Selenium
PHPBench
PyBench
TensorFlow
SVT-AV1
Timed Linux Kernel Compilation
PyPerformance
Selenium
SVT-AV1
Selenium
GEGL
PyPerformance
Selenium
OpenSCAD
Timed Mesa Compilation
PyPerformance
GEGL
Blender
GEGL
DaCapo Benchmark
OpenSCAD:
  Projector Mount Swivel
  Leonardo Phone Case Slim
SVT-AV1
RawTherapee
OpenSCAD
Timed Godot Game Engine Compilation
DaCapo Benchmark
FFmpeg
GIMP
OSPRay
Timed FFmpeg Compilation
OSPRay
OpenVINO
GNU Octave Benchmark
GIMP:
  rotate
  auto-levels
Darktable
TensorFlow
OpenVINO
FFmpeg
OpenVINO
SVT-AV1
DaCapo Benchmark
FFmpeg:
  libx265 - Video On Demand
  libx265 - Platform
VVenC
OpenVINO
VVenC
OpenVINO
GROMACS
OpenSSL:
  AES-128-GCM
  AES-256-GCM
CPU Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
    Megahertz
  CPU Temp Monitor:
    Celsius
  CPU Power Consumption Monitor:
    Watts
  CPU Peak Freq (Highest CPU Core Frequency) Monitor:
    Megahertz
DaCapo Benchmark
DaCapo Benchmark:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
DaCapo Benchmark
Selenium:
  CPU Temp Monitor
  CPU Power Consumption Monitor
  CPU Peak Freq (Highest CPU Core Frequency) Monitor
Selenium