new-sun

Intel Core Ultra 9 285K testing with a ASUS ROG MAXIMUS Z890 HERO (0806 BIOS) and ASUS NVIDIA GeForce RTX 4070 Ti SUPER 16GB on Ubuntu 24.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2411250-PTS-NEWSUN2905
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November 25
  48 Minutes
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November 25
  5 Hours, 58 Minutes
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November 25
  1 Hour, 55 Minutes
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new-sun OpenBenchmarking.orgPhoronix Test SuiteIntel Core Ultra 9 285K @ 5.10GHz (24 Cores)ASUS ROG MAXIMUS Z890 HERO (0806 BIOS)Intel Device ae7f2 x 16GB DDR5-6400MT/s Micron CP16G64C38U5B.M8D14001GB Western Digital WD_BLACK SN850X 4000GB + 1000GB Western Digital WDS100T1X0E-00AFY0ASUS NVIDIA GeForce RTX 4070 Ti SUPER 16GBIntel Device 7f50ASUS VP28URealtek Device 8126 + Intel I226-V + Intel Wi-Fi 7Ubuntu 24.106.11.0-9-generic (x86_64)GNOME Shell 47.0X Server 1.21.1.13NVIDIA 565.57.014.6.0OpenCL 3.0 CUDA 12.7.33GCC 14.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionNew-sun BenchmarksSystem Logs- nouveau.modeset=0 - Transparent Huge Pages: madvise- --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 - Scaling Governor: intel_pstate performance (EPP: default) - CPU Microcode: 0x110 - Thermald 2.5.8- BAR1 / Visible vRAM Size: 16384 MiB - vBIOS Version: 95.03.45.00.9c- OpenJDK Runtime Environment (build 21.0.5+11-Ubuntu-1ubuntu124.10)- Python 3.12.7- 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

aaabcResult OverviewPhoronix Test Suite100%100%101%101%102%PrimesieveRenaissanceBlendervkpeak

new-sun renaissance: Scala Dottyrenaissance: Rand Forestrenaissance: ALS Movie Lensrenaissance: Apache Spark Bayesrenaissance: Savina Reactors.IOrenaissance: Apache Spark PageRankrenaissance: Finagle HTTP Requestsrenaissance: Gaussian Mixture Modelrenaissance: In-Memory Database Shootoutrenaissance: Akka Unbalanced Cobwebbed Treerenaissance: Genetic Algorithm Using Jenetics + Futuresopenvino-genai: Gemma-7b-int4-ov - CPUopenvino-genai: TinyLlama-1.1B-Chat-v1.0 - CPUopenvino-genai: Falcon-7b-instruct-int4-ov - CPUopenvino-genai: Phi-3-mini-128k-instruct-int4-ov - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Face Detection Retail FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Road Segmentation ADAS FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Face Detection Retail FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Road Segmentation ADAS FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Noise Suppression Poconet-Like FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Handwritten English Recognition FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Person Re-Identification Retail FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Handwritten English Recognition FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUprimesieve: 1e12primesieve: 1e13blender: BMW27 - CPU-Onlyblender: Junkshop - CPU-Onlyblender: Classroom - CPU-Onlyblender: Fishy Cat - CPU-Onlyblender: BMW27 - NVIDIA CUDAblender: BMW27 - NVIDIA OptiXblender: Barbershop - CPU-Onlyblender: Junkshop - NVIDIA CUDAblender: Classroom - NVIDIA CUDAblender: Fishy Cat - NVIDIA CUDAblender: Junkshop - NVIDIA OptiXblender: Barbershop - NVIDIA CUDAblender: Classroom - NVIDIA OptiXblender: Fishy Cat - NVIDIA OptiXblender: Barbershop - NVIDIA OptiXblender: Pabellon Barcelona - CPU-Onlyblender: Pabellon Barcelona - NVIDIA CUDAblender: Pabellon Barcelona - NVIDIA OptiXvkpeak: fp32-scalarvkpeak: fp32-vec4vkpeak: fp16-scalarvkpeak: fp16-vec4vkpeak: fp64-scalarvkpeak: fp64-vec4vkpeak: int32-scalarvkpeak: int32-vec4vkpeak: int16-scalarvkpeak: int16-vec4openvino-genai: Gemma-7b-int4-ov - CPU - Time To First Tokenopenvino-genai: Gemma-7b-int4-ov - CPU - Time Per Output Tokenopenvino-genai: TinyLlama-1.1B-Chat-v1.0 - CPU - Time To First Tokenopenvino-genai: TinyLlama-1.1B-Chat-v1.0 - CPU - Time Per Output Tokenopenvino-genai: Falcon-7b-instruct-int4-ov - CPU - Time To First Tokenopenvino-genai: Falcon-7b-instruct-int4-ov - CPU - Time Per Output Tokenopenvino-genai: Phi-3-mini-128k-instruct-int4-ov - CPU - Time To First Tokenopenvino-genai: Phi-3-mini-128k-instruct-int4-ov - CPU - Time Per Output Tokenaaabc356.7393.18326.4353.23855.62218.61046.33761.73005.73472.9695.76.63786.40648.6470.06139.6374.4623473.430993.1723384.1126846.85735.97735.9223401.323392.4615292.5517140.62374.1391.28417.6345.63802.02191.91043.03748.32990.03503.8699.314.1037.6420.7027.486.51915.4950.64118.3450.43118.80450.0313.2723.69252.761760.283.33167.5435.761239.774.78648.9624.522922.031.96488.5812.2179.9974.912429.206.48802.607.43961.0116.44321.9849.66967.786.1115086.160.96379.6042.1139936.100.356.78387.49949.3269.93140.0774.798.935.18511.9215.3216.9216.989.8069.3411.778.7847.02166.8237.4613.0023465.9230988.0023411.5726874.59735.77735.9523383.5223363.1915286.1617127.56348.7570.9437.7626.5787.6148.30139.5736.39380.1395.18354.2352.13820.32158.41011.83722.93052.03514.0695.314.1837.6720.6927.616.52913.6650.78118.0150.44118.83451.3813.2423.82251.231754.473.34167.2235.821243.814.77649.8324.52943.911.95491.6812.1380.1774.762437.826.47801.357.44959.7416.46322.5449.57969.676.115058.20.96378.8442.240039.830.356.65486.82649.1870.11140.274.748.915.17512.0215.3216.9516.979.7470.1511.928.7746.95166.4137.4313.0223476.7430992.0523384.2326846.25735.98735.9223364.423347.4515280.3217139.21308.9170.537.6126.5587.5648.33123.1336.22372.1397.38459.8343.93899.92209.41060.13739.43085.33542.8698.614.1837.6720.7227.526.55911.0651.07117.350.56118.47449.6713.2923.77251.71754.473.34166.2736.021249.454.75651.5924.423021.511.9491.3512.1380.5974.362441.916.45798.327.47963.5316.4323.149.48972.156.0815355.430.94380.9241.9740787.250.346.62686.55448.8269.93139.574.398.895.21505.7315.2916.9516.969.7469.1111.768.7846.9166.1137.4312.9823478.3830990.9623381.8826846.89735.59735.8223345.2623345.1115299.2417137.18295.6470.537.4126.5587.1648.25121.9636.34OpenBenchmarking.org

Renaissance

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: Scala Dottyaaabc80160240320400SE +/- 4.82, N = 15356.7374.1380.1372.1MIN: 314.79 / MAX: 572.12MIN: 310.63 / MAX: 579.42MIN: 311.26 / MAX: 564.35MIN: 328.33 / MAX: 541.75

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: Random Forestaaabc90180270360450SE +/- 4.00, N = 3393.1391.2395.1397.3MIN: 348.04 / MAX: 437.69MIN: 339.52 / MAX: 449.68MIN: 343.19 / MAX: 463.11MIN: 359.4 / MAX: 454.67

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: ALS Movie Lensaaabc2K4K6K8K10KSE +/- 72.41, N = 38326.48417.68354.28459.8MIN: 7832.53 / MAX: 8748.58MIN: 7832.38 / MAX: 8701.39MIN: 7901.13 / MAX: 8415.78MIN: 8160.64 / MAX: 8649.1

Test: Apache Spark ALS

a: The test quit with a non-zero exit status.

aa: The test quit with a non-zero exit status.

b: The test quit with a non-zero exit status.

c: The test quit with a non-zero exit status.

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: Apache Spark Bayesaaabc80160240320400SE +/- 2.29, N = 3353.2345.6352.1343.9MIN: 330.84 / MAX: 398.86MIN: 330.79 / MAX: 376.95MIN: 332.91 / MAX: 374.03MIN: 331.51 / MAX: 372.63

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: Savina Reactors.IOaaabc8001600240032004000SE +/- 8.00, N = 33855.63802.03820.33899.9MIN: 3855.59 / MAX: 5136.5MIN: 3792.83 / MAX: 5101.04MAX: 4954.7MAX: 5066.66

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: Apache Spark PageRankaaabc5001000150020002500SE +/- 10.75, N = 32218.62191.92158.42209.4MIN: 1633.15MIN: 1595.5 / MAX: 2209.7MIN: 1595.87 / MAX: 2158.42MIN: 1619.41

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: Finagle HTTP Requestsaaabc2004006008001000SE +/- 12.36, N = 31046.31043.01011.81060.1MIN: 970.98 / MAX: 1047.12MIN: 947.76 / MAX: 1063.57MIN: 958.73 / MAX: 1028.7MIN: 966.02 / MAX: 1072.83

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: Gaussian Mixture Modelaaabc8001600240032004000SE +/- 17.46, N = 33761.73748.33722.93739.4MIN: 2716.5 / MAX: 3761.71MIN: 2645.79 / MAX: 3781.01MIN: 2677.26 / MAX: 3722.94MIN: 2686.88 / MAX: 3739.42

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: In-Memory Database Shootoutaaabc7001400210028003500SE +/- 34.58, N = 43005.72990.03052.03085.3MIN: 2879.35 / MAX: 3300.02MIN: 2681.96 / MAX: 3324.34MIN: 2934.84 / MAX: 3173.17MIN: 2964.43 / MAX: 3292.26

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: Akka Unbalanced Cobwebbed Treeaaabc8001600240032004000SE +/- 14.16, N = 33472.93503.83514.03542.8MAX: 4304.43MIN: 3475.86 / MAX: 4427.25MIN: 3513.99 / MAX: 4408.04MAX: 4342.51

OpenBenchmarking.orgms, Fewer Is BetterRenaissance 0.16Test: Genetic Algorithm Using Jenetics + Futuresaaabc150300450600750SE +/- 2.18, N = 3695.7699.3695.3698.6MIN: 678.55 / MAX: 727.82MIN: 680.86 / MAX: 729.65MIN: 679.26 / MAX: 721.02MIN: 686.88 / MAX: 715.07

OpenVINO GenAI

OpenBenchmarking.orgtokens/s, More Is BetterOpenVINO GenAI 2024.5Model: Gemma-7b-int4-ov - Device: CPUaabc48121620SE +/- 0.02, N = 314.1014.1814.18

OpenBenchmarking.orgtokens/s, More Is BetterOpenVINO GenAI 2024.5Model: TinyLlama-1.1B-Chat-v1.0 - Device: CPUaabc918273645SE +/- 0.01, N = 337.6437.6737.67

OpenBenchmarking.orgtokens/s, More Is BetterOpenVINO GenAI 2024.5Model: Falcon-7b-instruct-int4-ov - Device: CPUaabc510152025SE +/- 0.02, N = 320.7020.6920.72

OpenBenchmarking.orgtokens/s, More Is BetterOpenVINO GenAI 2024.5Model: Phi-3-mini-128k-instruct-int4-ov - Device: CPUaabc612182430SE +/- 0.04, N = 327.4827.6127.52

OpenVINO

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Face Detection FP16 - Device: CPUaabc246810SE +/- 0.03, N = 36.516.526.551. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Face Detection FP16 - Device: CPUaabc2004006008001000SE +/- 3.02, N = 3915.49913.66911.06MIN: 627.29 / MAX: 1324.9MIN: 624.01 / MAX: 1326.84MIN: 624.05 / MAX: 1319.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Person Detection FP16 - Device: CPUaabc1224364860SE +/- 0.04, N = 350.6450.7851.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Person Detection FP16 - Device: CPUaabc306090120150SE +/- 0.09, N = 3118.34118.01117.30MIN: 61.51 / MAX: 185.26MIN: 65.25 / MAX: 177.75MIN: 61.85 / MAX: 184.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Person Detection FP32 - Device: CPUaabc1122334455SE +/- 0.06, N = 350.4350.4450.561. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Person Detection FP32 - Device: CPUaabc306090120150SE +/- 0.13, N = 3118.80118.83118.47MIN: 60.56 / MAX: 183.24MIN: 61.78 / MAX: 181.12MIN: 60.72 / MAX: 182.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Vehicle Detection FP16 - Device: CPUaabc100200300400500SE +/- 0.62, N = 3450.03451.38449.671. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Vehicle Detection FP16 - Device: CPUaabc3691215SE +/- 0.02, N = 313.2713.2413.29MIN: 6.33 / MAX: 29.46MIN: 6.36 / MAX: 26.02MIN: 6.36 / MAX: 24.821. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Face Detection FP16-INT8 - Device: CPUaabc612182430SE +/- 0.07, N = 323.6923.8223.771. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Face Detection FP16-INT8 - Device: CPUaabc60120180240300SE +/- 0.70, N = 3252.76251.23251.70MIN: 162.35 / MAX: 383.62MIN: 164.3 / MAX: 390.35MIN: 159.88 / MAX: 505.021. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Face Detection Retail FP16 - Device: CPUaabc400800120016002000SE +/- 0.98, N = 31760.281754.471754.471. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Face Detection Retail FP16 - Device: CPUaabc0.75151.5032.25453.0063.7575SE +/- 0.00, N = 33.333.343.34MIN: 2.03 / MAX: 17.62MIN: 2.03 / MAX: 10.68MIN: 2.03 / MAX: 10.571. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Road Segmentation ADAS FP16 - Device: CPUaabc4080120160200SE +/- 0.10, N = 3167.54167.22166.271. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Road Segmentation ADAS FP16 - Device: CPUaabc816243240SE +/- 0.02, N = 335.7635.8236.02MIN: 13.85 / MAX: 68.74MIN: 14.06 / MAX: 65.07MIN: 14 / MAX: 64.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Vehicle Detection FP16-INT8 - Device: CPUaabc30060090012001500SE +/- 4.93, N = 31239.771243.811249.451. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Vehicle Detection FP16-INT8 - Device: CPUaabc1.07552.1513.22654.3025.3775SE +/- 0.02, N = 34.784.774.75MIN: 2.72 / MAX: 19.75MIN: 2.73 / MAX: 14.77MIN: 2.72 / MAX: 13.931. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Weld Porosity Detection FP16 - Device: CPUaabc140280420560700SE +/- 0.78, N = 3648.96649.83651.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Weld Porosity Detection FP16 - Device: CPUaabc612182430SE +/- 0.02, N = 324.5224.5024.42MIN: 18.82 / MAX: 39.72MIN: 18.99 / MAX: 38.98MIN: 18.97 / MAX: 42.611. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Face Detection Retail FP16-INT8 - Device: CPUaabc6001200180024003000SE +/- 1.66, N = 32922.032943.913021.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Face Detection Retail FP16-INT8 - Device: CPUaabc0.4410.8821.3231.7642.205SE +/- 0.00, N = 31.961.951.90MIN: 1.03 / MAX: 13.23MIN: 1.03 / MAX: 8.64MIN: 1.03 / MAX: 8.091. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Road Segmentation ADAS FP16-INT8 - Device: CPUaabc110220330440550SE +/- 1.99, N = 3488.58491.68491.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Road Segmentation ADAS FP16-INT8 - Device: CPUaabc3691215SE +/- 0.05, N = 312.2112.1312.13MIN: 7.15 / MAX: 34.14MIN: 7.17 / MAX: 30.85MIN: 7.17 / MAX: 30.121. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Machine Translation EN To DE FP16 - Device: CPUaabc20406080100SE +/- 0.11, N = 379.9980.1780.591. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Machine Translation EN To DE FP16 - Device: CPUaabc20406080100SE +/- 0.10, N = 374.9174.7674.36MIN: 47.45 / MAX: 125.1MIN: 47.89 / MAX: 124.4MIN: 47.32 / MAX: 118.581. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Weld Porosity Detection FP16-INT8 - Device: CPUaabc5001000150020002500SE +/- 2.42, N = 32429.202437.822441.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Weld Porosity Detection FP16-INT8 - Device: CPUaabc246810SE +/- 0.01, N = 36.486.476.45MIN: 4.94 / MAX: 20.98MIN: 4.93 / MAX: 19.26MIN: 4.94 / MAX: 15.491. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Person Vehicle Bike Detection FP16 - Device: CPUaabc2004006008001000SE +/- 1.01, N = 3802.60801.35798.321. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Person Vehicle Bike Detection FP16 - Device: CPUaabc246810SE +/- 0.01, N = 37.437.447.47MIN: 4.78 / MAX: 22.13MIN: 4.83 / MAX: 16.13MIN: 4.79 / MAX: 16.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Noise Suppression Poconet-Like FP16 - Device: CPUaabc2004006008001000SE +/- 1.81, N = 3961.01959.74963.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Noise Suppression Poconet-Like FP16 - Device: CPUaabc48121620SE +/- 0.03, N = 316.4416.4616.40MIN: 12.76 / MAX: 28.04MIN: 13.06 / MAX: 29.49MIN: 12.8 / MAX: 27.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Handwritten English Recognition FP16 - Device: CPUaabc70140210280350SE +/- 0.53, N = 3321.98322.54323.101. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Handwritten English Recognition FP16 - Device: CPUaabc1122334455SE +/- 0.08, N = 349.6649.5749.48MIN: 39.94 / MAX: 79.52MIN: 40.31 / MAX: 72.84MIN: 39.94 / MAX: 72.511. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Person Re-Identification Retail FP16 - Device: CPUaabc2004006008001000SE +/- 0.36, N = 3967.78969.67972.151. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Person Re-Identification Retail FP16 - Device: CPUaabc246810SE +/- 0.00, N = 36.116.106.08MIN: 4.06 / MAX: 15.69MIN: 4.08 / MAX: 15.79MIN: 4.07 / MAX: 16.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUaabc3K6K9K12K15KSE +/- 24.22, N = 315086.1615058.2015355.431. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUaabc0.2160.4320.6480.8641.08SE +/- 0.00, N = 30.960.960.94MIN: 0.59 / MAX: 8.81MIN: 0.59 / MAX: 14.25MIN: 0.59 / MAX: 81. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Handwritten English Recognition FP16-INT8 - Device: CPUaabc80160240320400SE +/- 0.35, N = 3379.60378.84380.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Handwritten English Recognition FP16-INT8 - Device: CPUaabc1020304050SE +/- 0.04, N = 342.1142.2041.97MIN: 34.54 / MAX: 67.63MIN: 34.58 / MAX: 72.64MIN: 34.55 / MAX: 61.291. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2024.5Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUaabc9K18K27K36K45KSE +/- 185.94, N = 339936.1040039.8340787.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2024.5Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUaabc0.07880.15760.23640.31520.394SE +/- 0.00, N = 30.350.350.34MIN: 0.23 / MAX: 7.42MIN: 0.23 / MAX: 7.74MIN: 0.23 / MAX: 7.381. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared -ldl -lstdc++fs

Primesieve

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.6Length: 1e12aaabc246810SE +/- 0.066, N = 36.6376.7836.6546.6261. (CXX) g++ options: -O3

OpenBenchmarking.orgSeconds, Fewer Is BetterPrimesieve 12.6Length: 1e13aaabc20406080100SE +/- 0.19, N = 386.4187.5086.8386.551. (CXX) g++ options: -O3

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: BMW27 - Compute: CPU-Onlyaaabc1122334455SE +/- 0.10, N = 348.6449.3249.1848.82

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Junkshop - Compute: CPU-Onlyaaabc1632486480SE +/- 0.20, N = 370.0669.9370.1169.93

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Classroom - Compute: CPU-Onlyaaabc306090120150SE +/- 0.44, N = 3139.63140.07140.20139.50

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Fishy Cat - Compute: CPU-Onlyaaabc20406080100SE +/- 0.19, N = 374.4674.7974.7474.39

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: BMW27 - Compute: NVIDIA CUDAaabc246810SE +/- 0.02, N = 38.938.918.89

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: BMW27 - Compute: NVIDIA OptiXaabc1.17232.34463.51694.68925.8615SE +/- 0.04, N = 135.185.175.21

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Barbershop - Compute: CPU-Onlyaabc110220330440550SE +/- 0.48, N = 3511.92512.02505.73

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Junkshop - Compute: NVIDIA CUDAaabc48121620SE +/- 0.01, N = 315.3215.3215.29

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Classroom - Compute: NVIDIA CUDAaabc48121620SE +/- 0.01, N = 316.9216.9516.95

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Fishy Cat - Compute: NVIDIA CUDAaabc48121620SE +/- 0.01, N = 316.9816.9716.96

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Junkshop - Compute: NVIDIA OptiXaabc3691215SE +/- 0.11, N = 49.809.749.74

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Barbershop - Compute: NVIDIA CUDAaabc1632486480SE +/- 0.05, N = 369.3470.1569.11

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Classroom - Compute: NVIDIA OptiXaabc3691215SE +/- 0.02, N = 311.7711.9211.76

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Fishy Cat - Compute: NVIDIA OptiXaabc246810SE +/- 0.01, N = 38.788.778.78

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Barbershop - Compute: NVIDIA OptiXaabc1122334455SE +/- 0.05, N = 347.0246.9546.90

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Pabellon Barcelona - Compute: CPU-Onlyaabc4080120160200SE +/- 0.30, N = 3166.82166.41166.11

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Pabellon Barcelona - Compute: NVIDIA CUDAaabc918273645SE +/- 0.04, N = 337.4637.4337.43

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 4.3Blend File: Pabellon Barcelona - Compute: NVIDIA OptiXaabc3691215SE +/- 0.02, N = 313.0013.0212.98

vkpeak

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp32-scalaraaabc5K10K15K20K25KSE +/- 5.72, N = 323473.4023465.9223476.7423478.38

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp32-vec4aaabc7K14K21K28K35KSE +/- 0.50, N = 330993.1730988.0030992.0530990.96

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp16-scalaraaabc5K10K15K20K25KSE +/- 28.91, N = 323384.1123411.5723384.2323381.88

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp16-vec4aaabc6K12K18K24K30KSE +/- 24.97, N = 326846.8526874.5926846.2526846.89

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp64-scalaraaabc160320480640800SE +/- 0.09, N = 3735.97735.77735.98735.59

OpenBenchmarking.orgGFLOPS, More Is Bettervkpeak 20240505fp64-vec4aaabc160320480640800SE +/- 0.01, N = 3735.92735.95735.92735.82

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20240505int32-scalaraaabc5K10K15K20K25KSE +/- 18.61, N = 323401.3023383.5223364.4023345.26

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20240505int32-vec4aaabc5K10K15K20K25KSE +/- 15.15, N = 323392.4623363.1923347.4523345.11

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20240505int16-scalaraaabc3K6K9K12K15KSE +/- 2.13, N = 315292.5515286.1615280.3215299.24

OpenBenchmarking.orgGIOPS, More Is Bettervkpeak 20240505int16-vec4aaabc4K8K12K16K20KSE +/- 8.92, N = 317140.6217127.5617139.2117137.18

85 Results Shown

Renaissance:
  Scala Dotty
  Rand Forest
  ALS Movie Lens
  Apache Spark Bayes
  Savina Reactors.IO
  Apache Spark PageRank
  Finagle HTTP Requests
  Gaussian Mixture Model
  In-Memory Database Shootout
  Akka Unbalanced Cobwebbed Tree
  Genetic Algorithm Using Jenetics + Futures
OpenVINO GenAI:
  Gemma-7b-int4-ov - CPU
  TinyLlama-1.1B-Chat-v1.0 - CPU
  Falcon-7b-instruct-int4-ov - CPU
  Phi-3-mini-128k-instruct-int4-ov - CPU
OpenVINO:
  Face Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP16 - CPU:
    FPS
    ms
  Person Detection FP32 - CPU:
    FPS
    ms
  Vehicle Detection FP16 - CPU:
    FPS
    ms
  Face Detection FP16-INT8 - CPU:
    FPS
    ms
  Face Detection Retail FP16 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16 - CPU:
    FPS
    ms
  Vehicle Detection FP16-INT8 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16 - CPU:
    FPS
    ms
  Face Detection Retail FP16-INT8 - CPU:
    FPS
    ms
  Road Segmentation ADAS FP16-INT8 - CPU:
    FPS
    ms
  Machine Translation EN To DE FP16 - CPU:
    FPS
    ms
  Weld Porosity Detection FP16-INT8 - CPU:
    FPS
    ms
  Person Vehicle Bike Detection FP16 - CPU:
    FPS
    ms
  Noise Suppression Poconet-Like FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16 - CPU:
    FPS
    ms
  Person Re-Identification Retail FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Handwritten English Recognition FP16-INT8 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    FPS
    ms
Primesieve:
  1e12
  1e13
Blender:
  BMW27 - CPU-Only
  Junkshop - CPU-Only
  Classroom - CPU-Only
  Fishy Cat - CPU-Only
  BMW27 - NVIDIA CUDA
  BMW27 - NVIDIA OptiX
  Barbershop - CPU-Only
  Junkshop - NVIDIA CUDA
  Classroom - NVIDIA CUDA
  Fishy Cat - NVIDIA CUDA
  Junkshop - NVIDIA OptiX
  Barbershop - NVIDIA CUDA
  Classroom - NVIDIA OptiX
  Fishy Cat - NVIDIA OptiX
  Barbershop - NVIDIA OptiX
  Pabellon Barcelona - CPU-Only
  Pabellon Barcelona - NVIDIA CUDA
  Pabellon Barcelona - NVIDIA OptiX
vkpeak:
  fp32-scalar
  fp32-vec4
  fp16-scalar
  fp16-vec4
  fp64-scalar
  fp64-vec4
  int32-scalar
  int32-vec4
  int16-scalar
  int16-vec4