AMD Ryzen 7 4800U testing with a ASRock 4X4-4000 (P1.30Q BIOS) and AMD Renoir 512MB on Ubuntu 22.04 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 2212246-NE-XMAS4840981 xmas - Phoronix Test Suite xmas AMD Ryzen 7 4800U testing with a ASRock 4X4-4000 (P1.30Q BIOS) and AMD Renoir 512MB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2212246-NE-XMAS4840981&gru&rdt&rro .
xmas Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution a b c d AMD Ryzen 7 4800U @ 1.80GHz (8 Cores / 16 Threads) ASRock 4X4-4000 (P1.30Q BIOS) AMD Renoir/Cezanne 16GB 512GB TS512GMTS952T-I AMD Renoir 512MB (1750/400MHz) AMD Renoir Radeon HD Audio DELL P2415Q Realtek RTL8125 2.5GbE + Realtek RTL8111/8168/8411 + Intel 8265 / 8275 Ubuntu 22.04 5.19.0-rc6-phx-retbleed (x86_64) GNOME Shell 42.2 X Server + Wayland 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47) 1.3.204 GCC 11.2.0 ext4 3840x2160 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: madvise Compiler 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,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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 - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8600103 Python Details - Python 3.10.4 Security Details - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
xmas nekrs: TurboPipe Periodic openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU rav1e: 1 rav1e: 5 rav1e: 6 rav1e: 10 svt-av1: Preset 4 - Bosphorus 4K svt-av1: Preset 8 - Bosphorus 4K svt-av1: Preset 12 - Bosphorus 4K svt-av1: Preset 13 - Bosphorus 4K svt-av1: Preset 4 - Bosphorus 1080p svt-av1: Preset 8 - Bosphorus 1080p svt-av1: Preset 12 - Bosphorus 1080p svt-av1: Preset 13 - Bosphorus 1080p openvkl: vklBenchmark ISPC openvkl: vklBenchmark Scalar stream: Copy stream: Scale stream: Triad stream: Add cockroach: MoVR - 128 cockroach: MoVR - 256 cockroach: MoVR - 512 cockroach: MoVR - 1024 cockroach: KV, 10% Reads - 128 cockroach: KV, 10% Reads - 256 cockroach: KV, 10% Reads - 512 cockroach: KV, 50% Reads - 128 cockroach: KV, 50% Reads - 256 cockroach: KV, 50% Reads - 512 cockroach: KV, 60% Reads - 128 cockroach: KV, 60% Reads - 256 cockroach: KV, 60% Reads - 512 cockroach: KV, 95% Reads - 128 cockroach: KV, 95% Reads - 256 cockroach: KV, 95% Reads - 512 cockroach: KV, 10% Reads - 1024 cockroach: KV, 50% Reads - 1024 cockroach: KV, 60% Reads - 1024 cockroach: KV, 95% Reads - 1024 stargate: 44100 - 512 stargate: 96000 - 512 stargate: 192000 - 512 stargate: 44100 - 1024 stargate: 480000 - 512 stargate: 96000 - 1024 stargate: 192000 - 1024 stargate: 480000 - 1024 openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU build-linux-kernel: defconfig blender: BMW27 - CPU-Only numenta-nab: KNN CAD numenta-nab: Relative Entropy numenta-nab: Windowed Gaussian numenta-nab: Earthgecko Skyline numenta-nab: Bayesian Changepoint numenta-nab: Contextual Anomaly Detector OSE scikit-learn: MNIST Dataset scikit-learn: TSNE MNIST Dataset scikit-learn: Sparse Rand Projections, 100 Iterations a b c d 15015300000 1.53 0.91 0.92 69.78 2.36 154.81 168.71 13.46 225.28 165.96 2818.35 3068.25 0.481 2.066 2.827 5.025 1.366 16.883 42.118 51.063 4.598 46.39 173.142 199.768 75 47 13090.1 9362.9 10163.1 10157.1 177.4 178.3 177.8 177.7 12263.5 13098.4 12897.4 14622.2 14496.7 14181.6 15192.9 14842.7 14483.7 18048.7 17664.2 17166.9 12347.6 13566.1 13962.3 16164.8 1.11292 0.68377 0.431162 1.587045 1.056491 0.947843 0.566878 1.513141 2615.84 4320.83 4292.1 57.26 1694.27 25.78 23.67 296.57 35.46 24.06 2.79 2.55 187.927 182.86 272.419 26.057 16.914 254.588 91.037 95.148 224.236 126.585 2250.135 15190700000 1.44 0.87 0.86 72.67 2.08 143.44 156.76 13.03 208.66 164.36 2813.99 3000.99 0.486 2.046 2.818 5.192 1.361 17.058 43.259 50.012 4.551 45.919 173.009 202.474 75 47 13370 9427.6 10266.9 10260 176.6 177.2 177.4 177.8 12307.9 13131.9 12890.2 14543.1 14451.1 14148.3 15175.3 14799.9 14477.1 18143.8 17648.4 17230.4 12396.3 13494.1 13909.7 16139.2 1.105582 0.677597 0.431175 1.560846 1.048391 0.928624 0.556357 1.488743 2782.21 4526.23 4622.8 54.94 1920.14 27.84 25.48 306.5 38.29 24.3 2.79 2.61 186.196 234.64 289.521 26.688 17.351 252.382 92.094 92.946 228.544 128.601 2255.944 15098800000 1.44 0.87 0.86 72.59 2.09 144.87 157.79 13.46 209.09 168.35 2758.54 2971.36 0.453 2.06 2.779 5.202 1.359 17.068 40.787 49.906 4.576 46.678 173.437 201.727 75 47 13341.6 9399.6 10240.3 10243.4 177.4 177.4 177.3 176.3 12229.6 13122.7 12847.2 14646.3 14495.9 14075 15115.6 14825.5 14493.4 18003.7 17610.3 17252.4 12311.4 13526.8 13860.2 16157.6 1.090057 0.68641 0.425002 1.570926 1.079882 0.930608 0.553981 1.538141 2773.38 4537.55 4561.67 55 1912.86 27.56 25.31 296.65 38.21 23.72 2.85 2.63 186.877 234.45 286.708 27.91 17.158 255.021 91.541 92.677 225.839 127.397 2255.897 15295900000 1.42 0.86 0.86 73.8 2.07 141.38 155.7 13.08 207.47 165.45 2790.97 2966.81 0.499 2.077 2.818 5.178 1.377 17.052 43.022 49.732 4.624 46.858 174.236 200.249 75 47 13366.6 9397.6 10250 10257.7 176.8 177.8 176.3 176.2 12274.2 13097.3 12899.4 14639.1 14534.9 14094.4 15108.3 14841.2 14526.3 17975.7 17581.9 17282.8 12324.7 13431.5 13933.7 16019.9 1.10292 0.685712 0.386746 1.423599 0.968549 0.911166 0.56439 1.509022 2808.07 4577.38 4607.74 54.09 1931.53 28.24 25.66 305.53 38.51 24.13 2.81 2.64 188.355 238.07 287.741 28.026 17.556 256.407 92.396 90.803 228.067 127.583 2236.079 OpenBenchmarking.org
nekRS Input: TurboPipe Periodic OpenBenchmarking.org FLOP/s, More Is Better nekRS 22.0 Input: TurboPipe Periodic d c b a 3000M 6000M 9000M 12000M 15000M 15295900000 15098800000 15190700000 15015300000 1. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU d c b a 0.3443 0.6886 1.0329 1.3772 1.7215 1.42 1.44 1.44 1.53 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU d c b a 0.2048 0.4096 0.6144 0.8192 1.024 0.86 0.87 0.87 0.91 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU d c b a 0.207 0.414 0.621 0.828 1.035 0.86 0.86 0.86 0.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU d c b a 16 32 48 64 80 73.80 72.59 72.67 69.78 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU d c b a 0.531 1.062 1.593 2.124 2.655 2.07 2.09 2.08 2.36 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU d c b a 30 60 90 120 150 141.38 144.87 143.44 154.81 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU d c b a 40 80 120 160 200 155.70 157.79 156.76 168.71 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU d c b a 3 6 9 12 15 13.08 13.46 13.03 13.46 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU d c b a 50 100 150 200 250 207.47 209.09 208.66 225.28 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU d c b a 40 80 120 160 200 165.45 168.35 164.36 165.96 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU d c b a 600 1200 1800 2400 3000 2790.97 2758.54 2813.99 2818.35 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU d c b a 700 1400 2100 2800 3500 2966.81 2971.36 3000.99 3068.25 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
rav1e Speed: 1 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 1 d c b a 0.1123 0.2246 0.3369 0.4492 0.5615 0.499 0.453 0.486 0.481
rav1e Speed: 5 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 5 d c b a 0.4673 0.9346 1.4019 1.8692 2.3365 2.077 2.060 2.046 2.066
rav1e Speed: 6 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 6 d c b a 0.6361 1.2722 1.9083 2.5444 3.1805 2.818 2.779 2.818 2.827
rav1e Speed: 10 OpenBenchmarking.org Frames Per Second, More Is Better rav1e 0.6.1 Speed: 10 d c b a 1.1705 2.341 3.5115 4.682 5.8525 5.178 5.202 5.192 5.025
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 4K d c b a 0.3098 0.6196 0.9294 1.2392 1.549 1.377 1.359 1.361 1.366 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 4K d c b a 4 8 12 16 20 17.05 17.07 17.06 16.88 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 4K d c b a 10 20 30 40 50 43.02 40.79 43.26 42.12 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 4K OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 4K d c b a 12 24 36 48 60 49.73 49.91 50.01 51.06 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 4 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 4 - Input: Bosphorus 1080p d c b a 1.0404 2.0808 3.1212 4.1616 5.202 4.624 4.576 4.551 4.598 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 8 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 8 - Input: Bosphorus 1080p d c b a 11 22 33 44 55 46.86 46.68 45.92 46.39 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 12 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 12 - Input: Bosphorus 1080p d c b a 40 80 120 160 200 174.24 173.44 173.01 173.14 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
SVT-AV1 Encoder Mode: Preset 13 - Input: Bosphorus 1080p OpenBenchmarking.org Frames Per Second, More Is Better SVT-AV1 1.4 Encoder Mode: Preset 13 - Input: Bosphorus 1080p d c b a 40 80 120 160 200 200.25 201.73 202.47 199.77 1. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq
OpenVKL Benchmark: vklBenchmark ISPC OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark ISPC d c b a 20 40 60 80 100 75 75 75 75 MIN: 9 / MAX: 1062 MIN: 9 / MAX: 1060 MIN: 9 / MAX: 1055 MIN: 9 / MAX: 1058
OpenVKL Benchmark: vklBenchmark Scalar OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark Scalar d c b a 11 22 33 44 55 47 47 47 47 MIN: 4 / MAX: 976 MIN: 4 / MAX: 985 MIN: 4 / MAX: 980 MIN: 4 / MAX: 991
Stream Type: Copy OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Copy d c b a 3K 6K 9K 12K 15K 13366.6 13341.6 13370.0 13090.1 1. (CC) gcc options: -O3 -march=native -fopenmp
Stream Type: Scale OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Scale d c b a 2K 4K 6K 8K 10K 9397.6 9399.6 9427.6 9362.9 1. (CC) gcc options: -O3 -march=native -fopenmp
Stream Type: Triad OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Triad d c b a 2K 4K 6K 8K 10K 10250.0 10240.3 10266.9 10163.1 1. (CC) gcc options: -O3 -march=native -fopenmp
Stream Type: Add OpenBenchmarking.org MB/s, More Is Better Stream 2013-01-17 Type: Add d c b a 2K 4K 6K 8K 10K 10257.7 10243.4 10260.0 10157.1 1. (CC) gcc options: -O3 -march=native -fopenmp
CockroachDB Workload: MoVR - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: MoVR - Concurrency: 128 d c b a 40 80 120 160 200 176.8 177.4 176.6 177.4
CockroachDB Workload: MoVR - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: MoVR - Concurrency: 256 d c b a 40 80 120 160 200 177.8 177.4 177.2 178.3
CockroachDB Workload: MoVR - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: MoVR - Concurrency: 512 d c b a 40 80 120 160 200 176.3 177.3 177.4 177.8
CockroachDB Workload: MoVR - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: MoVR - Concurrency: 1024 d c b a 40 80 120 160 200 176.2 176.3 177.8 177.7
CockroachDB Workload: KV, 10% Reads - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 128 d c b a 3K 6K 9K 12K 15K 12274.2 12229.6 12307.9 12263.5
CockroachDB Workload: KV, 10% Reads - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 256 d c b a 3K 6K 9K 12K 15K 13097.3 13122.7 13131.9 13098.4
CockroachDB Workload: KV, 10% Reads - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 512 d c b a 3K 6K 9K 12K 15K 12899.4 12847.2 12890.2 12897.4
CockroachDB Workload: KV, 50% Reads - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 d c b a 3K 6K 9K 12K 15K 14639.1 14646.3 14543.1 14622.2
CockroachDB Workload: KV, 50% Reads - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 256 d c b a 3K 6K 9K 12K 15K 14534.9 14495.9 14451.1 14496.7
CockroachDB Workload: KV, 50% Reads - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 512 d c b a 3K 6K 9K 12K 15K 14094.4 14075.0 14148.3 14181.6
CockroachDB Workload: KV, 60% Reads - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 128 d c b a 3K 6K 9K 12K 15K 15108.3 15115.6 15175.3 15192.9
CockroachDB Workload: KV, 60% Reads - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 256 d c b a 3K 6K 9K 12K 15K 14841.2 14825.5 14799.9 14842.7
CockroachDB Workload: KV, 60% Reads - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 512 d c b a 3K 6K 9K 12K 15K 14526.3 14493.4 14477.1 14483.7
CockroachDB Workload: KV, 95% Reads - Concurrency: 128 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 d c b a 4K 8K 12K 16K 20K 17975.7 18003.7 18143.8 18048.7
CockroachDB Workload: KV, 95% Reads - Concurrency: 256 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 256 d c b a 4K 8K 12K 16K 20K 17581.9 17610.3 17648.4 17664.2
CockroachDB Workload: KV, 95% Reads - Concurrency: 512 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 512 d c b a 4K 8K 12K 16K 20K 17282.8 17252.4 17230.4 17166.9
CockroachDB Workload: KV, 10% Reads - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 1024 d c b a 3K 6K 9K 12K 15K 12324.7 12311.4 12396.3 12347.6
CockroachDB Workload: KV, 50% Reads - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 1024 d c b a 3K 6K 9K 12K 15K 13431.5 13526.8 13494.1 13566.1
CockroachDB Workload: KV, 60% Reads - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 1024 d c b a 3K 6K 9K 12K 15K 13933.7 13860.2 13909.7 13962.3
CockroachDB Workload: KV, 95% Reads - Concurrency: 1024 OpenBenchmarking.org ops/s, More Is Better CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 1024 d c b a 3K 6K 9K 12K 15K 16019.9 16157.6 16139.2 16164.8
Stargate Digital Audio Workstation Sample Rate: 44100 - Buffer Size: 512 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 512 d c b a 0.2504 0.5008 0.7512 1.0016 1.252 1.102920 1.090057 1.105582 1.112920 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 96000 - Buffer Size: 512 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 512 d c b a 0.1544 0.3088 0.4632 0.6176 0.772 0.685712 0.686410 0.677597 0.683770 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 192000 - Buffer Size: 512 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 512 d c b a 0.097 0.194 0.291 0.388 0.485 0.386746 0.425002 0.431175 0.431162 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 44100 - Buffer Size: 1024 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 44100 - Buffer Size: 1024 d c b a 0.3571 0.7142 1.0713 1.4284 1.7855 1.423599 1.570926 1.560846 1.587045 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 480000 - Buffer Size: 512 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 512 d c b a 0.243 0.486 0.729 0.972 1.215 0.968549 1.079882 1.048391 1.056491 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 96000 - Buffer Size: 1024 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 96000 - Buffer Size: 1024 d c b a 0.2133 0.4266 0.6399 0.8532 1.0665 0.911166 0.930608 0.928624 0.947843 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 192000 - Buffer Size: 1024 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 192000 - Buffer Size: 1024 d c b a 0.1275 0.255 0.3825 0.51 0.6375 0.564390 0.553981 0.556357 0.566878 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
Stargate Digital Audio Workstation Sample Rate: 480000 - Buffer Size: 1024 OpenBenchmarking.org Render Ratio, More Is Better Stargate Digital Audio Workstation 22.11.5 Sample Rate: 480000 - Buffer Size: 1024 d c b a 0.3461 0.6922 1.0383 1.3844 1.7305 1.509022 1.538141 1.488743 1.513141 1. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions
OpenVINO Model: Face Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU d c b a 600 1200 1800 2400 3000 2808.07 2773.38 2782.21 2615.84 MIN: 2765.6 / MAX: 2920.56 MIN: 2720.19 / MAX: 2871.38 MIN: 2712.57 / MAX: 2932.01 MIN: 2519.42 / MAX: 2801.97 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU d c b a 1000 2000 3000 4000 5000 4577.38 4537.55 4526.23 4320.83 MIN: 3914.44 / MAX: 5163.57 MIN: 3879.88 / MAX: 5085.11 MIN: 3817.62 / MAX: 5076.44 MIN: 3480.88 / MAX: 4950.44 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Detection FP32 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU d c b a 1000 2000 3000 4000 5000 4607.74 4561.67 4622.80 4292.10 MIN: 3984.63 / MAX: 5149.67 MIN: 3850.18 / MAX: 5206.92 MIN: 4017.59 / MAX: 5026.89 MIN: 3381.99 / MAX: 4910.7 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Vehicle Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU d c b a 13 26 39 52 65 54.09 55.00 54.94 57.26 MIN: 43.21 / MAX: 74.74 MIN: 30.85 / MAX: 83.99 MIN: 44.71 / MAX: 75.69 MIN: 45.78 / MAX: 74.7 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Face Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU d c b a 400 800 1200 1600 2000 1931.53 1912.86 1920.14 1694.27 MIN: 1871.75 / MAX: 1947.35 MIN: 1885.34 / MAX: 1929.81 MIN: 1882.96 / MAX: 1959.99 MIN: 1650.15 / MAX: 1736.53 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Vehicle Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU d c b a 7 14 21 28 35 28.24 27.56 27.84 25.78 MIN: 21.83 / MAX: 61.39 MIN: 21.16 / MAX: 59.93 MIN: 21.1 / MAX: 57.58 MIN: 21.86 / MAX: 52.87 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Weld Porosity Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU d c b a 6 12 18 24 30 25.66 25.31 25.48 23.67 MIN: 21.57 / MAX: 52.7 MIN: 22.78 / MAX: 49.59 MIN: 22.37 / MAX: 49.14 MIN: 21.84 / MAX: 47.19 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Machine Translation EN To DE FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU d c b a 70 140 210 280 350 305.53 296.65 306.50 296.57 MIN: 264.14 / MAX: 329.3 MIN: 221.32 / MAX: 319.28 MIN: 235.61 / MAX: 338.59 MIN: 174.62 / MAX: 326.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Weld Porosity Detection FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU d c b a 9 18 27 36 45 38.51 38.21 38.29 35.46 MIN: 32.73 / MAX: 71.32 MIN: 32.91 / MAX: 77.08 MIN: 31.79 / MAX: 73.55 MIN: 29.6 / MAX: 69.79 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Person Vehicle Bike Detection FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU d c b a 6 12 18 24 30 24.13 23.72 24.30 24.06 MIN: 16.55 / MAX: 43.52 MIN: 19.61 / MAX: 40.07 MIN: 18.12 / MAX: 43.29 MIN: 17.79 / MAX: 43.66 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU d c b a 0.6413 1.2826 1.9239 2.5652 3.2065 2.81 2.85 2.79 2.79 MIN: 1.7 / MAX: 24.75 MIN: 1.82 / MAX: 7.82 MIN: 1.74 / MAX: 24.89 MIN: 1.8 / MAX: 25.06 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenVINO Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU d c b a 0.594 1.188 1.782 2.376 2.97 2.64 2.63 2.61 2.55 MIN: 1.68 / MAX: 24.19 MIN: 1.66 / MAX: 26.18 MIN: 1.67 / MAX: 28.29 MIN: 1.86 / MAX: 6.17 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
Timed Linux Kernel Compilation Build: defconfig OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 6.1 Build: defconfig d c b a 40 80 120 160 200 188.36 186.88 186.20 187.93
Blender Blend File: BMW27 - Compute: CPU-Only OpenBenchmarking.org Seconds, Fewer Is Better Blender 3.4 Blend File: BMW27 - Compute: CPU-Only d c b a 50 100 150 200 250 238.07 234.45 234.64 182.86
Numenta Anomaly Benchmark Detector: KNN CAD OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: KNN CAD d c b a 60 120 180 240 300 287.74 286.71 289.52 272.42
Numenta Anomaly Benchmark Detector: Relative Entropy OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy d c b a 7 14 21 28 35 28.03 27.91 26.69 26.06
Numenta Anomaly Benchmark Detector: Windowed Gaussian OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian d c b a 4 8 12 16 20 17.56 17.16 17.35 16.91
Numenta Anomaly Benchmark Detector: Earthgecko Skyline OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline d c b a 60 120 180 240 300 256.41 255.02 252.38 254.59
Numenta Anomaly Benchmark Detector: Bayesian Changepoint OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint d c b a 20 40 60 80 100 92.40 91.54 92.09 91.04
Numenta Anomaly Benchmark Detector: Contextual Anomaly Detector OSE OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Contextual Anomaly Detector OSE d c b a 20 40 60 80 100 90.80 92.68 92.95 95.15
Scikit-Learn Benchmark: MNIST Dataset OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: MNIST Dataset d c b a 50 100 150 200 250 228.07 225.84 228.54 224.24
Scikit-Learn Benchmark: TSNE MNIST Dataset OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: TSNE MNIST Dataset d c b a 30 60 90 120 150 127.58 127.40 128.60 126.59
Scikit-Learn Benchmark: Sparse Random Projections, 100 Iterations OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 1.1.3 Benchmark: Sparse Random Projections, 100 Iterations d c b a 500 1000 1500 2000 2500 2236.08 2255.90 2255.94 2250.14
Phoronix Test Suite v10.8.4