AMD Ryzen 5 5500U testing with a NB01 NL5xNU (1.07.11RTR1 BIOS) and AMD Lucienne 512MB on Tuxedo 22.04 via the Phoronix Test Suite.
a Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vProcessor Notes: Scaling Governor: amd-pstate ondemand (Boost: Enabled) - CPU Microcode: 0x8608103Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016Python Notes: Python 3.10.6Security Notes: 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
b c d Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200
OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.4 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080
mnre OpenBenchmarking.org Phoronix Test Suite AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads) NB01 NL5xNU (1.07.11RTR1 BIOS) AMD Renoir/Cezanne 16GB Samsung SSD 970 EVO Plus 500GB AMD Lucienne 512MB (1800/400MHz) AMD Renoir Radeon HD Audio Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200 Tuxedo 22.04 6.0.0-1010-oem (x86_64) KDE Plasma 5.26.5 X Server 1.21.1.3 4.6 Mesa 22.3.4 (LLVM 14.0.0 DRM 3.48) 1.3.230 GCC 11.3.0 ext4 1920x1080 Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution Mnre Benchmarks System Logs - 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,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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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: amd-pstate ondemand (Boost: Enabled) - CPU Microcode: 0x8608103 - GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016 - Python 3.10.6 - 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
a b c d Result Overview Phoronix Test Suite 100% 102% 104% 106% 108% ET: Legacy ClickHouse Numenta Anomaly Benchmark RocksDB AOM AV1 Zstd Compression BRL-CAD Unvanquished OpenVKL VVenC Neural Magic DeepSparse GROMACS uvg266 CockroachDB oneDNN VP9 libvpx Encoding OpenVINO dav1d Kvazaar
mnre etlegacy: 1920 x 1080 unvanquished: 1920 x 1080 - High unvanquished: 1920 x 1080 - Ultra unvanquished: 1920 x 1080 - Medium compress-zstd: 3 - Compression Speed compress-zstd: 3 - Decompression Speed compress-zstd: 8 - Compression Speed compress-zstd: 8 - Decompression Speed compress-zstd: 12 - Compression Speed compress-zstd: 12 - Decompression Speed compress-zstd: 19 - Compression Speed compress-zstd: 19 - Decompression Speed compress-zstd: 3, Long Mode - Compression Speed compress-zstd: 3, Long Mode - Decompression Speed compress-zstd: 8, Long Mode - Compression Speed compress-zstd: 8, Long Mode - Decompression Speed compress-zstd: 19, Long Mode - Compression Speed compress-zstd: 19, Long Mode - Decompression Speed dav1d: Chimera 1080p dav1d: Summer Nature 4K dav1d: Summer Nature 1080p dav1d: Chimera 1080p 10-bit aom-av1: Speed 0 Two-Pass - Bosphorus 4K aom-av1: Speed 4 Two-Pass - Bosphorus 4K aom-av1: Speed 6 Realtime - Bosphorus 4K aom-av1: Speed 6 Two-Pass - Bosphorus 4K aom-av1: Speed 8 Realtime - Bosphorus 4K aom-av1: Speed 9 Realtime - Bosphorus 4K aom-av1: Speed 10 Realtime - Bosphorus 4K aom-av1: Speed 0 Two-Pass - Bosphorus 1080p aom-av1: Speed 4 Two-Pass - Bosphorus 1080p aom-av1: Speed 6 Realtime - Bosphorus 1080p aom-av1: Speed 6 Two-Pass - Bosphorus 1080p aom-av1: Speed 8 Realtime - Bosphorus 1080p aom-av1: Speed 9 Realtime - Bosphorus 1080p aom-av1: Speed 10 Realtime - Bosphorus 1080p kvazaar: Bosphorus 4K - Slow kvazaar: Bosphorus 4K - Medium kvazaar: Bosphorus 1080p - Slow kvazaar: Bosphorus 1080p - Medium kvazaar: Bosphorus 4K - Very Fast kvazaar: Bosphorus 4K - Super Fast kvazaar: Bosphorus 4K - Ultra Fast kvazaar: Bosphorus 1080p - Very Fast kvazaar: Bosphorus 1080p - Super Fast kvazaar: Bosphorus 1080p - Ultra Fast uvg266: Bosphorus 4K - Slow uvg266: Bosphorus 4K - Medium uvg266: Bosphorus 1080p - Slow uvg266: Bosphorus 1080p - Medium uvg266: Bosphorus 4K - Very Fast uvg266: Bosphorus 4K - Super Fast uvg266: Bosphorus 4K - Ultra Fast uvg266: Bosphorus 1080p - Very Fast uvg266: Bosphorus 1080p - Super Fast uvg266: Bosphorus 1080p - Ultra Fast vpxenc: Speed 0 - Bosphorus 4K vpxenc: Speed 5 - Bosphorus 4K vpxenc: Speed 0 - Bosphorus 1080p vpxenc: Speed 5 - Bosphorus 1080p vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Fast vvenc: Bosphorus 1080p - Faster openvkl: vklBenchmark ISPC openvkl: vklBenchmark Scalar onednn: IP Shapes 1D - f32 - CPU onednn: IP Shapes 3D - f32 - CPU onednn: IP Shapes 1D - u8s8f32 - CPU onednn: IP Shapes 3D - u8s8f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU onednn: Deconvolution Batch shapes_1d - f32 - CPU onednn: Deconvolution Batch shapes_3d - f32 - CPU onednn: Convolution Batch Shapes Auto - u8s8f32 - CPU onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPU onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPU onednn: Recurrent Neural Network Training - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU onednn: Recurrent Neural Network Training - u8s8f32 - CPU onednn: Recurrent Neural Network Inference - u8s8f32 - CPU onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU onednn: Recurrent Neural Network Training - bf16bf16bf16 - CPU onednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPU onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU clickhouse: 100M Rows Hits Dataset, First Run / Cold Cache clickhouse: 100M Rows Hits Dataset, Second Run clickhouse: 100M Rows Hits Dataset, Third Run cockroach: MoVR - 128 cockroach: MoVR - 256 cockroach: KV, 10% Reads - 128 cockroach: KV, 10% Reads - 256 cockroach: KV, 50% Reads - 128 cockroach: KV, 50% Reads - 256 cockroach: KV, 60% Reads - 128 cockroach: KV, 60% Reads - 256 cockroach: KV, 95% Reads - 128 cockroach: KV, 95% Reads - 256 gromacs: MPI CPU - water_GMX50_bare deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Synchronous Single-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Asynchronous Multi-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Stream deepsparse: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Synchronous Single-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Asynchronous Multi-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream deepsparse: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Stream deepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Detection, YOLOv5s COCO - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: CV Classification, ResNet-50 ImageNet - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: NLP Text Classification, DistilBERT mnli - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Asynchronous Multi-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream deepsparse: NLP Text Classification, BERT base uncased SST2 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream deepsparse: NLP Token Classification, BERT base uncased conll2003 - Synchronous Single-Stream openvino: Face Detection FP16 - CPU openvino: Face Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP16 - CPU openvino: Person Detection FP32 - CPU openvino: Person Detection FP32 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Vehicle Detection FP16 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Face Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Vehicle Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Weld Porosity Detection FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Machine Translation EN To DE FP16 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Weld Porosity Detection FP16-INT8 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Person Vehicle Bike Detection FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU openvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPU rocksdb: Rand Fill rocksdb: Rand Read rocksdb: Update Rand rocksdb: Seq Fill rocksdb: Rand Fill Sync rocksdb: Read While Writing rocksdb: Read Rand Write Rand 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 brl-cad: VGR Performance Metric a b c d 151.3 134.1 131.1 136 556.7 1329.2 159.7 1415.6 59.8 1269.2 9.17 874 443.8 1343.6 156.6 1393.9 5.41 947.6 376.55 115.92 477.42 287.28 0.1 3.45 32.06 5.68 27 33.35 33.87 0.33 9 74.73 19.25 71.3 88.38 87.8 4.76 4.85 22.79 23.5 12.02 14.81 20.13 50.6 64 84.15 2.88 3.25 14.25 16.01 9.69 9.93 11.97 43.05 43.79 52.05 3.45 7.83 7.57 18.08 1.861 4.062 5.788 13.411 71 44 9.24715 12.6358 3.68773 3.58214 22.2267 12.4253 11.1907 24.6918 5.40406 7.77149 5999.75 3779.53 5993.24 3784.4 6.18432 5985.6 3794.24 3.82126 70.31 78.42 77.69 147.9 150.7 11560.5 12750.9 13827.2 13826.4 14216.1 14216 16181.2 16148.8 0.596 3.7459 799.273 3.6177 276.4069 45.8169 65.4543 36.9276 27.0682 13.1189 228.2419 12.2711 81.4795 22.7924 131.5405 20.3607 49.0975 48.6979 61.5766 43.7108 22.8635 33.5191 89.4744 31.0296 32.2155 4.6351 646.0722 4.7578 210.1621 16.3246 183.5292 15.1174 66.1374 3.761 793.9977 3.6332 275.2245 1.41 2829.05 0.89 4454.52 0.88 4511 111.89 35.7 1.8 2214.08 140.13 28.53 139.18 28.71 13.81 289.37 191.52 31.3 200.69 19.9 3228.64 1.82 3428.31 1.71 598706 22199286 303389 809744 717935 930578 899139 380.609 32.125 18.726 239.521 60.949 101.986 81607 161.8 132.7 129.4 136 557.6 1325.2 159.8 1425.2 59.8 1305.1 9.76 905.3 444.3 1345.2 156.2 1401.1 5.37 953.9 377.61 115.93 479.84 286.61 0.1 3.48 33 5.67 28.3 34 34.42 0.34 9.03 73.07 19.23 72.22 88.8 88.85 4.77 4.86 22.8 23.65 12.02 14.82 20.07 50.36 63.68 84.15 2.9 3.27 14.32 16.11 9.72 9.96 11.98 42.85 43.99 52.48 3.47 7.85 7.52 18.2 1.859 4.077 5.842 13.452 71 44 9.31271 12.4925 3.69141 3.56267 22.2228 12.4261 11.2394 24.6308 5.38437 7.77781 5986.31 3794.69 5939.53 3786.92 6.18328 5994.66 3815.95 3.8052 71.64 77.25 80.28 148.2 150.7 11607.7 12748.3 13775.7 13911.6 14318.5 14192.9 16204.8 16159 0.599 3.7297 800.4215 3.631 275.394 45.8736 65.3753 35.3749 28.2572 13.0555 229.4741 12.276 81.4467 22.6747 132.2001 20.1828 49.5307 48.8862 61.2978 43.6345 22.9032 33.5725 89.3355 31.0837 32.1597 4.6275 647.9029 4.7532 210.3638 16.3317 183.6656 15.0985 66.2196 3.7858 791.7931 3.6404 274.6806 1.41 2822.04 0.89 4460.54 0.88 4522.07 112.09 35.64 1.81 2202.23 140.21 28.51 139.31 28.69 13.8 289.42 191.66 31.27 200.29 19.94 3232.73 1.82 3412.02 1.72 594924 20383803 303486 819537 728367 928106 871244 385.351 31.879 18.839 240.067 61.868 99.449 81095 161.9 134.5 129.6 136.3 567 1325.3 160.2 1426.7 60.1 1299.2 9.74 891 445.2 1341.2 156.7 1420.5 5.23 940.1 377.04 115.81 477.83 286.74 0.1 3.5 32.71 5.65 27.11 33.88 34.55 0.33 9.04 73.51 19.17 73.14 89.24 86.03 4.78 4.86 22.83 23.68 12.06 14.77 20.16 50.52 63.81 83.88 2.9 3.27 14.31 16.02 9.7 9.93 12 43.04 43.95 52.13 3.47 7.84 7.44 18.24 1.861 4.072 5.826 13.432 71 44 9.27244 12.8045 3.68968 3.58561 22.2612 12.5979 11.2074 24.6892 5.41218 7.78971 5966.43 3812.09 5993.01 3812.16 6.185 5972.93 3800.18 3.80979 71.20 79.55 79.84 149.5 150.6 11502.5 12673.8 13740.3 13875.1 14296.5 14220.4 16230.3 16080.8 0.599 3.7482 799.5474 3.6344 275.1397 45.5835 65.7907 36.7727 27.1826 13.1017 228.5066 12.2705 81.4831 22.6141 132.5898 20.2825 49.2871 48.4183 61.903 43.6766 22.8813 33.6173 89.1177 31.0969 32.146 4.6267 642.3309 4.7605 210.0457 16.3468 183.4969 15.0479 66.4424 3.7691 792.4972 3.6041 277.4463 1.41 2816.87 0.89 4452.48 0.88 4510.26 111.59 35.8 1.8 2207.67 140.38 28.47 138.54 28.84 13.52 295.62 191.7 31.27 199.96 19.97 3223.52 1.82 3424 1.71 592814 22264373 307730 811980 719010 939751 897512 381.849 31.886 19.211 237.919 60.83 99.492 81180 162.9 132.6 132 136.1 559.9 1326.7 159 1415.9 59.8 1303 9.23 879.1 451.1 1350 156.1 1410.6 5.51 972.1 378.48 116.02 478.72 286.86 0.1 3.48 32.79 5.67 27.27 33.91 34.3 0.33 9.06 75.55 19.37 72.77 98.79 86.17 4.76 4.85 22.81 23.73 12.02 14.79 20.2 50.41 63.63 84.43 2.9 3.27 14.3 16.05 9.74 9.95 11.99 42.92 43.93 51.94 3.49 7.79 7.55 17.98 1.865 4.077 5.84 13.526 72 44 9.22403 12.7444 3.70279 3.54648 22.23 12.5709 11.1817 24.6645 5.40132 7.81788 5969.93 3803.4 5978.35 3884.74 6.18209 5947.6 3807.12 3.8211 70.86 78.00 78.40 150 151.5 11175 12602.9 13757.1 13904.6 14254.3 14209.1 16192 16154.8 0.599 3.7488 799.1899 3.6255 275.8129 44.2301 67.8054 35.767 27.9474 13.1433 227.7999 11.9134 83.9261 22.6641 132.0944 20.2826 49.2867 48.7101 61.5225 43.5664 22.9392 33.562 89.3613 31.1268 32.1152 4.6245 647.9458 4.7631 209.931 16.2873 184.1334 15.1075 66.1808 3.753 793.6651 3.6438 274.4295 1.41 2815.26 0.89 4467.52 0.88 4508.6 111.98 35.67 1.8 2212.1 139.94 28.57 139 28.75 13.7 291.2 191.79 31.25 200.13 19.96 3225.98 1.82 3416.7 1.72 589180 22315684 303208 783832 726142 955282 898034 388.211 32.826 19.202 240.788 63.067 100.765 80823 OpenBenchmarking.org
Unvanquished Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 (id Tech 3) engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source, cross-platform shooter game. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Unvanquished 0.54 Resolution: 1920 x 1080 - Effects Quality: High a b c d 30 60 90 120 150 134.1 132.7 134.5 132.6
OpenBenchmarking.org FPS, More Is Better dav1d 1.0 Video Input: Summer Nature 4K a b c d 30 60 90 120 150 115.92 115.93 115.81 116.02 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 1.0 Video Input: Summer Nature 1080p a b c d 100 200 300 400 500 477.42 479.84 477.83 478.72 1. (CC) gcc options: -pthread
OpenBenchmarking.org FPS, More Is Better dav1d 1.0 Video Input: Chimera 1080p 10-bit a b c d 60 120 180 240 300 287.28 286.61 286.74 286.86 1. (CC) gcc options: -pthread
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K a b c d 0.7875 1.575 2.3625 3.15 3.9375 3.45 3.48 3.50 3.48 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K a b c d 8 16 24 32 40 32.06 33.00 32.71 32.79 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K a b c d 1.278 2.556 3.834 5.112 6.39 5.68 5.67 5.65 5.67 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K a b c d 7 14 21 28 35 27.00 28.30 27.11 27.27 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K a b c d 8 16 24 32 40 33.35 34.00 33.88 33.91 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K a b c d 8 16 24 32 40 33.87 34.42 34.55 34.30 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p a b c d 0.0765 0.153 0.2295 0.306 0.3825 0.33 0.34 0.33 0.33 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p a b c d 3 6 9 12 15 9.00 9.03 9.04 9.06 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p a b c d 20 40 60 80 100 74.73 73.07 73.51 75.55 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p a b c d 5 10 15 20 25 19.25 19.23 19.17 19.37 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p a b c d 16 32 48 64 80 71.30 72.22 73.14 72.77 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p a b c d 20 40 60 80 100 88.38 88.80 89.24 98.79 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
OpenBenchmarking.org Frames Per Second, More Is Better AOM AV1 3.6 Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p a b c d 20 40 60 80 100 87.80 88.85 86.03 86.17 1. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm
Kvazaar This is a test of Kvazaar as a CPU-based H.265/HEVC video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Slow a b c d 1.0755 2.151 3.2265 4.302 5.3775 4.76 4.77 4.78 4.76 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Medium a b c d 1.0935 2.187 3.2805 4.374 5.4675 4.85 4.86 4.86 4.85 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Slow a b c d 5 10 15 20 25 22.79 22.80 22.83 22.81 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Medium a b c d 6 12 18 24 30 23.50 23.65 23.68 23.73 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Very Fast a b c d 3 6 9 12 15 12.02 12.02 12.06 12.02 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Super Fast a b c d 4 8 12 16 20 14.81 14.82 14.77 14.79 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 4K - Video Preset: Ultra Fast a b c d 5 10 15 20 25 20.13 20.07 20.16 20.20 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Very Fast a b c d 11 22 33 44 55 50.60 50.36 50.52 50.41 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Super Fast a b c d 14 28 42 56 70 64.00 63.68 63.81 63.63 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better Kvazaar 2.2 Video Input: Bosphorus 1080p - Video Preset: Ultra Fast a b c d 20 40 60 80 100 84.15 84.15 83.88 84.43 1. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.org Frames Per Second, More Is Better uvg266 0.4.1 Video Input: Bosphorus 4K - Video Preset: Medium a b c d 0.7358 1.4716 2.2074 2.9432 3.679 3.25 3.27 3.27 3.27
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 4K a b c d 2 4 6 8 10 7.83 7.85 7.84 7.79 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 0 - Input: Bosphorus 1080p a b c d 2 4 6 8 10 7.57 7.52 7.44 7.55 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
OpenBenchmarking.org Frames Per Second, More Is Better VP9 libvpx Encoding 1.13 Speed: Speed 5 - Input: Bosphorus 1080p a b c d 4 8 12 16 20 18.08 18.20 18.24 17.98 1. (CXX) g++ options: -m64 -lm -lpthread -O3 -fPIC -U_FORTIFY_SOURCE -std=gnu++11
VVenC VVenC is the Fraunhofer Versatile Video Encoder as a fast/efficient H.266/VVC encoder. The vvenc encoder makes use of SIMD Everywhere (SIMDe). The vvenc software is published under The Clear BSD License. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast a b c d 0.4196 0.8392 1.2588 1.6784 2.098 1.861 1.859 1.861 1.865 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster a b c d 0.9173 1.8346 2.7519 3.6692 4.5865 4.062 4.077 4.072 4.077 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast a b c d 1.3145 2.629 3.9435 5.258 6.5725 5.788 5.842 5.826 5.840 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster a b c d 3 6 9 12 15 13.41 13.45 13.43 13.53 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
OpenBenchmarking.org Items / Sec, More Is Better OpenVKL 1.3.1 Benchmark: vklBenchmark Scalar a b c d 10 20 30 40 50 44 44 44 44 MIN: 4 / MAX: 953 MIN: 4 / MAX: 951 MIN: 4 / MAX: 951 MIN: 4 / MAX: 959
oneDNN This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU a b c d 3 6 9 12 15 9.24715 9.31271 9.27244 9.22403 MIN: 8.81 MIN: 8.85 MIN: 8.84 MIN: 8.81 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU a b c d 3 6 9 12 15 12.64 12.49 12.80 12.74 MIN: 11.99 MIN: 11.89 MIN: 12.09 MIN: 12.01 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU a b c d 0.8331 1.6662 2.4993 3.3324 4.1655 3.68773 3.69141 3.68968 3.70279 MIN: 3.45 MIN: 3.34 MIN: 3.42 MIN: 3.37 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU a b c d 0.8068 1.6136 2.4204 3.2272 4.034 3.58214 3.56267 3.58561 3.54648 MIN: 3.35 MIN: 3.33 MIN: 3.36 MIN: 3.3 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU
a: The test run did not produce a result.
b: The test run did not produce a result.
c: The test run did not produce a result.
d: The test run did not produce a result.
Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU
a: The test run did not produce a result.
b: The test run did not produce a result.
c: The test run did not produce a result.
d: The test run did not produce a result.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU a b c d 5 10 15 20 25 22.23 22.22 22.26 22.23 MIN: 21.61 MIN: 21.68 MIN: 21.67 MIN: 21.62 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU a b c d 3 6 9 12 15 12.43 12.43 12.60 12.57 MIN: 8.28 MIN: 8.45 MIN: 8.37 MIN: 8.37 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU a b c d 3 6 9 12 15 11.19 11.24 11.21 11.18 MIN: 10.66 MIN: 10.47 MIN: 10.58 MIN: 10.65 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU a b c d 6 12 18 24 30 24.69 24.63 24.69 24.66 MIN: 24.23 MIN: 24.21 MIN: 24.2 MIN: 24.24 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU a b c d 1.2177 2.4354 3.6531 4.8708 6.0885 5.40406 5.38437 5.41218 5.40132 MIN: 4.83 MIN: 4.82 MIN: 4.95 MIN: 4.89 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU a b c d 2 4 6 8 10 7.77149 7.77781 7.78971 7.81788 MIN: 7.33 MIN: 6.99 MIN: 7.33 MIN: 7.38 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU a b c d 1300 2600 3900 5200 6500 5999.75 5986.31 5966.43 5969.93 MIN: 5856.49 MIN: 5849.47 MIN: 5843.14 MIN: 5859.06 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU a b c d 800 1600 2400 3200 4000 3779.53 3794.69 3812.09 3803.40 MIN: 3706.44 MIN: 3708.59 MIN: 3738.88 MIN: 3727.94 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU a b c d 1300 2600 3900 5200 6500 5993.24 5939.53 5993.01 5978.35 MIN: 5863.95 MIN: 5832.94 MIN: 5869.88 MIN: 5854.46 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU
a: The test run did not produce a result.
b: The test run did not produce a result.
c: The test run did not produce a result.
d: The test run did not produce a result.
Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU
a: The test run did not produce a result.
b: The test run did not produce a result.
c: The test run did not produce a result.
d: The test run did not produce a result.
Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU
a: The test run did not produce a result.
b: The test run did not produce a result.
c: The test run did not produce a result.
d: The test run did not produce a result.
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU a b c d 800 1600 2400 3200 4000 3784.40 3786.92 3812.16 3884.74 MIN: 3712.63 MIN: 3712.5 MIN: 3741.61 MIN: 3722.61 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU a b c d 2 4 6 8 10 6.18432 6.18328 6.18500 6.18209 MIN: 5.89 MIN: 5.89 MIN: 5.84 MIN: 5.84 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU a b c d 1300 2600 3900 5200 6500 5985.60 5994.66 5972.93 5947.60 MIN: 5853.82 MIN: 5875.19 MIN: 5831.43 MIN: 5836.18 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU a b c d 800 1600 2400 3200 4000 3794.24 3815.95 3800.18 3807.12 MIN: 3726.72 MIN: 3722.97 MIN: 3726.07 MIN: 3734.02 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
OpenBenchmarking.org ms, Fewer Is Better oneDNN 3.0 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU a b c d 0.8598 1.7196 2.5794 3.4392 4.299 3.82126 3.80520 3.80979 3.82110 MIN: 3.52 MIN: 3.5 MIN: 3.53 MIN: 3.46 1. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl
Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU
a: The test run did not produce a result.
b: The test run did not produce a result.
c: The test run did not produce a result.
d: The test run did not produce a result.
ClickHouse ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ / https://github.com/ClickHouse/ClickBench/tree/main/clickhouse with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all separate queries performed as an aggregate. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, First Run / Cold Cache a b c d 16 32 48 64 80 70.31 71.64 71.20 70.86 MIN: 4.05 / MAX: 2857.14 MIN: 4.06 / MAX: 2727.27 MIN: 4.06 / MAX: 2857.14 MIN: 4.06 / MAX: 3000
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run a b c d 20 40 60 80 100 78.42 77.25 79.55 78.00 MIN: 4.16 / MAX: 3750 MIN: 4.1 / MAX: 4000 MIN: 4.11 / MAX: 4000 MIN: 4.09 / MAX: 3750
OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run a b c d 20 40 60 80 100 77.69 80.28 79.84 78.40 MIN: 4.1 / MAX: 3157.89 MIN: 4.13 / MAX: 4000 MIN: 4.1 / MAX: 3529.41 MIN: 4.09 / MAX: 3529.41
GROMACS The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing with the water_GMX50 data. This test profile allows selecting between CPU and GPU-based GROMACS builds. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Ns Per Day, More Is Better GROMACS 2023 Implementation: MPI CPU - Input: water_GMX50_bare a b c d 0.1348 0.2696 0.4044 0.5392 0.674 0.596 0.599 0.599 0.599 1. (CXX) g++ options: -O3
OpenVINO This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU a b c d 0.3173 0.6346 0.9519 1.2692 1.5865 1.41 1.41 1.41 1.41 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16 - Device: CPU a b c d 600 1200 1800 2400 3000 2829.05 2822.04 2816.87 2815.26 MIN: 2732.96 / MAX: 2889.33 MIN: 2686.06 / MAX: 2885.69 MIN: 2668.11 / MAX: 2932.48 MIN: 2670.73 / MAX: 2894.23 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU a b c d 0.2003 0.4006 0.6009 0.8012 1.0015 0.89 0.89 0.89 0.89 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP16 - Device: CPU a b c d 1000 2000 3000 4000 5000 4454.52 4460.54 4452.48 4467.52 MIN: 4226.15 / MAX: 4554.1 MIN: 4182.65 / MAX: 4571.77 MIN: 4311.42 / MAX: 4599.73 MIN: 4310.55 / MAX: 4552.59 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU a b c d 0.198 0.396 0.594 0.792 0.99 0.88 0.88 0.88 0.88 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Detection FP32 - Device: CPU a b c d 1000 2000 3000 4000 5000 4511.00 4522.07 4510.26 4508.60 MIN: 4277.73 / MAX: 4619.18 MIN: 4370.41 / MAX: 4605.21 MIN: 4325.82 / MAX: 4650.92 MIN: 4330.58 / MAX: 4608.73 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU a b c d 30 60 90 120 150 111.89 112.09 111.59 111.98 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16 - Device: CPU a b c d 8 16 24 32 40 35.70 35.64 35.80 35.67 MIN: 26.15 / MAX: 50.93 MIN: 27.61 / MAX: 54.37 MIN: 25.82 / MAX: 56.31 MIN: 26.68 / MAX: 56.55 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU a b c d 0.4073 0.8146 1.2219 1.6292 2.0365 1.80 1.81 1.80 1.80 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Face Detection FP16-INT8 - Device: CPU a b c d 500 1000 1500 2000 2500 2214.08 2202.23 2207.67 2212.10 MIN: 2122.95 / MAX: 2300.89 MIN: 2135.52 / MAX: 2322.48 MIN: 2113.81 / MAX: 2297.03 MIN: 2120.01 / MAX: 2308.75 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU a b c d 30 60 90 120 150 140.13 140.21 140.38 139.94 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Vehicle Detection FP16-INT8 - Device: CPU a b c d 7 14 21 28 35 28.53 28.51 28.47 28.57 MIN: 25.61 / MAX: 39.18 MIN: 25.23 / MAX: 38.75 MIN: 25.24 / MAX: 37.52 MIN: 25.28 / MAX: 38.92 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU a b c d 30 60 90 120 150 139.18 139.31 138.54 139.00 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16 - Device: CPU a b c d 7 14 21 28 35 28.71 28.69 28.84 28.75 MIN: 25.18 / MAX: 43.17 MIN: 25.06 / MAX: 40.45 MIN: 25.03 / MAX: 40.55 MIN: 25.27 / MAX: 42.93 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU a b c d 4 8 12 16 20 13.81 13.80 13.52 13.70 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Machine Translation EN To DE FP16 - Device: CPU a b c d 60 120 180 240 300 289.37 289.42 295.62 291.20 MIN: 248.93 / MAX: 310.27 MIN: 226.5 / MAX: 316.33 MIN: 259.91 / MAX: 335.27 MIN: 219.34 / MAX: 318.73 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c d 40 80 120 160 200 191.52 191.66 191.70 191.79 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Weld Porosity Detection FP16-INT8 - Device: CPU a b c d 7 14 21 28 35 31.30 31.27 31.27 31.25 MIN: 29.32 / MAX: 38.58 MIN: 29.34 / MAX: 48.23 MIN: 29.36 / MAX: 39.8 MIN: 29.17 / MAX: 40.01 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c d 40 80 120 160 200 200.69 200.29 199.96 200.13 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Person Vehicle Bike Detection FP16 - Device: CPU a b c d 5 10 15 20 25 19.90 19.94 19.97 19.96 MIN: 17.55 / MAX: 30.1 MIN: 17.26 / MAX: 30.03 MIN: 16.78 / MAX: 53.46 MIN: 17.53 / MAX: 29.46 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c d 700 1400 2100 2800 3500 3228.64 3232.73 3223.52 3225.98 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU a b c d 0.4095 0.819 1.2285 1.638 2.0475 1.82 1.82 1.82 1.82 MIN: 1.43 / MAX: 7.98 MIN: 1.41 / MAX: 11.9 MIN: 1.4 / MAX: 9.01 MIN: 1.42 / MAX: 7.37 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org FPS, More Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c d 700 1400 2100 2800 3500 3428.31 3412.02 3424.00 3416.70 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org ms, Fewer Is Better OpenVINO 2022.3 Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU a b c d 0.387 0.774 1.161 1.548 1.935 1.71 1.72 1.71 1.72 MIN: 1.34 / MAX: 9.13 MIN: 1.27 / MAX: 11.82 MIN: 1.29 / MAX: 7.95 MIN: 1.36 / MAX: 12.67 1. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Read a b c d 5M 10M 15M 20M 25M 22199286 20383803 22264373 22315684 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Update Random a b c d 70K 140K 210K 280K 350K 303389 303486 307730 303208 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Sequential Fill a b c d 200K 400K 600K 800K 1000K 809744 819537 811980 783832 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Fill Sync a b c d 160K 320K 480K 640K 800K 717935 728367 719010 726142 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Read While Writing a b c d 200K 400K 600K 800K 1000K 930578 928106 939751 955282 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Read Random Write Random a b c d 200K 400K 600K 800K 1000K 899139 871244 897512 898034 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Numenta Anomaly Benchmark Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial time-series data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: KNN CAD a b c d 80 160 240 320 400 380.61 385.35 381.85 388.21
BRL-CAD BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.
OpenBenchmarking.org VGR Performance Metric, More Is Better BRL-CAD 7.34 VGR Performance Metric a b c d 20K 40K 60K 80K 100K 81607 81095 81180 80823 1. (CXX) g++ options: -std=c++14 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -ltcl8.6 -lregex_brl -lz_brl -lnetpbm -ldl -lm -ltk8.6
a Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vProcessor Notes: Scaling Governor: amd-pstate ondemand (Boost: Enabled) - CPU Microcode: 0x8608103Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016Python Notes: Python 3.10.6Security Notes: 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 15 February 2023 12:04 by user phoronix.
b Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vProcessor Notes: Scaling Governor: amd-pstate ondemand (Boost: Enabled) - CPU Microcode: 0x8608103Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016Python Notes: Python 3.10.6Security Notes: 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 15 February 2023 15:35 by user phoronix.
c Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vProcessor Notes: Scaling Governor: amd-pstate ondemand (Boost: Enabled) - CPU Microcode: 0x8608103Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016Python Notes: Python 3.10.6Security Notes: 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 15 February 2023 19:09 by user phoronix.
d Processor: AMD Ryzen 5 5500U @ 4.06GHz (6 Cores / 12 Threads), Motherboard: NB01 NL5xNU (1.07.11RTR1 BIOS), Chipset: AMD Renoir/Cezanne, Memory: 16GB, Disk: Samsung SSD 970 EVO Plus 500GB, Graphics: AMD Lucienne 512MB (1800/400MHz), Audio: AMD Renoir Radeon HD Audio, Network: Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX200
OS: Tuxedo 22.04, Kernel: 6.0.0-1010-oem (x86_64), Desktop: KDE Plasma 5.26.5, Display Server: X Server 1.21.1.3, OpenGL: 4.6 Mesa 22.3.4 (LLVM 14.0.0 DRM 3.48), Vulkan: 1.3.230, Compiler: GCC 11.3.0, File-System: ext4, Screen Resolution: 1920x1080
Kernel Notes: Transparent Huge Pages: madviseCompiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,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-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/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 -vProcessor Notes: Scaling Governor: amd-pstate ondemand (Boost: Enabled) - CPU Microcode: 0x8608103Graphics Notes: GLAMOR - BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-LUCIENNE-016Python Notes: Python 3.10.6Security Notes: 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 STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected
Testing initiated at 16 February 2023 05:10 by user phoronix.