2023 new AMD Ryzen Threadripper 3970X 32-Core testing with a ASUS ROG ZENITH II EXTREME (1603 BIOS) and AMD Radeon RX 5700 8GB on Ubuntu 22.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2302069-NE-2023NEW4563 .
2023 new Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server OpenGL Vulkan Compiler File-System Screen Resolution a b c AMD Ryzen Threadripper 3970X 32-Core @ 3.70GHz (32 Cores / 64 Threads) ASUS ROG ZENITH II EXTREME (1603 BIOS) AMD Starship/Matisse 4 x 16 GB DDR4-3600MT/s Corsair CMT64GX4M4Z3600C16 Samsung SSD 980 PRO 500GB AMD Radeon RX 5700 8GB (1750/875MHz) AMD Navi 10 HDMI Audio ASUS VP28U Aquantia AQC107 NBase-T/IEEE + Intel I211 + Intel Wi-Fi 6 AX200 Ubuntu 22.04 5.19.0-051900rc7-generic (x86_64) GNOME Shell 42.2 X Server 4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47) 1.2.204 GCC 11.3.0 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-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 Processor Details - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x830104d Java Details - OpenJDK Runtime Environment (build 11.0.17+8-post-Ubuntu-1ubuntu222.04) Python Details - Python 3.10.6 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 STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected
2023 new vvenc: Bosphorus 4K - Fast vvenc: Bosphorus 4K - Faster vvenc: Bosphorus 1080p - Fast vvenc: Bosphorus 1080p - Faster clickhouse: 100M Rows Hits Dataset, First Run / Cold Cache clickhouse: 100M Rows Hits Dataset, Second Run clickhouse: 100M Rows Hits Dataset, Third Run spark: 1000000 - 100 - SHA-512 Benchmark Time spark: 1000000 - 100 - Calculate Pi Benchmark spark: 1000000 - 100 - Calculate Pi Benchmark Using Dataframe spark: 1000000 - 100 - Group By Test Time spark: 1000000 - 100 - Repartition Test Time spark: 1000000 - 100 - Inner Join Test Time spark: 1000000 - 100 - Broadcast Inner Join Test Time spark: 1000000 - 500 - SHA-512 Benchmark Time spark: 1000000 - 500 - Calculate Pi Benchmark spark: 1000000 - 500 - Calculate Pi Benchmark Using Dataframe spark: 1000000 - 500 - Group By Test Time spark: 1000000 - 500 - Repartition Test Time spark: 1000000 - 500 - Inner Join Test Time spark: 1000000 - 500 - Broadcast Inner Join Test Time spark: 1000000 - 1000 - SHA-512 Benchmark Time spark: 1000000 - 1000 - Calculate Pi Benchmark spark: 1000000 - 1000 - Calculate Pi Benchmark Using Dataframe spark: 1000000 - 1000 - Group By Test Time spark: 1000000 - 1000 - Repartition Test Time spark: 1000000 - 1000 - Inner Join Test Time spark: 1000000 - 1000 - Broadcast Inner Join Test Time spark: 1000000 - 2000 - SHA-512 Benchmark Time spark: 1000000 - 2000 - Calculate Pi Benchmark spark: 1000000 - 2000 - Calculate Pi Benchmark Using Dataframe spark: 1000000 - 2000 - Group By Test Time spark: 1000000 - 2000 - Repartition Test Time spark: 1000000 - 2000 - Inner Join Test Time spark: 1000000 - 2000 - Broadcast Inner Join Test Time spark: 10000000 - 100 - SHA-512 Benchmark Time spark: 10000000 - 100 - Calculate Pi Benchmark spark: 10000000 - 100 - Calculate Pi Benchmark Using Dataframe spark: 10000000 - 100 - Group By Test Time spark: 10000000 - 100 - Repartition Test Time spark: 10000000 - 100 - Inner Join Test Time spark: 10000000 - 100 - Broadcast Inner Join Test Time spark: 10000000 - 500 - SHA-512 Benchmark Time spark: 10000000 - 500 - Calculate Pi Benchmark spark: 10000000 - 500 - Calculate Pi Benchmark Using Dataframe spark: 10000000 - 500 - Group By Test Time spark: 10000000 - 500 - Repartition Test Time spark: 10000000 - 500 - Inner Join Test Time spark: 10000000 - 500 - Broadcast Inner Join Test Time spark: 20000000 - 100 - SHA-512 Benchmark Time spark: 20000000 - 100 - Calculate Pi Benchmark spark: 20000000 - 100 - Calculate Pi Benchmark Using Dataframe spark: 20000000 - 100 - Group By Test Time spark: 20000000 - 100 - Repartition Test Time spark: 20000000 - 100 - Inner Join Test Time spark: 20000000 - 100 - Broadcast Inner Join Test Time spark: 20000000 - 500 - SHA-512 Benchmark Time spark: 20000000 - 500 - Calculate Pi Benchmark spark: 20000000 - 500 - Calculate Pi Benchmark Using Dataframe spark: 20000000 - 500 - Group By Test Time spark: 20000000 - 500 - Repartition Test Time spark: 20000000 - 500 - Inner Join Test Time spark: 20000000 - 500 - Broadcast Inner Join Test Time spark: 40000000 - 100 - SHA-512 Benchmark Time spark: 40000000 - 100 - Calculate Pi Benchmark spark: 40000000 - 100 - Calculate Pi Benchmark Using Dataframe spark: 40000000 - 100 - Group By Test Time spark: 40000000 - 100 - Repartition Test Time spark: 40000000 - 100 - Inner Join Test Time spark: 40000000 - 100 - Broadcast Inner Join Test Time spark: 40000000 - 500 - SHA-512 Benchmark Time spark: 40000000 - 500 - Calculate Pi Benchmark spark: 40000000 - 500 - Calculate Pi Benchmark Using Dataframe spark: 40000000 - 500 - Group By Test Time spark: 40000000 - 500 - Repartition Test Time spark: 40000000 - 500 - Inner Join Test Time spark: 40000000 - 500 - Broadcast Inner Join Test Time spark: 10000000 - 1000 - SHA-512 Benchmark Time spark: 10000000 - 1000 - Calculate Pi Benchmark spark: 10000000 - 1000 - Calculate Pi Benchmark Using Dataframe spark: 10000000 - 1000 - Group By Test Time spark: 10000000 - 1000 - Repartition Test Time spark: 10000000 - 1000 - Inner Join Test Time spark: 10000000 - 1000 - Broadcast Inner Join Test Time spark: 10000000 - 2000 - SHA-512 Benchmark Time spark: 10000000 - 2000 - Calculate Pi Benchmark spark: 10000000 - 2000 - Calculate Pi Benchmark Using Dataframe spark: 10000000 - 2000 - Group By Test Time spark: 10000000 - 2000 - Repartition Test Time spark: 10000000 - 2000 - Inner Join Test Time spark: 10000000 - 2000 - Broadcast Inner Join Test Time spark: 20000000 - 1000 - SHA-512 Benchmark Time spark: 20000000 - 1000 - Calculate Pi Benchmark spark: 20000000 - 1000 - Calculate Pi Benchmark Using Dataframe spark: 20000000 - 1000 - Group By Test Time spark: 20000000 - 1000 - Repartition Test Time spark: 20000000 - 1000 - Inner Join Test Time spark: 20000000 - 1000 - Broadcast Inner Join Test Time spark: 20000000 - 2000 - SHA-512 Benchmark Time spark: 20000000 - 2000 - Calculate Pi Benchmark spark: 20000000 - 2000 - Calculate Pi Benchmark Using Dataframe spark: 20000000 - 2000 - Group By Test Time spark: 20000000 - 2000 - Repartition Test Time spark: 20000000 - 2000 - Inner Join Test Time spark: 20000000 - 2000 - Broadcast Inner Join Test Time spark: 40000000 - 1000 - SHA-512 Benchmark Time spark: 40000000 - 1000 - Calculate Pi Benchmark spark: 40000000 - 1000 - Calculate Pi Benchmark Using Dataframe spark: 40000000 - 1000 - Group By Test Time spark: 40000000 - 1000 - Repartition Test Time spark: 40000000 - 1000 - Inner Join Test Time spark: 40000000 - 1000 - Broadcast Inner Join Test Time spark: 40000000 - 2000 - SHA-512 Benchmark Time spark: 40000000 - 2000 - Calculate Pi Benchmark spark: 40000000 - 2000 - Calculate Pi Benchmark Using Dataframe spark: 40000000 - 2000 - Group By Test Time spark: 40000000 - 2000 - Repartition Test Time spark: 40000000 - 2000 - Inner Join Test Time spark: 40000000 - 2000 - Broadcast Inner Join Test Time memcached: 1:1 memcached: 1:5 memcached: 1:10 memcached: 1:100 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 cloudsuite-da: 1 cloudsuite-da: 4 cloudsuite-da: 8 cloudsuite-da: 32 cloudsuite-da: 64 cloudsuite-ga: Page Rank cloudsuite-ga: Connected Components cloudsuite-ma: Large cloudsuite-ma: Small cloudsuite-ws: 100 cloudsuite-ws: 400 cloudsuite-ws: 500 openems: pyEMS Coupler openems: openEMS MSL_NotchFilter 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 a b c 3.809 8.933 7.434 17.354 216.80 240.84 231.92 3.16 56.163009335 3.43 4.55 1.611880247 1.46 1.01 3.34 56.412917347 3.39 4.55 1.75 1.79 1.31 3.42 56.465280056 3.46 4.91 1.914188324 1.89 1.50 3.52 55.89 3.383115781 4.93 2.19 1.94 2.16 8.644669927 55.27 3.39 6.63 4.87 5.62 4.95 8.72 57.47 3.38 6.28 4.73 5.72 4.82 14.16 56.05 3.39 8.24 8.92 9.86 9.14 14.506732589 54.867541231 3.44 8.30 8.85 9.86 9.35 25.493696189 54.84 3.38 16.85 16.23 18.15 17.07408145 24.982221003 56.75 3.43 17.475921022 16.30 18.08 17.80 8.70 55.96 3.42 6.40 4.87 5.58 4.95 8.94 55.467485505 3.37 6.72 5.61 6.36 6.09 14.51859605 57.363434206 3.39 8.08 8.33 9.93 10.09 15.968747068 55.16 3.41 9.01 9.28 10.43 10.28 26.04 55.599926998 3.44 17.850802691 15.619477007 17.760978601 17.46 25.76 56.778810455 3.40 17.577524785 16.17 19.04 18.23 1591288.82 3640442.11 3706097.76 3226477.91 25.276 632.2714 16.174 61.8205 267.4201 59.7627 77.8733 12.8337 89.9688 177.7953 29.7142 33.645 138.8201 115.1035 67.0891 14.8946 297.474 53.7638 134.7722 7.4128 198.236 80.6837 88.6692 11.2716 32.1884 491.9637 21.3079 46.9171 100.4802 159.2056 42.925 23.2899 25.3246 630.0316 16.0962 62.1193 63396 1282161 1283837 1286055 1280792 11438 14338 143356 45941 19.35 37.15 35.083 19.86 14.63 911640 131073357 788635 1030362 5559 4696370 2763110 3.803 8.883 7.407 17.31 217.01 227.29 233.48 3.09 55.60 3.49 4.27 1.79 1.38 1.05 3.32 56.663847311 3.37 4.84 1.67 1.80 1.39 3.50 55.83 3.40 4.77 1.80 1.74 1.62 3.48 55.60 3.49 4.76 2.20 2.08 1.92 8.48 56.08 3.40 6.48 5.19 5.63 5.18 8.69 55.81 3.43 6.48 4.86 5.56 5.04 14.56 55.16 3.70 7.87 8.82 9.92 9.04 14.44 56.082430322 3.38 8.39 8.93 9.62 9.14 26.56 55.432650962 3.46 16.53 16.24 18.62 17.24 25.35 56.95 3.44 17.42 16.38 18.22 17.32 8.64 54.80 3.51 6.23 4.97 5.66 5.43 9.03 56.34 3.40 6.81 5.28 6.57 6.10 14.51 54.98 3.38 8.11 8.71 10.70 9.48 14.29 55.921352054 3.36 8.84 8.97 10.58 10.55 25.88 56.12 3.40 17.73 16.59 17.786513519 17.48 26.38 55.248415798 3.39 17.60 16.06 18.88 18.17 1602278.84 3667823.02 3712642.45 3238867.13 24.9002 637.1641 16.211 61.6794 266.858 59.9036 76.6236 13.043 89.3862 178.9558 28.6863 34.8511 137.9565 115.7595 67.1395 14.8841 299.1204 53.4673 133.8887 7.4619 198.6864 80.5006 87.4216 11.4328 32.8196 486.1512 21.448 46.6112 100.6949 158.8679 45.2911 22.0731 24.8742 636.9466 16.2251 61.6254 62263 1285523 1276206 1274682 1283914 11307 15387 144863 45704 18.2 37.017 35.733 19.6 14.64 896530 132034808 787714 1003634 3954 4664918 2755551 3.758 8.856 7.415 17.307 206.93 229.25 226.34 3.21 56.04 3.46 4.63 1.63 1.51 1.06 3.25 56.54 3.37 4.55 1.71 1.57 1.18 3.49 55.22 3.40 4.45 1.98 1.88 1.43 3.53 56.58 3.46 4.71 2.03 2.13 1.86 8.84 55.31596326 3.38 6.51 5.17 5.70 5.13 8.75 55.95 3.51 6.36 4.76 5.81 5.08 14.94 56.41 3.44 8.31 8.85 10.441529534 9.24 14.17 54.88 3.38 8.09 9.22 9.73 9.24 25.64 56.378464554 3.47 16.737295642 16.05 18.11 17.07 26.81 55.60 3.43 17.48 15.70 18.15 17.20 8.65 55.10 3.44 6.29 4.88 6.64 5.40 9.16 55.123690729 3.43 6.90 5.20 6.43 6.16 14.16 55.55 3.39 8.19 9.27 9.79 9.32 14.71 56.36 3.41 8.76 9.26 10.44 10.43 26.23 56.872353093 3.45 17.65 15.973349091 18.45 17.79 25.98 55.297873149 3.37 17.65 16.38 19.51 18.81 1614717.75 3637603.67 3711642.32 3212714.28 25.2574 632.761 16.1026 62.0953 268.205 59.6151 77.1214 12.9589 89.0438 179.6446 28.3731 35.2363 138.272 115.4872 67.1327 14.8854 299.9325 53.2992 132.2769 7.553 198.4746 80.5865 88.2231 11.3287 32.4421 492.9379 21.3951 46.7264 100.6041 159.0119 45.6351 21.9057 25.3061 630.9519 16.2116 61.677 64351 1290818 1283805 1277138 1280550 11584 14198 143016 45505 19.6 37.05 34.6 19.88 14.5 911359 131994679 786611 1035331 3996 4696807 2776604 OpenBenchmarking.org
VVenC Video Input: Bosphorus 4K - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Fast a b c 0.857 1.714 2.571 3.428 4.285 3.809 3.803 3.758 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
VVenC Video Input: Bosphorus 4K - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 4K - Video Preset: Faster a b c 2 4 6 8 10 8.933 8.883 8.856 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
VVenC Video Input: Bosphorus 1080p - Video Preset: Fast OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Fast a b c 2 4 6 8 10 7.434 7.407 7.415 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
VVenC Video Input: Bosphorus 1080p - Video Preset: Faster OpenBenchmarking.org Frames Per Second, More Is Better VVenC 1.7 Video Input: Bosphorus 1080p - Video Preset: Faster a b c 4 8 12 16 20 17.35 17.31 17.31 1. (CXX) g++ options: -O3 -flto -fno-fat-lto-objects -flto=auto
ClickHouse 100M Rows Hits Dataset, First Run / Cold Cache 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 50 100 150 200 250 216.80 217.01 206.93 MIN: 14.82 / MAX: 3529.41 MIN: 15.02 / MAX: 2608.7 MIN: 15.36 / MAX: 3000
ClickHouse 100M Rows Hits Dataset, Second Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Second Run a b c 50 100 150 200 250 240.84 227.29 229.25 MIN: 24.26 / MAX: 3750 MIN: 24.14 / MAX: 3333.33 MIN: 24.51 / MAX: 3157.89
ClickHouse 100M Rows Hits Dataset, Third Run OpenBenchmarking.org Queries Per Minute, Geo Mean, More Is Better ClickHouse 22.12.3.5 100M Rows Hits Dataset, Third Run a b c 50 100 150 200 250 231.92 233.48 226.34 MIN: 22.59 / MAX: 2608.7 MIN: 23.7 / MAX: 3157.89 MIN: 22.8 / MAX: 3333.33
Apache Spark Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time a b c 0.7223 1.4446 2.1669 2.8892 3.6115 3.16 3.09 3.21
Apache Spark Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark a b c 13 26 39 52 65 56.16 55.60 56.04
Apache Spark Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe a b c 0.7853 1.5706 2.3559 3.1412 3.9265 3.43 3.49 3.46
Apache Spark Row Count: 1000000 - Partitions: 100 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time a b c 1.0418 2.0836 3.1254 4.1672 5.209 4.55 4.27 4.63
Apache Spark Row Count: 1000000 - Partitions: 100 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time a b c 0.4028 0.8056 1.2084 1.6112 2.014 1.611880247 1.790000000 1.630000000
Apache Spark Row Count: 1000000 - Partitions: 100 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time a b c 0.3398 0.6796 1.0194 1.3592 1.699 1.46 1.38 1.51
Apache Spark Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time a b c 0.2385 0.477 0.7155 0.954 1.1925 1.01 1.05 1.06
Apache Spark Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time a b c 0.7515 1.503 2.2545 3.006 3.7575 3.34 3.32 3.25
Apache Spark Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark a b c 13 26 39 52 65 56.41 56.66 56.54
Apache Spark Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe a b c 0.7628 1.5256 2.2884 3.0512 3.814 3.39 3.37 3.37
Apache Spark Row Count: 1000000 - Partitions: 500 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Group By Test Time a b c 1.089 2.178 3.267 4.356 5.445 4.55 4.84 4.55
Apache Spark Row Count: 1000000 - Partitions: 500 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time a b c 0.3938 0.7876 1.1814 1.5752 1.969 1.75 1.67 1.71
Apache Spark Row Count: 1000000 - Partitions: 500 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time a b c 0.405 0.81 1.215 1.62 2.025 1.79 1.80 1.57
Apache Spark Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time a b c 0.3128 0.6256 0.9384 1.2512 1.564 1.31 1.39 1.18
Apache Spark Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time a b c 0.7875 1.575 2.3625 3.15 3.9375 3.42 3.50 3.49
Apache Spark Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark a b c 13 26 39 52 65 56.47 55.83 55.22
Apache Spark Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe a b c 0.7785 1.557 2.3355 3.114 3.8925 3.46 3.40 3.40
Apache Spark Row Count: 1000000 - Partitions: 1000 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Group By Test Time a b c 1.1048 2.2096 3.3144 4.4192 5.524 4.91 4.77 4.45
Apache Spark Row Count: 1000000 - Partitions: 1000 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time a b c 0.4455 0.891 1.3365 1.782 2.2275 1.914188324 1.800000000 1.980000000
Apache Spark Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time a b c 0.4253 0.8506 1.2759 1.7012 2.1265 1.89 1.74 1.88
Apache Spark Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time a b c 0.3645 0.729 1.0935 1.458 1.8225 1.50 1.62 1.43
Apache Spark Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time a b c 0.7943 1.5886 2.3829 3.1772 3.9715 3.52 3.48 3.53
Apache Spark Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark a b c 13 26 39 52 65 55.89 55.60 56.58
Apache Spark Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe a b c 0.7853 1.5706 2.3559 3.1412 3.9265 3.383115781 3.490000000 3.460000000
Apache Spark Row Count: 1000000 - Partitions: 2000 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Group By Test Time a b c 1.1093 2.2186 3.3279 4.4372 5.5465 4.93 4.76 4.71
Apache Spark Row Count: 1000000 - Partitions: 2000 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time a b c 0.495 0.99 1.485 1.98 2.475 2.19 2.20 2.03
Apache Spark Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time a b c 0.4793 0.9586 1.4379 1.9172 2.3965 1.94 2.08 2.13
Apache Spark Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time a b c 0.486 0.972 1.458 1.944 2.43 2.16 1.92 1.86
Apache Spark Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time a b c 2 4 6 8 10 8.644669927 8.480000000 8.840000000
Apache Spark Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark a b c 13 26 39 52 65 55.27 56.08 55.32
Apache Spark Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe a b c 0.765 1.53 2.295 3.06 3.825 3.39 3.40 3.38
Apache Spark Row Count: 10000000 - Partitions: 100 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Group By Test Time a b c 2 4 6 8 10 6.63 6.48 6.51
Apache Spark Row Count: 10000000 - Partitions: 100 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Repartition Test Time a b c 1.1678 2.3356 3.5034 4.6712 5.839 4.87 5.19 5.17
Apache Spark Row Count: 10000000 - Partitions: 100 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time a b c 1.2825 2.565 3.8475 5.13 6.4125 5.62 5.63 5.70
Apache Spark Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time a b c 1.1655 2.331 3.4965 4.662 5.8275 4.95 5.18 5.13
Apache Spark Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time a b c 2 4 6 8 10 8.72 8.69 8.75
Apache Spark Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark a b c 13 26 39 52 65 57.47 55.81 55.95
Apache Spark Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe a b c 0.7898 1.5796 2.3694 3.1592 3.949 3.38 3.43 3.51
Apache Spark Row Count: 10000000 - Partitions: 500 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Group By Test Time a b c 2 4 6 8 10 6.28 6.48 6.36
Apache Spark Row Count: 10000000 - Partitions: 500 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Repartition Test Time a b c 1.0935 2.187 3.2805 4.374 5.4675 4.73 4.86 4.76
Apache Spark Row Count: 10000000 - Partitions: 500 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Inner Join Test Time a b c 1.3073 2.6146 3.9219 5.2292 6.5365 5.72 5.56 5.81
Apache Spark Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time a b c 1.143 2.286 3.429 4.572 5.715 4.82 5.04 5.08
Apache Spark Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time a b c 4 8 12 16 20 14.16 14.56 14.94
Apache Spark Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark a b c 13 26 39 52 65 56.05 55.16 56.41
Apache Spark Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe a b c 0.8325 1.665 2.4975 3.33 4.1625 3.39 3.70 3.44
Apache Spark Row Count: 20000000 - Partitions: 100 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Group By Test Time a b c 2 4 6 8 10 8.24 7.87 8.31
Apache Spark Row Count: 20000000 - Partitions: 100 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Repartition Test Time a b c 2 4 6 8 10 8.92 8.82 8.85
Apache Spark Row Count: 20000000 - Partitions: 100 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Inner Join Test Time a b c 3 6 9 12 15 9.860000000 9.920000000 10.441529534
Apache Spark Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time a b c 3 6 9 12 15 9.14 9.04 9.24
Apache Spark Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time a b c 4 8 12 16 20 14.51 14.44 14.17
Apache Spark Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark a b c 13 26 39 52 65 54.87 56.08 54.88
Apache Spark Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe a b c 0.774 1.548 2.322 3.096 3.87 3.44 3.38 3.38
Apache Spark Row Count: 20000000 - Partitions: 500 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Group By Test Time a b c 2 4 6 8 10 8.30 8.39 8.09
Apache Spark Row Count: 20000000 - Partitions: 500 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Repartition Test Time a b c 3 6 9 12 15 8.85 8.93 9.22
Apache Spark Row Count: 20000000 - Partitions: 500 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Inner Join Test Time a b c 3 6 9 12 15 9.86 9.62 9.73
Apache Spark Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time a b c 3 6 9 12 15 9.35 9.14 9.24
Apache Spark Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time a b c 6 12 18 24 30 25.49 26.56 25.64
Apache Spark Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark a b c 13 26 39 52 65 54.84 55.43 56.38
Apache Spark Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe a b c 0.7808 1.5616 2.3424 3.1232 3.904 3.38 3.46 3.47
Apache Spark Row Count: 40000000 - Partitions: 100 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Group By Test Time a b c 4 8 12 16 20 16.85 16.53 16.74
Apache Spark Row Count: 40000000 - Partitions: 100 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Repartition Test Time a b c 4 8 12 16 20 16.23 16.24 16.05
Apache Spark Row Count: 40000000 - Partitions: 100 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Inner Join Test Time a b c 5 10 15 20 25 18.15 18.62 18.11
Apache Spark Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time a b c 4 8 12 16 20 17.07 17.24 17.07
Apache Spark Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time a b c 6 12 18 24 30 24.98 25.35 26.81
Apache Spark Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark a b c 13 26 39 52 65 56.75 56.95 55.60
Apache Spark Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe a b c 0.774 1.548 2.322 3.096 3.87 3.43 3.44 3.43
Apache Spark Row Count: 40000000 - Partitions: 500 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Group By Test Time a b c 4 8 12 16 20 17.48 17.42 17.48
Apache Spark Row Count: 40000000 - Partitions: 500 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Repartition Test Time a b c 4 8 12 16 20 16.30 16.38 15.70
Apache Spark Row Count: 40000000 - Partitions: 500 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Inner Join Test Time a b c 4 8 12 16 20 18.08 18.22 18.15
Apache Spark Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time a b c 4 8 12 16 20 17.80 17.32 17.20
Apache Spark Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time a b c 2 4 6 8 10 8.70 8.64 8.65
Apache Spark Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark a b c 13 26 39 52 65 55.96 54.80 55.10
Apache Spark Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe a b c 0.7898 1.5796 2.3694 3.1592 3.949 3.42 3.51 3.44
Apache Spark Row Count: 10000000 - Partitions: 1000 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Group By Test Time a b c 2 4 6 8 10 6.40 6.23 6.29
Apache Spark Row Count: 10000000 - Partitions: 1000 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time a b c 1.1183 2.2366 3.3549 4.4732 5.5915 4.87 4.97 4.88
Apache Spark Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time a b c 2 4 6 8 10 5.58 5.66 6.64
Apache Spark Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time a b c 1.2218 2.4436 3.6654 4.8872 6.109 4.95 5.43 5.40
Apache Spark Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time a b c 3 6 9 12 15 8.94 9.03 9.16
Apache Spark Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark a b c 13 26 39 52 65 55.47 56.34 55.12
Apache Spark Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe a b c 0.7718 1.5436 2.3154 3.0872 3.859 3.37 3.40 3.43
Apache Spark Row Count: 10000000 - Partitions: 2000 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Group By Test Time a b c 2 4 6 8 10 6.72 6.81 6.90
Apache Spark Row Count: 10000000 - Partitions: 2000 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time a b c 1.2623 2.5246 3.7869 5.0492 6.3115 5.61 5.28 5.20
Apache Spark Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time a b c 2 4 6 8 10 6.36 6.57 6.43
Apache Spark Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time a b c 2 4 6 8 10 6.09 6.10 6.16
Apache Spark Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time a b c 4 8 12 16 20 14.52 14.51 14.16
Apache Spark Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark a b c 13 26 39 52 65 57.36 54.98 55.55
Apache Spark Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe a b c 0.7628 1.5256 2.2884 3.0512 3.814 3.39 3.38 3.39
Apache Spark Row Count: 20000000 - Partitions: 1000 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Group By Test Time a b c 2 4 6 8 10 8.08 8.11 8.19
Apache Spark Row Count: 20000000 - Partitions: 1000 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Repartition Test Time a b c 3 6 9 12 15 8.33 8.71 9.27
Apache Spark Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time a b c 3 6 9 12 15 9.93 10.70 9.79
Apache Spark Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time a b c 3 6 9 12 15 10.09 9.48 9.32
Apache Spark Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time a b c 4 8 12 16 20 15.97 14.29 14.71
Apache Spark Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark a b c 13 26 39 52 65 55.16 55.92 56.36
Apache Spark Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe a b c 0.7673 1.5346 2.3019 3.0692 3.8365 3.41 3.36 3.41
Apache Spark Row Count: 20000000 - Partitions: 2000 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Group By Test Time a b c 3 6 9 12 15 9.01 8.84 8.76
Apache Spark Row Count: 20000000 - Partitions: 2000 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Repartition Test Time a b c 3 6 9 12 15 9.28 8.97 9.26
Apache Spark Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time a b c 3 6 9 12 15 10.43 10.58 10.44
Apache Spark Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time a b c 3 6 9 12 15 10.28 10.55 10.43
Apache Spark Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time a b c 6 12 18 24 30 26.04 25.88 26.23
Apache Spark Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark a b c 13 26 39 52 65 55.60 56.12 56.87
Apache Spark Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe a b c 0.7763 1.5526 2.3289 3.1052 3.8815 3.44 3.40 3.45
Apache Spark Row Count: 40000000 - Partitions: 1000 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Group By Test Time a b c 4 8 12 16 20 17.85 17.73 17.65
Apache Spark Row Count: 40000000 - Partitions: 1000 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Repartition Test Time a b c 4 8 12 16 20 15.62 16.59 15.97
Apache Spark Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time a b c 5 10 15 20 25 17.76 17.79 18.45
Apache Spark Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time a b c 4 8 12 16 20 17.46 17.48 17.79
Apache Spark Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time a b c 6 12 18 24 30 25.76 26.38 25.98
Apache Spark Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark a b c 13 26 39 52 65 56.78 55.25 55.30
Apache Spark Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe a b c 0.765 1.53 2.295 3.06 3.825 3.40 3.39 3.37
Apache Spark Row Count: 40000000 - Partitions: 2000 - Group By Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Group By Test Time a b c 4 8 12 16 20 17.58 17.60 17.65
Apache Spark Row Count: 40000000 - Partitions: 2000 - Repartition Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Repartition Test Time a b c 4 8 12 16 20 16.17 16.06 16.38
Apache Spark Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time a b c 5 10 15 20 25 19.04 18.88 19.51
Apache Spark Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time a b c 5 10 15 20 25 18.23 18.17 18.81
Memcached Set To Get Ratio: 1:1 OpenBenchmarking.org Ops/sec, More Is Better Memcached 1.6.18 Set To Get Ratio: 1:1 a b c 300K 600K 900K 1200K 1500K 1591288.82 1602278.84 1614717.75 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Memcached Set To Get Ratio: 1:5 OpenBenchmarking.org Ops/sec, More Is Better Memcached 1.6.18 Set To Get Ratio: 1:5 a b c 800K 1600K 2400K 3200K 4000K 3640442.11 3667823.02 3637603.67 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Memcached Set To Get Ratio: 1:10 OpenBenchmarking.org Ops/sec, More Is Better Memcached 1.6.18 Set To Get Ratio: 1:10 a b c 800K 1600K 2400K 3200K 4000K 3706097.76 3712642.45 3711642.32 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Memcached Set To Get Ratio: 1:100 OpenBenchmarking.org Ops/sec, More Is Better Memcached 1.6.18 Set To Get Ratio: 1:100 a b c 700K 1400K 2100K 2800K 3500K 3226477.91 3238867.13 3212714.28 1. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream a b c 6 12 18 24 30 25.28 24.90 25.26
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Stream a b c 140 280 420 560 700 632.27 637.16 632.76
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream a b c 4 8 12 16 20 16.17 16.21 16.10
Neural Magic DeepSparse Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Synchronous Single-Stream a b c 14 28 42 56 70 61.82 61.68 62.10
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream a b c 60 120 180 240 300 267.42 266.86 268.21
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Asynchronous Multi-Stream a b c 13 26 39 52 65 59.76 59.90 59.62
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream a b c 20 40 60 80 100 77.87 76.62 77.12
Neural Magic DeepSparse Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Sentiment Analysis, 80% Pruned Quantized BERT Base Uncased - Scenario: Synchronous Single-Stream a b c 3 6 9 12 15 12.83 13.04 12.96
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream a b c 20 40 60 80 100 89.97 89.39 89.04
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Asynchronous Multi-Stream a b c 40 80 120 160 200 177.80 178.96 179.64
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream a b c 7 14 21 28 35 29.71 28.69 28.37
Neural Magic DeepSparse Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Question Answering, BERT base uncased SQuaD 12layer Pruned90 - Scenario: Synchronous Single-Stream a b c 8 16 24 32 40 33.65 34.85 35.24
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream a b c 30 60 90 120 150 138.82 137.96 138.27
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Stream a b c 30 60 90 120 150 115.10 115.76 115.49
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream a b c 15 30 45 60 75 67.09 67.14 67.13
Neural Magic DeepSparse Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Detection, YOLOv5s COCO - Scenario: Synchronous Single-Stream a b c 4 8 12 16 20 14.89 14.88 14.89
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream a b c 70 140 210 280 350 297.47 299.12 299.93
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Stream a b c 12 24 36 48 60 53.76 53.47 53.30
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream a b c 30 60 90 120 150 134.77 133.89 132.28
Neural Magic DeepSparse Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Classification, ResNet-50 ImageNet - Scenario: Synchronous Single-Stream a b c 2 4 6 8 10 7.4128 7.4619 7.5530
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream a b c 40 80 120 160 200 198.24 198.69 198.47
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Stream a b c 20 40 60 80 100 80.68 80.50 80.59
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream a b c 20 40 60 80 100 88.67 87.42 88.22
Neural Magic DeepSparse Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, DistilBERT mnli - Scenario: Synchronous Single-Stream a b c 3 6 9 12 15 11.27 11.43 11.33
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream a b c 8 16 24 32 40 32.19 32.82 32.44
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Stream a b c 110 220 330 440 550 491.96 486.15 492.94
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream a b c 5 10 15 20 25 21.31 21.45 21.40
Neural Magic DeepSparse Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Synchronous Single-Stream a b c 11 22 33 44 55 46.92 46.61 46.73
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream a b c 20 40 60 80 100 100.48 100.69 100.60
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Asynchronous Multi-Stream a b c 40 80 120 160 200 159.21 158.87 159.01
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream a b c 10 20 30 40 50 42.93 45.29 45.64
Neural Magic DeepSparse Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Text Classification, BERT base uncased SST2 - Scenario: Synchronous Single-Stream a b c 6 12 18 24 30 23.29 22.07 21.91
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream a b c 6 12 18 24 30 25.32 24.87 25.31
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Stream a b c 140 280 420 560 700 630.03 636.95 630.95
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream OpenBenchmarking.org items/sec, More Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream a b c 4 8 12 16 20 16.10 16.23 16.21
Neural Magic DeepSparse Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream OpenBenchmarking.org ms/batch, Fewer Is Better Neural Magic DeepSparse 1.3.2 Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Synchronous Single-Stream a b c 14 28 42 56 70 62.12 61.63 61.68
CloudSuite Data Analytics Hadoop Slaves: 1 OpenBenchmarking.org ms, Fewer Is Better CloudSuite Data Analytics 4.0 Hadoop Slaves: 1 a b c 14K 28K 42K 56K 70K 63396 62263 64351
CloudSuite Data Analytics Hadoop Slaves: 4 OpenBenchmarking.org ms, Fewer Is Better CloudSuite Data Analytics 4.0 Hadoop Slaves: 4 a b c 300K 600K 900K 1200K 1500K 1282161 1285523 1290818
CloudSuite Data Analytics Hadoop Slaves: 8 OpenBenchmarking.org ms, Fewer Is Better CloudSuite Data Analytics 4.0 Hadoop Slaves: 8 a b c 300K 600K 900K 1200K 1500K 1283837 1276206 1283805
CloudSuite Data Analytics Hadoop Slaves: 32 OpenBenchmarking.org ms, Fewer Is Better CloudSuite Data Analytics 4.0 Hadoop Slaves: 32 a b c 300K 600K 900K 1200K 1500K 1286055 1274682 1277138
CloudSuite Data Analytics Hadoop Slaves: 64 OpenBenchmarking.org ms, Fewer Is Better CloudSuite Data Analytics 4.0 Hadoop Slaves: 64 a b c 300K 600K 900K 1200K 1500K 1280792 1283914 1280550
CloudSuite Graph Analytics GraphX Algorithm: Page Rank OpenBenchmarking.org ms, Fewer Is Better CloudSuite Graph Analytics 4.0 GraphX Algorithm: Page Rank a b c 2K 4K 6K 8K 10K 11438 11307 11584
CloudSuite Graph Analytics GraphX Algorithm: Connected Components OpenBenchmarking.org ms, Fewer Is Better CloudSuite Graph Analytics 4.0 GraphX Algorithm: Connected Components a b c 3K 6K 9K 12K 15K 14338 15387 14198
CloudSuite In-Memory Analytics Training Set Size: Large OpenBenchmarking.org ms, Fewer Is Better CloudSuite In-Memory Analytics 4.0 Training Set Size: Large a b c 30K 60K 90K 120K 150K 143356 144863 143016
CloudSuite In-Memory Analytics Training Set Size: Small OpenBenchmarking.org ms, Fewer Is Better CloudSuite In-Memory Analytics 4.0 Training Set Size: Small a b c 10K 20K 30K 40K 50K 45941 45704 45505
CloudSuite Web Serving Load Scale: 100 OpenBenchmarking.org ops/sec, More Is Better CloudSuite Web Serving Load Scale: 100 a b c 5 10 15 20 25 19.35 18.20 19.60
CloudSuite Web Serving Load Scale: 400 OpenBenchmarking.org ops/sec, More Is Better CloudSuite Web Serving Load Scale: 400 a b c 9 18 27 36 45 37.15 37.02 37.05
CloudSuite Web Serving Load Scale: 500 OpenBenchmarking.org ops/sec, More Is Better CloudSuite Web Serving Load Scale: 500 a b c 8 16 24 32 40 35.08 35.73 34.60
OpenEMS Test: pyEMS Coupler OpenBenchmarking.org MCells/s, More Is Better OpenEMS 0.0.35-86 Test: pyEMS Coupler a b c 5 10 15 20 25 19.86 19.60 19.88 1. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat
OpenEMS Test: openEMS MSL_NotchFilter OpenBenchmarking.org MCells/s, More Is Better OpenEMS 0.0.35-86 Test: openEMS MSL_NotchFilter a b c 4 8 12 16 20 14.63 14.64 14.50 1. (CXX) g++ options: -O3 -rdynamic -ltinyxml -lcrypto -lcurl -lpthread -lsz -lz -ldl -lm -lexpat
RocksDB Test: Random Fill OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Fill a b c 200K 400K 600K 800K 1000K 911640 896530 911359 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Random Read OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Read a b c 30M 60M 90M 120M 150M 131073357 132034808 131994679 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Update Random OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Update Random a b c 200K 400K 600K 800K 1000K 788635 787714 786611 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Sequential Fill OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Sequential Fill a b c 200K 400K 600K 800K 1000K 1030362 1003634 1035331 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Random Fill Sync OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Random Fill Sync a b c 1200 2400 3600 4800 6000 5559 3954 3996 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read While Writing OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Read While Writing a b c 1000K 2000K 3000K 4000K 5000K 4696370 4664918 4696807 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
RocksDB Test: Read Random Write Random OpenBenchmarking.org Op/s, More Is Better RocksDB 7.9.2 Test: Read Random Write Random a b c 600K 1200K 1800K 2400K 3000K 2763110 2755551 2776604 1. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread
Phoronix Test Suite v10.8.4