rpyc jan

AMD EPYC 7F32 8-Core testing with a ASRockRack EPYCD8 (P2.40 BIOS) and ASPEED on Debian 12 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2401146-NE-RPYCJAN6573
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

BLAS (Basic Linear Algebra Sub-Routine) Tests 2 Tests
CPU Massive 4 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 5 Tests
Python Tests 4 Tests
Server 2 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
a
January 14
  2 Days, 18 Hours, 59 Minutes
b
January 14
  2 Days, 19 Hours
Invert Hiding All Results Option
  2 Days, 19 Hours
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):

a

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034
Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Debian-1deb12u1)
Python Notes: Python 3.11.2
Security Notes: gather_data_sampling: Not affected + 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_rstack_overflow: Mitigation of safe RET + 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

Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 7 x 4 GB DDR4-2666MT/s Micron 9ASF51272PZ-2G6B1, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: ASPEED, Network: 2 x Intel I350

OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768

rpyc janOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)ASRockRack EPYCD8 (P2.40 BIOS)AMD Starship/Matisse7 x 4 GB DDR4-2666MT/s Micron 9ASF51272PZ-2G6B1Samsung SSD 970 EVO Plus 250GBASPEED2 x Intel I350Debian 126.1.0-11-amd64 (x86_64)X ServerGCC 12.2.0ext41024x768ProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDisplay ServerCompilerFile-SystemScreen ResolutionRpyc Jan BenchmarksSystem Logs- Transparent Huge Pages: always- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034 - OpenJDK Runtime Environment (build 17.0.9+9-Debian-1deb12u1)- Python 3.11.2- gather_data_sampling: Not affected + 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_rstack_overflow: Mitigation of safe RET + 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 vs. b ComparisonPhoronix Test SuiteBaseline+6.5%+6.5%+13%+13%+19.5%+19.5%25.9%22.9%20.6%17.5%12.7%12.2%11.9%11.9%11.4%11.3%11%10.7%10.5%10.3%10.3%9.2%9.1%7.4%7%7%6.9%6.7%6.7%6.4%6.3%6.3%6.2%6.2%6.2%6.2%6.1%5.8%5.6%5.5%5.4%5.3%5%4.9%4.9%4.8%4.7%4.6%4.5%4.5%4.4%4.4%4.4%4.3%4%4%3.9%3.8%3.6%3.4%3.4%3.2%3.2%3.2%3.1%3.1%3%2.9%2.9%2.9%2.6%2.4%2.4%2.4%2.4%2.4%2.4%2.3%2.3%2.3%2.1%2.1%2.1%2.1%2%2%2%2%2%10 - Q90llama-2-13b.Q4_0.ggufCPU - 1 - AlexNet22.8%CPU - 1 - VGG-1621.6%10 - Q331 - Q3920.2%10 - Q4617.8%1 - Q1617.8%10 - Q481 - Q3315.6%CPU - 16 - AlexNet15.4%CPU - 16 - ResNet-5014.7%10 - Q381 - Q7912.4%10 - Q651 - Q73llama-2-7b.Q4_0.gguf1 - Q4011.8%1 - Q6511.5%10 - Q9710 - Q2610 - Q9910 - Q2710.9%CPU - 16 - VGG-1610.9%1 - Q751 - Q2410.6%1 - Q82CPU - 16 - ResNet-15210 - Q3110 - Q039.9%10 - Q739.7%10 - Q369.5%1 - Q459.4%1 - Q5610 - Q761 - Q889.1%1 - Q189%10 - Q028.9%10 - Q928.9%10 - Q428.1%1 - Q538%10 - Q557.7%1 - Q427.6%10 - Q79Read While Writing7.3%CPU - 16 - GoogLeNet7.2%1 - Q557.2%1 - Q2810 - Q14CPU - 16 - Efficientnet_v2_l10 - Q636.8%10 - Q776.8%10 - Q066.8%1 - Q0910 - Q6010 - Q686.5%10 - Q096.4%10 - Q1310 - Q326.3%1 - Q6310 - Q961 - Q6010 - Q341 - Q78CPU - 1 - ResNet-15210 - Q571 - Q996%10 - Q8810 - Q155.6%10 - Q401 - Q081 - Q801 - Q045.4%1 - Q981 - Q315.1%CPU - 1 - ResNet-5010 - Q441 - Q524.9%10 - Q851 - Q514.8%CPU - 1 - GoogLeNet4.8%Preset 12 - Bosphorus 1080pPreset 13 - Bosphorus 1080p1 - Q251 - Q694.6%10 - Q214.6%10 - Q0110 - Q981 - Q874.4%10 - Q8910 - Q8710 - Q281 - Q761 - Q064.3%1 - Q264.3%1 - Q214.3%10 - Q694.2%1 - Q134.1%10 - Q564%10 - Q674%10 - Q9310 - Q1110 - Q101 - Q593.9%10 - Q663.8%10 - Q533.8%10 - Q9510 - Q373.6%1 - Q943.6%10 - Q073.6%10 - Q511 - Q743.4%R.R.W.R3.4%CPU - 1 - Efficientnet_v2_l10 - Q8610 - Q823.3%Seq Fill3.2%10 - Q4710 - Q411 - Q44Preset 13 - Bosphorus 4K10 - Q491 - Q863%1 - Q66CPU - 16 - ResNet-502.9%1 - Q171 - Q362.9%10 - Q542.9%10 - Q711 - Q851 - Q582.9%1 - Q962.8%1 - Q502.8%1 - Q482.8%10 - Q182.8%1 - Q682.7%1 - Q542.7%1 - Q642.6%Rand Fill10 - Q392.5%1 - Q052.5%10 - Q621 - Q072.4%Eigen10 - Q351 - Q9010 - Q2310 - Q4510 - Q522.4%1 - Q201 - Q972.3%BLAS10 - Q8310 - Q752.3%1 - Q462.2%10 - Q222.2%10 - Q1910 - Q591 - Q38Preset 12 - Bosphorus 4K1 - Q272%N.T.C.B.b.u.S.S.I - A.M.S1 - Q29N.T.C.B.b.u.S.S.I - A.M.S1 - Q351 - Q47Apache Spark TPC-DSLlama.cppTensorFlowTensorFlowApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSTensorFlowTensorFlowApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSLlama.cppApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSTensorFlowApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSPyTorchApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSSpeedbTensorFlowApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSPyTorchApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSPyTorchApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSPyTorchApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSTensorFlowSVT-AV1SVT-AV1Apache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSSpeedbPyTorchApache Spark TPC-DSApache Spark TPC-DSSpeedbApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSSVT-AV1Apache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSPyTorchApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSSpeedbApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSLeelaChessZeroApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSLeelaChessZeroApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSApache Spark TPC-DSSVT-AV1Apache Spark TPC-DSNeural Magic DeepSparseApache Spark TPC-DSNeural Magic DeepSparseApache Spark TPC-DSApache Spark TPC-DSab

rpyc janspark-tpcds: 10 - Q90llama-cpp: llama-2-13b.Q4_0.gguftensorflow: CPU - 1 - AlexNettensorflow: CPU - 1 - VGG-16spark-tpcds: 10 - Q33spark-tpcds: 1 - Q39spark-tpcds: 10 - Q46spark-tpcds: 1 - Q16spark-tpcds: 10 - Q48spark-tpcds: 1 - Q33tensorflow: CPU - 16 - AlexNettensorflow: CPU - 16 - ResNet-50spark-tpcds: 10 - Q38spark-tpcds: 1 - Q79spark-tpcds: 10 - Q65spark-tpcds: 1 - Q73llama-cpp: llama-2-7b.Q4_0.ggufspark-tpcds: 1 - Q40spark-tpcds: 1 - Q65spark-tpcds: 10 - Q97spark-tpcds: 10 - Q26spark-tpcds: 10 - Q99spark-tpcds: 10 - Q27tensorflow: CPU - 16 - VGG-16spark-tpcds: 1 - Q75spark-tpcds: 1 - Q24spark-tpcds: 1 - Q82pytorch: CPU - 16 - ResNet-152spark-tpcds: 10 - Q31spark-tpcds: 10 - Q03spark-tpcds: 10 - Q73spark-tpcds: 10 - Q36spark-tpcds: 1 - Q45spark-tpcds: 1 - Q56spark-tpcds: 10 - Q76spark-tpcds: 1 - Q88spark-tpcds: 1 - Q18spark-tpcds: 10 - Q02spark-tpcds: 10 - Q92spark-tpcds: 10 - Q42spark-tpcds: 1 - Q53spark-tpcds: 10 - Q55spark-tpcds: 1 - Q42spark-tpcds: 10 - Q79speedb: Read While Writingtensorflow: CPU - 16 - GoogLeNetspark-tpcds: 1 - Q55spark-tpcds: 1 - Q28spark-tpcds: 10 - Q14pytorch: CPU - 16 - Efficientnet_v2_lspark-tpcds: 10 - Q63spark-tpcds: 10 - Q77spark-tpcds: 10 - Q06spark-tpcds: 1 - Q09spark-tpcds: 10 - Q60spark-tpcds: 10 - Q68spark-tpcds: 10 - Q09spark-tpcds: 10 - Q13spark-tpcds: 10 - Q32spark-tpcds: 1 - Q63spark-tpcds: 10 - Q96spark-tpcds: 1 - Q60spark-tpcds: 10 - Q34spark-tpcds: 1 - Q78pytorch: CPU - 1 - ResNet-152spark-tpcds: 10 - Q57spark-tpcds: 1 - Q99spark-tpcds: 10 - Q88spark-tpcds: 10 - Q15spark-tpcds: 10 - Q40spark-tpcds: 1 - Q08spark-tpcds: 1 - Q80spark-tpcds: 1 - Q04spark-tpcds: 1 - Q98spark-tpcds: 1 - Q31pytorch: CPU - 1 - ResNet-50spark-tpcds: 10 - Q44spark-tpcds: 1 - Q52spark-tpcds: 10 - Q85spark-tpcds: 1 - Q51tensorflow: CPU - 1 - GoogLeNetsvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pspark-tpcds: 1 - Q25spark-tpcds: 1 - Q69spark-tpcds: 10 - Q21spark-tpcds: 10 - Q01spark-tpcds: 10 - Q98spark-tpcds: 1 - Q87spark-tpcds: 10 - Q89spark-tpcds: 10 - Q87spark-tpcds: 10 - Q28spark-tpcds: 1 - Q76spark-tpcds: 1 - Q06spark-tpcds: 1 - Q26spark-tpcds: 1 - Q21spark-tpcds: 10 - Q69spark-tpcds: 1 - Q13spark-tpcds: 10 - Q56spark-tpcds: 10 - Q67spark-tpcds: 10 - Q93spark-tpcds: 10 - Q11spark-tpcds: 10 - Q10spark-tpcds: 1 - Q59spark-tpcds: 10 - Q66spark-tpcds: 10 - Q53spark-tpcds: 10 - Q95spark-tpcds: 10 - Q37spark-tpcds: 1 - Q94spark-tpcds: 10 - Q07spark-tpcds: 10 - Q51spark-tpcds: 1 - Q74speedb: Read Rand Write Randpytorch: CPU - 1 - Efficientnet_v2_lspark-tpcds: 10 - Q86spark-tpcds: 10 - Q82speedb: Seq Fillspark-tpcds: 10 - Q47spark-tpcds: 10 - Q41spark-tpcds: 1 - Q44svt-av1: Preset 13 - Bosphorus 4Kspark-tpcds: 10 - Q49spark-tpcds: 1 - Q86spark-tpcds: 1 - Q66pytorch: CPU - 16 - ResNet-50spark-tpcds: 1 - Q17spark-tpcds: 1 - Q36spark-tpcds: 10 - Q54spark-tpcds: 10 - Q71spark-tpcds: 1 - Q85spark-tpcds: 1 - Q58spark-tpcds: 1 - Q96spark-tpcds: 1 - Q50spark-tpcds: 1 - Q48spark-tpcds: 10 - Q18spark-tpcds: 1 - Q68spark-tpcds: 1 - Q54spark-tpcds: 1 - Q64speedb: Rand Fillspark-tpcds: 10 - Q39spark-tpcds: 1 - Q05spark-tpcds: 10 - Q62spark-tpcds: 1 - Q07lczero: Eigenspark-tpcds: 10 - Q35spark-tpcds: 1 - Q90spark-tpcds: 10 - Q23spark-tpcds: 10 - Q45spark-tpcds: 10 - Q52spark-tpcds: 1 - Q20spark-tpcds: 1 - Q97lczero: BLASspark-tpcds: 10 - Q83spark-tpcds: 10 - Q75spark-tpcds: 1 - Q46spark-tpcds: 10 - Q22spark-tpcds: 10 - Q19spark-tpcds: 10 - Q59spark-tpcds: 1 - Q38svt-av1: Preset 12 - Bosphorus 4Kspark-tpcds: 1 - Q27deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamspark-tpcds: 1 - Q29deepsparse: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Asynchronous Multi-Streamspark-tpcds: 1 - Q35spark-tpcds: 1 - Q47spark-tpcds: 1 - Q95svt-av1: Preset 4 - Bosphorus 1080pspark-tpcds: 1 - Q34spark-tpcds: 1 - Q11speedb: Rand Fill Syncspark-tpcds: 10 - Q25spark-tpcds: 1 - Q61spark-tpcds: 1 - Q83deepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamspark-tpcds: 1 - Q02spark-tpcds: 1 - Q89spark-tpcds: 1 - Q01deepsparse: ResNet-50, Baseline - Asynchronous Multi-Streamspark-tpcds: 10 - Q61spark-tpcds: 1 - Q49spark-tpcds: 1 - Q15spark-tpcds: 1 - Q81spark-tpcds: 1 - Q72spark-tpcds: 10 - Q64spark-tpcds: 10 - Q70spark-tpcds: 1 - Q43spark-tpcds: 1 - Q91tensorflow: CPU - 1 - ResNet-50spark-tpcds: 10 - Q84spark-tpcds: 10 - Q24spark-tpcds: 10 - Q29spark-tpcds: 1 - Q37y-cruncher: 500Mspark-tpcds: 1 - Q41spark-tpcds: 1 - Q67deepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Streamy-cruncher: 1Bspark-tpcds: 1 - Q22deepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: ResNet-50, Sparse INT8 - Asynchronous Multi-Streamspark-tpcds: 1 - Q70svt-av1: Preset 8 - Bosphorus 4Kdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamspark-tpcds: 1 - Q32quicksilver: CORAL2 P1spark-tpcds: 1 - Q23spark-tpcds: 10 - Q74svt-av1: Preset 4 - Bosphorus 4Kspark-tpcds: 1 - Q10spark-tpcds: 1 - Q57deepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamspark-tpcds: 1 - Q77deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamspark-tpcds: 1 - Q93spark-tpcds: 1 - Q92deepsparse: CV Detection, YOLOv5s COCO - Asynchronous Multi-Streamspark-tpcds: 10 - Q58spark-tpcds: 1 - Q19spark-tpcds: 10 - Q43spark-tpcds: 1 - Q12spark-tpcds: 1 - Q14svt-av1: Preset 8 - Bosphorus 1080pspark-tpcds: 10 - Q05deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamspark-tpcds: 10 - Q08spark-tpcds: 10 - Q81deepsparse: CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Streamdeepsparse: NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Streamdeepsparse: BERT-Large, NLP Question Answering - Asynchronous Multi-Streamspark-tpcds: 10 - Q04spark-tpcds: 1 - Q84deepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamdeepsparse: NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Streamspark-tpcds: 10 - Q72deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamspark-tpcds: 1 - Q62spark-tpcds: 1 - Q71speedb: Update Randspark-tpcds: 10 - Q94quicksilver: CORAL2 P2spark-tpcds: 10 - Q91deepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamdeepsparse: NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Streamdeepsparse: CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Streamcachebench: Writespark-tpcds: 10 - Q30deepsparse: CV Segmentation, 90% Pruned YOLACT Pruned - Asynchronous Multi-Streamspark-tpcds: 10 - Q17spark-tpcds: 10 - Q50quicksilver: CTS2spark-tpcds: 10 - Q78cachebench: Read / Modify / Writecachebench: Readspeedb: Rand Readspark-tpcds: 10 - Q80spark-tpcds: 10 - Q20spark-tpcds: 10 - Q12spark-tpcds: 1 - Q30spark-tpcds: 1 - Q03ab4.035.168.882.597.131.195.342.594.914.7459.3511.528.953.9584.3111.323.984.628.045.634.435.854.697.880.945.057.4410.193.935.494.933.835.096.16.615.665.034.163.853.53.783.015.38225789035.562.916.768.924.194.857.087.984.297.475.894.975.854.283.713.235.286.497.6910.837.713.668.635.28.344.397.427.472.26.6326.582.783.288.186.639.89255.926316.4936.094.785.255.62.344.994.998.378.384.574.164.183.756.634.665.9912.5211.7614.917.224.415.994.214.685.82.785.5911.325.810117505.9146.452758498.673.234.278.8778.43.75.8920.056.364.137.255.735.734.892.814.254.296.464.45.157.632333243.185.74.24.52837.683.8715.495.64.222.25.181305.3913.694.1211.935.855.864.9478.314.4232.05616.1124.6685.136.263.69.9564.296.58308214.152.773.9452.73284.524.054.175.75542.965.364.283.728.4821.115.293.343.526.385.166.3414.252.522.3032.715.7971.214556.132447.6484.279.9773399.71624.623.5429.1492505.15833.8273640004.119.422.9494.965.04512.18585.13100.78053.753.939.63746.224.194.262.164.463.9919.4776.45685.65.6352.2457.7676434.376919.183.3267.634559.069739.02480.22543.854.192159404.4976790004.9499.52857.86640.148955386.264125.88.30414.29.77598600019.5557602.7196749891.0859163424814617.992.262.363.813.173.26.347.232.135.911.436.293.054.185.4851.4410.047.944.447.133.8512.674.455.157.225.063.996.494.237.121.044.578.219.244.326.025.44.194.665.597.216.175.484.534.163.784.073.245.01210438033.163.126.328.344.485.187.568.524.0276.275.295.54.553.493.044.976.117.2411.507.273.888.165.497.94.167.047.872.096.9727.922.653.447.86.959.44268.084331.4955.8255.495.362.245.214.788.028.034.384.344.363.916.914.856.2313.0211.3114.346.954.586.224.374.516.012.885.7910.9369785726.113.876.662672238.43.134.0781.3138.153.815.7219.486.184.257.465.575.575.032.894.374.416.644.525.297.832393603.265.844.14.63857.53.7815.135.474.322.155.31335.27144.2112.195.735.744.8479.9274.5131.42545.98127.1685.036.143.679.7684.216.46302614.412.824.0153.66924.63.984.0374.48813.015.454.353.788.3520.795.213.393.576.475.096.2614.432.5322.0482.745.7370.512156.674347.24.2310.0658396.21724.5623.3459.2258509.33723.8573080004.149.482.9314.995.07515.22015.1101.33813.733.9239.44076.254.214.282.174.3863.7049.4376.76585.625.6552.07537.7424433.020719.243.3367.836758.89739.13478.92493.864.182164334.4876620004.9399.72637.850740.073755484.0503435.818.317214.189.78598200019.5457618.9027979892.7385443424400417.992.262.363.813.17OpenBenchmarking.org

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q90ab0.90681.81362.72043.62724.5344.033.201. (CC) gcc options: -O3 -fcommon -lm

Llama.cpp

Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-13b.Q4_0.ggufab2468105.166.341. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: AlexNetab2468108.887.23

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: VGG-16ab0.58281.16561.74842.33122.9142.592.13

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q33ab2468107.135.911. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q39ab0.32180.64360.96541.28721.6091.191.431. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q46ab2468105.346.291. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q16ab0.68631.37262.05892.74523.43152.593.051. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q48ab1.10482.20963.31444.41925.5244.914.181. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q33ab1.2332.4663.6994.9326.1654.745.481. (CC) gcc options: -O3 -fcommon -lm

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: AlexNetab132639526559.3551.44

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: ResNet-50ab369121511.5210.04

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q38ab36912158.957.941. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q79ab0.9991.9982.9973.9964.9953.954.441. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q65ab2468108.007.131. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q73ab0.96981.93962.90943.87924.8494.313.851. (CC) gcc options: -O3 -fcommon -lm

Llama.cpp

Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTokens Per Second, More Is BetterLlama.cpp b1808Model: llama-2-7b.Q4_0.ggufab369121511.3212.671. (CXX) g++ options: -std=c++11 -fPIC -O3 -pthread -march=native -mtune=native -lopenblas

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q40ab1.00132.00263.00394.00525.00653.984.451. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q65ab1.15882.31763.47644.63525.7944.625.151. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q97ab2468108.047.221. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q26ab1.26682.53363.80045.06726.3345.635.061. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q99ab0.99681.99362.99043.98724.9844.433.991. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q27ab2468105.856.491. (CC) gcc options: -O3 -fcommon -lm

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: VGG-16ab1.05532.11063.16594.22125.27654.694.23

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q75ab2468107.887.121. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q24ab0.2340.4680.7020.9361.170.941.041. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q82ab1.13632.27263.40894.54525.68155.054.571. (CC) gcc options: -O3 -fcommon -lm

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152ab2468107.448.21MIN: 5.31 / MAX: 7.97MIN: 6.77 / MAX: 8.36

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q31ab369121510.199.241. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q03ab0.9721.9442.9163.8884.863.934.321. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q73ab2468105.496.021. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q36ab1.2152.433.6454.866.0754.935.401. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q45ab0.94281.88562.82843.77124.7143.834.191. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q56ab1.14532.29063.43594.58125.72655.094.661. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q76ab2468106.105.591. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q88ab2468106.617.211. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q18ab2468105.666.171. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q02ab1.2332.4663.6994.9326.1655.035.481. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q92ab1.01932.03863.05794.07725.09654.164.531. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q42ab0.9361.8722.8083.7444.683.854.161. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q53ab0.85051.7012.55153.4024.25253.503.781. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q55ab0.91581.83162.74743.66324.5793.784.071. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q42ab0.7291.4582.1872.9163.6453.013.241. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q79ab1.21052.4213.63154.8426.05255.385.011. (CC) gcc options: -O3 -fcommon -lm

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read While Writingab500K1000K1500K2000K2500K225789021043801. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 16 - Model: GoogLeNetab81624324035.5633.16

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q55ab0.7021.4042.1062.8083.512.913.121. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q28ab2468106.766.321. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q14ab2468108.928.341. (CC) gcc options: -O3 -fcommon -lm

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_lab1.0082.0163.0244.0325.044.194.48MIN: 3.69 / MAX: 4.34MIN: 3.47 / MAX: 4.56

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q63ab1.16552.3313.49654.6625.82754.855.181. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q77ab2468107.087.561. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q06ab2468107.988.521. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q09ab0.96531.93062.89593.86124.82654.294.021. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q60ab2468107.477.001. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q68ab2468105.896.271. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q09ab1.19032.38063.57094.76125.95154.975.291. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q13ab1.31632.63263.94895.26526.58155.855.501. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q32ab1.02382.04763.07144.09525.1194.284.551. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q63ab0.83481.66962.50443.33924.1743.713.491. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q96ab0.72681.45362.18042.90723.6343.233.041. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q60ab1.1882.3763.5644.7525.945.284.971. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q34ab2468106.496.111. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q78ab2468107.697.241. (CC) gcc options: -O3 -fcommon -lm

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152ab369121510.8311.50MIN: 9.48 / MAX: 11.19MIN: 9.88 / MAX: 11.86

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q57ab2468107.717.271. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q99ab0.8731.7462.6193.4924.3653.663.881. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q88ab2468108.638.161. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q15ab1.23532.47063.70594.94126.17655.205.491. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q40ab2468108.347.901. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q08ab0.98781.97562.96343.95124.9394.394.161. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q80ab2468107.427.041. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q04ab2468107.477.871. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q98ab0.4950.991.4851.982.4752.202.091. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q31ab2468106.636.971. (CC) gcc options: -O3 -fcommon -lm

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50ab71421283526.5827.92MIN: 25.18 / MAX: 27.28MIN: 22.12 / MAX: 29.19

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q44ab0.62551.2511.87652.5023.12752.782.651. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q52ab0.7741.5482.3223.0963.873.283.441. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q85ab2468108.187.801. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q51ab2468106.636.951. (CC) gcc options: -O3 -fcommon -lm

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: GoogLeNetab36912159.899.44

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 1080pab60120180240300255.93268.081. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 1080pab70140210280350316.49331.501. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q25ab2468106.095.821. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q69ab1.1252.253.3754.55.6254.785.001. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q21ab1.23532.47063.70594.94126.17655.255.491. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q01ab1.262.523.785.046.35.605.361. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q98ab0.52651.0531.57952.1062.63252.342.241. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q87ab1.17232.34463.51694.68925.86154.995.211. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q89ab1.12282.24563.36844.49125.6144.994.781. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q87ab2468108.378.021. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q28ab2468108.388.031. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q76ab1.02832.05663.08494.11325.14154.574.381. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q06ab0.97651.9532.92953.9064.88254.164.341. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q26ab0.9811.9622.9433.9244.9054.184.361. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q21ab0.87981.75962.63943.51924.3993.753.911. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q69ab2468106.636.911. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q13ab1.09132.18263.27394.36525.45654.664.851. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q56ab2468105.996.231. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q67ab369121512.5213.021. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q93ab369121511.7611.311. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q11ab4812162014.9114.341. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q10ab2468107.226.951. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q59ab1.03052.0613.09154.1225.15254.414.581. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q66ab2468105.996.221. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q53ab0.98331.96662.94993.93324.91654.214.371. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q95ab1.0532.1063.1594.2125.2654.684.511. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q37ab2468105.806.011. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q94ab0.6481.2961.9442.5923.242.782.881. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q07ab1.30282.60563.90845.21126.5145.595.791. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q51ab369121511.3210.931. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q74ab2468105.86.01. (CC) gcc options: -O3 -fcommon -lm

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Read Random Write Randomab200K400K600K800K1000K10117509785721. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_lab2468105.916.11MIN: 5.31 / MAX: 6MIN: 5.41 / MAX: 6.29

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q86ab0.91.82.73.64.54.003.871. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q82ab2468106.456.661. (CC) gcc options: -O3 -fcommon -lm

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Sequential Fillab60K120K180K240K300K2758492672231. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q47ab2468108.678.401. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q41ab0.72681.45362.18042.90723.6343.233.131. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q44ab0.9451.892.8353.784.7254.204.071. (CC) gcc options: -O3 -fcommon -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 13 - Input: Bosphorus 4Kab2040608010078.8881.311. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q49ab2468108.408.151. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q86ab0.85731.71462.57193.42924.28653.703.811. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q66ab1.32532.65063.97595.30126.62655.895.721. (CC) gcc options: -O3 -fcommon -lm

PyTorch

This is a benchmark of PyTorch making use of pytorch-benchmark [https://github.com/LukasHedegaard/pytorch-benchmark]. Currently this test profile is catered to CPU-based testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50ab51015202520.0519.48MIN: 15.96 / MAX: 20.76MIN: 18.54 / MAX: 19.9

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q17ab2468106.366.181. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q36ab0.95631.91262.86893.82524.78154.134.251. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q54ab2468107.257.461. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q71ab1.28932.57863.86795.15726.44655.735.571. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q85ab1.28932.57863.86795.15726.44655.735.571. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q58ab1.13182.26363.39544.52725.6594.895.031. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q96ab0.65031.30061.95092.60123.25152.812.891. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q50ab0.98331.96662.94993.93324.91654.254.371. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q48ab0.99231.98462.97693.96924.96154.294.411. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q18ab2468106.466.641. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q68ab1.0172.0343.0514.0685.0854.404.521. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q54ab1.19032.38063.57094.76125.95155.155.291. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q64ab2468107.637.831. (CC) gcc options: -O3 -fcommon -lm

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Fillab50K100K150K200K250K2333242393601. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q39ab0.73351.4672.20052.9343.66753.183.261. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q05ab1.3142.6283.9425.2566.575.705.841. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q62ab0.9451.892.8353.784.7254.24.11. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q07ab1.04182.08363.12544.16725.2094.524.631. (CC) gcc options: -O3 -fcommon -lm

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.30Backend: Eigenab2040608010083851. (CXX) g++ options: -flto -pthread

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q35ab2468107.687.501. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q90ab0.87081.74162.61243.48324.3543.873.781. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q23ab4812162015.4915.131. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q45ab1.262.523.785.046.35.605.471. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q52ab0.9721.9442.9163.8884.864.224.321. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q20ab0.4950.991.4851.982.4752.202.151. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q97ab1.19252.3853.57754.775.96255.185.301. (CC) gcc options: -O3 -fcommon -lm

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.30Backend: BLASab3060901201501301331. (CXX) g++ options: -flto -pthread

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q83ab1.21282.42563.63844.85126.0645.395.271. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q75ab4812162013.6914.001. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q46ab0.94731.89462.84193.78924.73654.124.211. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q22ab369121511.9312.191. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q19ab1.31632.63263.94895.26526.58155.855.731. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q59ab1.31852.6373.95555.2746.59255.865.741. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q38ab1.11152.2233.33454.4465.55754.944.841. (CC) gcc options: -O3 -fcommon -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 12 - Input: Bosphorus 4Kab2040608010078.3179.931. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q27ab1.01482.02963.04444.05925.0744.424.511. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamab71421283532.0631.43

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q29ab2468106.105.981. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, BERT base uncased SST2, Sparse INT8 - Scenario: Asynchronous Multi-Streamab306090120150124.67127.17

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q35ab1.15432.30863.46294.61725.77155.135.031. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q47ab2468106.266.141. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q95ab0.82581.65162.47743.30324.1293.603.671. (CC) gcc options: -O3 -fcommon -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 1080pab36912159.9569.7681. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q34ab0.96531.93062.89593.86124.82654.294.211. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q11ab2468106.586.461. (CC) gcc options: -O3 -fcommon -lm

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Fill Syncab7001400210028003500308230261. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q25ab4812162014.1514.411. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q61ab0.63451.2691.90352.5383.17252.772.821. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q83ab0.90231.80462.70693.60924.51153.944.011. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamab122436486052.7353.67

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q02ab1.0352.073.1054.145.1754.524.601. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q89ab0.91131.82262.73393.64524.55654.053.981. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q01ab0.92251.8452.76753.694.61254.104.031. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Baseline - Scenario: Asynchronous Multi-Streamab2040608010075.7674.49

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q61ab0.67731.35462.03192.70923.38652.963.011. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q49ab1.22632.45263.67894.90526.13155.365.451. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q15ab0.97881.95762.93643.91524.8944.284.351. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q81ab0.85051.7012.55153.4024.25253.723.781. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q72ab2468108.488.351. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q64ab51015202521.1120.791. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q70ab1.19032.38063.57094.76125.95155.295.211. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q43ab0.76281.52562.28843.05123.8143.343.391. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q91ab0.80331.60662.40993.21324.01653.523.571. (CC) gcc options: -O3 -fcommon -lm

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries if desired for complementary metrics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.12Device: CPU - Batch Size: 1 - Model: ResNet-50ab2468106.386.47

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q84ab1.1612.3223.4834.6445.8055.165.091. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q24ab2468106.346.261. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q29ab4812162014.2514.431. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q37ab0.56931.13861.70792.27722.84652.502.531. (CC) gcc options: -O3 -fcommon -lm

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 500Mab51015202522.3022.05

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q41ab0.61651.2331.84952.4663.08252.712.741. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q67ab1.30282.60563.90845.21126.5145.795.731. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab163248648071.2170.51

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering, Sparse INT8 - Scenario: Asynchronous Multi-Streamab132639526556.1356.67

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.8.3Pi Digits To Calculate: 1Bab112233445547.6547.20

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q22ab0.96081.92162.88243.84324.8044.274.231. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamab36912159.977310.0658

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: ResNet-50, Sparse INT8 - Scenario: Asynchronous Multi-Streamab90180270360450399.72396.22

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q70ab1.0352.073.1054.145.1754.604.561. (CC) gcc options: -O3 -fcommon -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 4Kab61218243023.5423.351. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamab36912159.14929.2258

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab110220330440550505.16509.34

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q32ab0.86631.73262.59893.46524.33153.823.851. (CC) gcc options: -O3 -fcommon -lm

Quicksilver

Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P1ab1.6M3.2M4.8M6.4M8M736400073080001. (CXX) g++ options: -fopenmp -O3 -march=native

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q23ab0.93151.8632.79453.7264.65754.114.141. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q74ab36912159.429.481. (CC) gcc options: -O3 -fcommon -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 4 - Input: Bosphorus 4Kab0.66351.3271.99052.6543.31752.9492.9311. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q10ab1.12282.24563.36844.49125.6144.964.991. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q57ab1.14082.28163.42244.56325.7045.045.071. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab110220330440550512.19515.22

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q77ab1.15432.30863.46294.61725.77155.135.101. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab20406080100100.78101.34

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q93ab0.84381.68762.53143.37524.2193.753.731. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q92ab0.8821.7642.6463.5284.413.903.921. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO - Scenario: Asynchronous Multi-Streamab91827364539.6439.44

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q58ab2468106.226.251. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q19ab0.94731.89462.84193.78924.73654.194.211. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q43ab0.9631.9262.8893.8524.8154.264.281. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q12ab0.48830.97661.46491.95322.44152.162.171. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q14ab0.991.982.973.964.954.404.381. (CC) gcc options: -O3 -fcommon -lm

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.8Encoder Mode: Preset 8 - Input: Bosphorus 1080pab142842567063.9963.701. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q05ab36912159.479.431. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab2040608010076.4676.77

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q08ab1.26452.5293.79355.0586.32255.605.621. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q81ab1.27132.54263.81395.08526.35655.635.651. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Classification, ResNet-50 ImageNet - Scenario: Asynchronous Multi-Streamab122436486052.2552.08

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Document Classification, oBERT base uncased on IMDB - Scenario: Asynchronous Multi-Streamab2468107.76767.7424

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: BERT-Large, NLP Question Answering - Scenario: Asynchronous Multi-Streamab90180270360450434.38433.02

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q04ab51015202519.1819.241. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q84ab0.74931.49862.24792.99723.74653.323.331. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab153045607567.6367.84

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Text Classification, DistilBERT mnli - Scenario: Asynchronous Multi-Streamab132639526559.0758.90

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q72ab91827364539.0239.131. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab100200300400500480.23478.92

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q62ab0.86851.7372.60553.4744.34253.853.861. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q71ab0.94281.88562.82843.77124.7144.194.181. (CC) gcc options: -O3 -fcommon -lm

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Update Randomab50K100K150K200K250K2159402164331. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q94ab1.01032.02063.03094.04125.05154.494.481. (CC) gcc options: -O3 -fcommon -lm

Quicksilver

Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CORAL2 P2ab1.6M3.2M4.8M6.4M8M767900076620001. (CXX) g++ options: -fopenmp -O3 -march=native

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q91ab1.11152.2233.33454.4465.55754.944.931. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms/batch, Fewer Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamab2040608010099.5399.73

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: NLP Token Classification, BERT base uncased conll2003 - Scenario: Asynchronous Multi-Streamab2468107.86607.8507

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Detection, YOLOv5s COCO, Sparse INT8 - Scenario: Asynchronous Multi-Streamab91827364540.1540.07

CacheBench

This is a performance test of CacheBench, which is part of LLCbench. CacheBench is designed to test the memory and cache bandwidth performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Writeab12K24K36K48K60K55386.2655484.05MIN: 42949.81 / MAX: 59033.61MIN: 43456.57 / MAX: 59035.761. (CC) gcc options: -O3 -lrt

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q30ab1.30732.61463.92195.22926.53655.805.811. (CC) gcc options: -O3 -fcommon -lm

Neural Magic DeepSparse

This is a benchmark of Neural Magic's DeepSparse using its built-in deepsparse.benchmark utility and various models from their SparseZoo (https://sparsezoo.neuralmagic.com/). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgitems/sec, More Is BetterNeural Magic DeepSparse 1.6Model: CV Segmentation, 90% Pruned YOLACT Pruned - Scenario: Asynchronous Multi-Streamab2468108.30408.3172

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q17ab4812162014.2014.181. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q50ab36912159.779.781. (CC) gcc options: -O3 -fcommon -lm

Quicksilver

Quicksilver is a proxy application that represents some elements of the Mercury workload by solving a simplified dynamic Monte Carlo particle transport problem. Quicksilver is developed by Lawrence Livermore National Laboratory (LLNL) and this test profile currently makes use of the OpenMP CPU threaded code path. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterQuicksilver 20230818Input: CTS2ab1.3M2.6M3.9M5.2M6.5M598600059820001. (CXX) g++ options: -fopenmp -O3 -march=native

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q78ab51015202519.5519.541. (CC) gcc options: -O3 -fcommon -lm

CacheBench

This is a performance test of CacheBench, which is part of LLCbench. CacheBench is designed to test the memory and cache bandwidth performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Read / Modify / Writeab12K24K36K48K60K57602.7257618.90MIN: 54488.08 / MAX: 59203.02MIN: 54501.37 / MAX: 59219.511. (CC) gcc options: -O3 -lrt

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Readab2K4K6K8K10K9891.099892.74MIN: 9838 / MAX: 9897.29MIN: 9875.91 / MAX: 9897.991. (CC) gcc options: -O3 -lrt

Speedb

Speedb is a next-generation key value storage engine that is RocksDB compatible and aiming for stability, efficiency, and performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterSpeedb 2.7Test: Random Readab7M14M21M28M35M34248146342440041. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

Apache Spark TPC-DS

This is a benchmark of Apache Spark using the TPC-DS data-set. Apache Spark is an open-source unified analytics engine for large-scale data processing and dealing with big data. This test profile benchmarks the Apache Spark in a single-system configuration and leverages the https://github.com/databricks/tpcds-kit and https://github.com/IBM/spark-tpc-ds-performance-test/ projects for testing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q80ab4812162017.9917.991. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q20ab0.50851.0171.52552.0342.54252.262.261. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 10 - Q12ab0.5311.0621.5932.1242.6552.362.361. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q30ab0.85731.71462.57193.42924.28653.813.811. (CC) gcc options: -O3 -fcommon -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-DS 3.5Scale Factor: 1 - Q03ab0.71331.42662.13992.85323.56653.173.171. (CC) gcc options: -O3 -fcommon -lm

262 Results Shown

Apache Spark TPC-DS
Llama.cpp
TensorFlow:
  CPU - 1 - AlexNet
  CPU - 1 - VGG-16
Apache Spark TPC-DS:
  10 - Q33
  1 - Q39
  10 - Q46
  1 - Q16
  10 - Q48
  1 - Q33
TensorFlow:
  CPU - 16 - AlexNet
  CPU - 16 - ResNet-50
Apache Spark TPC-DS:
  10 - Q38
  1 - Q79
  10 - Q65
  1 - Q73
Llama.cpp
Apache Spark TPC-DS:
  1 - Q40
  1 - Q65
  10 - Q97
  10 - Q26
  10 - Q99
  10 - Q27
TensorFlow
Apache Spark TPC-DS:
  1 - Q75
  1 - Q24
  1 - Q82
PyTorch
Apache Spark TPC-DS:
  10 - Q31
  10 - Q03
  10 - Q73
  10 - Q36
  1 - Q45
  1 - Q56
  10 - Q76
  1 - Q88
  1 - Q18
  10 - Q02
  10 - Q92
  10 - Q42
  1 - Q53
  10 - Q55
  1 - Q42
  10 - Q79
Speedb
TensorFlow
Apache Spark TPC-DS:
  1 - Q55
  1 - Q28
  10 - Q14
PyTorch
Apache Spark TPC-DS:
  10 - Q63
  10 - Q77
  10 - Q06
  1 - Q09
  10 - Q60
  10 - Q68
  10 - Q09
  10 - Q13
  10 - Q32
  1 - Q63
  10 - Q96
  1 - Q60
  10 - Q34
  1 - Q78
PyTorch
Apache Spark TPC-DS:
  10 - Q57
  1 - Q99
  10 - Q88
  10 - Q15
  10 - Q40
  1 - Q08
  1 - Q80
  1 - Q04
  1 - Q98
  1 - Q31
PyTorch
Apache Spark TPC-DS:
  10 - Q44
  1 - Q52
  10 - Q85
  1 - Q51
TensorFlow
SVT-AV1:
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
Apache Spark TPC-DS:
  1 - Q25
  1 - Q69
  10 - Q21
  10 - Q01
  10 - Q98
  1 - Q87
  10 - Q89
  10 - Q87
  10 - Q28
  1 - Q76
  1 - Q06
  1 - Q26
  1 - Q21
  10 - Q69
  1 - Q13
  10 - Q56
  10 - Q67
  10 - Q93
  10 - Q11
  10 - Q10
  1 - Q59
  10 - Q66
  10 - Q53
  10 - Q95
  10 - Q37
  1 - Q94
  10 - Q07
  10 - Q51
  1 - Q74
Speedb
PyTorch
Apache Spark TPC-DS:
  10 - Q86
  10 - Q82
Speedb
Apache Spark TPC-DS:
  10 - Q47
  10 - Q41
  1 - Q44
SVT-AV1
Apache Spark TPC-DS:
  10 - Q49
  1 - Q86
  1 - Q66
PyTorch
Apache Spark TPC-DS:
  1 - Q17
  1 - Q36
  10 - Q54
  10 - Q71
  1 - Q85
  1 - Q58
  1 - Q96
  1 - Q50
  1 - Q48
  10 - Q18
  1 - Q68
  1 - Q54
  1 - Q64
Speedb
Apache Spark TPC-DS:
  10 - Q39
  1 - Q05
  10 - Q62
  1 - Q07
LeelaChessZero
Apache Spark TPC-DS:
  10 - Q35
  1 - Q90
  10 - Q23
  10 - Q45
  10 - Q52
  1 - Q20
  1 - Q97
LeelaChessZero
Apache Spark TPC-DS:
  10 - Q83
  10 - Q75
  1 - Q46
  10 - Q22
  10 - Q19
  10 - Q59
  1 - Q38
SVT-AV1
Apache Spark TPC-DS
Neural Magic DeepSparse
Apache Spark TPC-DS
Neural Magic DeepSparse
Apache Spark TPC-DS:
  1 - Q35
  1 - Q47
  1 - Q95
SVT-AV1
Apache Spark TPC-DS:
  1 - Q34
  1 - Q11
Speedb
Apache Spark TPC-DS:
  10 - Q25
  1 - Q61
  1 - Q83
Neural Magic DeepSparse
Apache Spark TPC-DS:
  1 - Q02
  1 - Q89
  1 - Q01
Neural Magic DeepSparse
Apache Spark TPC-DS:
  10 - Q61
  1 - Q49
  1 - Q15
  1 - Q81
  1 - Q72
  10 - Q64
  10 - Q70
  1 - Q43
  1 - Q91
TensorFlow
Apache Spark TPC-DS:
  10 - Q84
  10 - Q24
  10 - Q29
  1 - Q37
Y-Cruncher
Apache Spark TPC-DS:
  1 - Q41
  1 - Q67
Neural Magic DeepSparse:
  BERT-Large, NLP Question Answering, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Y-Cruncher
Apache Spark TPC-DS
Neural Magic DeepSparse:
  ResNet-50, Sparse INT8 - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Apache Spark TPC-DS
SVT-AV1
Neural Magic DeepSparse:
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
Apache Spark TPC-DS
Quicksilver
Apache Spark TPC-DS:
  1 - Q23
  10 - Q74
SVT-AV1
Apache Spark TPC-DS:
  1 - Q10
  1 - Q57
Neural Magic DeepSparse
Apache Spark TPC-DS
Neural Magic DeepSparse
Apache Spark TPC-DS:
  1 - Q93
  1 - Q92
Neural Magic DeepSparse
Apache Spark TPC-DS:
  10 - Q58
  1 - Q19
  10 - Q43
  1 - Q12
  1 - Q14
SVT-AV1
Apache Spark TPC-DS
Neural Magic DeepSparse
Apache Spark TPC-DS:
  10 - Q08
  10 - Q81
Neural Magic DeepSparse:
  CV Classification, ResNet-50 ImageNet - Asynchronous Multi-Stream
  NLP Document Classification, oBERT base uncased on IMDB - Asynchronous Multi-Stream
  BERT-Large, NLP Question Answering - Asynchronous Multi-Stream
Apache Spark TPC-DS:
  10 - Q04
  1 - Q84
Neural Magic DeepSparse:
  NLP Text Classification, DistilBERT mnli - Asynchronous Multi-Stream:
    ms/batch
    items/sec
Apache Spark TPC-DS
Neural Magic DeepSparse
Apache Spark TPC-DS:
  1 - Q62
  1 - Q71
Speedb
Apache Spark TPC-DS
Quicksilver
Apache Spark TPC-DS
Neural Magic DeepSparse:
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream
  NLP Token Classification, BERT base uncased conll2003 - Asynchronous Multi-Stream
  CV Detection, YOLOv5s COCO, Sparse INT8 - Asynchronous Multi-Stream
CacheBench
Apache Spark TPC-DS
Neural Magic DeepSparse
Apache Spark TPC-DS:
  10 - Q17
  10 - Q50
Quicksilver
Apache Spark TPC-DS
CacheBench:
  Read / Modify / Write
  Read
Speedb
Apache Spark TPC-DS:
  10 - Q80
  10 - Q20
  10 - Q12
  1 - Q30
  1 - Q03

a

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034
Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Debian-1deb12u1)
Python Notes: Python 3.11.2
Security Notes: gather_data_sampling: Not affected + 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_rstack_overflow: Mitigation of safe RET + 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 14 January 2024 19:17 by user phoronix.

b

Processor: AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads), Motherboard: ASRockRack EPYCD8 (P2.40 BIOS), Chipset: AMD Starship/Matisse, Memory: 7 x 4 GB DDR4-2666MT/s Micron 9ASF51272PZ-2G6B1, Disk: Samsung SSD 970 EVO Plus 250GB, Graphics: ASPEED, Network: 2 x Intel I350

OS: Debian 12, Kernel: 6.1.0-11-amd64 (x86_64), Display Server: X Server, Compiler: GCC 12.2.0, File-System: ext4, Screen Resolution: 1024x768

Kernel Notes: Transparent Huge Pages: always
Compiler Notes: --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-cet --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-defaulted --enable-offload-targets=nvptx-none=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-12-bTRWOB/gcc-12-12.2.0/debian/tmp-gcn/usr --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-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 Notes: Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034
Java Notes: OpenJDK Runtime Environment (build 17.0.9+9-Debian-1deb12u1)
Python Notes: Python 3.11.2
Security Notes: gather_data_sampling: Not affected + 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_rstack_overflow: Mitigation of safe RET + 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 14 January 2024 23:02 by user phoronix.