dec

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

HTML result view exported from: https://openbenchmarking.org/result/2312047-NE-DEC10324710&grr.

decProcessorMotherboardChipsetMemoryDiskGraphicsNetworkOSKernelDisplay ServerCompilerFile-SystemScreen ResolutionabnAMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads)ASRockRack EPYCD8 (P2.40 BIOS)AMD Starship/Matisse28GBSamsung SSD 970 EVO Plus 250GBASPEED2 x Intel I350Debian 126.1.0-11-amd64 (x86_64)X ServerGCC 12.2.0ext41024x768OpenBenchmarking.orgKernel Details- Transparent Huge Pages: alwaysCompiler Details- --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 Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8301034 Java Details- OpenJDK Runtime Environment (build 17.0.9+9-Debian-1deb12u1)Python Details- Python 3.11.2Security Details- 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

decwebp2: Quality 100, Lossless Compressionxmrig: GhostRider - 1Mpytorch: CPU - 16 - Efficientnet_v2_lpytorch: CPU - 32 - Efficientnet_v2_lwebp2: Quality 95, Compression Effort 7spark-tpch: 10 - Q22spark-tpch: 10 - Q21spark-tpch: 10 - Q20spark-tpch: 10 - Q19spark-tpch: 10 - Q18spark-tpch: 10 - Q17spark-tpch: 10 - Q16spark-tpch: 10 - Q15spark-tpch: 10 - Q14spark-tpch: 10 - Q13spark-tpch: 10 - Q12spark-tpch: 10 - Q11spark-tpch: 10 - Q10spark-tpch: 10 - Q09spark-tpch: 10 - Q08spark-tpch: 10 - Q07spark-tpch: 10 - Q06spark-tpch: 10 - Q05spark-tpch: 10 - Q04spark-tpch: 10 - Q03spark-tpch: 10 - Q02spark-tpch: 10 - Q01spark-tpch: 10 - Geometric Mean Of All Queriespytorch: CPU - 32 - ResNet-152pytorch: CPU - 16 - ResNet-152scylladb: Mixed 1:1webp2: Quality 75, Compression Effort 7scylladb: Mixed 1:3pytorch: CPU - 1 - Efficientnet_v2_lopenssl: AES-128-GCMopenssl: SHA256openssl: AES-256-GCMopenssl: SHA512scylladb: Writesxmrig: CryptoNight-Femto UPX2 - 1Mxmrig: CryptoNight-Heavy - 1Mxmrig: Monero - 1Mxmrig: KawPow - 1Mxmrig: Wownero - 1Mpytorch: CPU - 16 - ResNet-50pytorch: CPU - 1 - ResNet-152pytorch: CPU - 32 - ResNet-50openssl: RSA4096openssl: RSA4096spark-tpch: 1 - Q22spark-tpch: 1 - Q21spark-tpch: 1 - Q20spark-tpch: 1 - Q19spark-tpch: 1 - Q18spark-tpch: 1 - Q17spark-tpch: 1 - Q16spark-tpch: 1 - Q15spark-tpch: 1 - Q14spark-tpch: 1 - Q13spark-tpch: 1 - Q12spark-tpch: 1 - Q11spark-tpch: 1 - Q10spark-tpch: 1 - Q09spark-tpch: 1 - Q08spark-tpch: 1 - Q07spark-tpch: 1 - Q06spark-tpch: 1 - Q05spark-tpch: 1 - Q04spark-tpch: 1 - Q03spark-tpch: 1 - Q02spark-tpch: 1 - Q01spark-tpch: 1 - Geometric Mean Of All Queriespytorch: CPU - 1 - ResNet-50java-scimark2: Compositewebp2: Quality 100, Compression Effort 5webp2: Defaultjava-scimark2: Jacobi Successive Over-Relaxationjava-scimark2: Dense LU Matrix Factorizationjava-scimark2: Sparse Matrix Multiplyjava-scimark2: Fast Fourier Transformjava-scimark2: Monte Carloabn0.011699.44.014.230.054.1446223340.5809249910.468868269.5893678721.6594238320.545259483.868183858.475245489.0776315.2996950110.263039593.0479536113.406678217.9179363314.2428884512.100377087.3914122615.31453812.0336494415.540200233.7266223411.4554538710.15972547.827.79593850.12594825.84367870375308132708840340498221703535853100635087222.67247.97257.372837642.218.8310.8018.86146935.32281.41.508879667.36233952.56852771.556506634.133283143.187914611.406862381.472357151.462298271.473070622.192754750.994470242.593747384.363090042.442706582.922660111.444051622.736775162.652733332.971126322.360486753.770149232.2205835723.813353.913.146.151644.3310381.182984.34208.591551.090.011702.24.404.360.053.9167244439.153903969.703572279.7270698521.748182321.555324555.150486957.768936638.187623985.451005949.501013763.041511311.7961130116.8858280212.9197816811.75197227.9385809914.7333335912.1029138614.126497273.9573233112.134295469.930870167.658.06584230.12619105.91369661334908182523110338452998803537869950623947293.57285.47299.87367.57733.917.1211.4020.55146577.42281.31.184789665.905636312.057964561.12066772.964163542.565587041.503790971.289586781.214504961.489549521.790715341.141985772.486888174.139904022.207099682.534736391.135650282.264764792.138587712.491853712.241861823.335615631.9352807426.103322.563.146.071644.3310396.362821.91208.591541.63OpenBenchmarking.org

WebP2 Image Encode

Encode Settings: Quality 100, Lossless Compression

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Lossless Compressionabn0.00230.00460.00690.00920.01150.010.011. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Xmrig

Variant: GhostRider - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: GhostRider - Hash Count: 1Mabn4008001200160020001699.41702.21. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

PyTorch

Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_labn0.991.982.973.964.954.014.40MIN: 3.52 / MAX: 4.18MIN: 3.46 / MAX: 4.55

PyTorch

Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_labn0.9811.9622.9433.9244.9054.234.36MIN: 3.7 / MAX: 4.33MIN: 3.55 / MAX: 4.59

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7abn0.01130.02260.03390.04520.05650.050.051. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Apache Spark TPC-H

Scale Factor: 10 - Q22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q22abn0.93251.8652.79753.734.66254.144622333.91672444

Apache Spark TPC-H

Scale Factor: 10 - Q21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q21abn91827364540.5839.15

Apache Spark TPC-H

Scale Factor: 10 - Q20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q20abn369121510.468868269.70357227

Apache Spark TPC-H

Scale Factor: 10 - Q19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q19abn36912159.589367879.72706985

Apache Spark TPC-H

Scale Factor: 10 - Q18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q18abn51015202521.6621.75

Apache Spark TPC-H

Scale Factor: 10 - Q17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q17abn51015202520.5521.56

Apache Spark TPC-H

Scale Factor: 10 - Q16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q16abn1.15892.31783.47674.63565.79453.868183855.15048695

Apache Spark TPC-H

Scale Factor: 10 - Q15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q15abn2468108.475245487.76893663

Apache Spark TPC-H

Scale Factor: 10 - Q14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q14abn36912159.077631008.18762398

Apache Spark TPC-H

Scale Factor: 10 - Q13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q13abn1.22652.4533.67954.9066.13255.299695015.45100594

Apache Spark TPC-H

Scale Factor: 10 - Q12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q12abn369121510.263039599.50101376

Apache Spark TPC-H

Scale Factor: 10 - Q11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q11abn0.68581.37162.05742.74323.4293.047953613.04151130

Apache Spark TPC-H

Scale Factor: 10 - Q10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q10abn369121513.4111.80

Apache Spark TPC-H

Scale Factor: 10 - Q09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q09abn4812162017.9216.89

Apache Spark TPC-H

Scale Factor: 10 - Q08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q08abn4812162014.2412.92

Apache Spark TPC-H

Scale Factor: 10 - Q07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q07abn369121512.1011.75

Apache Spark TPC-H

Scale Factor: 10 - Q06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q06abn2468107.391412267.93858099

Apache Spark TPC-H

Scale Factor: 10 - Q05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q05abn4812162015.3114.73

Apache Spark TPC-H

Scale Factor: 10 - Q04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q04abn369121512.0312.10

Apache Spark TPC-H

Scale Factor: 10 - Q03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q03abn4812162015.5414.13

Apache Spark TPC-H

Scale Factor: 10 - Q02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q02abn0.89041.78082.67123.56164.4523.726622343.95732331

Apache Spark TPC-H

Scale Factor: 10 - Q01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Q01abn369121511.4612.13

Apache Spark TPC-H

Scale Factor: 10 - Geometric Mean Of All Queries

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 10 - Geometric Mean Of All Queriesabn369121510.159725409.93087016MIN: 3.05 / MAX: 40.58MIN: 3.04 / MAX: 39.15

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-152abn2468107.827.65MIN: 5.45 / MAX: 8.08MIN: 5.48 / MAX: 8.43

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-152abn2468107.798.06MIN: 6.42 / MAX: 8.07MIN: 6.7 / MAX: 8.27

ScyllaDB

Test: Mixed 1:1

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: Mixed 1:1abn13K26K39K52K65K5938558423

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7abn0.0270.0540.0810.1080.1350.120.121. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

ScyllaDB

Test: Mixed 1:3

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: Mixed 1:3abn13K26K39K52K65K5948261910

PyTorch

Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_labn1.32982.65963.98945.31926.6495.845.91MIN: 5 / MAX: 5.95MIN: 5.23 / MAX: 5.99

OpenSSL

Algorithm: AES-128-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-128-GCMabn8000M16000M24000M32000M40000M36787037530369661334901. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)

OpenSSL

Algorithm: SHA256

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA256abn2000M4000M6000M8000M10000M813270884081825231101. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)

OpenSSL

Algorithm: AES-256-GCM

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: AES-256-GCMabn7000M14000M21000M28000M35000M34049822170338452998801. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)

OpenSSL

Algorithm: SHA512

OpenBenchmarking.orgbyte/s, More Is BetterOpenSSLAlgorithm: SHA512abn800M1600M2400M3200M4000M353585310035378699501. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)

ScyllaDB

Test: Writes

OpenBenchmarking.orgOp/s, More Is BetterScyllaDB 5.2.9Test: Writesabn14K28K42K56K70K6350862394

Xmrig

Variant: CryptoNight-Femto UPX2 - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Femto UPX2 - Hash Count: 1Mabn160032004800640080007222.67293.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: CryptoNight-Heavy - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: CryptoNight-Heavy - Hash Count: 1Mabn160032004800640080007247.97285.41. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Monero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Monero - Hash Count: 1Mabn160032004800640080007257.37299.81. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: KawPow - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: KawPow - Hash Count: 1Mabn160032004800640080007283.07367.51. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

Xmrig

Variant: Wownero - Hash Count: 1M

OpenBenchmarking.orgH/s, More Is BetterXmrig 6.21Variant: Wownero - Hash Count: 1Mabn170034005100680085007642.27733.91. (CXX) g++ options: -fexceptions -fno-rtti -maes -O3 -Ofast -static-libgcc -static-libstdc++ -rdynamic -lssl -lcrypto -luv -lpthread -lrt -ldl -lhwloc

PyTorch

Device: CPU - Batch Size: 16 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 16 - Model: ResNet-50abn51015202518.8317.12MIN: 15.57 / MAX: 19.37MIN: 12.9 / MAX: 18.03

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-152

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-152abn369121510.8011.40MIN: 9.26 / MAX: 11.18MIN: 9.64 / MAX: 11.8

PyTorch

Device: CPU - Batch Size: 32 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 32 - Model: ResNet-50abn51015202518.8620.55MIN: 16.43 / MAX: 19.67MIN: 16.69 / MAX: 21.23

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgverify/s, More Is BetterOpenSSLAlgorithm: RSA4096abn30K60K90K120K150K146935.3146577.41. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)

OpenSSL

Algorithm: RSA4096

OpenBenchmarking.orgsign/s, More Is BetterOpenSSLAlgorithm: RSA4096abn50010001500200025002281.42281.31. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)

Apache Spark TPC-H

Scale Factor: 1 - Q22

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q22abn0.33950.6791.01851.3581.69751.508879661.18478966

Apache Spark TPC-H

Scale Factor: 1 - Q21

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q21abn2468107.362339505.90563631

Apache Spark TPC-H

Scale Factor: 1 - Q20

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q20abn0.57791.15581.73372.31162.88952.568527702.05796456

Apache Spark TPC-H

Scale Factor: 1 - Q19

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q19abn0.35020.70041.05061.40081.7511.556506631.12066770

Apache Spark TPC-H

Scale Factor: 1 - Q18

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q18abn0.931.862.793.724.654.133283142.96416354

Apache Spark TPC-H

Scale Factor: 1 - Q17

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q17abn0.71731.43462.15192.86923.58653.187914612.56558704

Apache Spark TPC-H

Scale Factor: 1 - Q16

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q16abn0.33840.67681.01521.35361.6921.406862381.50379097

Apache Spark TPC-H

Scale Factor: 1 - Q15

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q15abn0.33130.66260.99391.32521.65651.472357151.28958678

Apache Spark TPC-H

Scale Factor: 1 - Q14

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q14abn0.3290.6580.9871.3161.6451.462298271.21450496

Apache Spark TPC-H

Scale Factor: 1 - Q13

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q13abn0.33510.67021.00531.34041.67551.473070621.48954952

Apache Spark TPC-H

Scale Factor: 1 - Q12

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q12abn0.49340.98681.48021.97362.4672.192754751.79071534

Apache Spark TPC-H

Scale Factor: 1 - Q11

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q11abn0.25690.51380.77071.02761.28450.994470241.14198577

Apache Spark TPC-H

Scale Factor: 1 - Q10

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q10abn0.58361.16721.75082.33442.9182.593747382.48688817

Apache Spark TPC-H

Scale Factor: 1 - Q09

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q09abn0.98171.96342.94513.92684.90854.363090044.13990402

Apache Spark TPC-H

Scale Factor: 1 - Q08

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q08abn0.54961.09921.64882.19842.7482.442706582.20709968

Apache Spark TPC-H

Scale Factor: 1 - Q07

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q07abn0.65761.31521.97282.63043.2882.922660112.53473639

Apache Spark TPC-H

Scale Factor: 1 - Q06

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q06abn0.32490.64980.97471.29961.62451.444051621.13565028

Apache Spark TPC-H

Scale Factor: 1 - Q05

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q05abn0.61581.23161.84742.46323.0792.736775162.26476479

Apache Spark TPC-H

Scale Factor: 1 - Q04

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q04abn0.59691.19381.79072.38762.98452.652733332.13858771

Apache Spark TPC-H

Scale Factor: 1 - Q03

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q03abn0.66851.3372.00552.6743.34252.971126322.49185371

Apache Spark TPC-H

Scale Factor: 1 - Q02

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q02abn0.53111.06221.59332.12442.65552.360486752.24186182

Apache Spark TPC-H

Scale Factor: 1 - Q01

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Q01abn0.84831.69662.54493.39324.24153.770149233.33561563

Apache Spark TPC-H

Scale Factor: 1 - Geometric Mean Of All Queries

OpenBenchmarking.orgSeconds, Fewer Is BetterApache Spark TPC-H 3.5Scale Factor: 1 - Geometric Mean Of All Queriesabn0.49960.99921.49881.99842.4982.220583571.93528074MIN: 0.99 / MAX: 7.36MIN: 1.12 / MAX: 5.91

PyTorch

Device: CPU - Batch Size: 1 - Model: ResNet-50

OpenBenchmarking.orgbatches/sec, More Is BetterPyTorch 2.1Device: CPU - Batch Size: 1 - Model: ResNet-50abn61218243023.8126.10MIN: 20.41 / MAX: 24.74MIN: 21.58 / MAX: 27.16

Java SciMark

Computational Test: Composite

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Compositeabn70014002100280035003353.913322.56

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5abn0.70651.4132.11952.8263.53253.143.141. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

WebP2 Image Encode

Encode Settings: Default

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Defaultabn2468106.156.071. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Java SciMark

Computational Test: Jacobi Successive Over-Relaxation

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Jacobi Successive Over-Relaxationabn4008001200160020001644.331644.33

Java SciMark

Computational Test: Dense LU Matrix Factorization

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Dense LU Matrix Factorizationabn2K4K6K8K10K10381.1810396.36

Java SciMark

Computational Test: Sparse Matrix Multiply

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Sparse Matrix Multiplyabn60012001800240030002984.342821.91

Java SciMark

Computational Test: Fast Fourier Transform

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Fast Fourier Transformabn50100150200250208.59208.59

Java SciMark

Computational Test: Monte Carlo

OpenBenchmarking.orgMflops, More Is BetterJava SciMark 2.2Computational Test: Monte Carloabn300600900120015001551.091541.63

Phoronix Test Suite v10.8.4