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 2312047-NE-DEC10324710 dec - Phoronix Test Suite 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&sro .
dec Processor Motherboard Chipset Memory Disk Graphics Network OS Kernel Display Server Compiler File-System Screen Resolution a bn AMD EPYC 7F32 8-Core @ 3.70GHz (8 Cores / 16 Threads) ASRockRack EPYCD8 (P2.40 BIOS) AMD Starship/Matisse 28GB Samsung SSD 970 EVO Plus 250GB ASPEED 2 x Intel I350 Debian 12 6.1.0-11-amd64 (x86_64) X Server GCC 12.2.0 ext4 1024x768 OpenBenchmarking.org Kernel Details - Transparent Huge Pages: always Compiler 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 3.11.2 Security 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
dec webp2: Quality 100, Lossless Compression xmrig: GhostRider - 1M pytorch: CPU - 16 - Efficientnet_v2_l pytorch: CPU - 32 - Efficientnet_v2_l webp2: Quality 95, Compression Effort 7 spark-tpch: 10 - Q22 spark-tpch: 10 - Q21 spark-tpch: 10 - Q20 spark-tpch: 10 - Q19 spark-tpch: 10 - Q18 spark-tpch: 10 - Q17 spark-tpch: 10 - Q16 spark-tpch: 10 - Q15 spark-tpch: 10 - Q14 spark-tpch: 10 - Q13 spark-tpch: 10 - Q12 spark-tpch: 10 - Q11 spark-tpch: 10 - Q10 spark-tpch: 10 - Q09 spark-tpch: 10 - Q08 spark-tpch: 10 - Q07 spark-tpch: 10 - Q06 spark-tpch: 10 - Q05 spark-tpch: 10 - Q04 spark-tpch: 10 - Q03 spark-tpch: 10 - Q02 spark-tpch: 10 - Q01 spark-tpch: 10 - Geometric Mean Of All Queries pytorch: CPU - 32 - ResNet-152 pytorch: CPU - 16 - ResNet-152 scylladb: Mixed 1:1 webp2: Quality 75, Compression Effort 7 scylladb: Mixed 1:3 pytorch: CPU - 1 - Efficientnet_v2_l openssl: AES-128-GCM openssl: SHA256 openssl: AES-256-GCM openssl: SHA512 scylladb: Writes xmrig: CryptoNight-Femto UPX2 - 1M xmrig: CryptoNight-Heavy - 1M xmrig: Monero - 1M xmrig: KawPow - 1M xmrig: Wownero - 1M pytorch: CPU - 16 - ResNet-50 pytorch: CPU - 1 - ResNet-152 pytorch: CPU - 32 - ResNet-50 openssl: RSA4096 openssl: RSA4096 spark-tpch: 1 - Q22 spark-tpch: 1 - Q21 spark-tpch: 1 - Q20 spark-tpch: 1 - Q19 spark-tpch: 1 - Q18 spark-tpch: 1 - Q17 spark-tpch: 1 - Q16 spark-tpch: 1 - Q15 spark-tpch: 1 - Q14 spark-tpch: 1 - Q13 spark-tpch: 1 - Q12 spark-tpch: 1 - Q11 spark-tpch: 1 - Q10 spark-tpch: 1 - Q09 spark-tpch: 1 - Q08 spark-tpch: 1 - Q07 spark-tpch: 1 - Q06 spark-tpch: 1 - Q05 spark-tpch: 1 - Q04 spark-tpch: 1 - Q03 spark-tpch: 1 - Q02 spark-tpch: 1 - Q01 spark-tpch: 1 - Geometric Mean Of All Queries pytorch: CPU - 1 - ResNet-50 java-scimark2: Composite webp2: Quality 100, Compression Effort 5 webp2: Default java-scimark2: Jacobi Successive Over-Relaxation java-scimark2: Dense LU Matrix Factorization java-scimark2: Sparse Matrix Multiply java-scimark2: Fast Fourier Transform java-scimark2: Monte Carlo a bn 0.01 1699.4 4.01 4.23 0.05 4.14462233 40.58092499 10.46886826 9.58936787 21.65942383 20.54525948 3.86818385 8.47524548 9.077631 5.29969501 10.26303959 3.04795361 13.4066782 17.91793633 14.24288845 12.10037708 7.39141226 15.314538 12.03364944 15.54020023 3.72662234 11.45545387 10.1597254 7.82 7.79 59385 0.12 59482 5.84 36787037530 8132708840 34049822170 3535853100 63508 7222.6 7247.9 7257.3 7283 7642.2 18.83 10.80 18.86 146935.3 2281.4 1.50887966 7.3623395 2.5685277 1.55650663 4.13328314 3.18791461 1.40686238 1.47235715 1.46229827 1.47307062 2.19275475 0.99447024 2.59374738 4.36309004 2.44270658 2.92266011 1.44405162 2.73677516 2.65273333 2.97112632 2.36048675 3.77014923 2.22058357 23.81 3353.91 3.14 6.15 1644.33 10381.18 2984.34 208.59 1551.09 0.01 1702.2 4.40 4.36 0.05 3.91672444 39.15390396 9.70357227 9.72706985 21.7481823 21.55532455 5.15048695 7.76893663 8.18762398 5.45100594 9.50101376 3.0415113 11.79611301 16.88582802 12.91978168 11.7519722 7.93858099 14.73333359 12.10291386 14.12649727 3.95732331 12.13429546 9.93087016 7.65 8.06 58423 0.12 61910 5.91 36966133490 8182523110 33845299880 3537869950 62394 7293.5 7285.4 7299.8 7367.5 7733.9 17.12 11.40 20.55 146577.4 2281.3 1.18478966 5.90563631 2.05796456 1.1206677 2.96416354 2.56558704 1.50379097 1.28958678 1.21450496 1.48954952 1.79071534 1.14198577 2.48688817 4.13990402 2.20709968 2.53473639 1.13565028 2.26476479 2.13858771 2.49185371 2.24186182 3.33561563 1.93528074 26.10 3322.56 3.14 6.07 1644.33 10396.36 2821.91 208.59 1541.63 OpenBenchmarking.org
WebP2 Image Encode Encode Settings: Quality 100, Lossless Compression OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 100, Lossless Compression a bn 0.0023 0.0046 0.0069 0.0092 0.0115 0.01 0.01 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
Xmrig Variant: GhostRider - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: GhostRider - Hash Count: 1M a bn 400 800 1200 1600 2000 1699.4 1702.2 1. (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.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: Efficientnet_v2_l a bn 0.99 1.98 2.97 3.96 4.95 4.01 4.40 MIN: 3.52 / MAX: 4.18 MIN: 3.46 / MAX: 4.55
PyTorch Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: Efficientnet_v2_l a bn 0.981 1.962 2.943 3.924 4.905 4.23 4.36 MIN: 3.7 / MAX: 4.33 MIN: 3.55 / MAX: 4.59
WebP2 Image Encode Encode Settings: Quality 95, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 95, Compression Effort 7 a bn 0.0113 0.0226 0.0339 0.0452 0.0565 0.05 0.05 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
Apache Spark TPC-H Scale Factor: 10 - Q22 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q22 a bn 0.9325 1.865 2.7975 3.73 4.6625 4.14462233 3.91672444
Apache Spark TPC-H Scale Factor: 10 - Q21 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q21 a bn 9 18 27 36 45 40.58 39.15
Apache Spark TPC-H Scale Factor: 10 - Q20 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q20 a bn 3 6 9 12 15 10.46886826 9.70357227
Apache Spark TPC-H Scale Factor: 10 - Q19 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q19 a bn 3 6 9 12 15 9.58936787 9.72706985
Apache Spark TPC-H Scale Factor: 10 - Q18 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q18 a bn 5 10 15 20 25 21.66 21.75
Apache Spark TPC-H Scale Factor: 10 - Q17 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q17 a bn 5 10 15 20 25 20.55 21.56
Apache Spark TPC-H Scale Factor: 10 - Q16 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q16 a bn 1.1589 2.3178 3.4767 4.6356 5.7945 3.86818385 5.15048695
Apache Spark TPC-H Scale Factor: 10 - Q15 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q15 a bn 2 4 6 8 10 8.47524548 7.76893663
Apache Spark TPC-H Scale Factor: 10 - Q14 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q14 a bn 3 6 9 12 15 9.07763100 8.18762398
Apache Spark TPC-H Scale Factor: 10 - Q13 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q13 a bn 1.2265 2.453 3.6795 4.906 6.1325 5.29969501 5.45100594
Apache Spark TPC-H Scale Factor: 10 - Q12 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q12 a bn 3 6 9 12 15 10.26303959 9.50101376
Apache Spark TPC-H Scale Factor: 10 - Q11 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q11 a bn 0.6858 1.3716 2.0574 2.7432 3.429 3.04795361 3.04151130
Apache Spark TPC-H Scale Factor: 10 - Q10 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q10 a bn 3 6 9 12 15 13.41 11.80
Apache Spark TPC-H Scale Factor: 10 - Q09 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q09 a bn 4 8 12 16 20 17.92 16.89
Apache Spark TPC-H Scale Factor: 10 - Q08 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q08 a bn 4 8 12 16 20 14.24 12.92
Apache Spark TPC-H Scale Factor: 10 - Q07 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q07 a bn 3 6 9 12 15 12.10 11.75
Apache Spark TPC-H Scale Factor: 10 - Q06 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q06 a bn 2 4 6 8 10 7.39141226 7.93858099
Apache Spark TPC-H Scale Factor: 10 - Q05 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q05 a bn 4 8 12 16 20 15.31 14.73
Apache Spark TPC-H Scale Factor: 10 - Q04 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q04 a bn 3 6 9 12 15 12.03 12.10
Apache Spark TPC-H Scale Factor: 10 - Q03 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q03 a bn 4 8 12 16 20 15.54 14.13
Apache Spark TPC-H Scale Factor: 10 - Q02 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q02 a bn 0.8904 1.7808 2.6712 3.5616 4.452 3.72662234 3.95732331
Apache Spark TPC-H Scale Factor: 10 - Q01 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Q01 a bn 3 6 9 12 15 11.46 12.13
Apache Spark TPC-H Scale Factor: 10 - Geometric Mean Of All Queries OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 10 - Geometric Mean Of All Queries a bn 3 6 9 12 15 10.15972540 9.93087016 MIN: 3.05 / MAX: 40.58 MIN: 3.04 / MAX: 39.15
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-152 a bn 2 4 6 8 10 7.82 7.65 MIN: 5.45 / MAX: 8.08 MIN: 5.48 / MAX: 8.43
PyTorch Device: CPU - Batch Size: 16 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-152 a bn 2 4 6 8 10 7.79 8.06 MIN: 6.42 / MAX: 8.07 MIN: 6.7 / MAX: 8.27
ScyllaDB Test: Mixed 1:1 OpenBenchmarking.org Op/s, More Is Better ScyllaDB 5.2.9 Test: Mixed 1:1 a bn 13K 26K 39K 52K 65K 59385 58423
WebP2 Image Encode Encode Settings: Quality 75, Compression Effort 7 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 75, Compression Effort 7 a bn 0.027 0.054 0.081 0.108 0.135 0.12 0.12 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
ScyllaDB Test: Mixed 1:3 OpenBenchmarking.org Op/s, More Is Better ScyllaDB 5.2.9 Test: Mixed 1:3 a bn 13K 26K 39K 52K 65K 59482 61910
PyTorch Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: Efficientnet_v2_l a bn 1.3298 2.6596 3.9894 5.3192 6.649 5.84 5.91 MIN: 5 / MAX: 5.95 MIN: 5.23 / MAX: 5.99
OpenSSL Algorithm: AES-128-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: AES-128-GCM a bn 8000M 16000M 24000M 32000M 40000M 36787037530 36966133490 1. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)
OpenSSL Algorithm: SHA256 OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: SHA256 a bn 2000M 4000M 6000M 8000M 10000M 8132708840 8182523110 1. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)
OpenSSL Algorithm: AES-256-GCM OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: AES-256-GCM a bn 7000M 14000M 21000M 28000M 35000M 34049822170 33845299880 1. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)
OpenSSL Algorithm: SHA512 OpenBenchmarking.org byte/s, More Is Better OpenSSL Algorithm: SHA512 a bn 800M 1600M 2400M 3200M 4000M 3535853100 3537869950 1. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)
ScyllaDB Test: Writes OpenBenchmarking.org Op/s, More Is Better ScyllaDB 5.2.9 Test: Writes a bn 14K 28K 42K 56K 70K 63508 62394
Xmrig Variant: CryptoNight-Femto UPX2 - Hash Count: 1M OpenBenchmarking.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Femto UPX2 - Hash Count: 1M a bn 1600 3200 4800 6400 8000 7222.6 7293.5 1. (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.org H/s, More Is Better Xmrig 6.21 Variant: CryptoNight-Heavy - Hash Count: 1M a bn 1600 3200 4800 6400 8000 7247.9 7285.4 1. (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.org H/s, More Is Better Xmrig 6.21 Variant: Monero - Hash Count: 1M a bn 1600 3200 4800 6400 8000 7257.3 7299.8 1. (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.org H/s, More Is Better Xmrig 6.21 Variant: KawPow - Hash Count: 1M a bn 1600 3200 4800 6400 8000 7283.0 7367.5 1. (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.org H/s, More Is Better Xmrig 6.21 Variant: Wownero - Hash Count: 1M a bn 1700 3400 5100 6800 8500 7642.2 7733.9 1. (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.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 16 - Model: ResNet-50 a bn 5 10 15 20 25 18.83 17.12 MIN: 15.57 / MAX: 19.37 MIN: 12.9 / MAX: 18.03
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-152 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-152 a bn 3 6 9 12 15 10.80 11.40 MIN: 9.26 / MAX: 11.18 MIN: 9.64 / MAX: 11.8
PyTorch Device: CPU - Batch Size: 32 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 32 - Model: ResNet-50 a bn 5 10 15 20 25 18.86 20.55 MIN: 16.43 / MAX: 19.67 MIN: 16.69 / MAX: 21.23
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org verify/s, More Is Better OpenSSL Algorithm: RSA4096 a bn 30K 60K 90K 120K 150K 146935.3 146577.4 1. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)
OpenSSL Algorithm: RSA4096 OpenBenchmarking.org sign/s, More Is Better OpenSSL Algorithm: RSA4096 a bn 500 1000 1500 2000 2500 2281.4 2281.3 1. OpenSSL 3.0.9 30 May 2023 (Library: OpenSSL 3.0.9 30 May 2023)
Apache Spark TPC-H Scale Factor: 1 - Q22 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q22 a bn 0.3395 0.679 1.0185 1.358 1.6975 1.50887966 1.18478966
Apache Spark TPC-H Scale Factor: 1 - Q21 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q21 a bn 2 4 6 8 10 7.36233950 5.90563631
Apache Spark TPC-H Scale Factor: 1 - Q20 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q20 a bn 0.5779 1.1558 1.7337 2.3116 2.8895 2.56852770 2.05796456
Apache Spark TPC-H Scale Factor: 1 - Q19 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q19 a bn 0.3502 0.7004 1.0506 1.4008 1.751 1.55650663 1.12066770
Apache Spark TPC-H Scale Factor: 1 - Q18 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q18 a bn 0.93 1.86 2.79 3.72 4.65 4.13328314 2.96416354
Apache Spark TPC-H Scale Factor: 1 - Q17 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q17 a bn 0.7173 1.4346 2.1519 2.8692 3.5865 3.18791461 2.56558704
Apache Spark TPC-H Scale Factor: 1 - Q16 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q16 a bn 0.3384 0.6768 1.0152 1.3536 1.692 1.40686238 1.50379097
Apache Spark TPC-H Scale Factor: 1 - Q15 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q15 a bn 0.3313 0.6626 0.9939 1.3252 1.6565 1.47235715 1.28958678
Apache Spark TPC-H Scale Factor: 1 - Q14 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q14 a bn 0.329 0.658 0.987 1.316 1.645 1.46229827 1.21450496
Apache Spark TPC-H Scale Factor: 1 - Q13 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q13 a bn 0.3351 0.6702 1.0053 1.3404 1.6755 1.47307062 1.48954952
Apache Spark TPC-H Scale Factor: 1 - Q12 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q12 a bn 0.4934 0.9868 1.4802 1.9736 2.467 2.19275475 1.79071534
Apache Spark TPC-H Scale Factor: 1 - Q11 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q11 a bn 0.2569 0.5138 0.7707 1.0276 1.2845 0.99447024 1.14198577
Apache Spark TPC-H Scale Factor: 1 - Q10 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q10 a bn 0.5836 1.1672 1.7508 2.3344 2.918 2.59374738 2.48688817
Apache Spark TPC-H Scale Factor: 1 - Q09 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q09 a bn 0.9817 1.9634 2.9451 3.9268 4.9085 4.36309004 4.13990402
Apache Spark TPC-H Scale Factor: 1 - Q08 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q08 a bn 0.5496 1.0992 1.6488 2.1984 2.748 2.44270658 2.20709968
Apache Spark TPC-H Scale Factor: 1 - Q07 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q07 a bn 0.6576 1.3152 1.9728 2.6304 3.288 2.92266011 2.53473639
Apache Spark TPC-H Scale Factor: 1 - Q06 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q06 a bn 0.3249 0.6498 0.9747 1.2996 1.6245 1.44405162 1.13565028
Apache Spark TPC-H Scale Factor: 1 - Q05 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q05 a bn 0.6158 1.2316 1.8474 2.4632 3.079 2.73677516 2.26476479
Apache Spark TPC-H Scale Factor: 1 - Q04 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q04 a bn 0.5969 1.1938 1.7907 2.3876 2.9845 2.65273333 2.13858771
Apache Spark TPC-H Scale Factor: 1 - Q03 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q03 a bn 0.6685 1.337 2.0055 2.674 3.3425 2.97112632 2.49185371
Apache Spark TPC-H Scale Factor: 1 - Q02 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q02 a bn 0.5311 1.0622 1.5933 2.1244 2.6555 2.36048675 2.24186182
Apache Spark TPC-H Scale Factor: 1 - Q01 OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Q01 a bn 0.8483 1.6966 2.5449 3.3932 4.2415 3.77014923 3.33561563
Apache Spark TPC-H Scale Factor: 1 - Geometric Mean Of All Queries OpenBenchmarking.org Seconds, Fewer Is Better Apache Spark TPC-H 3.5 Scale Factor: 1 - Geometric Mean Of All Queries a bn 0.4996 0.9992 1.4988 1.9984 2.498 2.22058357 1.93528074 MIN: 0.99 / MAX: 7.36 MIN: 1.12 / MAX: 5.91
PyTorch Device: CPU - Batch Size: 1 - Model: ResNet-50 OpenBenchmarking.org batches/sec, More Is Better PyTorch 2.1 Device: CPU - Batch Size: 1 - Model: ResNet-50 a bn 6 12 18 24 30 23.81 26.10 MIN: 20.41 / MAX: 24.74 MIN: 21.58 / MAX: 27.16
Java SciMark Computational Test: Composite OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Composite a bn 700 1400 2100 2800 3500 3353.91 3322.56
WebP2 Image Encode Encode Settings: Quality 100, Compression Effort 5 OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Quality 100, Compression Effort 5 a bn 0.7065 1.413 2.1195 2.826 3.5325 3.14 3.14 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
WebP2 Image Encode Encode Settings: Default OpenBenchmarking.org MP/s, More Is Better WebP2 Image Encode 20220823 Encode Settings: Default a bn 2 4 6 8 10 6.15 6.07 1. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl
Java SciMark Computational Test: Jacobi Successive Over-Relaxation OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Jacobi Successive Over-Relaxation a bn 400 800 1200 1600 2000 1644.33 1644.33
Java SciMark Computational Test: Dense LU Matrix Factorization OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Dense LU Matrix Factorization a bn 2K 4K 6K 8K 10K 10381.18 10396.36
Java SciMark Computational Test: Sparse Matrix Multiply OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Sparse Matrix Multiply a bn 600 1200 1800 2400 3000 2984.34 2821.91
Java SciMark Computational Test: Fast Fourier Transform OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Fast Fourier Transform a bn 50 100 150 200 250 208.59 208.59
Java SciMark Computational Test: Monte Carlo OpenBenchmarking.org Mflops, More Is Better Java SciMark 2.2 Computational Test: Monte Carlo a bn 300 600 900 1200 1500 1551.09 1541.63
Phoronix Test Suite v10.8.4