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AMD EPYC 7R13 48-Core testing with a Supermicro H12SSL-I v1.02 (2.7 BIOS) and NVIDIA GeForce RTX 3080 10GB on EndeavourOS rolling via the Phoronix Test Suite.

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AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB
January 21
  45 Minutes
AMD EPYC 7R13 48-Core
January 21
  36 Minutes
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curOpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 7R13 48-Core @ 3.73GHz (48 Cores / 96 Threads)Supermicro H12SSL-I v1.02 (2.7 BIOS)AMD Starship/Matisse256GB15363GB Micron_7450_MTFDKCC15T3TFRNVIDIA GeForce RTX 3080 10GBNVIDIA GA102 HD Audio38GN9502 x Intel X710 for 10GbE SFP+EndeavourOS rolling6.7.0-zen3-1-zen (x86_64)Xfce 4.18X Server 1.21.1.11NVIDIA 545.29.064.6.0GCC 13.2.1 20230801 + Clang 16.0.6 + LLVM 16.0.6 + CUDA 12.3btrfs3840x1600ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCur BenchmarksSystem Logs- Transparent Huge Pages: always- NVCC_PREPEND_FLAGS="-ccbin /opt/cuda/bin"- --disable-libssp --disable-libstdcxx-pch --disable-werror --enable-__cxa_atexit --enable-bootstrap --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-languages=ada,c,c++,d,fortran,go,lto,objc,obj-c++ --enable-libstdcxx-backtrace --enable-link-serialization=1 --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-build-config=bootstrap-lto --with-linker-hash-style=gnu - Scaling Governor: amd-pstate-epp performance (EPP: performance) - CPU Microcode: 0xa0011d1 - gather_data_sampling: Not affected + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + 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 IBRS_FW STIBP: always-on RSB filling PBRSB-eIBRS: Not affected + srbds: Not affected + tsx_async_abort: Not affected

currocksdb: Rand Fillrocksdb: Rand Readrocksdb: Update Randrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingrocksdb: Read Rand Write Randonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUpovray: Trace Timememcached: 1:1memcached: 1:5memcached: 5:1memcached: 1:10memcached: 1:100AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GBAMD EPYC 7R13 48-Core496967223375461447591470790478763589756129627591402255.553892133.86859655.414933024.305095243.461.793403.903281.0097711.52753.006911195.24686.39610.652OpenBenchmarking.org

RocksDB

This is a benchmark of Meta/Facebook's RocksDB as an embeddable persistent key-value store for fast storage based on Google's LevelDB. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random FillAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB110K220K330K440K550KSE +/- 1048.18, N = 34969671. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random ReadAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB50M100M150M200M250MSE +/- 214809.66, N = 32233754611. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Update RandomAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB100K200K300K400K500KSE +/- 4418.47, N = 34475911. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Sequential FillAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB100K200K300K400K500KSE +/- 1051.04, N = 34707901. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Random Fill SyncAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB100K200K300K400K500KSE +/- 369.08, N = 34787631. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read While WritingAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB1.3M2.6M3.9M5.2M6.5MSE +/- 22994.63, N = 358975611. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterRocksDB 8.0Test: Read Random Write RandomAMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB600K1200K1800K2400K3000KSE +/- 20667.77, N = 329627591. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

Model: Face Detection FP16 - Device: CPU

AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ./openvino-github/bin/intel64/Release/benchmark_app: error while loading shared libraries: libopencv_core.so.408: cannot open shared object file: No such file or directory

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUAMD EPYC 7R13 48-Core0.40350.8071.21051.6142.0175SE +/- 0.02416, N = 151.79340MIN: 1.341. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUAMD EPYC 7R13 48-Core0.87821.75642.63463.51284.391SE +/- 0.02463, N = 33.90328MIN: 3.531. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAMD EPYC 7R13 48-Core0.22720.45440.68160.90881.136SE +/- 0.00838, N = 31.00977MIN: 0.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAMD EPYC 7R13 48-Core3691215SE +/- 0.09, N = 1511.53MIN: 9.631. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUAMD EPYC 7R13 48-Core0.67661.35322.02982.70643.383SE +/- 0.01842, N = 33.00691MIN: 1.881. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUAMD EPYC 7R13 48-Core30060090012001500SE +/- 25.92, N = 151195.24MIN: 1032.551. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 3.3Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUAMD EPYC 7R13 48-Core150300450600750SE +/- 1.94, N = 3686.40MIN: 630.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl

POV-Ray

This is a test of POV-Ray, the Persistence of Vision Raytracer. POV-Ray is used to create 3D graphics using ray-tracing. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterPOV-Ray 3.7.0.7Trace TimeAMD EPYC 7R13 48-Core3691215SE +/- 0.02, N = 310.651. (CXX) g++ options: -pipe -O3 -ffast-math -march=native -lXpm -lSM -lICE -lX11 -ltiff -ljpeg -lpng -lz -lrt -lm -lboost_thread -lboost_system

Memcached

Memcached is a high performance, distributed memory object caching system. This Memcached test profiles makes use of memtier_benchmark for excuting this CPU/memory-focused server benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:1AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB300K600K900K1200K1500KSE +/- 5721.30, N = 31402255.551. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:5AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB800K1600K2400K3200K4000KSE +/- 15518.47, N = 33892133.861. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 5:1AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB200K400K600K800K1000KSE +/- 2839.29, N = 3859655.411. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:10AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB1.1M2.2M3.3M4.4M5.5MSE +/- 9855.19, N = 34933024.301. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenBenchmarking.orgOps/sec, More Is BetterMemcached 1.6.19Set To Get Ratio: 1:100AMD EPYC 7R13 48-Core - NVIDIA GeForce RTX 3080 10GB1.1M2.2M3.3M4.4M5.5MSE +/- 8768.35, N = 35095243.461. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre