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.
Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2401217-NE-CUR12004850
cur Suite1.0.0SystemTest suite extracted from cur.pts/memcached-1.2.0--ratio=1:100Set To Get Ratio: 1:100pts/memcached-1.2.0--ratio=1:10Set To Get Ratio: 1:10pts/memcached-1.2.0--ratio=5:1Set To Get Ratio: 5:1pts/memcached-1.2.0--ratio=1:5Set To Get Ratio: 1:5pts/memcached-1.2.0--ratio=1:1Set To Get Ratio: 1:1pts/povray-1.2.1Trace Timepts/onednn-3.3.0--rnn --batch=inputs/rnn/perf_rnn_inference_lb --cfg=f32 --engine=cpuHarness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUpts/onednn-3.3.0--deconv --batch=inputs/deconv/shapes_3d --cfg=f32 --engine=cpuHarness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUpts/onednn-3.3.0--deconv --batch=inputs/deconv/shapes_1d --cfg=f32 --engine=cpuHarness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUpts/onednn-3.3.0--conv --batch=inputs/conv/shapes_auto --cfg=f32 --engine=cpuHarness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUpts/onednn-3.3.0--ip --batch=inputs/ip/shapes_3d --cfg=f32 --engine=cpuHarness: IP Shapes 3D - Data Type: f32 - Engine: CPUpts/onednn-3.3.0--ip --batch=inputs/ip/shapes_1d --cfg=f32 --engine=cpuHarness: IP Shapes 1D - Data Type: f32 - Engine: CPUpts/rocksdb-1.5.0--benchmarks="readrandomwriterandom"Test: Read Random Write Randompts/rocksdb-1.5.0--benchmarks="readwhilewriting"Test: Read While Writingpts/rocksdb-1.5.0--benchmarks="fillsync"Test: Random Fill Syncpts/rocksdb-1.5.0--benchmarks="fillseq"Test: Sequential Fillpts/rocksdb-1.5.0--benchmarks="updaterandom"Test: Update Randompts/rocksdb-1.5.0--benchmarks="readrandom"Test: Random Readpts/rocksdb-1.5.0--benchmarks="fillrandom"Test: Random Fillpts/onednn-3.3.0--rnn --batch=inputs/rnn/perf_rnn_training --cfg=f32 --engine=cpuHarness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUpts/openvino-1.4.0-m models/intel/face-detection-0206/FP16/face-detection-0206.xml -d CPUModel: Face Detection FP16 - Device: CPU