AMD Ryzen Threadripper 2990WX 32-Core testing with a ASUS ROG ZENITH EXTREME (2201 BIOS) and Gigabyte AMD Radeon RX 570 4GB on Ubuntu 22.04 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 2208203-NE-2990WXDAT34
2990WX database server Suite1.0.0SystemTest suite extracted from 2990WX database server.pts/memtier-benchmark-1.4.0-P redis -c 500 --ratio=1:1Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1pts/memtier-benchmark-1.4.0-P redis -c 500 --ratio=1:5Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5pts/memtier-benchmark-1.4.0-P redis -c 500 --ratio=5:1Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1pts/memtier-benchmark-1.4.0-P redis -c 500 --ratio=1:10Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10pts/dragonflydb-1.0.0-c 50 --ratio=1:1Clients: 50 - Set To Get Ratio: 1:1pts/dragonflydb-1.0.0-c 50 --ratio=1:5Clients: 50 - Set To Get Ratio: 1:5pts/dragonflydb-1.0.0-c 50 --ratio=5:1Clients: 50 - Set To Get Ratio: 5:1pts/dragonflydb-1.0.0-c 200 --ratio=1:1Clients: 200 - Set To Get Ratio: 1:1pts/dragonflydb-1.0.0-c 200 --ratio=1:5Clients: 200 - Set To Get Ratio: 1:5pts/dragonflydb-1.0.0-c 200 --ratio=5:1Clients: 200 - Set To Get Ratio: 5:1pts/memcached-1.0.0--ratio=1:1Set To Get Ratio: 1:1pts/memcached-1.0.0--ratio=1:5Set To Get Ratio: 1:5pts/memcached-1.0.0--ratio=5:1Set To Get Ratio: 5:1pts/memtier-benchmark-1.4.0-P redis -c 50 --ratio=1:1Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1pts/memtier-benchmark-1.4.0-P redis -c 50 --ratio=1:5Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5pts/memtier-benchmark-1.4.0-P redis -c 50 --ratio=5:1Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1pts/memtier-benchmark-1.4.0-P redis -c 100 --ratio=1:1Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1pts/memtier-benchmark-1.4.0-P redis -c 100 --ratio=1:5Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5pts/memtier-benchmark-1.4.0-P redis -c 100 --ratio=5:1Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1pts/memtier-benchmark-1.4.0-P redis -c 50 --ratio=1:10Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10pts/memtier-benchmark-1.4.0-P redis -c 100 --ratio=1:10Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10pts/clickhouse-1.1.0100M Rows Web Analytics Dataset, First Run / Cold Cachepts/clickhouse-1.1.0100M Rows Web Analytics Dataset, Second Runpts/clickhouse-1.1.0100M Rows Web Analytics Dataset, Third Runpts/redis-1.4.0-t get -c 50Test: GET - Parallel Connections: 50pts/redis-1.4.0-t set -c 50Test: SET - Parallel Connections: 50pts/redis-1.4.0-t get -c 500Test: GET - Parallel Connections: 500pts/redis-1.4.0-t lpop -c 50Test: LPOP - Parallel Connections: 50pts/redis-1.4.0-t sadd -c 50Test: SADD - Parallel Connections: 50pts/redis-1.4.0-t set -c 500Test: SET - Parallel Connections: 500pts/redis-1.4.0-t get -c 1000Test: GET - Parallel Connections: 1000pts/redis-1.4.0-t lpop -c 500Test: LPOP - Parallel Connections: 500pts/redis-1.4.0-t lpush -c 50Test: LPUSH - Parallel Connections: 50pts/redis-1.4.0-t sadd -c 500Test: SADD - Parallel Connections: 500pts/redis-1.4.0-t set -c 1000Test: SET - Parallel Connections: 1000pts/redis-1.4.0-t lpop -c 1000Test: LPOP - Parallel Connections: 1000pts/redis-1.4.0-t lpush -c 500Test: LPUSH - Parallel Connections: 500pts/redis-1.4.0-t sadd -c 1000Test: SADD - Parallel Connections: 1000pts/redis-1.4.0-t lpush -c 1000Test: LPUSH - Parallel Connections: 1000pts/mnn-2.0.0Model: mobilenetV3pts/mnn-2.0.0Model: squeezenetv1.1pts/mnn-2.0.0Model: resnet-v2-50pts/mnn-2.0.0Model: SqueezeNetV1.0pts/mnn-2.0.0Model: MobileNetV2_224pts/mnn-2.0.0Model: mobilenet-v1-1.0pts/mnn-2.0.0Model: inception-v3pts/ncnn-1.4.0-1Target: CPU - Model: mobilenetpts/ncnn-1.4.0-1Target: CPU-v2-v2 - Model: mobilenet-v2pts/ncnn-1.4.0-1Target: CPU-v3-v3 - Model: mobilenet-v3pts/ncnn-1.4.0-1Target: CPU - Model: shufflenet-v2pts/ncnn-1.4.0-1Target: CPU - Model: mnasnetpts/ncnn-1.4.0-1Target: CPU - Model: efficientnet-b0pts/ncnn-1.4.0-1Target: CPU - Model: blazefacepts/ncnn-1.4.0-1Target: CPU - Model: googlenetpts/ncnn-1.4.0-1Target: CPU - Model: vgg16pts/ncnn-1.4.0-1Target: CPU - Model: resnet18pts/ncnn-1.4.0-1Target: CPU - Model: alexnetpts/ncnn-1.4.0-1Target: CPU - Model: resnet50pts/ncnn-1.4.0-1Target: CPU - Model: yolov4-tinypts/ncnn-1.4.0-1Target: CPU - Model: squeezenet_ssdpts/ncnn-1.4.0-1Target: CPU - Model: regnety_400mpts/ncnn-1.4.0-1Target: CPU - Model: vision_transformerpts/ncnn-1.4.0-1Target: CPU - Model: FastestDet