2990WX database server

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
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Database Test Suite 5 Tests
HPC - High Performance Computing 2 Tests
Machine Learning 2 Tests
Server 5 Tests

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August 19 2022
  2 Hours, 14 Minutes
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August 19 2022
  2 Hours, 17 Minutes
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August 20 2022
  2 Hours, 16 Minutes
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2990WX database server Suite 1.0.0 System Test suite extracted from 2990WX database server. pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=1:1 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:1 pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=1:5 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=5:1 Protocol: Redis - Clients: 500 - Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 500 --ratio=1:10 Protocol: Redis - Clients: 500 - Set To Get Ratio: 1:10 pts/dragonflydb-1.0.0 -c 50 --ratio=1:1 Clients: 50 - Set To Get Ratio: 1:1 pts/dragonflydb-1.0.0 -c 50 --ratio=1:5 Clients: 50 - Set To Get Ratio: 1:5 pts/dragonflydb-1.0.0 -c 50 --ratio=5:1 Clients: 50 - Set To Get Ratio: 5:1 pts/dragonflydb-1.0.0 -c 200 --ratio=1:1 Clients: 200 - Set To Get Ratio: 1:1 pts/dragonflydb-1.0.0 -c 200 --ratio=1:5 Clients: 200 - Set To Get Ratio: 1:5 pts/dragonflydb-1.0.0 -c 200 --ratio=5:1 Clients: 200 - Set To Get Ratio: 5:1 pts/memcached-1.0.0 --ratio=1:1 Set To Get Ratio: 1:1 pts/memcached-1.0.0 --ratio=1:5 Set To Get Ratio: 1:5 pts/memcached-1.0.0 --ratio=5:1 Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=1:1 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:1 pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=1:5 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=5:1 Protocol: Redis - Clients: 50 - Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=1:1 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:1 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=1:5 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:5 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=5:1 Protocol: Redis - Clients: 100 - Set To Get Ratio: 5:1 pts/memtier-benchmark-1.4.0 -P redis -c 50 --ratio=1:10 Protocol: Redis - Clients: 50 - Set To Get Ratio: 1:10 pts/memtier-benchmark-1.4.0 -P redis -c 100 --ratio=1:10 Protocol: Redis - Clients: 100 - Set To Get Ratio: 1:10 pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, First Run / Cold Cache pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Second Run pts/clickhouse-1.1.0 100M Rows Web Analytics Dataset, Third Run pts/redis-1.4.0 -t get -c 50 Test: GET - Parallel Connections: 50 pts/redis-1.4.0 -t set -c 50 Test: SET - Parallel Connections: 50 pts/redis-1.4.0 -t get -c 500 Test: GET - Parallel Connections: 500 pts/redis-1.4.0 -t lpop -c 50 Test: LPOP - Parallel Connections: 50 pts/redis-1.4.0 -t sadd -c 50 Test: SADD - Parallel Connections: 50 pts/redis-1.4.0 -t set -c 500 Test: SET - Parallel Connections: 500 pts/redis-1.4.0 -t get -c 1000 Test: GET - Parallel Connections: 1000 pts/redis-1.4.0 -t lpop -c 500 Test: LPOP - Parallel Connections: 500 pts/redis-1.4.0 -t lpush -c 50 Test: LPUSH - Parallel Connections: 50 pts/redis-1.4.0 -t sadd -c 500 Test: SADD - Parallel Connections: 500 pts/redis-1.4.0 -t set -c 1000 Test: SET - Parallel Connections: 1000 pts/redis-1.4.0 -t lpop -c 1000 Test: LPOP - Parallel Connections: 1000 pts/redis-1.4.0 -t lpush -c 500 Test: LPUSH - Parallel Connections: 500 pts/redis-1.4.0 -t sadd -c 1000 Test: SADD - Parallel Connections: 1000 pts/redis-1.4.0 -t lpush -c 1000 Test: LPUSH - Parallel Connections: 1000 pts/mnn-2.0.0 Model: mobilenetV3 pts/mnn-2.0.0 Model: squeezenetv1.1 pts/mnn-2.0.0 Model: resnet-v2-50 pts/mnn-2.0.0 Model: SqueezeNetV1.0 pts/mnn-2.0.0 Model: MobileNetV2_224 pts/mnn-2.0.0 Model: mobilenet-v1-1.0 pts/mnn-2.0.0 Model: inception-v3 pts/ncnn-1.4.0 -1 Target: CPU - Model: mobilenet pts/ncnn-1.4.0 -1 Target: CPU-v2-v2 - Model: mobilenet-v2 pts/ncnn-1.4.0 -1 Target: CPU-v3-v3 - Model: mobilenet-v3 pts/ncnn-1.4.0 -1 Target: CPU - Model: shufflenet-v2 pts/ncnn-1.4.0 -1 Target: CPU - Model: mnasnet pts/ncnn-1.4.0 -1 Target: CPU - Model: efficientnet-b0 pts/ncnn-1.4.0 -1 Target: CPU - Model: blazeface pts/ncnn-1.4.0 -1 Target: CPU - Model: googlenet pts/ncnn-1.4.0 -1 Target: CPU - Model: vgg16 pts/ncnn-1.4.0 -1 Target: CPU - Model: resnet18 pts/ncnn-1.4.0 -1 Target: CPU - Model: alexnet pts/ncnn-1.4.0 -1 Target: CPU - Model: resnet50 pts/ncnn-1.4.0 -1 Target: CPU - Model: yolov4-tiny pts/ncnn-1.4.0 -1 Target: CPU - Model: squeezenet_ssd pts/ncnn-1.4.0 -1 Target: CPU - Model: regnety_400m pts/ncnn-1.4.0 -1 Target: CPU - Model: vision_transformer pts/ncnn-1.4.0 -1 Target: CPU - Model: FastestDet