AMD Ryzen 7000/8000 Series vs. 14th Gen Intel Core CPU Performance On Linux 6.10 With 400+ Benchmarks

Written by Michael Larabel in Processors on 8 July 2024 at 11:02 AM EDT. Page 9 of 12. 51 Comments.
ClickHouse benchmark with settings of 100M Rows Hits Dataset, First Run / Cold Cache. Core i9 14900K was the fastest.
ClickHouse benchmark with settings of 100M Rows Hits Dataset, Third Run. Ryzen 9 7950X3D was the fastest.
PostgreSQL benchmark with settings of Scaling Factor: 100, Clients: 1000, Mode: Read Write. Ryzen 9 7950X was the fastest.
PostgreSQL benchmark with settings of Scaling Factor: 100, Clients: 1000, Mode: Read Only. Ryzen 9 7950X3D was the fastest.
CockroachDB benchmark with settings of Workload: KV, 95% Reads, Concurrency: 128. Core i9 14900K was the fastest.
CockroachDB benchmark with settings of Workload: KV, 50% Reads, Concurrency: 128. Core i9 14900K was the fastest.
Memcached benchmark with settings of Set To Get Ratio: 1:10. Core i9 14900K was the fastest.
RocksDB benchmark with settings of Test: Random Read. Core i9 14900K was the fastest.
RocksDB benchmark with settings of Test: Read Random Write Random. Ryzen 9 7950X was the fastest.
Speedb benchmark with settings of Test: Random Read. Core i9 14900K was the fastest.

The Core i9 14900K stands up well in a number of the database workloads while it will be interesting to see how next-generation Intel Arrow Lake and AMD Zen 5 processors compete in this area.

PyBench benchmark with settings of Total For Average Test Times. Core i9 14900K was the fastest.
PyPerformance benchmark with settings of Benchmark: json_loads. Core i9 14900K was the fastest.
PyPerformance benchmark with settings of Benchmark: python_startup. Ryzen 9 7950X was the fastest.
PyPerformance benchmark with settings of Benchmark: async_tree_io. Core i9 14900K was the fastest.

For single-threaded Python scripting performance, Intel Raptor Lake Refresh tends to outrun AMD Zen 4.


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