The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark spacy.
OpenBenchmarking.org metrics for this test profile configuration based on 245 public results since 7 October 2022 with the latest data as of 22 September 2023.
Below is an overview of the generalized performance for components where there is sufficient statistically significant data based upon user-uploaded results. It is important to keep in mind particularly in the Linux/open-source space there can be vastly different OS configurations, with this overview intended to offer just general guidance as to the performance expectations.
Based on OpenBenchmarking.org data, the selected test / test configuration (spaCy 3.4.1 - Model: en_core_web_lg) has an average run-time of 4 minutes. By default this test profile is set to run at least 3 times but may increase if the standard deviation exceeds pre-defined defaults or other calculations deem additional runs necessary for greater statistical accuracy of the result.
No, based on the automated analysis of the collected public benchmark data, this test / test settings does not generally scale well with increasing CPU core counts. Data based on publicly available results for this test / test settings, separated by vendor, result divided by the reference CPU clock speed, grouped by matching physical CPU core count, and normalized against the smallest core count tested from each vendor for each CPU having a sufficient number of test samples and statistically significant data.
Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.
This test profile binary relies on the shared libraries libm.so.6, libexpat.so.1, libz.so.1, libc.so.6.
This benchmark has been successfully tested on the below mentioned architectures. The CPU architectures listed is where successful OpenBenchmarking.org result uploads occurred, namely for helping to determine if a given test is compatible with various alternative CPU architectures.
2 Systems - 3 Benchmark Results |
Intel Core i5-1135G7 - HP 87E1 - Intel Tiger Lake-LP Ubuntu 22.04 - 6.4.8-060408-generic - GNOME Shell 42.9 |
1 System - 2 Benchmark Results |
Intel Xeon W-3275M - Parallels Software Virtual - Red Hat Virtio + ICH8 Ubuntu 22.04 - 6.2.0-32-generic - GNOME Shell 42.9 |
1 System - 2 Benchmark Results |
2 x Intel Xeon E5-2696 v4 - HUANANZHI X99-F8D PLUS - Intel Xeon E7 v4 Ubuntu 22.04 - 6.4.6-060406-generic - GNOME Shell 42.9 |
1 System - 253 Benchmark Results |
AMD Ryzen 5 7600X 6-Core - ASUS TUF GAMING B650-PLUS WIFI - AMD Device 14d8 Ubuntu 22.04 - 5.19.0-50-generic - GNOME Shell 42.9 |
1 System - 229 Benchmark Results |
AMD Ryzen 7 5800X 8-Core - ASRock X570 Phantom Gaming-ITX/TB3 - AMD Starship Ubuntu 22.04 - 5.19.0-45-generic - GNOME Shell 42.5 |
1 System - 253 Benchmark Results |
Intel Core i7-12700H - Intel NUC12SNKi72 - Intel Alder Lake PCH Ubuntu 22.04 - 5.19.0-42-generic - GNOME Shell 42.5 |
2 Systems - 3 Benchmark Results |
2 x Intel Xeon Gold 5118 - Supermicro X11DDW-L v1.11 - Intel Sky Lake-E DMI3 Registers Arch Linux - 6.2.9-arch1-1 - GNOME Shell 43.4 |
1 System - 2 Benchmark Results |
AMD Ryzen Threadripper 3990X 64-Core - Gigabyte TRX40 DESIGNARE - AMD Starship Ubuntu 20.04 - 5.15.0-67-generic - X Server 1.20.11 |