Llama.cpp
Llama.cpp is a port of Facebook's LLaMA model in C/C++ developed by Georgi Gerganov. Llama.cpp allows the inference of LLaMA and other supported models in C/C++. For CPU inference Llama.cpp supports AVX2/AVX-512, ARM NEON, and other modern ISAs along with features like OpenBLAS usage.
To run this test with the Phoronix Test Suite, the basic command is: phoronix-test-suite benchmark llama-cpp.
Project Site
github.comSource Repository
github.comTest Created
10 January 2024Last Updated
2 June 2024Test Maintainer
Michael LarabelTest Type
SystemAverage Install Time
43 SecondsAverage Run Time
17 Minutes, 22 SecondsTest Dependencies
C/C++ Compiler Toolchain + BLAS (Basic Linear Algebra Sub-Routine)Accolades
10k+ DownloadsSupported Platforms
** Data based on those opting to upload their test results to OpenBenchmarking.org and users enabling the opt-in anonymous statistics reporting while running benchmarks from an Internet-connected platform.
Data updated weekly as of 20 November 2024.
Suites Using This Test
Performance Metrics
Analyze Test Configuration:Llama.cpp b3067
Model: Meta-Llama-3-8B-Instruct-Q8_0.gguf
OpenBenchmarking.org metrics for this test profile configuration based on 95 public results since 2 June 2024 with the latest data as of 11 October 2024.
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 (Llama.cpp b3067 - Model: Meta-Llama-3-8B-Instruct-Q8_0.gguf) 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.
Based on public OpenBenchmarking.org results, the selected test / test configuration has an average standard deviation of 0.1%.
Notable Instruction Set Usage
Notable instruction set extensions supported by this test, based on an automatic analysis by the Phoronix Test Suite / OpenBenchmarking.org analytics engine.
Found on Intel processors since Sandy Bridge (2011).
Found on AMD processors since Bulldozer (2011).
Found on Intel processors since Haswell (2013).
Found on AMD processors since Excavator (2016).
Found on Intel processors since Haswell (2013).
Found on AMD processors since Bulldozer (2011).
This test profile binary relies on the shared libraries libopenblas.so.0, libm.so.6, libc.so.6, libgfortran.so.5, libquadmath.so.0.
Tested CPU Architectures
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.