#!/bin/bash # Helper script to run the bench tool on all models and print the results in share-able format printf "Usage: ./bench.sh [n_threads] [encoder-only]\n" if [ -z "$1" ]; then n_threads=4 else n_threads=$1 fi encoder_only=0 if [ -z "$2" ]; then encoder_only=0 else encoder_only=$2 fi models=( \ "tiny" "tiny-q5_0" "tiny-q5_1" "tiny-q8_0" \ "base" "base-q5_0" "base-q5_1" "base-q8_0" \ "small" "small-q5_0" "small-q5_1" "small-q8_0" \ "medium" "medium-q5_0" "medium-q5_1" "medium-q8_0" \ "large" "large-q5_0" "large-q5_1" "large-q8_0" \ ) if [ "$encoder_only" -eq 0 ]; then printf "\n" printf "Running memcpy benchmark\n" printf "\n" ./bench -w 1 -t $n_threads 2>&1 printf "\n" printf "Running ggml_mul_mat benchmark with $n_threads threads\n" printf "\n" ./bench -w 2 -t $n_threads 2>&1 printf "\n" printf "Running benchmark for all models\n" printf "This can take a while!\n" printf "\n" fi printf "| CPU | OS | Config | Model | Th | Load | Enc. | Commit |\n" printf "| --- | -- | ------ | ----- | -- | ---- | ---- | ------ |\n" for model in "${models[@]}"; do # run once to heat-up the cache ./bench -m ./models/ggml-$model.bin -t $n_threads 2>/dev/null 1>/dev/null # actual run # store stderr output in a variable in order to parse it later output=$(./bench -m ./models/ggml-$model.bin -t $n_threads 2>&1) ret=$? # parse the output: load_time=$(echo "$output" | grep "load time" | awk '{print $5}') encode_time=$(echo "$output" | grep "encode time" | awk '{print $5}') system_info=$(echo "$output" | grep "system_info") n_threads=$(echo "$output" | grep "system_info" | awk '{print $4}') # floor to milliseconds load_time=${load_time%.*} encode_time=${encode_time%.*} config="" if [[ $system_info == *"AVX2 = 1"* ]]; then config="$config AVX2" fi if [[ $system_info == *"NEON = 1"* ]]; then config="$config NEON" fi if [[ $system_info == *"BLAS = 1"* ]]; then config="$config BLAS" fi if [[ $system_info == *"COREML = 1"* ]]; then config="$config COREML" fi commit=$(git rev-parse --short HEAD) if [ $ret -eq 0 ]; then printf "| | | $config | $model | $n_threads | $load_time | $encode_time | $commit |\n" fi done