diff --git a/benchmark/README.md b/benchmark/README.md
index 984d77d7..5023d5e4 100644
--- a/benchmark/README.md
+++ b/benchmark/README.md
@@ -1,5 +1,10 @@
 To run benchmarks, run the following script.
 ```
 # to compare current version and master using 10 cores and CUTEst and PowerModels.jl problems,
-julia runbenchmarks.jl 10 power cutest current master 
+julia runbenchmarks.jl 10 power cutest current master
+```
+
+By default, logs are deactivated. To active them, please add `verbose` to the options:
+```
+julia runbenchmarks.jl 10 power cutest current master verbose
 ```
diff --git a/benchmark/benchmark-cutest.jl b/benchmark/benchmark-cutest.jl
index d12a6ead..f5c49375 100644
--- a/benchmark/benchmark-cutest.jl
+++ b/benchmark/benchmark-cutest.jl
@@ -1,6 +1,6 @@
 include("config.jl")
 
-function get_status(code::Symbol) 
+function get_status(code::Symbol)
     if code == :first_order
         return 1
     elseif code == :acceptable
@@ -13,13 +13,13 @@ end
 @everywhere using CUTEst
 
 if SOLVER == "master"
-    @everywhere solver = nlp -> madnlp(nlp,linear_solver=MadNLPMa57,max_wall_time=900.,tol=1e-6)
+    @everywhere solver = nlp -> madnlp(nlp,linear_solver=MadNLPMa57,max_wall_time=900.,tol=1e-6, print_level=PRINT_LEVEL)
     @everywhere using MadNLP, MadNLPHSL
 elseif SOLVER == "current"
-    @everywhere solver = nlp -> madnlp(nlp,linear_solver=MadNLPMa57,max_wall_time=900.,tol=1e-6)
+    @everywhere solver = nlp -> madnlp(nlp,linear_solver=MadNLPMa57,max_wall_time=900.,tol=1e-6, print_level=PRINT_LEVEL)
     @everywhere using MadNLP, MadNLPHSL
 elseif SOLVER == "ipopt"
-    @everywhere solver = nlp -> ipopt(nlp,linear_solver="ma57",max_cpu_time=900.,tol=1e-6)
+    @everywhere solver = nlp -> ipopt(nlp,linear_solver="ma57",max_cpu_time=900.,tol=1e-6, print_level=PRINT_LEVEL)
     @everywhere using NLPModelsIpopt
 elseif SOLVER == "knitro"
     # TODO
@@ -51,7 +51,7 @@ function benchmark(solver,probs;warm_up_probs = [])
 
     println("Decoding problems")
     broadcast(decodemodel,probs)
-    
+
     println("Solving problems")
     retvals = pmap(prob->evalmodel(prob,solver),probs)
     time   = [retval.elapsed_time for retval in retvals]
@@ -63,7 +63,7 @@ exclude = [
     "PFIT1","PFIT2","PFIT4","DENSCHNE","SPECANNE","DJTL", "EG3","OET7",
     "PRIMAL3","TAX213322","TAXR213322","TAX53322","TAXR53322","HIMMELP2","MOSARQP2","LUKVLE11",
     "CYCLOOCT","CYCLOOCF","LIPPERT1","GAUSSELM","A2NSSSSL",
-    "YATP1LS","YATP2LS","YATP1CLS","YATP2CLS","BA-L52LS","BA-L73LS","BA-L21LS","CRESC132"    
+    "YATP1LS","YATP2LS","YATP1CLS","YATP2CLS","BA-L52LS","BA-L73LS","BA-L21LS","CRESC132"
 ]
 
 
@@ -76,4 +76,4 @@ time,status = benchmark(solver,probs;warm_up_probs = ["EIGMINA"])
 
 writedlm("name-cutest.csv",probs,',')
 writedlm("time-cutest-$(SOLVER).csv",time,',')
-writedlm("status-cutest-$(SOLVER).csv",status),',' 
+writedlm("status-cutest-$(SOLVER).csv",status),','
diff --git a/benchmark/benchmark-power.jl b/benchmark/benchmark-power.jl
index 0c1d7dee..cbd15161 100644
--- a/benchmark/benchmark-power.jl
+++ b/benchmark/benchmark-power.jl
@@ -1,9 +1,16 @@
-const PGLIB_PATH = ENV["PGLIB_PATH"]
+if haskey(ENV, "PGLIB_PATH")
+    const PGLIB_PATH = ENV["PGLIB_PATH"]
+else
+    error("Unable to find path to PGLIB benchmark.\n"*
+          "Please set environment variable `PGLIB_PATH` to run benchmark with PowerModels.jl")
+end
 
 include("config.jl")
 
-using MathOptInterface; const MOI=MathOptInterface
-function get_status(code::MOI.TerminationStatusCode) 
+using MathOptInterface
+const MOI = MathOptInterface
+
+function get_status(code::MOI.TerminationStatusCode)
     if code == MOI.LOCALLY_SOLVED
         return 1
     elseif code == MOI.ALMOST_OPTIMAL
@@ -19,17 +26,17 @@ end
 if SOLVER == "master"
     @everywhere solver = prob ->
         run_opf(joinpath(PGLIB_PATH,prob[1]), prob[2],
-                ()->MadNLP.Optimizer(linear_solver=MadNLPMa57,max_wall_time=900.,tol=1e-6))
+                ()->MadNLP.Optimizer(linear_solver=MadNLPMa57,max_wall_time=900.,tol=1e-6, print_level=PRINT_LEVEL))
     @everywhere using MadNLP, MadNLPHSL
 elseif SOLVER == "current"
     @everywhere solver = prob ->
         run_opf(joinpath(PGLIB_PATH,prob[1]), prob[2],
-                ()->MadNLP.Optimizer(linear_solver=MadNLPMa57,max_wall_time=900.,tol=1e-6))
+                ()->MadNLP.Optimizer(linear_solver=MadNLPMa57,max_wall_time=900.,tol=1e-6, print_level=PRINT_LEVEL))
     @everywhere using MadNLP, MadNLPHSL
 elseif SOLVER == "ipopt"
     @everywhere solver = prob ->
         run_opf(joinpath(PGLIB_PATH,prob[1]), prob[2],
-                ()->Ipopt.Optimizer(linear_solver="ma57",max_cpu_time=900.,tol=1e-6))
+                ()->Ipopt.Optimizer(linear_solver="ma57",max_cpu_time=900.,tol=1e-6, print_level=PRINT_LEVEL))
     @everywhere using Ipopt
 elseif SOLVER == "knitro"
     # TODO
@@ -53,7 +60,7 @@ function benchmark(solver,probs;warm_up_probs = [])
     rs = [remotecall.(solver,i,warm_up_probs) for i in procs() if i!= 1]
     ws = [wait.(r) for r in rs]
     fs= [fetch.(r) for r in rs]
-    
+
     println("Solving problems")
     retvals = pmap(prob->evalmodel(prob,solver),probs)
     time   = [retval["solve_time"] for retval in retvals]
@@ -73,4 +80,4 @@ time,status = benchmark(solver,probs;warm_up_probs = [("pglib_opf_case1888_rte.m
 
 writedlm("name-power.csv",name,',')
 writedlm("time-power-$(SOLVER).csv",time)
-writedlm("status-power-$(SOLVER).csv",status) 
+writedlm("status-power-$(SOLVER).csv",status)
diff --git a/benchmark/config.jl b/benchmark/config.jl
index 3f9f7203..f68a6c70 100644
--- a/benchmark/config.jl
+++ b/benchmark/config.jl
@@ -3,6 +3,7 @@ using Pkg, Distributed, DelimitedFiles
 const NP = ARGS[1]
 const SOLVER = ARGS[2]
 
+
 addprocs(parse(Int,NP),exeflags="--project=.")
 Pkg.instantiate()
 
@@ -19,3 +20,13 @@ elseif SOLVER == "knitro"
 else
     error("Proper ARGS should be given")
 end
+
+# Set verbose option
+if SOLVER == "ipopt"
+    const PRINT_LEVEL = (ARGS[3] == "verbose") ? 5 : 0
+elseif SOLVER == "knitro"
+    const PRINT_LEVEL = (ARGS[3] == "verbose") ? 3 : 0
+else
+    using MadNLP
+    const PRINT_LEVEL = (ARGS[3] == "verbose") ? MadNLP.INFO : MadNLP.ERROR
+end
diff --git a/benchmark/runbenchmarks.jl b/benchmark/runbenchmarks.jl
index fd31c1b9..a6379185 100644
--- a/benchmark/runbenchmarks.jl
+++ b/benchmark/runbenchmarks.jl
@@ -2,13 +2,19 @@ const NP = ARGS[1]
 
 const CLASSES = filter(e-> e in ["cutest","power"], ARGS)
 const SOLVERS = filter(e-> e in ["current","master","ipopt","knitro"], ARGS)
+const PROJECT_PATH = dirname(@__FILE__)
+const VERBOSE = ("verbose" in ARGS) ? "verbose" : "none"
 
-cd(@__DIR__)
-cp(".Project.toml","Project.toml",force=true)
+cp(
+    joinpath(PROJECT_PATH, ".Project.toml"),
+    joinpath(PROJECT_PATH, "Project.toml"),
+    force=true
+)
 
 for class in CLASSES
     for solver in SOLVERS
-        run(`julia --project=. benchmark-$class.jl $NP $solver`)
+        launch_script = joinpath(PROJECT_PATH, "benchmark-$class.jl")
+        run(`julia --project=$PROJECT_PATH $launch_script $NP $solver $VERBOSE`)
     end
 end