import itertools

n = int(input())
students = []
for _ in range(n):
    m, i, p, c, b, e = map(int, input().split())
    students.append((m, i, p, c, b, e))

# Collect top 5 candidates for each subject
subjects = [0, 1, 2, 3, 4, 5]  # Indices for M, I, P, C, B, E
candidate_indices = set()

for subj in subjects:
    # Sort students by the current subject in descending order and take top 5
    sorted_indices = sorted(range(n), key=lambda x: students[x][subj], reverse=True)
    top_indices = sorted_indices[:5]
    candidate_indices.update(top_indices)

# Convert indices to actual student data
candidates = [students[i] for i in candidate_indices]

max_score = 0

# Generate all combinations of 4 students from candidates
for group in itertools.combinations(candidates, 4):
    m_max = max(s[0] for s in group)
    i_max = max(s[1] for s in group)
    p_max = max(s[2] for s in group)
    c_max = max(s[3] for s in group)
    b_max = max(s[4] for s in group)
    e_max = max(s[5] for s in group)
    product = m_max * i_max * p_max * c_max * b_max * e_max
    if product > max_score:
        max_score = product

print(max_score)