Magnetic　fluid　hyperthermia　damages　malignant　cells　by　keeping　the　therapeutic　temperature　within　a　specific　range　after　magnetic　nanoparticles　(MNPs)　are　exposed　to　an　alternating　magnetic　field.　The　temperature　distribution　inside　bio-tissue　is　usually　predicted　by　a　classic　Pennes　bio-heat　transfer　equation,　which　considers　a　heat　source　due　to　a　homogeneous　distribution　for　MNPs.　Aiming　at　this　problem,　this　study　compares　the　Pennes　model　to　a　porous　heat　transfer　model,　named　local　thermal　non-equilibrium　equation,　by　considering　an　experiment-based　MNPs　distribution,　and　evaluates　the　thermal　damage　degree　for　malignant　tissue　by　two　different　thermal　dose　methods.　In　addition,　this　study　evaluates　the　effect　of　porosity　and　different　blood　perfusion　rates　on　both　effective　treatment　temperature　and　equivalent　thermal　dose.　Simulation　results　demonstrate　that　different　bio-heat　transfer　models　can　result　in　significant　differences　in　both　the　treatment　temperature　profile　and　the　thermal　damage　degree　for　tumor　region　under　the　same　power　dissipation　of　MNPs.　Furthermore,　scenarios　considering　a　temperature-dependent　blood　perfusion　rate　or　a　lower　porosity　can　have　a　positive　effect　on　the　temperature　distribution　inside　tumor,　while　having　a　lower　value　in　the　maximum　equivalent　thermal　dose　in　both　thermal　dose　evaluation　methods.