{"id":4108,"date":"2024-09-21T14:11:55","date_gmt":"2024-09-21T14:11:55","guid":{"rendered":"https:\/\/howtogeek.blog\/lt\/?p=4108"},"modified":"2024-09-21T14:11:55","modified_gmt":"2024-09-21T14:11:55","slug":"iphone-16-vs-galaxy-s24-comparison-antutu-benchmark-geekbench-scores-and-3d-mark-performance-test","status":"publish","type":"post","link":"https:\/\/howtogeek.blog\/lt\/iphone-16-vs-galaxy-s24-comparison-antutu-benchmark-geekbench-scores-and-3d-mark-performance-test\/","title":{"rendered":"\u201eiPhone 16\u201c ir \u201eGalaxy S24\u201c palyginimas: \u201eAnTuTu Benchmark\u201c, \u201eGeekbench\u201c balai ir \u201e3D Mark\u201c na\u0161umo testas"},"content":{"rendered":"

\u201e IPhone 16\u201c<\/strong> oficialiai pristatytas, o mes jau atlikome etaloninius bandymus, lygindami A18 ir A18 Pro mikroschem\u0173 rinkinius. Dabar palyginsime \u201eiPhone 16\u201c<\/strong> ir \u201eSamsung Galaxy S24\u201c<\/strong> . Abu i\u0161manieji telefonai turi auk\u0161\u010diausios klas\u0117s aparatin\u0119 \u012frang\u0105 ir pa\u017eangias AI galimybes. Panagrin\u0117kime etaloninius rezultatus ir palyginkime du \u012frenginius pagal svarbiausius na\u0161umo rodiklius: centrin\u012f procesori\u0173, GPU, atmint\u012f ir dirbtinio intelekto apdorojim\u0105.<\/p>\n

A18 ir Exynos 2400: specifikacijos<\/span><\/h2>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
iPhone 16<\/strong><\/th>\nGalaxy S24<\/strong><\/th>\n<\/tr>\n<\/thead>\n
I\u0161leidimo data<\/strong><\/td>\n2024 m. rugs\u0117jo m\u0117n<\/td>\n2024 m. sausio m\u0117n<\/td>\n<\/tr>\n
Gamintojas<\/strong><\/td>\nTSMC<\/td>\nSamsung<\/td>\n<\/tr>\n
Gamybos procesas<\/strong><\/td>\n3 nm<\/td>\n4nm LPP+<\/td>\n<\/tr>\n
CPU<\/strong><\/td>\n6 branduoli\u0173 procesorius (2x na\u0161umas, 4x efektyvumo branduoliai)<\/td>\n10 branduoli\u0173 (1 x 3,21 GHz \u2013 Cortex-X4, 2 x 2,9 GHz \u2013 Cortex-A7, 3 x 2,6 GHz \u2013 Cortex-A7, 4 x 1,95 GHz \u2013 Cortex-A5)<\/td>\n<\/tr>\n
GPU<\/strong><\/td>\n5 branduoli\u0173 GPU<\/td>\nSamsung Xclipse 940<\/td>\n<\/tr>\n
RAM<\/strong><\/td>\n8 GB, LPDDR5 (nepatvirtinta)<\/td>\n8 GB, LPDDR5X<\/td>\n<\/tr>\n
Sand\u0117liavimo tipas<\/strong><\/td>\nNVMe<\/td>\nUFS 3.1 (tik 128 GB), UFS 4.0<\/td>\n<\/tr>\n
USB tipas<\/strong><\/td>\nUSB Type-C 2.0<\/td>\nUSB Type-C 3.2<\/td>\n<\/tr>\n
5G modemas<\/strong><\/td>\nNaujasis Qualcomm X70<\/td>\nExynos 5400<\/td>\n<\/tr>\n
Ry\u0161ys<\/strong><\/td>\n\u201eWi-Fi 7\u201c, \u201eBluetooth\u201c 5.3<\/td>\n\u201eWi-Fi 6e\u201c, \u201eBluetooth\u201c 5.3<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Geekbench 6 procesoriaus palyginimas<\/span><\/h2>\n

Kalbant apie procesoriaus na\u0161um\u0105, \u201eGeekbench 6\u201c pateikia svarbi\u0105 abiej\u0173 \u012frengini\u0173 ap\u017evalg\u0105 atliekant vieno branduolio ir keli\u0173 branduoli\u0173 testus. \u201e IPhone 16\u201c<\/strong> , maitinamas A18 SoC, vieno branduolio teste pasiekia \u012fsp\u016bding\u0105 3053 bal\u0105, aplenkdamas \u201eGalaxy S24\u201c \u201eExynos 2400\u201c ma\u017edaug 50%. Skirtumas did\u0117ja atliekant keli\u0173 branduoli\u0173 test\u0105, kai \u201eiPhone\u201c balas yra 7601, ma\u017edaug 26 % didesnis nei \u201eGalaxy S24\u201c 6018. \u012edomu tai, kad nepaisant 4 papildom\u0173 branduoli\u0173, \u201eExynos 2400\u201c vis tiek atsilieka nuo A18.<\/p>\n\n\n\n\n\n\n
Geekbench 6 CPU<\/th>\niPhone 16<\/th>\nSamsung S24<\/th>\n<\/tr>\n<\/thead>\n
Vieno branduolio<\/strong><\/td>\n3053<\/td>\n2036 m<\/td>\n<\/tr>\n
Daugiagyslis<\/strong><\/td>\n7601<\/td>\n6018<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\"Geekbench<\/figure>\n
\"\u201eGeekbench<\/figure>\n

AnTuTu lyginamoji ap\u017evalga<\/span><\/h2>\n

\u201eAnTuTu\u201c etalonas \u012fvertina bendr\u0105 sistemos na\u0161um\u0105, o \u201eiPhone 16\u201c<\/strong> pirmauja ma\u017edaug 5%, palyginti su \u201eGalaxy S24\u201c. Nors skirtumas gali atrodyti nedidelis, \u201eiPhone\u201c A18 mikroschem\u0173 rinkinys pasi\u017eymi 24% didesniu procesoriaus na\u0161umu ir UX, kur jis turi 32% prana\u0161um\u0105.<\/p>\n

Ir atvirk\u0161\u010diai, \u201eGalaxy S24\u201c GPU na\u0161umu pasi\u017eymi ma\u017edaug 4%, o atminties na\u0161umu jis pirmauja \u012fsp\u016bdingais 43%. Yra \u017einoma, kad \u201eSamsung\u201c naudoja LPDDR5X atmint\u012f, o manoma, kad \u201eiPhone\u201c naudoja LPDDR5 atmint\u012f, o tai gali tur\u0117ti \u012ftakos jo ma\u017eesniam balui, nors tai nepatvirtinta.<\/p>\n

Atsakomyb\u0117s apribojimas: <\/strong> \u201eAnTuTu\u201c balai, skirti \u201eiOS\u201c ir \u201eAndroid\u201c,<\/a> gali b\u016bti tiesiogiai nepalyginami d\u0117l skirting\u0173 sistemos architekt\u016br\u0173, API ir testavimo metodik\u0173. Tod\u0117l \u0161iuos rezultatus reikia interpretuoti atsargiai.<\/p>\n\n\n\n\n\n\n\n\n\n
AnTuTu testas<\/th>\niPhone 16<\/th>\nSamsung S24<\/th>\n<\/tr>\n<\/thead>\n
Apskritai<\/strong><\/td>\n1443691<\/td>\n1375770<\/td>\n<\/tr>\n
CPU<\/strong><\/td>\n418631<\/td>\n338635<\/td>\n<\/tr>\n
GPU<\/strong><\/td>\n499599<\/td>\n519711<\/td>\n<\/tr>\n
Atmintis<\/strong><\/td>\n175395<\/td>\n251274<\/td>\n<\/tr>\n
UX<\/strong><\/td>\n350066<\/td>\n266150<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\"\u201eAnTuTu<\/figure>\n
\"\u201eAnTuTu<\/figure>\n

Geekbench 6 GPU na\u0161umas<\/span><\/h2>\n

Naujausiame Geekbench 6.3 GPU teste A18 mikroschem\u0173 rinkinys surinko 27 914 bal\u0173, o tai \u017eymiai lenkia Exynos 2400 15 912 bal\u0173. Tai rei\u0161kia, kad \u201eiPhone 16\u201c, palyginti su \u201eGalaxy S24\u201c, 75 % geresnis GPU na\u0161umas.<\/p>\n

D\u0117l to \u201eiPhone 16\u201c<\/strong> gali atlikti daug grafikos reikalaujan\u010dias u\u017eduotis, tokias kaip \u017eaidimai, vaizdo redagavimas ir papildytos realyb\u0117s programos, kuriose GPU na\u0161umas yra labai svarbus. \u0160is rezultatas prie\u0161tarauja GPU balui i\u0161 AnTuTu etalono, kur Samsung S24 pranoko iPhone.<\/p>\n\n\n\n\n\n\n
Telefonas<\/th>\nGeekbench 6 GPU<\/th>\n<\/tr>\n<\/thead>\n
iPhone 16<\/strong><\/td>\n27914<\/td>\n<\/tr>\n
Samsung S24<\/strong><\/td>\n15912 m<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\"Geekbench<\/figure>\n
\"Geekbench<\/figure>\n

3DMark WildLife Extreme testo rezultatai<\/span><\/h2>\n

Atliekant 3DMark WildLife Extreme test\u0105<\/strong> , iPhone 16 bendras balas yra 3810, o Galaxy S24 \u2013 3537. Tai rodo 7,7 % didesn\u012f A18 bal\u0105, o tai rodo \u0161iek tiek prana\u0161esn\u012f na\u0161um\u0105 didel\u0117s paklausos, daug grafikos procesoriaus reikalaujan\u010diose programose. Kalbant apie vidutin\u012f kadr\u0173 da\u017en\u012f, abu \u012frenginiai turi minimalius skirtumus.<\/p>\n\n\n\n\n\n\n
3D \u017eym\u0117jimo testas<\/th>\niPhone 16<\/th>\nSamsung S24<\/th>\n<\/tr>\n<\/thead>\n
Bendras rezultatas<\/strong><\/td>\n3810<\/td>\n3537<\/td>\n<\/tr>\n
Vidutinis kadr\u0173 da\u017enis<\/strong><\/td>\n22,8 FPS<\/td>\n21.18 FPS<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\"3D<\/figure>\n
\"3D<\/figure>\n

AI etalonas: Geekbench AI rezultatai<\/span><\/h2>\n

Atliekant \u012f dirbtin\u012f intelekt\u0105 orientuotas u\u017eduotis, \u201e iPhone 16\u201c<\/strong> pasi\u017eymi puikiu na\u0161umu ir gerokai lenkia \u201eGalaxy S24\u201c visose i\u0161matuotose srityse, ypa\u010d pagal NPU balus. Nepriklausomai nuo to, ar vertinamas vieno, pus\u0117s ar kiekybinis tikslumas, A18 NPU demonstruoja ai\u0161k\u0173 prana\u0161um\u0105. Atminkite, kad abiejuose \u012frenginiuose naudojamos skirtingos AI efektyvumo tikrinimo sistemos, tod\u0117l \u012f \u0161ias i\u0161vadas \u017ei\u016br\u0117kite atsargiai.<\/p>\n

Kasdien\u0117se programose abu i\u0161manieji telefonai \u012f AI funkcijas reaguoja skland\u017eiai be jokio pastebimo v\u0117lavimo.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Geekbench AI<\/th>\niPhone 16<\/th>\nSamsung S24<\/th>\n<\/tr>\n<\/thead>\n
Vienas tikslumo balas<\/strong><\/td>\nCPU<\/td>\n4182<\/td>\n2067 m<\/td>\n<\/tr>\n
<\/td>\nGPU<\/td>\n3855<\/td>\n1456 m<\/td>\n<\/tr>\n
<\/td>\nNPU<\/td>\n4179<\/td>\n278<\/td>\n<\/tr>\n
Pus\u0117s tikslumo balas<\/strong><\/td>\nCPU<\/td>\n7206<\/td>\n2079 m<\/td>\n<\/tr>\n
<\/td>\nGPU<\/td>\n4336<\/td>\n1528 m<\/td>\n<\/tr>\n
<\/td>\nNPU<\/td>\n32374<\/td>\n295<\/td>\n<\/tr>\n
Kvantuotas balas<\/strong><\/td>\nCPU<\/td>\n5738<\/td>\n2994 m<\/td>\n<\/tr>\n
<\/td>\nGPU<\/td>\n4150<\/td>\n1477 m<\/td>\n<\/tr>\n
<\/td>\nNPU<\/td>\n44309<\/td>\n863<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\"Geekbench<\/figure>\n
\"Geekbench<\/figure>\n
\"Geekbench<\/figure>\n
\"Geekbench<\/figure>\n
\"Geekbench<\/figure>\n
\"Geekbench<\/figure>\n

I\u0161vada: kuris telefonas yra geriausias?<\/span><\/h2>\n

I\u0161nagrin\u0117jus etaloninius rezultatus, akivaizdu, kad A18 mikroschem\u0173 rinkinys daugumoje na\u0161umo rodikli\u0173 ai\u0161kiai lenkia \u201eExynos 2400\u201c procesori\u0173. Su stipriais procesoriaus ir GPU \u012fvertinimais iPhone 16 puikiai tinka \u012fvairioms u\u017eduotims atlikti nuo \u017eaidim\u0173 iki daugialyp\u0117s terp\u0117s turinio k\u016brimo. Be to, jo AI apdorojimo galimyb\u0117s suteikia ai\u0161k\u0173 prana\u0161um\u0105 tiems, kurie daugiausia d\u0117mesio skiria efektyvumui ir na\u0161umui.<\/p>\n

Nors \u201eGalaxy S24\u201c i\u0161siskiria puikiu atminties na\u0161umu, jo apdorojimo galia yra ma\u017eesn\u0117 nei \u201eiPhone 16\u201c. Jei j\u016bs\u0173 prioritetas yra auk\u0161\u010diausio lygio na\u0161umas ir grafika, rekomenduojamas \u201eiPhone 16\u201c pasirinkimas. Ta\u010diau jei RAM ir specifini\u0173 funkcij\u0173 rinkiniai jums yra svarbesni, \u201eGalaxy S24\u201c i\u0161lieka stipriu var\u017eovu.<\/p>\n

Galiausiai abu \u012frenginiai pasi\u017eymi \u012fsp\u016bdingu na\u0161umu, tod\u0117l pasirinkimas priklauso nuo individuali\u0173 pageidavim\u0173 ir prioritet\u0173. Negalite suklysti su n\u0117 vienu flagmanu!<\/p>\n

\u0160altinis<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\u201e IPhone 16\u201c oficialiai pristatytas, o mes jau atlikome etaloninius bandymus, lygindami A18 ir A18 Pro mikroschem\u0173 rinkinius. Dabar palyginsime \u201eiPhone 16\u201c ir \u201eSamsung Galaxy S24\u201c . Abu i\u0161manieji telefonai turi auk\u0161\u010diausios klas\u0117s aparatin\u0119 \u012frang\u0105 ir pa\u017eangias AI galimybes. Panagrin\u0117kime etaloninius rezultatus ir palyginkime du \u012frenginius pagal svarbiausius na\u0161umo rodiklius: centrin\u012f procesori\u0173, GPU, atmint\u012f ir […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[12,104,279,575],"class_list":["post-4108","post","type-post","status-publish","format-standard","hentry","category-how-to","tag-android","tag-comparison","tag-iphone-16","tag-samsung-galaxy-s24"],"acf":[],"_links":{"self":[{"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/posts\/4108","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/comments?post=4108"}],"version-history":[{"count":1,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/posts\/4108\/revisions"}],"predecessor-version":[{"id":4109,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/posts\/4108\/revisions\/4109"}],"wp:attachment":[{"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/media?parent=4108"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/categories?post=4108"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/howtogeek.blog\/lt\/wp-json\/wp\/v2\/tags?post=4108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}