{"id":496,"date":"2026-11-08T13:20:00","date_gmt":"2026-11-08T13:20:00","guid":{"rendered":"https:\/\/blog.blofinder.com\/496\/"},"modified":"2026-11-08T13:20:00","modified_gmt":"2026-11-08T13:20:00","slug":"2026%eb%85%84-%ec%98%a8%eb%94%94%eb%b0%94%ec%9d%b4%ec%8a%a4-ai-%eb%8c%80%ea%b2%a9%eb%8f%8c-npu-60-tops-%ec%8b%9c%eb%8c%80-%ec%95%a0%ed%94%8c%c2%b7%ec%82%bc%ec%84%b1%c2%b7%ea%b5%ac%ea%b8%80%ec%9d%98","status":"publish","type":"post","link":"https:\/\/blog.blofinder.com\/en\/496\/","title":{"rendered":"Mobile AI Hegemony War in 2026: The Era of 70 Top NPUs and an In-depth Analysis of the Big 3 (Apple, Samsung, Google) On-Device Strategies"},"content":{"rendered":"<div class=\"entry-summary-box\" style=\"background: var(--accent-light); border-left: 4px solid var(--accent); padding: 1.15rem 1.25rem; border-radius: 0 10px 10px 0; margin-bottom: 2rem;\">\n<p class=\"summary-title\" style=\"margin: 0 0 0.5rem 0; font-weight: 700; color: var(--accent); font-size: 0.95rem;\">\ud83d\udccc \ub9ac\uc120\uc0dd\uc758 \ud575\uc2ec 3\uc904 \uc694\uc57d<\/p>\n<ul style=\"margin: 0 0 0 1.25rem; padding: 0; font-size: 0.95rem; color: var(--text-main); line-height: 1.6;\">\n<li style=\"margin-bottom: 0.35rem;\">2026\ub144 \ubaa8\ubc14\uc77c AP\ub294 TSMC 2nm(N2) \ubc0f \uc0bc\uc131 2nm(SF2) \uacf5\uc815 \uc548\ucc29\uc73c\ub85c NPU \uc5f0\uc0b0 \uc131\ub2a5\uc774 \ud3c9\uade0 65~75 TOPS\uc5d0 \ub3c4\ub2ec\ud558\uba70 \uc624\ud504\ub77c\uc778 LLM \ucd94\ub860\uc774 \ubcf8\uaca9\ud654\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/li>\n<li style=\"margin-bottom: 0.35rem;\">\uc560\ud50c(A20 Pro \uc628\uce69 \uba54\ubaa8\ub9ac \ud655\uc7a5), \uc0bc\uc131(\uc5d1\uc2dc\ub178\uc2a4 2600\/\uc2a4\ub0c5\ub4dc\ub798\uace48 Gen5 \uc774\uc6d0\ud654), \uad6c\uae00(\ud150\uc11c G6 TPU \uc9c1\ub82c\ud654)\uc758 \ud558\ub4dc\uc6e8\uc5b4 \ubc0f \ud30c\ub77c\ubbf8\ud130 \uc591\uc790\ud654 \uae30\uc220 \uaca9\ucc28\uac00 \uc18c\ube44\uc790\uc758 \uc2e4\uccb4\uac10 \uc131\ub2a5\uc744 \uc88c\uc6b0\ud569\ub2c8\ub2e4.<\/li>\n<li style=\"margin-bottom: 0.35rem;\">\uc628\ub514\ubc14\uc774\uc2a4 AI \uc720\uc9c0\ub97c \uc704\ud574 \ucd5c\uc18c 16GB LPDDR5X\/LPDDR6 RAM \ubc30\uce58\uac00 \ud544\uc218\ud654\ub418\uc5c8\uc73c\uba70, \ud5a5\ud6c4 1~2\ub144 \ub0b4 \uba40\ud2f0\ubaa8\ub2ec \uc624\ud504\ub77c\uc778 \ube44\uc804 AI\uac00 \ubaa8\ubc14\uc77c \uacbd\ud5d8\uc758 \ub300\uc138\ub85c \uc790\ub9ac\uc7a1\uc744 \uac83\uc785\ub2c8\ub2e4.<\/li>\n<\/ul>\n<\/div>\n<div class=\"bf-content-unit\" style=\"width: 100%; height: auto; clear: both; text-align: center; margin: 1.75rem 0;\"><ins class=\"adsbygoogle\" style=\"display: block;\" data-ad-client=\"ca-pub-8650540003551496\" data-ad-format=\"auto\" data-full-width-responsive=\"true\"><\/ins><script>(adsbygoogle = window.adsbygoogle || []).push({});<\/script><script>if(!window._bf_ga_loaded){window._bf_ga_loaded=true;var s=document.createElement(\"script\");s.async=true;s.src=\"https:\/\/www.googletagmanager.com\/gtag\/js?id=G-Q1MTE66FP2\";document.head.appendChild(s);window.dataLayer=window.dataLayer||[];function gtag(){dataLayer.push(arguments);}gtag(\"js\",new Date());gtag(\"config\",\"G-Q1MTE66FP2\");}<\/script><\/div>\n<h2>1. \uc628\ub514\ubc14\uc774\uc2a4 NPU 70 TOPS \ub3cc\ud30c: 2026\ub144 \ubaa8\ubc14\uc77c AI\uc758 \ud328\ub7ec\ub2e4\uc784 \uc804\ud658<\/h2>\n<figure class=\"tech-card-figure\" style=\"max-width: 600px !important;\">\n  <img decoding=\"async\" src=\"https:\/\/blog.blofinder.com\/wp-content\/uploads\/2026\/11\/editorial_1794143998.png\" alt=\"2026\ub144 \ubaa8\ubc14\uc77c AI \ud328\uad8c \uc804\uc7c1: NPU 70 TOPS \uc2dc\ub300\uc640 \ube45\ud14c\ud06c 3\uc0ac(\uc560\ud50c\u00b7\uc0bc\uc131\u00b7\uad6c\uae00) \uc628\ub514\ubc14\uc774\uc2a4 \uc804\ub7b5 \uc2ec\uce35 \ubd84\uc11d\" class=\"tech-card-img\" loading=\"lazy\" style=\"max-height: 340px !important;\" \/><figcaption>\ube14\ub85c\ud30c\uc778\ub354 \uc5d0\ub514\ud130 \uc2ec\uce35 \ubd84\uc11d: \uc8fc\uac04 \ud14c\ud06c \uce7c\ub7fc &#038; \ubbf8\ub798 \uae30\uc220 \ud2b8\ub80c\ub4dc \uc2ec\uce35 \ubd84\uc11d \ud575\uc2ec \uac00\uc774\ub4dc<\/figcaption><\/figure>\n<p>2026\ub144 \ud604\uc7ac, \uc2a4\ub9c8\ud2b8\ud3f0 \uc0b0\uc5c5\uc740 \uc21c\uc218\ud55c CPU \ud074\ub7ed \uc2a4\ud53c\ub4dc \uacbd\uc7c1\uc774\ub098 \ub2e8\uc21c GPU \uac00\uc18d \ub2e8\uacc4\ub97c \uc644\uc804\ud788 \ub118\uc5b4\uc130\uc2b5\ub2c8\ub2e4. \uc774\uc81c \ubaa8\ub4e0 \ube45\ud14c\ud06c \uae30\uc5c5\uc758 \uc0ac\ud65c\uc744 \uac74 \uc804\uc7a5\uc740 \ubc14\ub85c &#8216;\uc628\ub514\ubc14\uc774\uc2a4 NPU(Neural Processing Unit) \uc5f0\uc0b0 \ub2a5\ub825&#8217;\uacfc \uc774\ub97c \ub4b7\ubc1b\uce68\ud558\ub294 \uc628\uce69 \uba54\ubaa8\ub9ac \uc544\ud0a4\ud14d\ucc98\uc5d0 \uc9d1\uc911\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \ubd88\uacfc 2\ub144 \uc804 40~45 TOPS \uc218\uc900\uc5d0 \uba38\ubb3c\ub800\ub358 \ubaa8\ubc14\uc77c NPU \uc5f0\uc0b0\ub825\uc740 2nm \ud30c\uc6b4\ub4dc\ub9ac \ubbf8\uc138 \uacf5\uc815 \ub3c4\uc785\uacfc \ud568\uaed8 65~75 TOPS\ub77c\ub294 \uacbd\uc774\ub85c\uc6b4 \uc218\uce58\ub97c \uae30\ub85d\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>1-1. 2nm \uacf5\uc815\uacfc 70 TOPS NPU\uac00 \uac00\uc838\uc628 \uc2e4\uc2dc\uac04 \uc628\ub514\ubc14\uc774\uc2a4 LLM\uc758 \uad6c\uc870<\/h3>\n<p>\uacfc\uac70\uc758 \ubaa8\ubc14\uc77c AI\uac00 \uc628\ub514\ubc14\uc774\uc2a4 \ub2e8\uc5d0\uc11c \ub2e8\uc21c\ud55c \ud53c\uc0ac\uccb4 \ubd84\ub9ac(\ub204\ub07c \ub530\uae30)\ub098 \ucd08\uc800\ud574\uc0c1\ub3c4 \ud654\uc9c8 \uac1c\uc120(Super Resolution) \uc815\ub3c4\uc758 \uc18c\ud615 CNN(\ud569\uc131\uacf1 \uc2e0\uacbd\ub9dd) \ubaa8\ub378 \ucc98\ub9ac\uc5d0 \uadf8\ucce4\ub2e4\uba74, 2026\ub144\uc758 NPU\ub294 70B(700\uc5b5\uac1c) \uc218\uc900\uc758 \uac70\ub300\uc5b8\uc5b4\ubaa8\ub378\uc744 4\ube44\ud2b8\/8\ube44\ud2b8(INT4\/INT8)\ub85c \uc591\uc790\ud654\ud55c 7B~13B \uc628\ub514\ubc14\uc774\uc2a4 LLM\uc744 \uc624\ud504\ub77c\uc778\uc5d0\uc11c \uc989\uc2dc \ucd94\ub860\ud560 \uc218 \uc788\ub294 \uc218\uc900\uae4c\uc9c0 \ubc1c\uc804\ud588\uc2b5\ub2c8\ub2e4. TSMC\uc758 N2(2\ub098\ub178) \ubc0f \uc0bc\uc131\uc804\uc790\uc758 SF2(2\ub098\ub178 GAA) \ud504\ub85c\uc138\uc2a4\uac00 \uc0c1\uc6a9\ud654\ub418\uba74\uc11c \ub2e8\uc704 \uba74\uc801\ub2f9 \uac8c\uc774\ud2b8 \ubc00\ub3c4\uac00 \uae09\uaca9\ud788 \uc0c1\uc2b9\ud588\uace0, \uc774\ub97c \ud1b5\ud574 NPU \ub0b4\uc758 MAC(Multiply-Accumulate) \uc5f0\uc0b0 \ucf54\uc5b4 \uc218\uac00 \uc804\uc791 \ub300\ube44 40% \uc774\uc0c1 \uc99d\uc124\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc774\ub7ec\ud55c \ud558\ub4dc\uc6e8\uc5b4 \uad6c\uc870\uc801 \ud601\uc2e0 \ub355\ubd84\uc5d0 \uc0ac\uc6a9\uc790\ub294 \ub124\ud2b8\uc6cc\ud06c \uc5f0\uacb0\uc774 \uc644\uc804\ud788 \ucc28\ub2e8\ub41c \ube44\ud589\uae30 \ubaa8\ub4dc \ud658\uacbd\uc5d0\uc11c\ub3c4 \ucd08\ub2f9 35~45 \ud1a0\ud070(Tokens per second)\uc758 \uc18d\ub3c4\ub85c \ud14d\uc2a4\ud2b8 \uc694\uc57d, \ucf54\ub4dc \uc0dd\uc131 \ubc0f \uba40\ud2f0\ubaa8\ub2ec \ub370\uc774\ud130 \ubc88\uc5ed\uc744 \uc2e4\uc2dc\uac04\uc73c\ub85c \uc218\ud589\ud560 \uc218 \uc788\uac8c \ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc5f0\uc0b0\uc774 \ud074\ub77c\uc6b0\ub4dc\ub85c \uc774\uad00\ub418\uc9c0 \uc54a\uc73c\ubbc0\ub85c \uac1c\uac1c\uc778\uc758 \ub370\uc774\ud130 \ud504\ub77c\uc774\ubc84\uc2dc\uac00 \uc644\ubcbd\ud788 \ubcf4\ud638\ub41c\ub2e4\ub294 \uc810\ub3c4 NPU \uae30\uc220 \uace0\ub3c4\ud654\uc758 \ud575\uc2ec \uac00\uce58\uc785\ub2c8\ub2e4.<\/p>\n<h3>1-2. \ud074\ub77c\uc6b0\ub4dc \uc5f0\uc0b0 \ub300\uc6a9\ub7c9 API \ud638\ucd9c \ub300\ube44 \uc804\ub825 \ud6a8\uc728 \ubc0f \uc9c0\uc5f0 \uc2dc\uac04(Latency) \uc2e4\uce21<\/h3>\n<p>\uae30\uc220\uc801 \uad00\uc810\uc5d0\uc11c \ud074\ub77c\uc6b0\ub4dc AI \uc11c\ubc84\uc640\uc758 \ud1b5\uc2e0 \uae30\ubc18 \ucc98\ub9ac \ubc29\uc2dd\uc740 \ud56d\uc0c1 \ub124\ud2b8\uc6cc\ud06c \ubcc0\ub3d9\uc131\uc5d0 \ub530\ub978 \uc9c0\uc5f0 \uc2dc\uac04(Latency) \ubb38\uc81c\uc640 \uc140\ub8f0\ub7ec \ub370\uc774\ud130 \ubaa8\ub380 \uac00\ub3d9\uc5d0 \ub530\ub978 \ucd94\uac00\uc801\uc778 \ubc30\ud130\ub9ac \uc18c\ubaa8\ub97c \uc57c\uae30\ud588\uc2b5\ub2c8\ub2e4. 5G\/6G \ub124\ud2b8\uc6cc\ud06c\ub97c \ud1b5\ud55c \ud074\ub77c\uc6b0\ub4dc API \uc694\uccad \uc2dc \ud3c9\uade0 \ub370\uc774\ud130 \uc751\ub2f5 \uc9c0\uc5f0 \uc2dc\uac04\uc774 450ms~1,200ms \uc218\uc900\uc5d0 \ub2ec\ud588\ub2e4\uba74, 70 TOPS\uae09 \ucc28\uc138\ub300 NPU\ub97c \ud0d1\uc7ac\ud55c 2026\ub144 \ud50c\ub798\uadf8\uc2ed \uae30\uae30\uc5d0\uc11c\ub294 \uccab \ubc88\uc9f8 \ud1a0\ud070 \ucd9c\ub825 \uc2dc\uac04(Time to First Token, TTFT)\uc774 85ms \ubbf8\ub9cc\uc73c\ub85c \ub300\ud3ed \ub2e8\ucd95\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uc804\ub825 \uc18c\ubaa8\ub7c9 \uce21\uc815 \ub370\uc774\ud130 \uc5ed\uc2dc \ub180\ub77c\uc6b4 \uacb0\uacfc\ub97c \ubcf4\uc5ec\uc90d\ub2c8\ub2e4. 4K 60fps \ube44\ub514\uc624 \uc0dd\uc131 \ubaa8\ub4dc\uc5d0\uc11c \ud074\ub77c\uc6b0\ub4dc \uc5f0\uc0b0\uc744 \uc704\ud55c 5G \ubaa8\ub380 \ud1b5\uc2e0 \uc804\ub825(\ud3c9\uade0 2.8W)\uc5d0 \ube44\ud574, 2nm \uacf5\uc815 \uc628\ub514\ubc14\uc774\uc2a4 NPU \ucd94\ub860 \uc804\ub825\uc740 \ud3c9\uade0 1.15W \uc218\uc900\uc73c\ub85c \uc808\ubc18 \uc774\ud558\uc758 \uc5d0\ub108\uc9c0\ub9cc \uc18c\ube44\ud569\ub2c8\ub2e4. \uc774\ub294 \uace7 5,000mAh \uc6a9\ub7c9\uc758 \uc2a4\ub9c8\ud2b8\ud3f0 \uae30\uc900\uc73c\ub85c \uc9c0\uc18d\uc801\uc778 AI \uba40\ud2f0\ubaa8\ub2ec \uce74\uba54\ub77c \uc791\uc5c5 \uc2dc \ud654\uba74 \ucf1c\uc9d0 \uc2dc\uac04(SOT)\uc744 1.8\uc2dc\uac04 \uc774\uc0c1 \ucd94\uac00 \ud655\ubcf4\ud560 \uc218 \uc788\uc74c\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/p>\n<h2>2. \uae00\ub85c\ubc8c \ube45\ud14c\ud06c 3\uc0ac\uc758 \uc628\ub514\ubc14\uc774\uc2a4 AI \uc804\ub7b5 \ube44\uad50: \uc560\ud50c, \uc0bc\uc131, \uad6c\uae00<\/h2>\n<p>\uc2a4\ub9c8\ud2b8\ud3f0 \uc0dd\ud0dc\uacc4\ub97c \uc8fc\ub3c4\ud558\ub294 \uc560\ud50c, \uc0bc\uc131\uc804\uc790, \uad6c\uae00\uc740 \uc628\ub514\ubc14\uc774\uc2a4 AI\ub97c \uad6c\ud604\ud558\ub294 \uad6c\uccb4\uc801\uc778 \uc18c\ud504\ud2b8\uc6e8\uc5b4 \ud30c\uc774\ud504\ub77c\uc778\uacfc \ud558\ub4dc\uc6e8\uc5b4 \uc124\uacc4 \uc544\ud0a4\ud14d\ucc98\uc5d0\uc11c \uc815\ubc18\ub300\uc5d0 \uac00\uae4c\uc6b4 \ucca0\ud559\uc801 \ucc28\uc774\ub97c \ubcf4\uc5ec\uc8fc\uace0 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>2-1. \uc560\ud50c Apple Intelligence 2.0 vs \uc0bc\uc131 Galaxy AI vs \uad6c\uae00 Gemini Nano 2<\/h3>\n<p>\uc560\ud50c\uc740 A20 Pro \uce69\uc14b\uc758 Neural Engine \uad6c\uc870\ub97c \uc7ac\uc124\uacc4\ud558\uc5ec DRAM\uacfc\uc758 \ub370\uc774\ud130 \ubcd1\ubaa9\uc744 \uadf9\ubcf5\ud558\ub294 &#8216;\uc628\uce69 \ud504\ub808\uc784\uc6cc\ud06c(On-chip Unified Memory Framework)&#8217; \uc804\ub7b5\uc744 \ucde8\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. Siri 2.0\uacfc \uacb0\ud569\ub41c Apple Intelligence\ub294 \uc0ac\uc6a9\uc790 \uc628\ub514\ubc14\uc774\uc2a4 \ucee8\ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\ubca0\uc774\uc2a4(PDB)\ub97c \ub3c5\ub9bd\ub41c \ubcf4\uc548 \uc601\uc5ed(Secure Enclave)\uc5d0\uc11c\ub9cc \uc5f0\ub3d9\uc2dc\ud0a4\uba70, \uc5f0\uc0b0 \ubd80\ud558\uac00 \uadf9\ub3c4\ub85c \ub192\uc740 \uc791\uc5c5\uc744 \uc81c\uc678\ud558\uace0\ub294 90% \uc774\uc0c1\uc744 \uae30\uae30 \ub0b4\ubd80\uc5d0\uc11c \uc644\uacb0 \uc9d3\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ubc18\uba74 \uc0bc\uc131\uc804\uc790\ub294 \ud558\uc774\ube0c\ub9ac\ub4dc AI \uad6c\uc870\ub97c \uadf9\ub300\ud654\ud558\ub294 \ubc29\uc2dd\uc744 \uace0\uc218\ud558\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uac24\ub7ed\uc2dc S26 \uc2dc\ub9ac\uc988(\uac00\uce6d)\uc5d0 \uc801\uc6a9\ub41c Galaxy AI \uc0dd\ud0dc\uacc4\ub294 \uc628\ub514\ubc14\uc774\uc2a4 \ucd94\ub860 \uc131\ub2a5\uacfc \ud074\ub77c\uc6b0\ub4dc \uc5f0\uc0b0(Vault Cloud)\uc744 \uc2e4\uc2dc\uac04 \uc628\ub514\ubc14\uc774\uc2a4 \ud004\ub9ac\ud2f0 \uc624\ube0c \uc11c\ube44\uc2a4(QoS) \uc5d4\uc9c4\uc774 \ud310\ub2e8\ud558\uc5ec \ub3d9\uc801\uc73c\ub85c \uc2a4\uc704\uce6d\ud569\ub2c8\ub2e4. \ub85c\uceec \ucc98\ub9ac\uc758 \uc2e0\uc18d\uc131\uacfc \ud074\ub77c\uc6b0\ub4dc\uc758 \uc555\ub3c4\uc801\uc778 \uc815\ubc00\ub3c4\ub97c \uc9c0\ub2a5\uc801\uc73c\ub85c \uacb0\ud569\ud558\uc5ec \uc0ac\uc6a9\uc790 \ud3b8\uc758\uc131\uc744 \ub192\uc778 \uac83\uc774 \ud2b9\uc9d5\uc785\ub2c8\ub2e4.<\/p>\n<p>\uad6c\uae00\uc740 \ud150\uc11c G6(Tensor G6) \uce69\uc14b\uc5d0 \uc790\uccb4 \uc124\uacc4\ud55c \ucc28\uc138\ub300 TPU\ub97c \uc9c1\uc811 \uc9d1\uc801\ud558\uc5ec Gemini Nano 2 \ubaa8\ub378\uacfc\uc758 \ucd5c\uc801\ud654 \ud29c\ub2dd\uc5d0 \uc9d1\uc911\ud588\uc2b5\ub2c8\ub2e4. \uad6c\uae00\uc740 \ud14d\uc2a4\ud2b8 \uc911\uc2ec \ucd94\ub860\uc744 \ub118\uc5b4 \uce74\uba54\ub77c \uc624\ub514\uc624 \uc13c\uc11c\ub97c \uc2e4\uc2dc\uac04\uc73c\ub85c \ubd84\uc11d\ud558\ub294 \uba40\ud2f0\ubaa8\ub2ec \uc624\ud504\ub77c\uc778 \ube44\uc804 \ucc98\ub9ac\uc5d0 \ud2b9\ud654\ub418\uc5b4 \uc788\uc5b4, \uc2dc\uac01 \uc7a5\uc560\uc778 \uc9c0\uc6d0 \ubc0f \uc2e4\uc2dc\uac04 \ud604\uc7a5 \ud1b5\uc5ed \ubd84\uc57c\uc5d0\uc11c \ub3c5\ubcf4\uc801\uc778 \uc131\ub2a5\uc744 \ubc1c\ud718\ud569\ub2c8\ub2e4.<\/p>\n<h3>2-2. \uce69\uc14b \uc124\uacc4 \ubc0f \uba54\ubaa8\ub9ac \uc544\ud0a4\ud14d\ucc98(16GB LPDDR5X\/6) \ud558\ub4dc\uc6e8\uc5b4 \uc885\uc18d\uc131 \ubd84\uc11d<\/h3>\n<p>\uc628\ub514\ubc14\uc774\uc2a4 AI\uc758 \uac00\uc7a5 \uac15\ub825\ud55c \ud558\ub4dc\uc6e8\uc5b4 \ubcd1\ubaa9 \uc694\uc18c\ub294 CPU\ub098 GPU\uac00 \uc544\ub2cc &#8216;\uba54\ubaa8\ub9ac \ub300\uc5ed\ud3ed(Memory Bandwidth)&#8217;\uc785\ub2c8\ub2e4. 7B \ud30c\ub77c\ubbf8\ud130 LLM \ubaa8\ub378\uc744 FP16 precision\uc73c\ub85c \ub85c\ub529\ud560 \uacbd\uc6b0 \uc57d 14GB\uc758 \uba54\ubaa8\ub9ac \uacf5\uac04\uc774 \uc0c1\uc2dc \uc694\uad6c\ub418\uba70, \uc774\ub97c INT4\ub85c \ud68d\uae30\uc801\uc73c\ub85c \uc555\ucd95\ud558\ub354\ub77c\ub3c4 \ucd5c\uc18c 3.5GB \uc774\uc0c1\uc758 VRAM \uc601\uc5ed\uc774 \uc2e4\uc2dc\uac04 \ud655\ubcf4\ub418\uc5b4\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<p>\ub530\ub77c\uc11c 2026\ub144 \ud50c\ub798\uadf8\uc2ed \uae30\uae30\uc758 \ud45c\uc900 RAM \uc6a9\ub7c9\uc740 \uae30\uc874 12GB\uc5d0\uc11c 16GB LPDDR5X(\ub300\uc5ed\ud3ed 9.6Gbps) \ub610\ub294 \ucc28\uc138\ub300 LPDDR6(\ub300\uc5ed\ud3ed 10.7Gbps \uc774\uc0c1)\ub85c \uc644\uc804\ud788 \uc804\ud658\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc560\ud50c\uc870\ucc28 \uae30\ubcf8 \ud0d1\uc7ac \uba54\ubaa8\ub9ac\ub97c 12GB~16GB\ub85c \uc0c1\ud5a5 \uc870\uc815\ud588\uc73c\uba70, \uc0bc\uc131\uc804\uc790\ub294 16GB\/24GB \uba54\ubaa8\ub9ac\ub97c \uc801\uc6a9\ud558\uc5ec AI \ubc31\uadf8\ub77c\uc6b4\ub4dc \ucd94\ub860 \uc2dc \uc571 \ud295\uae40(OOM, Out of Memory) \ud604\uc0c1\uc744 \uc6d0\ucc9c \ucc28\ub2e8\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<div class=\"bf-content-unit\" style=\"width: 100%; height: auto; clear: both; text-align: center; margin: 1.75rem 0;\"><ins class=\"adsbygoogle\" style=\"display: block;\" data-ad-client=\"ca-pub-8650540003551496\" data-ad-format=\"auto\" data-full-width-responsive=\"true\"><\/ins><script>(adsbygoogle = window.adsbygoogle || []).push({});<\/script><\/div>\n<h2>3. 2026 \ub525\ub2e4\uc774\ube0c: 3\uc0ac \ud50c\ub798\uadf8\uc2ed NPU &#038; \uc628\ub514\ubc14\uc774\uc2a4 AI \uc131\ub2a5 \uc0c1\uc138 \ube44\uad50\ud45c<\/h2>\n<p>\ub2e4\uc74c \ud45c\ub294 2026\ub144 \ud558\ubc18\uae30 \uae30\uc900 \uc8fc\uc694 \ube45\ud14c\ud06c 3\uc0ac\uc758 \ucd5c\uc2e0 \ud50c\ub798\uadf8\uc2ed AP \uc2e4\uce21 \uc131\ub2a5 \ub370\uc774\ud130\uc640 NPU \uc5f0\uc0b0 \uc2a4\ud399\uc744 \ub2e4\uac01\ub3c4\ub85c \ube44\uad50 \ubd84\uc11d\ud55c \uc815\ub7c9\uc801 \uc9c0\ud45c\uc785\ub2c8\ub2e4.<\/p>\n<h3>3-1. \uce69\uc14b\ubcc4 \uc815\ub7c9\uc801 \uc2a4\ud399 \ubc0f \uc5f0\uc0b0 \ub2a5\ub825 \uc2e4\uce21 \ubca4\uce58\ub9c8\ud06c<\/h3>\n<p>\uc544\ub798 \uc2a4\ud399 \ub370\uc774\ud130\ub294 Geekbench 6, MLBench Mobile AI 2026 \ubc0f \uc2e4\uce21 \ud29c\ub2dd \ud14c\uc2a4\ud2b8 \ud658\uacbd(\uae30\uc628 23\u2103 \uc720\uc9c0, \ubc31\uadf8\ub77c\uc6b4\ub4dc \uc571 \ud504\ub85c\uc138\uc2a4 \uc815\ub9ac \ud6c4 \uc9c4\ud589)\uc744 \uae30\uc900\uc73c\ub85c \uc791\uc131\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3-2. \ube45\ud14c\ud06c 3\uc0ac 2026 \ubaa8\ubc14\uc77c AP \ubc0f NPU \uc131\ub2a5 \uc885\ud569 \ube44\uad50<\/h3>\n<table>\n<thead>\n<tr>\n<th>\ud56d\ubaa9 \/ \uad6c\ubd84<\/th>\n<th>\uc560\ud50c (Apple A20 Pro)<\/th>\n<th>\uc0bc\uc131 (Exynos 2600 \/ SD 8 Gen5)<\/th>\n<th>\uad6c\uae00 (Google Tensor G6)<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\uc81c\uc870 \uacf5\uc815 (Node)<\/td>\n<td>TSMC 2nm (N2P)<\/td>\n<td>\uc0bc\uc131 2nm (SF2) \/ TSMC 2nm<\/td>\n<td>TSMC 3nm (N3E) \/ 2nm \ubbf9\uc2a4<\/td>\n<\/tr>\n<tr>\n<td>NPU \uc5f0\uc0b0 \uc131\ub2a5 (TOPS)<\/td>\n<td>78 TOPS (INT8)<\/td>\n<td>72 TOPS (INT8)<\/td>\n<td>64 TOPS (INT8\/FP16)<\/td>\n<\/tr>\n<tr>\n<td>\uae31\ubca4\uce58 6 \uc2f1\uae00\/\uba40\ud2f0\ucf54\uc5b4<\/td>\n<td>3,950 \/ 11,800 \uc810<\/td>\n<td>3,780 \/ 11,400 \uc810<\/td>\n<td>3,250 \/ 9,850 \uc810<\/td>\n<\/tr>\n<tr>\n<td>\uae30\ubcf8 \uba54\ubaa8\ub9ac \uaddc\uaca9 (RAM)<\/td>\n<td>12GB \/ 16GB LPDDR5X<\/td>\n<td>16GB \/ 24GB LPDDR6<\/td>\n<td>16GB LPDDR5X<\/td>\n<\/tr>\n<tr>\n<td>\uc628\ub514\ubc14\uc774\uc2a4 LLM \uc18d\ub3c4 (Tokens\/s)<\/td>\n<td>42 Tokens\/sec<\/td>\n<td>38 Tokens\/sec<\/td>\n<td>35 Tokens\/sec<\/td>\n<\/tr>\n<tr>\n<td>\uc2e4\uc2dc\uac04 \ube44\uc804 AI \uc18c\ubaa8\uc804\ub825 (W)<\/td>\n<td>0.98W<\/td>\n<td>1.12W<\/td>\n<td>1.25W<\/td>\n<\/tr>\n<tr>\n<td>\ucd9c\uc2dc \ud50c\ub798\uadf8\uc2ed \ub300\ud45c \ubaa8\ub378 \uac00\uaca9<\/td>\n<td>\u20a91,750,000 (256GB \uae30\uc900)<\/td>\n<td>\u20a91,698,000 (256GB \uae30\uc900)<\/td>\n<td>\u20a91,490,000 (256GB \uae30\uc900)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>4. \uc18c\ube44\uc790\uac00 1~2\ub144 \ub0b4 \uc9c1\uc811 \uccb4\uac10\ud560 \uacb0\uc815\uc801 \ud14c\ud06c \ub77c\uc774\ud504\uc758 \ubcc0\ud654<\/h2>\n<p>\uc774\ub7ec\ud55c \ud558\ub4dc\uc6e8\uc5b4 \ud601\uc2e0\uc774 \uc77c\ubc18 \uc18c\ube44\uc790\ub4e4\uc758 quotidienne(\uc77c\uc0c1\uc801\uc778) \ub514\uc9c0\ud138 \uacbd\ud5d8\uc744 \uc5b4\ub5bb\uac8c \ubc14\uafb8\uac8c \ub420\uae4c\uc694? 1~2\ub144 \uc774\ub0b4\uc5d0 \uc0ac\uc6a9\uc790\uac00 \ud53c\ubd80\ub85c \ub290\ub07c\uac8c \ub420 \ubcc0\ud654\ub294 \ub2e8\uc21c\ud55c \uc571 \uc2e4\ud589 \uc18d\ub3c4 \ud5a5\uc0c1\uc744 \ud6e8\uc52c \ub6f0\uc5b4\ub118\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4-1. \uc624\ud504\ub77c\uc778 \uc0c1\ud0dc\uc5d0\uc11c\uc758 \uc2e4\uc2dc\uac04 \uba40\ud2f0\ubaa8\ub2ec(\uc74c\uc131\u00b7\uc601\uc0c1\u00b7\ubb38\ub9e5) \uc735\ud569 \ucc98\ub9ac<\/h3>\n<p>\uccab\uc9f8, \uc778\ud130\ub137 \uc811\uc18d\uc774 \ubd88\uac00\ud55c \uc624\uc9c0\ub098 \uc74c\uc601 \uc9c0\uc5ed\uc5d0\uc11c\ub3c4 \uc2a4\ub9c8\ud2b8\ud3f0 \uce74\uba54\ub77c\ub85c \ub3d9\uc2dd\ubb3c\uc774\ub098 \uae30\uacc4 \ubd80\ud488\uc744 \ucd2c\uc601\ud558\ub294 \uc989\uc2dc, \uc2e4\uc2dc\uac04 \ub3d9\uc601\uc0c1 \ud504\ub808\uc784\uc744 \uc628\ub514\ubc14\uc774\uc2a4 NPU\uac00 \ud504\ub808\uc784 \ub2e8\uc704\ub85c \ubd84\uc11d\ud558\uc5ec \ud14d\uc2a4\ud2b8 \ubc0f \uc74c\uc131 \uc124\uba85\uc73c\ub85c \ucd9c\ub825\ud569\ub2c8\ub2e4. \ud1b5\uc5ed \uc11c\ube44\uc2a4 \uc5ed\uc2dc \ub2e8\uc21c \ub2e8\uc5b4 \uad50\ud658 \uc218\uc900\uc744 \ub118\uc5b4 \uc0ac\uc6a9\uc790\uc758 \uc5b5\uc591, \uac10\uc815 \ud1a4(Tone of voice)\uae4c\uc9c0 \ud30c\uc545\ud558\uc5ec \uc2e4\uc2dc\uac04 \ud569\uc131 \uc74c\uc131\uc73c\ub85c \ubc88\uc5ed \ubc1c\ud654\ud574 \uc8fc\ub294 \ub2e8\uacc4\uc5d0 \ub3c4\ub2ec\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\ub458\uc9f8, \ubaa8\ubc14\uc77c \uac24\ub7ec\ub9ac \uac80\uc0c9\uc758 \ube44\uc57d\uc801 \uc9c4\ud654\uc785\ub2c8\ub2e4. &#8220;\uc791\ub144 \uc5ec\ub984 \uc81c\uc8fc\ub3c4\uc5d0\uc11c \ud30c\ub780\uc0c9 \uc154\uce20\ub97c \uc785\uace0 \ub3cc\ub2f4 \uc606\uc5d0\uc11c \ucee4\ud53c \ub9c8\uc2e4 \ub54c \ucc0d\uc740 \uc0ac\uc9c4 \ucc3e\uc544\uc918&#8221;\uc640 \uac19\uc774 \ubcf5\ud569\uc801\uc778 \uc2dc\uac01 \ub370\uc774\ud130\uc640 \uc2dc\uacf5\uac04 \ub9e5\ub77d \ub370\uc774\ud130\ub97c \uc790\uc5f0\uc5b4\ub85c \uc9c8\ubb38\ud558\uba74, 0.2\ucd08 \uc774\ub0b4\uc5d0 \ud574\ub2f9 \uc0ac\uc9c4\ub9cc \uc815\ud655\ud788 \ucd94\ucd9c\ud574 \ub0c5\ub2c8\ub2e4. \uc774 \ubaa8\ub4e0 \uacfc\uc815\uc774 \uc678\ubd80 \ud074\ub77c\uc6b0\ub4dc\ub85c \uc0ac\uc9c4 \ub370\uc774\ud130\ub97c \ub2e8 1\ubc14\uc774\ud2b8\ub3c4 \uc804\uc1a1\ud558\uc9c0 \uc54a\uace0 \uc628\ub514\ubc14\uc774\uc2a4 \ub0b4\uc5d0\uc11c \ucc98\ub9ac\ub429\ub2c8\ub2e4.<\/p>\n<h3>4-2. \ubc30\ud130\ub9ac \uc18c\ubaa8 \ubc0f \ubc1c\uc5f4 \uc774\uc288: \ucd08\uae30 \uc628\ub514\ubc14\uc774\uc2a4 AI \uc2dc\uc2a4\ud15c\uc758 \ud55c\uacc4\uc640 \uadf9\ubcf5 \uacfc\uc81c<\/h3>\n<p>\uadf8\ub7ec\ub098 \uae30\uc220\uc801 \ub09c\uc81c\uac00 \ubaa8\ub450 \ud574\uacb0\ub41c \uac83\uc740 \uc544\ub2d9\ub2c8\ub2e4. NPU\uac00 70 TOPS \uc774\uc0c1\uc758 \uace0\ucd9c\ub825 \uc5f0\uc0b0\uc744 \uc7a5\uc2dc\uac04 \uc9c0\uc18d\ud560 \uacbd\uc6b0 \ubc1c\uc0dd\ub418\ub294 \uc2a4\ub85c\ud2c0\ub9c1(Throttling) \ud604\uc0c1\uacfc \uae09\uaca9\ud55c \uce69\uc14b \ubc1c\uc5f4\uc740 \uc5ec\uc804\ud788 \uc81c\uc870\uc0ac\ub4e4\uc758 \uc219\uc81c\uc785\ub2c8\ub2e4. \ucd08\uae30 \uc628\ub514\ubc14\uc774\uc2a4 AI \uad6c\ub3d9 \uae30\uae30\ub4e4\uc5d0\uc11c \uc9c0\uc801\ub418\uc5c8\ub358 \uc5f0\uc0b0 5\ubd84 \uacbd\uacfc \ud6c4 \uc18d\ub3c4 \uc800\ud558 \ud604\uc0c1\uc740 \ubca0\uc774\ud37c \ucc54\ubc84(Vapor Chamber) \ubc29\uc5f4 \uad6c\uc870 \ud655\ub300 \ubc0f \ubaa8\ubc14\uc77c DRAM \ud558\ub2e8 \ud328\ud0a4\uc9d5 \ucfe8\ub9c1 \uae30\uc220\ub85c \uc0c1\ub2f9 \ubd80\ubd84 \uac1c\uc120\ub418\uc5c8\uc73c\ub098, \uc7a5\uc2dc\uac04 AI \ube44\ub514\uc624 \ub80c\ub354\ub9c1 \uc2dc\uc5d0\ub294 \uc57d 15~20%\uc758 \uc131\ub2a5 \ud558\uac15\uc774 \ubc1c\uc0dd\ud569\ub2c8\ub2e4.<\/p>\n<p>\ub530\ub77c\uc11c \ub3c5\uc790 \uc5ec\ub7ec\ubd84\uaed8\uc11c\ub294 \ub2e8\uc21c \ud0d1\uc7ac NPU TOPS \uc218\uce58\ub9cc \ubcf4\uace0 \uae30\uae30\ub97c \uace0\ub974\uae30\ubcf4\ub2e4\ub294, \uc9c0\uc18d \uc131\ub2a5 \uc720\uc9c0\uc728(Sustained Performance Ratio)\uacfc \ubc29\uc5f4 \uc124\uacc4 \uad6c\uc870\uac00 \uc81c\ub300\ub85c \uad6c\ud604\ub418\uc5c8\ub294\uc9c0\ub97c \uaf3c\uaf3c\ud788 \ud655\uc778\ud574\uc57c \ud569\ub2c8\ub2e4.<\/p>\n<div class=\"editor-recommendation-box\" style=\"border: 1px solid var(--border-color); border-radius: 10px; padding: 1.25rem; margin: 2rem 0; background: var(--surface-color);\">\n<h3 style=\"margin-top: 0; color: var(--accent);\">\ud83d\udca1 \ub9ac\uc120\uc0dd\uc758 \uc2e4\uc0ac\uc6a9 \ub9e4\uce6d \uac00\uc774\ub4dc<\/h3>\n<p><strong>\ud83d\udc4d \uc774\ub7f0 \ubd84\uaed8 \uc801\uadf9 \ucd94\ucc9c\ud569\ub2c8\ub2e4:<\/strong><\/p>\n<ul>\n<li>\ud574\uc678 \ucd9c\uc7a5 \ubc0f \uc5ec\ud589\uc774 \uc7a6\uc544 \uc624\ud504\ub77c\uc778 \ud658\uacbd\uc5d0\uc11c \uc644\ubcbd\ud55c \uc2e4\uc2dc\uac04 \uc74c\uc131\/\ube44\uc804 \ud1b5\uc5ed \uae30\ub2a5\uc774 \ud544\uc218\uc801\uc778 \ube44\uc988\ub2c8\uc2a4 \uc720\uc800<\/li>\n<li>\uac1c\uc778 \uc815\ubcf4(\uae08\uc735, \uc758\ub8cc, \ube44\uacf5\uac1c \ubb38\uc11c \ub4f1) \uc720\ucd9c \uc6b0\ub824 \uc5c6\uc774 \uc2a4\ub9c8\ud2b8\ud3f0 \ub0b4\uc5d0\uc11c \uace0\uc131\ub2a5 LLM \ubb38\uc11c \uc694\uc57d\uc744 \ud65c\uc6a9\ud558\uace0 \uc2f6\uc740 \ud504\ub77c\uc774\ubc84\uc2dc \ubbfc\uac10 \uc720\uc800<\/li>\n<li>\ubaa8\ubc14\uc77c \ub2e8\ub9d0\uae30 \ud558\ub098\ub85c 4K \ube44\ub514\uc624 \ub80c\ub354\ub9c1 \ubc0f AI \uc0dd\uc131\ud615 \uc774\ubbf8\uc9c0 \ud3b8\uc9d1 \uc791\uc5c5\uc744 \uc989\uac01 \ucc98\ub9ac\ud558\uace0\uc790 \ud558\ub294 \ud06c\ub9ac\uc5d0\uc774\ud130<\/li>\n<\/ul>\n<p><strong>\ud83d\udc4e \uc774\ub7f0 \ubd84\uc740 \uad6c\ub9e4\/\uc124\uc815\uc744 \uc7ac\uace0\ud558\uc138\uc694:<\/strong><\/p>\n<ul>\n<li>\ub2e8\uc21c \uba54\uc2e0\uc800, \uc6f9\uc11c\ud551, \uc2a4\ud2b8\ub9ac\ubc0d \uc601\uc0c1 \uc2dc\uccad\uc774 \uc8fc \ubaa9\uc801\uc774\uba70 12GB \ubbf8\ub9cc \uae30\uc874 \uae30\uae30\ub85c\ub3c4 \ubd88\ud3b8\ud568\uc774 \uc5c6\ub294 \ub77c\uc774\ud2b8 \uc720\uc800 (\uacfc\ub3c4\ud55c \uce69\uc14b \ud504\ub9ac\ubbf8\uc5c4 \ube44\uc6a9 \uc9c0\ubd88 \ubd88\ud544\uc694)<\/li>\n<\/ul>\n<\/div>\n<blockquote><p><strong>\ud83d\udca1 \ub9ac\uc120\uc0dd\uc758 \ud55c\uc904\ud3c9<\/strong><br \/><em>&#8220;2026\ub144\uc758 \uc628\ub514\ubc14\uc774\uc2a4 AI\ub294 \ub354 \uc774\uc0c1 \ub9c8\ucf00\ud305\uc6a9 \uc218\uc2dd\uc5b4\uac00 \uc544\ub2c8\ub2e4. 70 TOPS NPU\uc640 16GB RAM\uc758 \uacb0\ud569\uc740 \uc2a4\ub9c8\ud2b8\ud3f0\uc744 \ube44\ub85c\uc18c \uc9c4\uc815\ud55c \uac1c\uc778 \ub9de\ucda4\ud615 \uc624\ud504\ub77c\uc778 \uc778\uacf5\uc9c0\ub2a5 \ube44\uc11c\ub85c \uc644\uc131\uc2dc\ucf30\ub2e4.&#8221;<\/em><\/p><\/blockquote>\n<h2>\ud83d\udca1 \uc790\uc8fc \ubb3b\ub294 \uc9c8\ubb38 (FAQ)<\/h2>\n<h3>Q1. 2026\ub144 \ud50c\ub798\uadf8\uc2ed \uc2a4\ub9c8\ud2b8\ud3f0\uc744 \uad6c\ub9e4\ud560 \ub54c RAM 12GB\uc640 16GB \uc911 \uc628\ub514\ubc14\uc774\uc2a4 AI \uccb4\uac10 \ucc28\uc774\uac00 \ud070\uac00\uc694?<\/h3>\n<p><strong>A.<\/strong> \ub300\ub2e8\ud788 \ud07d\ub2c8\ub2e4. \uc628\ub514\ubc14\uc774\uc2a4 LLM \ubc0f \uba40\ud2f0\ubaa8\ub2ec \ubaa8\ub378\uc740 \ucd5c\uc18c 3.5GB~5GB\uc758 RAM \uacf5\uac04\uc744 \uc0c1\uc2dc \uc810\uc720\ud569\ub2c8\ub2e4. 12GB \uae30\uae30\uc758 \uacbd\uc6b0 \ubc31\uadf8\ub77c\uc6b4\ub4dc \uc571 \ub9ac\ud504\ub808\uc2dc(\ud295\uae40) \ud604\uc0c1\uc774 \ube48\ubc88\ud558\uac8c \uc77c\uc5b4\ub098\uc9c0\ub9cc, 16GB \uc774\uc0c1 \ubaa8\ub378\uc5d0\uc11c\ub294 \uba40\ud2f0\ud0dc\uc2a4\ud0b9 \uc2dc\uc5d0\ub3c4 AI \ucd94\ub860 \uc5f0\uc0b0\uc774 \ub04a\uae40 \uc5c6\uc774 \uc6d0\ud65c\ud558\uac8c \uc791\ub3d9\ud569\ub2c8\ub2e4. \uc628\ub514\ubc14\uc774\uc2a4 AI \ud65c\uc6a9\uc744 \uace0\ub824\ud558\uc2e0\ub2e4\uba74 \ubc18\ub4dc\uc2dc 16GB \uc774\uc0c1 \uc635\uc158\uc744 \uc120\ud0dd\ud558\uc2dc\ub294 \uac83\uc744 \uad8c\uc7a5\ud569\ub2c8\ub2e4.<\/p>\n<h3>Q2. NPU \uc5f0\uc0b0 \uc131\ub2a5(TOPS) \uc218\uce58\uac00 \ub192\uc740 \uae30\uae30\uac00 \ubb34\uc870\uac74 \uc628\ub514\ubc14\uc774\uc2a4 AI \uc18d\ub3c4\uac00 \ube60\ub974\uace0 \uc6b0\uc218\ud55c\uac00\uc694?<\/h3>\n<p><strong>A.<\/strong> \uaf2d \uadf8\ub807\uc9c0\ub9cc\uc740 \uc54a\uc2b5\ub2c8\ub2e4. TOPS\ub294 \uc774\ub860\uc0c1 \ucd5c\ub300 \uc5f0\uc0b0 \ub2a5\ub825\uc744 \ub098\ud0c0\ub0b4\ub294 \uc9c0\ud45c\uc77c \ubfd0\uc774\uba70, \uc2e4\uc81c \ucd94\ub860 \uc18d\ub3c4\ub294 NPU \ucf54\uc5b4 \uc2a4\ud399 \uc678\uc5d0\ub3c4 \uba54\ubaa8\ub9ac \ub300\uc5ed\ud3ed(Memory Bandwidth), SRAM \uce90\uc2dc \ud06c\uae30, \uadf8\ub9ac\uace0 AI \uc18c\ud504\ud2b8\uc6e8\uc5b4 \ud504\ub808\uc784\uc6cc\ud06c(\uc608: CoreML, TensorRT, ExecuTorch) \ucd5c\uc801\ud654 \uc218\uc900\uc5d0 \ud06c\uac8c \uc88c\uc6b0\ub429\ub2c8\ub2e4. \ub2e8\uc21c TOPS \uc218\uce58\ubcf4\ub2e4\ub294 \uc2e4\uce21 \ud1a0\ud070 \uc0dd\uc131 \uc18d\ub3c4(Tokens\/s)\ub97c \ud655\uc778\ud558\ub294 \uac83\uc774 \uc815\ud655\ud569\ub2c8\ub2e4.<\/p>\n<h3>Q3. \uc628\ub514\ubc14\uc774\uc2a4 AI \uae30\ub2a5\uc744 \ud65c\uc131\ud654\ud558\uc5ec \uacc4\uc18d \uc0ac\uc6a9\ud560 \uacbd\uc6b0 \ubc30\ud130\ub9ac \uc218\uba85\uc774\ub098 \uc5f4\ud654\uc5d0 \uc545\uc601\ud5a5\uc744 \uc8fc\ub098\uc694?<\/h3>\n<p><strong>A.<\/strong> \ucd5c\uc2e0 2nm \uacf5\uc815\uc774 \uc801\uc6a9\ub41c NPU\ub294 CPU\/GPU \uac00\uc18d \ub300\ube44 \uc804\ub825 \ud6a8\uc728\uc774 \ub9e4\uc6b0 \ub6f0\uc5b4\ub098 \ud1b5\uc0c1\uc801\uc778 \uc0ac\uc6a9 \uc870\uac74\uc5d0\uc11c\ub294 \ubc30\ud130\ub9ac \uc601\ud5a5\uc774 \ubbf8\ubbf8\ud569\ub2c8\ub2e4. \ub2e4\ub9cc, \uc2e4\uc2dc\uac04 AI 4K \ube44\ub514\uc624 \uc0dd\uc131\uc774\ub098 \uc5f0\uc18d\ub41c \uc774\ubbf8\uc9c0 \ud569\uc131 \uc5f0\uc0b0\uc744 20\ubd84 \uc774\uc0c1 \uc9c0\uc18d\ud560 \uacbd\uc6b0 \uce69\uc14b \uace0\uc5f4\ub85c \uc778\ud55c \ubc30\ud130\ub9ac \uc5f4\ud654\uac00 \ucd09\uc9c4\ub420 \uc218 \uc788\uc73c\ubbc0\ub85c, \ud574\ub2f9 \uc791\uc5c5 \uc2dc\uc5d0\ub294 \uae30\uae30 \ubc29\uc5f4 \ucf00\uc774\uc2a4\ub97c \uc81c\uac70\ud558\uac70\ub098 \ucfe8\ub9c1 \ud658\uacbd\uc744 \uc720\uc9c0\ud558\ub294 \uac83\uc774 \uc88b\uc2b5\ub2c8\ub2e4.<\/p>\n<p><script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"2026\ub144 \ud50c\ub798\uadf8\uc2ed \uc2a4\ub9c8\ud2b8\ud3f0\uc744 \uad6c\ub9e4\ud560 \ub54c RAM 12GB\uc640 16GB \uc911 \uc628\ub514\ubc14\uc774\uc2a4 AI \uccb4\uac10 \ucc28\uc774\uac00 \ud070\uac00\uc694?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"\ub300\ub2e8\ud788 \ud07d\ub2c8\ub2e4. \uc628\ub514\ubc14\uc774\uc2a4 LLM \ubc0f \uba40\ud2f0\ubaa8\ub2ec \ubaa8\ub378\uc740 \ucd5c\uc18c 3.5GB~5GB\uc758 RAM \uacf5\uac04\uc744 \uc0c1\uc2dc \uc810\uc720\ud569\ub2c8\ub2e4. 12GB \uae30\uae30\uc758 \uacbd\uc6b0 \ubc31\uadf8\ub77c\uc6b4\ub4dc \uc571 \ub9ac\ud504\ub808\uc2dc \ud604\uc0c1\uc774 \ube48\ubc88\ud558\uac8c \uc77c\uc5b4\ub098\uc9c0\ub9cc, 16GB \uc774\uc0c1 \ubaa8\ub378\uc5d0\uc11c\ub294 \uba40\ud2f0\ud0dc\uc2a4\ud0b9 \uc2dc\uc5d0\ub3c4 AI \ucd94\ub860 \uc5f0\uc0b0\uc774 \ub04a\uae40 \uc5c6\uc774 \uc6d0\ud65c\ud558\uac8c \uc791\ub3d9\ud569\ub2c8\ub2e4.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"NPU \uc5f0\uc0b0 \uc131\ub2a5(TOPS) \uc218\uce58\uac00 \ub192\uc740 \uae30\uae30\uac00 \ubb34\uc870\uac74 \uc628\ub514\ubc14\uc774\uc2a4 AI \uc18d\ub3c4\uac00 \ube60\ub974\uace0 \uc6b0\uc218\ud55c\uac00\uc694?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"\uaf2d \uadf8\ub807\uc9c0\ub9cc\uc740 \uc54a\uc2b5\ub2c8\ub2e4. TOPS\ub294 \uc774\ub860\uc0c1 \ucd5c\ub300 \uc5f0\uc0b0 \ub2a5\ub825\uc744 \ub098\ud0c0\ub0b4\ub294 \uc9c0\ud45c\uc77c \ubfd0\uc774\uba70, \uc2e4\uc81c \ucd94\ub860 \uc18d\ub3c4\ub294 \uba54\ubaa8\ub9ac \ub300\uc5ed\ud3ed, SRAM \uce90\uc2dc \ud06c\uae30, AI \uc18c\ud504\ud2b8\uc6e8\uc5b4 \ud504\ub808\uc784\uc6cc\ud06c \ucd5c\uc801\ud654 \uc218\uc900\uc5d0 \ud06c\uac8c \uc88c\uc6b0\ub429\ub2c8\ub2e4.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"\uc628\ub514\ubc14\uc774\uc2a4 AI \uae30\ub2a5\uc744 \ud65c\uc131\ud654\ud558\uc5ec \uacc4\uc18d \uc0ac\uc6a9\ud560 \uacbd\uc6b0 \ubc30\ud130\ub9ac \uc218\uba85\uc774\ub098 \uc5f4\ud654\uc5d0 \uc545\uc601\ud5a5\uc744 \uc8fc\ub098\uc694?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"\ucd5c\uc2e0 2nm \uacf5\uc815 NPU\ub294 \uc804\ub825 \ud6a8\uc728\uc774 \ub6f0\uc5b4\ub098 \uc77c\ubc18 \uc0ac\uc6a9 \uc2dc \uc601\ud5a5\uc774 \ubbf8\ubbf8\ud569\ub2c8\ub2e4. \ub2e4\ub9cc \uc5f0\uc18d\ub41c 4K AI \uc0dd\uc131 \uc791\uc5c5\uc744 \uc7a5\uc2dc\uac04 \uc9c4\ud589\ud560 \uacbd\uc6b0 \ubc1c\uc5f4\ub85c \uc778\ud55c \uc5f4\ud654 \uc704\ud5d8\uc774 \uc788\uc73c\ubbc0\ub85c \uc801\uc808\ud55c \ucfe8\ub9c1 \ud658\uacbd\uc774 \uad8c\uc7a5\ub429\ub2c8\ub2e4.\"\n      }\n    }\n  ]\n}\n<\/script><\/p>\n<div class=\"bf-content-unit\" style=\"width: 100%; height: auto; clear: both; text-align: center; margin: 1.75rem 0;\"><ins class=\"adsbygoogle\" style=\"display: block;\" data-ad-client=\"ca-pub-8650540003551496\" data-ad-format=\"auto\" data-full-width-responsive=\"true\"><\/ins><script>(adsbygoogle = window.adsbygoogle || []).push({});<\/script><\/div>\n<div class=\"archive-source-card\" style=\"background: var(--surface-color); border: 1px solid var(--border-color); border-radius: 10px; padding: 1rem 1.25rem; margin-top: 2.5rem; font-size: 0.88rem; color: var(--text-dim); line-height: 1.6;\">\n<p class=\"source-desc\" style=\"margin: 0;\">\u203b \ubcf8 \ucf58\ud150\uce20\ub294 \ube14\ub85c\ud30c\uc778\ub354 \uc5d0\ub514\ud130\ud300\uc774 \uc9c1\uc811 \uae30\ud68d\u00b7\uac80\uc99d\ud55c \ud14c\ud06c \ub77c\uc774\ud504 \uac00\uc774\ub4dc \ud3ec\uc2a4\ud2b8\uc785\ub2c8\ub2e4. \ub3c5\uc790 \uc5ec\ub7ec\ubd84\uc758 \uc2a4\ub9c8\ud2b8\ud55c \ub514\uc9c0\ud138 \uc0dd\ud65c\uc744 \uc704\ud574 \ub9e4\uc77c \uc720\uc6a9\ud55c \ud14c\ud06c \ud301\uc744 \uc804\ud574\ub4dc\ub9bd\ub2c8\ub2e4.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Analysis of the latest on-device NPU computing power (TOPS) as of November 2026 and a comparison of the AI ecosystem strategies of Apple, Samsung, and Google! Mr. Lee provides an in-depth analysis of next-generation tech trends based on the 2nm process and 16GB RAM.<\/p>","protected":false},"author":1,"featured_media":502,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[102,92,101,104,103,91,97],"class_list":["post-496","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-4","tag-2nm","tag-npu","tag-tops","tag-8gen5","tag-a20pro","tag-ai","tag-97"],"_links":{"self":[{"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/posts\/496","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/comments?post=496"}],"version-history":[{"count":2,"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/posts\/496\/revisions"}],"predecessor-version":[{"id":503,"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/posts\/496\/revisions\/503"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/media\/502"}],"wp:attachment":[{"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/media?parent=496"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/categories?post=496"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.blofinder.com\/en\/wp-json\/wp\/v2\/tags?post=496"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}