{"id":9909,"date":"2026-04-01T16:11:38","date_gmt":"2026-04-01T08:11:38","guid":{"rendered":"https:\/\/ieeker.com\/?p=9909"},"modified":"2026-04-01T18:06:49","modified_gmt":"2026-04-01T10:06:49","slug":"rk3588-vs-rk3399-edge-ai-performance","status":"publish","type":"post","link":"https:\/\/ieeker.com\/tr\/rk3588-vs-rk3399-edge-ai-performance\/","title":{"rendered":"RK3588 vs. RK3399 ve \u00d6nemli Rakipler: Edge Yapay Zeka Performans\u0131nda Ger\u00e7ek Bir S\u0131\u00e7rama"},"content":{"rendered":"
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U\u00e7 bili\u015fim ve end\u00fcstriyel yapay zekan\u0131n h\u0131zla geli\u015fen ortam\u0131nda, i\u015flemci se\u00e7imi art\u0131k yaln\u0131zca teknik bir spesifikasyon uygulamas\u0131 de\u011fil; \u00fcr\u00fcn performans\u0131n\u0131, pazara sunma s\u00fcresini ve uzun vadeli \u00f6l\u00e7eklenebilirli\u011fi do\u011frudan etkileyen stratejik bir karard\u0131r.<\/span><\/p>

At IEEKER<\/a>yeni nesil g\u00f6m\u00fcl\u00fc sistemler geli\u015ftiren m\u00fchendislerle i\u015f ortakl\u0131\u011f\u0131 yap\u0131yoruz. S\u00fcrekli duydu\u011fumuz bir soru var:\u00a0Y\u00fckseltme i\u015flemi RK3399 (veya rakip platformlar)<\/a> RK3588'e ger\u00e7ekten de\u011fer mi?<\/em><\/span><\/p>

K\u0131sa cevap \u015fudur\u00a0Evet.<\/strong>-Ve aradaki fark kademeli de\u011fil, nesiller aras\u0131d\u0131r.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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RK3588 nedir?<\/h2>

Taraf\u0131ndan geli\u015ftirilmi\u015ftir Rockchip<\/a>, the RK3588<\/a> y\u00fcksek performansl\u0131 u\u00e7 bili\u015fim, yapay zeka \u00e7\u0131kar\u0131m\u0131 ve geli\u015fmi\u015f multimedya i\u015fleme i\u00e7in tasarlanm\u0131\u015f amiral gemisi ARM tabanl\u0131 bir Yonga \u00dczerinde Sistemdir (SoC). Selefi RK3399'un aksine, RK3588 temelde yeni bir CPU sunar AMR'nin yapay zeka mimarisi<\/a> ve 6 TOPS yapay zeka performans\u0131 sunabilen \u00f6zel bir Sinir \u0130\u015fleme Birimi (NPU) entegre eder.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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RK3588 vs. RK3399: Nesiller Aras\u0131 Bir S\u0131\u00e7rama<\/h2>
\u015eartname<\/span><\/th>RK3588<\/span><\/th>RK3399<\/span><\/th><\/tr><\/thead>
CPU<\/strong><\/span><\/td>4\u00d7 Cortex-A76 + 4\u00d7 Cortex-A55<\/span><\/td>2\u00d7 Cortex-A72 + 4\u00d7 Cortex-A53<\/span><\/td><\/tr>
\u0130\u015flem D\u00fc\u011f\u00fcm\u00fc<\/strong><\/span><\/td>8nm<\/span><\/td>28nm<\/span><\/td><\/tr>
NPU<\/strong><\/span><\/td>6 TOPS (\u00fc\u00e7 \u00e7ekirdekli)<\/span><\/td>Hi\u00e7biri<\/span><\/td><\/tr>
GPU<\/strong><\/span><\/td>Mali-G610 MC4<\/span><\/td>Mali-T860 MP4<\/span><\/td><\/tr>
Video Kodlama\/Kod \u00c7\u00f6zme<\/strong><\/span><\/td>8K@60fps kod \u00e7\u00f6zme \/ 8K@30fps kodlama<\/span><\/td>Yaln\u0131zca 4K@60fps kod \u00e7\u00f6zme<\/span><\/td><\/tr>
Haf\u0131za<\/strong><\/span><\/td>LPDDR4x \/ LPDDR5 (32GB'a kadar)<\/span><\/td>LPDDR3 \/ LPDDR4<\/span><\/td><\/tr>
I\/O ve Ba\u011flant\u0131<\/strong><\/span><\/td>PCIe 3.0, USB 3.1, \u00e7ift 2.5GbE<\/span><\/td>S\u0131n\u0131rl\u0131 PCIe 2.1, tek GbE<\/span><\/td><\/tr><\/tbody><\/table>

RK3588 \u00fcr\u00fcn sayfas\u0131<\/a><\/span><\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Performans Analizi<\/h3>

\u0130\u015eLEMCI:<\/strong>\u00a0Cortex-A72'den Cortex-A76 \u00e7ekirdeklerine ge\u00e7i\u015f, ger\u00e7ek d\u00fcnyadaki i\u015f y\u00fcklerinde yakla\u015f\u0131k 2,5-3 kat daha y\u00fcksek tamsay\u0131 performans\u0131 ve 8nm i\u015flem d\u00fc\u011f\u00fcm\u00fc sayesinde \u00f6nemli \u00f6l\u00e7\u00fcde iyile\u015ftirilmi\u015f g\u00fc\u00e7 verimlili\u011fi sa\u011flar. End\u00fcstriyel kontrol ve u\u00e7 a\u011f ge\u00e7idi uygulamalar\u0131 i\u00e7in bu, daha h\u0131zl\u0131 kesme yan\u0131t\u0131, daha d\u00fc\u015f\u00fck gecikme s\u00fcresi ve termal k\u0131s\u0131tlamalar alt\u0131nda s\u00fcrekli \u00e7ok i\u015f par\u00e7ac\u0131kl\u0131 performans anlam\u0131na gelir.<\/span><\/p>

NPU:<\/strong>\u00a0RK3399, de\u011ferli i\u015flem kaynaklar\u0131n\u0131 t\u00fcketen verimsiz bir yakla\u015f\u0131m olan CPU veya GPU'ya \u00e7\u0131kar\u0131m g\u00f6revlerini zorlayan \u00f6zel AI h\u0131zland\u0131rmas\u0131ndan yoksundur. RK3588'in 6 TOPS NPU'su INT4, INT8 ve INT16 nicemlemeyi destekleyerek CNN, RNN ve d\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fc tabanl\u0131 modellerin verimli bir \u015fekilde kullan\u0131lmas\u0131n\u0131 sa\u011flar. Pratikte, YOLOv5<\/a> \u00e7\u0131kar\u0131m\u0131, RK3399 CPU-only y\u00fcr\u00fctmeye k\u0131yasla RK3588 \u00fczerinde 5-10 kat daha h\u0131zl\u0131 \u00e7al\u0131\u015f\u0131r.<\/span><\/p>

Multimedya:<\/strong>\u00a0\u00c7ift HDMI 2.1 \u00e7\u0131k\u0131\u015f\u0131, MIPI DSI ve eDP arabirimleri ile RK3588, d\u00f6rt adede kadar ba\u011f\u0131ms\u0131z ekran\u0131 destekler. 8K video i\u015flem hatt\u0131, RK3399'un yaln\u0131zca 4K kod \u00e7\u00f6zme \u00f6zelli\u011finin yetersiz kald\u0131\u011f\u0131 uygulamalar olan t\u0131bbi g\u00f6r\u00fcnt\u00fcleme, bilgi ekran\u0131 ve \u00e7ok kanall\u0131 g\u00f6zetim sistemleri i\u00e7in uygun hale getirir.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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RK3588 ve \u00d6nemli Rakipleri<\/h2>

Kapsaml\u0131 bir g\u00f6r\u00fcn\u00fcm sa\u011flamak i\u00e7in, RK3588'i yayg\u0131n olarak benimsenen \u00fc\u00e7 u\u00e7 yapay zeka platformuyla kar\u015f\u0131la\u015ft\u0131r\u0131yoruz: NVIDIA Jetson Nano<\/a>, NXP i.MX 8M Plus<\/a>ve Qualcomm QCS6490<\/a>.<\/span><\/p>

\u00d6zellik<\/span><\/th>RK3588<\/strong><\/span><\/th>NVIDIA Jetson Nano<\/strong><\/span><\/th>NXP\u00a0i.MX<\/a>\u00a08M Plus<\/strong><\/span><\/th>Qualcomm QCS6490<\/strong><\/span><\/th><\/tr><\/thead>
CPU<\/strong><\/span><\/td>4\u00d7 A76 + 4\u00d7 A55<\/span><\/td>4\u00d7 Cortex-A57<\/span><\/td>4\u00d7 Cortex-A53 + 1\u00d7 M7<\/span><\/td>4\u00d7 Kryo 670 (A78 tabanl\u0131)<\/span><\/td><\/tr>
\u0130\u015flem D\u00fc\u011f\u00fcm\u00fc<\/strong><\/span><\/td>8nm<\/span><\/td>20nm<\/span><\/td>14nm<\/span><\/td>6nm<\/span><\/td><\/tr>
NPU \/ Yapay Zeka H\u0131zland\u0131r\u0131c\u0131<\/strong><\/span><\/td>6 TOPS<\/span><\/td>0,5 TOPS (GPU + CUDA)<\/span><\/td>2.3 TOPS (NXP eIQ)<\/span><\/td>13 TOPS (Alt\u0131gen)<\/span><\/td><\/tr>
GPU<\/strong><\/span><\/td>Mali-G610 MC4<\/span><\/td>128 \u00e7ekirdekli Maxwell<\/span><\/td>Vivante GC7000L<\/span><\/td>Adreno 643<\/span><\/td><\/tr>
Video Kodlama<\/strong><\/span><\/td>8K@30fps<\/span><\/td>4K@30fps<\/span><\/td>1080p@60fps<\/span><\/td>4K@60fps<\/span><\/td><\/tr>
Haf\u0131za<\/strong><\/span><\/td>LPDDR4x \/ LPDDR5<\/span><\/td>LPDDR4 (4GB)<\/span><\/td>LPDDR4 (8GB'a kadar)<\/span><\/td>LPDDR5 (12GB'a kadar)<\/span><\/td><\/tr>
I\/O<\/strong><\/span><\/td>PCIe 3.0, \u00e7ift 2.5GbE, USB 3.1<\/span><\/td>PCIe 2.0, GbE<\/span><\/td>PCIe 3.0, GbE<\/span><\/td>PCIe 2.0, GbE<\/span><\/td><\/tr>
Tipik Kullan\u0131m \u00d6rnekleri<\/strong><\/span><\/td>Edge AI, end\u00fcstriyel HMI, \u00e7oklu ekran<\/span><\/td>Giri\u015f seviyesi yapay zeka, robotik<\/span><\/td>End\u00fcstriyel kontrol, g\u00f6r\u00fc\u015f<\/span><\/td>AIoT, otomotiv, dayan\u0131kl\u0131 cihazlar<\/span><\/td><\/tr><\/tbody><\/table><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Kar\u015f\u0131la\u015ft\u0131rmal\u0131 Analiz<\/h3>

NVIDIA Jetson Nano'ya kar\u015f\u0131:<\/strong>\u00a0Jetson Nano, NVIDIA'n\u0131n CUDA ekosisteminden yararlan\u0131rken, Maxwell GPU'su yapay zeka i\u015f y\u00fckleri i\u00e7in yaln\u0131zca ~0,5 TOPS sunar; bu da RK3588'in \u00f6zel 6 TOPS NPU'sunun \u00e7ok alt\u0131ndad\u0131r. Ayr\u0131ca, RK3588'in modern 8nm s\u00fcreci ve Cortex-A76 \u00e7ekirdekleri \u00fcst\u00fcn CPU performans\u0131 ve g\u00fc\u00e7 verimlili\u011fi sa\u011flar. Giri\u015f seviyesi AI veya 4K video kodlamadan daha fazlas\u0131n\u0131 gerektiren uygulamalar i\u00e7in RK3588 a\u00e7\u0131k bir se\u00e7imdir.<\/span><\/p>

NXP'ye kar\u015f\u0131\u00a0i.MX<\/a>\u00a08M Plus:<\/strong>\u00a0Bu\u00a0i.MX<\/a>\u00a08M Plus, NXP eIQ NPU'su arac\u0131l\u0131\u011f\u0131yla 2,3 TOPS sunan end\u00fcstriyel kontrol ve g\u00f6r\u00fcnt\u00fc uygulamalar\u0131 i\u00e7in g\u00fc\u00e7l\u00fc bir rakiptir. Bununla birlikte, Cortex-A53 \u00e7ekirdekleri genel ama\u00e7l\u0131 i\u015flem verimini s\u0131n\u0131rlar. RK3588 daha y\u00fcksek CPU performans\u0131, 8K video \u00f6zelli\u011fi ve \u00f6nemli \u00f6l\u00e7\u00fcde daha fazla I\/O bant geni\u015fli\u011fi (\u00e7ift 2.5GbE, PCIe 3.0) sunarak veri yo\u011fun u\u00e7 AI a\u011f ge\u00e7itleri ve \u00e7ok ekranl\u0131 HMI sistemleri i\u00e7in daha uygun hale getirir.<\/span><\/p>

Qualcomm QCS6490'a kar\u015f\u0131:<\/strong>\u00a0QCS6490, Qualcomm'un Hexagon DSP'sinden yararlanarak 13 TOPS'ta etkileyici yapay zeka performans\u0131 sunuyor. Bununla birlikte, t\u00fcketici IoT ve otomotiv alanlar\u0131na odaklanmas\u0131, daha uzun tedarik zinciri teslim s\u00fcreleri ve daha az end\u00fcstriyel odakl\u0131 destek anlam\u0131na gelir. RK3588, kapsaml\u0131 Linux deste\u011fi, esnek I\/O ve Rockchip'in uzun vadeli kullan\u0131labilirlik taahh\u00fcd\u00fc ile end\u00fcstriyel u\u00e7 bili\u015fim i\u00e7in daha dengeli bir profil \u00e7iziyor.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Ger\u00e7ek D\u00fcnya Kullan\u0131m \u00d6rnekleri: M\u00fchendisler Neden Y\u00fckseltme Yap\u0131yor?<\/h2>

IEEKER'in m\u00fc\u015fteri taban\u0131 genelinde RK3588 Mod\u00fcl \u00dczerinde Sistem (SoM)<\/a> konu\u015fland\u0131r\u0131l\u0131yor:<\/span><\/p>