銆�銆�QCS8550鏄珮閫氶珮绔郴鍒楃殑緋葷粺綰ц姱鐗?SoC)錛岄噰鐢?nm鍒剁▼宸ヨ壓錛屽叿澶囧崜瓚婄殑鎬ц兘涓庤兘鏁堣〃鐜般�傝鑺墖闆嗘垚浜嗕互涓嬫牳蹇冪粍浠訛細
銆�銆�鍩轟簬Arm Cortex 鏋舵瀯鏋勫緩鐨勯珮閫?Kryo鈩?CPU
銆�銆�楂橀�欰dreno鈩?740 GPU錛屾彁渚涢《綰у浘褰㈡�ц兘涓庤兘鏁?/p>
銆�銆�楂橀�歋pectra鈩?鍥懼儚淇″彿澶勭悊鍣?ISP)錛屽甫鏉ユ瀬鑷寸殑鎷嶇収涓庢憚鍍忎綋楠?/p>
銆�銆�Adreno VPU 8550錛屾敮鎸侀珮璐ㄩ噺銆佽秴楂樻竻鐨勮棰戠紪鐮佷笌瑙ｇ爜
銆�銆�Adreno 1295 DPU錛屾敮鎸佹湰鍦板強澶栨帴瓚呴珮娓呮樉紺鴻緭鍑?/p>
銆�銆�QCS8550/QCM8550鑺墖涓昏鐗規�?/strong>
銆�銆�Kryo CPU錛?4 浣嶆灦鏋?/p>
銆�銆�1 涓富鏍稿績錛屼富棰戞渶楂樿揪 3.36 GHz
銆�銆�4 涓�ц兘鏍稿績錛屼富棰戞渶楂樿揪 2.8 GHz
銆�銆�3 涓兘鏁堟牳蹇冿紝涓婚鏈�楂樿揪 2.0 GHz
銆�銆�浣庡姛鑰桝I瀛愮郴緇?LPAI)錛氬唴緗笓鐢―SP鍜孉I鍔犻�熷櫒(eNPU)錛屾敮鎸佸父鏃跺紑鍚殑闊抽銆佷紶鎰熷櫒銆佷笂涓嬫枃鏁版嵁嫻佸拰甯鎬寒鎽勫儚澶村姛鑳?/p>
銆�銆�鏀寔LP-DDR5x鍐呭瓨錛岄鐜囨渶楂?200 MHz錛屾渶澶у唴瀛樺閲忔敮鎸?6GB
銆�銆�闆嗘垚Adreno 740 GPU
銆�銆�鏀寔GPS銆丟LONASS銆佸寳鏂椼�丟alileo銆丵ZSS 鍜?NavIC錛屽叿澶?Sensor-Assisted Positioning 6.0
浼犳劅鍣ㄨ緟鍔╁畾浣嶆妧鏈?/p>
銆�銆�楂橀�歋pectra鈩?鍥懼儚淇″彿澶勭悊鍣?ISP)
銆�銆�涓夋憚錛氭渶楂樻敮鎸?36MP @ 30 FPS錛岄浂蹇棬寤惰繜(ZSL)
銆�銆�鍙屾憚錛氭渶楂樻敮鎸?64MP + 36MP @ 30 FPS錛孼SL
銆�銆�鍗曟憚錛氭渶楂樻敮鎸?108MP @30 FPS錛孼SL
銆�銆�闈欐�佺収鐗囨媿鎽勬渶楂樻敮鎸?200MP
銆�銆�楂橀�欰qstic鈩?闊抽鎶�鏈細鏀寔 WCD9380/WCD9385 闊抽緙栬В鐮佸櫒錛屽疄鐜頒綆鍔熻�楄闊沖鐞嗗強鍙戠儳綰ч煶璐ㄩ煶棰戞挱鏀?/p>
銆�銆�楂橀�氬畨鍏ㄥ鐞嗗崟鍏?Secure Processing Unit)錛氭弧瓚抽珮綰у埆鐨勫畨鍏ㄥ簲鐢ㄩ渶姹?/p>
銆�銆�楂橀�欻exagon鈩?寮犻噺澶勭悊鍣?HTP)錛氭敮鎸?Hexagon 鐭㈤噺鎵╁睍(HVX)涓庣煩闃墊墿灞?HMX)錛屾彁鍗?AI 榪愮畻鎬ц兘
銆�銆�楂橀�欶astConnect鈩?7800 緋葷粺錛氶泦鎴?WCN785x 鑺墖錛屾敮鎸?Wi-Fi 7(802.11be)銆? 脳 2 MIMO 鍜岃摑鐗?
5.3
銆�銆�楂橀�熷唴瀛樻敮鎸侊細鍥涢�氶亾灝佽灝侀《(PoP)LPDDR5X 楂橀�熷唴瀛?/p>
銆�銆�灝佽灝哄錛?5.6 脳 14.0 脳 0.56 姣背鐨?MPSP1581 PoP 灝佽
銆�銆�QCS8550/QCM8550涓昏瑙勬牸鍙傛暟
銆�銆�Process/Package錛?nm, 15.6 x 14.0mm
銆�銆�CPU錛?脳GoldP@3.2GHz + (2+2)脳Gold@2.8GHz + 3脳Silver@2.0GHz CPU
銆�銆�Memory錛? 脳 16 LPDDR5/5x @4200MHz
銆�銆�Connectivity錛歐LAN 802.11be, 2x2 MIMO
銆�銆�Bluetooth 5.3
銆�銆�GPU錛欰dreno鈩?740錛?80 MHz
銆�銆�Compute DSP錛歏73 AI-optimized tensor processor, six threads scalar DSP
銆�銆�Sensor DSP錛歈ualcomm廬 Sensing Hub 3.0
銆�銆�AI錛欴ual eNPU V3, 4 x HVX, HMX, 48 TOPS(INT8), 12 TOPS(FP16)
銆�銆�camera錛?4+36 MP 30 fps, or 36+36+36 MP 30 fps or 1 脳 108 MP 30 fps ZSL
銆�銆�Display Technology錛歈HD240 (embedded) + 1 脳 4K60 (external) w/ MST; 2 脳 DSI,
1 脳 DP1.4 over USB-C
銆�銆�Video錛歏ideo decode up to 4K240/8K60; Video encode up to 4K120/8K30, AV1
decoder
銆�銆�Audio DSP錛欻exagon V73M 2Cluster 鈥?4 Thread DSP, 5.5 MB of LPI memory, AI
Processor (eNPU) v3, to accelerate neural networking use cases
銆�銆�Storage/Peripherals錛?脳PCIe 2-lane Gen4, 1脳PCIe 2-lane Gen 3, UFS4.0, USB
3.1 Gen 2 with DP + data, eUSB
銆�銆�Security Features錛歈ualcomm廬 Trusted Execution Environment (TEE) v5.3,
Qualcomm廬 Type-1 Hypervisor enables multiple trusted VMs (TVMs)
銆�銆�鍩轟簬楂橀�歈CS8550澶勭悊鍣ㄧ殑瑙ｅ喅鏂規鍙負瀹㈡埛鎻愪緵鏇撮珮鎬ц兘鍜屾洿澶ц繍綆楄兘鍔涳紝鏀寔瓚呭己8鏍稿鐞嗗櫒浠ュ強Adreno鈩?740 GPU銆傝瑙ｅ喅鏂規鏀寔鏈�澶?灞忔樉紺恒�?K瑙嗛緙栬В鐮併�傛嫢鏈夐珮杈?48 Tops鐨凙I綆楀姏錛岄�傜敤浜庢櫤鑳藉駭鑸便�佽竟緙樻櫤綆楃洅銆佽竟緙樹晶AI澶勭悊銆佹満鍣ㄤ漢銆佽棰戣褰曚華銆丄IOT絳夊縐嶇被鍨嬪簲鐢ㄣ�?/span>