272:
and implements the ARMv9.0-A instruction set. It was officially announced by Arm on
September 22, 2020. On August 28, 2023, Arm announced the Neoverse CSS N2 (Genesis), a customizable CPU subsystem implementation by Arm to reduce the time to market for customers. Microsoft Azure Cobalt 100 128 Core
501:
With code name
Poseidon a successor for Neoverse V1 (aka Zeus) was first publicly mentioned on TechCon 2018. Actual introduction (used by third party chip designers in their products) was given in form of a rough target date of 2021. Its initial realization process is said to be 5 nm by TSMC.
987:
74:
and implements the ARMv8.4-A instruction set and some part of ARMv8.6-A. It was officially announced by Arm on
September 22, 2020. It is said to be initially realized with a 7 nm process from
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598:
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561:
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809:
362:
Neoverse E-Next, presumably E3, was teased by Arm alongside the V2 and E2 announcements. It is targeted for systems including
310:
Neoverse N-Next, presumably N3, was teased by Arm alongside the V2 and E2 announcements. It is targeted for systems including
393:
618:
1223:
858:
912:"Neoverse CSS Fastest Path to Production Silicon - Infrastructure Solutions blog - Arm Community blogs - Arm Community"
738:
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3253:
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2020:
2016:
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343:
105:
and implements the ARMv9.0-A instruction set. It was officially announced by Arm on
September 14, 2022. NVIDIA Grace,
220:
redesigned for infrastructure/server applications. The reference design supports up to 64 or 128 Neoverse N1 cores.
2384:
55:
43:
1092:"Arm Announces Neoverse V1, N2 Platforms & CPUs, CMN-700 Mesh: More Performance, More Cores, More Flexibility"
1049:"Arm Announces Neoverse V1, N2 Platforms & CPUs, CMN-700 Mesh: More Performance, More Cores, More Flexibility"
1022:
888:"Arm Announces Neoverse V1, N2 Platforms & CPUs, CMN-700 Mesh: More Performance, More Cores, More Flexibility"
562:"Arm Announces Neoverse V1, N2 Platforms & CPUs, CMN-700 Mesh: More Performance, More Cores, More Flexibility"
2648:
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1903:
1433:
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1971:
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1528:
1353:
789:
787:
785:
783:
1073:"Arm Announces Neoverse N1 & E1 Platforms & CPUs: Enabling a Huge Jump in Infrastructure Performance"
835:"Arm Announces Neoverse N1 & E1 Platforms & CPUs: Enabling A Huge Jump In Infrastructure Performance"
3562:
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1415:
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1072:
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834:
762:
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1458:
1260:
961:
632:
547:
342:
Neoverse E1 is derived from the Cortex-A65AE and implements the ARMv8.2-A instruction set. It support
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1951:
1946:
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1707:
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1427:
1322:
1115:"Accelerate Artificial Intelligence (AI) Workloads with Intel Advanced Matrix Extensions (Intel AMX)"
371:
319:
177:
46:
use. The group consists of ARM Neoverse V-Series, ARM Neoverse N-Series, and ARM Neoverse E-Series.
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168:) was teased by Arm alongside the V2 and E2 announcements. It is targeted for systems including
1011:
https://www.servethehome.com/microsoft-azure-cobalt-100-128-core-arm-neoverse-n2-cpu-launched/
209:
717:"Join the preview for new memory-optimized, AWS Graviton4-powered Amazon EC2 instances (R8g)"
2820:
2343:
658:"Redefining the global computing infrastructure with next-generation Arm Neoverse platforms"
249:
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879:
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Neoverse E2 is derived from the Cortex-A510 and implements the ARMv9-A instruction set.
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253:
106:
86:
334:. They are designed for increased data throughput at decreased power consumption.
256:(64-core) CPU platforms are based on Neoverse N1 cores and were released in 2020.
2026:
1818:
1622:
367:
315:
197:
173:
988:"Arm Gets Closer To Creating Full-Blown Server CPU Designs - The Next Platform"
795:"Arm Announces Neoverse V2 and E2: The Next Generation of Arm Server CPU Cores"
17:
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The ARM Neoverse is a group of 64-bit ARM processor cores licensed by
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78:. One of the changes from the X1 is that it supports SVE 2x256-bit.
2883:
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Cortex-A65, Cortex-A65AE, Cortex-A76AE, Cortex-A78C, Cortex-X1C,
2238:
2034:
1891:
1700:
1610:
1501:
1421:
1403:
1336:
1328:
810:"Arm Neoverse Brand Launched for Infrastructure Servers to Edge"
363:
311:
169:
75:
1152:
599:"Accelerating the next generation cloud-to-edge infrastructure"
534:"Arm Puts Some Muscle Into Future Neoverse Server CPU Designs"
1109:
1107:
196:
The
Neoverse N-Series processors are intended for core
245:
Neoverse N1 implements the ARMv8.2-A instruction set.
126:
micro-op cache: 1536 entries (reduced for efficiency)
2547:
T310, T606, T610, T615, T616, T618, T619, T700, T710
208:
On
February 20, 2019, Arm announced the Neoverse N1
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1232:
548:"Neoverse V1 - Microarchitectures - ARM - WikiChip"
859:"Arm Launches New Neoverse N1 and E1 Server Cores"
330:The Neoverse E-Series processors are intended for
241:Mesh interconnect instead of 1–4 cores per cluster
54:The Neoverse V-Series processors are intended for
2728:Dimensity 7020, 7025, 7030, 7050, 7300(Energy/X)
1139:"Poseidon - Microarchitectures - ARM - WikiChip"
619:"Inside Amazon's Graviton3 Arm Server Processor"
2276:Exynos 7872, 7884, 7885, 7904, 9609, 9610, 9611
188:, now V1, and targeted for 2021 on a 5nm node.
2021:MT8161, MT8163, MT8165, MT8732, MT8735, MT8752
1164:
378:Matrix multiplication theoretical performance
184:was first used for the generation succeeding
8:
1475:AML8726, MX, M6x, M801, M802/S802, S812, T86
1023:"ARM's Neoverse N2: Cortex A710 for Servers"
942:Arm | The Architecture for the Digital World
3393:
3128:
3098:
3053:
3020:
2958:
2911:
2474:
2444:
1878:
1871:
1836:
1247:
1240:
1171:
1157:
1149:
739:"Introducing Google's new Arm-based CPU"
381:
1813:S1, S2, S3, S4 Plus, S4 Pro, 600, 800 (
986:Morgan, Timothy Prickett (2023-08-31).
696:"NVIDIA Grace CPU and Arm Architecture"
511:
1974:Armada PXA1928, Mobile PXA1908/PXA1936
276:Notable changes from the Neoverse N1:
116:Notable changes from the Neoverse V1:
2896:M3 (Meerkat), M4 (Cheetah), M5 (Lion)
1204:List of products using ARM processors
223:Notable changes from the Cortex-A76:
7:
2633:Dimensity 6020, 6080, 6100+, 6300(+)
141:L2 cache: 1024-2048 KB per core
113:Axion are based on the Neoverse V2.
2609:7c, 7c Gen 2, 8c, 8cx and 8cx Gen 2
2075:Exynos 7570, 7578, 7580, 7870, 7880
763:"Hot Chips 2023: Arm's Neoverse V2"
238:L2 cache: 512–1024 KB per core
27:Group of 64-bit ARM processor cores
25:
2262:632, 636, 660, 662, 665, 680, 685
2060:610, 615, 616, 617, 625, 626, 630
962:"Arm at HC35 (2023): CSS-Genesis"
3517:
3505:
3361:
3336:
2962:
2846:
2736:Kompanio 900T, 1200, 1380, 1300T
1349:LC1813, LC1860/C, LC1913, LC1960
808:Kennedy, Patrick (2018-10-16).
633:"Graviton 3: First Impressions"
1356:Armada PXA1920, 1500 mini plus
1:
2768:Exynos 1080, 1280, 1330, 1380
1416:Exynos 3110(S5PC110), S5PV210
938:"Neoverse Compute Subsystems"
89:is based on the Neoverse V1.
34:. The cores are intended for
2732:8000, 8020, 8050, 8100, 8200
2649:T750, T760, T765, T770, T820
2429:M1 (Mongoose), M2 (Mongoose)
1557:NuSmart 2816M, NS115, NS115M
1496:VideoCore BCM21xxx, BCM28xxx
1470:Altera Cyclone V, Arria V/10
1224:Comparison of ARM processors
283:micro-op cache: 1536 entries
264:The Neoverse N2 (code named
1343:VideoCore BCM2836, BCM23550
1179:Application ARM-based chips
153:Up to 4 TB/s bandwidth
3579:
3246:Dimensity 7200 (Pro/Ultra)
3145:Dimensity 7200 (Pro/Ultra)
286:Rename / Dispatch width: 5
144:CMN-700 mesh interconnect
132:Rename / Dispatch width: 8
56:high-performance computing
44:high-performance computing
1184:
301:CMN-700 mesh interconnect
292:Pipeline depth: 10 cycles
120:BTB capacity: 12K entries
2211:Snapdragon 650, 652, 653
1564:EMMA EV2, R-Car H1, RZ/A
280:BTB capacity: 8K entries
164:Neoverse V3 (code named
97:Neoverse V2 (code named
66:Neoverse V1 (code named
2621:MT6781, MT6785V, MT6789
2152:Kirin Hi1610 and Hi1612
1194:ARM architecture family
252:(2-socket 80-core) and
147:Up to 256 cores per die
123:TAGE predictor: 8-table
3289:Snapdragon 7s/7+ Gen 2
2724:MT6879, MT6891, MT6893
2199:MT8173, MT8176, MT8693
2140:Snapdragon 808 and 810
1323:A2x, A3x, A83T, H3, H8
1199:List of ARM processors
478:Intel 4th Gen Xeon SP
461:Intel 3rd Gen Xeon SP
273:CPU uses Neoverse N2.
268:) is derived from the
101:) is derived from the
70:) is derived from the
3490:Snapdragon 8(s) Gen 3
3452:Snapdragon 8(s) Gen 3
3414:Snapdragon 8(s) Gen 3
150:Up to 512 MB SLC
3321:Dimensity 9200/9200+
3283:Dimensity 9000/9000+
3200:Dimensity 9000/9000+
2625:MT6833V/P, MT6853V/T
2118:Opteron A1100-series
2031:QorIQ LS1088, LS1043
992:www.nextplatform.com
3486:Snapdragon 7+ Gen 3
3448:Snapdragon 7+ Gen 3
3410:Snapdragon 7+ Gen 3
2758:778G(+), 780G, 782G
2146:Exynos 7 5433, 7420
1800:Broadcom Brahma-B15
1047:Frumusanu, Andrei.
886:Frumusanu, Andrei.
833:Frumusanu, Andrei.
384:
383:ops/cycle per core
295:Execution ports: 13
235:with 4-cycle LD-use
216:) derived from the
138:Execution ports: 15
3327:Snapdragon 8 Gen 2
3260:Snapdragon 7 Gen 3
3206:Snapdragon 7 Gen 1
3159:Snapdragon 7 Gen 1
2742:Snapdragon 4 Gen 1
2597:720G, 730(G), 732G
2093:SC9832E, SC9860/GV
2079:Texas Instruments
2052:425, 427, 430, 435
1963:650, 655, 658, 659
1706:Texas Instruments
1699:Texas Instruments
1615:Texas Instruments
1609:Texas Instruments
1432:Texas Instruments
1426:Texas Instruments
1420:Texas Instruments
382:
3550:
3549:
3546:
3545:
3542:
3541:
3480:Dimensity 9300(+)
3442:Dimensity 9300(+)
3385:
3384:
3120:
3119:
3090:
3089:
3045:
3044:
3012:
3011:
2950:
2949:
2903:
2902:
2797:Snapdragon 888(+)
2754:6 Gen 1, 6s Gen 3
2668:Dimensity 1000(+)
2589:Snapdragon 480(+)
2531:Exynos 9820, 9825
2466:
2465:
2436:
2435:
1933:Altera Stratix 10
1929:A64, H5, H64, R18
1859:
1858:
1855:
1854:
1828:
1827:
1282:iMAPx820, iMAPx15
1053:www.anandtech.com
916:community.arm.com
892:www.anandtech.com
839:www.anandtech.com
743:Google Cloud Blog
676:developer.arm.com
621:. 4 January 2022.
494:
493:
326:Neoverse E-Series
210:microarchitecture
192:Neoverse N-Series
83:The Next Platform
50:Neoverse V-Series
16:(Redirected from
3570:
3475:Google Tensor G4
3437:Google Tensor G4
3405:Google Tensor G4
3394:
3316:Google Tensor G3
3241:Google Tensor G3
3153:9000/9000+, 9200
3140:Google Tensor G3
3129:
3099:
3054:
3021:
2959:
2912:
2823:Altra, Altra Max
2715:Google Tensor G2
2475:
2445:
1879:
1872:
1837:
1703:, DRA7xx, AM57xx
1621:VIA WonderMedia
1531:Armada 1500 mini
1248:
1241:
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1166:
1159:
1150:
1143:
1142:
1135:
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1077:
1076:
1069:
1063:
1062:
1060:
1059:
1044:
1038:
1037:
1035:
1034:
1027:Chips and Cheese
1019:
1013:
1008:
1002:
1001:
999:
998:
983:
977:
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973:
966:Chips and Cheese
958:
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830:
824:
823:
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820:
805:
799:
798:
791:
778:
777:
775:
774:
767:Chips and Cheese
759:
753:
752:
750:
749:
735:
729:
728:
726:
724:
713:
707:
706:
704:
703:
692:
686:
685:
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682:
668:
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661:
654:
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637:Chips and Cheese
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536:. 27 April 2021.
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3351:Microsoft Azure
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2916:
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2702:
2653:
2555:
2541:MT6768, MT6779V
2498:
2462:
2449:
2432:
2336:
2330:
2314:
2243:
2156:
2103:
1923:GT7, S900, V700
1908:
1867:
1865:
1851:
1824:
1765:
1759:
1743:
1712:
1639:
1534:MediaTek MT65xx
1444:
1375:
1359:MediaTek MT65xx
1308:
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1234:
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380:
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358:Neoverse E-Next
352:
340:
328:
308:
306:Neoverse N-Next
289:ROB: 160+ entry
262:
206:
194:
180:. The codename
162:
129:Decode width: 6
95:
64:
52:
28:
23:
22:
18:ARM Neoverse E1
15:
12:
11:
5:
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3563:ARM processors
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3387:
3386:
3383:
3382:
3380:
3379:
3376:
3373:
3366:
3364:
3358:
3357:
3355:
3354:
3348:
3341:
3339:
3333:
3332:
3330:
3329:
3323:
3317:
3313:
3311:
3305:
3304:
3302:
3301:
3295:
3285:
3278:
3276:
3270:
3269:
3267:
3266:
3256:
3242:
3238:
3236:
3230:
3229:
3227:
3226:
3220:
3202:
3195:
3193:
3187:
3186:
3184:
3183:
3177:
3155:
3141:
3137:
3135:
3126:
3122:
3121:
3118:
3117:
3115:
3114:
3107:
3105:
3096:
3092:
3091:
3088:
3087:
3085:
3084:
3062:
3060:
3051:
3047:
3046:
3043:
3042:
3040:
3039:
3029:
3027:
3018:
3014:
3013:
3010:
3009:
3007:
3006:
2988:
2986:
2980:
2979:
2977:
2976:
2967:
2965:
2956:
2952:
2951:
2948:
2947:
2945:
2944:
2938:
2920:
2918:
2909:
2905:
2904:
2901:
2900:
2898:
2897:
2894:Samsung Exynos
2891:
2878:
2872:
2867:
2861:
2859:
2853:
2852:
2850:
2849:
2842:
2840:
2836:
2835:
2833:
2832:
2824:
2817:
2815:
2809:
2808:
2806:
2805:
2799:
2793:
2786:
2784:
2778:
2777:
2775:
2774:
2764:
2738:
2720:MT6877, MT6878
2716:
2712:
2710:
2704:
2703:
2701:
2700:
2690:
2684:
2682:865(+) and 870
2674:Snapdragon 690
2670:
2663:
2661:
2655:
2654:
2652:
2651:
2645:
2639:
2629:MT6873, MT6875
2617:
2611:
2605:855(+) and 860
2585:
2575:Kirin 810, 820
2571:
2565:
2563:
2557:
2556:
2554:
2553:
2543:
2533:
2527:
2513:Snapdragon 670
2508:
2506:
2500:
2499:
2497:
2496:
2494:SC9863/A, T603
2490:
2483:
2481:
2472:
2468:
2467:
2464:
2463:
2461:
2460:
2453:
2451:
2442:
2438:
2437:
2434:
2433:
2431:
2430:
2427:Samsung Exynos
2424:
2414:
2393:
2387:
2379:
2347:
2340:
2338:
2332:
2331:
2329:
2328:
2322:
2320:
2316:
2315:
2313:
2312:
2306:
2304:MT8183, MT8788
2292:
2278:
2272:
2258:Snapdragon 460
2253:
2251:
2245:
2244:
2242:
2241:
2219:
2213:
2207:
2201:
2191:
2185:Kirin 950, 955
2181:
2175:
2166:
2164:
2158:
2157:
2155:
2154:
2148:
2142:
2136:
2126:
2120:
2113:
2111:
2105:
2104:
2102:
2101:
2095:
2083:
2077:
2071:
2069:RK3328, RK3368
2065:
2064:Renesas RZ/V2M
2062:
2037:
2023:
1975:
1969:
1955:
1949:
1943:
1938:S9 Family, T96
1934:
1931:
1925:
1918:
1916:
1910:
1909:
1907:
1906:
1900:
1898:MT6799, MT8516
1894:
1887:
1885:
1876:
1869:
1861:
1860:
1857:
1856:
1853:
1852:
1850:
1849:
1843:
1841:
1834:
1830:
1829:
1826:
1825:
1823:
1822:
1807:
1801:
1798:
1769:
1767:
1761:
1760:
1758:
1757:
1751:
1749:
1745:
1744:
1742:
1741:
1735:
1729:
1727:MT6595, MT5595
1722:
1720:
1714:
1713:
1711:
1710:
1704:
1697:
1684:
1678:
1668:
1662:
1656:
1649:
1647:
1641:
1640:
1638:
1637:
1635:ZMS-20, ZMS-40
1631:
1625:
1619:
1613:
1607:
1601:
1595:
1582:
1565:
1559:
1553:
1535:
1532:
1526:
1524:LC1810, LC1811
1520:
1514:
1504:
1498:
1492:
1480:
1471:
1468:
1454:
1452:
1446:
1445:
1443:
1442:
1436:
1430:
1424:
1418:
1412:
1406:
1400:
1392:
1385:
1383:
1377:
1376:
1374:
1373:
1360:
1357:
1351:
1345:
1339:
1325:
1318:
1316:
1310:
1309:
1307:
1306:
1300:
1297:
1284:
1278:
1272:
1267:M805/S805, T82
1263:
1256:
1254:
1245:
1238:
1230:
1229:
1227:
1226:
1221:
1216:
1211:
1206:
1201:
1196:
1191:
1185:
1182:
1181:
1178:
1176:
1175:
1168:
1161:
1153:
1145:
1144:
1130:
1103:
1078:
1064:
1039:
1014:
1003:
978:
953:
928:
903:
875:
850:
825:
800:
779:
754:
730:
708:
687:
663:
649:
624:
610:
587:
567:
553:
539:
525:
520:"Arm Neoverse"
510:
509:
507:
504:
498:
495:
492:
491:
488:
485:
482:
479:
475:
474:
471:
468:
465:
462:
458:
457:
454:
451:
448:
445:
441:
440:
437:
434:
431:
428:
424:
423:
420:
417:
414:
411:
407:
406:
401:
396:
391:
388:
379:
376:
359:
356:
351:
348:
339:
336:
332:edge computing
327:
324:
307:
304:
303:
302:
299:
296:
293:
290:
287:
284:
281:
261:
258:
243:
242:
239:
236:
205:
202:
193:
190:
161:
158:
157:
156:
155:
154:
151:
148:
142:
139:
136:
135:ROB: 320 entry
133:
130:
127:
124:
121:
94:
91:
63:
60:
51:
48:
40:edge computing
26:
24:
14:
13:
10:
9:
6:
4:
3:
2:
3575:
3564:
3561:
3560:
3558:
3537:
3533:
3527:
3521:
3519:
3515:
3509:
3507:
3503:
3497:
3493:
3491:
3487:
3483:
3481:
3477:
3474:
3473:
3471:
3469:
3465:
3459:
3455:
3453:
3449:
3445:
3443:
3439:
3436:
3435:
3433:
3431:
3427:
3421:
3417:
3415:
3411:
3407:
3404:
3403:
3401:
3399:
3395:
3392:
3388:
3377:
3374:
3372:
3368:
3367:
3365:
3363:
3359:
3352:
3349:
3346:
3343:
3342:
3340:
3338:
3334:
3328:
3324:
3322:
3318:
3315:
3314:
3312:
3310:
3306:
3300:
3296:
3294:
3290:
3286:
3284:
3280:
3279:
3277:
3275:
3271:
3265:
3261:
3257:
3255:
3251:
3247:
3243:
3240:
3239:
3237:
3235:
3231:
3225:
3221:
3219:
3215:
3211:
3207:
3203:
3201:
3197:
3196:
3194:
3192:
3188:
3182:
3178:
3176:
3172:
3168:
3164:
3160:
3156:
3154:
3150:
3146:
3142:
3139:
3138:
3136:
3134:
3130:
3127:
3123:
3113:
3109:
3108:
3106:
3100:
3097:
3093:
3083:
3079:
3075:
3071:
3067:
3064:
3063:
3061:
3055:
3052:
3048:
3038:
3034:
3031:
3030:
3028:
3022:
3019:
3015:
3005:
3001:
2997:
2993:
2990:
2989:
2987:
2981:
2975:
2972:
2969:
2968:
2966:
2964:
2960:
2957:
2953:
2942:
2939:
2937:
2933:
2929:
2925:
2922:
2921:
2919:
2913:
2910:
2906:
2895:
2892:
2889:
2885:
2882:
2879:
2876:
2873:
2871:
2870:Fujitsu A64FX
2868:
2866:
2863:
2862:
2860:
2854:
2848:
2844:
2843:
2841:
2837:
2831:
2828:
2825:
2822:
2819:
2818:
2816:
2814:
2810:
2804:
2800:
2798:
2794:
2791:
2790:Google Tensor
2788:
2787:
2785:
2783:
2779:
2773:
2769:
2765:
2763:
2759:
2755:
2751:
2747:
2743:
2739:
2737:
2733:
2729:
2725:
2721:
2717:
2714:
2713:
2711:
2709:
2705:
2699:
2695:
2691:
2689:
2685:
2683:
2679:
2675:
2671:
2669:
2665:
2664:
2662:
2660:
2656:
2650:
2646:
2644:
2640:
2638:
2634:
2630:
2626:
2622:
2618:
2616:
2612:
2610:
2606:
2602:
2598:
2594:
2590:
2586:
2584:
2580:
2576:
2572:
2570:
2569:Google Tensor
2567:
2566:
2564:
2562:
2558:
2552:
2548:
2544:
2542:
2538:
2537:MT6769H/T/V/Z
2534:
2532:
2528:
2526:
2522:
2518:
2514:
2510:
2509:
2507:
2505:
2501:
2495:
2491:
2489:
2485:
2484:
2482:
2480:
2476:
2473:
2469:
2459:
2455:
2454:
2452:
2446:
2443:
2439:
2428:
2425:
2423:
2419:
2415:
2412:
2408:
2404:
2400:
2397:
2394:
2392:
2388:
2386:
2383:
2382:Applied Micro
2380:
2378:
2374:
2370:
2366:
2362:
2358:
2354:
2351:
2348:
2345:
2342:
2341:
2339:
2333:
2327:
2324:
2323:
2321:
2317:
2311:
2307:
2305:
2301:
2297:
2293:
2291:
2287:
2283:
2279:
2277:
2273:
2271:
2267:
2263:
2259:
2255:
2254:
2252:
2250:
2246:
2240:
2236:
2235:QorIQ LS1028A
2232:
2231:QorIQ LX2160A
2228:
2227:QorIQ LS1046A
2224:
2220:
2218:
2214:
2212:
2208:
2206:
2202:
2200:
2196:
2192:
2190:
2186:
2182:
2180:
2176:
2174:
2171:
2168:
2167:
2165:
2163:
2159:
2153:
2149:
2147:
2143:
2141:
2137:
2135:
2131:
2127:
2125:
2121:
2119:
2115:
2114:
2112:
2110:
2106:
2100:
2096:
2094:
2090:
2087:
2084:
2082:
2081:Sitara AM6xxx
2078:
2076:
2072:
2070:
2066:
2063:
2061:
2057:
2056:429, 439, 450
2053:
2049:
2048:410, 412, 415
2045:
2042:
2038:
2036:
2032:
2028:
2024:
2022:
2018:
2014:
2010:
2006:
2002:
1998:
1994:
1990:
1989:
1983:
1982:
1976:
1973:
1970:
1968:
1964:
1960:
1956:
1953:
1950:
1948:
1944:
1942:
1941:
1935:
1932:
1930:
1926:
1924:
1920:
1919:
1917:
1915:
1911:
1905:
1901:
1899:
1895:
1893:
1889:
1888:
1886:
1884:
1880:
1877:
1873:
1870:
1862:
1848:
1845:
1844:
1842:
1838:
1835:
1831:
1820:
1816:
1812:
1808:
1805:
1802:
1799:
1797:
1793:
1789:
1785:
1781:
1777:
1774:
1771:
1770:
1768:
1762:
1756:
1753:
1752:
1750:
1746:
1740:
1736:
1734:
1730:
1728:
1724:
1723:
1721:
1719:
1715:
1709:
1708:Sitara AM5xxx
1705:
1702:
1698:
1696:
1695:
1691:
1685:
1682:
1679:
1677:
1673:
1669:
1667:
1663:
1661:
1657:
1655:
1651:
1650:
1648:
1646:
1642:
1636:
1632:
1630:
1626:
1624:
1620:
1618:
1617:Sitara AM4xxx
1614:
1612:
1608:
1606:
1602:
1600:
1596:
1594:
1593:
1589:
1583:
1581:
1580:
1576:
1572:
1566:
1563:
1560:
1558:
1554:
1552:
1548:
1544:
1540:
1536:
1533:
1530:
1527:
1525:
1521:
1519:
1515:
1513:
1509:
1505:
1503:
1499:
1497:
1493:
1491:
1487:
1484:
1481:
1479:
1478:
1472:
1469:
1467:
1466:
1462:
1456:
1455:
1453:
1451:
1447:
1441:
1437:
1435:
1431:
1429:
1428:Sitara AM3xxx
1425:
1423:
1419:
1417:
1413:
1411:
1407:
1405:
1401:
1399:
1396:
1393:
1391:
1387:
1386:
1384:
1382:
1378:
1372:
1368:
1365:
1361:
1358:
1355:
1352:
1350:
1346:
1344:
1340:
1338:
1334:
1330:
1326:
1324:
1320:
1319:
1317:
1315:
1311:
1305:
1301:
1299:RDA RDA8810PL
1298:
1296:
1292:
1289:
1285:
1283:
1279:
1277:
1273:
1271:
1270:
1264:
1262:
1258:
1257:
1255:
1253:
1249:
1246:
1242:
1239:
1231:
1225:
1222:
1220:
1217:
1215:
1212:
1210:
1207:
1205:
1202:
1200:
1197:
1195:
1192:
1190:
1187:
1186:
1183:
1174:
1169:
1167:
1162:
1160:
1155:
1154:
1151:
1140:
1134:
1131:
1116:
1110:
1108:
1104:
1093:
1087:
1085:
1083:
1079:
1074:
1068:
1065:
1054:
1050:
1043:
1040:
1028:
1024:
1018:
1015:
1012:
1007:
1004:
993:
989:
982:
979:
967:
963:
957:
954:
943:
939:
932:
929:
917:
913:
907:
904:
893:
889:
882:
880:
876:
864:
863:WikiChip Fuse
860:
854:
851:
840:
836:
829:
826:
815:
811:
804:
801:
796:
790:
788:
786:
784:
780:
768:
764:
758:
755:
744:
740:
734:
731:
718:
712:
709:
697:
691:
688:
677:
673:
672:"Neoverse V2"
667:
664:
659:
653:
650:
638:
634:
628:
625:
620:
614:
611:
600:
594:
592:
588:
577:
576:"Neoverse V1"
571:
568:
563:
557:
554:
549:
543:
540:
535:
529:
526:
521:
515:
512:
505:
503:
496:
489:
486:
483:
480:
477:
476:
472:
469:
466:
463:
460:
459:
455:
452:
449:
446:
443:
442:
438:
435:
432:
429:
426:
425:
421:
418:
415:
412:
409:
408:
405:
402:
400:
397:
395:
392:
389:
387:
386:
377:
375:
373:
369:
365:
357:
355:
349:
347:
345:
337:
335:
333:
325:
323:
321:
317:
313:
305:
300:
297:
294:
291:
288:
285:
282:
279:
278:
277:
274:
271:
267:
259:
257:
255:
254:AWS Graviton2
251:
246:
240:
237:
234:
230:
226:
225:
224:
221:
219:
215:
211:
203:
201:
199:
191:
189:
187:
183:
179:
175:
171:
167:
159:
152:
149:
146:
145:
143:
140:
137:
134:
131:
128:
125:
122:
119:
118:
117:
114:
112:
108:
107:AWS Graviton4
104:
103:ARM Cortex-X3
100:
92:
90:
88:
87:AWS Graviton3
84:
81:According to
79:
77:
73:
69:
61:
59:
57:
49:
47:
45:
41:
37:
33:
19:
3378:Nvidia Grace
3375:Google Axion
3250:8300 (Ultra)
3149:8300 (Ultra)
2884:Tegra Xavier
2877:TaiShan v110
2601:765(G), 768G
2223:QorIQ LS2088
2195:MT6797/D/T/X
2124:QorIQ LS20xx
1987:
1980:
1939:
1693:
1689:
1623:WM88x0, 89x0
1597:ST-Ericsson
1591:
1587:
1586:Exynos 4 421
1578:
1574:
1570:
1476:
1464:
1460:
1333:QorIQ LS10xx
1268:
1219:ARM Cortex-M
1214:ARM Cortex-R
1209:ARM Cortex-A
1133:
1122:. Retrieved
1095:. Retrieved
1067:
1056:. Retrieved
1052:
1042:
1031:. Retrieved
1029:. 2023-08-18
1026:
1017:
1006:
995:. Retrieved
991:
981:
970:. Retrieved
968:. 2023-09-13
965:
956:
945:. Retrieved
941:
931:
920:. Retrieved
918:. 2023-08-28
915:
906:
895:. Retrieved
891:
867:. Retrieved
865:. 2019-02-20
862:
853:
842:. Retrieved
838:
828:
817:. Retrieved
814:ServeTheHome
813:
803:
771:. Retrieved
769:. 2023-09-11
766:
757:
746:. Retrieved
742:
733:
721:. Retrieved
711:
700:. Retrieved
690:
679:. Retrieved
675:
666:
652:
641:. Retrieved
639:. 2022-05-29
636:
627:
613:
602:. Retrieved
579:. Retrieved
570:
556:
542:
528:
514:
500:
444:Neoverse V1
427:Neoverse N2
410:Neoverse N1
361:
353:
341:
329:
309:
298:SVE2 support
275:
265:
263:
250:Ampere Altra
247:
244:
222:
213:
212:(code named
207:
195:
185:
181:
165:
163:
115:
98:
96:
82:
80:
67:
65:
53:
32:Arm Holdings
29:
3518:Neoverse V3
3506:Neoverse N3
3496:Exynos 2400
3458:Exynos 2400
3430:Cortex-A720
3420:Exynos 2400
3398:Cortex-A520
3362:Neoverse V2
3337:Neoverse N2
3299:Exynos 2200
3234:Cortex-A715
3224:Exynos 2200
3210:7s/7+ Gen 2
3191:Cortex-A710
3181:Exynos 2200
3163:7s/7+ Gen 2
3133:Cortex-A510
2963:Neoverse V1
2847:Neoverse E1
2813:Neoverse N1
2803:Exynos 2100
2792:, Tensor G2
2615:SQ1 and SQ2
2266:6s 4G Gen 1
2189:Kunpeng 916
1864:Application
1688:Exynos 5 52
1233:Application
723:23 December
350:Neoverse E2
338:Neoverse E1
270:Cortex-A710
260:Neoverse N2
204:Neoverse N1
160:Neoverse V3
93:Neoverse V2
62:Neoverse V1
3531:compatible
3353:Cobalt 100
3347:YiTian 710
3293:8(+) Gen 1
3214:8(+) Gen 1
3171:8(+) Gen 1
3104:compatible
3059:compatible
3026:compatible
2985:compatible
2917:compatible
2858:compatible
2708:Cortex-A78
2694:Exynos 880
2688:Kirin 9000
2686:HiSilicon
2659:Cortex-A77
2643:Exynos 990
2613:Microsoft
2573:HiSilicon
2561:Cortex-A76
2504:Cortex-A75
2488:Exynos 850
2479:Cortex-A55
2450:compatible
2337:compatible
2326:Cortex-A34
2280:HiSilicon
2249:Cortex-A73
2183:HiSilicon
2162:Cortex-A72
2150:HiSilicon
2109:Cortex-A57
2041:Snapdragon
1957:HiSilicon
1954:TILE-Mx100
1927:Allwinner
1914:Cortex-A53
1883:Cortex-A35
1866:processors
1847:Cortex-A32
1811:Snapdragon
1766:compatible
1755:Cortex-A12
1718:Cortex-A17
1658:HiSilicon
1652:Allwinner
1645:Cortex-A15
1603:Telechips
1506:HiSilicon
1500:Freescale
1402:Freescale
1388:Allwinner
1364:Snapdragon
1321:Allwinner
1302:Telechips
1288:Snapdragon
1235:processors
1124:2023-04-13
1097:2023-04-16
1058:2023-09-16
1033:2023-09-16
997:2023-09-16
972:2023-09-16
947:2023-09-16
936:Ltd, Arm.
922:2023-09-16
897:2022-05-05
869:2020-06-17
844:2020-06-17
819:2024-02-02
773:2023-09-16
748:2024-04-10
702:2023-04-16
681:2023-09-16
643:2023-09-16
604:2023-04-16
581:2023-04-16
506:References
497:Successors
218:Cortex-A76
198:datacenter
36:datacenter
3529:ARMv9.2-A
3484:Qualcomm
3478:MediaTek
3468:Cortex-X4
3446:Qualcomm
3440:MediaTek
3408:Qualcomm
3390:ARMv9.2-A
3371:Graviton4
3325:Qualcomm
3319:MediaTek
3309:Cortex-X3
3287:Qualcomm
3281:MediaTek
3274:Cortex-X2
3258:Qualcomm
3244:MediaTek
3204:Qualcomm
3198:MediaTek
3157:Qualcomm
3143:MediaTek
3125:ARMv9.0-A
3110:Qualcomm
3102:ARMv8.7-A
3095:ARMv8.7-A
3066:Apple A15
3057:ARMv8.6-A
3050:ARMv8.6-A
3033:Apple A14
3024:ARMv8.5-A
3017:ARMv8.5-A
2992:Apple A13
2983:ARMv8.4-A
2974:Graviton3
2955:ARMv8.4-A
2943:ThunderX3
2928:A12X/A12Z
2924:Apple A12
2915:ARMv8.3-A
2908:ARMv8.3-A
2875:HiSilicon
2865:Apple A11
2856:ARMv8.2-A
2830:Graviton2
2795:Qualcomm
2782:Cortex-X1
2740:Qualcomm
2718:MediaTek
2672:Qualcomm
2666:MediaTek
2619:MediaTek
2587:Qualcomm
2535:MediaTek
2511:Qualcomm
2471:ARMv8.2-A
2458:ThunderX2
2448:ARMv8.1-A
2441:ARMv8.1-A
2416:Qualcomm
2294:MediaTek
2282:Kirin 710
2256:Qualcomm
2215:Rockchip
2209:Qualcomm
2193:MediaTek
2177:Broadcom
2138:Qualcomm
2067:Rockchip
2039:Qualcomm
1977:MediaTek
1959:Kirin 620
1945:Broadcom
1902:Rockchip
1896:MediaTek
1809:Qualcomm
1737:Rockchip
1725:MediaTek
1664:MediaTek
1629:Zynq-7000
1567:Rockchip
1522:Leadcore
1494:Broadcom
1450:Cortex-A9
1408:Rockchip
1381:Cortex-A8
1362:Qualcomm
1347:Leadcore
1341:Broadcom
1314:Cortex-A7
1286:Qualcomm
1252:Cortex-A5
368:PCIe gen6
316:PCIe gen6
227:Coherent
174:PCIe gen6
72:Cortex-X1
3557:Category
3536:Apple M4
3494:Samsung
3456:Samsung
3418:Samsung
3297:Samsung
3222:Samsung
3179:Samsung
2801:Samsung
2766:Samsung
2692:Samsung
2641:Samsung
2593:675, 678
2579:980, 985
2529:Samsung
2517:710, 712
2486:Samsung
2407:Tegra X2
2399:Tegra K1
2391:ThunderX
2308:Amlogic
2296:MT6771/V
2274:Samsung
2173:Graviton
2144:Samsung
2134:Tegra X2
2130:Tegra X1
2073:Samsung
2025:NXP ARM
1967:930, 935
1936:Amlogic
1921:Actions
1868:(64-bit)
1815:Scorpion
1686:Samsung
1683:R-Car H2
1666:MT8135/V
1633:ZiiLABS
1599:NovaThor
1584:Samsung
1555:Nufront
1518:iMAPx912
1473:Amlogic
1463:, ATM703
1457:Actions
1438:ZiiLABS
1414:Samsung
1265:Amlogic
1259:Actions
1237:(32-bit)
698:. NVIDIA
182:Poseidon
166:Poseidon
3345:Alibaba
3264:8 Gen 2
3218:8 Gen 2
3175:8 Gen 2
3167:7 Gen 3
2941:Marvell
2746:4 Gen 2
2647:UNISOC
2545:UNISOC
2492:UNISOC
2456:Cavium
2411:Denver2
2389:Cavium
2335:ARMv8-A
2179:BCM2711
2128:Nvidia
2097:Xilinx
2089:SC9820E
2005:MT6763T
1993:MT6761V
1972:Marvell
1947:BCM2837
1875:ARMv8-A
1833:ARMv8-A
1804:Marvell
1764:ARMv7-A
1681:Renesas
1672:Tegra 4
1670:Nvidia
1627:Xilinx
1605:TCC8803
1562:Renesas
1537:Nvidia
1529:Marvell
1516:InfoTM
1354:Marvell
1337:i.MX6UL
1304:TCC892x
1291:S4 Play
1280:InfoTM
1276:SAMA5D3
1261:ATM702x
1244:ARMv7-A
1120:. Intel
372:CXL 3.0
320:CXL 3.0
266:Perseus
233:D-cache
229:I-cache
200:usage.
178:CXL 3.0
99:Demeter
2888:Carmel
2881:Nvidia
2839:Others
2821:Ampere
2762:888(+)
2637:MT8192
2422:Falkor
2403:Denver
2396:Nvidia
2385:X-Gene
2344:Ampere
2319:Others
2300:MT6799
2217:RK3399
2203:MStar
2099:ZynqMP
2086:UNISOC
2035:i.MX8M
2017:MT6795
2009:MT6765
1997:MT6762
1952:EZchip
1904:RK3308
1892:i.MX8X
1840:Others
1748:Others
1739:RK3288
1731:MStar
1701:OMAP 5
1611:OMAP 4
1577:, RK31
1573:, RK30
1459:ATM702
1440:ZMS-08
1422:OMAP 3
1410:RK291x
1335:, NXP
1274:Atmel
370:, and
318:, and
176:, and
111:Google
85:, the
42:, and
3112:Oryon
2350:Apple
2310:S922X
2239:i.MX8
2205:6A938
1986:MT675
1979:MT673
1819:Krait
1773:Apple
1733:6A928
1590:, 441
1569:RK292
1539:Tegra
1512:910's
1502:i.MX6
1483:Apple
1434:DM38x
1404:i.MX5
1395:Apple
1329:i.MX7
1118:(PDF)
719:. AWS
484:1024
481:2048
390:INT8
3369:AWS
3254:9200
2772:2100
2678:750G
2551:T740
2418:Kryo
2377:A10X
2346:eMAG
2221:NXP
2132:and
2122:NXP
2116:AMD
1890:NXP
1692:, 54
1660:K3V3
1508:K3V2
1327:NXP
725:2023
464:256
450:128
447:256
430:128
404:FP64
399:FP32
394:BF16
364:DDR5
312:DDR5
248:The
231:and
214:Ares
186:Zeus
170:DDR5
109:and
76:TSMC
68:Zeus
3074:A17
3070:A16
2971:AWS
2827:AWS
2750:695
2698:980
2583:990
2525:850
2521:845
2405:),
2373:A10
2369:A9X
2361:A8X
2290:970
2286:960
2270:835
2170:AWS
2044:215
2027:S32
2013:G/H
1806:P4J
1788:S1P
1780:A6X
1654:A80
1490:A5X
1390:A1x
1371:400
1367:200
1295:200
1189:Arm
490:32
487:64
473:32
470:64
456:16
453:32
436:16
433:64
419:16
416:32
413:64
344:SMT
3559::
3488:,
3450:,
3412:,
3291:,
3262:,
3252:,
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3208:,
3173:,
3169:,
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3151:,
3147:,
3082:M3
3080:,
3078:M2
3076:,
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3068:,
3037:M1
3035:,
3004:S8
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3000:S7
2998:,
2996:S6
2994:,
2936:S5
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2932:S4
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