Apple A18 vs Marvell PXA986 vs unknown
Marvell PXA986 ► remove from comparison
Der Marvell PXA986 ist ein ARM basierter Dual-Core SoC für Smartphones und Tablets. Er bietet zwei Cortex-A9 Kerne mit meist 1.2 GHz Takt, eine Vivante GC1000 Grafikkarte, einen Video-Prozessor für 720p30 Wiedergabe von H.263, H.264 BP und MPEG4- SP und ein WCDMA+HSDPA Modem.
Model Apple A18 Marvell PXA986 unknown Series Apple Marvell Technology Group Serie: Clock <=3800 MHz 1200 MHz Cores / Threads 6 / 6 2 x Apple A18 P-Core 4 x 3.8 GHz Apple A18 E-Core 2 / 2 TDP Turbo PL2 10 Watt Technology 3 nm 45 nm Features 16-core Neural Engine, USB 2.0 (480 Mbps) Architecture ARM ARM x86 Announced Codename Cortex-A9 Manufacturer www.marvell.com
Benchmarks Cinebench R15 - Cinebench R15 CPU Multi 64 Bit
min: 1029 avg: 1038 median: 1038 (7%) max: 1047 Points
Modell CPU GPU RAM Wert Apple MacBook Pro 15 2019 i7 555X unknown unknown Win10 1029 Apple MacBook Pro 15 2019 i7 555X unknown unknown macOS 1047
3DMark - 3DMark Ice Storm Physics
min: 2623 avg: 2874 median: 2740 (2%) max: 3258 Points
3DMark - 3DMark Ice Storm Extreme Physics
min: 2709 avg: 2985 median: 2985 (2%) max: 3261 Points
3DMark - 3DMark Ice Storm Unlimited Physics
3675 Points (3%)
37732 Points (32%)
Modell CPU GPU RAM Wert Apple MacBook Pro 15 2019 i7 555X unknown unknown 37732
3DMark - 3DMark Cloud Gate Physics
8923 Points (23%)
Modell CPU GPU RAM Wert Apple MacBook Pro 15 2019 i7 555X unknown unknown 8923
3DMark - 3DMark Time Spy CPU
5039 Points (21%)
Modell CPU GPU RAM Wert Apple MacBook Pro 15 2019 i7 555X unknown unknown 5039
Geekbench 6.2 - Geekbench 6.2 Single-Core
3149 Points (85%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU 8 GB 3149
Geekbench 6.2 - Geekbench 6.2 Multi-Core
7663 Points (30%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU 8 GB 7663
Geekbench 5.5 - Geekbench 5.1 - 5.5 64 Bit Single-Core
2327 Points (92%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU 8 GB 2327
Geekbench 5.5 - Geekbench 5.1 - 5.5 64 Bit Multi-Core
6130 Points (11%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU 8 GB 6130
Geekbench 3 - Geekbench 3 32 Bit Multi-Core
min: 631 avg: 647 median: 646.5 (1%) max: 662 Points
Geekbench 3 - Geekbench 3 32 Bit Single-Core
min: 376 avg: 379.5 median: 379.5 (7%) max: 383 Points
Geekbench 2 - 32 Bit - Geekbench Stream
min: 437 avg: 439.5 median: 439.5 (4%) max: 442 Points
Geekbench 2 - 32 Bit - Geekbench Memory
min: 1337 avg: 1448 median: 1448 (13%) max: 1559 Points
Geekbench 2 - 32 Bit - Geekbench Floating Point
min: 1275 avg: 1284 median: 1284 (3%) max: 1293 Points
Geekbench 2 - 32 Bit - Geekbench Integer
min: 709 avg: 720 median: 720 (1%) max: 731 Points
Geekbench 2 - 32 Bit - Geekbench Total Score
min: 1005 avg: 1035 median: 1034.5 (3%) max: 1064 Points
Linpack Android / IOS - Linpack Multi Thread
min: 73.7 avg: 74.3 median: 74 (3%) max: 75.3 MFLOPS
13 MFLOPS (0%)
Modell CPU GPU RAM Wert Archos Arnova 10 unknown unknown 12.95
Linpack Android / IOS - Linpack Single Thread
min: 39.83 avg: 41.6 median: 41.4 (4%) max: 43.69 MFLOPS
12.8 MFLOPS (1%)
Modell CPU GPU RAM Wert Archos Arnova 10 unknown unknown 12.8
Mozilla Kraken 1.1 - Kraken 1.1 Total Score *
290.2 ms (0%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU Safari 18 8 GB 290.2
min: 23941 avg: 25315 median: 25315 (30%) max: 26689 ms
14953 ms (17%)
Sunspider - Sunspider 1.0 Total Score *
min: 1428 avg: 1608 median: 1624 (18%) max: 1771 ms
Sunspider - Sunspider 0.9.1 Total Score *
min: 1453 avg: 1531 median: 1530.5 (15%) max: 1608 ms
7004 ms (66%)
Modell CPU GPU RAM Wert Archos Arnova 10 unknown unknown 7004
Octane V2 - Octane V2 Total Score
90158 Points (79%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU Safari 18 8 GB 90158
1448 Points (1%)
min: 2672 avg: 2713 median: 2712.5 (2%) max: 2753 Points
WebXPRT 4 - WebXPRT 4 Score
263 Points (76%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU Safari 18 8 GB 263
Quadrant Standard Edition 2.0 - Quadrant Standard 2.0 Total Score
min: 3257 avg: 3515 median: 3514.5 (8%) max: 3772 points
AnTuTu v3 - AnTuTu v3 CPU
2945 Points (19%)
AnTuTu v4 - AnTuTu v4 Total Score
min: 11051 avg: 11392 median: 11392 (26%) max: 11733 Points
AndEBench - AndEBench Java
min: 137 avg: 160 median: 159 (5%) max: 184 Iter./s
AndEBench - AndEBench Native
min: 4077 avg: 4208 median: 4266 (14%) max: 4281 Iter./s
PassMark PerformanceTest Mobile V1 - PerformanceTest Mobile V1 CPU Tests
12600 Points (2%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU 8 GB 12600
min: 3273 avg: 3820 median: 3976 (1%) max: 4210 Points
CrossMark - CrossMark Overall
1407 Points (54%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU 8 GB 1407
Power Consumption - Geekbench 5.5 Power Consumption 150cd *
4.9 Watt (2%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU 8 GB 4.91
Power Consumption - Idle Power Consumption 150cd 1min *
0.9 Watt (1%)
Modell CPU GPU RAM Wert Apple iPhone 16 Plus A18 A18 GPU 8 GB 0.873
Average Benchmarks Apple A18 → 100% n=2 Average Benchmarks Marvell PXA986 → 1% n=2 Average Benchmarks unknown → 2% n=2
- Bereich der Benchmarkergebnisse für diese Grafikkarte
- Durchschnittliche Benchmarkergebnisse für diese Grafikkarte
* Smaller numbers mean a higher performance
1 This benchmark is not used for the average calculation
v1.28
log 28. 10:19:10
#0 ran 0s before starting gpusingle class +0s ... 0s
#1 checking url part for id 18007 +0s ... 0s
#2 checking url part for id 4461 +0s ... 0s
#3 checking url part for id 1859 +0s ... 0s
#4 redirected to Ajax server, took 1727511550s time from redirect:0 +0s ... 0s
#5 did not recreate cache, as it is less than 5 days old! Created at Sat, 28 Sep 2024 05:16:31 +0200 +0s ... 0s
#6 composed specs +0.002s ... 0.002s
#7 did output specs +0s ... 0.002s
#8 getting avg benchmarks for device 18007 +0s ... 0.003s
#9 got single benchmarks 18007 +0s ... 0.003s
#10 getting avg benchmarks for device 4461 +0s ... 0.003s
#11 got single benchmarks 4461 +0s ... 0.004s
#12 getting avg benchmarks for device 1859 +0.001s ... 0.004s
#13 got single benchmarks 1859 +0.139s ... 0.144s
#14 got avg benchmarks for devices +0s ... 0.144s
#15 min, max, avg, median took s +0.013s ... 0.157s
#16 return log +0s ... 0.157s
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Autor: Klaus Hinum, 8.09.2017 (Update: 1.07.2023)