Apple A16 Bionic vs Qualcomm Snapdragon X Elite (X1E-80-100)
SOC Specs Compare
CPU
Architecture
2x 3.46 GHz – Everest4x 2.02 GHz – Sawtooth
-
Frequency
3460 MHz
-
Cores
6
-
Instruction set
ARMv8.6-A
-
L1 cache
256 KB
-
L2 cache
0
-
Process
4 nm
-
Transistor count
16
-
TDP
8 W
-
Manufacturing
TSMC
-
Graphics
GPU name
Apple A16 GPU
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GPU frequency
1398 MHz
-
Execution units
5
-
Shading units
128
-
Memory
Memory Type
LPDDR5
-
Memory frequency
3200 MHz
-
Bus
4x 16 Bit
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Max bandwidth
51.2 Gbit/s
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AI
NPU
Neural Engine
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Multimedia (ISP)
Neural processor (NPU)
Neural Engine
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Storage type
NVMe
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Max display resolution
2796 x 1290
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Max camera resolution
1x 48MP
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Video capture
4K at 60FPS
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Video playback
4K at 60FPS
-
Video codecs
H.264, H.265, VP8, VP9, Motion JPEG
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Audio codecs
AAC, AIFF, CAF, MP3, MP4, WAV, AC-3, E-AC-3, AAX, AAX+
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Connectivity
4G support
LTE Cat. 24
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5G support
Yes
-
Download speed
Up to 7500 Mbps
-
Upload speed
Up to 3500 Mbps
-
Wi-Fi
6
-
Bluetooth
5.3
-
Navigation
GPS, GLONASS, Beidou, Galileo, QZSS
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Info
Announced
Sep 2022
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Class
Flagship
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Model number
APL1W10
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General Parameters
Release Date
-
Oct 2023
Manufacturer
-
Qualcomm
Type
-
Laptop
Instruction Set
-
ARMv8
Core Architecture
-
Snapdragon X
Processor Number
-
X1E-80-100
Integrated Graphics
-
Qualcomm Adreno X1-85
Package
Manufacturing Process
-
4 nm
Socket
-
Custom
Power Consumption
-
35 W
Max Turbo Power Consumption
-
45 W
CPU Performance
Performance Cores
-
12
Performance Core Threads
-
12
Performance Core Base Frequency
-
3.4 GHz
Performance Core Turbo Frequency
-
4 GHz
Total Core Count
-
12
Total Thread Count
-
12
Multiplier
-
34
L1 Cache
-
96 K per core
L2 Cache
-
12 MB shared
L3 Cache
-
42 MB
Unlocked Multiplier
-
No
Memory Parameters
Memory Types
-
LPDDR5x-8448
Max Memory Size
-
64 GB
Max Memory Channels
-
8
Max Memory Bandwidth
-
135 GB/s
ECC Memory Support
-
No
Graphics Card Parameters
Integrated Graphics
-
true
GPU Base Frequency
-
300 MHz
GPU Max Dynamic Frequency
-
1250 MHz
Shader Units
-
1536
Texture Units
-
96
Raster Operation Units
-
48
Execution Units
-
6
Power Consumption
-
80
AI Accelerator
NPU
-
Qualcomm Hexagon NPU
Theoretical performance
-
45 TOPS
Miscellaneous
📊 Benchmark
AnTuTu 10
1,441,069
-
Geekbench 6
2,627
2,790
Geekbench 6
6,838
14,595
FP32 (float)
1,789
-
Cinebench R23
-
1,712