iPhone 16 Pro Max
Geekbench AI Score
4208
Single Precision Score
7319
Half Precision Score
5798
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Nxb |
| Upload Date | August 28 2025 12:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2017
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3383
629.1 IPS |
|
|
Image Classification (Q)
|
96% |
2257
421.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2744
44.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7455
8.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
15259
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12913
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2152
170.7 IPS |
|
|
Object Detection (HP)
|
97% |
3616
287.9 IPS |
|
|
Object Detection (Q)
|
94% |
2477
197.5 IPS |
|
|
Face Detection (SP)
|
100% |
3587
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
6954
82.6 IPS |
|
|
Face Detection (Q)
|
100% |
3884
46.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7618
58.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13074
101.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9027
70.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18243
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32262
41.5 IPS |
|
|
Style Transfer (Q)
|
96% |
28639
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7113
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4725
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5957
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5917
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4075
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6929
119.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6985
120.7 IPS |
