iPhone 16 Pro Max
Geekbench AI Score
4550
Single Precision Score
7682
Half Precision Score
6159
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 10 2026 11:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1985
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
3453
642.1 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3264
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9014
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17580
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15061
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3697
294.3 IPS |
|
|
Object Detection (Q)
|
94% |
2618
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
6976
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
4034
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8052
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13666
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9534
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22050
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37591
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29046
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5476
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7102
262.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5108
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6124
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6282
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4078
70.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7299
126.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7333
126.7 IPS |
