iPhone 16 Pro Max
Geekbench AI Score
4540
Single Precision Score
7654
Half Precision Score
6114
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 01 2026 10:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2019
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3500
650.9 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2799
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3302
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9083
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17834
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14805
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
97% |
3683
293.2 IPS |
|
|
Object Detection (Q)
|
94% |
2603
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
3514
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6860
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3976
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7961
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13598
105.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9337
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21292
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35090
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29416
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7136
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5058
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6150
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6090
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4136
71.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7467
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7329
126.7 IPS |
