iPhone 16 Pro Max
Geekbench AI Score
5910
Single Precision Score
7081
Half Precision Score
6619
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 05:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2941
547.0 IPS |
|
|
Image Classification (HP)
|
100% |
2939
546.5 IPS |
|
|
Image Classification (Q)
|
96% |
3016
563.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4303
69.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4883
79.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4712
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14962
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18027
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17136
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3043
241.4 IPS |
|
|
Object Detection (HP)
|
100% |
3333
264.4 IPS |
|
|
Object Detection (Q)
|
92% |
3147
251.2 IPS |
|
|
Face Detection (SP)
|
100% |
7015
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
10352
123.0 IPS |
|
|
Face Detection (Q)
|
100% |
7812
92.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12849
99.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14973
115.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13827
108.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31121
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39033
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38406
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7422
274.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8003
295.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6866
253.5 IPS |
|
|
Text Classification (SP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6139
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6094
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1237
21.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1214
21.0 IPS |
