iPhone 16 Pro Max
Geekbench AI Score
5984
Single Precision Score
7130
Half Precision Score
6772
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 03 2026 02:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2918
542.7 IPS |
|
|
Image Classification (HP)
|
100% |
2627
488.6 IPS |
|
|
Image Classification (Q)
|
94% |
3043
568.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4214
68.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4894
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4719
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14756
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17821
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17343
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
3149
249.8 IPS |
|
|
Object Detection (HP)
|
100% |
3575
283.6 IPS |
|
|
Object Detection (Q)
|
90% |
3287
262.8 IPS |
|
|
Face Detection (SP)
|
100% |
7526
89.4 IPS |
|
|
Face Detection (HP)
|
100% |
11319
134.5 IPS |
|
|
Face Detection (Q)
|
100% |
8887
105.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13355
102.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15926
122.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
14089
110.2 IPS |
|
|
Style Transfer (SP)
|
100% |
31150
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
40124
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39250
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7328
270.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7871
290.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6872
253.7 IPS |
|
|
Text Classification (SP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
6267
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1226
21.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1208
20.9 IPS |
