iPhone 16 Pro Max
Geekbench AI Score
5994
Single Precision Score
7136
Half Precision Score
6673
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 03:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
3025
562.5 IPS |
|
|
Image Classification (HP)
|
100% |
2867
533.1 IPS |
|
|
Image Classification (Q)
|
96% |
3186
594.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4249
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4878
79.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4711
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15006
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18008
21.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
17278
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3299
261.7 IPS |
|
|
Object Detection (HP)
|
100% |
3717
294.8 IPS |
|
|
Object Detection (Q)
|
92% |
3127
249.6 IPS |
|
|
Face Detection (SP)
|
100% |
7126
84.7 IPS |
|
|
Face Detection (HP)
|
100% |
10323
122.7 IPS |
|
|
Face Detection (Q)
|
100% |
8040
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12803
98.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15279
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13837
108.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31039
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39095
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37392
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7418
273.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8186
302.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6973
257.5 IPS |
|
|
Text Classification (SP)
|
100% |
3694
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6149
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6117
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1214
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1218
21.1 IPS |
