iPhone 16 Pro Max
Geekbench AI Score
6549
Single Precision Score
7703
Half Precision Score
7321
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:49 PM |
| Views | 6 |
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% |
3244
603.2 IPS |
|
|
Image Classification (HP)
|
100% |
3400
632.3 IPS |
|
|
Image Classification (Q)
|
96% |
3252
607.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4339
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4936
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4781
77.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14909
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18241
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17430
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
3244
257.3 IPS |
|
|
Object Detection (HP)
|
100% |
3687
292.5 IPS |
|
|
Object Detection (Q)
|
91% |
3768
301.2 IPS |
|
|
Face Detection (SP)
|
100% |
7395
87.9 IPS |
|
|
Face Detection (HP)
|
100% |
11174
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
10757
127.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12798
98.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
15592
120.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14489
113.4 IPS |
|
|
Style Transfer (SP)
|
100% |
32317
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40658
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38420
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7619
281.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8388
309.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6855
253.1 IPS |
|
|
Text Classification (SP)
|
100% |
3695
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6135
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1790
30.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1732
29.9 IPS |
