iPhone 16 Pro Max
Geekbench AI Score
4115
Single Precision Score
7161
Half Precision Score
5659
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1913
355.8 IPS |
|
|
Image Classification (HP)
|
100% |
3436
639.1 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2626
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2914
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7536
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
15381
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12921
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2039
161.7 IPS |
|
|
Object Detection (HP)
|
97% |
3354
267.1 IPS |
|
|
Object Detection (Q)
|
94% |
2326
185.4 IPS |
|
|
Face Detection (SP)
|
100% |
3249
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
3619
43.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7070
54.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
12263
94.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8457
66.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18620
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33152
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
27124
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4753
175.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6902
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4740
175.0 IPS |
|
|
Text Classification (SP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (HP)
|
99% |
6509
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6425
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3744
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6813
117.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6662
115.1 IPS |
