iPhone 16 Pro Max
Geekbench AI Score
4539
Single Precision Score
7669
Half Precision Score
6135
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:28 PM |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3447
641.0 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2790
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3281
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9204
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18262
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15134
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3715
295.7 IPS |
|
|
Object Detection (Q)
|
94% |
2612
208.2 IPS |
|
|
Face Detection (SP)
|
100% |
3539
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
6833
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
4016
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8055
62.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13732
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9640
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21608
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37078
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30141
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5451
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5078
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3680
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6146
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6076
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3980
68.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7067
122.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6984
120.7 IPS |
