iPhone 16 Pro Max
Geekbench AI Score
4537
Single Precision Score
7638
Half Precision Score
6157
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Higgins121 |
| Upload Date | March 21 2026 08:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1982
368.6 IPS |
|
|
Image Classification (HP)
|
100% |
3441
639.9 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2772
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9346
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18165
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15383
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
97% |
3681
293.1 IPS |
|
|
Object Detection (Q)
|
94% |
2615
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6755
80.3 IPS |
|
|
Face Detection (Q)
|
100% |
3986
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8077
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13702
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9560
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21755
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37811
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31069
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5341
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7133
263.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5101
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6221
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6270
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3980
68.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6828
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6820
117.9 IPS |
