iPhone 16 Pro Max
Geekbench AI Score
5914
Single Precision Score
7070
Half Precision Score
6692
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 05:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2994
556.8 IPS |
|
|
Image Classification (HP)
|
100% |
2894
538.1 IPS |
|
|
Image Classification (Q)
|
96% |
3141
586.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4288
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4893
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4721
76.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14902
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17803
20.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
17253
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
3051
242.0 IPS |
|
|
Object Detection (HP)
|
100% |
3332
264.3 IPS |
|
|
Object Detection (Q)
|
92% |
3169
253.0 IPS |
|
|
Face Detection (SP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
10404
123.6 IPS |
|
|
Face Detection (Q)
|
100% |
8121
96.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12811
98.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15104
116.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
13958
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30924
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39145
50.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38119
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7420
274.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8226
303.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7038
259.9 IPS |
|
|
Text Classification (SP)
|
100% |
3681
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6098
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6093
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1196
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1199
20.7 IPS |
