iPhone 16 Pro Max
Geekbench AI Score
6120
Single Precision Score
7145
Half Precision Score
6834
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | September 14 2025 10:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3010
559.8 IPS |
|
|
Image Classification (HP)
|
100% |
2990
556.1 IPS |
|
|
Image Classification (Q)
|
96% |
3029
565.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4454
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4970
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4792
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15799
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17210
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
17169
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3138
248.9 IPS |
|
|
Object Detection (HP)
|
100% |
3474
275.6 IPS |
|
|
Object Detection (Q)
|
92% |
3452
275.5 IPS |
|
|
Face Detection (SP)
|
100% |
7608
90.4 IPS |
|
|
Face Detection (HP)
|
100% |
10550
125.4 IPS |
|
|
Face Detection (Q)
|
100% |
8519
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
13509
104.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15553
119.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
14163
110.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32829
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38182
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
39016
50.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8113
299.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8337
307.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7632
281.8 IPS |
|
|
Text Classification (SP)
|
100% |
3433
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5998
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5948
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1182
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1209
20.9 IPS |
