iPhone 16 Pro
Geekbench AI Score
6121
Single Precision Score
7027
Half Precision Score
6838
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 10:44 AM |
| Views | 14 |
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 |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3018
561.3 IPS |
|
|
Image Classification (HP)
|
100% |
2665
495.6 IPS |
|
|
Image Classification (Q)
|
96% |
3159
590.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4427
71.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4931
79.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4758
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15536
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17092
19.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16969
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3143
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
3424
271.6 IPS |
|
|
Object Detection (Q)
|
92% |
3298
263.2 IPS |
|
|
Face Detection (SP)
|
100% |
7765
92.3 IPS |
|
|
Face Detection (HP)
|
100% |
10748
127.7 IPS |
|
|
Face Detection (Q)
|
100% |
8658
102.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13425
103.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14923
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14022
109.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33018
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38515
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38897
50.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8067
297.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8370
309.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7612
281.1 IPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5902
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5905
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1251
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1253
21.7 IPS |
