iPhone 16 Pro
Geekbench AI Score
4725
Single Precision Score
7903
Half Precision Score
6315
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 12:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2060
383.1 IPS |
|
|
Image Classification (HP)
|
100% |
3474
646.1 IPS |
|
|
Image Classification (Q)
|
96% |
2328
434.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1872
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2852
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3316
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9425
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18612
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15457
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2344
186.0 IPS |
|
|
Object Detection (HP)
|
97% |
3770
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
7351
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
4193
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8320
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13871
107.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9806
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23154
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37948
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30974
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5694
210.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7254
267.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5138
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6096
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7952
137.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7986
138.0 IPS |
