iPhone 16 Pro
Geekbench AI Score
4714
Single Precision Score
7934
Half Precision Score
6302
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | October 07 2025 12:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
3417
635.5 IPS |
|
|
Image Classification (Q)
|
96% |
2286
426.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2024
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2850
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9504
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18613
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15856
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2371
188.1 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2666
212.5 IPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7744
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4278
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8317
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14445
111.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10123
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21142
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37976
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31246
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5502
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7346
271.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
6131
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5879
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7465
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7404
127.9 IPS |
