iPhone 16 Pro
Geekbench AI Score
4686
Single Precision Score
7941
Half Precision Score
6299
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | pheonix74 |
| Upload Date | June 25 2025 01:00 PM |
| Views | 11 |
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% |
2085
387.7 IPS |
|
|
Image Classification (HP)
|
100% |
3396
631.6 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2954
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9588
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18755
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15943
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
97% |
3822
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7636
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4268
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14395
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10055
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20842
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37892
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31221
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5648
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7416
273.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5218
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6007
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5891
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
4196
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7474
129.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7409
128.0 IPS |
