iPhone 16 Pro
Geekbench AI Score
4710
Single Precision Score
7863
Half Precision Score
6284
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | joshblau95 |
| Upload Date | July 23 2025 07:48 AM |
| Views | 17 |
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% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3340
621.1 IPS |
|
|
Image Classification (Q)
|
96% |
2272
424.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2875
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3355
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9627
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18713
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15756
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2366
187.7 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2667
212.6 IPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7555
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4222
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8263
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14404
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9988
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20790
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37870
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30850
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5564
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7311
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5216
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5852
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5900
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7467
129.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7497
129.6 IPS |
