iPhone 16 Pro
Geekbench AI Score
4578
Single Precision Score
7810
Half Precision Score
6180
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 12:33 PM |
| Views | 1 |
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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
3392
630.8 IPS |
|
|
Image Classification (Q)
|
96% |
2265
423.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3330
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9029
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17795
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15094
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3862
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
7537
89.6 IPS |
|
|
Face Detection (Q)
|
100% |
4147
49.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8035
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14233
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9634
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19865
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37333
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30451
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5343
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7196
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5148
190.1 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6084
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5889
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4273
73.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7328
126.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7309
126.3 IPS |
