iPhone 16 Pro
Geekbench AI Score
4546
Single Precision Score
7589
Half Precision Score
6145
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | July 12 2025 02:06 PM |
| Views | 5 |
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% |
2071
385.1 IPS |
|
|
Image Classification (HP)
|
100% |
3380
628.5 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2838
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9133
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18077
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15226
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
97% |
3807
303.1 IPS |
|
|
Object Detection (Q)
|
94% |
2659
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3965
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7527
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4181
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8100
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13975
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9491
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18031
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36825
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29970
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5153
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7377
272.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5099
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
3443
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
6076
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6060
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4237
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5530
95.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6825
118.0 IPS |
