iPhone 16 Pro
Geekbench AI Score
4632
Single Precision Score
7764
Half Precision Score
6209
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Michael4u |
| Upload Date | September 16 2025 12:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
3444
640.4 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2822
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3276
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9167
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17833
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14942
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3738
297.6 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3733
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7098
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
4079
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8046
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13668
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9602
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22314
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37494
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29956
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5489
202.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7117
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5056
186.7 IPS |
|
|
Text Classification (SP)
|
100% |
3697
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6200
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6123
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4240
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7656
132.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7824
135.2 IPS |
