iPhone 16 Pro
Geekbench AI Score
4674
Single Precision Score
7836
Half Precision Score
6256
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ntpudpp |
| Upload Date | November 13 2025 06:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2035
378.5 IPS |
|
|
Image Classification (HP)
|
100% |
3476
646.4 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2839
46.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3311
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9404
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18125
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15480
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2332
185.0 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2593
206.7 IPS |
|
|
Face Detection (SP)
|
100% |
3727
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7326
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4109
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8191
63.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13836
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9687
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22296
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37415
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30821
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5549
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7193
265.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5087
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
3670
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6132
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4212
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7761
134.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7848
135.6 IPS |
