iPhone 16 Pro
Geekbench AI Score
4729
Single Precision Score
7851
Half Precision Score
6322
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 06:42 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3481
647.3 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3327
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9630
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18523
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15582
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3806
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
7318
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4214
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8336
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13875
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9803
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22749
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38196
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31115
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7233
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5112
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
3686
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6196
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6121
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4216
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7423
128.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7851
135.7 IPS |
