iPhone 16 Pro
Geekbench AI Score
4639
Single Precision Score
7778
Half Precision Score
6227
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2046
380.5 IPS |
|
|
Image Classification (HP)
|
100% |
3434
638.6 IPS |
|
|
Image Classification (Q)
|
96% |
2324
433.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2792
45.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3306
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9149
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17685
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14941
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.2 IPS |
|
|
Object Detection (HP)
|
97% |
3755
298.9 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7138
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
4103
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8119
62.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13788
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9641
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22134
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37274
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30375
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5581
206.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7110
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5160
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
6298
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6074
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
4160
71.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7753
134.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7713
133.3 IPS |
