iPhone 16 Pro
Geekbench AI Score
4665
Single Precision Score
7813
Half Precision Score
6274
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 07:57 PM |
| Views | 1 |
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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3466
644.6 IPS |
|
|
Image Classification (Q)
|
96% |
2317
432.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1831
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9308
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18463
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15644
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2323
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3715
295.8 IPS |
|
|
Object Detection (Q)
|
94% |
2650
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
3744
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7230
85.9 IPS |
|
|
Face Detection (Q)
|
100% |
4139
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8179
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13792
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9628
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22587
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37674
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31143
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5656
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7197
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5126
189.3 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6127
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6061
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7751
133.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7792
134.7 IPS |
