iPhone 16 Pro
Geekbench AI Score
4515
Single Precision Score
7636
Half Precision Score
6011
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 10:24 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2019
375.4 IPS |
|
|
Image Classification (HP)
|
100% |
3477
646.6 IPS |
|
|
Image Classification (Q)
|
96% |
2074
387.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2791
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3198
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8499
9.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
16383
19.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13949
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2250
178.5 IPS |
|
|
Object Detection (HP)
|
97% |
3747
298.3 IPS |
|
|
Object Detection (Q)
|
94% |
2562
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3619
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6947
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4009
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7891
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13487
104.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9293
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21420
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36140
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29725
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7116
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5062
186.9 IPS |
|
|
Text Classification (SP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6117
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6068
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
4148
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7677
132.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7638
132.0 IPS |
