iPhone 16 Pro
Geekbench AI Score
4620
Single Precision Score
7756
Half Precision Score
6170
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 20 2025 11:30 PM |
| Views | 11 |
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% |
2075
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
3473
645.9 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2814
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3302
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9149
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18038
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15024
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2280
180.8 IPS |
|
|
Object Detection (HP)
|
97% |
3722
296.3 IPS |
|
|
Object Detection (Q)
|
94% |
2583
205.9 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
7117
84.6 IPS |
|
|
Face Detection (Q)
|
100% |
4044
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8040
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13637
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9533
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21805
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36597
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29846
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5425
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7146
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.2 IPS |
|
|
Text Classification (SP)
|
100% |
3684
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6126
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6091
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4165
71.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7722
133.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7662
132.4 IPS |
