iPhone 16 Pro
Geekbench AI Score
6034
Single Precision Score
7222
Half Precision Score
6802
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 07:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2959
550.2 IPS |
|
|
Image Classification (HP)
|
100% |
2737
509.0 IPS |
|
|
Image Classification (Q)
|
96% |
3122
583.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4418
71.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5024
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4845
78.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15314
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18615
21.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
17853
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
3417
271.0 IPS |
|
|
Object Detection (HP)
|
100% |
3852
305.5 IPS |
|
|
Object Detection (Q)
|
92% |
3330
265.8 IPS |
|
|
Face Detection (SP)
|
100% |
7630
90.7 IPS |
|
|
Face Detection (HP)
|
100% |
10982
130.5 IPS |
|
|
Face Detection (Q)
|
100% |
8620
102.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13090
100.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15713
121.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
14809
115.7 IPS |
|
|
Style Transfer (SP)
|
100% |
32039
41.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40017
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39685
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7564
279.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8337
307.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7155
264.2 IPS |
|
|
Text Classification (SP)
|
100% |
3062
4.09 KIPS |
|
|
Text Classification (HP)
|
99% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5328
7.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1221
21.1 IPS |
