iPhone18,2
Geekbench AI Score
8973
Single Precision Score
16833
Half Precision Score
17353
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 09:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.09 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4266
793.3 IPS |
|
|
Image Classification (HP)
|
100% |
8022
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7531
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6040
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9525
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10443
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20154
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53172
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57909
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8081
641.0 IPS |
|
|
Object Detection (Q)
|
93% |
8088
645.2 IPS |
|
|
Face Detection (SP)
|
100% |
11643
138.3 IPS |
|
|
Face Detection (HP)
|
100% |
23129
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17842
212.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16512
127.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35516
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38750
302.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43739
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95692
123.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119096
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10408
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18908
698.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22189
819.3 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
6331
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6279
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4933
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5914
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5860
101.3 IPS |
