iPhone18,2
Geekbench AI Score
2844
Single Precision Score
4728
Half Precision Score
3736
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 04:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
2044
380.1 IPS |
|
|
Image Classification (Q)
|
96% |
1302
243.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1275
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1965
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6218
7.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
11194
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9529
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1473
116.9 IPS |
|
|
Object Detection (HP)
|
97% |
2313
184.2 IPS |
|
|
Object Detection (Q)
|
94% |
1484
118.3 IPS |
|
|
Face Detection (SP)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
4542
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
2341
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5005
38.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
8251
63.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
5698
44.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11160
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21905
28.2 IPS |
|
|
Style Transfer (Q)
|
96% |
17878
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3387
125.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2918
107.7 IPS |
|
|
Text Classification (SP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (HP)
|
99% |
3702
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3704
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2798
48.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4910
84.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5690
98.3 IPS |
