iPhone18,2
Geekbench AI Score
2157
Single Precision Score
3454
Half Precision Score
2681
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:33 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
926
172.3 IPS |
|
|
Image Classification (HP)
|
100% |
1446
269.0 IPS |
|
|
Image Classification (Q)
|
96% |
947
176.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1381
22.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4482
5.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
8097
9.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
6898
8.09 IPS |
|
|
Object Detection (SP)
|
100% |
1097
87.0 IPS |
|
|
Object Detection (HP)
|
97% |
1692
134.7 IPS |
|
|
Object Detection (Q)
|
94% |
1122
89.4 IPS |
|
|
Face Detection (SP)
|
100% |
1770
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
1746
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3704
28.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
6049
46.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4155
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10464
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15857
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12929
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2466
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2981
110.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2084
77.0 IPS |
|
|
Text Classification (SP)
|
100% |
1383
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2519
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2509
3.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2132
36.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3854
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3866
66.8 IPS |
