iPhone18,2
Geekbench AI Score
5131
Single Precision Score
8341
Half Precision Score
6612
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 12:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2318
431.0 IPS |
|
|
Image Classification (HP)
|
100% |
3705
689.0 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3051
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3412
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10814
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19189
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16559
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4139
329.5 IPS |
|
|
Object Detection (Q)
|
94% |
2872
228.9 IPS |
|
|
Face Detection (SP)
|
100% |
4607
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8539
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4540
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14116
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10071
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24495
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37422
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30867
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5594
206.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6888
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4948
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6166
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6040
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9482
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9454
163.4 IPS |
