iPhone18,2
Geekbench AI Score
5107
Single Precision Score
8366
Half Precision Score
6577
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | s11mac |
| Upload Date | October 15 2025 04:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
3750
697.4 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2993
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3415
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10172
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19081
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16088
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2619
207.7 IPS |
|
|
Object Detection (HP)
|
97% |
4217
335.7 IPS |
|
|
Object Detection (Q)
|
94% |
2857
227.7 IPS |
|
|
Face Detection (SP)
|
100% |
4600
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8406
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4361
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8475
65.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14195
109.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10083
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24621
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38821
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31697
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5701
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6976
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4966
183.4 IPS |
|
|
Text Classification (SP)
|
100% |
3255
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5977
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5214
89.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9420
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9422
162.8 IPS |
