iPhone18,2
Geekbench AI Score
5082
Single Precision Score
8201
Half Precision Score
6576
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mcx |
| Upload Date | November 02 2025 12:36 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% |
2324
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3002
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10555
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19023
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15987
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2596
205.9 IPS |
|
|
Object Detection (HP)
|
97% |
4139
329.5 IPS |
|
|
Object Detection (Q)
|
94% |
2832
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
4530
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8398
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4355
51.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14053
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9963
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24308
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37255
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30848
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5464
201.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6760
249.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4898
180.9 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5984
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6344
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8889
153.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9446
163.2 IPS |
