iPhone18,2
Geekbench AI Score
5074
Single Precision Score
8236
Half Precision Score
6487
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenT7 |
| Upload Date | September 28 2025 08:04 PM |
| Views | 4 |
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 | 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% |
2314
430.4 IPS |
|
|
Image Classification (HP)
|
100% |
3677
683.8 IPS |
|
|
Image Classification (Q)
|
96% |
2448
457.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2972
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3369
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10259
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18336
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15516
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2555
202.7 IPS |
|
|
Object Detection (HP)
|
97% |
4139
329.5 IPS |
|
|
Object Detection (Q)
|
94% |
2803
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
4464
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
8281
98.4 IPS |
|
|
Face Detection (Q)
|
100% |
4285
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8320
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13993
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9748
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24495
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36927
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30843
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6838
252.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4914
181.5 IPS |
|
|
Text Classification (SP)
|
100% |
3529
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6362
8.49 KIPS |
|
|
Text Classification (Q)
|
93% |
6323
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5127
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9312
160.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9198
159.0 IPS |
