iPhone18,2
Geekbench AI Score
5065
Single Precision Score
8305
Half Precision Score
6571
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | October 16 2025 07:53 PM |
| Views | 6 |
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% |
2322
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
3758
699.0 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3033
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9750
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18139
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15705
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (HP)
|
97% |
4151
330.5 IPS |
|
|
Object Detection (Q)
|
94% |
2798
223.0 IPS |
|
|
Face Detection (SP)
|
100% |
4494
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
8348
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
4269
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8396
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14052
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10008
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24478
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37652
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31462
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5495
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6855
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4870
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5188
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9306
160.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9481
163.8 IPS |
