iPhone18,2
Geekbench AI Score
5160
Single Precision Score
8423
Half Precision Score
6616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 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
431.8 IPS |
|
|
Image Classification (HP)
|
100% |
3757
698.7 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3032
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10919
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19379
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16598
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4133
329.0 IPS |
|
|
Object Detection (Q)
|
94% |
2876
229.2 IPS |
|
|
Face Detection (SP)
|
100% |
4563
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8540
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4418
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8422
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14262
110.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10052
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24836
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37979
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31529
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7129
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6126
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6025
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5311
91.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9755
168.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9258
160.0 IPS |
