iPhone18,2
Geekbench AI Score
5184
Single Precision Score
8384
Half Precision Score
6588
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:06 PM |
| Views | 1 |
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% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
3820
710.4 IPS |
|
|
Image Classification (Q)
|
96% |
2514
469.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3018
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3448
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10645
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19630
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16574
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
97% |
4225
336.3 IPS |
|
|
Object Detection (Q)
|
94% |
2898
231.0 IPS |
|
|
Face Detection (SP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8566
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4461
53.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8504
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14033
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9804
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24827
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38744
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31994
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6870
253.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5054
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6042
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5779
7.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5378
92.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9286
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9064
156.6 IPS |
