iPhone18,2
Geekbench AI Score
5196
Single Precision Score
8470
Half Precision Score
6688
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | November 10 2025 06:59 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% |
2354
437.7 IPS |
|
|
Image Classification (HP)
|
100% |
3796
705.9 IPS |
|
|
Image Classification (Q)
|
96% |
2515
469.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10959
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19500
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16737
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
97% |
4236
337.2 IPS |
|
|
Object Detection (Q)
|
94% |
2910
232.0 IPS |
|
|
Face Detection (SP)
|
100% |
4677
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8614
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
4529
53.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8587
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14416
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10227
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25118
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39020
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32138
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5690
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6994
258.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5035
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6242
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6100
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5227
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9503
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9289
160.5 IPS |
