iPhone18,2
Geekbench AI Score
5128
Single Precision Score
8258
Half Precision Score
6560
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 09:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
3668
682.1 IPS |
|
|
Image Classification (Q)
|
96% |
2465
460.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3424
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10779
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18968
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16207
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (HP)
|
97% |
4141
329.7 IPS |
|
|
Object Detection (Q)
|
94% |
2877
229.3 IPS |
|
|
Face Detection (SP)
|
100% |
4559
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8423
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4416
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14028
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10017
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24234
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37501
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30853
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5641
208.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6926
255.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4872
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6019
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5886
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5340
92.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9420
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9583
165.6 IPS |
