iPhone18,2
Geekbench AI Score
5011
Single Precision Score
8157
Half Precision Score
6418
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 07:55 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
3684
685.1 IPS |
|
|
Image Classification (Q)
|
96% |
2461
459.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2079
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2939
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10031
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18234
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15290
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2539
201.4 IPS |
|
|
Object Detection (HP)
|
97% |
4006
318.9 IPS |
|
|
Object Detection (Q)
|
94% |
2706
215.7 IPS |
|
|
Face Detection (SP)
|
100% |
4325
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
8001
95.1 IPS |
|
|
Face Detection (Q)
|
100% |
4126
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8223
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13907
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9622
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23988
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
36730
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30423
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5205
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6867
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4825
178.2 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6388
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6397
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9200
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9276
160.3 IPS |
