iPhone18,3
Geekbench AI Score
4533
Single Precision Score
7711
Half Precision Score
6105
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 07:56 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2155
400.8 IPS |
|
|
Image Classification (HP)
|
100% |
3506
651.9 IPS |
|
|
Image Classification (Q)
|
96% |
2363
441.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1854
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2947
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3295
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9115
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17776
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14770
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.1 IPS |
|
|
Object Detection (HP)
|
97% |
3939
313.6 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
3584
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
7147
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
3908
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7883
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13637
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9555
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20918
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36033
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29650
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6733
248.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3550
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6471
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6510
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4151
71.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6719
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6768
117.0 IPS |
