iPhone18,3
Geekbench AI Score
4561
Single Precision Score
7668
Half Precision Score
6051
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 19 2025 05:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (HP)
|
100% |
3483
647.8 IPS |
|
|
Image Classification (Q)
|
96% |
2365
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2933
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3293
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9234
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
17949
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15091
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2401
190.4 IPS |
|
|
Object Detection (HP)
|
97% |
3878
308.8 IPS |
|
|
Object Detection (Q)
|
94% |
2569
204.8 IPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7009
83.3 IPS |
|
|
Face Detection (Q)
|
100% |
3734
44.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7989
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13368
103.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9191
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21086
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36113
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29766
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5181
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6689
247.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4867
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6495
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6482
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
3994
68.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6725
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6763
116.9 IPS |
