iPhone18,3
Geekbench AI Score
4625
Single Precision Score
7739
Half Precision Score
6102
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sichunlam |
| Upload Date | December 04 2025 10:36 PM |
| Views | 2 |
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 | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2160
401.6 IPS |
|
|
Image Classification (HP)
|
100% |
3500
651.0 IPS |
|
|
Image Classification (Q)
|
96% |
2364
441.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9329
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17555
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14823
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2393
189.8 IPS |
|
|
Object Detection (HP)
|
97% |
3992
317.8 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
3653
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
7198
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
3903
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8010
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13540
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9265
72.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21359
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36320
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
29931
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5171
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6676
246.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4839
178.7 IPS |
|
|
Text Classification (SP)
|
100% |
3655
4.88 KIPS |
|
|
Text Classification (HP)
|
99% |
6664
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4292
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6938
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7000
121.0 IPS |
