iPhone18,3
Geekbench AI Score
4587
Single Precision Score
7686
Half Precision Score
6126
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 18 2025 05:58 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
3493
649.6 IPS |
|
|
Image Classification (Q)
|
96% |
2377
443.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9053
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17589
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14960
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
97% |
4017
319.8 IPS |
|
|
Object Detection (Q)
|
94% |
2730
217.6 IPS |
|
|
Face Detection (SP)
|
100% |
3612
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7168
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
3968
47.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7941
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13767
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9703
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21409
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36938
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30372
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5217
192.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6687
246.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4861
179.5 IPS |
|
|
Text Classification (SP)
|
100% |
3444
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6079
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6135
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6719
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6712
116.0 IPS |
