iPhone18,3
Geekbench AI Score
4636
Single Precision Score
7844
Half Precision Score
6220
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jkochar |
| Upload Date | October 05 2025 01:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2182
405.8 IPS |
|
|
Image Classification (HP)
|
100% |
3529
656.2 IPS |
|
|
Image Classification (Q)
|
96% |
2366
441.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3350
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9370
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18291
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15545
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
97% |
4029
320.8 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7283
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4022
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8139
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13857
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9745
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21815
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37664
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30645
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5276
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6811
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4857
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6495
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6460
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4022
69.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6845
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6927
119.7 IPS |
