iPhone18,3
Geekbench AI Score
4486
Single Precision Score
7609
Half Precision Score
6055
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 07:24 AM |
| Views | 1 |
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% |
2167
403.0 IPS |
|
|
Image Classification (HP)
|
100% |
3496
650.1 IPS |
|
|
Image Classification (Q)
|
96% |
2348
438.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2904
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3272
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8045
9.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
16885
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14585
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.7 IPS |
|
|
Object Detection (HP)
|
97% |
3920
312.0 IPS |
|
|
Object Detection (Q)
|
94% |
2639
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
7081
84.1 IPS |
|
|
Face Detection (Q)
|
100% |
3850
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8015
61.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13428
103.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9498
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21251
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36096
46.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30132
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5191
191.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6544
241.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6367
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6339
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4166
71.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6773
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6695
115.7 IPS |
