iPhone18,1
Geekbench AI Score
5000
Single Precision Score
8119
Half Precision Score
6377
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 11:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2262
420.6 IPS |
|
|
Image Classification (HP)
|
100% |
3637
676.4 IPS |
|
|
Image Classification (Q)
|
96% |
2414
450.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2952
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3347
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10228
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18169
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15414
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.0 IPS |
|
|
Object Detection (HP)
|
97% |
3971
316.1 IPS |
|
|
Object Detection (Q)
|
94% |
2723
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8207
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
4244
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8084
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13612
105.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9502
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23114
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36577
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29626
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5340
197.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6822
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4756
175.6 IPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6313
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6272
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5146
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9138
157.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9204
159.1 IPS |
