iPhone18,1
Geekbench AI Score
5161
Single Precision Score
8428
Half Precision Score
6673
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 12:38 AM |
| Views | 3 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2244
417.3 IPS |
|
|
Image Classification (HP)
|
100% |
3766
700.4 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3049
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3423
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10947
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19748
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17060
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (HP)
|
97% |
4192
333.7 IPS |
|
|
Object Detection (Q)
|
94% |
2902
231.3 IPS |
|
|
Face Detection (SP)
|
100% |
4684
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8588
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4658
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8493
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14367
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10204
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24923
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38113
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31668
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5698
210.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5017
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
6015
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5876
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9486
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9315
161.0 IPS |
