iPhone18,1
Geekbench AI Score
4986
Single Precision Score
8183
Half Precision Score
6396
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | AndyTung |
| Upload Date | October 07 2025 04:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2248
418.1 IPS |
|
|
Image Classification (HP)
|
100% |
3627
674.5 IPS |
|
|
Image Classification (Q)
|
96% |
2427
453.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2986
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3337
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9738
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17755
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15210
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
97% |
4045
322.0 IPS |
|
|
Object Detection (Q)
|
94% |
2631
209.7 IPS |
|
|
Face Detection (SP)
|
100% |
4271
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
8021
95.3 IPS |
|
|
Face Detection (Q)
|
100% |
4095
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13553
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9614
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23716
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37292
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30134
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5418
200.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6850
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4876
180.0 IPS |
|
|
Text Classification (SP)
|
100% |
3582
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6784
9.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6582
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5188
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9198
158.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9299
160.7 IPS |
