iPhone18,1
Geekbench AI Score
5166
Single Precision Score
8458
Half Precision Score
6692
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 06 2026 11:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2351
437.3 IPS |
|
|
Image Classification (HP)
|
100% |
3755
698.4 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3035
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3407
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10555
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19663
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16554
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (HP)
|
97% |
4216
335.6 IPS |
|
|
Object Detection (Q)
|
94% |
2896
230.9 IPS |
|
|
Face Detection (SP)
|
100% |
4613
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8491
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4479
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8522
65.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14181
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10149
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25200
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39395
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32322
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5700
210.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7139
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5085
187.8 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6205
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6255
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5318
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9441
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9487
163.9 IPS |
