iPhone18,1
Geekbench AI Score
5176
Single Precision Score
8473
Half Precision Score
6620
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 14 2025 07:31 AM |
| Views | 6 |
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% |
2334
434.1 IPS |
|
|
Image Classification (HP)
|
100% |
3762
699.7 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3036
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3422
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10637
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19329
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16124
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2629
208.5 IPS |
|
|
Object Detection (HP)
|
97% |
4220
336.0 IPS |
|
|
Object Detection (Q)
|
94% |
2853
227.4 IPS |
|
|
Face Detection (SP)
|
100% |
4614
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4417
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14332
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10164
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25383
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
39260
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32138
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5676
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7050
260.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5051
186.5 IPS |
|
|
Text Classification (SP)
|
100% |
3286
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6357
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6119
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5355
92.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9541
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9290
160.5 IPS |
