iPhone18,1
Geekbench AI Score
5187
Single Precision Score
8471
Half Precision Score
6641
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ROW363 |
| Upload Date | December 24 2025 12:19 PM |
| Views | 12 |
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% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
3753
698.0 IPS |
|
|
Image Classification (Q)
|
96% |
2499
466.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3039
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10797
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19650
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16610
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
97% |
4206
334.9 IPS |
|
|
Object Detection (Q)
|
94% |
2891
230.4 IPS |
|
|
Face Detection (SP)
|
100% |
4665
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8576
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
4469
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8613
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14318
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10183
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25118
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39444
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31951
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5710
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5029
185.7 IPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6223
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5892
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5355
92.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9497
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9407
162.6 IPS |
