iPhone18,1
Geekbench AI Score
5043
Single Precision Score
8304
Half Precision Score
6509
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | December 02 2025 03:24 PM |
| Views | 9 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2309
429.4 IPS |
|
|
Image Classification (HP)
|
100% |
3695
687.1 IPS |
|
|
Image Classification (Q)
|
96% |
2471
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3389
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10182
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18747
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15775
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2470
195.9 IPS |
|
|
Object Detection (HP)
|
97% |
4116
327.7 IPS |
|
|
Object Detection (Q)
|
94% |
2763
220.2 IPS |
|
|
Face Detection (SP)
|
100% |
4394
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
8288
98.5 IPS |
|
|
Face Detection (Q)
|
100% |
4207
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8343
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13985
108.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9607
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24108
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37552
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30733
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5395
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4912
181.4 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6486
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5135
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9275
160.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9589
165.7 IPS |
