iPhone18,1
Geekbench AI Score
9068
Single Precision Score
16857
Half Precision Score
17389
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 02:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.11 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4270
794.0 IPS |
|
|
Image Classification (HP)
|
100% |
7973
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7551
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6083
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9516
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10536
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20230
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53843
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58405
68.5 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8077
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8092
645.5 IPS |
|
|
Face Detection (SP)
|
100% |
11765
139.8 IPS |
|
|
Face Detection (HP)
|
100% |
23119
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17973
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17895
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35434
273.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
38246
298.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43371
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
95922
123.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119083
153.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19411
716.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22114
816.6 IPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6322
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6354
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4872
83.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5825
100.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5847
101.1 IPS |
