iPhone18,2
Geekbench AI Score
9092
Single Precision Score
16515
Half Precision Score
17102
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | stevemops |
| Upload Date | October 17 2025 05:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4240
788.5 IPS |
|
|
Image Classification (HP)
|
100% |
8071
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7409
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6081
98.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9534
154.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10494
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20317
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54000
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58820
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
4407
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8076
640.6 IPS |
|
|
Object Detection (Q)
|
93% |
8065
643.4 IPS |
|
|
Face Detection (SP)
|
100% |
11784
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
23154
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17957
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18027
138.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35450
273.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
39001
304.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43634
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96325
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119797
154.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19029
702.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22541
832.3 IPS |
|
|
Text Classification (SP)
|
100% |
3463
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6355
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6383
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5008
86.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4706
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4808
83.1 IPS |
