iPhone18,2
Geekbench AI Score
3876
Single Precision Score
7111
Half Precision Score
7340
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | October 13 2025 11:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4251
790.5 IPS |
|
|
Image Classification (HP)
|
100% |
8177
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7511
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6056
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9567
155.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10585
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20243
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53753
62.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
58953
69.1 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8095
642.1 IPS |
|
|
Object Detection (Q)
|
93% |
8075
644.2 IPS |
|
|
Face Detection (SP)
|
100% |
11801
140.2 IPS |
|
|
Face Detection (HP)
|
100% |
23164
275.2 IPS |
|
|
Face Detection (Q)
|
100% |
17974
213.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17964
138.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35265
271.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38938
304.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43220
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96145
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119514
154.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10443
385.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18793
693.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22378
826.3 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6587
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6408
8.60 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
46.8 IPS |
|
|
Machine Translation (HP)
|
0% |
0
64.0 IPS |
|
|
Machine Translation (Q)
|
0% |
0
55.1 IPS |
