iPhone18,2
Geekbench AI Score
9003
Single Precision Score
16776
Half Precision Score
17364
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:47 PM |
| Views | 9 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4274
794.8 IPS |
|
|
Image Classification (HP)
|
100% |
7974
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7357
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6063
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9518
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10452
169.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20235
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53787
62.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58736
68.8 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8102
642.6 IPS |
|
|
Object Detection (Q)
|
93% |
8039
641.3 IPS |
|
|
Face Detection (SP)
|
100% |
11770
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
23116
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
18334
217.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17890
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35033
269.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
37839
295.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43427
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
94149
121.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119783
154.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10403
384.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19082
704.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22391
826.8 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6138
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6184
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4891
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5981
103.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5966
103.1 IPS |
