iPhone18,2
Geekbench AI Score
9053
Single Precision Score
16669
Half Precision Score
17421
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | December 10 2025 04:32 PM |
| Views | 14 |
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 | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4237
788.0 IPS |
|
|
Image Classification (HP)
|
100% |
7949
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7506
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6049
98.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9499
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10513
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20257
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53721
62.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
58862
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8091
641.8 IPS |
|
|
Object Detection (Q)
|
93% |
8123
648.1 IPS |
|
|
Face Detection (SP)
|
100% |
11637
138.3 IPS |
|
|
Face Detection (HP)
|
100% |
23125
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
18243
216.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17829
137.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34950
269.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37881
295.8 IPS |
|
|
Style Transfer (SP)
|
100% |
43540
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
94630
121.6 IPS |
|
|
Style Transfer (Q)
|
96% |
119916
154.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10415
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18450
681.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22384
826.5 IPS |
|
|
Text Classification (SP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6041
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6139
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4914
84.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5923
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5994
103.6 IPS |
