iPhone18,2
Geekbench AI Score
9055
Single Precision Score
16809
Half Precision Score
17426
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 20 2025 02:27 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4232
787.0 IPS |
|
|
Image Classification (HP)
|
100% |
8171
1.52 KIPS |
|
|
Image Classification (Q)
|
97% |
7396
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6038
97.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9502
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10507
170.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20188
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53480
62.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
58093
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4403
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8107
643.1 IPS |
|
|
Object Detection (Q)
|
93% |
8069
643.8 IPS |
|
|
Face Detection (SP)
|
100% |
11776
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
23119
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17963
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17891
137.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35405
272.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38095
297.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43160
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94365
121.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119032
153.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18368
678.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22205
819.9 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6408
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6558
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4839
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5885
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5978
103.3 IPS |
