iPhone18,2
Geekbench AI Score
5059
Single Precision Score
8229
Half Precision Score
6490
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 01 2025 09:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2318
431.0 IPS |
|
|
Image Classification (HP)
|
100% |
3697
687.6 IPS |
|
|
Image Classification (Q)
|
96% |
2475
462.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3021
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3414
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10112
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18391
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15264
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2518
199.7 IPS |
|
|
Object Detection (HP)
|
97% |
4130
328.8 IPS |
|
|
Object Detection (Q)
|
94% |
2773
221.0 IPS |
|
|
Face Detection (SP)
|
100% |
4396
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
8248
98.0 IPS |
|
|
Face Detection (Q)
|
100% |
4225
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8375
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13774
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9710
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23891
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37103
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30494
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5366
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6822
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4860
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
3547
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6384
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5294
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9116
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9552
165.1 IPS |
