iPhone18,2
Geekbench AI Score
5064
Single Precision Score
8337
Half Precision Score
6549
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | October 16 2025 07:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.6 IPS |
|
|
Image Classification (HP)
|
100% |
3767
700.6 IPS |
|
|
Image Classification (Q)
|
96% |
2469
461.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3020
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3446
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9787
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18501
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15674
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2510
199.1 IPS |
|
|
Object Detection (HP)
|
97% |
4191
333.6 IPS |
|
|
Object Detection (Q)
|
94% |
2794
222.7 IPS |
|
|
Face Detection (SP)
|
100% |
4453
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
8280
98.4 IPS |
|
|
Face Detection (Q)
|
100% |
4259
50.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8410
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14094
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10065
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24502
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37663
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30753
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5517
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6941
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4978
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6392
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6391
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5207
89.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9439
163.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9300
160.7 IPS |
