iPhone18,2
Geekbench AI Score
5064
Single Precision Score
8279
Half Precision Score
6515
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | November 18 2025 01:44 PM |
| Views | 7 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.8 IPS |
|
|
Image Classification (Q)
|
96% |
2476
462.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3001
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3265
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9726
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18673
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15989
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
97% |
4143
329.8 IPS |
|
|
Object Detection (Q)
|
94% |
2811
224.1 IPS |
|
|
Face Detection (SP)
|
100% |
4541
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8347
99.2 IPS |
|
|
Face Detection (Q)
|
100% |
4325
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14115
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9888
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23993
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37667
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30686
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5346
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6822
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4859
179.4 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6371
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6348
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5279
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9128
157.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9372
162.0 IPS |
