iPhone18,2
Geekbench AI Score
5149
Single Precision Score
8389
Half Precision Score
6601
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 10:57 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2367
440.2 IPS |
|
|
Image Classification (HP)
|
100% |
3741
695.8 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3038
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10568
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19013
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16503
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
97% |
4186
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2890
230.4 IPS |
|
|
Face Detection (SP)
|
100% |
4532
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8463
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4405
52.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8516
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14325
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9820
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25072
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39064
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31965
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5668
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7020
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4984
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6078
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5918
7.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9452
163.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9502
164.2 IPS |
