iPhone18,2
Geekbench AI Score
5201
Single Precision Score
8482
Half Precision Score
6717
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 05:00 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
3804
707.4 IPS |
|
|
Image Classification (Q)
|
96% |
2512
469.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3029
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3444
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11030
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19694
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16227
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
97% |
4246
338.0 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4692
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
8558
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4569
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8465
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14461
111.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10277
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25157
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
39085
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
32076
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7057
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5044
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
6231
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5316
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9414
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9462
163.5 IPS |
