iPhone18,2
Geekbench AI Score
5200
Single Precision Score
8441
Half Precision Score
6738
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 04:24 PM |
| Views | 2 |
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% |
2339
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
3774
701.9 IPS |
|
|
Image Classification (Q)
|
96% |
2490
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3452
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11042
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19748
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16833
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (HP)
|
97% |
4264
339.5 IPS |
|
|
Object Detection (Q)
|
94% |
2940
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
4675
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8570
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4613
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8588
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14352
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10296
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25173
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38943
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32393
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5654
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6956
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6150
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5317
91.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9268
160.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9617
166.2 IPS |
