iPhone18,2
Geekbench AI Score
9089
Single Precision Score
16820
Half Precision Score
17415
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4304
800.4 IPS |
|
|
Image Classification (HP)
|
100% |
8030
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7529
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6062
98.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9501
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10539
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20223
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53951
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
58150
68.2 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8106
642.9 IPS |
|
|
Object Detection (Q)
|
93% |
8055
642.6 IPS |
|
|
Face Detection (SP)
|
100% |
11787
140.1 IPS |
|
|
Face Detection (HP)
|
100% |
23144
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
17961
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17995
138.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35407
272.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38457
300.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43199
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
95474
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
119150
153.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10422
384.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18330
676.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22438
828.5 IPS |
|
|
Text Classification (SP)
|
100% |
3513
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6317
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6281
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4941
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5999
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5955
102.9 IPS |
