iPhone18,2
Geekbench AI Score
5073
Single Precision Score
8244
Half Precision Score
6487
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 18 2025 07:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2299
427.5 IPS |
|
|
Image Classification (HP)
|
100% |
3638
676.6 IPS |
|
|
Image Classification (Q)
|
96% |
2445
456.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10332
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18773
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16020
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2613
207.2 IPS |
|
|
Object Detection (HP)
|
97% |
4049
322.3 IPS |
|
|
Object Detection (Q)
|
94% |
2779
221.5 IPS |
|
|
Face Detection (SP)
|
100% |
4404
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
8400
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4282
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8276
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14014
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9805
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24303
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37398
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30499
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5468
201.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6823
251.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4943
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
3440
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6159
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6048
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9516
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9368
161.9 IPS |
