iPhone18,2
Geekbench AI Score
5164
Single Precision Score
8422
Half Precision Score
6686
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 02:10 AM |
| 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% |
2323
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
3775
702.0 IPS |
|
|
Image Classification (Q)
|
96% |
2511
469.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3052
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3459
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10710
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19426
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16552
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4265
339.6 IPS |
|
|
Object Detection (Q)
|
94% |
2929
233.4 IPS |
|
|
Face Detection (SP)
|
100% |
4619
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8607
102.3 IPS |
|
|
Face Detection (Q)
|
100% |
4537
53.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8540
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14277
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10231
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25064
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38406
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31907
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4981
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
6081
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6201
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5293
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9414
162.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9281
160.4 IPS |
