iPhone18,2
Geekbench AI Score
5108
Single Precision Score
8362
Half Precision Score
6521
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 02:58 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% |
2330
433.3 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.1 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3441
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10396
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18926
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15711
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2543
201.7 IPS |
|
|
Object Detection (HP)
|
97% |
4155
330.8 IPS |
|
|
Object Detection (Q)
|
94% |
2823
225.0 IPS |
|
|
Face Detection (SP)
|
100% |
4545
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
8443
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4317
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14067
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9879
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24079
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37780
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30751
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5496
202.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6971
257.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4927
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6394
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6362
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5297
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9471
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8968
155.0 IPS |
