iPhone18,2
Geekbench AI Score
5136
Single Precision Score
8416
Half Precision Score
6654
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:42 AM |
| 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% |
2322
431.7 IPS |
|
|
Image Classification (HP)
|
100% |
3774
701.8 IPS |
|
|
Image Classification (Q)
|
96% |
2489
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3023
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10956
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19688
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16872
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (HP)
|
97% |
4161
331.2 IPS |
|
|
Object Detection (Q)
|
94% |
2885
229.9 IPS |
|
|
Face Detection (SP)
|
100% |
4608
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8467
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4479
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14279
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10085
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24702
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38769
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31988
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5562
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6998
258.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4998
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3256
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6113
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6055
8.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5178
89.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9522
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9447
163.3 IPS |
