iPhone18,2
Geekbench AI Score
5075
Single Precision Score
8281
Half Precision Score
6499
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 11:48 AM |
| Views | 7 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
432.9 IPS |
|
|
Image Classification (HP)
|
100% |
3698
687.7 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3013
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3420
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18422
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15869
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.5 IPS |
|
|
Object Detection (HP)
|
97% |
4093
325.8 IPS |
|
|
Object Detection (Q)
|
94% |
2803
223.4 IPS |
|
|
Face Detection (SP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
8304
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
4105
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8264
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13919
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9902
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24282
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37073
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30480
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5405
199.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6851
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4908
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6387
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9595
165.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9171
158.5 IPS |
