iPhone18,2
Geekbench AI Score
4807
Single Precision Score
7970
Half Precision Score
6246
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 04:38 PM |
| Views | 3 |
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% |
2285
425.0 IPS |
|
|
Image Classification (HP)
|
100% |
3740
695.4 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2958
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3307
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9387
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17300
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14691
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2351
186.5 IPS |
|
|
Object Detection (HP)
|
97% |
3981
317.0 IPS |
|
|
Object Detection (Q)
|
94% |
2604
207.6 IPS |
|
|
Face Detection (SP)
|
100% |
3983
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
7501
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
3977
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7978
61.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13175
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9177
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22660
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36010
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29150
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6920
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4814
177.8 IPS |
|
|
Text Classification (SP)
|
100% |
3469
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6463
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6559
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4686
80.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8538
147.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8570
148.1 IPS |
