iPhone18,2
Geekbench AI Score
5036
Single Precision Score
8255
Half Precision Score
6430
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2309
429.3 IPS |
|
|
Image Classification (HP)
|
100% |
3693
686.8 IPS |
|
|
Image Classification (Q)
|
96% |
2461
459.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3008
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3388
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10064
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18637
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15609
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
97% |
4076
324.5 IPS |
|
|
Object Detection (Q)
|
94% |
2727
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
4372
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8178
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8233
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13946
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9784
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23857
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37004
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30515
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5345
197.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6867
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4870
179.8 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6407
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6009
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5114
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9385
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9299
160.7 IPS |
