iPhone18,2
Geekbench AI Score
5142
Single Precision Score
8313
Half Precision Score
6618
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 10:44 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2315
430.4 IPS |
|
|
Image Classification (HP)
|
100% |
3748
697.0 IPS |
|
|
Image Classification (Q)
|
96% |
2465
460.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3029
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3449
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10303
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
19114
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16269
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
97% |
4161
331.2 IPS |
|
|
Object Detection (Q)
|
94% |
2840
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
8478
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4389
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14226
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9900
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24436
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37895
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31419
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6919
255.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4945
182.6 IPS |
|
|
Text Classification (SP)
|
100% |
3600
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6034
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6415
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5369
92.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9156
158.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9475
163.7 IPS |
