iPhone18,2
Geekbench AI Score
4215
Single Precision Score
6784
Half Precision Score
5567
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2314
430.3 IPS |
|
|
Image Classification (HP)
|
100% |
3667
682.0 IPS |
|
|
Image Classification (Q)
|
96% |
2137
399.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3176
51.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7849
9.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
15824
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13411
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2284
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
7264
86.3 IPS |
|
|
Face Detection (Q)
|
100% |
3554
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7742
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13337
103.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
8474
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22279
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23259
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26693
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5118
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5768
213.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3831
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
2745
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
4679
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4539
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9547
165.0 IPS |
