iPhone18,2
Geekbench AI Score
5096
Single Precision Score
8294
Half Precision Score
6559
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 01:46 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2311
429.9 IPS |
|
|
Image Classification (HP)
|
100% |
3678
684.0 IPS |
|
|
Image Classification (Q)
|
96% |
2448
457.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3411
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10353
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19038
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16271
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4146
330.0 IPS |
|
|
Object Detection (Q)
|
94% |
2850
227.2 IPS |
|
|
Face Detection (SP)
|
100% |
4560
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8441
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4425
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14156
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9974
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24279
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37389
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31032
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5554
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6990
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4980
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6068
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5941
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5233
90.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9254
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9398
162.4 IPS |
