iPhone18,2
Geekbench AI Score
5154
Single Precision Score
8430
Half Precision Score
6607
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | October 16 2025 07:50 PM |
| Views | 8 |
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% |
2322
431.8 IPS |
|
|
Image Classification (HP)
|
100% |
3757
698.7 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3005
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3421
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10466
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18996
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15908
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (HP)
|
97% |
4192
333.7 IPS |
|
|
Object Detection (Q)
|
94% |
2833
225.8 IPS |
|
|
Face Detection (SP)
|
100% |
4551
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8407
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4318
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8420
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14228
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10011
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24599
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38521
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31263
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5621
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6977
257.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6625
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6400
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9477
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9563
165.3 IPS |
