iPhone18,2
Geekbench AI Score
5129
Single Precision Score
8421
Half Precision Score
6616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 04:42 PM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2314
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
3729
693.5 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3044
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3474
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10485
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18997
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16479
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2632
208.8 IPS |
|
|
Object Detection (HP)
|
97% |
4204
334.7 IPS |
|
|
Object Detection (Q)
|
94% |
2854
227.5 IPS |
|
|
Face Detection (SP)
|
100% |
4556
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
8453
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4424
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8511
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14299
110.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10130
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25036
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39037
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31841
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5073
187.3 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6297
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5889
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9323
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9281
160.4 IPS |
