iPhone18,2
Geekbench AI Score
5077
Single Precision Score
8350
Half Precision Score
6593
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:17 PM |
| Views | 1 |
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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
3682
684.7 IPS |
|
|
Image Classification (Q)
|
96% |
2482
463.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3071
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3428
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10737
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19262
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16390
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2599
206.2 IPS |
|
|
Object Detection (HP)
|
97% |
4135
329.2 IPS |
|
|
Object Detection (Q)
|
94% |
2877
229.3 IPS |
|
|
Face Detection (SP)
|
100% |
4596
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8439
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4413
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8365
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14286
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9941
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24619
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37732
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31342
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5637
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7113
262.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4977
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
6032
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4649
80.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9389
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9381
162.1 IPS |
