iPhone18,2
Geekbench AI Score
5218
Single Precision Score
8517
Half Precision Score
6747
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 11:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
3819
710.2 IPS |
|
|
Image Classification (Q)
|
96% |
2517
470.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3074
49.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11153
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20055
23.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17068
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4270
339.9 IPS |
|
|
Object Detection (Q)
|
94% |
2924
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
8586
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
4572
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8580
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14602
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10296
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25303
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39334
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32497
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5750
212.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7053
260.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5088
187.9 IPS |
|
|
Text Classification (SP)
|
100% |
3263
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5926
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
6027
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9700
167.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9680
167.3 IPS |
