iPhone18,2
Geekbench AI Score
4963
Single Precision Score
8091
Half Precision Score
6446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 04:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2313
430.1 IPS |
|
|
Image Classification (HP)
|
100% |
3741
695.7 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2090
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2996
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3432
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9376
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17982
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15376
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
97% |
4165
331.6 IPS |
|
|
Object Detection (Q)
|
94% |
2759
219.9 IPS |
|
|
Face Detection (SP)
|
100% |
4313
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
8143
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
4180
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13836
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9846
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23993
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37231
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30789
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5459
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6813
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6365
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6350
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5077
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7880
136.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8677
150.0 IPS |
