iPhone18,4
Geekbench AI Score
5025
Single Precision Score
8181
Half Precision Score
6422
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2267
421.6 IPS |
|
|
Image Classification (HP)
|
100% |
3638
676.5 IPS |
|
|
Image Classification (Q)
|
96% |
2426
453.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2084
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2963
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3336
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10308
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18336
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
15720
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2526
200.4 IPS |
|
|
Object Detection (HP)
|
97% |
4022
320.2 IPS |
|
|
Object Detection (Q)
|
94% |
2786
222.0 IPS |
|
|
Face Detection (SP)
|
100% |
4301
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
8147
96.8 IPS |
|
|
Face Detection (Q)
|
100% |
4251
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8073
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13891
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9609
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23442
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37061
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30153
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5529
204.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6830
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4812
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6349
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6336
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5241
90.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9298
160.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8965
154.9 IPS |
