iPhone18,4
Geekbench AI Score
4893
Single Precision Score
8058
Half Precision Score
6266
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 22 2025 01:40 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
3725
692.8 IPS |
|
|
Image Classification (Q)
|
96% |
2380
444.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3304
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9697
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17730
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14860
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.7 IPS |
|
|
Object Detection (HP)
|
97% |
3916
311.8 IPS |
|
|
Object Detection (Q)
|
94% |
2534
202.0 IPS |
|
|
Face Detection (SP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
7661
91.0 IPS |
|
|
Face Detection (Q)
|
100% |
3957
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8007
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13656
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9314
72.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23388
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35861
46.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29731
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5388
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6843
252.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3494
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6404
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6377
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5120
88.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9253
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9219
159.3 IPS |
