iPhone18,4
Geekbench AI Score
6908
Single Precision Score
14674
Half Precision Score
13759
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 14 2025 07:51 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| 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 | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3906
726.4 IPS |
|
|
Image Classification (HP)
|
100% |
7575
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
6892
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5349
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8861
143.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9216
149.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13955
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
39964
46.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
53126
62.3 IPS |
|
|
Object Detection (SP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (HP)
|
100% |
7409
587.7 IPS |
|
|
Object Detection (Q)
|
93% |
7135
569.2 IPS |
|
|
Face Detection (SP)
|
100% |
10921
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
20031
238.0 IPS |
|
|
Face Detection (Q)
|
100% |
15993
190.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14180
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
32320
249.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
35442
276.7 IPS |
|
|
Style Transfer (SP)
|
100% |
34914
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
69776
89.7 IPS |
|
|
Style Transfer (Q)
|
96% |
81357
105.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7699
284.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17989
664.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19787
730.7 IPS |
|
|
Text Classification (SP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6493
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6445
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1961
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4415
76.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1718
29.7 IPS |
