iPhone18,4
Geekbench AI Score
5081
Single Precision Score
8298
Half Precision Score
6603
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 14 2025 07:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
100% |
3721
692.0 IPS |
|
|
Image Classification (Q)
|
96% |
2486
464.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2055
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2883
46.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10316
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18908
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16118
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2571
203.9 IPS |
|
|
Object Detection (HP)
|
97% |
4067
323.8 IPS |
|
|
Object Detection (Q)
|
94% |
2802
223.3 IPS |
|
|
Face Detection (SP)
|
100% |
4347
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
8172
97.1 IPS |
|
|
Face Detection (Q)
|
100% |
4363
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13996
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10003
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24591
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37838
48.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31049
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5473
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7003
258.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5019
185.3 IPS |
|
|
Text Classification (SP)
|
100% |
3581
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6624
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6532
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5250
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9348
161.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9400
162.4 IPS |
