iPhone18,4
Geekbench AI Score
7566
Single Precision Score
15564
Half Precision Score
15764
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 07:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
3935
731.8 IPS |
|
|
Image Classification (HP)
|
100% |
7331
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6789
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5352
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8800
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9294
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18048
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48693
56.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
56959
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
3947
313.1 IPS |
|
|
Object Detection (HP)
|
100% |
7566
600.1 IPS |
|
|
Object Detection (Q)
|
93% |
7026
560.5 IPS |
|
|
Face Detection (SP)
|
100% |
10981
130.5 IPS |
|
|
Face Detection (HP)
|
100% |
21836
259.5 IPS |
|
|
Face Detection (Q)
|
100% |
16369
194.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15956
122.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33547
258.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
34900
272.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39515
50.8 IPS |
|
|
Style Transfer (HP)
|
100% |
87544
112.5 IPS |
|
|
Style Transfer (Q)
|
96% |
108140
139.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9159
338.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17605
650.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20188
745.4 IPS |
|
|
Text Classification (SP)
|
100% |
3526
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1833
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4859
83.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4741
81.9 IPS |
