iPhone18,4
Geekbench AI Score
7182
Single Precision Score
15487
Half Precision Score
15477
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | BlackLabel |
| Upload Date | November 01 2025 11:00 PM |
| Views | 8 |
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% |
3960
736.4 IPS |
|
|
Image Classification (HP)
|
100% |
7390
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
7019
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5354
86.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8814
142.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9283
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17880
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48522
56.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
56753
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
3944
312.9 IPS |
|
|
Object Detection (HP)
|
100% |
7616
604.1 IPS |
|
|
Object Detection (Q)
|
93% |
7045
562.0 IPS |
|
|
Face Detection (SP)
|
100% |
11006
130.8 IPS |
|
|
Face Detection (HP)
|
100% |
21757
258.5 IPS |
|
|
Face Detection (Q)
|
100% |
16399
194.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15694
120.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33504
258.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
30927
241.5 IPS |
|
|
Style Transfer (SP)
|
100% |
39122
50.3 IPS |
|
|
Style Transfer (HP)
|
100% |
80672
103.7 IPS |
|
|
Style Transfer (Q)
|
96% |
93429
120.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9217
340.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17814
657.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20586
760.1 IPS |
|
|
Text Classification (SP)
|
100% |
3555
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6487
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6404
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4855
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4849
83.8 IPS |
