iPhone18,4
Geekbench AI Score
2760
Single Precision Score
19346
Half Precision Score
25287
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 1.69 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.3 IPS |
|
|
Image Classification (HP)
|
100% |
15951
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
23781
4.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2029
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5455
88.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8834
143.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2166
2.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
81011
94.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
156137
183.0 IPS |
|
|
Object Detection (SP)
|
100% |
1706
135.3 IPS |
|
|
Object Detection (HP)
|
100% |
9768
774.8 IPS |
|
|
Object Detection (Q)
|
91% |
14593
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
17752
210.9 IPS |
|
|
Face Detection (Q)
|
100% |
19679
233.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6863
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99716
768.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
150661
1.18 KIPS |
|
|
Style Transfer (SP)
|
100% |
10483
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
115058
147.9 IPS |
|
|
Style Transfer (Q)
|
96% |
99525
128.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21816
805.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37067
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
3747
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2005
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5717
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5450
94.2 IPS |
