iPhone18,4
Geekbench AI Score
3611
Single Precision Score
5912
Half Precision Score
4796
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 06 2025 08:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 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% |
2322
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
3740
695.5 IPS |
|
|
Image Classification (Q)
|
96% |
2520
470.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2980
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3403
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10423
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17401
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13849
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2218
176.0 IPS |
|
|
Object Detection (HP)
|
97% |
3464
275.8 IPS |
|
|
Object Detection (Q)
|
94% |
2381
189.8 IPS |
|
|
Face Detection (SP)
|
100% |
3429
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
4587
54.5 IPS |
|
|
Face Detection (Q)
|
100% |
2460
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6921
53.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
7374
57.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6039
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17327
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33506
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22157
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2694
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4576
169.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3061
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1591
2.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4945
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4142
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1913
32.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3030
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5456
94.3 IPS |
