iPhone18,4
Geekbench AI Score
4780
Single Precision Score
7942
Half Precision Score
6200
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 01:39 PM |
| Views | 5 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2323
431.9 IPS |
|
|
Image Classification (HP)
|
100% |
3756
698.6 IPS |
|
|
Image Classification (Q)
|
96% |
2400
448.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2935
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3304
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9565
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17217
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13873
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.6 IPS |
|
|
Object Detection (HP)
|
97% |
3758
299.1 IPS |
|
|
Object Detection (Q)
|
94% |
2625
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
4028
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7806
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
3987
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7728
59.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13178
101.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9248
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23134
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36222
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29543
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5323
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6698
247.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4805
177.4 IPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6441
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8668
149.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8624
149.0 IPS |
