iPhone18,4
Geekbench AI Score
4865
Single Precision Score
8002
Half Precision Score
6253
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 03:10 AM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.2 IPS |
|
|
Image Classification (HP)
|
100% |
3662
680.9 IPS |
|
|
Image Classification (Q)
|
96% |
2396
447.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2964
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3343
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9784
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17635
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14815
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.3 IPS |
|
|
Object Detection (HP)
|
97% |
3905
310.9 IPS |
|
|
Object Detection (Q)
|
94% |
2564
204.4 IPS |
|
|
Face Detection (SP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
7674
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
3956
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8032
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13440
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9119
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23036
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35110
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
29698
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5313
196.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6766
249.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4819
177.9 IPS |
|
|
Text Classification (SP)
|
100% |
3496
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6389
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6349
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4969
85.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9204
159.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9174
158.5 IPS |
