iPhone18,4
Geekbench AI Score
4676
Single Precision Score
7486
Half Precision Score
6013
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 04 2025 09:09 AM |
| Views | 4 |
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% |
2165
402.7 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.5 IPS |
|
|
Image Classification (Q)
|
96% |
2366
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2899
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3214
52.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9241
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
16883
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13145
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
2076
164.6 IPS |
|
|
Object Detection (HP)
|
97% |
2635
209.8 IPS |
|
|
Object Detection (Q)
|
94% |
2025
161.4 IPS |
|
|
Face Detection (SP)
|
100% |
3734
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
6359
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
3761
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7545
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
12912
99.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9225
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22706
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35814
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29596
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6803
251.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4887
180.5 IPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6540
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6612
8.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8803
152.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9211
159.2 IPS |
