iPhone18,3
Geekbench AI Score
4603
Single Precision Score
7817
Half Precision Score
6192
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | HimenoSena |
| Upload Date | December 07 2025 06:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2176
404.7 IPS |
|
|
Image Classification (HP)
|
100% |
3481
647.3 IPS |
|
|
Image Classification (Q)
|
96% |
2363
441.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3324
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8613
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18393
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15490
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2452
194.5 IPS |
|
|
Object Detection (HP)
|
97% |
4039
321.5 IPS |
|
|
Object Detection (Q)
|
94% |
2682
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
3645
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
7192
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
3935
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8014
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13683
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9612
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21777
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36997
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30518
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5155
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6715
248.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4873
179.9 IPS |
|
|
Text Classification (SP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6556
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6470
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4172
71.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7040
121.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6982
120.7 IPS |
