iPhone18,3
Geekbench AI Score
4655
Single Precision Score
7826
Half Precision Score
6250
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 06:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2171
403.8 IPS |
|
|
Image Classification (HP)
|
100% |
3518
654.3 IPS |
|
|
Image Classification (Q)
|
96% |
2372
443.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2960
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9827
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18654
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15927
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
4028
320.7 IPS |
|
|
Object Detection (Q)
|
94% |
2794
222.7 IPS |
|
|
Face Detection (SP)
|
100% |
3724
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
7278
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4154
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8179
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13800
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9795
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21889
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37497
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30865
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5281
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6882
254.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4931
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
6100
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5978
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4309
74.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6973
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6988
120.8 IPS |
