iPhone18,3
Geekbench AI Score
4610
Single Precision Score
7689
Half Precision Score
6186
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:15 AM |
| 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% |
2156
401.0 IPS |
|
|
Image Classification (HP)
|
100% |
3481
647.4 IPS |
|
|
Image Classification (Q)
|
96% |
2347
438.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3281
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8562
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
18229
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15442
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.4 IPS |
|
|
Object Detection (HP)
|
97% |
3952
314.6 IPS |
|
|
Object Detection (Q)
|
94% |
2747
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
7293
86.7 IPS |
|
|
Face Detection (Q)
|
100% |
4054
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8043
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13681
105.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9705
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21256
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36267
46.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30422
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5303
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6708
247.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3611
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
5995
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6398
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4368
75.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6897
119.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6870
118.7 IPS |
