iPhone18,3
Geekbench AI Score
4513
Single Precision Score
7556
Half Precision Score
6005
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 12:48 PM |
| Views | 2 |
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% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
3485
648.1 IPS |
|
|
Image Classification (Q)
|
96% |
2380
444.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3202
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8947
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17055
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14653
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (HP)
|
97% |
3775
300.5 IPS |
|
|
Object Detection (Q)
|
94% |
2552
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
3504
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
7037
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
3752
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7941
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13131
101.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9304
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20809
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35458
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29391
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6730
248.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4766
176.0 IPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6363
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4009
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6585
113.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6882
118.9 IPS |
