iPhone18,3
Geekbench AI Score
4560
Single Precision Score
7727
Half Precision Score
6145
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 20 2025 08:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2173
404.2 IPS |
|
|
Image Classification (HP)
|
100% |
3541
658.5 IPS |
|
|
Image Classification (Q)
|
96% |
2394
447.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1882
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3321
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8759
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18111
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15297
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
97% |
4001
318.5 IPS |
|
|
Object Detection (Q)
|
94% |
2726
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
7281
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
3991
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8103
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13581
105.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9602
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21563
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36835
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30381
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5304
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6829
252.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4949
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3303
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6148
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6044
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4158
71.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6613
114.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6652
114.9 IPS |
