iPhone18,3
Geekbench AI Score
4627
Single Precision Score
7769
Half Precision Score
6163
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 11:42 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
3580
665.7 IPS |
|
|
Image Classification (Q)
|
96% |
2411
450.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3334
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9546
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17763
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15281
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.7 IPS |
|
|
Object Detection (HP)
|
97% |
4050
322.4 IPS |
|
|
Object Detection (Q)
|
94% |
2659
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
7196
85.5 IPS |
|
|
Face Detection (Q)
|
100% |
3925
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7845
60.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13253
102.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9474
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21565
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36746
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30075
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5322
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6848
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4928
182.0 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6373
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6525
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6887
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6739
116.5 IPS |
