iPhone18,3
Geekbench AI Score
4734
Single Precision Score
7965
Half Precision Score
6374
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | juptr |
| Upload Date | December 06 2025 01:08 PM |
| Views | 7 |
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% |
2204
409.9 IPS |
|
|
Image Classification (HP)
|
100% |
3588
667.3 IPS |
|
|
Image Classification (Q)
|
96% |
2404
449.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1870
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2948
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3358
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10068
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19532
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16416
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.3 IPS |
|
|
Object Detection (HP)
|
97% |
4080
324.8 IPS |
|
|
Object Detection (Q)
|
94% |
2848
227.0 IPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7398
87.9 IPS |
|
|
Face Detection (Q)
|
100% |
4251
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14178
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10005
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22445
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38829
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31741
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5442
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7006
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5010
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6162
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6250
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4332
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6937
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6944
120.0 IPS |
