iPhone18,3
Geekbench AI Score
4604
Single Precision Score
7743
Half Precision Score
6110
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 18 2025 08:17 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2182
405.8 IPS |
|
|
Image Classification (HP)
|
100% |
3476
646.4 IPS |
|
|
Image Classification (Q)
|
96% |
2359
440.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1854
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2933
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3281
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9194
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17784
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15139
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.3 IPS |
|
|
Object Detection (HP)
|
97% |
3982
317.0 IPS |
|
|
Object Detection (Q)
|
94% |
2658
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7113
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
3875
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8073
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13677
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9577
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21449
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36319
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30236
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5160
190.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6787
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4842
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3555
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6522
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6333
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4124
71.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6869
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6777
117.1 IPS |
