iPhone18,3
Geekbench AI Score
4562
Single Precision Score
7730
Half Precision Score
6159
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | zisu320 |
| Upload Date | November 28 2025 06:58 AM |
| Views | 3 |
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% |
2172
403.8 IPS |
|
|
Image Classification (HP)
|
100% |
3510
652.8 IPS |
|
|
Image Classification (Q)
|
96% |
2387
445.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2877
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3262
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8799
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17976
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15567
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2369
187.9 IPS |
|
|
Object Detection (HP)
|
97% |
4003
318.6 IPS |
|
|
Object Detection (Q)
|
94% |
2733
217.8 IPS |
|
|
Face Detection (SP)
|
100% |
3529
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7252
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4056
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7921
61.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13539
104.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9594
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21333
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36348
46.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30068
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5316
196.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6698
247.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4776
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6318
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6330
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4145
71.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6947
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6704
115.9 IPS |
