iPhone18,3
Geekbench AI Score
4560
Single Precision Score
7618
Half Precision Score
5977
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Frankie_V |
| Upload Date | October 21 2025 01:29 PM |
| Views | 4 |
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% |
2203
409.6 IPS |
|
|
Image Classification (HP)
|
100% |
3475
646.3 IPS |
|
|
Image Classification (Q)
|
96% |
2358
440.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2848
46.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3235
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9390
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17888
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15295
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2409
191.1 IPS |
|
|
Object Detection (HP)
|
97% |
3853
306.8 IPS |
|
|
Object Detection (Q)
|
94% |
2579
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7076
84.1 IPS |
|
|
Face Detection (Q)
|
100% |
3684
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7941
61.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13166
101.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9354
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21123
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36208
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29731
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4979
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6692
247.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4707
173.8 IPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6311
8.42 KIPS |
|
|
Text Classification (Q)
|
93% |
6307
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4013
69.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6779
117.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6359
109.9 IPS |
