iPhone18,3
Geekbench AI Score
4659
Single Precision Score
7821
Half Precision Score
6249
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 11:47 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2191
407.5 IPS |
|
|
Image Classification (HP)
|
100% |
3563
662.6 IPS |
|
|
Image Classification (Q)
|
96% |
2408
449.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2949
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3299
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9779
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18979
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16009
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.9 IPS |
|
|
Object Detection (HP)
|
97% |
4051
322.5 IPS |
|
|
Object Detection (Q)
|
94% |
2780
221.6 IPS |
|
|
Face Detection (SP)
|
100% |
3664
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
7112
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
4095
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13829
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9957
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21731
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38029
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31395
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5362
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4991
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3318
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6077
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6032
8.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4216
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6770
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6674
115.3 IPS |
