iPhone18,1
Geekbench AI Score
4982
Single Precision Score
8155
Half Precision Score
6472
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | September 22 2025 11:37 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2306
428.8 IPS |
|
|
Image Classification (HP)
|
100% |
3691
686.4 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3003
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3430
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9938
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17986
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15175
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2521
200.0 IPS |
|
|
Object Detection (HP)
|
97% |
3981
316.9 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
8068
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
4176
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8180
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13854
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9763
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23629
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36748
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30110
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5373
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6763
249.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4940
182.4 IPS |
|
|
Text Classification (SP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6389
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9137
157.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9600
165.9 IPS |
