iPhone18,1
Geekbench AI Score
5210
Single Precision Score
8540
Half Precision Score
6758
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 10:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2348
436.6 IPS |
|
|
Image Classification (HP)
|
100% |
3802
707.1 IPS |
|
|
Image Classification (Q)
|
96% |
2522
471.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3049
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3460
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11201
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20144
23.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17221
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
97% |
4255
338.8 IPS |
|
|
Object Detection (Q)
|
94% |
2920
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
4704
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
8622
102.4 IPS |
|
|
Face Detection (Q)
|
100% |
4599
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8552
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14529
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10305
80.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24724
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
39320
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32426
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6994
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3282
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6071
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6127
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
5239
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9935
171.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9601
165.9 IPS |
