iPhone18,1
Geekbench AI Score
4858
Single Precision Score
7675
Half Precision Score
6298
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 05 2025 06:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2301
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
2673
497.0 IPS |
|
|
Image Classification (Q)
|
96% |
2364
441.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2637
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8865
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17046
19.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14552
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
97% |
3876
308.6 IPS |
|
|
Object Detection (Q)
|
94% |
2641
210.5 IPS |
|
|
Face Detection (SP)
|
100% |
4151
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
7822
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4012
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8075
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13439
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9485
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23052
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36414
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29919
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5188
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6717
248.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4812
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6790
9.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6745
9.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5005
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8731
150.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8895
153.7 IPS |
